Evidence map›Paper›PMID 42365289›Full record

ArticleBMC health services research2026

Implementation barriers and facilitators of a virtual telehealth program for patients with persistently poorly controlled type 2 diabetes mellitus: a rapid qualitative analysis approach.

Connor D Drake, Tiera Lanford-Davey, Madeleine R Eldridge, Zoe E Waddell, Jashalynn German, Abigail Shapiro, Lucy Esteve, Priyanka Tejwani, Allison A Lewinski, Hayden B Bosworth and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2026. 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

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Connor D DrakeDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA. connor.drake@va.gov.
Tiera Lanford-DaveyDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Madeleine R EldridgeDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Zoe E WaddellDepartment of Population Health Sciences, Duke University School of Medicine, Durham, USA.
Jashalynn GermanDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Abigail ShapiroDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Lucy EsteveDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Priyanka TejwaniDepartment of Population Health Sciences, Duke University School of Medicine, Durham, USA.
Allison A LewinskiDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Hayden B BosworthDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
David EdelmanDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Karen SteinhauserDepartment of Population Health Sciences, Duke University School of Medicine, Durham, USA.
Leah L ZulligDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.
Matthew J CrowleyDurham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), 411 West Chapel Hill Street, Durham, NC, 27701, USA.

Funding

VA Virtual Care Core Associate Investigator Award
6 · The paper itself

Abstract

backgroundPersistently poorly controlled type 2 diabetes mellitus (PPDM) affects 10-15% of patients with diabetes and disproportionately contributes to morbidity, mortality, and expenditure. Unresponsive to standard outpatient treatment, PPDM requires intensified and comprehensive approaches that lend themselves to a telehealth delivery modality. Despite the recognized need for these types of comprehensive telehealth care models, little is known about factors that influence their implementation in real-world care settings. The objective of this study was to use a secondary qualitative analysis approach to understand implementation barriers and facilitators of a comprehensive virtual care program that has demonstrated superiority in comparison to standard telehealth for patients with PPDM.

methodsPatients (n = 19) and clinical and administrative staff (n = 8) participated in interviews to discuss their first-hand experience with implementation of comprehensive telehealth as part of a comparative effectiveness randomized controlled trial. Using the Health Equity Implementation Framework, we conducted a secondary analysis using rapid qualitative methods to identify factors that may influence the implementation of this approach into routine care delivery.

resultsThe comprehensive diabetes telehealth intervention complemented primary care goals to support diabetes self-management but required novel, complex patterns of communication with the existing care team. The approach was perceived as effective, but the intensity of the program introduced challenges with maintaining ongoing patient engagement. Adaptations related to standardizing provider training and integrating locally available resources and complementary programs may amplify the benefit of the approach to patients. Staffing the approach may require new clinical roles or substituting existing responsibilities to ensure sufficient capacity to deliver the approach with fidelity.

conclusionComprehensive diabetes telehealth intervention implementation is facilitated by using existing infrastructure and care team organization. Opportunities exist to improve fit of the program as part of routine delivery at scale. Findings have implications for the design of strategies to improve implementation efforts required to offer the program at scale to patients with PPDM. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Diabetes Mellitus, Type 2TelemedicineAgedDigital HealthFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchSelf CareDiabetes mellitusImplementation sciencePersistently poorly controlled type 2 diabetesQualitative researchSelf-managementTelehealthVirtual care

Identifiers

PMID42365289
PMCPMC13576126

What OpenQuestion holds

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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.