Evidence mapPaperPMID 38839396Full record

ArticleBMJ open quality2024

Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study.

Eva Tseng, Katherine Smith, Jeanne M Clark, Jodi B Segal, Jill A Marsteller, Nisa M Maruthur

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Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eva TsengJohns Hopkins University School of Medicine, Baltimore, Maryland, USA etseng3@jhmi.edu.ORCID http://orcid.org/0000-0003-4001-2869
Katherine SmithDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jeanne M ClarkJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jodi B SegalJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jill A MarstellerWelch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Nisa M MaruthurJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Design and Implementation of An Intervention to Improve Prediabetes Management in Primary CareK23DK118205 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Eva Tseng · 2022 to 2023
$397k
NIDDK NIH HHS K23 DK118205
6 · The paper itself

Abstract

backgroundPre-diabetes affects one-third of US adults and increases the risk of type 2 diabetes. Effective evidence-based interventions, such as the Diabetes Prevention Program, are available, but a gap remains in effectively translating and increasing uptake of these interventions into routine care.

methodsWe applied the Translating Research into Practice (TRiP) framework to guide three phases of intervention design and development for diabetes prevention: (1) summarise the evidence, (2) identify local barriers to implementation and (3) measure performance. In phase 1, we conducted a retrospective cohort analysis of linked electronic health record claims data to evaluate current practices in the management of pre-diabetes. In phase 2, we conducted in-depth interviews of 16 primary care physicians, 7 payor leaders and 31 patients to elicit common barriers and facilitators for diabetes prevention. In phase 3, using findings from phases 1 and 2, we developed the core elements of the intervention and performance measures to evaluate intervention uptake.

resultsIn phase 1 (retrospective cohort analysis), we found few patients with pre-diabetes received diabetes prevention interventions. In phase 2 (stakeholder engagement), we identified common barriers to include a lack of knowledge about pre-diabetes among patients and about the Diabetes Prevention Program among clinicians. In phase 3 (intervention development), we developed the START Diabetes Prevention Clinical Pathway as a systematic change package to address barriers and facilitators identified in phases 1 and 2, performance measures and a toolkit of resources to support the intervention components.

conclusionsThe TRiP framework supported the identification of evidence-based care practices for pre-diabetes and the development of a well-fitted, actionable intervention and implementation plan designed to increase treatment uptake for pre-diabetes in primary care settings. Our change package can be adapted and used by other health systems or clinics to target prevention of diabetes or other related chronic conditions.

Indexed as

Diabetes Mellitus, Type 2Primary Health CareTranslational Research, BiomedicalAdultAgedFemaleHumansMaleMiddle AgedPrediabetic StateQualitative ResearchRetrospective StudiesChronic disease managementDecision support, clinicalDIABETES MELLITUSImplementation sciencePRIMARY CARE

Identifiers

PMID38839396
PMCPMC11163602

What Socratic holds

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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 Socratic graph.