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

dc.contributor.authorNelson, Lyndsay A.
dc.contributor.authorRoddy, McKenzie K.
dc.contributor.authorBergner, Erin M.
dc.contributor.authorGonzalez, Jesus
dc.contributor.authorGentry, Chad
dc.contributor.authorLeStourgeon, Lauren M.
dc.contributor.authorKripalani, Sunil
dc.contributor.authorHull, Pamela C.
dc.contributor.authorMayberry, Lindsay S.
dc.date.accessioned2023-01-24T22:10:19Z
dc.date.available2023-01-24T22:10:19Z
dc.date.issued2022-11-15
dc.identifier.citationNelson LA, Roddy MK, Bergner EM, Gonzalez J, Gentry C, LeStourgeon LM, Kripalani S, Hull PC, and Mayberry LS. Exploring determinants and strategies for implementing self-management support text messaging interventions in safety net clinics. Journal of Clinical and Translational Science 6: e126, 1–9. doi: 10.1017/cts.2022.503en_US
dc.identifier.othereISSN 2059-8661
dc.identifier.otherPubMed ID36590364
dc.identifier.urihttp://hdl.handle.net/1803/17946
dc.description.abstractBackground: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.en_US
dc.language.isoen_USen_US
dc.publisherJournal Of Clinical And Translational Scienceen_US
dc.rights© The Author(s), 2022. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/ by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited
dc.source.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:000903013100001
dc.subjectMobile healthen_US
dc.subjecttext messagingen_US
dc.subjectimplementationen_US
dc.subjectbehavioral interventionen_US
dc.subjecttype 2 diabetesen_US
dc.subjecthealth disparitiesen_US
dc.titleExploring determinants and strategies for implementing self-management support text messaging interventions in safety net clinicsen_US
dc.typeArticleen_US
dc.identifier.doi10.1017/cts.2022.503


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