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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    Factors influencing agency nursing and moonlighting among nurses in South Africa
    (2014) Rispel, L.C; Blaauw, D; Chirwa, T; et al
    BACKGROUND: 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.
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    Does moonlighting influence South African nurses' intention to leave their primary jobs?
    (2014) Rispel, L; Chirwa, T; Blaauw, D; et al
    BACKGROUND: 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.