척추질환 환자의 삶의 질과 통증에 영향을 미치는 요인
The Determinants of the Quality of Life and Pain of Back Pain Patients
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Objectives: Because of the changing life style of Koreans, we have witnessed an increase of patients with back pain. The development of medical knowledge and technology has resulted in more numerous and better treatment methods. However, the outcomes of diverse treatments have been examined by using a few medicine-oriented measures like pain. This study aims at identifying the factors that influence the outcomes of back pain treatments by using two outcome measures (e.g., quality of life and pain). Methods: We used the questionnaire survey method for data collection. The questionnaires contained 5 categories (treatment methods, clinical conditions, exercise, quality of life and, socio-demographic characteristics). We interviewed 188 back pain patients. We used the regression analysis method to predict the quality of life or pain. Results: Surgery showed a statistically significant effect on the quality of life as well as pain. The illness period, age and exercise were turned out to be significant factors for both of the dependent variables. The social class and surgery methods showed a statistically significant effect solely on the quality of life. Conclusions: In choosing the surgical methods, doctors need to provide detailed explanations on the quality of life outcomes for each of the surgical methods to the patients.
Abstract
Objectives: Because of the changing life style of Koreans, we have witnessed an increase of patients with back pain. The development of medical knowledge and technology has resulted in more numerous and better treatment methods. However, the outcomes of diverse treatments have been examined by using a few medicine-oriented measures like pain. This study aims at identifying the factors that influence the outcomes of back pain treatments by using two outcome measures (e.g., quality of life and pain). Methods: We used the questionnaire survey method for data collection. The questionnaires contained 5 categories (treatment methods, clinical conditions, exercise, quality of life and, socio-demographic characteristics). We interviewed 188 back pain patients. We used the regression analysis method to predict the quality of life or pain. Results: Surgery showed a statistically significant effect on the quality of life as well as pain. The illness period, age and exercise were turned out to be significant factors for both of the dependent variables. The social class and surgery methods showed a statistically significant effect solely on the quality of life. Conclusions: In choosing the surgical methods, doctors need to provide detailed explanations on the quality of life outcomes for each of the surgical methods to the patients.
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