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A survey of the professional quality of life of pharmacists and rehabilitation therapists at three public sector hospitals in Gauteng, South Africa
(2024) Moyo, Nonkazimulo
Background- The global goal of Universal Health Coverage (UHC) cannot be achieved without a wellmotivated and productive health workforce. Central to their motivation and productivity is the notion of professional quality of life (ProQOL) that captures both the positive and negative emotions of caring work. However, there is a dearth of empirical studies on the ProQOL of pharmacists and rehabilitation therapists, especially in an African setting. Study aim -The aim of the study was to examine the self-reported ProQOL of pharmacists and rehabilitation therapists at three public sector hospitals in the Gauteng Province of South Africa. Methodology- During 2021, a cross-sectional analytical study was conducted at three public sector hospitals in the Gauteng Province of South Africa. Following informed consent, all eligible pharmacists, pharmacist assistants, occupational therapists, physiotherapists and speech therapists and audiologists completed a self-administered questionnaire electronically. In addition to sociodemographic information, the questionnaire obtained information on compassion satisfaction, burnout, and secondary traumatic stress using the ProQOL scale (version 5) and work-related experiences during the COVID-19 pandemic. STATA® 17 was used for descriptive and multivariate analysis of the survey data. Results- A total of 118 pharmacists and rehabilitation therapists completed the survey. The majority were female (83.00%), single (63.46%), with mean age 30.77 years (SD=9.08). The results revealed moderate mean scores for compassion satisfaction (39.62; SD=5.48), burnout (24.26; SD=5.12) and secondary traumatic stress (23.03; SD=6.31). The predictors of compassion satisfaction were moderate positive COVID-19 experiences score (β=+2.61;95% CI 0.54; 4.68; p=0.014) and high positive COVID-19 experiences score (β =+ 2.68; 95%CI 0.40; 4.96; p=0.021); moderate overall job satisfaction score (β =+ 3.17; 95% CI 0.16; 6.18; p=0.039) and high overall job satisfaction score (β =+ 7.26; 95% CI 4.06; 10.47; p<0.001). The predictors of burnout were being single (β=+2.02 95% CI 0.07; 3.97; p=0.042), full professional registration (β=+4.23; 95% CI 1.79; 6.67; p=0.001), direct involvement in patient care (β=+3.24; 95% CI 0.22; 6.26; p=0.036) and reporting a heavy workload (β=+ 2.61; 95% CI 0.75; 4.48; p=0.007). The predictors of secondary traumatic stress were being male (β=+ 3.26; 95% CI 0.36; 6.15; p=0.028), and full registration (β=+ 5.72; 95% CI 2.41; 9.03; p<0.001). Conclusion- The ProQOL of pharmacists and rehabilitation therapists is influenced by a combination of individual, workplace, and health system factors, suggesting the need for a multifaceted approach to optimise their contribution to the achievement of UHC. Such approach should include provincial health, hospital management, and peer support as well as self-care activities.
A visual analytics approach to characterising disease progression among adults with chronic diseases in rural Agincourt northeast South Africa
(University of the Witwatersrand, Johannesburg, 2024) Nhlapho, Mapule Dorcus; Kabudula, Chodziwadziwa
Chronic diseases pose a significant challenge to the healthcare systems in South Africa, calling for innovative approaches for comprehensive understanding and management. This research study utilizes the Agincourt HDSS-Clinic dataset to design and implement a visual analytics system using the R Shiny web application framework. Focused on adults with chronic diseases, the tool employs dynamic visualizations to show patterns of healthcare utilization and disease progression. Through the R Shiny platform, the system provides a user-friendly interface for exploring and interpreting complex data, offering valuable insights into patient healthcare behaviours and the dynamics of chronic illnesses. The study used data from a total of 26 426 patients consisting of 19 265 (73%) females and 7 161 (27%) males. The study revealed previously unrecognized associations between specific chronic conditions including the existence of a substantial intersection between HIV, Hypertension, and Diabetes with 101 patients experiencing the coexistence of all the three conditions. Notably, the visual analytics system facilitated the identification of distinct healthcare utilization patterns across different demographic groups highlighting the most frequently visited health facility accounted for 5 912 patient visits overall while the least visited health facility accounted for 1 447 patient visits. The findings underscore the effectiveness of visual analytics in uncovering trends within complex datasets. The implications of these findings extend beyond the immediate research scope, influencing healthcare strategies and contributing to the ongoing discussions on innovative solutions for chronic disease management. This study contributes to the evolving field of visual analytics in healthcare, demonstrating the potential for such tools to inform decision-making and enhance patient outcomes
Activity and time spend patterns of residents in low-income settlements in the City of Johannesburg, South Africa
(2024) Bhuda, Hope Prudence Boipelo
Background: Human health risk assessment is concern about estimating the population exposure (HHRA) for environmental pollutants or contaminants. Exposure assessment for population-level require time-activity pattern distributions in association to microenvironments where individuals reside and spend their time. Time-activity patterns in South Africa have not been adequately explored, which may lead to wrong dose estimation for health risk assessment. No in-depth and systematic analyses of time-activity patterns in low-income communities have been done to date in South African context. Aim: The aim of this study was to describe variations on time-activity patterns based on age, sex and socioeconomic status amongst residents of low-income communities in South African township (Matholesville informal settlement). Methodology: A cross-sectional study design was adopted to assess time-activity patterns amongst lowincome residents in South African townships. One Hundred and Thirty (130) households were selected randomly to participate in the study. A questionnaire survey comprising of key questions including demographics, type of household, type of activities conducting indoor, time spent on activities indoor and outdoor in a microenvironment, preferred season of the year and mode of transport commuting to different areas was administered to the study participants. In addition, diaries were used to get information on daily activity time pattern for seven (7) days. Completion of questionnaire were based on interviews with the study participants while diaries were self-administered by the participants daily over seven days. Results In this study, a total of 130 participants aged 18-35 and 36-75 years were included. Approximately 33% and 67% of the respondents were < 35 years and >35 years, respectively. This suggests that most of the households are headed by adults outside the youth age category. About 30 houses were found to be erected using bricks while 100 houses were made of corrugated iron. About 75%, 14%, 8% and 2% of the study respondents were found to fall into the following race, black, coloured, Indian and white. Approximately (83% brick, 71% shacks) of the study respondents attained secondary education the remainder of the respondents attained primary education. The most performed activities inside brick type dwellings are sleeping (100%), cooking (77%), cleaning (70%) and watching television (TV) (60%). While most performed activities indoors for shack dwellings are cleaning (87%), cooking (70%), sleeping (68%) and TV (37%). There is a high prevalence of none employed household heads at 53% for the brick dwelling and 63% for the shack dwellers. The average monthly income was found to be R4 304 and R3 650, for brick and shack type dwellings, respectively. Females were found to perform a larger proportion of indoor household activities than males. A total of 36% was spend on cooking and cleaning followed by 29% of the time watching TV in the brick type dwellings. For the brick dwellers spend 67% indoors and 33% outdoor while for the shack dwellers about 31% of the time is spend indoor. Conclusion: The study had hypothesised that females above 18 years old residing in low-income communities are likely to spend most of their time at home carrying out domestic duties compared to their male counterparts, who are expected to spend most of the time outside the residential spaces. Therefore, the hypothesis for this study is partially confirmed, meaning that women spend most of their time indoor performing household chores than males. It was also found that the time spent indoor is relatively lower than what is globally reported as known to be >80% of the time, people are said to be indoors. This implies that the variation on the socio-economic status and sub-population including country’s dynamic might be the biggest influencer of time-activity pattern. Data obtained from this study can be used to account variability in human health risk assessments and reduce uncertainty in the derived exposure dosage where time spent pattern is considered an important variable. Recommendations: ✓ Future studies may be carried out covering a larger population density to gain more detailed time activity patterns. ✓ This study focused on a low-income settlement which has different characteristics to semi-formal, rural, high tax yield settlements in South Africa. Therefore, a larger study focusing on different socio-economic classes need to be carried out to have a comprehensive time activity pattern dataset for South African population. ✓ The current project focused only on adult age group without considering vulnerable groups (toddlers, and elderly person) time activity pattern. An additional study focusing on children time activity pattern is required in order to gain an understanding on what activities children spend most time.
