Evidence map›Paper›PMID 33061711›Full record

ArticleRisk management and healthcare policy2020

An Exploratory Study of the Use of the Electronic Health Records of Hypertensive Patients to Support the Primary Prevention of Stroke in Shanghai.

Tingting Yang, Fen Li, Bifan Zhu, Yuqian Chen, Duo Chen, Changying Wang, Zhiying Hou, Jiajie Xu, Shuwei Gu, Jiefeng Liu and 3 more

Abstract read
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Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Tingting Yang *School of Public Health/ Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China, Fudan University, Shanghai, People's Republic of China.
Fen Li *Shanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.
Bifan ZhuShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.ORCID 0000-0002-1468-1252
Yuqian ChenShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.
Duo ChenShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.
Changying WangShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.
Zhiying HouShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.
Jiajie XuShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.ORCID 0000-0003-2280-6868
Shuwei GuJiangxi University of Traditional Chinese Medicine, School of Economics and Management, Nanchang, Jiangxi, People's Republic of China.
Jiefeng LiuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, People's Republic of China.ORCID 0000-0002-6819-5479
Zhuochun WuSchool of Public Health/ Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China, Fudan University, Shanghai, People's Republic of China.
Ying WangSchool of Public Health/ Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China, Fudan University, Shanghai, People's Republic of China.
Chunlin JinShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe value of identifying and targeting population demographics at high risk of stroke based on patient-reported outcomes (PROs) with electronic health records (EHRs) in Shanghai is largely undiscovered.

aimTo test the hypothesis that establishing an evidence-based support system composed of PROs integrated with EHRs could be effective at identifying individuals at high risk of suffering from stroke.

methodsThe patients included in this study joined the hypertensive patient management system from 2014 to 2018. We merged the Hypertension Patients Management Database and the Diabetes Mellitus Patients Management Database of Shanghai Jiading district, then kept the hypertension patients with or without diabetes. We subsequently performed a screen analysis utilizing EHRs to target the population with any risk factor for stroke, namely, hypertension, diabetes mellitus, obesity, smoking and physical inactivity. We also calculated the distribution of each risk factor and the combinations of risk factors.

resultsIn the Jiading District of Shanghai, 46,580 hypertensive patients with complete baseline information joined the hypertensive patient management system from 2014 to 2018. The majority of the patients were aged above 60 years old. Physical inactivity (83.24%), smoking (24.07%), diabetes (16.87%), and obesity (12.23%) were highly prevalent in hypertensive participants. Approximately 4377 patients were diagnosed with hypertension exclusively, accounting for 9.70% of the total number of patients in this study. Meanwhile, approximately 52.47% of the patients were diagnosed with two concurrent risk factors, and 38.13% of the patients had hypertension, meaning that 17,762 patients could be labeled as the high-risk population for stroke according to the criteria established by the National Stroke Screening Survey.

conclusionOur exploratory findings demonstrate the feasibility of pinpointing and targeting populations at high risk of stroke using the EHRs of hypertensive patients.

Indexed as

EHRselectronic health recordshypertensionstroke risk factors

Identifiers

PMID33061711
PMCPMC7532068

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