Clinical trial NCT00987285: Linking Self-Management and Primary Care for Diabetes 2
Official title: Linking Self-Management and Primary Care for Diabetes
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Type 2 Diabetes Mellitus
Keywords: RE AIM model
Type 2 Diabetes Mellitus
Interactive voice recognition
Computer Assisted Self Management
Lead sponsor: Kaiser Permanente
Sponsor class: OTHER
Collaborators: name: National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
name: InterVision
name: Oregon Research Institute
First posted: 2009-09-30
Enrollment: 463
Sex: ALL
Minimum age (years): 25
Maximum age (years): 75
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: HEALTH_SERVICES_RESEARCH

Brief summary: This project is primarily a behavioral study. We employed a three-arm, patient-randomized practical effectiveness trial to evaluate the impact of two different interactive, multimedia self-management programs, relative to "enhanced" usual care. The two interventions will be (a) the revised program from our present study, based on our social-ecological theory and the 5 As self-management model, plus enhanced support (ASM+ES) that includes practical, but extensive, ongoing support and b) largely Automated Self-Management (ASM). These programs will be compared to a realistic "enhanced usual care" (UC) condition that will provide health risk appraisal feedback, control for computer interactions, and provide standardized advice on behavior change, but not the hypothesized key intervention processes of goal-setting, barriers identification, problem-solving, or social-environmental support. Patients will be randomized to conditions within clinic and will participate for 1 year.

The proposed project will test the effectiveness of a practical, automated-based intervention for primary care patients to facilitate dietary and physical activity practices, and medication-taking. Analyses will focus on primary outcomes of (a) dietary, physical activity, medication-taking outcomes, and (b) the UKPDS risk equation as well as secondary quality-of-life, patient-activation, and patient care outcomes (Specific Aim #2). Using the RE-AIM measures, we will analyze the reach, effectiveness, adoption, implementation, and maintenance of the intervention programs (Specific Aim #3), and also factors related to program implementation, linkage to primary care, and program success with emphasis on cost, cost-effectiveness, and mediators and moderators of outcomes such as social-environment support (Aim #4).

Primary hypotheses:

1. That the Automated Intervention received by Automated self-management (ASM) condition and ASM plus enhanced support conditions (ASM+ES) will be superior to usual care on the primary outcomes.
2. That the ASM+ES condition will be superior to the ASM alone condition on primary outcomes at the 12-month follow-up.


Eligibility criteria: Inclusion Criteria:

* Inclusion criteria:
* being 25-75 years of age,
* live independently,
* have a telephone,
* are able to read in either English or Spanish,
* able to access the Internet at least twice per week
* are capable of providing informed consent,
* have been diagnosed with type 2 diabetes for at least 1 year
* are overweight (BMI ≥ 25), and
* have at least one additional UKPDS equation risk factor (i.e., high lipids, hypertension, HbA1c, or smoking)

Exclusion Criteria:

* Exclusion criteria:
* Suffering dementia or active psychosis,
* Being on end-stage dialysis,
* or predicted to live fewer than 2 years
* Being institutionalized.
* Pregnant women - women with gestational diabetes will not be enrolled, because there needs are quite different, but we won't specifically exclude women who are pregnant AND otherwise eligible, since we do acknowledge that it's possible that someone may be unaware that they are pregnant at the time of enrollment, or may become pregnant during the study, and that this will not affect their continued participation.

Primary outcomes:
measure: Improvement in health behaviors (e.g., dietary patterns, physical activity, medication taking) and biologic outcomes (HbA1c, lipid ratio, blood pressure, and smoking status).
timeFrame: Baseline, 4 months and 12 months
Secondary outcomes:
measure: Diabetes-specific quality of life (Diabetes Distress Scale), patient activation (PAM scale), and perceived social-environmental support (the Chronic Illness Resources Survey) at 4- and 12-month follow-ups.
timeFrame: 4 and 12 months
Other outcomes:
Locations:
city: Denver
country: United States
facility: Kaiser Permanente of Colorado
state: Colorado
Study officials:
affiliation: Kaiser Permanente
name: Russell E Glasgow, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Glasgow, R.E., Nutting, P.A. (2004) Diabetes. Handbook of Primary Care Psychology. L. Haas (Editor) Oxford University Press, New York, pp 299-319.
citation: Glasgow RE, Bull SS, Piette JD, Steiner JF. Interactive behavior change technology. A partial solution to the competing demands of primary care. Am J Prev Med. 2004 Aug;27(2 Suppl):80-7. doi: 10.1016/j.amepre.2004.04.026.
citation: King, D.K., Glasgow, R.E. (2004) Self-management of Type 2 Diabetes: Key Issues, Evidence-Based Recommendations, and Future Directions. In: Best Practices in the Behavioral Management of Chronic Disease, J. Trafton & William Gordon (Eds.). Institute for Disease Management, Los Altos, CA, Vol 2, Chapter 9.
citation: Estabrooks PA, Nelson CC, Xu S, King D, Bayliss EA, Gaglio B, Nutting PA, Glasgow RE. The frequency and behavioral outcomes of goal choices in the self-management of diabetes. Diabetes Educ. 2005 May-Jun;31(3):391-400. doi: 10.1177/0145721705276578.
citation: Glasgow RE, Nelson CC, Strycker LA, King DK. Using RE-AIM metrics to evaluate diabetes self-management support interventions. Am J Prev Med. 2006 Jan;30(1):67-73. doi: 10.1016/j.amepre.2005.08.037.
citation: King DK, Estabrooks PA, Strycker LA, Toobert DJ, Bull SS, Glasgow RE. Outcomes of a multifaceted physical activity regimen as part of a diabetes self-management intervention. Ann Behav Med. 2006 Apr;31(2):128-37. doi: 10.1207/s15324796abm3102_4.
citation: Glasgow RE, Christiansen SM, Kurz D, King DK, Woolley T, Faber AJ, Estabrooks PA, Strycker L, Toobert D, Dickman J. Engagement in a diabetes self-management website: usage patterns and generalizability of program use. J Med Internet Res. 2011 Jan 25;13(1):e9. doi: 10.2196/jmir.1391.