Probabilistic linkage in household survey on hospital care usage
Probabilistic linkage in household survey on hospital care usage
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DOI：
10.1590/s0034-89102003000100014
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发表时间：
2003-02-01
期刊：
影响因子：
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通讯作者：
Almeida, Liz Maria de
中科院分区：
文献类型：
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作者：
Coeli, Cláudia Medina;Blais, Régis;Almeida, Liz Maria de
目的评估潜在的优势和局限性，使用巴西医院入院授权表格数据库和概率记录链接方法的验证报告利用医院护理服务在家庭surveillance.MethodsA共2,288户进行了访谈，在县的杜克德卡希亚斯，巴西。从10，733名家庭成员中获得了关于在访谈前一年至少一次住院的信息。家庭成员报告至少有一个入院在公立医院的130个记录与医院数据库801,587记录，使用自动概率的方法结合了广泛的文书review.ResultsSeventy-four（57%）的130个家庭成员被确定在医院数据库。然而，在研究期间，只有60名受试者（46%）在医院数据库中显示了住院记录。在医院数据库中，因手术而住院的可能性更大。在研究中看到的低水平的一致性可以解释为以下因素：在链接过程中的错误;一个伸缩效应;结论医院管理数据库和概率联系方法的使用可能代表了一种方法学的替代方法，用于验证报告的卫生保健服务利用情况，但是应当采用一些策略以最小化与在非理想条件下使用该方法有关的问题。理想的情况是，数据库最好有一个单一的标识符，如个人健康保险号码，并具有普遍的覆盖面。
ObjectiveTo evaluate the potential advantages and limitations of the use of the Brazilian hospital admission authorization forms database and the probabilistic record linkage methodology for the validation of reported utilization of hospital care services in household surveys.MethodsA total of 2,288 households interviews were conducted in the county of Duque de Caxias, Brazil. Information on the occurrence of at least one hospital admission in the year preceding the interview was obtained from a total of 10,733 household members. The 130 records of household members who reported at least one hospital admission in a public hospital were linked to a hospital database with 801,587 records, using an automatic probabilistic approach combined with an extensive clerical review.ResultsSeventy-four (57%) of the 130 household members were identified in the hospital database. Yet only 60 subjects (46%) showed a record of hospitalization in the hospital database in the study period. Hospital admissions due to a surgery procedure were significantly more likely to have been identified in the hospital database. The low level of concordance seen in the study can be explained by the following factors: errors in the linkage process; a telescoping effect; and an incomplete record in the hospital database.ConclusionsThe use of hospital administrative databases and probabilistic linkage methodology may represent a methodological alternative for the validation of reported utilization of health care services, but some strategies should be employed in order to minimize the problems related to the use of this methodology in non-ideal conditions. Ideally, a single identifier, such as a personal health insurance number, and the universal coverage of the database would be desirable.