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題名 Application of frequent itemsets mining to analyze patterns of one-stop visits in Taiwan 作者 Tu,Chun-Yi; Chen,Tzeng-Ji;Chou,Li-Fang 貢獻者 政大財政系 日期 2011-07 上傳時間 26-Aug-2013 16:10:17 (UTC+8) 摘要 Background: The free choice of health care facilities without limitations on frequency of visits within the National Health Insurance in Taiwan gives rise to not only a high number of annual ambulatory visits per capita but also a unique “one-stop shopping”phenomenon, which refers to a patient` visits to several specialties of the same healthcare facility in one day. The visits to multiple physicians would increase the potential risk of polypharmacy. The aim of this study was to analyze the frequency and patterns of one-stop visits in Taiwan. Methodology/Principal Findings: The claims datasets of 1 million nationally representative people within Taiwan`s National Health Insurance in 2005 were used to calculate the number of patients with one-stop visits. The frequent itemsets mining was applied to compute the combination patterns of specialties in the one-stop visits. Among the total 13,682,469 ambulatory care visits in 2005, one-stop visits occurred 144,132 times and involved 296,822 visits (2.2% of all visits) by 66,294 (6.6%) persons. People tended to have this behavior with age and the percentage reached 27.5% (5,662 in 20,579) in the age group ≥80 years. In general, women were more likely to have one-stop visits than men (7.2% vs. 6.0%). Internal medicine plus ophthalmology was the most frequent combination with a visited frequency of 3,552 times (2.5%), followed by cardiology plus neurology with 3,183 times (2.2%). The most frequent three-specialty combination, cardiology plus neurology and gastroenterology, occurred only 111 times. Conclusions/Significance: Without the novel computational technique, it would be hardly possible to analyze the extremely diverse combination patterns of specialties in one-stop visits. The results of the study could provide useful information either for the hospital manager to set up integrated services or for the policymaker to rebuild the health care system. 關聯 PLoS ONE, 6(7), e14824 資料類型 article DOI http://dx.doi.org/10.1371/journal.pone.0014824 dc.contributor 政大財政系 en_US dc.creator (作者) Tu,Chun-Yi; Chen,Tzeng-Ji;Chou,Li-Fang en_US dc.date (日期) 2011-07 en_US dc.date.accessioned 26-Aug-2013 16:10:17 (UTC+8) - dc.date.available 26-Aug-2013 16:10:17 (UTC+8) - dc.date.issued (上傳時間) 26-Aug-2013 16:10:17 (UTC+8) - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/59132 - dc.description.abstract (摘要) Background: The free choice of health care facilities without limitations on frequency of visits within the National Health Insurance in Taiwan gives rise to not only a high number of annual ambulatory visits per capita but also a unique “one-stop shopping”phenomenon, which refers to a patient` visits to several specialties of the same healthcare facility in one day. The visits to multiple physicians would increase the potential risk of polypharmacy. The aim of this study was to analyze the frequency and patterns of one-stop visits in Taiwan. Methodology/Principal Findings: The claims datasets of 1 million nationally representative people within Taiwan`s National Health Insurance in 2005 were used to calculate the number of patients with one-stop visits. The frequent itemsets mining was applied to compute the combination patterns of specialties in the one-stop visits. Among the total 13,682,469 ambulatory care visits in 2005, one-stop visits occurred 144,132 times and involved 296,822 visits (2.2% of all visits) by 66,294 (6.6%) persons. People tended to have this behavior with age and the percentage reached 27.5% (5,662 in 20,579) in the age group ≥80 years. In general, women were more likely to have one-stop visits than men (7.2% vs. 6.0%). Internal medicine plus ophthalmology was the most frequent combination with a visited frequency of 3,552 times (2.5%), followed by cardiology plus neurology with 3,183 times (2.2%). The most frequent three-specialty combination, cardiology plus neurology and gastroenterology, occurred only 111 times. Conclusions/Significance: Without the novel computational technique, it would be hardly possible to analyze the extremely diverse combination patterns of specialties in one-stop visits. The results of the study could provide useful information either for the hospital manager to set up integrated services or for the policymaker to rebuild the health care system. en_US dc.language.iso en_US - dc.relation (關聯) PLoS ONE, 6(7), e14824 en_US dc.title (題名) Application of frequent itemsets mining to analyze patterns of one-stop visits in Taiwan en_US dc.type (資料類型) article en dc.identifier.doi (DOI) 10.1371/journal.pone.0014824 en_US dc.doi.uri (DOI) http://dx.doi.org/10.1371/journal.pone.0014824 en_US
