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Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers

BACKGROUND: Promising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and...

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Autores principales: Milat, Andrew, Lee, Karen, Conte, Kathleen, Grunseit, Anne, Wolfenden, Luke, van Nassau, Femke, Orr, Neil, Sreeram, Padmaja, Bauman, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942323/
https://www.ncbi.nlm.nih.gov/pubmed/31900230
http://dx.doi.org/10.1186/s12961-019-0494-2
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author Milat, Andrew
Lee, Karen
Conte, Kathleen
Grunseit, Anne
Wolfenden, Luke
van Nassau, Femke
Orr, Neil
Sreeram, Padmaja
Bauman, Adrian
author_facet Milat, Andrew
Lee, Karen
Conte, Kathleen
Grunseit, Anne
Wolfenden, Luke
van Nassau, Femke
Orr, Neil
Sreeram, Padmaja
Bauman, Adrian
author_sort Milat, Andrew
collection PubMed
description BACKGROUND: Promising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. METHODS: The ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT. RESULTS: A variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: ‘setting the scene’ requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended for scale-up, (2) is promising but needs further information before scaling up, or (3) does not yet merit scale-up. CONCLUSION: The ISAT fills an important gap in applied scalability assessment and can become a critical decision support tool for policy-makers and practitioners when selecting health interventions for scale-up. Although the ISAT is designed to be a health policy and practitioner tool, it can also be used by researchers in the design of research to fill important evidence gaps.
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spelling pubmed-69423232020-01-07 Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers Milat, Andrew Lee, Karen Conte, Kathleen Grunseit, Anne Wolfenden, Luke van Nassau, Femke Orr, Neil Sreeram, Padmaja Bauman, Adrian Health Res Policy Syst Research BACKGROUND: Promising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. METHODS: The ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT. RESULTS: A variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: ‘setting the scene’ requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended for scale-up, (2) is promising but needs further information before scaling up, or (3) does not yet merit scale-up. CONCLUSION: The ISAT fills an important gap in applied scalability assessment and can become a critical decision support tool for policy-makers and practitioners when selecting health interventions for scale-up. Although the ISAT is designed to be a health policy and practitioner tool, it can also be used by researchers in the design of research to fill important evidence gaps. BioMed Central 2020-01-03 /pmc/articles/PMC6942323/ /pubmed/31900230 http://dx.doi.org/10.1186/s12961-019-0494-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Milat, Andrew
Lee, Karen
Conte, Kathleen
Grunseit, Anne
Wolfenden, Luke
van Nassau, Femke
Orr, Neil
Sreeram, Padmaja
Bauman, Adrian
Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title_full Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title_fullStr Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title_full_unstemmed Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title_short Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
title_sort intervention scalability assessment tool: a decision support tool for health policy makers and implementers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942323/
https://www.ncbi.nlm.nih.gov/pubmed/31900230
http://dx.doi.org/10.1186/s12961-019-0494-2
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