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


Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
09 2022
Historique:
received: 12 06 2021
accepted: 10 11 2021
pubmed: 5 1 2022
medline: 23 9 2022
entrez: 4 1 2022
Statut: ppublish

Résumé

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. 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. Mixed-methods implementation study. 230 patients with clinic-refractory, uncontrolled T2D. 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. Implementation was evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The primary effectiveness outcome was hemoglobin A1c (HbA1c). 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34981358
doi: 10.1007/s11606-021-07281-8
pii: 10.1007/s11606-021-07281-8
pmc: PMC8722663
doi:

Substances chimiques

Glycated Hemoglobin A 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

3080-3088

Subventions

Organisme : NINR NIH HHS
ID : R01 NR019594
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR002555
Pays : United States
Organisme : HSRD VA
ID : IK2 HX001514
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD012530
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA229425
Pays : United States
Organisme : HSRD VA
ID : IK6 HX003161
Pays : United States
Organisme : HSRD VA
ID : I50 HX003198
Pays : United States

Informations de copyright

© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Références

Engelgau MM, Geiss LS, Saaddine JB, et al. The evolving diabetes burden in the United States. Ann Intern Med. 2004;140(11):945-950.
pubmed: 15172919
Mainous AG, 3rd, King DE, Garr DR, Pearson WS. Race, rural residence, and control of diabetes and hypertension. Ann Fam Med. 2004;2(6):563-568.
pubmed: 15576542 pmcid: 1466748
O'Connor A, Wellenius G. Rural-urban disparities in the prevalence of diabetes and coronary heart disease. Public Health. 2012;126(10):813-820.
pubmed: 22922043
Strauss K, MacLean C, Troy A, Littenberg B. Driving distance as a barrier to glycemic control in diabetes. J Gen Intern Med. 2006;21(4):378-380.
pubmed: 16686817 pmcid: 1484707
Zgibor JC, Gieraltowski LB, Talbott EO, Fabio A, Sharma RK, Hassan K. The association between driving distance and glycemic control in rural areas. J Diabetes Sci Technol. 2011;5(3):494-500.
pubmed: 21722565 pmcid: 3192616
NEJM Catalyst. What Is Telehealth? https://catalyst.nejm.org/doi/full/10.1056/CAT.18.0268 . Published 2018. Accessed December 6, 2021.
Aburizik A, Dindo L, Kaboli P, Charlton M, Dawn K, Turvey C. A pilot randomized controlled trial of a depression and disease management program delivered by phone. J Affect Disord. 2013;151(2):769-774.
pubmed: 23871127
Faruque LI, Wiebe N, Ehteshami-Afshar A, et al. Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials. CMAJ. 2017;189(9):E341-E364.
pubmed: 27799615 pmcid: 5334006
Medical Advisory S. Home telemonitoring for type 2 diabetes: an evidence-based analysis. Ont Health Technol Assess Ser. 2009;9(24):1-38.
Medical Advisory S. Behavioural interventions for type 2 diabetes: an evidence-based analysis. Ont Health Technol Assess Ser. 2009;9(21):1-45.
Pimouguet C, Le Goff M, Thiebaut R, Dartigues JF, Helmer C. Effectiveness of disease-management programs for improving diabetes care: a meta-analysis. CMAJ. 2011;183(2):E115-127.
pubmed: 21149524 pmcid: 3033953
Patel SY, Mehrotra A, Huskamp HA, Uscher-Pines L, Ganguli I, Barnett ML. Trends in Outpatient Care Delivery and Telemedicine During the COVID-19 Pandemic in the US. JAMA Intern Med. 2021;181(3):388-391.
pubmed: 33196765
Glasgow RE, Lichtenstein E, Marcus AC. Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261-1267.
pubmed: 12893608 pmcid: 1447950
Green LW. From research to "best practices" in other settings and populations. Am J Health Behav. 2001;25(3):165-178.
pubmed: 11322614
Orlandi MA. Promoting health and preventing disease in health care settings: an analysis of barriers. Prev Med. 1987;16(1):119-130.
pubmed: 3823010
Milat AJ, King L, Bauman AE, Redman S. The concept of scalability: increasing the scale and potential adoption of health promotion interventions into policy and practice. Health Promot Int. 2013;28(3):285-298.
pubmed: 22241853
Andrews SM, Sperber NR, Gierisch JM, et al. Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes. Patient Prefer Adherence. 2017;11:469-478.
pubmed: 28424543 pmcid: 5344448
Crowley MJ, Edelman D, McAndrew AT, et al. Practical Telemedicine for Veterans with Persistently Poor Diabetes Control: A Randomized Pilot Trial. Telemed J E Health. 2016;22(5):376-384.
pubmed: 26540163
Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322-1327.
pubmed: 10474547 pmcid: 1508772
U.S. Department of Veterans Affairs. Office of Rural Health. https://www.ruralhealth.va.gov . Published 2020. Accessed Jan 9, 2020.
U.S. Department of Veterans Affairs. Rural Promising Practices - Office of Rural Health. https://www.ruralhealth.va.gov/providers/promising_practices.asp . Published 2019. Accessed Jan 9, 2021.
Crowley MJ, Bosworth HB, Coffman CJ, et al. Tailored Case Management for Diabetes and Hypertension (TEACH-DM) in a community population: study design and baseline sample characteristics. Contemp Clin Trials. 2013;36(1):298-306.
pubmed: 23916915
Crowley MJ, Powers BJ, Olsen MK, et al. The Cholesterol, Hypertension, And Glucose Education (CHANGE) study: results from a randomized controlled trial in African Americans with diabetes. Am Heart J. 2013;166(1):179-186.
pubmed: 23816038
American Diabetes A. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Suppl 1):S66-S76.
Jackson GL, Cutrona SL, White BS, et al. Merging Implementation Practice and Science to Scale Up Promising Practices: The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) Program. Jt Comm J Qual Patient Saf. 2021;47(4):217-227.
pubmed: 33549485
Nevedal AL, Reardon CM, Jackson GL, et al. Implementation and sustainment of diverse practices in a large integrated health system: a mixed methods study. Implement Sci Commun. 2020;1:61.
pubmed: 32885216 pmcid: 7427879
Vega R, Jackson GL, Henderson B, et al. Diffusion of Excellence: Accelerating the Spread of Clinical Innovation and Best Practices across the Nation's Largest Health System. Perm J. 2019;23.
Little RJA, Rubin DB. Statistical analysis with missing data. 2nd ed. Hoboken, N.J.: Wiley; 2002.
Malterud K, Siersma VD, Guassora AD. Sample Size in Qualitative Interview Studies: Guided by Information Power. Qual Health Res. 2016;26(13):1753-1760.
pubmed: 26613970
Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13:117.
pubmed: 24047204 pmcid: 3848812
Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol. 2008;8:45.
pubmed: 18616818 pmcid: 2478656
Averill JB. Matrix analysis as a complementary analytic strategy in qualitative inquiry. Qual Health Res. 2002;12(6):855-866.
pubmed: 12109729
Balas EA. From appropriate care to evidence-based medicine. Pediatr Ann. 1998;27(9):581-584.
pubmed: 9778710
Gilmer TP, O'Connor PJ, Manning WG, Rush WA. The cost to health plans of poor glycemic control. Diabetes Care. 1997;20(12):1847-1853.
pubmed: 9405905
McBrien KA, Manns BJ, Chui B, et al. Health care costs in people with diabetes and their association with glycemic control and kidney function. Diabetes Care. 2013;36(5):1172-1180.
pubmed: 23238665 pmcid: 3631826
Stratton IM, Adler AI, Neil HA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405-412.
pubmed: 10938048 pmcid: 27454
Crowley MJ, Holleman R, Klamerus ML, Bosworth HB, Edelman D, Heisler M. Factors associated with persistent poorly controlled diabetes mellitus: clues to improving management in patients with resistant poor control. Chronic Illn. 2014;10(4):291-302.
pubmed: 24567193 pmcid: 4317345
Davidson J. Strategies for improving glycemic control: effective use of glucose monitoring. Am J Med. 2005;118(Suppl 9A):27S-32S.
pubmed: 16224940
Hale NL, Bennett KJ, Probst JC. Diabetes care and outcomes: disparities across rural America. J Community Health. 2010;35(4):365-374.
pubmed: 20386968
Centers for Medicare & Medicaid Services. Medicare Telemedicine Health Care Provider Fact Sheet. https://www.cms.gov/newsroom/fact-sheets/medicare-telemedicine-health-care-provider-fact-sheet . Published 2020. Accessed December 6, 2021.
United States Department of Health & Human Services. Notification of Enforcement Discretion for Telehealth Remote Communications During the COVID-19 Nationwide Public Health Emergency.
Mann DM, Chen J, Chunara R, Testa PA, Nov O. COVID-19 transforms health care through telemedicine: Evidence from the field. J Am Med Inform Assoc. 2020;27(7):1132-1135.
pubmed: 32324855 pmcid: 7188161

