Determinants of excellent/good self-rated health among HIV positive individuals in South Africa: evidence from a 2012 nationally representative household survey

Government policy towards informal settlements in south africa reflects a tension between two approaches: recognizing the legitimacy of informal settlements and aggressively removing these so-called “slums”.( 1 ) drawing on nationally representative household survey data and interviews with 25 individuals relocated from an informal settlement to a “transit camp”, this paper argues that more detailed attention should be paid to the changing connection between housing, household formation and work. Whereas cities in the apartheid era were marked by relatively stable industrial labour and racially segregated family housing, today the location and nature of informal dwellings are consistent with two important trends: demographic shifts, including towards smaller more numerous households, and employment shifts, including a move from permanent to casual and from formal to informal work. This study is therefore able to substantiate in more detail a longstanding insistence by informal settlement residents that they live where they do for reasons vital to their everyday survival. The paper also highlights the limitations of relocations not only to urban peripheries but also to other parts of cities, and it underscores the importance of upgrading informal settlements through in situ development.

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Who benefits from health services in South Africa?

Health Economics Policy and Law ◽

10.1017/s1744133112000060 ◽

2012 ◽

Vol 8 (1) ◽

pp. 21-46 ◽

Cited By ~ 19

Author(s):

John Ele-Ojo Ataguba ◽

Di McIntyre

Keyword(s):

South Africa ◽

Health Services ◽

Health System ◽

Household Survey ◽

Public And Private ◽

Universal System ◽

Major Health ◽

Survey Results ◽

Nationally Representative ◽

Public And Private Sector

AbstractSouth Africa is considering major health service restructuring to move towards a universal system. This calls for understanding the challenges in the existing health system. The paper, therefore, comprehensively evaluates an aspect of current health system performance – the benefit incidence of health services. It seeks to understand how the benefits from using health services in South Africa are currently distributed across socio-economic groups. Using a nationally representative household survey, results show that lower socio-economic groups benefit less than their richer counterparts from both public and private sector health services, and that the distribution of service benefits is not in line with their need for care.

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Response to Pettifor et al. ‘Young peopleʼs sexual health in South Africa’: HIV prevalence and sexual behaviors from a nationally representative household survey

AIDS ◽

10.1097/01.aids.0000218569.51015.bc ◽

2006 ◽

Vol 20 (6) ◽

pp. 952-953

Author(s):

Rachel Jewkes

Keyword(s):

South Africa ◽

Sexual Health ◽

Sexual Behaviors ◽

Household Survey ◽

Hiv Prevalence ◽

Nationally Representative

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Predictors of Poor Self-rated Health in KwaZulu-Natal, South Africa: Insights from a Cross-sectional Survey

The Open Public Health Journal ◽

10.2174/1874944501912010164 ◽

2019 ◽

Vol 12 (1) ◽

pp. 164-171

Author(s):

L. Mlangeni ◽

M. Mabaso ◽

L. Makola ◽

K. Zuma

Keyword(s):

South Africa ◽

Logistic Regression ◽

South African ◽

Household Survey ◽

Well Being ◽

Multivariate Logistic Regression Model ◽

Stepwise Logistic Regression ◽

Self Rated Health ◽

Kwazulu Natal ◽

Fair Poor

Background: The association between Self-Rated Health (SRH) and poor health outcomes is well established. Economically and socially marginalized individuals have been shown to be more likely to have poor SRH. There are few representative studies that assess the factors that influence SRH amongst individuals in KwaZulu-Natal, South Africa. This study assessed factors associated with poor self-rated health amongst individuals from KwaZulu-Natal using data from the 2012 South African national household survey. Methods: The 2012 South African population-based nationally representative household survey employed a multi-stage stratified cluster randomised crossectional design. Multivariate backward stepwise logistic regression models were used to determine whether SRH is significantly influenced by socio-demographic and health-related factors. Results: Out of a total of 5192 participants living in KZN, 18.1% reported having fair/poor SRH. In the multivariate logistic regression model the increased likelihood of reporting fair/poor was significantly associated with being older, HIV positive, being an excessive drinker, and not having medical aid. The decreased likelihood of reporting fair/poor was associated with being educated, not having a chronic condition, being physically active, being employed, and not accessing care regularly. Conclusion: This study has shown that marginalized individuals are more likely to have poorer SRH. Greater efforts need to be made to ensure that these individuals are brought into the fold through education, job opportunities, health insurance, social support services for poor living conditions, and poor well-being including services for substance abusers.

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