Research Outputs (Public Health)
Permanent URI for this collectionhttps://hdl.handle.net/10539/36984
This collection includes content from the MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt) which has been operating the Agincourt health and demographic surveillance system since 1992. Work has evolved since then into a robust research infrastructure supporting advanced community-based research with studies ranging from the biomedical to the ethnographic, making rural voices heard.
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Item Factors influencing agency nursing and moonlighting among nurses in South Africa(2014) Rispel, L.C; Blaauw, D; Chirwa, T; et alBACKGROUND: In South Africa, nurses are the largest category of the health care providers. Their optimal performance is critical for the successful implementation of impending health sector reforms. OBJECTIVE: This paper examines the occurrence of agency nursing, moonlighting, and overtime among nurses in South Africa, and the factors influencing moonlighting. DESIGN: This cross-sectional survey was a one-stage cluster random sample of 80 hospitals in four South African provinces, selected with stratification from the public and private health sectors. On the survey day, all nurses working in critical care, theatre, emergency, maternity, and general medical and surgical wards completed a self-administered questionnaire after giving informed consent. In addition to demographic information, the questionnaire elicited information on the frequency of agency nursing, moonlighting, and overtime, and the nurses' reasons for doing moonlighting. Survey data were weighted and analysed using STATA version 12. RESULTS: The majority of survey participants (n = 3,784) were South African (98.0%), female (92.7%), and employed in government (52.8%). Their mean age was 41.5 years (SD 10.4). The occurrence of moonlighting among nurses in the 12 months preceding the survey was 28.0% [95% CI: 24.2-32.1], the frequency of agency nursing was 37.8% [95% CI: 32.4-43.6], while 56.0% of nurses did overtime [95% CI: 51.4-60.4]. In the multiple logistic regression analysis, predictors of moonlighting were province, sector of primary employment, unit of work, category of nurse, and having children. The odds of moonlighting was 1.51 [95% CI: 1.03-2.21] times higher for private sector nurses than for public nurses, while the odds ratio for auxiliary nurses was 0.61 [95% CI: 0.47-0.79] compared to professional nurses. The odds of moonlighting was 1.49 [95% CI: 1.18-1.89] for nurses with children, compared to those without. CONCLUSIONS: Agency nursing, moonlighting, and overtime are common among South African nurses, but have received insufficient policy attention. These issues need to be addressed as part of the implementation of comprehensive health workforce strategies.Item Does moonlighting influence South African nurses' intention to leave their primary jobs?(2014) Rispel, L; Chirwa, T; Blaauw, D; et alBACKGROUND: Staff retention and turnover have risen in prominence in the global discourse on the health workforce. Moonlighting, having a second job in addition to a primary job, has not featured in debates on turnover. OBJECTIVE: This paper examines whether moonlighting is a determinant of South African nurses' intention to leave their primary jobs. DESIGN: During 2010, a one-stage cluster random sample of 80 hospitals was selected in four South African provinces. On the survey day, all nurses working in critical care, theatre, emergency, maternity, and general medical and surgical wards completed a self-administered questionnaire after giving informed consent. In addition to demographic information and information on moonlighting, the questionnaire obtained information on the participants' intention to leave their primary jobs in the 12 months following the survey. A weighted analysis of the survey data was done using STATA(®) 13. RESULTS: Survey participants (n=3,784) were predominantly middle-aged with a mean age of 41.5 (SD±10.4) years. Almost one-third of survey participants (30.9%) indicated that they planned to leave their jobs within 12 months. Intention to leave was higher among the moonlighters (39.5%) compared to non-moonlighters (27.9%; p<0.001). Predictors of intention to leave in a multiple logistic regression were moonlighting in the preceding year, nursing category, sector of primary employment, period working at the primary job, and number of children. The odds of intention to leave was 1.40 (95% CI: 1.16-1.69) times higher for moonlighters than for non-moonlighters. The odds ratio of intention to leave was 0.53 (95% CI: 0.42-0.66) for nursing assistants compared to professional nurses and 2.09 (95% CI: 1.49-2.94) for nurses working for a commercial nursing agency compared to those working in the public sector.Item Contestations and complexities of nurses' participation in policy-making in South Africa(2014) Ditlopo, P; Blaauw, D; Penn-Kekana, L; et al.Background: There has been increased emphasis globally on nurses’ involvement in health policy and systems development. However, there has been limited scholarly attention on nurses’ participation in policy-making in South Africa. Objective: This paper analyses the dynamics, strengths, and weaknesses of nurses’ participation in four national health workforce policies: the 2008 Nursing Strategy, revision of the Scope of Practice for nurses, the new Framework for Nursing Qualifications, and the Occupation-Specific Dispensation (OSD) remuneration policy. Design: Using a policy analysis framework, we conducted in-depth interviews with 28 key informants and 73 frontline nurses in four South African provinces. Thematic content analysis was done using the Atlas.ti software. Results: The study found that nurses’ participation in policy-making is both contested and complex. The contestation relates to the extent and nature of nurses’ participation in nursing policies. There was a disjuncture between nursing leadership and frontline nurses in their levels of awareness of the four policies. The latter group was generally unaware of these policies with the exception of the OSD remuneration policy as it affected them directly. There was also limited consensus on which nursing group legitimately represented nursing issues in the policy arena. Shifting power relationships influenced who participated, how the participation happened, and the degree to which nurses’ views and inputs were considered and incorporated. Conclusions: The South African health system presents major opportunities for nurses to influence and direct policies that affect them. This will require a combination of proactive leadership, health policy capacity and skills development among nurses, and strong support from the national nursing associationItem The health system consequences of agency nursing and moonlighting in South Africa(2015) Rispel, L.C; Blaauw, DBackground: Worldwide, there is an increased reliance on casual staff in the health sector. Recent policy attention in South Africa has focused on the interrelated challenges of agency nursing and moonlighting in the health sector. Objective: This paper examines the potential health system consequences of agency nursing and moonlighting among South African nurses. Methods: During 2010, a cluster random sample of 80 hospitals was selected in four South African provinces. On the survey day, all nurses providing clinical care completed a self-administered questionnaire after giving informed consent. The questionnaire obtained information on socio-demographics, involvement in agency nursing and moonlighting, and self-reported indicators of potential health system consequences of agency nursing and moonlighting. A weighted analysis was done using STATA† 13. Results: In the survey, 40.7% of nurses reported moonlighting or working for an agency in the preceding year. Of all participants, 51.5% reported feeling too tired to work, 11.5% paid less attention to nursing work on duty, and 10.9% took sick leave when not actually sick in the preceding year. Among the moonlighters, 11.9% had taken vacation leave to do agency work or moonlighting, and 9.8% reported conflicting schedules between their primary and secondary jobs. In the bivariate analysis, moonlighting nurses were significantly more likely than non-moonlighters to take sick leave when not sick (p 0.011) and to pay less attention to nursing work on duty (p 0.035). However, in a multiple logistic regression analysis, the differences between moonlighters and non-moonlighters did not remain statistically significant after adjusting for other sociodemographic variables. Conclusion: Although moonlighting did not emerge as a statistically significant predictor, the reported health system consequences are serious. A combination of strong nursing leadership, effective management, and consultation with and buy-in from front-line nurses is needed to counteract the potential negative health system consequences of agency nursing and moonlighting.