HSR&D Study


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IIR 04-016
 
 
Self-Management of Osteoarthritis: A Tailored, Telephone-based Intervention
Kelli Dominick Allen PhD
Durham VA Medical Center
Durham, NC
Funding Period: April 2006 - March 2009

BACKGROUND/RATIONALE:
Osteoarthritis (OA) is the one of the most common chronic conditions among veterans, and over half of VA health care users with OA report being limited in their daily activities because of joint symptoms. However, studies have not examined interventions to improve outcomes or quality of care among the large and growing number of veterans with OA. Telephone-based self-management interventions may be a cost-effective way to improve pain, physical function, and other outcomes in this patient population.

OBJECTIVE(S):
The purpose of this study is to examine the effectiveness of a one-year telephone-based self-management intervention for veterans with hip or knee OA. The primary hypothesis is that the self-management intervention will result in a greater reduction in pain as compared to both usual care and attention control conditions.

METHODS:
This will be a randomized control trial of 519 veterans at the Durham VAMC who have radiographic evidence and a physician diagnosis of OA of the hip or knee. Participants will be equally allocated to self-management, attention control, and usual care groups. The self-management intervention is designed to provide participants with key information about OA and its treatment and to enhance participants' self-efficacy for managing OA-related symptoms. This intervention will involve provision of written, audio, and video educational materials, as well as monthly telephone calls by a nurse. The nurse will guide participants in developing personal OA-related goals, as well as specific plans for meeting these goals. Other strategies for enhancing self-effiacy will include modeling and mastery of self-management behaviors, persuasion to adopt these behaviors, and reinterpretation of OA symptoms. The attention control group will receive written materials on health screening related topics (not OA-related), and the nurse will call participants on a monthly basis to discuss these materials. The primary outcome measure for this study will be self-reported pain (Arthritis Impact Measurement-2 (AIMS2) subscale), and secondary outcomes will be self-reported function (AIMS2 subscale), affect (AIMS2 subscale), and arthritis specific self-efficacy. Outcomes will be measured at baseline and following the one-year study period. Analysis of covariance will be used to compare primary and secondary outcomes between the intervention group and each of the control groups, adjusting for baseline measures, participant demographic and clinical characteristics. We will also examine the cost-effectiveness of the intervention.

FINDINGS/RESULTS:
No results at this time. (All follow-up assessments have not yet been completed.)

IMPACT:
This study is significant because it examines a hightly prevalent but understudied chronic illness among veterans. In addition, this OA self-management program will contribute to the VA health care system's specific mission to improve pain management through patient education and participation. The proposed self-management intervention will be low-cost and easy to disseminate within the VA health care system. Therefore it may be an important tool for improving outcomes, especially pain, among many veterans with OA.

PUBLICATIONS:

Journal Articles

  1. Allen KD, Oddone EZ, Stock JL, Coffman CJ, Lindquist JH, Juntilla KA, Lemmerman DS, Datta SK, Harrelson ML, Weinberger M, Bosworth HB. The Self-Management of OsteoArthritis in Veterans (SeMOA) Study: design and methodology. Contemporary Clinical Trials. 2008; 29(4): 596-607.
Conference Presentations

  1. Bosworth H, Allen KD, Edelman D, Oddone EZ. Self-Management Interventions for Patients with Chronic Illness. HSR&D 2006 National Meeting: Special Network Director's Session. Arlington, VA 2006.


DRA: Aging and Age-Related Changes, Chronic Diseases, Health Services and Systems
DRE: Quality of Care, Treatment
Keywords: Pain, Self-care, Telemedicine
MeSH Terms: none