Multimorbidity research: where one size does not fit all.
作者信息
Head Anna, O'Flaherty Martin, Kypridemos Chris
机构信息
Department of Public Health, Policy, and Systems, University of Liverpool, Liverpool, UK.
出版信息
BMJ Med. 2024 Feb 28;3(1):e000855. doi: 10.1136/bmjmed-2024-000855. eCollection 2024.
Abstract
摘要
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本文引用的文献
1
Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study.使用基层医疗电子健康记录中的疾病编码频率来定义长期病症的时间框架和社会人口学因素对多重疾病患病率的影响：回顾性研究
BMJ Med. 2024 Feb 13;3(1):e000474. doi: 10.1136/bmjmed-2022-000474. eCollection 2024.
2
Age, sex, and socioeconomic differences in multimorbidity measured in four ways: UK primary care cross-sectional analysis.四种方法测量的英国初级保健横断面分析中的多病症的年龄、性别和社会经济差异。
Br J Gen Pract. 2023 Mar 30;73(729):e249-e256. doi: 10.3399/BJGP.2022.0405. Print 2023 Apr.
3
Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies.多种疾病患病率估计值的变化：193 项国际研究的系统评价和荟萃分析。
BMJ Open. 2022 Apr 29;12(4):e057017. doi: 10.1136/bmjopen-2021-057017.
4
Trends in the recording of anxiety in UK primary care: a multi-method approach.英国初级保健中焦虑记录的趋势：一种多方法研究。
Soc Psychiatry Psychiatr Epidemiol. 2022 Feb;57(2):375-386. doi: 10.1007/s00127-021-02131-8. Epub 2021 Jul 1.
5
Examining variation in the measurement of multimorbidity in research: a systematic review of 566 studies.考察研究中多重疾病测量的变化：566 项研究的系统评价。
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