Resource requirements for community-based care in rural, deep-rural and peri-urban communities in South Africa: A comparative analysis in 2 South African provinces

Donela Besada, Daygan Eagar, Russel Rensburg, Gugu Shabangu, Salamina Hlahane and Emmanuelle Daviaud

PLOS ONE, 2020, vol. 15, issue 1, 1-19

Abstract: Introduction: As South Africa embarks on the implementation of the community health care worker (CHW) 2018 policy, quantifying the resource requirements to effectively manage the programme across different geographical communities is essential. This study was conducted to quantify and compare costs associated with travel and service delivery demands on CHWs between area types in two districts. Methods: This economic analysis adopted a provider perspective to cost CHW services between January and November 2016. A total of 221 CHWs completed diaries for 10 days to document their activities. Quintile regression and the Kruskall Wallis test were used to test for differences in time and activities across urban and rural sites. Results: While travel time across rural and urban settings within each district did differ it was not the most significant predictor of differences in time utilization. Time on activities showed more significant differences with overall median time by unit of activity being 15% longer in rural than urban areas in Sedibeng and 10% longer in uMzinyathi respectively. Most CHW time was spent conducting home visits (57% in rural,66% in peri-urban/urban). Median time per home visit in uMzinyathi was 50% longer in deep-rural areas than urban areas and 20% longer in rural than urban areas in Sedibeng. Referrals and number of home visits per capita (0.4 visits in rural and 0.7 in urban/peri-urban areas) were low in both districts. Expenditure on the programme translated to under 4% of PHC expenditure per capita and remains under 5% if despite the new national minimum wage (R3,500/$245). Conclusion: Because home visits take longer and CHWs spend a lower share of time on visits, a higher number is required in rural and deep rural areas (33% and 66% respectively) than in urban areas. Effective budget planning will therefore need to recognize the different geographical needs.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0218682

DOI: 10.1371/journal.pone.0218682

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