Association between serum zinc level and dynamics of Group B Streptococcus colonisation among pregnant women in South Africa
(University of the Witwatersrand, Johannesburg, 2024) Dhar, Nisha; Madhi, Shabir A
Background Maternal colonisation by Group B Streptococcus (GBS) is a major risk factor for early onset invasive GBS disease among newborns. Zinc micronutrient plays a critical role in several biological processes that are essential to prevent bacterial colonisation and/or invasion. The aim of this study was to investigate the association of serum zinc levels with GBS rectovaginal new acquisition and clearance from 20 to 37+ weeks gestation in pregnant women. Methods Vaginal and rectal GBS colonisation was determined at 20–25 weeks (visit-1), followed by 3 subsequent visits at 5–6 weeks intervals, until 37–40 weeks gestation (visit-4). Serum was collected at visit-1 and visit-4 and serum zinc was estimated by inductively coupled plasma mass spectrometry. “New acquisition” group was defined as participants for whom GBS culture was negative at visit-1 and acquired GBS in one of the subsequent visits. Participants not colonised with GBS at any visits were categorized as GBS “persistently uncolonised”. Participants who remained colonised throughout all study visits were defined as “persistently colonised” group. GBS “clearance group” included participants who were colonised at enrolment (visit-1) and in whom GBS colonisation cleared by last visit (visit-4). Results Participants in persistently un-colonised group had significantly higher zinc geometric mean concentration (GMC) at visit-1 compared with those who had new acquisition (20.18 µmol/L; 95%CI 17.99-22.64 vs 13.68 µmol/L; 95%CI 12.59-14.87, p=0.03). Higher zinc concentration in the persistently un-colonised group when compared with new acquisition group was significantly associated with lower odds of GBS rectovaginal acquisition [Odds ratio (OR) 0.15, p=0.001]. The lowest zinc threshold significantly associated with 45% lower odds of new acquisition was ≥15 umol/L (27.2% in new acquisition vs 40.5% in persistently un-colonised; OR 0.55; 95%CI 0.31- 0.96; p=0.03). Furthermore, zinc concentration was higher among women in clearance group compared with those in persistently colonised group (20.03 µmol/L; 95%CI 16.54-24.27 vs 16.45 µmol/L; 95%CI 13.32-20.31, p=0.04). Conclusion There was an inverse association between serum zinc levels in pregnant women and odds of GBS acquisition in those not initially colonised. Zinc supplementation in early pregnancy could reduce risk of invasive GBS disease in their newborns
Bayesian spatio-temporal analysis of malaria prevalence in children aged 2-10 years between 2000-2015 in Gabon
(2024) Mougeni, Fabrice Lotola
Abstract Background: In Gabon malaria still threatens the health of children and the country’s economy. In order to contribute in the estimation of malaria burden, in the endemic risk classification, and help in the design of the effective intervention, it is necessary to identify hot spots and cold spots, and to provide policy makers with good estimates of malaria prevalence at the national level with appropriate methods. It is also important, to understand, at a small spatial scale, how some factors are affecting the variation of malaria prevalence. This includes mainly geo-climatic factors, since malaria is related the meteorological conditions. This study focused on the effect of space and time in the distribution of malaria prevalence, and the effect of ecological variables in its variation for children between 2-10 years of age living in Gabon. Method: This study used successive cross-sectional data carried out in four time points: 2000, 2005, 2010, and 2015, using a stratified two-stage sampling method. The survey data provided information on malaria prevalence for children aged 2-10 years, and cluster-level ecological variables. Descriptive analysis such as the mean of the prevalence and the covariates with their standard deviation, on average, overtime, by province and type of residence was carried out, followed by more advanced models for the estimation of the prevalence. Considering the weighting scheme, the prevalence was obtained via the space and time Horvitz and Thompson estimator. This was then smoothed using the Besage York Mollié (BYM) model with space-time interaction, to reduce uncertainty due to the small area. The spatial autocorrelation was determined using the Moran’s I index, and hot spots with the local statistic Getis-Ord General Gi. The relationship between malaria prevalence and predictors was analyzed nationally. Ordinary Least squared (OLS) was used to see if the covariates can explain the spatial autocorrelation observed in the prevalence, Geographically Weighted Regression (GWR) or Spatial Varying Coefficient (SVC) to evaluate if the relationship between prevalence-covariates was not varying by location. Spatio-temporal model for OLS (SPTOLS) was used to account for the effect of time and space, and Geo-Additive Model (GAM) for considering the non-linear relationships. Lastly, Spatial Lag Model (SLM), Spatial Durbin Error Model (SDEM) or Spatial Error Model (SEM), were used for identifying the spillover effects. These were implemented in the Integrated Nested Laplace Approximation (INLA) using Stochastic Partial Differential Equation approach (SPDE). The different methods were compared to find the best one fitting well the data by using the DIC. Results: In total, 336 clusters were used, with 153 (46%), and 183 (54%) in rural and urban areas, respectively. On average, Estuaire province has the highest prevalence, followed by Moyen-Ogooue and Woleu-Ntem, 29% (±16%), 22% (±13%), 21% (±10%), respectively before the estimation using the smooth space-time model with sampling design. On average, after using the space-time smoothing model and the sample design, it was found that the prevalence decreased with year, and then showed a rebound from 2010. The highest value of the prevalence overtime was 46% in the Estuaire province in the year 2000 and the lowest value overtime was 6% in Ogooue-Maritime province in the year 2010. However, the effect of year was not significant. When the weight scheme was introduced, the variance of the estimate was reduced, and the contribution of the space in the variation of malaria prevalence was 46% during 2015. A strong spatial autocorrelation of the prevalence was found. Hot spots changed in magnitude by space and time, often in the north-west and the western part of the country. Cold spots were found mostly in the southern part. The spatial effect became almost null after 290 km (95% Credible Interval (CI): 230;360). The model including only the ecological variables was better in reducing the spatial variation. Using the SDEM, it was clearly seen how the prevalence can be influenced by the change of some risk factors in the nearby clusters or in the same cluster. The increase of malaria prevalence in a cluster was slightly and significantly associated with one-unit increase of: wet days (3%, 95% CI: [1%, 5%]) in the same cluster, and mean temperature (2%, 95% CI: [1%, 3%]) in the nearby clusters. It decreased slightly and significantly with a one-unit increase of day land surface (-2%, 95% CI: [-2%, -1%]) in the same cluster, but only slightly in the nearby clusters (< 1%). For a particular cluster, malaria prevalence decreased (-21%, 95% CI: [-40%, -5%]) greatly with the Insecticide Treated Bed Nets (ITNs) coverage increases in the nearby clusters. In contrast to GAM using SDEM for ITNs coverage only, the relationship between malaria revalence and ITNs coverage was clearly non-linear decreasing after 20% of coverage. Overall, malaria prevalence had non-linear relationship with mean temperature, night land surface temperature, enhanced vegetation index and rainfall. Conclusion: Substantial progress has been made to slow down the spread of malaria in Gabon. However, malaria prevalence is still high, with important spatial variation and hotspots in its distribution. The distribution of hot spots was showing some changes overtime in the cluster of households. Including the spatial effect allowed to obtain more accurate estimate of the prevalence, hence a better estimation of the clinical burden of P.falciparum. This can allow a better allocation of resources. From our findings, results may apply in two aspects: Firstly, in research focused on estimation in malaria. Such research trying to obtain an estimation of malaria outcomes, such as incidence, in different areas are encouraged to check on the spatial or spatio-temporal component in their estimation based on small area estimation with Bayesian approach due to the small level of unit to obtain more accurate estimate. Secondly, in strategies to reduce the prevalence. It is necessary to find strategies to increase, at the cluster of households level, the ITNs coverage to at least 20%, by taking into account some ecological variables implied in the decrease of the prevalence and to improve access to all health care interventions in the rural areas throughout the country. Monitoring the vector control intervention and those ecological variables can contribute to strengthen the action of interventions in public health, because of the spillover effect, which can spread the benefit of intervention over long distance to reach several areas not targeted in the neighborhood. This effect contributes in the cost-effectiveness of the interventions. The national direction of meteorology (DGM) and the NMCP need to work together to mitigate or control adverse climatic change effect on malaria if possible by developing early warning system for malaria. These results can be considered as a baseline for future surveys investigating the malaria distribution in Gabon and elsewhere.
Breast cancer survival to 5 years among young (<40 years) women in the sub-saharan African breast cancer-disparities in outcome (ABC-DO) cohort study
(2024) Abioye, Oyepeju F.
Introduction: Breast cancer remains a key global health challenge, accounting for most prevalent cause of cancer-related deaths worldwide. The impact of age at diagnosis on breast cancer survival has not been extensively investigated within the African context. Therefore, this study’s objectives were to estimate the breast cancer survival time among women 40 years) women in the ABC-DO Cohort Study in SSA. Methods: Secondary data analysis of breast cancer patients from the multi-country ABC-DO Prospective Cohort Study of 5 African countries was carried out. Baseline characteristics of study participants were summarized using descriptive statistics. Kaplan Meier curves were generated to evaluate breast cancer survival time by age group “<40 years, 40-64 years, 65+ years”. With the aid of Cox Multivariate Regression Modelling, factors correlated with a 5-year survival differential between younger and older women were investigated and Hazard Ratios were calculated adjusting for confounders. Results: This study had a total number of 2158 participants, 462 (21.41%) were <40 years at diagnosis, 1314 were between 40-64years (60.89%), while 382 patients were 65 years and above (17.70%). A total of 1211 deaths were recorded at 5 years. The total time at risk and incidence rate at 5 years was 6086.73 person years and 33 per 100 women respectively. The lowest overall survival at 5 years was found among women <40 years (33.46%; CI = 0.28-0.38), followed by women aged 65 years+ (37.63%; CI = 0.32-0.42), and highest overall survival was among women in the 40-64 years age group (42.66%; CI=0.39-0.45). For each country, the 5-year probability of survival was higher among women aged 40-64 compared to women under 40. On Cox multivariate analysis, a 20% rise in mortality was reported among women < 40 years (aHR 1.20; 95% CI= 1.03- 1.36) compared to women between 40-64 years in the final model, at p<0.05. The variables significantly associated with 5-year survival differential between younger and older women were: HIV status, Residence, and Stage at Diagnosis. Conclusion: This study reports that breast cancer survival among women in sub-Saharan Africa is age-specific, with lower 5-year overall and country-specific survival among women < 40 years in comparison to older women. Factors associated with lower survival include stage at diagnosis, HIV status, and area of residence. Young women (<40 years) in SSA remain at risk of increased mortality from breast cancer, hence there is an urgent need for targeted strategies to achieve a more favorable stage at diagnosis and improved survival in this populace.
