12 research outputs found
“We Were Afraid”: Mental Health Effects of the COVID-19 Pandemic in Two South African Districts
The impacts of pandemics are recognized to go beyond infection, physical suffering, and socio-economic disruptions. Other consequences include psychological responses. Using a mental wellbeing lens, we analyzed COVID-19-related stressors in healthcare workers (HCWs) and community members who provided and regularly accessed health services in South Africa, respectively. From February to September 2021, during the second COVID-19 wave we conducted a qualitative study in one urban and one rural district. In-depth interviews and focus group discussions were used to collect data among 43 HCWs and 51 community members purposely and conveniently selected. Most participants experienced mental health challenges regarding multiple aspects of the COVID-19 pandemic and its resulting lockdown, with a few reporting positive adjustments to change. COVID-19 impacts on mental health were consistent among both HCWs and community members in urban and rural alike. Participants’ COVID-19-induced psychological responses included anxiety and fear of the unknown, perceived risk of infection, fear of hospitalization, and fear of dying. Physical effects of the pandemic on participants included COVID-19 infection and associated symptoms, possibilities of severe illness and discomfort of using personal protective equipment. These distresses were exacerbated by social repercussions related to concerns for family wellbeing and infection stigma. Lockdown regulations also intensified anxieties about financial insecurities and social isolation. At times when common coping mechanisms such as family support were inaccessible, cultural consequences related to lack of spiritual gatherings and limited funeral rites posed additional stress on participants. In preparation for future public health emergencies, recognition needs to be given to mental health support and treatment
Urban Informal Food Traders: A Rapid Qualitative Study of COVID-19 Lockdown Measures in South Africa
Globally, the adoption of COVID-19 containment measures, such as lockdowns, have been used to curb the rapid spread of the pandemic. However, these action regulations have caused substantial challenges to livelihoods. We explored the perceptions and experiences of COVID-19 implications for urban informal food traders in South Africa during the initial lockdown period that lasted five weeks. A rapid qualitative study was conducted during October–November 2020. Twelve key informants (seven men and five women) categorized into informal traders and food system expert groups were interviewed. Data were analyzed thematically using MAXQDA software. Participants perceived informal trading as a main source of livelihood for many individuals. Negative lockdown impacts described included forced business closure, increased food costs and reduced demand. The consensus among participants was that the government’s lack of formal recognition for informal food traders pre-COVID-19 contributed to challenges they faced during the pandemic, as evidenced by their exclusion as “essential service providers’’ at the start of lockdown. Policies that fail to recognize and consider informal food traders during ‘normal’ times lead to widened social inequality gaps among already vulnerable groups during natural disasters and disease outbreaks. In the case of COVID-19 in South Africa, this caused severe hunger, food insecurity and income loss
HIV non-testing, perpetration of violence against women, and sexual risk-behaviour: A cross-sectional analysis of South African peri-urban township men
Despite HIV testing having improved globally, men remain disproportionately less likely to test for HIV. While violence against women (VAW) and HIV risk have a strong association among women, few studies explore men around VAW perpetration, risky-sexual behaviour, and HIV testing. Males aged 18–42 years were recruited from a peri-urban settlement near Johannesburg, South Africa. Data were from an endline of a trial. We used logistic regression to assess odds of non-HIV testing using STATA 13. At endline, 1508 men participated in the study. Of these nearly one-third (31.6%, n = 475) had not tested for HIV in the past year. HIV non-testing was significantly lower among men who were single, older, did not complete high school and were less food secure. VAW perpetration retained a significant association with HIV non-testing after controlling for socio-demographics (AOR = 0.73, 95%CI = 0.58–0.93). In multivariate models, HIV non-testing was also associated with inconsistent condom use (AOR = 0.64, 95%CI = 0.48–0.85), problem drinking (AOR = 0.72, 95%CI = 0.55–0.94) and reporting of all four risky sexual behaviours (AOR = 0.70, 95%CI = 0.49–1.01). Data suggests that one-third of men who never test for HIV in this setting may represent a high-risk group. Future campaigns could consider behaviour change around non-violence, relationship quality, and gender norms alongside HIV testing
Urban Informal Food Traders: A Rapid Qualitative Study of COVID-19 Lockdown Measures in South Africa
