"Health Outcomes of Grandparents Caring for Double Orphans in South Africa": What Are the Determinants?

In the 21st century, grandparenthood is a significant phenomenon in the fields of demography, gerontology, and sociology. It is mainly explored in the context of ageing, as it is poised to become one of the most significant demographic phenomena and social issues in contemporary South Africa. Therefore, this study examined the determinants associated with grandparents who are parenting as caregivers and the health challenges they are exposed to as caregivers. The National Income Dynamics Study (NIDS) Wave 5 dataset was utilised, and a total of 302,476 grandparents aged 25 years and older, who were reported to be primary caregivers of double orphans, were included in the analysis. Both bivariate and multivariate binary logistic regressions were performed to determine the predictors of the determinants of grandparents parenting as caregivers and their health challenges in South Africa. Estimated odds ratios (ORs) with 95% confidence intervals (CIs) were used, and the threshold for statistical significance was established at ρ < 0.05. A majority of the male and female grandparent caregivers were aged 24-34 years, were Black Africans (69.8%), had secondary education (46.9%), reported health challenges (HC) (59.7%), with 26.4% reporting headaches in the last 30 days. Logistic regression revealed that grandparent caregivers aged 55-64 years were 8.9 times more likely to report health challenges compared to those aged 25-34 years. Non-Black African grandparent caregivers were found to be 0.61 times less likely to report health challenges, compared to Black African grandparent caregivers. Those with perceived poor health status were 3.3 times more likely to report health challenges, compared to those with excellent perceived health status. Therefore, there is an urgent need to redesign health interventions to address these health burdens among grandparent caregivers and to take cognisance of providing economic and social support for these vulnerable populations.

Health services satisfaction and medical exclusion among migrant youths in Gauteng Province of South Africa: A cross-sectional analysis of the GCRO survey (2017-2018)

BACKGROUND

Medical xenophobia of migrant (either in-migrants or immigrants) youths is an ongoing problem in contemporary South African society. Medical mistreatment by healthcare workers and social phobia from migrant youths have been attributed to major obstacles to healthcare utilization as well as health services satisfaction. This study aimed to determine the prevalence and factors contributing to health services satisfaction and medical exclusion among migrant youths in Gauteng province in South Africa.

METHODS

The Round 5 Gauteng City-Region Observatory (GCRO) Quality of Life (QoL) survey was conducted in 2017‒2018, a nationally representative survey piloted every two years in South Africa, was utilized in this study. A 2-year cohort study of 24,889 respondents aged 18 to 29 and a baseline data consisted of 4,872 respondents, comprising non-migrants, in-migrants and immigrants, from where 2,162 in-migrants and immigrants were utilized as the sample size. The data was analysed using descriptive statistics, Chi-Square analysis and logistic regression.

RESULTS

A total of 2,162 migrants, comprising 35.4% in-migrants and 9.0% of immigrants, from the 4,872 respondents, were included in the analysis. The prevalence of medical exclusion of in-migrant and immigrant youths were 5.5% and 4.2%, and the majority of them reported the use of public health facilities (in-migrants ‒ 84.3% vs. immigrants ‒ 87.1%). At the bivariate level, demographic (age, sex, and population group), economic (employed and any income) and health-related (no medical aid and household member with mental health) factors were significantly associated with medical exclusion (ρ≤0.05). The adjusted odds ratio showed that only female gender (AOR: 1.07, 95% CI: 0.678, 1.705), no medical aid cover (AOR: 1.23, 95% CI: 0.450, 3.362), and neither (AOR: 1.59, 95% CI: 0.606, 4.174) or dissatisfied (AOR: 4.29, 95% CI: 2.528, 7.270) were independent predictors of medical exclusion.

CONCLUSION

Having no medical aid cover, being a female and dissatisfied, or neither satisfied nor dissatisfied with health services significantly increased the odds of medical exclusion among migrant youths. To increase healthcare utilization and ensuring adequate medical care of migrant youths, opting for medical aid insurance without increasing costs should be guaranteed. Therefore, there should be no consequences for lack of residence status or correct documentation papers when accessing healthcare services among migrant youths in South Africa.

Determinants of life satisfaction among migrants in South Africa: an analysis of the GCRO's quality of life survey (2009-2021)

BACKGROUND

Migrant populations in any country are a vulnerable group, and psycho-demographic research measuring life satisfaction has been used to assess migrants' well-being in developed and developing countries. However, South Africa, with its high influx of migrant populations, has investigated these topical concerns from the perspective of xenophobia, with mixed findings. However, no, or very few studies have examined life satisfaction among migrants in South Africa. This study, therefore, extends previous literature by examining the determinants of life satisfaction among South Africa's internal and international migrant populations.

METHODS

We conducted a cross-sectional study from the 2009 to 2021 Gauteng City-Region Observatory (GCRO) Quality of Life (QoL) surveys among migrant populations in two ways: a full sample and a gender-stratified sample. A sample of male and female migrants ranging from 15 to 49 years of age were recruited into this study. Cantril's Self-Anchoring Ladder Life Satisfaction scale captured their life satisfaction alongside relevant social demographic factors. Descriptive statistics were applied for the data analysis of the demographic factors. Bivariate and multivariate logistics regression analyses were conducted to assess the associations and the predictive factors of life satisfaction among migrants, both internal and international.

RESULTS

The key findings were the gender distribution of life satisfaction, showing that more international (male - 66.0% and female - 67.1%) migrants reported having a thriving life satisfaction than internal migrants (male - 61.7% and female - 61.5%). Findings from the Pearson correlation coefficient revealed a significant association between the individual, household, and community factors by migrant status (ρ < 0.05). However, the probit coefficients revealed that individual factors (age 48+: AOR = 2.18, 95% CI: 1.13, 3.23, and secondary/higher education: AOR = 1.1., 95% CI: 0.01, 1.19) and household factors (two persons living in households (H/H): AOR = 1.05, 95% CI: 0.50, 1.10), and community factors (international migrant status: AOR = 2.12, 95% CI: 0.08, 2.16) significantly increase the prediction of higher odds of life satisfaction by gender among migrants. The ordered logit coefficients also showed that individual factors (middle and high income and having health insurance) and household factors (receiving SASSA social grant) predicted the highest life satisfaction among migrants (internal and international).

CONCLUSION

We found substantial evidence that individual-, household-, and community-level factors were associated with life satisfaction among migrants. In particular, the pattern of life satisfaction varied slightly between male and female migrants, as well as with migrant status in South Africa. These findings collectively may provide helpful information for policymakers and practitioners to optimise interventions for migrant populations to improve their life satisfaction. Evidence from this study also calls on the government of South Africa to begin tracking the life satisfaction of its nationals, whether migrants or not.