Purpose. This study uses the perceived value choice model to analyze the factors associated with patients' willingness to visit primary care clinics. The study also evaluates the applicability of the perceived value choice model to analyze patients' decisions to choose primary care clinics. Methods. Structured questionnaires were used to systematically interview 1148 outpatients randomly selected from health service organizations. Basic information about patients' opinions and assessments of services received from clinics was analyzed by descriptive statistics. Factors associated with the willingness of patients to visit clinics were identified using the ordinal logistic regression method. Results. We found that 36.1% of patients were very willing to visit primary care clinics, but that 15.1% were unwilling. When patients had minor illnesses or chronic diseases, the primary reasons for choosing primary care clinics were ”shorter waiting time” and ”shorter transportation time”; these factors belonged to sacrifice attributions. The perceived value model revealed that the three most important factors determining the quality of clinic care were the explanations given by physicians about the illnesses, cleanliness of the clinic and perceived knowledge and competence of the physician. The leading three factors with high patient satisfaction for clinic services were physician's manner and attitude, rapport between physicians and patients, and the physician's knowledge and competence. According to the results of the ordinal logistic regression model, after controlling for the related variables, only the patients' satisfaction with ”physician's knowledge” and ”competence” significantly affected patients' willingness to visit primary care clinics (p<0.05). Conclusion. The factors affecting the willingness of patients with minor illnesses to visit primary care clinics were sacrifice attributions. However, when patients visited the clinic, the most important service factors were quality attributions rather than sacrifice attributions.
Purpose. This study uses the perceived value choice model to analyze the factors associated with patients' willingness to visit primary care clinics. The study also evaluates the applicability of the perceived value choice model to analyze patients' decisions to choose primary care clinics. Methods. Structured questionnaires were used to systematically interview 1148 outpatients randomly selected from health service organizations. Basic information about patients' opinions and assessments of services received from clinics was analyzed by descriptive statistics. Factors associated with the willingness of patients to visit clinics were identified using the ordinal logistic regression method. Results. We found that 36.1% of patients were very willing to visit primary care clinics, but that 15.1% were unwilling. When patients had minor illnesses or chronic diseases, the primary reasons for choosing primary care clinics were ”shorter waiting time” and ”shorter transportation time”; these factors belonged to sacrifice attributions. The perceived value model revealed that the three most important factors determining the quality of clinic care were the explanations given by physicians about the illnesses, cleanliness of the clinic and perceived knowledge and competence of the physician. The leading three factors with high patient satisfaction for clinic services were physician's manner and attitude, rapport between physicians and patients, and the physician's knowledge and competence. According to the results of the ordinal logistic regression model, after controlling for the related variables, only the patients' satisfaction with ”physician's knowledge” and ”competence” significantly affected patients' willingness to visit primary care clinics (p<0.05). Conclusion. The factors affecting the willingness of patients with minor illnesses to visit primary care clinics were sacrifice attributions. However, when patients visited the clinic, the most important service factors were quality attributions rather than sacrifice attributions.