Evidence map›Paper›PMID 41205116›Full record

ArticleInternal and emergency medicine2026

Doctor-patient communication in community-dwelling patients with essential hypertension: a cross-sectional study.

Tao Liu, Hancheng Li, Minghao Xing, Yufeng Shu, Huizhen Zhou, Jingjia Yu, Weihong Jiang

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Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tao Liu *Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha City, 410000, Hunan Province, China.
Hancheng Li *Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha City, 410000, Hunan Province, China.
Minghao XingSchool of Public Health, Xiangya School of Medicine, Central South University, Changsha, China.
Yufeng ShuDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Huizhen ZhouDepartment of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha City, 410000, Hunan Province, China.
Jingjia YuDepartment of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha City, 410000, Hunan Province, China. yjj870129@126.com.
Weihong JiangDepartment of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha City, 410000, Hunan Province, China. jiangweihongdoc@163.com.ORCID http://orcid.org/0009-0002-4801-8552

Funding

The Hunan Provincial Health High-Level Talent Scientific Research Project NO. R2023028the National Key Clinical Specialty Scientific Research Project NO. Z2023128the Young Scientists Fund of Natural Science Foundation of Hunan Province 2023JJ40914
6 · The paper itself

Abstract

This study aimed to assess the doctor-patient communication among hypertensive patients in the context of community health service and chronicity of the disease, and to highlight which demographic and clinical factors may make this task less effective for the doctor. The study was conducted at two community hospitals in Changsha, China, from January 1 to November 1, 2024. Set Elicit Give Understand End (SEGUE) framework and a self-developed questionnaire were used to assess doctor-patient communication and hypertension-related content. Multivariable logistic regression was employed to analyze associated factors. We collected 546 valid questionnaires, primarily from elderly individuals with over 10 years of hypertension history. The average SEGUE score was 68.80 ± 16.17, with 70.7% of patients having suboptimal communication (SEGUE score < 80). Hypertension-related communication content between doctors and patients was considered insufficient. Only 65.6% of patients reported that doctors discussed the importance of medication for blood pressure control, and 22.0% reported that they were explained the potential side effects of their medication. Factors associated with worse doctor-patient communication included obesity (BMI > 28 kg/m

Indexed as

CommunicationEssential HypertensionIndependent LivingPhysician-Patient RelationsAgedChinaCross-Sectional StudiesFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesCross‑sectionalDoctor–patient communicationHypertensionSet Elicit Give Understand End

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.