Yi-Hung Kuo1, Chong-Chi Chiu2,3, Li-Ya Tseng4, Chien-Hung Wu5, Min Hui Chen6, Yu-Chao Fang7, Wei-Chi Tseng8, Chun-Hsiang Chen7, Shu-Chuan Jennifer Yeh9,10, Hon-Yi Shi11,12,13,14. 1. Department of Nursing, Meiho University, Pingtung, Taiwan. 2. Department of General Surgery and Medical Research Department, E-Da Cancer Hospital, Kaohsiung, Taiwan. 3. School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan. 4. Department of Anesthesiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. 5. Department of Emergency Medicine, Yunlin Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Yunlin, Taiwan. 6. Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. 7. Department of Nursing, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. 8. Department of Nursing, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. 9. Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, Kaohsiung, 80708, Taiwan. 10. Department of Business Management, National Sun Yat-Sen University, Kaohsiung, Taiwan. 11. Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, Kaohsiung, 80708, Taiwan. hshi@kmu.edu.tw. 12. Department of Business Management, National Sun Yat-Sen University, Kaohsiung, Taiwan. hshi@kmu.edu.tw. 13. Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. hshi@kmu.edu.tw. 14. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan. hshi@kmu.edu.tw.
Abstract
BACKGROUND: Few studies have comprehensively and systematically analyzed nationwide samples. This study purposed to explore temporal trends and predictors of medical resource utilization and medical outcomes in these patients to obtain data that can be used to improve healthcare policies and to support clinical and administrative decision-making. METHODS: This study used nationwide population data contained in the Longitudinal Health Insurance Database of Taiwan. The 14,970 inguinal hernia repair patients were enrolled in this study (age range, 18-100 years) from 1997 to 2013 in Taiwan. After temporal trends analysis of demographic characteristics, clinical characteristics, and institutional characteristics, predictors of postoperative medical resource utilization and medical outcomes were evaluated through multiple linear regression analysis and Cox regression analysis. RESULTS: The prevalence of inguinal hernia repair per 100,000 population significantly decreased from 195.38 in 1997 to 39.66 in 2013 (p < 0.05). Demographic characteristics, clinical characteristics, and institutional characteristics were significantly associated with postoperative medical resource utilization and medical outcomes (p < 0.05). Of these characteristics, both surgeon volume and hospital volume had the strongest association. CONCLUSIONS: The inguinal hernia repair prevalence rate gradually decreased during the study period. Demographic characteristics, clinical characteristics, and institutional characteristics had strong associations with postoperative medical resource utilization and medical outcomes. Furthermore, hospital volume and surgeon volume had the strongest associations with postoperative medical resource utilization and medical outcomes. Additionally, providing the education needed to make the most advantageous medical decisions would be a great service not only to patients and their families, but also to the general population.
BACKGROUND: Few studies have comprehensively and systematically analyzed nationwide samples. This study purposed to explore temporal trends and predictors of medical resource utilization and medical outcomes in these patients to obtain data that can be used to improve healthcare policies and to support clinical and administrative decision-making. METHODS: This study used nationwide population data contained in the Longitudinal Health Insurance Database of Taiwan. The 14,970 inguinal hernia repair patients were enrolled in this study (age range, 18-100 years) from 1997 to 2013 in Taiwan. After temporal trends analysis of demographic characteristics, clinical characteristics, and institutional characteristics, predictors of postoperative medical resource utilization and medical outcomes were evaluated through multiple linear regression analysis and Cox regression analysis. RESULTS: The prevalence of inguinal hernia repair per 100,000 population significantly decreased from 195.38 in 1997 to 39.66 in 2013 (p < 0.05). Demographic characteristics, clinical characteristics, and institutional characteristics were significantly associated with postoperative medical resource utilization and medical outcomes (p < 0.05). Of these characteristics, both surgeon volume and hospital volume had the strongest association. CONCLUSIONS: The inguinal hernia repair prevalence rate gradually decreased during the study period. Demographic characteristics, clinical characteristics, and institutional characteristics had strong associations with postoperative medical resource utilization and medical outcomes. Furthermore, hospital volume and surgeon volume had the strongest associations with postoperative medical resource utilization and medical outcomes. Additionally, providing the education needed to make the most advantageous medical decisions would be a great service not only to patients and their families, but also to the general population.
Authors: Kryspin Mitura; Stanisław Dąbrowiecki; Maciej Śmietański; Andrzej Matyja Journal: Wideochir Inne Tech Maloinwazyjne Date: 2017-03-13 Impact factor: 1.195
Authors: Ivan David Lozada-Martinez; Jaime Enrique Covaleda-Vargas; Yuri Alexandra Gallo-Tafur; David Andrés Mejía-Osorio; Andrés Mauricio González-Pinilla; Mayra Alejandra Florez-Fajardo; Fabian Enrique Benavides-Trucco; Julio Cesar Santodomingo-Rojas; Nancy Karol Julieth Bueno-Prato; Alexis Rafael Narvaez-Rojas Journal: Ann Med Surg (Lond) Date: 2022-06-05