Characteristics of clients presenting for substance abuse treatment at cosup centresin the City of Tshwane
(2024) Manyane, Tabea Thama
Background: Substance abuse is a growing public health challenge in South Africa. It contributes significantly to the burden of disease. Integrated treatment approaches are required to address the substance abuse problem. The aim of this study was to determine the of risk of harm associated with substance use in subjects enrolled in the community-oriented substance use program (COSUP) in the City of Tshwane, South Africa, using the World Health Organization's Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) tool and determine the demographic characteristics that might be associated with the changes in the ASSIST risk scores and the levels of risk of harm in those subjects. Methodology: A cross-sectional study design was used to retrospectively analyze secondary data collected from subjects enrolled into COSUP at time of enrolment and three-months follow-up from time of enrolment. Descriptive statistics were used to analyze the demographic characteristics. Univariate and multivariate logistic regression analyses of moderate- to high-risk opioid use in relation to demographic characteristics were done. Results: Most subjects were males (91.2%), single (79.8%), black (85.6%) and they were relatively young (median age 31+6.4 years). The high level of risk was found with the use of opioids (74.5%, 607/805), cannabis (28.8%, 232/805), and tobacco (16.1%, 130/805). Moderate levels of risk were found with tobacco (63,9%, 514/805), cannabis (25.6%, 206/805) and opioids (5.1%, 41/805). Moderate and high level of risk was found to be more in males (p=0.03) and in the black race (p=0.02). Multivariate analysis found moderate- to high-risk of opioid use to be positively associated with being married (adjusted odds ratio (aOR) 11.90, 95% confidence interval (CI) 1.30 – 108.20). Conclusion: Hazardous and harmful use of substances was found among users of opioids, cannabis and tobacco. Screening and harm reduction treatment interventions for substance use should be integrated within primary health care. Further research on the perceptions of substance users about harm reduction treatment interventions is required.
Cost utility analysis of long acting muscarinic antagonists (LAMAs) as an alternative to long acting beta agonists (labas) for treatment of severe COPD in the South African public sector
(2024) Thompson, Peggy
Objective- The study purposed to estimate the cost-effectiveness of Tiotropium, compared with Salmeterol and Indacaterol for chronic obstructive pulmonary disease (COPD) patients within the South African public sector. Methods- A global Markov model was adapted for the local setting and developed in Microsoft Excel. Transition probabilities and data on costs, resource use and effectiveness were obtained from literature. Outcomes were calculated for 3-years in the base case, then extrapolated over a 10-year and lifetime time horizon. A 5% discounting rate was applied according to local guidelines. Cost-effectiveness was estimated as the incremental cost per quality adjusted life year (QALY). One-way and probabilistic sensitivity analyses were conducted to consider model uncertainty. Results- When compared with Indacaterol (300µg), Tiotropium was dominant (less costly and more effective) across all time horizons. Conversely, Tiotropium was not cost-effective when compared with Indacaterol (150µg) and dominated by Salmeterol over the 3- and 10-year time horizons. The resulting ICURs exceeded the estimated willingness to pay thresholds for all scenarios. The deterministic sensitivity analysis revealed the new intervention cost and utility for mild COPD impacted most on intervention cost effectiveness. Conclusion- Tiotropium was deemed not cost-effective at the proposed price, when compared to usual care for COPD. A price reduction should be considered, to determine the feasibility of displacing existing maintenance therapies. Indacaterol 150µg appeared more cost-effective at the current price and effectiveness demonstrated.
Determinants of mortality in children younger than five years admitted with severe acute malnutrition to three hospitals in Vhembe district, Limpopo
(2024) Fakudze, Dakalo
Background: In 2014, one-third of child deaths occurring in South African hospitals were attributed to severe acute malnutrition. This study sought to determine demographic, family, socio-economic, clinical, and case-management factors contributing to mortality in severely malnourished children younger than 5 years admitted to three hospitals in Vhembe district, Limpopo, South Africa. Methods: A retrospective record review of children aged 6 to 59 months admitted with severe acute malnutrition over 30 months was conducted. Bivariable and multivariable regression analyses of determinants of mortality were undertaken. Results: Two hundred and forty-five children with severe acute malnutrition were identified. Their median (interquartile [IQR]) age was 14 (10, 18) months. The overall mortality was 26.9% (66/245). Determinants of mortality, based on the multivariable analysis, included diarrhoea on presentation (odds ratio [OR]=3.34, 95% CI 1.38, 8.10); anaemia (OR=3.30, 95% CI 1.28, 8.50]); a raised CRP (OR=9.29, 95% CI 2.81, 30.76]); and hyponatraemia (OR=6.64, 95% CI 2.70, 16.31). HIV status and a diagnosis of shock were not significant determinants of mortality. Conclusion: Severe acute malnutrition mortality was high, particularly for a high middle-income country setting. Factors that may be amenable to intervention include better management of the presenting illness, particularly diarrhea, a focus on electrolyte imbalance correction, and treatment of anemia.
Determinants of sub-optimal glycaemic control among patients enrolled in a medicine dispensing programme in Kwazulu-Natal: A cohort study, 2018 – 2021
(University of the Witwatersrand, Johannesburg, 2023) Johnston, Leigh Clare
Background: In South Africa, type 2 diabetes mellitus (T2DM) is a growing public health problem, thus, by 2030, 50% of T2DM patients, receiving treatment, must achieve optimal glycaemic control (haemoglobin A1c (HbA1c) ≤7%). The CCMDD (Central Chronic Medicines Dispensing and Distribution) programme allows glycaemically-stable patients to collect their medication from community-based pick-up points. While the CCMDD is a large public health programme, there is a paucity in stakeholder’s knowledge of T2DM patients glycaemic control over time. We determined glycaemic control for CCMDD-enrolled T2DM patients in eThekwini, South Africa from 2018-2021, as well as the rate and predictors of becoming sub-optimally controlled. Methods: We performed a cohort study, linking HbA1c data from the National Health Laboratory Service to CCMDD-enrolled patients in eThekwini, South Africa from 2018–2021. We included patients optimally controlled at their baseline HbA1c, and having ≥1 repeat test available. We used Kaplan Meier analysis to assess survival rates and Cox regression to determine associations between time to sub-optimal control (HbA1c > 7%) and several factors. Adjusted hazard ratios (aHR), 95% confidence interval (95% CI), and p-values are reported. Results: Of 41145 T2DM patients enrolled in the CCMDD, 7960 (19%) had an available HbA1c result over the study period. A quarter of patients (2147/7960; 27%) were optimally controlled at their baseline HbA1c. Of those controlled at baseline, 695 (32%) patients had a repeat test available, with 35% (242/695) changing their status to sub-optimal control. Patients prescribed dual-therapy had a higher risk of sub-optimal glycaemic control (aHR: 1.503; 95% CI: 1.16–1.95; p-value=0.002) compared to those on monotherapy. HbA1c testing frequency per national guidelines (aHR: 0.46; 95% CI: 0.24–0.91; p-value=0.024) was associated with a lower hazard of sub-optimal glycaemic control. Conclusions: HbA1c monitoring, in line with testing frequency guidelines, is needed to flag sub- optimally controlled patients who become ineligible for CCMDD enrolment. Patients receiving dual-therapy may require special consideration. Addressing these shortfalls can assist planning and implementation to achieve 2030 targets.
