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Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya
BACKGROUND: Unreliable and nonexistent supply chain procedures and processes are one of the primary barriers to achieving functional community health units in nomadic communities in the arid/semiarid counties of Kenya. METHODS: We used a human-centered design (HCD) approach to engage communities and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health: Science and Practice
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971376/ https://www.ncbi.nlm.nih.gov/pubmed/33727327 http://dx.doi.org/10.9745/GHSP-D-20-00378 |
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author | Andersson, Sarah R. Hassanen, Sarah Momanyi, Amos M. Onyango, Danielson K. Gatwechi, Daniel K. Lutukai, Mercy N. Aura, Karen O. Mungai, Alex M. Chandani, Yasmin K. |
author_facet | Andersson, Sarah R. Hassanen, Sarah Momanyi, Amos M. Onyango, Danielson K. Gatwechi, Daniel K. Lutukai, Mercy N. Aura, Karen O. Mungai, Alex M. Chandani, Yasmin K. |
author_sort | Andersson, Sarah R. |
collection | PubMed |
description | BACKGROUND: Unreliable and nonexistent supply chain procedures and processes are one of the primary barriers to achieving functional community health units in nomadic communities in the arid/semiarid counties of Kenya. METHODS: We used a human-centered design (HCD) approach to engage communities and community health volunteers (CHVs) in redesigning a proven data-centric supply chain approach that included a digital solution, called cStock, for this challenging context. We conducted the HCD process in 4 phases: (1) understanding intent, (2) research and insights, (3) ideation and prototyping, and (4) supply chain design and requirements building. Data collection used qualitative methods and involved a range of stakeholders including CHVs, supervisors, and local beneficiaries. CHVs and their supervisors also participated in cStock usability testing. Drawing on insights and personas generated from the research, stakeholders ideated and codesigned supply chain tools. RESULTS: The research identified critical insights for informing the redesign of cStock for nomadic communities. These insights were categorized into supply chain, information systems, human resources, behaviors, service delivery infrastructure, and connectivity. Four supply chain data solutions were designed, prototyped, tested, and iterated: a stock recording paper-based form, a user-friendly cStock application, a supervisor cStock application, and an unstructured supplementary service data reporting system using feature phones. CONCLUSIONS: Using the HCD process incorporated the perspective of CHVs and their communities and provided key insights to inform the design of the supply chain and adapt cStock. The process helped make cStock to be inclusive and have the potential to have a meaningful impact on strengthening the supply chain for seminomadic and nomadic communities in northern Kenya. A strong supply chain for these CHVs will increase access to essential and reproductive health commodities and contribute to improving the overall health and well-being of these communities, especially women and children. |
format | Online Article Text |
id | pubmed-7971376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Global Health: Science and Practice |
record_format | MEDLINE/PubMed |
spelling | pubmed-79713762021-03-19 Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya Andersson, Sarah R. Hassanen, Sarah Momanyi, Amos M. Onyango, Danielson K. Gatwechi, Daniel K. Lutukai, Mercy N. Aura, Karen O. Mungai, Alex M. Chandani, Yasmin K. Glob Health Sci Pract Methodology BACKGROUND: Unreliable and nonexistent supply chain procedures and processes are one of the primary barriers to achieving functional community health units in nomadic communities in the arid/semiarid counties of Kenya. METHODS: We used a human-centered design (HCD) approach to engage communities and community health volunteers (CHVs) in redesigning a proven data-centric supply chain approach that included a digital solution, called cStock, for this challenging context. We conducted the HCD process in 4 phases: (1) understanding intent, (2) research and insights, (3) ideation and prototyping, and (4) supply chain design and requirements building. Data collection used qualitative methods and involved a range of stakeholders including CHVs, supervisors, and local beneficiaries. CHVs and their supervisors also participated in cStock usability testing. Drawing on insights and personas generated from the research, stakeholders ideated and codesigned supply chain tools. RESULTS: The research identified critical insights for informing the redesign of cStock for nomadic communities. These insights were categorized into supply chain, information systems, human resources, behaviors, service delivery infrastructure, and connectivity. Four supply chain data solutions were designed, prototyped, tested, and iterated: a stock recording paper-based form, a user-friendly cStock application, a supervisor cStock application, and an unstructured supplementary service data reporting system using feature phones. CONCLUSIONS: Using the HCD process incorporated the perspective of CHVs and their communities and provided key insights to inform the design of the supply chain and adapt cStock. The process helped make cStock to be inclusive and have the potential to have a meaningful impact on strengthening the supply chain for seminomadic and nomadic communities in northern Kenya. A strong supply chain for these CHVs will increase access to essential and reproductive health commodities and contribute to improving the overall health and well-being of these communities, especially women and children. Global Health: Science and Practice 2021-03-15 /pmc/articles/PMC7971376/ /pubmed/33727327 http://dx.doi.org/10.9745/GHSP-D-20-00378 Text en © Andersson et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit http://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-20-00378 |
spellingShingle | Methodology Andersson, Sarah R. Hassanen, Sarah Momanyi, Amos M. Onyango, Danielson K. Gatwechi, Daniel K. Lutukai, Mercy N. Aura, Karen O. Mungai, Alex M. Chandani, Yasmin K. Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title | Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title_full | Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title_fullStr | Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title_full_unstemmed | Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title_short | Using Human-Centered Design to Adapt Supply Chains and Digital Solutions for Community Health Volunteers in Nomadic Communities of Northern Kenya |
title_sort | using human-centered design to adapt supply chains and digital solutions for community health volunteers in nomadic communities of northern kenya |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971376/ https://www.ncbi.nlm.nih.gov/pubmed/33727327 http://dx.doi.org/10.9745/GHSP-D-20-00378 |
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