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Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria

Logic models (LMs) have been used in programme evaluation for over four decades. Current debate questions the ability of logic modelling techniques to incorporate contextual factors into logic models. We share experience of developing a logic model within an ongoing realist evaluation which assesses...

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Autores principales: Ebenso, Bassey, Manzano, Ana, Uzochukwu, Benjamin, Etiaba, Enyi, Huss, Reinhard, Ensor, Tim, Newell, James, Onwujekwe, Obinna, Ezumah, Nkoli, Hicks, Joe, Mirzoev, Tolib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403102/
https://www.ncbi.nlm.nih.gov/pubmed/30578941
http://dx.doi.org/10.1016/j.evalprogplan.2018.12.002
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author Ebenso, Bassey
Manzano, Ana
Uzochukwu, Benjamin
Etiaba, Enyi
Huss, Reinhard
Ensor, Tim
Newell, James
Onwujekwe, Obinna
Ezumah, Nkoli
Hicks, Joe
Mirzoev, Tolib
author_facet Ebenso, Bassey
Manzano, Ana
Uzochukwu, Benjamin
Etiaba, Enyi
Huss, Reinhard
Ensor, Tim
Newell, James
Onwujekwe, Obinna
Ezumah, Nkoli
Hicks, Joe
Mirzoev, Tolib
author_sort Ebenso, Bassey
collection PubMed
description Logic models (LMs) have been used in programme evaluation for over four decades. Current debate questions the ability of logic modelling techniques to incorporate contextual factors into logic models. We share experience of developing a logic model within an ongoing realist evaluation which assesses the extent to which, and under what circumstances a community health workers (CHW) programme promotes access to maternity services in Nigeria. The article contributes to logic modelling debate by: i) reflecting on how other scholars captured context during LM development in theory-driven evaluations; and ii) explaining how we explored context during logic model development for realist evaluation of the CHW programme in Nigeria. Data collection methods that informed our logic model development included documents review, email discussions and teleconferences with programme stakeholders and a technical workshop with researchers to clarify programme goals and untangle relationships among programme elements. One of the most important findings is that, rather than being an end in itself, logic model development is an essential step for identifying initial hypotheses for tentative relevant contexts, mechanisms and outcomes (CMOs) and CMO configurations of how programmes produce change. The logic model also informed development of a methodology handbook that is guiding verification and consolidation of underlying programme theories.
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spelling pubmed-64031022019-04-01 Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria Ebenso, Bassey Manzano, Ana Uzochukwu, Benjamin Etiaba, Enyi Huss, Reinhard Ensor, Tim Newell, James Onwujekwe, Obinna Ezumah, Nkoli Hicks, Joe Mirzoev, Tolib Eval Program Plann Article Logic models (LMs) have been used in programme evaluation for over four decades. Current debate questions the ability of logic modelling techniques to incorporate contextual factors into logic models. We share experience of developing a logic model within an ongoing realist evaluation which assesses the extent to which, and under what circumstances a community health workers (CHW) programme promotes access to maternity services in Nigeria. The article contributes to logic modelling debate by: i) reflecting on how other scholars captured context during LM development in theory-driven evaluations; and ii) explaining how we explored context during logic model development for realist evaluation of the CHW programme in Nigeria. Data collection methods that informed our logic model development included documents review, email discussions and teleconferences with programme stakeholders and a technical workshop with researchers to clarify programme goals and untangle relationships among programme elements. One of the most important findings is that, rather than being an end in itself, logic model development is an essential step for identifying initial hypotheses for tentative relevant contexts, mechanisms and outcomes (CMOs) and CMO configurations of how programmes produce change. The logic model also informed development of a methodology handbook that is guiding verification and consolidation of underlying programme theories. Elsevier 2019-04 /pmc/articles/PMC6403102/ /pubmed/30578941 http://dx.doi.org/10.1016/j.evalprogplan.2018.12.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ebenso, Bassey
Manzano, Ana
Uzochukwu, Benjamin
Etiaba, Enyi
Huss, Reinhard
Ensor, Tim
Newell, James
Onwujekwe, Obinna
Ezumah, Nkoli
Hicks, Joe
Mirzoev, Tolib
Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title_full Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title_fullStr Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title_full_unstemmed Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title_short Dealing with context in logic model development: Reflections from a realist evaluation of a community health worker programme in Nigeria
title_sort dealing with context in logic model development: reflections from a realist evaluation of a community health worker programme in nigeria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403102/
https://www.ncbi.nlm.nih.gov/pubmed/30578941
http://dx.doi.org/10.1016/j.evalprogplan.2018.12.002
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