Early life factors associated with childhood trajectories of violence among the birth to twenty- plus cohort in Soweto, South Africa
(University of the Witwatersrand, Johannesburg, 2024) Muchai, Lilian Njeri; Kagura, Juliana; Naicker, Sara
Introduction Violence against children has devastating and long-term negative consequences on individuals' and society's health, social and economic well-being. There is limited research on the life course experience of violence especially in Africa. This study aimed to identify sub-groups of physical & sexual violence victimization patterns separately in childhood, and evaluate early life factors predicting these violence trajectories. Methods This study used data from age 5 to 18 years from the ongoing prospective Birth to Twenty Plus cohort (Bt20+). Children within the Bt20+ cohort with data on physical and sexual violence in at least 2-time points between 5 and 18 years were included in the analyses. Group-based trajectory modelling was employed to identify groups of children with similar patterns of violence over time. Descriptive statistics was used to summarize study variables by violence trajectory group membership, while multivariable logistic regression was used to identify early life factors measured between birth and 5 years, associated with violence trajectory group membership. Results Two trajectory groups were identified for both physical and sexual violence victimization. For physical violence victimization, the majority of participants fell into the adolescent limited group (65.1%) and just over a third (34.9%) of the children were in the chronic increasing group. For sexual violence victimization, most participants fell into the adolescent limited group (74.1%, with a quarter in the late increasing (25.9%) group. Early life factors associated with a higher risk of chronic increasing physical violence victimization trajectory group membership, after adjusting for covariates, were being male (aOR 1.67, 95% CI 1.31; 2.10) and having a mother with at least secondary education compared to higher education (aOR 1.73, 95% CI 1.08; 2.76). In addition, residing in middle, compared to low, socioeconomic households (aOR 0.68, 95% CI 0.50; 0.92) was protective against membership in this group. Residing in high compared to low socioeconomic households, was the only early life factor with marginally significant (aOR 0.63, 95% CI 0.42; 0.95) association with membership in the late-increasing sexual violence victimization trajectory group, with those in better-off households less likely to experience sexual violence victimization with this pattern. Conclusion Children within the same community can follow different patterns of both physical and sexual violence victimization across childhood. Identification of early factors that predict membership to sub-groups of violence trajectories provides key violence prevention intervention points that can preempt or mitigate children’s exposure or experience of violence. Future research should explore a larger variety of early life factors proximal to the child as well as those more distal at the community and school levels
Educational programmes used in teaching nurses mechanical ventilation in adult intensive care units: a scoping review
(2024) Davis, Daniele Ruth
Introduction Mechanical ventilation is a common form of life support intervention and nurses are the key personnel in providing safe and specialized care to these patients. Their education determines whether patients receive optimal quality care and attain the best possible outcomes. Purpose: To identify the available evidence on invasive mechanical ventilation educational programmes developed for teaching all nurses working in adult intensive care units; regardless of their level of qualification or years of experience. It includes the content taught and the method of instruction used. Methods: Due to the breadth of the review topic, a scoping review methodology was considered appropriate and guided by The Joanna Briggs Institute (JBI) Scoping Review methodology. Eligibility criteria using the PCC framework, and relevant keywords and phrases originating from these criteria were used to search five databases in July and August 2022 (PubMed, EBSCO CINAHL, Wiley Online, Scopus and ProQuest). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines were used to report the results. Results: Nine studies fulfilled the inclusion criteria for full review. Four studies were relevant to invasive mechanical ventilation; two studies were specifically related to ventilator associated pneumonia and one each on weaning, endotracheal tube cuff pressure management and the development of a programme for nurses transitioning into the intensive care unit. Conclusion: There is limited evidence of comprehensive educational programmes on invasive mechanical ventilation for all nurses working in the intensive care unit.
Efficacy of water suppression method for controlling the emissions of submicron particles at a quarry, Boksburg, South Africa
(2024) Mkwanazi, D. D.
Background: Respiratory diseases has contributed 70% to worldwide occupational disease mortality in all industrial sectors since over a decade ago. Pneumoconioses occur as a result of accumulation of dust in the lungs. Silicosis, one of the most common forms of pneumoconioses, presents in three different forms namely acute, accelerated, and chronic silicosis. Quarrying and open cast mining are responsible for different workplace hazards including noise, trauma, vibration, ultraviolet radiation, and dust exposure, which may cause silicosis. Lung deposition of particulate matter depend on the particulate matter surface characteristics, aerodynamic size, and weight. Quarrying and stone crushing activities are associated with high levels of crystalline silica release. Water suppression has been proven to effectively control dust in mining and construction industries, but not enough attention has been paid on effects of water suppression on fine particulate matter. Purpose: To evaluate efficacy of water suppression as a dust control measure for submicron particles for the primary, secondary and tertiary treatment processes during the production of stone aggregates in a quarry. Methods: In this cross-sectional study data was collected using a Nanozen dust sampling device to monitor dust emissions in 0.300µm to 10.658µm bin sizes across 4 different sampling points namely primary, secondary, tertiary treatment area, and office complex at a quarry in Boksburg, South Africa. In the primary treatment area big rocks are crushed into 150mm smaller rock without dust suppression, the secondary area breaks them further into 57mm stones with water supperssion applied, and tertiary breaks them into 19mm and smaller stone products under further water suppression conditions. Primary treatment area and office complex were sampled as dry areas, while secondary and tertiary treatment areas were sampled as water suppression areas. Data was analysed based on mass and number concentrations for different bin sizes, and comparisons were made between dry and wet areas. The effect of water treatment (suppression) on submicron bin ranges (0.300-0.915µm) in terms of mass concentration and number concentration was analysed to determine its efficacy in reducing dust emissions in this range. Results: The total average mass concentration of 460.2 µg/m3 (±486.3) was emitted from the primary area without dust suppression with average of 2.22E+08 (±136958.7) number concentration. This was reduced to 6.02µg/m3 and 60.9 million (±552879) mass and number concentration respectively in secondary treatment area with water suppression. In tertiary area emissions were 10.52µg/m3 and 54.8 million particles/cm3 (±828126) respectively for mass and number concentrations following further water suppression, while in office area (no water suppression) 6.07µg/m3 and 44.4 million/cm3 mass and number concentrations were recorded respectively. Conclusions & Recommendations: Data showed reduction of emissions between primary and secondary area by 98.7% (mass concentration) and 72.5% (number concentration). Further treatment in tertiary treatment showed a further decrease in total average number concentration compared to secondary treatment. Emissions at the office block as a control site were consistent with emissions from secondary and tertiary treatment areas, demonstrating possible dispersion by wind. Water suppression was demonstrated to be effective against particle bin sizes larger than 1 micron, with progressively less effect on submicron particles as they became smaller. More research is recommended on suppression of submicron dust particulate matter emission and consideration of number concentration as a key dose matrix to determine exposure.
Estimating and predicting HIV risk using statistical and machine learning methods: a case study using the 2005 to 2015 Zimbabwe demographic health survey data
(2024) Makota, Rutendo Beauty Birri
Background: The 90–90–90 targets were launched by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and partners with the aim to diagnose 90% of all HIV-positive persons, provide antiretroviral therapy (ART) for 90% of those diagnosed, and achieve viral suppression for 90% of those treated by 2020. In Zimbabwe, a population-based survey in 2016 reported that 74.2% of people living with HIV (PLHIV) aged 15–64 years knew their HIV status. Among the PLHIV who knew their status, 86.8% self-reported current use of Antiretroviral treatment (ART), with 86.5% of those who self-reported being virally suppressed. For these 90–90–90 targets to be met, prevalence and incidence rate estimates are crucial in understanding the current status of the HIV epidemic and determining whether the trends are improving to achieve the 2030 target. Ultimately, this will contribute to the achievement of Sustainable Development Goals 3 (SDG 3) and the broader goal of promoting sustainable development and eradicating poverty worldwide by 2030. Using data from household surveys, this thesis provides a unique statistical approach for estimating the incidence and prevalence of the Human Immunodeficiency Virus (HIV). To properly assess the efficacy of focused public health interventions and to appropriately forecast the HIV-related burden placed on healthcare systems, a comprehensive assessment of HIV incidence is essential. Targeting certain age groups with a high risk of infection is necessary to increase the effectiveness of public health interventions. To jointly estimate age-and-timedependent HIV incidence and diagnosis rates, the methodological focus of this thesis was on developing a comprehensive statistical framework for age-dependent HIV incidence estimates. Additionally, the risk of HIV infection was also evaluated using interval censoring methods and machine learning. Finally, geospatial modelling techniques were also utilised to determine the spatial patterns of HIV incidence at district levels and identify hot spots for HIV risk to guide policy. The main aim of this thesis was to estimate and predict HIV risk using statistical and machine learning methods. Study objectives: The study objectives of this thesis were: 1. To determine the effect of several drivers/factors of HIV infection on survival time over a decade in Zimbabwe, using current status data. 2. To determine common risk factors of HIV positivity in Zimbabwe and the prediction capability of machine learning models. 3. To estimate HIV incidence using the catalytic and Farrington models and to test the validity of these estimates at the national and sub-national levels. 