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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 24, 2020
Date Accepted: Apr 12, 2020
Date Submitted to PubMed: Apr 24, 2020

The final, peer-reviewed published version of this preprint can be found here:

Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

Gimbel RW, Rennert LM, Crawford PF III, Little JR, Truong K, Williams JE, Griffin SF, Shi L, Chen L, Zhang L, Moss JB, Marshall RC, Edwards KW, Crawford KJ, Remploa-Hing M, Schmeltz A, Lumsden B, Ashby M, Haas E, Palazzo K

Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

J Med Internet Res 2020;22(5):e17968

DOI: 10.2196/17968

PMID: 32329438

PMCID: 7284404

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Enhancing Patient Activation and Self-Management Activities in Patients with Type 2 Diabetes using the U.S. Department of Defense Mobile Health Care Environment: A Feasibility Study

  • Ronald W. Gimbel; 
  • Lior M, Rennert; 
  • Paul F. Crawford III; 
  • Jeanette R. Little; 
  • Khoa Truong; 
  • Joel E. Williams; 
  • Sarah F. Griffin; 
  • Lu Shi; 
  • Liwei Chen; 
  • LingLing Zhang; 
  • Jennie B. Moss; 
  • Robert C. Marshall; 
  • Karen W. Edwards; 
  • Kristy J. Crawford; 
  • Marie Remploa-Hing; 
  • Amanda Schmeltz; 
  • Brandon Lumsden; 
  • Morgan Ashby; 
  • Elizabeth Haas; 
  • Kelly Palazzo

ABSTRACT

Background:

Past mHealth efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, remote collection of biometric data, electronic coaching, e-mail communication, and electronic collection of lifestyle information.

Objective:

To incorporate several of the most promising mHealth technologies aimed at enhancing patient activation and self-care for T2D patients. We aim to address underlying technology needs and gaps, while seeking to influence patient activation and self-care activities.

Methods:

A multi-site phased study, including a user-centered design and a controlled trial, was conducted within the U.S. Military Health System. Phase I assessed preferences regarding enhancement of the enabling technology for T2D self-management care. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the Mobile Health Care Environment (MHCE) intervention (n=123,received enabling mHealth technology and behavioral messages tailored to Patient Activation Measure® (PAM®) level at baseline or the control group (n=117, received equipment but not behavioral messaging, “intervention-lite”). Primary outcome measure was PAM® score. Secondary outcome measures included Summary of Diabetes Self-care Activities (SDSCA) scores and cardiometabolic outcomes. We used Generalized Equations of Estimation to estimate changes in outcomes.

Results:

At baseline, participants had mean age of 62.8 years, mean HbA1c of 7.5%, mean BMI of 32.7, mean duration of diabetes diagnosis of 9.8 years. The majority were male (59.8%). At month 12, the control group saw significantly greater improvements compared to the intervention group in PAM® score (control mean: 7.49, intervention mean: 1.77; P=.007), HbA1c (control mean: -0.53, intervention mean: -0.11; P=.006), and LDL cholesterol (control mean: -7.14, intervention mean: 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between group differences were not statistically significant. With the exception of patients with the highest level of activation (PAM® 4), all intervention group patients exhibited significant improvements in PAM® score. For patients with the lowest level of activation (PAM® 1), the intervention group saw significantly greater improvement compared to the control group in HbA1c (control mean: -0.09, intervention mean: -0.52; P=.04), BMI (control mean: 0.58, intervention mean: -1.22; P=.01), and HDL cholesterol levels (control mean: -4.86, intervention mean: 3.56; P<.001). Significant improvements were seen in PAM® score, SDSCA, and waist size for both groups, and diastolic and systolic blood pressure for the control group; between group differences were not statistically significant. Percentage of participants who were engaged with MHCE ≥ 50% of days in each time period was 60.7% (months 0-3), 57.4% (months 3-6), 49.5% (months 6-9), and 42.9% (months 9-12).

Conclusions:

Our study produced mixed results with improvement in PAM® scores and outcomes in both the intervention and control groups. Structural design issues may have hampered the influence of tailored behavioral messaging within the intervention group. Clinical Trial: ClinicalTrials.gov - NCT02949037. Registered October 31, 2016.


 Citation

Please cite as:

Gimbel RW, Rennert LM, Crawford PF III, Little JR, Truong K, Williams JE, Griffin SF, Shi L, Chen L, Zhang L, Moss JB, Marshall RC, Edwards KW, Crawford KJ, Remploa-Hing M, Schmeltz A, Lumsden B, Ashby M, Haas E, Palazzo K

Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

J Med Internet Res 2020;22(5):e17968

DOI: 10.2196/17968

PMID: 32329438

PMCID: 7284404

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