Auteurs

Elizabeth A Kobe (EA)

Duke University School of Medicine, Durham, NC, USA.

Allison A Lewinski (AA)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
School of Nursing, Duke University School of Medicine, Durham, NC, USA.

Amy S Jeffreys (AS)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.

Valerie A Smith (VA)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Cynthia J Coffman (CJ)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

Susanne M Danus (SM)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.

Elisabeth Sidoli (E)

Western North Carolina Veteran Affairs Health Care System, Asheville, NC, USA.

Beth D Greck (BD)

Western North Carolina Veteran Affairs Health Care System, Asheville, NC, USA.

Leanne Horne (L)

VISN 19 Rocky Mountain Regional, Denver, CO, USA.

David R Saxon (DR)

Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
Division of Endocrinology, Rocky Mountain Veterans Affairs Medical Center, Aurora, CO, USA.

Susan Shook (S)

New Mexico Veteran Affairs Health Care System, University of New Mexico School of Medicine, Albuquerque, NM, USA.

Lina E Aguirre (LE)

New Mexico Veteran Affairs Health Care System, University of New Mexico School of Medicine, Albuquerque, NM, USA.

Mary G Esquibel (MG)

New Mexico Veteran Affairs Health Care System, University of New Mexico School of Medicine, Albuquerque, NM, USA.

Clarene Evenson (C)

Montana Veteran Affairs Health Care System, Kalispell, MT, USA.

Christopher Elizagaray (C)

Montana Veteran Affairs Health Care System, Kalispell, MT, USA.

Vivian Nelson (V)

Veterans Affairs Central Ohio Healthcare System, Columbus, OH, USA.

Amanda Zeek (A)

Veterans Affairs Central Ohio Healthcare System, Columbus, OH, USA.

William G Weppner (WG)

Division of General Internal Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Boise Veteran Affairs Medical Center, Boise, ID, USA.

Stephanie Scodellaro (S)

Boise Veteran Affairs Medical Center, Boise, ID, USA.

Cassie J Perdew (CJ)

Boise Veteran Affairs Medical Center, Boise, ID, USA.

George L Jackson (GL)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC, USA.

Karen Steinhauser (K)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.

Hayden B Bosworth (HB)

Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.

David Edelman (D)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Matthew J Crowley (MJ)

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA. matthew.crowley@duke.edu.
Division of Endocrinology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA. matthew.crowley@duke.edu.

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