Consistency Between Administrative Health Records and Self-Reported Health Status and Health Care Use Among Indigenous Wayuu Health Insurance Enrollees: La Guajira, Colombia.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Aynslie Hinds, Beda Suárez Aguilar, Yercine Duarte Berrio, Dorian Ospina Galeano, John Harold Gómez Vargas, Valentina Espinosa Ruiz, Javier Mignone
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引用次数: 0

Abstract

The objective of the study was to assess the consistency between self-reported demographic characteristics, health conditions, and healthcare use, and administrative healthcare records, in a sample of enrollees of an Indigenous health organization in Colombia. We conducted a phone survey of a random sample of 2113 enrollees September-2020/February-2021. Administrative health records were obtained for the sample. Using ICD-10 diagnostic codes, we identified individuals who had healthcare visits for diabetes, hypertension, and/or pregnancy. Using unique identifiers, we linked their survey data to the administrative dataset. Agreement percentages and Cohen's Kappa coefficients were calculated. Logistic regressions were performed for each health condition/state. Results showed high degree of agreement between data sources for sex and age, similar rates for diabetes and hypertension, 10% variation for pregnancy. Kappa statistics were in the moderate range. Age was significantly associated with agreement between data sources. Sex, language, and self-rated health were significant for diabetes. This is the first study with data from an Indigenous population assessing the consistency between self-reported data and administrative health records. Survey and administrative data produced similar results, suggesting that Anas Wauu can be confident in using their data for planning and research purposes, as part of the movement toward data sovereignty.

行政健康记录与土著 Wayuu 健康保险参保者自我报告的健康状况和医疗保健使用情况之间的一致性:哥伦比亚拉瓜希拉。
本研究的目的是评估哥伦比亚一家土著医疗机构的样本参保者自我报告的人口特征、健康状况和医疗保健使用情况与行政医疗保健记录之间的一致性。我们于 2020 年 9 月/2021 年 2 月对 2113 名参保者进行了随机抽样电话调查。我们获得了样本的行政健康记录。通过 ICD-10 诊断代码,我们确定了因糖尿病、高血压和/或怀孕而就诊的个人。通过使用唯一标识符,我们将他们的调查数据与管理数据集进行了关联。我们计算了一致性百分比和科恩卡帕系数。对每种健康状况/状态进行了逻辑回归。结果显示,数据源之间在性别和年龄方面高度一致,在糖尿病和高血压方面的比率相似,在怀孕方面的差异为 10%。Kappa 统计量处于中等水平。年龄与数据源之间的一致性有很大关系。性别、语言和自我健康评价对糖尿病的影响显著。这是第一项利用土著居民数据评估自我报告数据与行政健康记录之间一致性的研究。调查和行政数据产生了相似的结果,这表明 Anas Wauu 可以放心地将其数据用于规划和研究目的,这也是数据主权运动的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
31
审稿时长
>12 weeks
期刊介绍: Evaluation & the Health Professions is a peer-reviewed, quarterly journal that provides health-related professionals with state-of-the-art methodological, measurement, and statistical tools for conceptualizing the etiology of health promotion and problems, and developing, implementing, and evaluating health programs, teaching and training services, and products that pertain to a myriad of health dimensions. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 31 days
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