Background: Despite various policy interventions that have targeted reductions in socio-economic inequalities in health and health care in post-Apartheid South Africa, evidence suggests that not much has really changed. In particular, health inequalities, which are strongly linked to social determinants of health (SDH), persist. This study, thus, examines how changes in the SDH have impacted health inequalities over the last decade, the second since the end of Apartheid.
Methods: Data come from information collected on social determinants of health (SDH) and on health status in the 2004, 2010 and 2014 questionnaires of the South African General Household Surveys (GHSs). The health indicators considered include ill-health status and disability. Concentration indices and Oaxaca-Blinder decomposition of change in a concentration index methods were employed to unravel changes in socio-economic health inequalities and their key social drivers over the studied time period.
Results: The results show that inequalities in ill-health are consistently explained by socio-economic inequalities relating to employment status and provincial differences, which narrowed considerably over the studied periods. Relatedly, disability inequalities are largely explained by shrinking socio-economic inequalities relating to racial groups, educational attainment and provincial differences.
Conclusion: The extent of employment, location and education inequalities suggests the need for improved health care management and further delivery of education and job opportunities; greater effort in this regard is likely to be more beneficial in some way.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290544 | PMC |
http://dx.doi.org/10.1186/s12939-018-0885-y | DOI Listing |
BMC Public Health
January 2025
Department of Care Science, Faculty of Health and Society, Malmö University, Malmö, Sweden.
Background: Everyday challenges and stress negatively affect young people's mental health. Socioeconomic status (SES) is associated with different stressors and different stress-coping mechanisms. Many interventions target youth mental health, but few consider socioeconomic differences in the planning, implementation, or evaluation.
View Article and Find Full Text PDFNature
January 2025
Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Polygenic genome editing in human embryos and germ cells is predicted to become feasible in the next three decades. Several recent books and academic papers have outlined the ethical concerns raised by germline genome editing and the opportunities that it may present. To date, no attempts have been made to predict the consequences of altering specific variants associated with polygenic diseases.
View Article and Find Full Text PDFLancet Digit Health
January 2025
Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address:
Large language models (LLMs) offer promising applications in mental health care to address gaps in treatment and research. By leveraging clinical notes and transcripts as data, LLMs could improve diagnostics, monitoring, prevention, and treatment of mental health conditions. However, several challenges persist, including technical costs, literacy gaps, risk of biases, and inequalities in data representation.
View Article and Find Full Text PDFBJGP Open
January 2025
School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Background: Practices with higher two-week-wait (2WW) referral-rates demonstrate higher survival for several cancers. Yet, there is little up-to-date evidence exploring factors influencing 2WW-referral-rates and whether health inequalities exist, particularly after COVID-19.
Aim: To establish which patient-factors (eg, age, sex, ethnicity, deprivation) and practice-factors (eg, remote consultations, frequency of seeing a preferred-GP) independently predict 2WW-referral-rates.
Value Health
January 2025
Genentech, Inc, Alameda, CA, USA.
Objectives: Disparities in health and healthcare between more and less socially advantaged groups are pervasive, multidimensional, and far-reaching. The material and social conditions in which people are born, grow, work, live, and age are systematically associated with their health and with the volume, quality, and outcomes of care received by the vast majority of the general population, as well as by specific marginalized populations. The field of health economics and outcomes research (HEOR) has an important role in supporting health equity goals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!