Evidence map›Paper›PMID 36590364›Full record

ArticleJournal of clinical and translational science2022

Exploring determinants and strategies for implementing self-management support text messaging interventions in safety net clinics.

Lyndsay A Nelson, McKenzie K Roddy, Erin M Bergner, Jesus Gonzalez, Chad Gentry, Lauren M LeStourgeon, Sunil Kripalani, Pamela C Hull, Lindsay S Mayberry

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Digital health equity frameworks and key concepts: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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

9 authors.

Lyndsay A NelsonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-7304-5643
McKenzie K RoddyQuality Scholars Program, VA Tennessee Valley Healthcare System, US Department of Veteran Affairs, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-4248-3560
Erin M BergnerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jesus GonzalezCollege of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Chad GentryDepartment of Pharmacy, College of Pharmacy and Health Sciences, Lipscomb University, Nashville, TN, USA.
Lauren M LeStourgeonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Sunil KripalaniDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Pamela C HullDepartment of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA.
Lindsay S MayberryDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Vanderbilt Scholars in T4 Translational Research (V-STTaR) ProgramK12HL137943 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL, ROUMIE, CHRISTIANNE L. · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137943
6 · The paper itself

Abstract

Background: Text message-delivered interventions for chronic disease self-management have potential to reduce health disparities, yet limited research has explored implementing these interventions into clinical care. We partnered with safety net clinics to evaluate a texting intervention for type 2 diabetes called REACH (Rapid Encouragement/Education And Communications for Health) in a randomized controlled trial. Following evaluation, we explored potential implementation determinants and recommended implementation strategies. Methods: We interviewed clinic staff (n = 14) and a subset of intervention participants (n = 36) to ask about REACH's implementation potential. Using the Consolidated Framework for Implementation Research (CFIR) as an organizing framework, we coded transcripts and used thematic analysis to derive implementation barriers and facilitators. We integrated the CFIR-ERIC (Expert Recommendations for Implementing Change) Matching Tool, interview feedback, and the literature to recommend implementation strategies. Results: Implementation facilitators included low complexity, strong evidence and quality, available clinic resources, the need for a program to support diabetes self-management, and strong fit between REACH and both the clinics' existing workflows and patients' needs and resources. The barriers included REACH only being available in English, a lack of interoperability with electronic health record systems, patients' concerns about diabetes stigma, limited funding, and high staff turnover. Categories of recommended implementation strategies included training and education, offering flexibility and adaptation, evaluating key processes, and securing funding. Conclusion: Text message-delivered interventions have strong potential for integration in low-resource settings as a supplement to care. Pursuing implementation can ensure patients benefit from these innovations and help close the research to practice gap.

Indexed as

behavioral interventionhealth disparitiesimplementationMobile healthtext messagingtype 2 diabetes

Identifiers

PMID36590364
PMCPMC9794969

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.