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

Abstract 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 servi...

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Main Authors: Andrew Milat, Karen Lee, Kathleen Conte, Anne Grunseit, Luke Wolfenden, Femke van Nassau, Neil Orr, Padmaja Sreeram, Adrian Bauman
Format: Article
Language:English
Published: BMC 2020-01-01
Series:Health Research Policy and Systems
Subjects:
Online Access:https://doi.org/10.1186/s12961-019-0494-2
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spelling doaj-7a86bfdeca6c4917b3d5b1d7f0ac099c2021-01-03T12:19:48ZengBMCHealth Research Policy and Systems1478-45052020-01-0118111710.1186/s12961-019-0494-2Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementersAndrew Milat0Karen Lee1Kathleen Conte2Anne Grunseit3Luke Wolfenden4Femke van Nassau5Neil Orr6Padmaja Sreeram7Adrian Bauman8Centre for Epidemiology and Evidence, New South Wales Ministry of HealthThe Australian Prevention Partnership CentreThe Australian Prevention Partnership CentreThe Australian Prevention Partnership CentreThe Australian Prevention Partnership CentreDepartment of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research InstituteThe Poche Centre for Indigenous Health, University of SydneyMcMaster Health Forum, McMaster UniversityThe Australian Prevention Partnership CentreAbstract 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.https://doi.org/10.1186/s12961-019-0494-2Implementationscale-upassessment support toolscalability
collection DOAJ
language English
format Article
sources DOAJ
author Andrew Milat
Karen Lee
Kathleen Conte
Anne Grunseit
Luke Wolfenden
Femke van Nassau
Neil Orr
Padmaja Sreeram
Adrian Bauman
spellingShingle Andrew Milat
Karen Lee
Kathleen Conte
Anne Grunseit
Luke Wolfenden
Femke van Nassau
Neil Orr
Padmaja Sreeram
Adrian Bauman
Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers
Health Research Policy and Systems
Implementation
scale-up
assessment support tool
scalability
author_facet Andrew Milat
Karen Lee
Kathleen Conte
Anne Grunseit
Luke Wolfenden
Femke van Nassau
Neil Orr
Padmaja Sreeram
Adrian Bauman
author_sort Andrew Milat
title 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_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_sort intervention scalability assessment tool: a decision support tool for health policy makers and implementers
publisher BMC
series Health Research Policy and Systems
issn 1478-4505
publishDate 2020-01-01
description Abstract 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.
topic Implementation
scale-up
assessment support tool
scalability
url https://doi.org/10.1186/s12961-019-0494-2
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