Implementation of an Intensive Telehealth Intervention for Rural Patients with Clinic-Refractory Diabetes.

dc.contributor.author

Kobe, Elizabeth A

dc.contributor.author

Lewinski, Allison A

dc.contributor.author

Jeffreys, Amy S

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Smith, Valerie A

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Coffman, Cynthia J

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Danus, Susanne M

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Sidoli, Elisabeth

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Greck, Beth D

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Horne, Leanne

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Saxon, David R

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Shook, Susan

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Aguirre, Lina E

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Esquibel, Mary G

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Evenson, Clarene

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Elizagaray, Christopher

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Nelson, Vivian

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Zeek, Amanda

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Weppner, William G

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Scodellaro, Stephanie

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Perdew, Cassie J

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Jackson, George L

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Steinhauser, Karen

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Bosworth, Hayden B

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Edelman, David

dc.contributor.author

Crowley, Matthew J

dc.date.accessioned

2023-11-12T17:40:01Z

dc.date.available

2023-11-12T17:40:01Z

dc.date.issued

2022-09

dc.date.updated

2023-11-12T17:40:01Z

dc.description.abstract

Background

Rural patients with type 2 diabetes (T2D) may experience poor glycemic control due to limited access to T2D specialty care and self-management support. Telehealth can facilitate delivery of comprehensive T2D care to rural patients, but implementation in clinical practice is challenging.

Objective

To examine the implementation of Advanced Comprehensive Diabetes Care (ACDC), an evidence-based, comprehensive telehealth intervention for clinic-refractory, uncontrolled T2D. ACDC leverages existing Veterans Health Administration (VHA) Home Telehealth (HT) infrastructure, making delivery practical in rural areas.

Design

Mixed-methods implementation study.

Participants

230 patients with clinic-refractory, uncontrolled T2D.

Intervention

ACDC bundles telemonitoring, self-management support, and specialist-guided medication management, and is delivered over 6 months using existing VHA HT clinical staffing/equipment. Patients may continue in a maintenance protocol after the initial 6-month intervention period.

Main measures

Implementation was evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The primary effectiveness outcome was hemoglobin A1c (HbA1c).

Key results

From 2017 to 2020, ACDC was delivered to 230 patients across seven geographically diverse VHA sites; on average, patients were 59 years of age, 95% male, 80% white, and 14% Hispanic/Latinx. Patients completed an average of 10.1 of 12 scheduled encounters during the 6-month intervention period. Model-estimated mean baseline HbA1c was 9.56% and improved to 8.14% at 6 months (- 1.43%, 95% CI: - 1.64, - 1.21; P < .001). Benefits persisted at 12 (- 1.26%, 95% CI: - 1.48, - 1.05; P < .001) and 18 months (- 1.08%, 95% CI - 1.35, - 0.81; P < .001). Patients reported increased engagement in self-management and awareness of glycemic control, while clinicians and HT nurses reported a moderate workload increase. As of this submission, some sites have maintained delivery of ACDC for up to 4 years.

Conclusions

When strategically designed to leverage existing infrastructure, comprehensive telehealth interventions can be implemented successfully, even in rural areas. ACDC produced sustained improvements in glycemic control in a previously refractory population.
dc.identifier

10.1007/s11606-021-07281-8

dc.identifier.issn

0884-8734

dc.identifier.issn

1525-1497

dc.identifier.uri

https://hdl.handle.net/10161/29375

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Journal of general internal medicine

dc.relation.isversionof

10.1007/s11606-021-07281-8

dc.subject

Humans

dc.subject

Diabetes Mellitus, Type 2

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Telemedicine

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Rural Population

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Ambulatory Care Facilities

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Female

dc.subject

Male

dc.subject

Glycated Hemoglobin

dc.title

Implementation of an Intensive Telehealth Intervention for Rural Patients with Clinic-Refractory Diabetes.

dc.type

Journal article

duke.contributor.orcid

Lewinski, Allison A|0000-0002-1356-1857

duke.contributor.orcid

Smith, Valerie A|0000-0001-5170-9819

duke.contributor.orcid

Coffman, Cynthia J|0000-0002-4554-1463

duke.contributor.orcid

Bosworth, Hayden B|0000-0001-6188-9825

duke.contributor.orcid

Edelman, David|0000-0001-7112-6151

duke.contributor.orcid

Crowley, Matthew J|0000-0002-6205-4536

pubs.begin-page

3080

pubs.end-page

3088

pubs.issue

12

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

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School of Nursing

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Biostatistics & Bioinformatics

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Family Medicine and Community Health

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Medicine

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Psychiatry & Behavioral Sciences

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Medicine, Endocrinology, Metabolism, and Nutrition

pubs.organisational-group

Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Initiatives

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Duke Science & Society

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Population Health Sciences

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Duke Innovation & Entrepreneurship

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

pubs.organisational-group

Duke - Margolis Center For Health Policy

pubs.organisational-group

Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

37

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