Psychological distress among South African healthcare workers during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has placed immense pressure on healthcare workers (HCWs). OBJECTIVES: This study sought to find the prevalence and factors associated with psychological distress among HCWs in South Africa during the beginning phases of COVID-19 and make relevant recommendations. METHOD: The survey was administered online through a data-free platform. Data were benchmarked to the national population of over 500 000 healthcare professionals in South Africa. Multiple logistic regressions were used to determine association between psychological distress and potential explanatory variables. RESULTS: A total of 7607 healthcare professionals participated in the study (1760 nurses, 2843 medical practitioners and 3004 other healthcare professionals). Half of the nurses, 41% of medical practitioners and 47% of other healthcare professionals were classified as psychologically distressed. Those who were of older age, provided with well-being support services and having a positive outlook on the healthcare system were significantly less likely to be distressed. Being female medical practitioners and female other healthcare professions, requesting routine counselling, being concerned about not having enough leave and that their life insurance policy did not cover COVID-19 were more likely to be distressed. CONCLUSION: Psychological well-being of HCWs in South Africa is at risk. We recommend that psychological distress of HCWs be routinely assessed and that routine counselling, well-being support services, appropriate hazardous leave and insurance be provided to all HCWs.Contribution: This study adds to the literature on the psychological distress faced by HCWs in South Africa during COVID-19.

Psychological distress among South African healthcare workers during the COVID-19 pandemic

Background: The COVID-19 pandemic has placed immense pressure on healthcare workers (HCWs). Objectives: This study sought to find the prevalence and factors associated with psychological distress among HCWs in South Africa during the beginning phases of COVID-19 and make relevant recommendations. Method: The survey was administered online through a data-free platform. Data were benchmarked to the national population of over 500 000 healthcare professionals in South Africa. Multiple logistic regressions were used to determine association between psychological distress and potential explanatory variables. Results: A total of 7607 healthcare professionals participated in the study (1760 nurses, 2843 medical practitioners and 3004 other healthcare professionals). Half of the nurses, 41% of medical practitioners and 47% of other healthcare professionals were classified as psychologically distressed. Those who were of older age, provided with well-being support services and having a positive outlook on the healthcare system were significantly less likely to be distressed. Being female medical practitioners and female other healthcare professions, requesting routine counselling, being concerned about not having enough leave and that their life insurance policy did not cover COVID-19 were more likely to be distressed. Conclusion: Psychological well-being of HCWs in South Africa is at risk. We recommend that psychological distress of HCWs be routinely assessed and that routine counselling, well-being support services, appropriate hazardous leave and insurance be provided to all HCWs. Contribution: This study adds to the literature on the psychological distress faced by HCWs in South Africa during COVID-19.

" It is like it has come up and stole our lives from us" The first 21 days: A rapid qualitative assessment of how different sectors of society experienced the COVID-19 lockdown in South Africa.

We examined how different sectors of society experienced the first 21 days of the stay-at-home lockdown following the onset of the coronavirus disease 2019 (COVID-19) pandemic in South Africa. This rapid qualitative assessment was conducted remotely with 60 key and community informants from different socio-cultural and economic backgrounds in Gauteng, KwaZulu-Natal and the Western Cape provinces of South Africa. Atlas.ti.8 was used to facilitate qualitative data analysis. Data revealed how the lockdown exacerbated social inequalities for the poor and marginalised. Fear of infection, and food and income insecurity were common concerns mentioned in key and community informant interviews. Despite the social and economic distress, the data also point to a narrative of social responsibility, resilience and social cohesion. The social responsibility and cohesion demonstrated by South African communities should be drawn upon to invoke community resilience, even in the absence of physical proximity.

Geographical variation in HIV testing in South Africa: Evidence from the 2017 national household HIV survey.

BACKGROUND: Identification of the geographical areas with low uptake of HIV testing could assist in spatial targeting of interventions to improve the uptake of HIV testing. OBJECTIVES: The objective of this research study was to map the uptake of HIV testing at the district level in South Africa. METHOD: The secondary analysis used data from the Human Sciences Research Council's 2017 National HIV Prevalence, Incidence, Behaviour and Communication Survey, where data were collected using a multistage stratified random cluster sampling approach. Descriptive spatial methods were used to assess disparities in the proportion of those ever tested for HIV at the district level in South Africa. RESULTS: The districts with the highest overall coverage of people ever having tested for HIV (> 85%) include West Rand in Gauteng, Lejweleputswa and Thabo Mofutsanyane in Free State, and Ngaka Modiri Molema in North-West. These provinces also had the least variation in HIV testing coverage between their districts. Districts in KwaZulu-Natal had the widest variation in coverage of HIV testing. The districts with the lowest uptake of HIV testing were uMkhanyakude (54.7%) and Ugu (61.4%) in KwaZulu-Natal and Vhembe (61.0%) in Limpopo. Most districts had a higher uptake of HIV testing amongst female than male participants. CONCLUSION: The uptake of HIV testing across various districts in South Africa seems to be unequal. Intervention programmes must improve the overall uptake of HIV testing, especially in uMkhanyakude and Ugu in KwaZulu-Natal and Vhembe in Limpopo. Interventions must also focus on enhancing uptake of HIV testing amongst male participants in most districts. Strategies that would improve the uptake of HIV testing include HIV self-testing and community HIV testing, specifically home-based testing.

Myths, misconceptions, othering and stigmatizing responses to Covid-19 in South Africa: A rapid qualitative assessment.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a new strain of virus in the Coronavirus family that has not been previously identified. Since SARS-CoV-2 is a new virus, everyone is at risk of catching the Coronavirus disease 2019 (Covid-19). No one has immunity to the virus. Despite this, misconceptions about specific groups of people who are immune to Covid-19 emerged with the onset of the pandemic. This paper explores South African communities' misconceptions about who is most vulnerable to Covid-19. A rapid qualitative assessment was conducted remotely in Gauteng, KwaZulu-Natal and the Western Cape provinces of South Africa. Recruitment of study participants took place through established relationships with civil society organizations and contacts made by researchers. In total, 60 key informant interviews and one focus group discussion was conducted. Atlas.ti.8 Windows was used to facilitate qualitative data analysis. The qualitative data was coded, and thematic analysis used to identify themes. The results show a high level of awareness and knowledge of the transmission and prevention of SARS-CoV-2. Qualitative data revealed that there is awareness of elderly people and those with immunocompromised conditions being more vulnerable to catching Covid-19. However, misconceptions of being protected against the virus or having low or no risk were also evident in the data. We found that false information circulated on social media not only instigated confusion, fear and panic, but also contributed to the construction of misconceptions, othering and stigmatizing responses to Covid-19. The study findings bring attention to the importance of developing communication materials adapted to specific communities to help reduce misconceptions, othering and stigmatization around Covid-19.