Evidence map›Paper›PMID 40635098›Full record

ReviewImplementation science communications2025

Implementation of diabetes prevention programs into clinical practice and community settings: a systematic search and review.

Tineke E Dineen, Corliss Bean, Azar Bohlouli, Sarah L Percival, Mathew Vis-Dunbar, Mary E Jung

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Implementation science communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Tineke E DineenSchool of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 1238 Discovery Avenue, Kelowna, BC, V1V 1V7, Canada.
Corliss BeanDepartment of Recreation and Leisure Studies, Brock University, St Catharines, ON, Canada.
Azar BohlouliSchool of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 1238 Discovery Avenue, Kelowna, BC, V1V 1V7, Canada.
Sarah L PercivalSchool of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 1238 Discovery Avenue, Kelowna, BC, V1V 1V7, Canada.
Mathew Vis-DunbarUBC Library, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
Mary E JungSchool of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 1238 Discovery Avenue, Kelowna, BC, V1V 1V7, Canada. mary.jung@ubc.ca.ORCID http://orcid.org/0000-0002-2360-0952

Funding

Social Sciences and Humanities Research Council 767-2020-2130
6 · The paper itself

Abstract

backgroundGreater understanding of how evidence-based programs have been implemented in clinical practice and community settings is needed. Implementation science can help understand how to best implement programs, however, the fast-developing field is hindered by inconsistent terminology and reporting. To increase transparency and improve implementation science, standardized tools have been created. The aim of this systematic search and review was to identify implementation strategies, outcomes and determinants using standardized tools when diabetes prevention programs were implemented within a clinical practice and community setting.

methodsA comprehensive peer-reviewed search strategy was used to identify relevant articles. Relevant studies were retrieved from four electronic databases and specific inclusion and exclusion criteria were applied. Implementation strategies, outcomes, determinants, and theoretical frameworks were extracted from all included articles using two standardized tools (the refined compilation of implementation strategies and the minimum dataset of implementation determinants and outcomes). Data from the extraction tool were summarized using a narrative approach. Frequency of reported implementation strategies, outcomes, determinants, and theoretical frameworks are presented.

resultsRetrospective researcher extraction resulted in the representation of 69 of the 73 implementation strategies. An average of 13.8 strategies (± 9.1) were reported, programs ranged from zero to 41 strategies. The most common reported strategies included: conduct educational meetings, build a coalition, and promote adaptability. Individual implementation determinants and outcomes were not extracted due to the difficulty applying standardized definitions to the dataset and the limited implementation data. Most studies (75%) lacked a theoretical framework. DISCUSSION: Significant gaps exist in reporting implementation strategies, providing sufficient detail on how implementation projects are implemented, and researching implementation variables within diabetes prevention programs. Large implementation projects contained more implementation strategies and variables than small projects. The use of standardized tools for the extraction of implementation strategies, outcomes, and determinants was difficult due to insufficient detail provided in existing literature on how programs have been implemented and ambiguity in standardized tool definitions. To build the field of implementation science, researchers must report sufficient detail on how programs have been implemented and research implementation variables.

trial registrationThis systematic search and review was registered on Open Science Frameworks and can be accessed with this link: https://osf.io/cbzja .

Indexed as

Diabetes preventionImplementation determinantsImplementation outcomesImplementation scienceImplementation strategiesPrediabetic state

Identifiers

PMID40635098
PMCPMC12243291

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.