4.4 Article

Understanding Primary Care Physicians' Treatment of Chronic Low Back Pain: The Role of Physician and Practice Factors

期刊

PAIN MEDICINE
卷 10, 期 7, 页码 1270-1279

出版社

WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1526-4637.2009.00717.x

关键词

Chronic Pain; Pain Treatment; Attitudes; Opioid Analgesics; Biopsychosocial; Primary Care

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Background. An increasing number of Operation Iraqi Freedom/Operation Enduring Freedom veterans experience chronic pain. Despite treatment guidelines, there is wide variation in physicians' approaches to pain treatment, and many physicians are unsure of the best treatment approach. Research has examined factors associated with opioid prescribing, but there is little information on physician characteristics that predict patterns of clinical responses to pain. Objectives. To identify patterns in primary care physicians' treatment decisions for nonmalignant chronic pain, and identify physician and practice characteristics that predict treatment decision patterns. Methods. A national sample of 381 primary care physicians who responded to a mailed vignette involving a veteran with chronic low back pain (LBP) were categorized into latent classes by clinical actions taken to treat the pain. The associations between newly derived treatment patterns and physician and practice characteristics were examined with multivariate models. Results. Latent class analysis identified three treatment approaches: 1) Multimodal/Aggressive (14%); 2) Low Action (38%); and 3) Psychosocial/Non-Opioid (48%). In a multivariate model, treatment pattern was associated with demographic and personality factors; opioid-related attitudes, beliefs, and concerns; perceptions of the patient; availability of resources; and practice characteristics. Conclusions. There may be distinct patterns in primary care physicians' responses to patients with chronic pain. Relatively few physicians use the multimodal approach endorsed by proponents of the biopsychosocial model of pain treatment. Several physician and practice characteristics predict patterns of clinical action.

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