4. To estimate the age- and time-dependent prevalence and HIV Force-of-infection (FOI) using current status data by comparing parametric, semi-parametric and non-parametric models; and determining which models best fit the data. 5. To investigate the HIV incidence hotspots in Zimbabwe by using geographicallyweighted regression. Methods: We performed secondary data analysis on cross-sectional data collected from the Zimbabwe Demographic Health Survey (ZDHS) from 2005 to 2015. Datasets from three Zimbabwe Demographic Health Survey HIV test results and adult interviews were merged, and records without an HIV test result were excluded from the analysis. The outcome variable was HIV status. Survey and cluster-adjusted logistic regression were used to determine variables for use in survival analysis with HIV status as the outcome variable. Covariates found significant in the logistic regression were used in survival analysis to determine the factors associated with HIV infection over the ten years. The data for the survival analysis was modelled assuming age at survey imputation (Model 1) and interval-censoring (Model 2). To determine the risk of HIV infection using machine learning methods, the prediction model was fit by adopting 80% of the data for learning/training and 20% for testing/prediction. Resampling was done using the stratified 5-fold cross-validation procedure repeatedly. The best algorithm was the one with the highest F1 score, which was then used to identify individuals with a higher likelihood of HIV infection. Considering that the proportion of those HIV negative and positive was imbalance with a ratio of 4.2:1, we applied resampling methods to handle the class imbalance. We performed the Synthetic Minority Over-sampling Technique (SMOTE) to balance the classes. We evaluated two alternative methods for predicting HIV incidence in Zimbabwe between 2005 and 2015. We estimated HIV incidence from seroprevalence data using the catalytic and Farrington-2-parameter models. These models were validated at the micro and macro levels using community-based cohort incidence and empirical estimates from UNAIDS EPP/SPECTRUM, respectively. To ascertain the age-time effects of HIV risk, we estimated the age- and time-dependent HIV FOI using current status data. Five generalised additive models were explored, ranging from linear, semi-parametric, non-parametric and nonproportional hazards additive models. The Akaike Information Criteria was used to select the best model. The best model was then used to estimate the age- and time-dependent HIV prevalence and force-of-infection. The OLS model was fitted for each survey year to determine the global relationship between HIV incidence and the significant covariates. The Moran's I spatial autocorrelation method was used to assess the spatial independence of residuals. The Getis-Ord Gi* statistic was used for Hotspot Analysis, which identifies statistically significant hot and cold spots using a set of weighted features. Interpolation maps of HIV incidence were created using Empirical Bayesian Kriging to produce smooth surfaces of HIV incidence for visualisation and data generation at the district level. The Multiscale Geographically Weighted Regression method was used to see if the relationship between HIV incidence and covariates varied by district. The software used in the thesis analysis included R software, STATA, Python, ArcGIS and WinBugs. Results: Model goodness of fit test based on the Cox-Snell residuals against the cumulative hazard indicated that the model with interval censoring was the best. On the contrary, the Akaike Information Criterion (AIC) indicated that the normal survival model was the best. Factors associated with a high risk of HIV infection were being female, the number of sexual partners, and having had an STI in the past year prior to the survey. The machine learning model indicated that the XGBoost model had better performance compared to the other 5 models for both the original data and SMOTE processed data. Identical variablesfor both sexes throughout the three survey years for predicting HIV status were: total lifetime number of sex partners, cohabitation duration (grouped), number of household members, age of household head, times away from home in last 12 months, beating justified and religion. The two most influential variable for both males and females were total lifetime number of sex partners and cohabitation duration (grouped). According to these findings, the catalytic model estimated a higher HIV incidence rate than the Farrington model. Compared to cohort estimates, the estimates were within the observed 95% confidence interval, with 88% and 75% agreement for the catalytic and Farrington models, respectively. The limits of agreement observed in the Bland-Altman plot were narrow for all plots, indicating that our model estimates were comparable to cohort estimates. Compared to UNAIDS estimates, the catalytic model predicted a progressive increase in HIV incidence for males throughout all survey years. Without a doubt, HIV incidence declined with each subsequent survey year for all models. Based on birth year cohort-specific prevalence, the female HIV prevalence peaks at approximately 29 years of age and then declines. Between 15 and 30 years, males have a lower cohort-specific prevalence than females. Male cohort-specific prevalence decreases marginally between ages 33 and 39, then peaks at age 40. In all age categories, the cohort-specific FOI is greater in females than males. Moreover, the cohortspecific HIV FOI peaked at age 22 for females and age 40 for males. A 18-year age gap between the male and female HIV FOI peaks was observed. Throughout the decade covered by this study, the Tsholotsho district remained a 99 % confidence hotspot. The impact of STI, condom use and being married on HIV incidence has been strong in the Eastern parts of Zimbabwe with Mashonaland Central, Mashonaland East and Manicaland provinces. From our findings from the Multiscale Geographically Weighted Regression (MGWR), we observed that Matabeleland North’s HIV incidence rates are driven by wealth index, multiple sex partners, STI and females with older partners. Conclusions: The difference between the results from the Cox-Snell residuals graphical method and the model estimates and AIC value may be due to inadequate methods to test the goodness-of-fit of interval-censored data. We concluded that Model 2 with interval-censoring gave better estimates due to its consistency with the published results from the literature. Even though we consider the interval-censoring model as the superior model with regard to our specific data, the method had its own set of limitations. Programmes targeted at HIV testing could use the machine learning approach to identify high-risk individuals. In addition to other risk reduction techniques, machine learning may aid in identifying those who might require Pre-exposure prophylaxis. Based on our results, older men and younger women resembled patterns of higher HIV prevalence and force-of-infection than younger men and older women. This could be an indication of age-disparate sexual relationships. Therefore, HIV prevention programmes should be targeted more at younger females and older males. Lastly, to improve programmatic and policy decisions in the national HIV response, we recommend the triangulation of multiple methods for incidence estimation and interpretation of results. Multiple estimating approaches should be considered to reduce uncertainty in the estimations from various models. The study spread the message that various factors differ from district to district and over time. The study's findings could be useful to policymakersin terms of resource allocation in the context of public health programs. The findings of this study also highlight the importance of focusing on districts like Tsholotsho, which have consistently had a high HIV burden over time. The main strength of this study is dependent on the quality of the data obtained from the surveys. These data were derived from population-based surveys, which provide more reliable and robust data. Another strength of this study was that we did not restrict our analysis to one method; however, we had the opportunity to determine the risk and incidence of HIV by exploring different methodologies. However, the limited number of variables accessible to us for this study constituted one of its drawbacks. We could not determine the impact of variables including viral load, health care spending, HIV- risk groups, and other HIV-related interventions. Additionally, there were missing values in the data, which required making assumptions about their unpredictability and utilising imputation methods that are inherently flawed. Last but not least, a number of the variables were self-reported and, as a result, were vulnerable to recall bias and social desirability bias.
Evaluation of implementation fidelity to national guidelines on management of tuberculosis in paediatric patients in Homa-Bay County, Kenya
(2022) Kiptoon, Sharon Cherono
Background: Tuberculosis (TB) has been a major public health concern for a long time. Infection in children has not been given a lot of focus as in adults despite children being a vulnerable population with weaker immunity. Prognosis is worse when there is HIV/TB coinfection. The WHO rolled out guidelines for the management of TB in pediatric patients which were adopted by the Kenya Government. Health care workers then implement the guidelines. The Objectives of this study were to measure adherence to national guidelines on the management of Tuberculosis in Pediatric patients (up to 14 years) and to identify moderators affecting implementation fidelity. Methods: A convergent parallel mixed method design was used to collect information from TB treatment sites in Homa bay County. The study was conducted during the months of August, September and October 2018.Quantitative data collected focused on Pediatric patients between ages zero and 14. A checklist based on the guidelines was designed to review 442 records in the clinics for a four-year period (2014 to 2018). Qualitative data was collected through in-depth interviews with eight Sub-County TB coordinators. Interview moderators were based on Carrol et al Implementation Fidelity framework. Summation of "yes" and "No" responses were tallied to get an adherence score for the County as a whole and for the sub-counties individually. The qualitative analysis used the thematic method in excel spreadsheets. Results: Results showed high adherence for the County with a median of 80% (IQR 66.66-93.33%). Four of the sub-counties with normally distributed scored had a mean score of 79% and while the other four had a median score of 80% (66.66 – 93.33). Guidelines which had low implementation fidelity scores were those involving follow up tests i.e., sputum, gene X-pert and X-ray during duration of treatment. In the qualitative aspect good facilitation strategies were found to be in place from both the County and national TB programs. An attitude of fear, lack of knowledge on infection prevention, lack of skills to produce specimens for TB testing and staff shortages affected quality of treatment delivery. The health care workers reported ease in following the guidelines especially with the roll out of new guidelines which simplified diagnosis of TB in children, drugs which are dispersible and in fixed dose combination. Participant’s response to the intervention was poor with both health care workers and patients expressing difficulties with direct observed therapy schedule which required frequent visits and frequent follow up tests. Conclusion and recommendations: In conclusion, implementation fidelity to guidelines on management of tuberculosis is high. Good facilitation strategies is a positive moderator towards achieving high implementation fidelity. The national TB program in Kenya is doing well so far in monitoring the process of guideline implementation once rolled out, however, to be able to achieve the sustainable development goal eradicating TB, further follow up is needed in the facilities to improve the levels of adherence from 80% to 100%. Use of the conceptual framework by Carroll has proved to be a good guide in evaluating healthcare worker’s performance in implementing treatment guidelines It is recommended that health workers should undergo more sensitization on why certain guidelines have been put in place e.g., repeating sputum samples at different phases of treatment in order to improve quality of care. More training on vital procedures e.g., gastric aspirate should also be done to improve health workers' confidence and ease diagnosis of TB at younger age. Further research on implementation fidelity on other evidence based interventions would go a long way to improve service delivery and ensure other program goals are met.