Globally, the adoption of COVID-19 containment measures, such as lockdowns, have been used to curb the rapid spread of the pandemic. However, these action regulations have caused substantial challenges to livelihoods. We explored the perceptions and experiences of COVID-19 implications for urban informal food traders in South Africa during the initial lockdown period that lasted five weeks. A rapid qualitative study was conducted during October–November 2020. Twelve key informants (seven men and five women) categorized into informal traders and food system expert groups were interviewed. Data were analyzed thematically using MAXQDA software. Participants perceived informal trading as a main source of livelihood for many individuals. Negative lockdown impacts described included forced business closure, increased food costs and reduced demand. The consensus among participants was that the government’s lack of formal recognition for informal food traders pre-COVID-19 contributed to challenges they faced during the pandemic, as evidenced by their exclusion as “essential service providers’’ at the start of lockdown. Policies that fail to recognize and consider informal food traders during ‘normal’ times lead to widened social inequality gaps among already vulnerable groups during natural disasters and disease outbreaks. In the case of COVID-19 in South Africa, this caused severe hunger, food insecurity and income loss
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Participatory prioritisation of interventions to improve primary school food environments in Gauteng, South Africa
Acknowledgements: We express our gratitude to the study participants for their valuable contribution to the study and the GDAR Network for their support in the study design.Funder: National Institute for Health Research; Grant(s): GHR:16/137/34, GHR:16/137/34, GHR:16/137/34, GHR:16/137/34, GHR:16/137/34, GHR:16/137/34, GHR:16/137/34Background: In South Africa, overweight and obesity affect 17% of children aged 15–18. School food environments play a vital role in children’s health, influencing dietary behaviours and resulting in high obesity rates. Interventions targeting schools can contribute to obesity prevention if evidence-based and context-specific. Evidence suggests that current government strategies are inadequate to ensure healthy school food environments. The aim of this study was to identify priority interventions to improve school food environments in urban South Africa using the Behaviour Change Wheel model. Methods: A three-phased iterative study design was implemented. First, we identified contextual drivers of unhealthy school food environments through a secondary framework analysis of 26 interviews with primary school staff. Transcripts were deductively coded in MAXQDA software using the Behaviour Change Wheel and the Theoretical Domains Framework. Second, to identify evidence-based interventions, we utilised the NOURISHING framework and matched interventions to identified drivers. Third, interventions were prioritised using a Delphi survey administered to stakeholders (n = 38). Consensus for priority interventions was defined as an intervention identified as being 'somewhat' or ‘very' important and feasible with a high level of agreement (quartile deviation ≤ 0.5). Results: We identified 31 unique contextual drivers that school staff perceived to limit or facilitate a healthy school food environment. Intervention mapping yielded 21 interventions to improve school food environments; seven were considered important and feasible. Of these, the top priority interventions were to: 1) “regulate what kinds of foods can be sold at schools”, 2) “train school staff through workshops and discussions to improve school food environment”, and affix 3) “compulsory, child-friendly warning labels on unhealthy foods”. Conclusion: Prioritising evidence-based, feasible and important interventions underpinned by behaviour change theories is an important step towards enhanced policy making and resource allocation to tackle South Africa’s childhood obesity epidemic effectively
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Participatory prioritisation of interventions to improve primary school food environments in Gauteng, South Africa.
BACKGROUND: In South Africa, overweight and obesity affect 17% of children aged 15-18. School food environments play a vital role in children's health, influencing dietary behaviours and resulting in high obesity rates. Interventions targeting schools can contribute to obesity prevention if evidence-based and context-specific. Evidence suggests that current government strategies are inadequate to ensure healthy school food environments. The aim of this study was to identify priority interventions to improve school food environments in urban South Africa using the Behaviour Change Wheel model. METHODS: A three-phased iterative study design was implemented. First, we identified contextual drivers of unhealthy school food environments through a secondary framework analysis of 26 interviews with primary school staff. Transcripts were deductively coded in MAXQDA software using the Behaviour Change Wheel and the Theoretical Domains Framework. Second, to identify evidence-based interventions, we utilised the NOURISHING framework and matched interventions to identified drivers. Third, interventions were prioritised using a Delphi survey administered to stakeholders (n = 38). Consensus for priority interventions was defined as an intervention identified as being 'somewhat' or 'very' important and feasible with a high level of agreement (quartile deviation ≤ 0.5). RESULTS: We identified 31 unique contextual drivers that school staff perceived to limit or facilitate a healthy school food environment. Intervention mapping yielded 21 interventions to improve school food environments; seven were considered important and feasible. Of these, the top priority interventions were to: 1) "regulate what kinds of foods can be sold at schools", 2) "train school staff through workshops and discussions to improve school food environment", and affix 3) "compulsory, child-friendly warning labels on unhealthy foods". CONCLUSION: Prioritising evidence-based, feasible and important interventions underpinned by behaviour change theories is an important step towards enhanced policy making and resource allocation to tackle South Africa's childhood obesity epidemic effectively
What values drive communities' nutrition priorities in a resource constrained urban area in South Africa?
