Evidence map›Paper›PMID 36925881›Full record

ArticleFrontiers in health services2022

Assessing the sustainability capacity of evidence-based programs in community and health settings.

Caren Bacon, Sara Malone, Kim Prewitt, Rachel Hackett, Molly Hastings, Sarah Dexter, Douglas A Luke

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Article in Frontiers in health services, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

7 authors.

Caren BaconCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Sara MaloneCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Kim PrewittCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Rachel HackettCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Molly HastingsCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Sarah DexterCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Douglas A LukeCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

Background: Within many public health settings, there remain large challenges to sustaining evidence-based practices. The Program Sustainability Assessment Tool has been developed and validated to measure sustainability capacity of public health, social service, and educational programs. This paper describes how this tool was utilized between January 2014 and January 2019. We describe characteristics of programs that are associated with increased capacity for sustainability and ultimately describe the utility of the PSAT in sustainability research and practice. Methods: The PSAT is comprised of 8 subscales, measuring sustainability capacity in eight distinct conceptual domains. Each subscale is made up of five items, all assessed on a 7-point Likert scale. Data were obtained from persons who used the PSAT on the online website (https://sustaintool.org/), from 2014 to 2019. In addition to the PSAT scale, participants were asked about four program-level characteristics. The resulting dataset includes 5,706 individual assessments reporting on 2,892 programs. Results: The mean overall PSAT score was 4.73, with the lowest and highest scoring subscales being funding stability and program adaptation, respectively. Internal consistency for each subscale was excellent (average Cronbach's alpha = 0.90, ranging from 0.85 to 0.94). Confirmatory factor analysis highlighted good to excellent fit of the PSAT measurement model (eight distinct conceptual domains) to the observed data, with a comparative fit index of 0.902, root mean square error of approximation equal to 0.054, and standardized root mean square residual of 0.054. Overall sustainability capacity was significantly related to program size ( Discussion: The PSAT maintained its excellent reliability when tested with a large and diverse sample over time. Initial criterion validity was explored through the assessment of program characteristics, including program type and program size. The data collected reinforces the ability of the PSAT to assess sustainability capacity for a wide variety of public health and social programs.

Indexed as

communityevidence-based interventionshealthimplementation scienceprogram sustainabilitysustainability capacity

Identifiers

PMID36925881
PMCPMC10012779

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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.