Evaluation of osayidelera, a campaign addressing risk perceptions of COVID-19 in Blantyre, Malawi
(2024) Maganga, Chiyembekezo Focus
Background- Osayidelera COVID-19 was a national campaign that was implemented as part of Malawi’s Risk Communication and Community Engagement response for the pandemic. The campaign was designed to address low COVID-19 risk perceptions and enhance compliance to preventive behaviours. Despite massive resources that were channeled towards the campaign, there were no studies that had evaluated the effectiveness of Osayidelera in addressing low risk perception in Malawi, and that had measured the association between the risk perceptions and preventive behaviours in Malawi. This study set out to change that, by testing associations between exposure to the campaign and both risk perceptions and protective behaviours in the context of Blantyre, one of areas hardest hit by COVID-19 in Malawi. Methods- A cross-sectional survey was conducted in Blantyre from 6 to 20 May, 2022. A sample of 224 adults (18 and older) were drawn from rural, peri-urban and urban locations in Blantyre using a multi-stage sampling technique. Data were cleaned in Microsoft Excel and analysed in STATA. Descriptive statistics were used to characterise the study sample, campaign exposure, risk perceptions and behaviours. Logistic regression models were used to test associations between campaign exposure and risk perceptions, and risk perceptions and protective behaviours. Results- Overall, 63% of the sample reported low COVID-19 risk perceptions. The only sociodemographic variables associated with low risk perception in the multivariate logistic vi model were those who were divorced (aOR=0.20, p=0.046 CI=0.04-0.97) and widowed (aOR=0.10, p=0.009 CI=0.02-0.57); they had significantly lower odds of low risk perceptions than those who were single. Exposure to COVID-19 campaign was generally low, with only 27% of the respondents reporting high levels of exposure. The proportion of respondents who could recall exposure to the name “Osayidelera” was even lower, at 16%. In the multivariate logistic model, males had higher odds of high exposure to the campaign as compared to females (aOR=3.75, p=0.001 CI=1.66-7.69) with those odds even higher among respondents in periurban areas versus rural areas (aOR=6.15, p=0.043 CI=1.06-35.71). High COVID-19 knowledge was also significantly associated with exposure to the COVID-19 campaign (aOR=2.48, p=0.013 CI=1.21 - 5.06). The results showed no significant association between campaign exposure and risk perceptions (p>0.05). In the adjusted multivariate logistic regression model, only those living in Blantyre urban had significantly higher odds of low risk perceptions as compared to those living in Blantyre rural (aOR=4.83, p=<0.001, CI= 2.15- 10.85) All other factors were non-significant. Finally, we found that adherence to preventive behaviours was generally poor, with only 29% reporting high levels of adherence, regardless of their COVID-19 risk perceptions. Risk perceptions were not associated with preventive behaviours. Conclusion- This study established that there was low reach of the campaign in Blantyre, and that the relationship between risk perceptions and adoption of preventive behaviours was not as strong and positive as hypothesized by the campaign. Campaign designers may need to revisit assumptions about their theory of change. The study contributes to growth of scholarship on health promotion campaigns and risk communication by showing factors associated with the reach of the campaign and with risk perceptions
Examining the bidirectional relationship between comorbid depression and Type 2 diabetes: a managed healthcare perspective
(2024) Naidoo, Lovina Asha Corrien
Introduction-Type 2 diabetes mellitus (T2DM) is common and has devastating outcomes for patients diagnosed with this disease. In Africa, the prevalence of T2DM is reaching epidemic proportions, especially in developing countries like Ghana, Nigeria and South Africa (SA). The financial burden of T2DM is seen in the public and private healthcare sectors in Africa. Major depressive disorder (MDD) frequently co-occurs as a discordant comorbidity with T2DM. MDD is an important component in the holistic management of T2DM care as the outcomes of both conditions are exacerbated by the presence of the other. T2DM patients are at high risk for cardiovascular (CV) morbidity and mortality. The comorbidity of MDD among these individuals is associated with poor diabetes-related cardiovascular disease (CVD) outcomes such as myocardial infarction, stroke and cardiac failure, because MDD is a highly prevalent risk factor for CVD and T2DM alike. Little is known of the prevalence of MDD as a comorbidity of T2DM in SA or if MDD is a risk factor for the onset of T2DM. It is also unclear whether the treatment of depressive disorders in T2DM would improve glycaemic control. While the association between depression and T2DM in America and Europe is established, understanding the relationship between these two non-communicable diseases (NCDs) is lacking in SA. The relationship between T2DM and associated co-morbidities, particularly MDD, is poorly acknowledged in chronic disease management practices in SA. The management of co-morbid conditions may influence managed healthcare costs and hospitalisation rates. Aim and objectives -This thesis investigated the bidirectional relationship between T2DM and comorbid MDD within a South African privately managed healthcare organisation. The objectives of the study were to estimate the comorbidity incidence, resource utilisation (medicine, services and hospital), assess the cost between two T2DM management funding models, the influence of MDD on glycaemia, blood pressure and lipid control (ABC guidelines) and finally identify the depressive symptom and CV risk profiles of patients with T2DM with or without MDD and those with MDD alone. Method -The thesis comprised four quantitative studies that analysed claims data from a privately funded healthcare insurer and electronic health records (EHR) from 2012 to 2019, and a cross-sectional survey from 2016 to 2019. The methodology in the first study was a retrospective descriptive analysis of 902 adult patients with T2DM in 2014. Patients were identified with T2DM and their comorbidities and categorised as those with concordant comorbidities (CC), and those with discordant comorbidities (DC). Hospital admissions of patients with T2DM, with MDD (T2DM+MDD) versus those without MDD (T2DM-MDD), were further analysed. The second study analysed the claims data of patients with T2DM and T2DM+MDD from 2012 to 2016. Annual healthcare costs were assessed between two funding models and categorised as in-hospital and out-of-hospital medicines and out-of-hospital services. Diabetes-related and other medicine-plus-services and hospitalisation costs between T2DM and T2DM+MDD were estimated In the third study, the cardiometabolic indices control of 1211 patients with T2DM+MDD, T2DMMDD and MDD only were measured using their EHR for the year 2019. Claims for lipid-lowering therapy, hypoglycaemic agents, antihypertensives and antidepressant selective-serotoninreuptake inhibitors (SSRI) were assessed between the study groups. Frequencies of patients achieving target glycated haemoglobin (HbA1c), systolic blood pressure (SBP) and low-densitylipoprotein (LDL-C) were compared between groups. A stepwise multivariate logistic regression analysis was performed to identify predictors of HbA1c and LDL-C control of the study groups. The fourth study conducted a cross-sectional survey of a random sample of members with T2DM+MDD, T2DM-MDD, MDD only, and a healthy control group between the years 2016 to 2019. The survey comprised a Patient Health Questionnaire-9 (PHQ-9) to assess possible depressive symptoms, and anthropometric measures (body mass index (BMI), family history of diabetes and/or heart disease, and smoking status as CV risk profiles). Findings- The first study revealed a high incidence of CV concordant comorbidities (hypertension )and hyperlipidaemia) in patients with T2DM+MDD, with MDD being the most prevalent discordant comorbidity of T2DM (17%). A higher percentage of patients with T2DM+MDD were admitted to 3 hospital (42%, p=0.004) compared with those with T2DM-MDD (30%). The number of overnight admissions was higher among the T2DM+MDD (76%, p=0.016) compared with T2DM-MDD (66%). The second study focused on health care costs and the funding models associated with managed care. The direct medical costs of patients with T2DM and T2DM+MDD registered with a medical scheme over a 5-year period between two funding models were estimated and compared: a capitation risk-sharing model (CM) versus a traditional fee-for-service (FFS) model. Of the identified T2DM patients, 64% were enrolled in CM in 2012 and this rose to 81% by 2016. The implementation of CM resulted in a significantly higher cost to the scheme ($1,095) compared to FFS ($296) in 2016 (p<0.0001). Forty-six T2DM patients in this study incurred hospitalisation costs of ≥ $24,243 for T2DM-related or other hospital admissions (non T2DM-related). The healthcare expenditure consumed by patients with T2DM and T2DM+MDD on a capitation model of care for diabetes was high compared to patients on FFS. While the diabetes-related treatment and management were similar between patients with T2DM+MDD and T2DM-MDD, other medicine and services, expenditure was significantly higher in the T2DM+MDD group, for example T2DM+MDD patients had a median expenditure of $1,414 in 2016 compared to a median of $614 in T2DM-MDD patients (p<0.0001). The third study assessed the HbA1c, SBP and LDL-C control target attainment (as per South African ABC guidelines) in patients with T2DM+MDD and T2DM-MDD and those with MDD alone. Only 13% of the patients in T2DM+MDD group and 7.1% in the T2DM-MDD group achieved ABC (HbA1c<7%, LDL-C<1.8mmol/l and SBP<140/90 mmHg) targets, despite hypoglycaemic, lipidlowering therapy and antihypertensive claims, indicating a possible risk for CVD in T2DM+MDD and T2DM-MDD patients. A higher proportion of patients with T2DM+MDD (56%) achieved an HbA1c target of <7% compared to the T2DM-MDD group (45%, p<0.05). Multiple regression analysis showed that HbA1c control was independently associated (p<0.001) with older age, claims for statins and having a history of MDD, after adjusting for claims for antihypertensive therapy, metformin, newer hypoglycaemic agents, sex, and interaction factor of newer hypoglycaemic agents and metformin. Only 24% of patients in both the T2DM+MDD and T2DMMDD groups reached the LDL-C target <1.8mmol/l. The predictors of LDL-C control between the T2DM+MDD and T2DM-MDD groups were older age (p<0.0001) and claiming statin therapy (p=0.001), after adjusting for antihypertensive therapy and metformin claims and sex The fourth study identified the depressive symptoms and CV risk factors (such as obesity, smoker status and family history of diabetes and heart disease) in individuals with T2DM+MDD, T2DMMDD or MDD alone compared to a healthy control. The PHQ-9 scores revealed that patients in all four groups were within a range of mild to moderate-severe depressive symptoms. The T2DM+MDD group had moderate-severe (PHQ-9≥10) depressive symptoms (58.8%) similar to the MDD group (54.2%, p=1.0) suggesting a poor response to antidepressants. Patients with T2DM-MDD had underlying unrecognized depressive symptoms: 20.5% had moderate-severe (PHQ-9≥10) depressive symptoms and 23.1% had mild (PHQ-9=5-9) depressive symptoms. Of concern was that 25% of the control (healthy) group recorded having moderate-severe (PHQ9≥10) depressive symptoms and 21.4% of having mild depressive (PHQ-9=5-9) symptoms. The majority of the T2DM+MDD group obese (76.5%) whereas 46.2% of the T2DM-MDD group were overweight. However, the control group, with no stated disease, were overweight (37.5%) or obese (30.4%). This study highlights the undetected MDD and high CV risk prevalent in this setting. Conclusion- Within this South African private managed healthcare setting, comorbidities associated in patients with T2DM, i.e. MDD and CVD, are managed discretely. High-risk individuals with T2DM increase costs and resource utilisation within the private managed healthcare setting. In summary, the relevance of the research was to increase awareness of the consequences of comorbidity of T2DM and MDD and encourage routine screening for depression in T2DM patients, and glycaemic screening among patients with MDD. Managed care programmes should consider a patient-centric approach to assist patients in engaging with their T2DM and comorbidities more effectively by listening to their difficulties in terms of medication compliance, offering regular glycaemic and lipid blood tests and encouraging healthier diet through visits to dieticians or nurse educators. Targeting primary healthcare as an intervention has the potential to reduce the hospitalisation burden by initially stabilizing patients with T2DM+MDD, providing cost-effective and appropriate medicine management (i.e. statins), improving attainment of ABC control targets and early screening for depression and non-invasive CV risk factors. Resource allocation for a coordinated care team that includes health professionals such as dieticians, endocrinologists, drug review utilisation (DUR) pharmacists, psychologists and nurse educators to treat patients with T2DM+MDD is indicated.
