[老年人可预防住院的风险概况:健康网络互操作性的挑战]。

Revista medica de Chile Pub Date : 2024-11-01 Epub Date: 2025-02-03 DOI:10.4067/s0034-98872024001101111
Melisa A Münzenmayer, Claudio A Méndez, Antonio Tejeda Altamirano, Victoria Espinosa F
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引用次数: 0

摘要

卫生研究小组通常在处理临床数据以确定易感人群的风险概况方面面临困难。目的:从2019年至2021年,利用智利首都地区南部都市卫生服务(SSMS)的综合医疗保健网络,生成老年患者可避免住院的风险概况。方法:本研究采用回顾性纵向描述性设计,对四家家庭健康中心和一家高度复杂的南方都市卫生服务(SMHS)医院的匿名临床数据库记录进行分析。TRACKCARE和RAYEN记录中2019-2021年的可用信息进行了清理和过滤,仅考虑感兴趣的ICD-10诊断。使用GraphPad Prism v5.0进行人口统计学和临床数据分析,采用描述性和推断性统计。结果:老年人中女性占57.2%,平均年龄74.2±7.2 (P= 0.0352);即使总样本的74%隶属于FONASA- b,男性和女性之间的FONASA部分分布概况也不同(P= 0.0002)。62.7%的人有单一的ICD-10诊断,大多数是高血压和心力衰竭(I10-I11),占诊断的34%。结论:尽管现有临床登记基础之间明显缺乏互操作性,但有可能确定65岁和更倾向于可避免住院的人群的社会人口学和临床概况。这是通过收集和清理南大都会卫生局和相关社区提供的不同信息来源的过程实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Risk Profile for Preventable Hospitalizations in Older Adults: Challenges for the Interoperability of Health Networks].

Health research teams routinely face difficulties processing clinical data to determine risk profiles in susceptible populations.

Aim: Generate a risk profile of avoidable hospitalizations in older adult patients using integrated healthcare networks of the Southern Metropolitan Health Service (SSMS) of the Metropolitan Region of Chile from 2019-2021.

Methods: The present research has a retrospective longitudinal descriptive design of anonymized clinical database records from four Family Health Centers and a high-complexity South Metropolitan Health Service (SMHS) hospital. The information available in TRACKCARE and RAYEN records for 2019-2021 was cleaned and filtered, considering only the ICD-10 diagnoses of interest. Demographic and clinical data analysis was performed with descriptive and inferential statistics using GraphPad Prism v5.0.

Results: 57.2% of older adults are women with an average age of 74.2 ± 7.2 (P= 0.0352). There is a different distribution profile of the FONASA section between men and women (P= 0.0002) even when 74% of the total sample is affiliated with FONASA-B. 62.7% have a single ICD-10 diagnosis, the majority being high blood pressure and heart failure (I10-I11), reaching 34% of diagnoses.

Conclusions: Despite the evident lack of interoperability between the available clinical registry bases, it was possible to identify a sociodemographic and clinical profile of people aged 65 years and more prone to avoidable hospitalizations. This is through a process of collection and cleansing from different sources of information available in the South Metropolitan Health Service and involved communities.

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