- 期刊
臺灣「健康餘命計算與解構資料庫」之建置介紹
Constructing the Calculation and Decomposition of Healthy Life Expectancy Datasets in Taiwan
摘要
目的：健康綜合指標的計算已成為國際趨勢，其中健康餘命是考量存活時的健康／失能狀態，可估算出健康存活的預期壽命。我國尚未有系統性的健康餘命計算與解構的分析資料，本研究針對需求建構「健康餘命計算與解構主題式資料庫」，本文將介紹建置過程、加值內容與應用。方法：利用我國內政部戶籍檔、衛生福利部死因統計檔、全民健康保險資料與國民健康訪問調查等資料，建置「健康效用檔」與「個人健康狀態檔」。結果：健康效用檔以國民健康訪問調查同意串聯健康資料之個案為對象，新增多種健康指標（如GALI、自覺健康、EQ-5D及SF-36效用值）、社經變項（含原住民族、教育程度註記）；再串聯個案當年健保資料，新增低收入戶與重要疾病註記。資料使用者可依研究目的，額外串聯原始健保資料及國民健康訪問調查。個人健康狀態檔為戶籍檔、死因統計檔、健保資料組成的歸人檔案，並新增社經變項（含低收入戶、投保資訊、原住民族、教育程度）、死亡變項、重要疾病註記。同樣地，資料使用者可額外串聯原始健保資料（含門急診、住院明細及醫令檔）。結論：本資料庫可結合方法學，快速計算我國健康餘命，並予以解構。資料庫含有多種社經及健康變項，可應用於探討族群健康或突顯健康不平等問題。
並列摘要
Purposes: The comprehensive health indicators have already been calculating worldwide. Among these indicators, healthy life expectancy (HLE) could measure health/disability status at survival and estimate the expected healthy life years. In Taiwan, there is no systematic data for calculating and decomposing HLE. According to the needs, our research team construct the ＂Calculation and Decomposition of Healthy Life Expectancy Datasets＂. This study will introduce the process of datasets construction, the definition of variables and the application of this datasets. Methods: The datasets include the ＂Health Utility Data＂ and ＂Individual Health Status Data＂ which are established from the Registry for Household Data published by the Ministry of Interior, the Cause of Death Data, National Health Insurance (NHI) claim data and National Health Interview Survey (NHIS) data published by the Ministry of Health and Welfare. Results: The Health Utility Data are based on the NHIS respondents who agreed to link his/her NHI claim data. Researchers created various health indicators (such as GALI, self-perceived health, EQ-5D and SF-36 health utility) and socio-economic variables (such as indigenous people and education level), then linked respondent's NHI claim data in order to mark those with low-income status and major disease. According to further purposes, data users could link the Health Utility Data to original NHI and NHIS data. The Individual Health Status Data, which data format is the individual data, are based on the Registry for Household Data, Cause of Death Data and NHI claim data. Researchers created socio-economic (such as low-income status, insurance status, indigenous people and education level), death and major disease related variables. Likewise, data users could link the Individual Health Status Data to original NHI claim data (including the ＂Ambulatory Care Expenditures by Visits Data＂, ＂Details of Ambulatory Care Orders Data＂, ＂Inpatient Expenditures by Admissions Data＂ and ＂Details of Inpatient Orders Data＂) according to further purposes. Conclusions: This datasets, which could be combined with methodology, calculate and decompose healthy life expectancy of Taiwan population quickly. The datasets contain various socio-economic and health variables, researchers could apply this datasets to examine population health or highlight health inequality problems.
參考文獻
延伸閱讀
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