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利用电子健康记录了解老年人的多重疾病:一项范围综述

Using electronic health records to understand multimorbidity in older people: a scoping review.

作者信息

Smith Lucy, Simpson Glenn, Singh Neil, Wells Lucy, Dambha-Miller Hajira

机构信息

University of Southampton, Southampton, UK.

出版信息

Eur Geriatr Med. 2025 Jul 3. doi: 10.1007/s41999-025-01231-x.

Abstract

PURPOSE

The increasing availability of electronic health records (EHR), encompassing routinely collected general practice, hospital, and linked national census data, presents significant opportunities to enhance our understanding of multimorbidity at scale. However, the utility and clinical impact of EHR in advancing multimorbidity research, particularly concerning older adults who are disproportionately affected, remain unclear. This study aims to synthesise the literature on the use of EHR to investigate multimorbidity in individuals aged 65 years and older.

METHOD

We conducted a scoping review, performing literature searches across Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published from the inception of these databases until September 2024 were included if they investigated multimorbidity using EHR in individuals aged 65 years and older. The extracted data were synthesised using an iterative descriptive process.

RESULTS

A total of 753 studies were identified, with 46 meeting the eligibility criteria for inclusion. All studies originated from high-income countries, primarily the USA and Spain. Research focused on areas such as healthcare utilisation and costs, predictive modelling based on patient disease profiles, specific clustering models, relationships between multimorbidity and particular disease categories, aetiology, polypharmacy, and the accuracy of EHR. Reporting on data completeness, sociodemographic characteristics, and the inclusion of ethnic and social diversity within EHR datasets was notably limited.

CONCLUSIONS

The use of EHR to elucidate multimorbidity is expanding and holds substantial promise. However, enhanced reporting of data completeness and sociodemographic characteristics is essential to facilitate the effective translation of findings into real-world populations. Neglecting these aspects, risks exacerbating inequality gaps for individuals 65 years and older with multimorbidity.

摘要

目的

电子健康记录(EHR)的可得性日益增加,它涵盖了常规收集的全科医疗、医院以及关联的全国人口普查数据,这为大规模增进我们对多病共存的理解提供了重大机遇。然而,EHR在推进多病共存研究方面的效用和临床影响,尤其是对于受影响程度不成比例的老年人而言,仍不明确。本研究旨在综合关于使用EHR调查65岁及以上人群多病共存情况的文献。

方法

我们进行了一项范围综述,在Medline、Embase、CINAHL和Cochrane对照试验中央登记册中进行文献检索。如果研究使用EHR调查65岁及以上人群的多病共存情况,那么从这些数据库建立之初到2024年9月发表的研究都被纳入。提取的数据通过迭代描述性过程进行综合。

结果

共识别出753项研究,其中46项符合纳入标准。所有研究均来自高收入国家,主要是美国和西班牙。研究集中在医疗保健利用和成本、基于患者疾病概况的预测模型、特定聚类模型、多病共存与特定疾病类别之间的关系、病因学、多重用药以及EHR的准确性等领域。关于数据完整性、社会人口学特征以及EHR数据集中种族和社会多样性纳入情况的报告明显有限。

结论

使用EHR阐明多病共存的情况正在扩大且前景广阔。然而,加强数据完整性和社会人口学特征的报告对于促进将研究结果有效转化为实际人群至关重要。忽视这些方面,有可能加剧65岁及以上多病共存个体的不平等差距。

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