Scaling up population health interventions from decision to sustainability - a window of opportunity? A qualitative view from policy-makers
- PMID: 33036633
- PMCID: PMC7547476
- DOI: 10.1186/s12961-020-00636-3
Scaling up population health interventions from decision to sustainability - a window of opportunity? A qualitative view from policy-makers
Abstract
Background: While known efficacious preventive health interventions exist, the current capacity to scale up these interventions is limited. In recent years, much attention has focussed on developing frameworks and methods for scale-up yet, in practice, the pathway for scale-up is seldom linear and may be highly dependent on contextual circumstances. Few studies have examined the process of scaling up from decision to implementation nor examined the sustainability of scaled-up interventions. This study explores decision-makers' perceptions from real-world scaled-up case studies to examine how scale-up decisions were made and describe enablers of successful scale-up and sustainability.
Methods: This qualitative study included 29 interviews conducted with purposively sampled key Australian policy-makers, practitioners and researchers experienced in scale-up. Semi-structured interview questions obtained information regarding case studies of scaled-up interventions. The Framework Analysis method was used as the primary method of analysis of the interview data to inductively generate common and divergent themes within qualitative data across cases.
Results: A total of 31 case studies of public health interventions were described by interview respondents based on their experiences. According to the interviewees' perceptions, decisions to scale up commonly occurred either opportunistically, when funding became available, or when a deliberate decision was made and funding allocated. The latter scenario was more common when the intervention aligned with specific political or strategic goals. Decisions to scale up were driven by a variety of key actors such as politicians, senior policy-makers and practitioners in the health system. Drivers of a successful scale-up process included good governance, clear leadership, and adequate resourcing and expertise. Establishing accountability structures and appropriate engagement mechanisms to encourage the uptake of interventions were also key enablers. Sustainability was influenced by evidence of impact as well as good acceptability among the general or target population.
Conclusions: Much like Kingdon's Multiple Streams Theory of 'policy windows', there is a conceptually similar 'window for scale-up', driven by a complex interplay of factors such as political need, strategic context, funding and key actors. Researchers and policy-makers need to consider scalability from the outset and prepare for when the window for scale-up opens. Decision-makers need to provide longer term funding for scale-up to facilitate longer term sustainability and build on the resources already invested for the scale-up process.
Keywords: Decision-making; Policy-makers; Scalability; Scale-up; Sustainability.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures
Similar articles
-
Increasing the scale and adoption of population health interventions: experiences and perspectives of policy makers, practitioners, and researchers.Health Res Policy Syst. 2014 Apr 15;12:18. doi: 10.1186/1478-4505-12-18. Health Res Policy Syst. 2014. PMID: 24735455 Free PMC article.
-
Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences.Health Res Policy Syst. 2024 May 14;22(1):58. doi: 10.1186/s12961-024-01144-4. Health Res Policy Syst. 2024. PMID: 38745326 Free PMC article.
-
Achieving Sustainability and Scale-Up of Mobile Health Noncommunicable Disease Interventions in Sub-Saharan Africa: Views of Policy Makers in Ghana.JMIR Mhealth Uhealth. 2019 May 3;7(5):e11497. doi: 10.2196/11497. JMIR Mhealth Uhealth. 2019. PMID: 31066706 Free PMC article.
-
Narrative review of models and success factors for scaling up public health interventions.Implement Sci. 2015 Aug 12;10:113. doi: 10.1186/s13012-015-0301-6. Implement Sci. 2015. PMID: 26264351 Free PMC article. Review.
-
Avoiding and identifying errors in health technology assessment models: qualitative study and methodological review.Health Technol Assess. 2010 May;14(25):iii-iv, ix-xii, 1-107. doi: 10.3310/hta14250. Health Technol Assess. 2010. PMID: 20501062 Review.
Cited by
-
Engaging underrepresented populations in public health monitoring: strategies for people with mild intellectual disability or low literacy skills.Int J Equity Health. 2025 Jul 14;24(1):204. doi: 10.1186/s12939-025-02578-0. Int J Equity Health. 2025. PMID: 40660218 Free PMC article.
-
Readiness for scale up following effectiveness-implementation trial: results of scalability assessment of the Community Partnership Program for diabetes self-management for older adults with multiple chronic conditions.BMC Health Serv Res. 2025 Feb 20;25(1):284. doi: 10.1186/s12913-025-12378-5. BMC Health Serv Res. 2025. PMID: 39979911 Free PMC article. Clinical Trial.
-
Real-world public health interventions demonstrate how research evidence informs program scale-up.Health Promot Int. 2024 Oct 1;39(5):daae111. doi: 10.1093/heapro/daae111. Health Promot Int. 2024. PMID: 39312717 Free PMC article.
-
Untangling the complex implementation process of community-based health promotion: a multiple-case study in the Netherlands.Health Promot Int. 2024 Feb 1;39(1):daae005. doi: 10.1093/heapro/daae005. Health Promot Int. 2024. PMID: 38400834 Free PMC article.
-
Scaling-Up eConsult: Promising Strategies to Address Enabling Factors in Four Jurisdictions in Canada.Int J Health Policy Manag. 2023;12:7203. doi: 10.34172/ijhpm.2023.7203. Epub 2023 Sep 5. Int J Health Policy Manag. 2023. PMID: 38618827 Free PMC article. Review.
References
-
- World Health Organization . Preventing chronic disease: a vital investment. Geneva: WHO; 2005.
-
- Australian Institute of Health and Welfare. Australia’s Health 2014. Canberra: AIHW; 2014.
-
- World Health Organization . Global health risks: mortality and burden of disease attributal to selected major risks. Geneva: WHO; 2009.
-
- Fixsen DL, Blase KA, Fixsen AAM. Scaling effective innovations. Criminol Public Policy. 2017;16(2):487–499. doi: 10.1111/1745-9133.12288. - DOI
MeSH terms
LinkOut - more resources
Full Text Sources