OBJECTIVE: To determine the ability of patient-reported health status information to predict physician-determined fit-for-work status for patients reporting complaints of low back pain. DESIGN: Cross-sectional study using survey methods. SETTING: Occupational medicine section of a large multispecialty private clinic. PATIENTS: Four hundred sixty-two questionnaire packets were distributed to patients who were seen for work-related conditions or disorders over a 13-week period; 235 questionnaires were returned (51% response rate). One hundred seven responders reported low back pain and completed the Low Back Pain TyPE (Technology of Patient Experience) Tool. The mean (+/- SD) age of respondents was 39 (+/- 12) years; 67% of respondents were male, 70% were white, 87% were receiving worker's compensation, 58% were married, and 55% had a high school education or less. INTERVENTIONS: Questionnaire packets for self-administration containing health/functional status questions (short form [SF]-36, COOP Charts) and the Low Back Pain TyPE Tool were distributed to the patients. Other variables were abstracted from the medical records and administrative databases. MAIN OUTCOME MEASURES: The primary study outcome measured was fitness for work; patients were examined and categorized as fit or not fit for work by physicians who were unaware of the questionnaire results. RESULTS: Logistic regression analysis consisted of variables from 107 patients who reported low back pain. The final model contained the physical functioning scale (SF-36), employment status, smoking status, and physical functioning (SF-36) by gender interaction. Seventy-seven percent of the fit-for-work cases and 90% of the not-fit-for-work cases were correctly classified. CONCLUSION: Patient-reported physical function (as modified by gender), smoking status, and employment status predicted physician-determined work status for patients reporting low back pain in this study. Larger studies will be required to confirm this finding.
OBJECTIVE: To determine the ability of patient-reported health status information to predict physician-determined fit-for-work status for patients reporting complaints of low back pain. DESIGN: Cross-sectional study using survey methods. SETTING: Occupational medicine section of a large multispecialty private clinic. PATIENTS: Four hundred sixty-two questionnaire packets were distributed to patients who were seen for work-related conditions or disorders over a 13-week period; 235 questionnaires were returned (51% response rate). One hundred seven responders reported low back pain and completed the Low Back Pain TyPE (Technology of Patient Experience) Tool. The mean (+/- SD) age of respondents was 39 (+/- 12) years; 67% of respondents were male, 70% were white, 87% were receiving worker's compensation, 58% were married, and 55% had a high school education or less. INTERVENTIONS: Questionnaire packets for self-administration containing health/functional status questions (short form [SF]-36, COOP Charts) and the Low Back Pain TyPE Tool were distributed to the patients. Other variables were abstracted from the medical records and administrative databases. MAIN OUTCOME MEASURES: The primary study outcome measured was fitness for work; patients were examined and categorized as fit or not fit for work by physicians who were unaware of the questionnaire results. RESULTS: Logistic regression analysis consisted of variables from 107 patients who reported low back pain. The final model contained the physical functioning scale (SF-36), employment status, smoking status, and physical functioning (SF-36) by gender interaction. Seventy-seven percent of the fit-for-work cases and 90% of the not-fit-for-work cases were correctly classified. CONCLUSION:Patient-reported physical function (as modified by gender), smoking status, and employment status predicted physician-determined work status for patients reporting low back pain in this study. Larger studies will be required to confirm this finding.