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.
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 painpatients. 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.