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

community evidence-based interventions health implementation science program sustainability sustainability capacity

Journal

Frontiers in health services
ISSN: 2813-0146
Titre abrégé: Front Health Serv
Pays: Switzerland
ID NLM: 9918334887706676

Informations de publication

Date de publication:
2022
Historique:
received: 27 07 2022
accepted: 09 11 2022
entrez: 17 3 2023
pubmed: 18 3 2023
medline: 18 3 2023
Statut: epublish

Résumé

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. 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. 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 ( 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 36925881
doi: 10.3389/frhs.2022.1004167
pmc: PMC10012779
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1004167

Informations de copyright

Copyright © 2022 Bacon, Malone, Prewitt, Hackett, Hastings, Dexter and Luke.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Caren Bacon (C)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Sara Malone (S)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.

Kim Prewitt (K)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Rachel Hackett (R)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Molly Hastings (M)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Sarah Dexter (S)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Douglas A Luke (DA)

Center for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, United States.

Classifications MeSH