Evidence map›Paper›PMID 41233872›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Are costs optimized as scale-up of Choose to Move-an effective health-promoting intervention for older adults-proceeds?

Zoe Szewczyk, Heather M Macdonald, Marina B Pinheiro, Lindsay Nettlefold, Joanie Sims Gould, Heather A McKay

2 registry-linked trialsAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT05497648 nacompletednot on this map

Choose to Move: Impact and Implementation Evaluation of a Program to Enhance Older Adult Physical Activity, Mobility and Health

TypeinterventionalSponsorUniversity of British ColumbiaRan2018 to 2021Enrolled1,216ConditionsAging, Physical Inactivity, Mobility Limitation, LonelinessArmsChoose to Move
NCT05678985 nacompletednot on this map

Choose to Move (Phase 4): Impact and Implementation Evaluation of a Program to Enhance Older Adult Physical Activity, Mobility and Health

TypeinterventionalSponsorUniversity of British ColumbiaRan2020 to 2025Enrolled550ConditionsAging, Mobility Limitation, Sedentary Behaviour, LonelinessArmsChoose to Move
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zoe SzewczykSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Heather M MacdonaldActive Aging Research Team, University of British Columbia, Vancouver, Canada.
Marina B PinheiroSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Lindsay NettlefoldActive Aging Research Team, University of British Columbia, Vancouver, Canada.
Joanie Sims GouldActive Aging Research Team, University of British Columbia, Vancouver, Canada.
Heather A McKayActive Aging Research Team, University of British Columbia, Vancouver, Canada. heathermckay99@me.com.

Funding

CIHR PJT-16915
6 · The paper itself

Abstract

backgroundFew studies have examined costs of implementing evidence-based interventions (EBIs) as scale-up proceeds. Across four phases, we co-adapted and scaled up an effective EBI designed to promote older adults’ health (Choose to Move; CTM). Following formative evaluation (2015), Phases 1–2 (2016-17) comprised the CTM pilot and early scale-up. For Phase 3 (2018-20), we adapted CTM to establish “best fit” and support broad scale-up. In response to COVID-19 (2020), we adapted CTM for virtual delivery. For Phase 4 (2020-22), we adapted CTM to reduce resource use. We aimed to (1) identify, measure, and value costs of implementing CTM across four phases (7 years) of scale-up; and (2) analyze change in implementation costs alongside changes in intervention effect sizes to assess cost-consequence trends from Phases 1–2 through Phase 4.

methodsWe conducted a trial-based cost and cost-consequence analysis of CTM Phases 1–2 through Phase 4 from a program provider perspective. Program costs were identified, measured, and valued using micro-costing techniques; variation in program cost was explored using scenario analyses. We compared Phase 4 intervention effects against those of Phases 1–2 and Phase 3 to examine how changes in implementation costs corresponded with changes in effect size.

resultsFor Phases 1–2, total cost ($CDN, 2024) of CTM implementation was $863,559 for 55 programs (534 participants; $1,617/participant). Phase 3 costs were $1,564,446 for 165 programs (1668 participants; $938/participant). Phase 4 costs were $760,983 for 135 programs (1278 participants; $595/participant), a reduction of 63% and 37% compared with Phases 1–2 and Phase 3, respectively. Compared with Phases 1–2, Phase 4 had a greater positive effect on social isolation but effect sizes for physical activity, mobility and loneliness were reduced. Phase 4 had a greater positive effect on physical activity and mobility in all participants, and loneliness among those < 75 years, compared with Phase 3.

conclusionsCosts associated with broad scale-up of EBIs are rarely investigated. We sought innovative ways to maximize impact of a health-promoting EBI, while minimizing costs. Our analysis highlights how strategic adaptations can enhance cost efficiency while improving intervention outcomes; this represents an emergent application of economic analysis within scale-up science.

trial registrationRetrospectively registered at ClinicalTrials.gov, NCT05678985 (CTM Phase 4) and NCT05497648 (CTM Phase 3).

Indexed as

COVID-19Health PromotionAgedCost-Benefit AnalysisCost-Effectiveness AnalysisFemaleHumansMalePandemicsSARS-CoV-2CostCost analysisCost consequenceHealthy agingImplementationScale-up

Identifiers

PMID41233872
PMCPMC12613748

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.