https://scholars.lib.ntu.edu.tw/handle/123456789/495471
標題: | Non-attendance in endocrinology and metabolism patients | 作者: | FEN-YU TSENG | 公開日期: | 2010 | 出版社: | Elsevier B.V. | 卷: | 109 | 期: | 12 | 起(迄)頁: | 895-900 | 來源出版物: | Journal of the Formosan Medical Association | 摘要: | Background/Purpose: Non-attendance in outpatient clinics might disrupt medical care, interfere with outpatient clinic processing, and waste health service resources. This study was performed to identify predictive factors for non-attendance in endocrinology and metabolism (Endo/Meta) patients. Methods: Non-attendance was examined for a period of 6 months in Endo/Meta outpatient clinics in a medical center in Taiwan. Effects of physician, clinic, and patient characteristics, and appointment patterns in non-attendance were assessed by χ2 test and multivariate logistic regression. Results: During the study period, a total of 13,584 patients booked appointments for 609 Endo/Meta clinics managed by 11 specialists. The mean number of appointments per patient was 2.3 ± 1.1. The total number of registered visits was 31,143. The total number of non-attendances was 2272. The overall proportion of non-attendance in Endo/Meta patients was 7.3%. The proportion of non-attendance varied with different physician teaching status and on different weekdays. In multivariate logistic regression, physician age (p = 0.0009), physician teaching status (p = 0.0013), number of physician shifts per week (p < 0.0001), patient age (p < 0.0001), first-time appointment (p < 0.0001) and registration order in the clinic (p < 0.0001) had significant effects on non-attendance, whereas physician and patient sex, weekdays and daytimes of clinics had no significant effect on non-attendance. Conclusion: Determinants of non-attendance in Endo/Meta patients include older physician age, lower physician teaching status, number of physician shifts per week, younger patient age, first-time appointment, and later registration order in the clinic. Research on non-attendance should be applied to improve quality of medical care. Optimal ways to ensure attendance deserve further investigation. ? 2010 Elsevier & Formosan Medical Association. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951877755&doi=10.1016%2fS0929-6646%2810%2960136-2&partnerID=40&md5=532a2ae8447a9364ead329202347be2d https://scholars.lib.ntu.edu.tw/handle/123456789/495471 |
ISSN: | 0929-6646 | DOI: | 10.1016/S0929-6646(10)60136-2 | SDG/關鍵字: | adult; article; endocrinology; female; health insurance; human; major clinical study; male; medical care; metabolism; multivariate logistic regression analysis; outpatient; outpatient department; physician |
顯示於: | 醫學系 |
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