Exploring healthcare user perspectives on utilisation of prevention of mother to child transmission (PMTCT) services in a high-mobility context in Johannesburg, South Africa
(2024) Bisnauth, Melanie Ann
Included in this thesis are four original papers. The first of four papers explored the impact of the Option B+ Prevention of Mother to Child Transmission (PMTCT) of human immunodeficiency virus (HIV) programme on the work of healthcare professionals and, investigated pregnant women living with HIV (WLWH) experiences with antiretroviral therapy (ART) for life, to gain insights in ways to better manage the programme. The first paper (Chapter 6) explored the views of both healthcare providers and user experiences with ART for life at the time the SA’s National Department of Health (NDoH) adopted World Health Organisation (WHO) 2013 guidelines on ARVs for HIV treatment and prevention in 2015. This included changes to PMTCT through Option B+ (now known as lifelong treatment). In 2015, little was known about the impact of these guidelines on the work of healthcare workers (HCWs) and no research at the time had focused on how these changes have affected adherence for the patients. Semistructured interviews were conducted with participants and revealed that work had become difficult to manage for all HCWs because of the need to strengthen indicators for tracking patients to decrease the PMTCT loss to follow-up (LTFU); there was inconsistency in delivery of counselling and support services and a need for communication across clinical departments of the hospital that both offered PMTCT services and had to provide care to the mothers and; a lack of compassion and understanding was existent amongst service providers. The overburdened healthcare environment had affected the overall views and experiences of pregnant WLWH going on ART for life. All patient participants (n=55) responded that they chose the fixed dose combination (FDC) pill for life to protect the health of the baby and felt ART for life could be stopped after giving birth, unaware of the long-term benefits for the mother. Although SA national women were interviewed at the time, RMMCH had provided PMTCT care to many migrants and their experiences needed to be heard. Further research was needed on how to strengthen the programme for long term scalability and sustainability for highly mobile WLWH to better adapt PMTCT programming within the healthcare system. Observations of the population of women accessing PMTCT at RMMCH indicated that many migrant WLWH were utilising the services and called for further investigation and lead into the next two phases of the research study. In addition, Paper 2 (Chapter 7) and Paper 3 (Chapter 8) data collection occurred during the COVID19 pandemic. Paper 2 (Chapter 7) investigated HCWs and their experiences in the provision of PMTCT services to WLWH, specifically migrants that were utilising services during the SARS-CoV-2 (COVID-19) pandemic in SA, to provide further insights on the programme. The COVID-19 pandemic resulted in SA taking preventative and precautionary measures to control the spread of infection, this inevitably proposed challenges to WLWH, especially migrant women by limiting population mobility with border closures and lockdown restrictions. Semi-structured interviews (n=12) conducted with healthcare iii providers across city, provincial, and national levels explored how COVID-19 impacted the healthcare system and affected highly mobile patients’ adherence and utilisation of PMTCT services. Findings revealed; a need for multi-month dispensing (MMD); fear of contracting COVID-19 leading to the disruption in the continuum of care; added stress to the already existent overburdened clinical environment; mistreatment and xenophobic attitudes towards the migrant HIV population and; three key areas for strengthening PMTCT programme sustainability for migrants. Paper 3 (Chapter 8) investigated the insights of migrant WLWH. Migrant typologies were not predetermined a priori. This research allowed for the different mobility typologies of migrant women utilising PMTCT services in a high mobility context of Johannesburg to first surface from the data. By analysing these experiences, it explored further into how belonging to a specific typology may have affected the health care received and their overall experience during the COVID-19 pandemic. Interviews with cross-border migrants (n=22) (individuals who move from one country to another) and internal migrants (n=18) (individuals who transcend borders within a country) revealed that women in cross-border migration patterns compared to interprovincial/intraregional mobility; expressed more fear to utilise services due to xenophobic attitudes from HCWs; were unable to receive ART interrupting adherence due to border closures and; relied on short message service (SMS) reminders to adhere to ART during the pandemic. All 40 women struggled to understand the importance of adherence due to the lack of infrastructure to properly educate them following social distancing protocols. COVID-19 amplified existing challenges for cross-border migrant women to utilise PMTCT services. Future pandemic preparedness should be addressed with differentiated service delivery (DSD) including MMD of ARVs, virtual educational care, and language sensitive information, responsive to the needs of mobile women and to assist in alleviating the burden on the healthcare system. The pandemics’ impact on the study timeline, key lessons learnt and, take away messages when conducting research during this unpredictable time are provided in Chapter 4 (Methods) and Chapter 9 (Discussion). It is important to include these reflections because of the impact it had on all participants and the entire PhD process. Paper 4 will be a future policy piece, drawn from Chapter 9, addressing the need for responsiveness from the SA government and NDoH. Chapter 9 brought together collectively the previous papers 1,2, and 3 and drew overall conclusions, recommendations, and a way forward for both policy and programme implementation. This chapter provided the principal findings of the overall thesis and in relation to other studies in the field, as well as implication for policy practice and research. Chapter 9 concludes with the recommendations for future research on WLWH, mobility typologies, service provision of PMTCT and future pandemic preparedness, and the vision for the South African PMTCT programme.
Exploring inter-professional collaboration between community health workers and health care providers in two clinics in the City of Johannesburg district
(University of the Witwatersrand, Johannesburg, 2024) Bokaba, Dorah Dorothea; Nxumalo, Nonhlanhla
Background: Large-scale community health worker (CHW) programmes gained renewed interest over time. This was more pronounced during the emergence of the Coronavirus disease 2019 (COVID-19) pandemic, with CHWs exemplifying the role of task-shifting to alleviate already fragile and resource-scarce health systems. Many low- to middle-income countries (LMICs), including South Africa, implemented CHW programmes to complement health workforce. Thus, health care providers (HCPs) including professional nurses, health promoters, allied health workers, operational manager clinic, social workers, and CHWs are expected to collaborate with CHWs to provide health care service. Aim: The aim of the study was to explore inter-professional collaborations (IPC) between CHWs and HCPs in two primary health care (PHC) facilities in the City of Johannesburg, Gauteng Province. Methodology: This study used an exploratory qualitative design. In-depth semi-structured interviews were conducted with purposively sampled CHWs (n=12) and HCPs (n=10) in two PHC facilities from two sub-districts. All interviews were transcribed verbatim. Thematic content analysis was used to analyse the data. Results: Team structures were reported to be centred around the CHWs and Outreach team leader (OTLs), however other HCPs like nurses, health promoters, and social workers also played a role. Reporting procedures were hierarchical, with CHWs reporting to OTLs, who reported to operational managers (OPMs). CHWs were at the bottom of the hierarchy with the reporting structures being described as challenging as they were related to power dynamics. Communication was poor and with unplanned meetings. Participants suggested the need for improved support and communication to strengthen IPCs. Conclusion: IPC between the HCPs and CHW is critical in ensuring patient care continuity. Some dimensions of IPC, such as shared responsibility and mutual understanding of roles by team members, were evident. The communication processes showed some weaknesses, including the consequences in power relations. In order to enhance the contribution of CHWs in PHC and universal health coverage (UHC), it is necessary to explore ways to strengthen IPC between HCPs and CHWs
Exposure and risk assessment of benzene, toluene, ethyl benzene and xylene (btex) in a petrochemical depot at Heidelberg, South Africa
(2022) Mdlalose, Richard John
Background: The International Labour Organization estimated 2.2 million workers are dying yearly from work-related accidents and occupational diseases, whilst about 270 million suffer serious injuries, and 160 million become ill due to their work. It is further estimated that work-related accidents and diseases cause 4% of annual Global Gross Domestic Product or US $1.25 trillion due to lost working time, workers’ compensation, the interruption of production, and medical expenses. In 2005, the ILO estimated that 440 000 people died throughout the world because of exposure to hazardous chemicals. In 2018 chemicals production was the second largest production sector in the world. Chemicals are indispensable and critical part of life. Their visible positive outcomes are quite palpable. They are well recognized for instance pesticides improve the quality of food production, pharmaceuticals cure illness, cleaning products help to establish hygienic living conditions. Chemicals are key development of final products that make life little easy for human beings, etc. Controlling employees ‘exposure to chemicals and preventing or minimizing emissions remains a significant challenge in workplaces throughout the world. The production, storage, and handling of petrochemical products particularly BTEX emissions are known and associated with potential harm to human and aquatic organisms. Some of the health effects associated with exposure to BTEX are the health effects on hematopoietic system, including pancytopenia. The benzene exposure leads to an acute myelogenous leukemia. The exposure to toluene, ethylbenzene, and xylene have been linked to the damaging the central nervous system and irritation of the respiratory system. Benzene and ethylbenzene are confirmed carcinogens (Benzene is classified as a Group 1 and ethylbenzene is a Group 2 B