Browsing by Author "Justine I Davies"
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Item Data Resource Profile: The Global Health and Population Project on Access to Care for Cardiometabolic Diseases (HPACC)(2022-12-13) Jennifer Manne-Goehler; Michaela Theilmann; David Flood; Maja E Marcus; Glennis Andall-Brereton; Kokou Agoudavi; William Andres Lopez Arboleda; Krishna K Aryal; Brice Bicaba; Pascal Bovet; Luisa Campos Caldeira Brant; Garry Brian; Grace Chamberlin; Geoffrey Chen; Albertino Damasceno; Maria Dorobantu; Matthew Dunn; Cara Ebert; Farshad Farzadfar; Mongal Singh Gurung; David Guwatudde; Corine Houehanou; Dismand Houinato; Nahla Hwalla; Jutta M Adelin Jorgensen; Khem B Karki; Demetre Labadarios; Nuno Lunet; Deborah Carvalho Malta; Joao S Martins; Mary T Mayige; Roy Wong McClure; Sahar Saeedi Moghaddam; Kibachio J Mwangi; Omar Mwalim; Bolormaa Norov; Sarah Quesnel-Crooks; Sabrina Rhode; Jacqueline A Seiglie; Abla Sibai; Bahendeka K Silver; Lela Sturua; Andrew Stokes; Adil Supiyev; Lindiwe Tsabedze; Zhaxybay Zhumadilov; Lindsay M Jaacks; Rifat Atun; Justine I DaviesItem Equitable access to quality trauma systems in low-income and middleincome countries: assessing gaps and developing priorities in Ghana, Rwanda and South Africa(2021) The Equi-Trauma Collaborative; Maria Lisa Odland; Abdul-Malik Abdul-Latif; Agnieszka Ignatowicz; Barnabas Alayande; Bernard Appia Ofori; Evangelos Balanikas; Abebe Bekele; Antonio Belli; Kathryn Chu; Karen Ferreira; Anthony Howard; Pascal Nzasabimana; Eyitayo O Owolabi; Samukelisiwe Nyamathe; Sheba Mary Pognaa Kunfah; Stephen Tabiri; Mustapha Yakubu; John Whitaker; Jean Claude Byiringiro; Justine I DaviesInjuries in low-income and middle-income countries are prevalent and their number is expected to increase. Death and disability after injury can be reduced if people reach healthcare facilities in a timely manner. Knowledge of barriers to access to quality injury care is necessary to intervene to improve outcomes. We combined a four-delay framework with WHO Building Blocks and Institution of Medicine Quality Outcomes Frameworks to describe barriers to trauma care in three countries in sub-Saharan Africa: Ghana, South Africa and Rwanda. We used a parallel convergent mixed-methods research design, integrating the results to enable a holistic analysis of the barriers to access to quality injury care. Data were collected using surveys of patient experiences of injury care, interviews and focus group discussions with patients and community leaders, and a survey of policy-makers and healthcare leaders on the governance context for injury care. We identified 121 barriers across all three countries. Of these, 31 (25.6%) were shared across countries. More than half (18/31, 58%) were predominantly related to delay 3 (‘Delays to receiving quality care’). The majority of the barriers were captured using just one of the multiple methods, emphasising the need to use multiple methods to identify all barriers. Given there are many barriers to access to quality care for people who have been injured in Rwanda, Ghana and South Africa, but few of these are shared across countries, solutions to overcome these barriers may also be contextually dependent. This suggests the need for rigorous assessments of contexts using multiple data collection methods before developing interventions to improve access to quality care.Item Multimorbidity and associations with clinical outcomes in a middle-aged population in Iran: a longitudinal cohort study(2022-04-19) Maria Lisa Odland; Samiha Ismail; Sadaf G Sepanlou; Hossein Poustchi; Alireza Sadjadi; Akram Pourshams; Tom Marshall; Miles D Witham; Reza Malekzadeh; Justine I DaviesBackground As the populations of lower-income and middle-income countries age, multimorbidity is increasing, but there is little information on its longterm consequences. We aimed to show associations between multimorbidity and outcomes of mortality and hospitalisation in Iran, a middle-income country undergoing rapid economic transition. Methods We conducted a secondary analysis of longitudinal data collected in the Golestan Cohort Study. Data on demographics, morbidities and lifestyle factors were collected at