Telephone-based self-management of osteoarthritis: A randomized trial.

dc.contributor.author

Allen, Kelli D

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Oddone, Eugene Z

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Coffman, Cynthia J

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Datta, Santanu K

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Juntilla, Karen A

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Lindquist, Jennifer H

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Walker, Tessa A

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Weinberger, Morris

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Bosworth, Hayden B

dc.date.accessioned

2024-02-01T20:18:28Z

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2024-02-01T20:18:28Z

dc.date.issued

2010-11

dc.description.abstract

Background

Osteoarthritis is a leading cause of pain and disability, and self-management behaviors for osteoarthritis are underutilized.

Objective

To examine the effectiveness of a telephone-based self-management intervention for hip or knee osteoarthritis in a primary care setting.

Design

Randomized clinical trial with equal assignment to osteoarthritis self-management, health education (attention control), and usual care control groups. (ClinicalTrials.gov registration number: NCT00288912)

Setting

Primary care clinics in a Veterans Affairs Medical Center.

Patients

515 patients with symptomatic hip or knee osteoarthritis.

Intervention

The osteoarthritis self-management intervention involved educational materials and 12 monthly telephone calls to support individualized goals and action plans. The health education intervention involved nonosteoarthritis educational materials and 12 monthly telephone calls related to general health screening topics.

Measurements

The primary outcome was score on the Arthritis Impact Measurement Scales-2 pain subscale (range, 0 to 10). Pain was also assessed with a 10-cm visual analog scale. Measurements were collected at baseline and 12 months.

Results

461 participants (90%) completed the 12-month assessment. The mean Arthritis Impact Measurement Scales-2 pain score in the osteoarthritis self-management group was 0.4 point lower (95% CI, -0.8 to 0.1 point; P = 0.105) than in the usual care group and 0.6 point lower (CI, -1.0 to -0.2 point; P = 0.007) than in the health education group at 12 months. The mean visual analog scale pain score in the osteoarthritis self-management group was 1.1 points lower (CI, -1.6 to -0.6 point; P < 0.001) than in the usual care group and 1.0 point lower (CI, -1.5 to -0.5 point; P < 0.001) than in the health education group. Health care use did not differ across the groups.

Limitation

The study was conducted at 1 Veterans Affairs Medical Center, and the sample consisted primarily of men.

Conclusion

A telephone-based osteoarthritis self-management program produced moderate improvements in pain, particularly compared with a health education control group.

Primary funding source

U.S. Department of Veterans Affairs Health Services Research and Development Service.
dc.identifier

153/9/570

dc.identifier.issn

0003-4819

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1539-3704

dc.identifier.uri

https://hdl.handle.net/10161/30104

dc.language

eng

dc.publisher

AMER COLL PHYSICIANS

dc.relation.ispartof

Annals of internal medicine

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10.7326/0003-4819-153-9-201011020-00006

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

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Osteoarthritis, Knee

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Osteoarthritis, Hip

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Pain

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Self Care

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Health Behavior

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Social Support

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Telephone

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Aged

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Middle Aged

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Costs and Cost Analysis

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Primary Health Care

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Female

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Male

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Patient Education as Topic

dc.title

Telephone-based self-management of osteoarthritis: A randomized trial.

dc.type

Journal article

duke.contributor.orcid

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

duke.contributor.orcid

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

pubs.begin-page

570

pubs.end-page

579

pubs.issue

9

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Duke

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School of Medicine

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Faculty

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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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Medicine

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Psychiatry & Behavioral Sciences

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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

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Duke - Margolis Center For Health Policy

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Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

153

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