Evidence map›Paper›PMID 31900230›Full record

ArticleHealth research policy and systems2020

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

Andrew Milat, Karen Lee, Kathleen Conte, Anne Grunseit, Luke Wolfenden, Femke van Nassau, Neil Orr, Padmaja Sreeram, Adrian Bauman

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06753643 (Implementing the National Frailty Policy in Singapore's Primary Care), which is not on this map. Cited by 111 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 6 pooled it
36.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06753643 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Implementing the National Frailty Policy in Singapore's Primary Care: A Pilot Feasibility Study of The Intrinsic Capacity ProMotion in PrimAry Care for The Frail Program (IMPACTFrail)

TypeobservationalSponsorGeriatric Education and Research InstituteRan2025 to 2026Enrolled180ConditionsHealthy Ageing, FrailtyArmsThe IMPACTFrail programme
3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 6 syntheses or guidelines pooled it, 243 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. How effective are physical activity interventions when they are scaled-up: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Andrew MilatCentre for Epidemiology and Evidence, New South Wales Ministry of Health, 100 Christie Street, St Leornards, North Sydney, NSW, 2065, Australia. andrew.milat@health.nsw.gov.au.ORCID http://orcid.org/0000-0003-3126-3463
Karen LeeThe Australian Prevention Partnership Centre, 10 Jones Street, Ultimo, NSW, 2065, Australia.
Kathleen ConteThe Australian Prevention Partnership Centre, 10 Jones Street, Ultimo, NSW, 2065, Australia.
Anne GrunseitThe Australian Prevention Partnership Centre, 10 Jones Street, Ultimo, NSW, 2065, Australia.
Luke WolfendenThe Australian Prevention Partnership Centre, 10 Jones Street, Ultimo, NSW, 2065, Australia.
Femke van NassauDepartment of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Neil OrrThe Poche Centre for Indigenous Health, University of Sydney, Camperdown, NSW, 2050, Australia.
Padmaja SreeramMcMaster Health Forum, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
Adrian BaumanThe Australian Prevention Partnership Centre, 10 Jones Street, Ultimo, NSW, 2065, Australia.
The University of Sydney · AUThe Australian Prevention Partnership Centre · AUAmsterdam University Medical Centers · NLMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPromising 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.

methodsThe 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.

resultsA 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.

conclusionThe 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.

Indexed as

Health PolicyPolicy MakingHealth PromotionHumansProgram DevelopmentProgram EvaluationResearch Designassessment support toolImplementationscalabilityscale-up

Identifiers

PMID31900230
PMCPMC6942323
OpenAlexW3006359455

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.