baseline, and information on hospitalisations or deaths was captured annually. Logistic regression was used to analyse the association between baseline multimorbidity and 10-year mortality, Cox-proportional hazard models to measure lifetime risk of mortality and zero-inflation models to investigate the association between hospitalisation and multimorbidity. Multimorbidity was classified as ≥2 conditions or number of conditions. Demographic, lifestyle and socioeconomic variables were included as covariables. Results The study recruited 50 045 participants aged 40–75 years between 2004 and 2008, 47 883 were available for analysis, 416 (57.3%) were female and 12 736 (27.94%) were multimorbid. The odds of dying at 10 years for multimorbidity defined as ≥2 conditions was 1.99 (95% CI 1.86 to 2.12, p<0.001), and it increased with increasing number of conditions (OR of 3.57; 95% CI 3.12 to 4.08, p<0.001 for ≥4 conditions). The survival analysis showed the hazard of death for those with ≥4 conditions was 3.06 (95% CI 2.74 to 3.43, p<0.001). The number of hospital admissions increased with number of conditions (OR of not being hospitalised of 0.36; 95% CI 0.31 to 0.52, p<0.001, for ≥4 conditions). Conclusion The long-terms effects of multimorbidity on mortality and hospitalisation are similar in this population to those seen in high-income countries.Item Patterns of tobacco use in low and middle income countries by tobacco product and sociodemographic characteristics: nationally representative survey data from 82 countries(2022-07-01) Michaela Theilmann; Julia M Lemp; Volker Winkler; Jennifer Manne-Goehler; Maja E Marcus; Charlotte Probst; William A Lopez-Arboleda; Cara Ebert; Christian Bommer; Maya Mathur; Glennis Andall-Brereton; Silver K Bahendeka; Pascal Bovet; Farshad Farzadfar; Erfan Ghasemi; Mary T Mayige; Sahar Saeedi Moghaddam; Kibachio J Mwangi; Shohreh Naderimagham; Lela Sturua; Rifat Atun; Justine I Davies; Till Bärnighausen; Sebastian Vollmer; Pascal GeldsetzerObjectives To determine the prevalence and frequency of using any tobacco product and each of a detailed set of tobacco products, how tobacco use and frequency of use vary across countries, world regions, and World Bank country income groups, and the socioeconomic and demographic gradients of tobacco use and use frequency within countries. Design Secondary analysis of nationally representative, crosssectional, household survey data from 82 low and middle income countries collected between 1 January 2015 and 31 December 2020. Setting Population based survey data. Participants 1231068 individuals aged 15 years and older. Main outcome measures Self-reported current smoking, current daily smoking, current smokeless tobacco use, current daily smokeless tobacco use, pack years, and current use and use frequencies of each tobacco product. Products were any type of cigarette, manufactured cigarette, hand rolled cigarette, water pipe, cigar, oral snuff, nasal snuff, chewing tobacco, and betel nut (with and without tobacco). Results The smoking prevalence in the study sample was 16.5% (95% confidence interval 16.1% to 16.9%) and ranged from 1.1% (0.9% to 1.3%) in Ghana to 50.6% (45.2% to 56.1%) in Kiribati. The user prevalence of smokeless tobacco was 7.7% (7.5% to 8.0%) and prevalence was highest in Papua New Guinea (daily user prevalence of 65.4% (63.3% to 67.5%)). Although variation was wide between countries and by tobacco product, for many low and middle income countries, the highest prevalence and cigarette smoking frequency was reported in men, those with lower education, less household wealth, living in rural areas, and higher age. Co nclusions Both smoked and smokeless tobacco use and frequency of use vary widely across tobacco products in low and middle income countries. This study can inform the design and targeting of efforts to reduce tobacco use in low and middle income countries and serve as a benchmark for monitoring progress towards national and international goals.Item Use of statins for the prevention of cardiovascular disease in 41 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data(2022-03) Maja E Marcus; Jennifer Manne-Goehler; Michaela Theilmann; Farshad Farzadfar; Sahar Saeedi