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Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial
BACKGROUND: Although theory-driven evaluations should have empirical components, few evaluations of public health interventions quantitatively test the causal model made explicit in the theory of change (ToC). In the context of a shared sanitation trial (MapSan) in Maputo, Mozambique, we report find...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285873/ https://www.ncbi.nlm.nih.gov/pubmed/34271913 http://dx.doi.org/10.1186/s12889-021-11364-w |
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author | Bick, Sarah Buxton, Helen Chase, Rachel P. Ross, Ian Adriano, Zaida Capone, Drew Knee, Jackie Brown, Joe Nalá, Rassul Cumming, Oliver Dreibelbis, Robert |
author_facet | Bick, Sarah Buxton, Helen Chase, Rachel P. Ross, Ian Adriano, Zaida Capone, Drew Knee, Jackie Brown, Joe Nalá, Rassul Cumming, Oliver Dreibelbis, Robert |
author_sort | Bick, Sarah |
collection | PubMed |
description | BACKGROUND: Although theory-driven evaluations should have empirical components, few evaluations of public health interventions quantitatively test the causal model made explicit in the theory of change (ToC). In the context of a shared sanitation trial (MapSan) in Maputo, Mozambique, we report findings of a quantitative process evaluation assessing intervention implementation, participant response and impacts on hypothesised intermediary outcomes on the pathway to trial health outcomes. We examine the utility of path analysis in testing intervention theory using process indicators from the intervention’s ToC. METHODS: Process data were collected through a cross-sectional survey of intervention and control compounds of the MapSan trial > 24-months post-intervention, sampling adult residents and compound leaders. Indicators of implementation fidelity (dose received, reach) and participant response (participant behaviours, intermediary outcomes) were compared between trial arms. The intervention’s ToC (formalised post-intervention) was converted to an initial structural model with multiple alternative pathways. Path analysis was conducted through linear structural equation modelling (SEM) and generalised SEM (probit model), using a model trimming process and grouped analysis to identify parsimonious models that explained variation in outcomes, incorporating demographics of respondents and compounds. RESULTS: Among study compounds, the MapSan intervention was implemented with high fidelity, with a strong participant response in intervention compounds: improvements were made to intermediary outcomes related to sanitation ‘quality’ – latrine cleanliness, maintenance and privacy – but not to handwashing (presence of soap / soap residue). These outcomes varied by intervention type: single-cabin latrines or multiple-cabin blocks (designed for > 20 users). Path analysis suggested that changes in intermediary outcomes were likely driven by direct effects of intervention facilities, with little contribution from hygiene promotion activities nor core elements expected to mediate change: a compound sanitation committee and maintenance fund. A distinct structural model for two compound size subgroups (≤ 20 members vs. > 20 members) explained differences by intervention type, and other contextual factors influenced specific model parameters. CONCLUSIONS: While process evaluation found that the MapSan intervention achieved sufficient fidelity and participant response, the path analysis approach applied to test the ToC added to understanding of possible ‘mechanisms of change’, and has value in disentangling complex intervention pathways. TRIAL REGISTRATION: MapSan trial registration: NCT02362932 Feb-13-2015. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11364-w. |
format | Online Article Text |
id | pubmed-8285873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82858732021-07-19 Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial Bick, Sarah Buxton, Helen Chase, Rachel P. Ross, Ian Adriano, Zaida Capone, Drew Knee, Jackie Brown, Joe Nalá, Rassul Cumming, Oliver Dreibelbis, Robert BMC Public Health Research Article BACKGROUND: Although theory-driven evaluations should have empirical components, few evaluations of public health interventions quantitatively test the causal model made explicit in the theory of change (ToC). In the context of a shared sanitation trial (MapSan) in Maputo, Mozambique, we report findings of a quantitative process evaluation assessing intervention implementation, participant response and impacts on hypothesised intermediary outcomes on the pathway to trial health outcomes. We examine the utility of path analysis in testing intervention theory using process indicators from the intervention’s ToC. METHODS: Process data were collected through a cross-sectional survey of intervention and control compounds of the MapSan trial > 24-months post-intervention, sampling adult residents and compound leaders. Indicators of implementation fidelity (dose received, reach) and participant response (participant behaviours, intermediary outcomes) were compared between trial arms. The intervention’s ToC (formalised post-intervention) was converted to an initial structural model with multiple alternative pathways. Path analysis was conducted through linear structural equation modelling (SEM) and generalised SEM (probit model), using a model trimming process and grouped analysis to identify parsimonious models that explained variation in outcomes, incorporating demographics of respondents and compounds. RESULTS: Among study compounds, the MapSan intervention was implemented with high fidelity, with a strong participant response in intervention compounds: improvements were made to intermediary outcomes related to sanitation ‘quality’ – latrine cleanliness, maintenance and privacy – but not to handwashing (presence of soap / soap residue). These outcomes varied by intervention type: single-cabin latrines or multiple-cabin blocks (designed for > 20 users). Path analysis suggested that changes in intermediary outcomes were likely driven by direct effects of intervention facilities, with little contribution from hygiene promotion activities nor core elements expected to mediate change: a compound sanitation committee and maintenance fund. A distinct structural model for two compound size subgroups (≤ 20 members vs. > 20 members) explained differences by intervention type, and other contextual factors influenced specific model parameters. CONCLUSIONS: While process evaluation found that the MapSan intervention achieved sufficient fidelity and participant response, the path analysis approach applied to test the ToC added to understanding of possible ‘mechanisms of change’, and has value in disentangling complex intervention pathways. TRIAL REGISTRATION: MapSan trial registration: NCT02362932 Feb-13-2015. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11364-w. BioMed Central 2021-07-16 /pmc/articles/PMC8285873/ /pubmed/34271913 http://dx.doi.org/10.1186/s12889-021-11364-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Bick, Sarah Buxton, Helen Chase, Rachel P. Ross, Ian Adriano, Zaida Capone, Drew Knee, Jackie Brown, Joe Nalá, Rassul Cumming, Oliver Dreibelbis, Robert Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title | Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title_full | Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title_fullStr | Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title_full_unstemmed | Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title_short | Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial |
title_sort | using path analysis to test theory of change: a quantitative process evaluation of the mapsan trial |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285873/ https://www.ncbi.nlm.nih.gov/pubmed/34271913 http://dx.doi.org/10.1186/s12889-021-11364-w |
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