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Evaluation of household assessment data collected by community health workers in Cape Town, South Africa
BACKGROUND: South Africa has implemented ward-based outreach teams as part of re-engineering primary health care with teams of community health workers (CHWs). In Cape Town, such a community-orientated primary care (COPC) approach was developed at four learning sites. Community health workers regist...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378136/ https://www.ncbi.nlm.nih.gov/pubmed/33314942 http://dx.doi.org/10.4102/safp.v62i1.5168 |
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author | Mash, Robert Du Pisanie, Louiso Swart, Carla van der Merwe, Ella |
author_facet | Mash, Robert Du Pisanie, Louiso Swart, Carla van der Merwe, Ella |
author_sort | Mash, Robert |
collection | PubMed |
description | BACKGROUND: South Africa has implemented ward-based outreach teams as part of re-engineering primary health care with teams of community health workers (CHWs). In Cape Town, such a community-orientated primary care (COPC) approach was developed at four learning sites. Community health workers registered and assessed the households they were responsible for, but a year later the data were not analysed or converted into useful information. The aim was to analyse the household data and evaluate its contribution to a community diagnosis, its quality and any implications for the performance of CHWs. METHODS: This article used descriptive secondary analysis of household data collected by CHWs at three COPC learning sites in Cape Town (Nomzamo, Eastridge and Mamre). RESULTS: Data were analysed for 16 852 people from Eastridge, 1338 people from Mamre and 1008 people from Nomzamo. Data were compared in terms of household composition and demographics, type of dwelling, identification of people on treatment for chronic conditions, identification of health risks (e.g. tuberculosis symptoms, tobacco smoking, missed immunisations, missed vitamin A prophylaxis, need for human immunodeficiency virus (HIV) testing or family planning, pregnant or postnatal, and wound care) and for referrals. CONCLUSION: Household assessment visits have great potential. Data collected is currently of poor quality, inconsistent or not captured, infrequently analysed and not comprehensive. There is a need to introduce an electronic m-health solution to assist the health information system, to revise the contents of the household assessment form and to ensure that CHWs are competent to identify risks and respond appropriately. |
format | Online Article Text |
id | pubmed-8378136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-83781362021-09-03 Evaluation of household assessment data collected by community health workers in Cape Town, South Africa Mash, Robert Du Pisanie, Louiso Swart, Carla van der Merwe, Ella S Afr Fam Pract (2004) Original Research BACKGROUND: South Africa has implemented ward-based outreach teams as part of re-engineering primary health care with teams of community health workers (CHWs). In Cape Town, such a community-orientated primary care (COPC) approach was developed at four learning sites. Community health workers registered and assessed the households they were responsible for, but a year later the data were not analysed or converted into useful information. The aim was to analyse the household data and evaluate its contribution to a community diagnosis, its quality and any implications for the performance of CHWs. METHODS: This article used descriptive secondary analysis of household data collected by CHWs at three COPC learning sites in Cape Town (Nomzamo, Eastridge and Mamre). RESULTS: Data were analysed for 16 852 people from Eastridge, 1338 people from Mamre and 1008 people from Nomzamo. Data were compared in terms of household composition and demographics, type of dwelling, identification of people on treatment for chronic conditions, identification of health risks (e.g. tuberculosis symptoms, tobacco smoking, missed immunisations, missed vitamin A prophylaxis, need for human immunodeficiency virus (HIV) testing or family planning, pregnant or postnatal, and wound care) and for referrals. CONCLUSION: Household assessment visits have great potential. Data collected is currently of poor quality, inconsistent or not captured, infrequently analysed and not comprehensive. There is a need to introduce an electronic m-health solution to assist the health information system, to revise the contents of the household assessment form and to ensure that CHWs are competent to identify risks and respond appropriately. AOSIS 2020-12-03 /pmc/articles/PMC8378136/ /pubmed/33314942 http://dx.doi.org/10.4102/safp.v62i1.5168 Text en © 2020. The Authors https://creativecommons.org/licenses/by/4.0/Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Mash, Robert Du Pisanie, Louiso Swart, Carla van der Merwe, Ella Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title | Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title_full | Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title_fullStr | Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title_full_unstemmed | Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title_short | Evaluation of household assessment data collected by community health workers in Cape Town, South Africa |
title_sort | evaluation of household assessment data collected by community health workers in cape town, south africa |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378136/ https://www.ncbi.nlm.nih.gov/pubmed/33314942 http://dx.doi.org/10.4102/safp.v62i1.5168 |
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