An Analysis of Traffic Accident Inpatients’ Health Services Utilization and Related Factors ─ Using Panel Claims Data of National Health Insurance Beneficiaries, 2004-2005
|Keywords:||道路交通事故;交通工具;醫療利用;全民健康保險;次級資料分析;traffic accidents;transportation vehicles;health care utilization;national health insurance;secondary data analysis||Issue Date:||2008||Abstract:||
Death caused by accidents is the fifth among the top ten leading causes of death in Taiwan, and the traffic accident is the most important one among all the accidents. This situation has made a great influence on the family suffering from the tragedy, and aggravating the social costs. The purpose of this study was to examine the health care utilization of inpatients who suffered from traffic accidents.n this research, the source of data came from panel claims data of the first to the fourth set of sampled registry of beneficiaries of National Health Insurance from 2004 to 2005. E-codes of ICD-9-CM as E810-E829 were selected from inpatient expenditure by admission. A total of 1,052 persons in hospitalization, 11,060 visits in ambulatory visit and sorted into 947 persons were identified in the final analysis. The major results of this research are as follow:he average hospitalizing medical expenses was 38,870.89 points. The average ambulatory care expense per outpatient visit was 952.40 points, 11,123.04 points per person. After aggregating the medical expenses of hospitalization and ambulatory care per person, the average medical expenses per person was 45,935.16 points.ultivariate regression analyses results indicated that hospitalizing medical expenses were associated with gender, age, contract category of providers and place of visits, while it was not associated with type of traffic vehicles. gender, age, traffic vehicles, contract category of providers and place of visits were also significantly associated with ambulatory care expenses per outpatient visit. When looking at ambulatory care expenses per person, total ambulatory care expenses were only significantly related to age after controlling other variables. The aggregation of medical expenses of hospitalization and ambulatory per person were only associated with age.uture researchers could use questionnaire in addition to secondary data analysis. This could not only get more complete relevant factors, such as drunk driving and living habits, but also could estimate the negative socioeconomic impact due to the loss of productivity.
|Appears in Collections:||健康政策與管理研究所|
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