carcinogens). Purpose: To characterize, assess exposure and health risk assessment to benzene, toluene, ethylbenzene, and xylene (BTEX) at the petrochemical depot at Heidelberg in Gauteng, South Africa. Methods: Exposure sampling was done using a MiniRAE 3000 Photoionization detector (PID). The PID (equipment) was calibrated before the commencement of the monitoring program following the manufacturer’s operating manual. The PID equipment was used to collect the BTEX samples. The PID was mounted on a marked tripod stand at 1.5 m above ground and approximately 0.2 m to 0.5 m in the microenvironment (Exposure scenario) of the depot workers (Controllers and/or laboratory assistant) with the probe extended or placed within 30cm of the breathing zone of the depot workers. Sampling was conducted at three different exposure scenarios (workstations) i.e., density huts, laboratory, and during plant equipment cleaning in the plant (strainer removal) over three days period. The sampling started from 08h00 to 17h00. One workstation was sampled per day. The sampling of BTEX per workstation took 30 minutes per hour over ten hours, every hour BTEX was sampled for a duration of 30 minutes and in totality ten samples were collected per 12- hour shift, a total of 30 BTEX samples were collected over the 3 days period. Additionally, the measured BTEX concentrations were used to obtain dose estimates. Data from the equipment was exported to a Microsoft Excel spreadsheet. All outliners were removed from the data and a correction factor was applied to derive the final concentration. Thereafter, statistical tests using student F-test and Test were performed to evaluate for significant differences amongst paired comparisons. Results : The highest average BTEX concentrations were measured in the laboratory, followed by density huts and the least was measured during the removal of the strainer (plant equipment cleaning). The activity areas (exposure scenarios) served as direct sources for the BTEX vapours. The average benzene concentrations measured in three activity areas ranged from 469 ppm to 542 ppm. The highest benzene concentration was found to be 542 times higher than the current South African Occupational Exposure Limits of 1ppm. The average toluene concentrations measured ranged from 1335 pm to 1542 pm; the highest toluene concentration was found to be more than 30 times above the South African Occupational Exposure Limits of 50 ppm. The average ethylbenzene concentrations measured ranged from 433 ppm to 500 ppm; the highest concentration was found to be 5 times above the South African Occupational Exposure Limits of 100 ppm. The average xylene concentrations measured ranged from 1372 ppm to 1584 ppm, the highest concentration was found to be more than 15 times above the South African Occupational Exposure Limits of 100 ppm. All the measured BTEX compounds were found to be above their respective South African Occupational Exposure Limits. The cancer risk was determined to be 13 x 10-2 (male) and 10 x 10-2 (female), 14 x 10-2 (male) and 11x 10-2 (female), 16 x 10-2 (male) and 13 x 10-2 (female), 12 x 10-3 (male) and 10 x 10-3 (female) for the workers in the density huts, laboratory, strain remover (plant equipment cleaning), respectively. In all exposure scenarios (male and female) the cancer risk was found to be higher than the acceptable risk levels of 1E-4 . There were 13 males and 10 females in the population of 100 controllers who were likely to develop cancer when working density huts environment. In the laboratory work environment, 14 males and 11 females in a population of 100 controllers were likely to develop cancer, whereas 16 males and 13 female laboratory workers were likely to develop cancer in a population of 100 laboratory workers, and during plant equipment cleaning 12 males and 10 female controllers were likely to develop cancer in a population of 1000. Therefore, the potential of developing cancer was heightened by working in the laboratory and density huts. The risk of the number of employees who were likely to develop cancer was reduced when doing plant equipment cleaning. In all three activity areas, cancer risk for males was higher than for their female counterparts. This finding denotes that male were more vulnerable than females even though the exposure concentration is the same. The higher number of males who were likely to develop cancer in all the activity areas were influenced by two factors i.e., males have a shorter average life expectancy and higher average body weight versus their females’ counterparts. A hazard quotient was used to determine the non-carcinogenic health effects, a hazard quotient of greater than 1 was used as a reference value. A value greater than 1 denoted a higher possibility that depot workers will get health effects from exposure to the Toluene, ethylbenzene, and xylene (TEX). The hazard quotient for males ranged from 4.6 to 577.5, the highest hazard quotient was more than 577 times above the HQ reference value. The lowest was at density huts for xylene and the highest was at the laboratory for a chemist for xylene. The hazard quotient for females ranged from 3.15 to 399.00, the highest hazard quotient was more than 399 times above the HQ reference value. The lowest was at density for xylene and the highest was at the laboratory for laboratory assistant. From the results, both males and females had a hazard quotient far above 1 which means health effects arising from TEX exposure were anticipated. Conclusion: The results showed highest constant BTEX concentrations in the three exposure scenarios over the 12 hours shift. The BTEX emissions were generated by activities that were performed by the depot workers. Highest BTEX concentrations were measured at laboratory, followed by density huts and the least was measured during the removal of the strainer (plant equipment cleaning). The lack of effective vapour recovery system and natural ventilation in the laboratory and in density huts also contributed to the high BTEX concentrations measured in these areas. Individual BTEX component results measured in the three activity areas indicated concentrations that were far above the South African Occupational Exposure Limits for individual BTEX. The cancer risk score was found to be far above the reference USEPA cancer risk value and denoting that depot workers were likely to develop cancer. The hazard quotient for the three exposure scenarios was also found to be greater than the reference value of 1 which indicates the potential to develop non-carcinogenic health effects due to exposure in three exposure scenarios. Recommendations: The following recommendations are made to assist management of the depot to control employees’ exposure to BTEX emissions per activity area: Density huts: The practicality of introducing a vapour recovery system on workbenches to extract the VOCs generated during sample collection and from density measuring jugs should be investigated or alternatively, the introduction of an online fuels and density analysis should be investigated or the practicality of introducing sample bombs to collect fuel samples should be investigated. Keep the windows opened to promote an ingress of fresh air and allow BTEX emissions to escape. A practicality of introducing a controlled mechanical ventilation to blow vapours away from the breathing zone of the depot workers should be investigated. Laboratory: The practicality of automating or modifying the GC equipment in the laboratory to be able to conduct an online petrochemical analysis to control employees’ exposure should be investigated. The tasks that require rinsing of testing tubes with fuels, refilling of the testing tubes, and discarding of superfluous samples should be performed under controlled conditions, the practicality of introducing a vapour recovering system to control vapours emissions should be investigated. The current practice of keeping the decanting drum open should be discontinued to prevent the accumulation of vapours in the laboratory or alternatively, it should be kept under a vapour recovery system. The practicality of keeping the retained fuel samples under the vapour recovery system in the laboratory storage should also be investigated. The fume hood and two extraction units should be serviced on a regular basis. Cleaning of plant equipment (strainer removal): The practicality of automating the removal and lifting the strainer to be cleaned to increase the distance between the strainer and receptors (controllers) should be investigated. The practicality of putting the clogged-up strainer in degreaser bath to remove and clean the strainer with the view of automating the task to prevent employees ‘exposure to VOC emissions. Recommendations applicable to all activity areas: Employees exposed to BTEX including the other petrochemicals should undergo a risk-based medical surveillance program including biological monitoring to evaluate the efficacy of the existing controls and as part of a preventative medical surveillance program. Provide information, instruction, and training at regular interval about: - petrochemicals (BTEX) that employees are potentially exposed to at workplace and duties of persons who are likely to be exposed to VOCs vapour. The names and potential harmfulness of the BTEX at the workplace and the employees who are likely to be exposed. Significant findings of the BTEX exposure assessment (an occupational health risk assessment survey). Information on how to access the relevant safety data sheets and information that each part of an SDS provides. The work practices and procedures that must be followed for the use, handling, storage, transportation, spillage, and disposal of samples, in emergency situations, as well as for good housekeeping and personal hygiene. The necessity of personal exposure air sampling, biological monitoring, and medical surveillance; The need for engineering controls and how to use and maintain them. The need for personal protective equipment, including respiratory protective equipment, and its use and maintenance. The precautions that must be taken by an employee to protect themselves against health risks associated with exposure, including wearing and using protective clothing and respiratory protective equipment. The necessity, correct use equipment, maintenance and potential of safety facilities and engineering control measures provided. Supervisor/Line Manager must give written instructions of the procedures to be followed in the event of spillages, leakages, or any similar emergency situations to employees. Once the aforementioned information, instruction and training have been provided, enforce the wearing of the prescribed PPE including ABEK respirator and no employee should be allowed to enter and remain in respiratory zone without the prescribed PPE and respiratory protection equipment (ABEK respirator).

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