Background: voices of under-resourced communities are recognised as important yet are often unheard in decisions about healthcare resource allocation. Deliberative public engagement can serve as an effective mechanism for involving communities in establishing nutrition priorities. This study sought to identify the priorities of community members of a South African township, Soweto, and describe the underlying values driving their prioritisation process, to improve nutrition in the first 1000 days of life.Methods: we engaged 54 community members (28 men and 26 women aged > 18 years) from Soweto. We conducted seven group discussions to determine how to allocate limited resources for prioritising nutrition interventions. We used a modified public engagement tool: CHAT (Choosing All Together) which presented 14 nutrition intervention options and their respective costs. Participants deliberated and collectively determined their nutritional priorities. Choices were captured quantitatively, while group discussions were audio-recorded. A thematic analysis was undertaken to identify the reasons and values associated with the selected priorities.Results: all groups demonstrated a preference to allocate scarce resources towards three priority interventions-school breakfast provisioning, six-months paid maternity leave, and improved food safety. All but one group selected community gardens and clubs, and five groups prioritised decreasing the price of healthy food and receiving job search assistance. Participants' allocative decisions were guided by several values implicit in their choices, such as fairness and equity, efficiency, social justice, financial resilience, relational solidarity, and human development, with a strong focus on children. Priority interventions were deemed critical to supporting children's optimal development and well-being, interrupting the intergenerational cycle of poverty and poor human development in the community.Conclusion: our study demonstrates how public engagement can facilitate the incorporation of community values and programmatic preferences into nutrition priority setting, enabling a responsive approach to local community needs, especially in resource constrained contexts. Findings could guide policy makers to facilitate more appropriate decisions and to improve nutrition in the first 1000 days of life.</p
Health promotion capacity and institutional systems: an assessment of the South African Department of Health
A Mixed-Methods Participatory Intervention Design Process to Develop Intervention Options in Immediate Food and Built Environments to Support Healthy Eating and Active Living among Children and Adolescents in Cameroon and South Africa.
Funder: National Institute for Health Research (NIHR); Grant(s): GHR: 16/137/34), 16/137/34Rates of obesity and related non-communicable diseases are on the rise in sub-Saharan Africa, associated with sub-optimal diet and physical inactivity. Implementing evidence-based interventions targeting determinants of unhealthy eating and physical inactivity in children and adolescents' immediate environments is critical to the fight against obesity and related non-communicable diseases. Setting priorities requires a wide range of stakeholders, methods, and context-specific data. This paper reports on a novel participatory study design to identify and address contextual drivers of unhealthy eating and physical inactivity of children and adolescents in school and in their home neighborhood food and built environments. We developed a three-phase mixed-method study in Cameroon (Yaoundé) and South Africa (Johannesburg and Cape Town) from 2020-2021. Phase one focused on identifying contextual drivers of unhealthy eating and physical inactivity in children and adolescents in each setting using secondary analysis of qualitative data. Phase two matched identified drivers to evidence-based interventions. In phase three, we worked with stakeholders using the Delphi technique to prioritize interventions based on perceived importance and feasibility. This study design provides a rigorous method to identify and prioritize interventions that are tailored to local contexts, incorporating expertise of diverse local stakeholders
What works in engaging communities?: prioritising nutrition interventions in Burkina Faso, Ghana and South Africa
Background: "Choosing All Together" (CHAT), is a community engagement tool designed to give the public a voice in how best to allocate limited resources to improve population health. This process evaluation explored the mechanisms through which CHAT generates community engagement.Method: the CHAT tool was adapted and implemented for use in two rural communities (Nanoro, Burkina Faso, and Navrongo, Ghana) and one urban township (Soweto, South Africa) to prioritize maternal and child nutrition interventions. Community discussions were audio-recorded, transcribed, and translated into English. Twenty-two transcripts, including six each from Navrongo and Soweto and 10 from Nanoro, were analysed thematically to generate data driven codes and themes to explain mechanisms underlying the CHAT process. The process evaluation was based on the UK MRC process evaluation guidance.Results: seven themes describing the functions and outcomes of CHAT were identified. Themes described participants deliberating trade-offs, working together, agreeing on priorities, having a shared vision, and increasing their knowledge, also the skills of the facilitator, and a process of power sharing between participants and researchers. Participants came to an agreement of priorities when they had a shared vision. Trained facilitators are important to facilitate meaningful discussion between participants and those with lower levels of literacy to participate fully.Conclusion: CHAT has been shown to be adaptable and useful in prioritising maternal and child nutrition interventions in communities in Burkina Faso, Ghana, and South Africa. Conducting CHAT in communities over a longer period and involving policy-makers would increase trust, mutual respect and develop partnerships.</p