Moghaddam; Mohammad Keykhaei; Amirali Hajebi; Scott Tschida; Julia M Lemp; Krishna K Aryal; Matthew Dunn; Corine Houehanou; Silver Bahendeka; Peter Rohloff; Rifat Atun; Till W Bärnighausen; Pascal Geldsetzer; Manuel Ramirez-Zea; Vineet Chopra; Michele Heisler; Justine I Davies; Mark D Huffman; Sebastian Vollmer; David FloodBackground: In the prevention of cardiovascular disease, a WHO target is that at least 50% of eligible people use statins. Robust evidence is needed to monitor progress towards this target in low-income and middle-income countries (LMICs), where most cardiovascular disease deaths occur. The objectives of this study were to benchmark statin use in LMICs and to investigate country-level and individual-level characteristics associated with statin use. Methods: We did a cross-sectional analysis of pooled, individual-level data from nationally representative health surveys done in 41 LMICs between 2013 and 2019. Our sample consisted of non-pregnant adults aged 40-69 years. We prioritised WHO Stepwise Approach to Surveillance (STEPS) surveys because these are WHO's recommended method for population monitoring of non-communicable disease targets. For countries in which no STEPS survey was available, a systematic search was done to identify other surveys. We included surveys that were done in an LMIC as classified by the World Bank in the survey year; were done in 2013 or later; were nationally representative; had individual-level data available; and asked questions on statin use and previous history of cardiovascular disease. Primary outcomes were the proportion of eligible individuals self-reporting use of statins for the primary and secondary prevention of cardiovascular disease. Eligibility for statin therapy for primary prevention was defined among individuals with a history of diagnosed diabetes or a 10-year cardiovascular disease risk of at least 20%. Eligibility for statin therapy for secondary prevention was defined among individuals with a history of self-reported cardiovascular disease. At the country level, we estimated statin use by per-capita health spending, per-capita income, burden of cardiovascular diseases, and commitment to non-communicable disease policy. At the individual level, we used modified Poisson regression models to assess statin use alongside individual-level characteristics of age, sex, education, and rural versus urban residence. Countries were weighted in proportion to their population size in pooled analyses. Findings: The final pooled sample included 116 449 non-pregnant individuals. 9229 individuals reported a previous history of cardiovascular disease (7·9% [95% CI 7·4-8·3] of the population-weighted sample). Among those without a previous history of cardiovascular disease, 8453 were eligible for a statin for primary prevention of cardiovascular disease (9·7% [95% CI 9·3-10·1] of the population-weighted sample). For primary prevention of cardiovascular disease, statin use was 8·0% (95% CI 6·9-9·3) and for secondary prevention statin use was 21·9% (20·0-24·0). The WHO target that at least 50% of eligible individuals receive statin therapy to prevent cardiovascular disease was achieved by no region or income group. Statin use was less common in countries with lower health spending. At the individual level, there was generally higher statin use among women (primary prevention only, risk ratio [RR] 1·83 [95% CI 1·22-2·76), and individuals who were older (primary prevention, 60-69 years, RR 1·86 [1·04-3·33]; secondary prevention, 50-59 years RR 1·71 [1·35-2·18]; and 60-69 years RR 2·09 [1·65-2·65]), more educated (primary prevention, RR 1·61 [1·09-2·37]; secondary prevention, RR 1·28 [0·97-1·69]), and lived in urban areas (secondary prevention only, RR 0·82 [0·66-1·00]). Interpretation: In a diverse sample of LMICs, statins are used by about one in ten eligible people for the primary prevention of cardiovascular diseases and one in five eligible people for secondary prevention. There is an urgent need to scale up statin use in LMICs to achieve WHO targets. Policies and programmes that facilitate implementation of statins into primary health systems in these settings should be investigated for the future.