Evidence map›Paper›PMID 38076324›Full record

ArticleThe Lancet regional health. Western Pacific2024

Quality in screening and measuring blood pressure in China's primary health care: a national cross-sectional study using unannounced standardized patients.

Lanping Zhang, Huijuan Liang, Huanyuan Luo, Wenjun He, Yiyuan Cai, Siyuan Liu, Yancun Fan, Wenxiu Huang, Qing Zhao, Dongmei Zhong and 6 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Lanping ZhangAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Huijuan LiangSchool of Health Management, Inner Mongolia Medical University, Hohhot, China.
Huanyuan LuoAcacia Lab for Implementation Science, Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou, China.
Wenjun HeAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Yiyuan CaiDepartment of Epidemiology and Health Statistics, School of Public Health, Guizhou Medical University, Guizhou Province, China.
Siyuan LiuAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Yancun FanSchool of Health Management, Inner Mongolia Medical University, Hohhot, China.
Wenxiu HuangErfenzi Township Health Center of Wuchuan County, Inner Mongolia, China.
Qing ZhaoCenter for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China.
Dongmei ZhongAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Jiaqi LiAcacia Lab for Implementation Science, School of Public Health, Southern Medical University, Guangzhou, China.
Sensen LvAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Chunping LiAcacia Lab for Implementation Science, School of Public Health, Southern Medical University, Guangzhou, China.
Yunyun XieAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Nan ZhangSchool of Health Management, Inner Mongolia Medical University, Hohhot, China.
Dong Roman XuAcacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: This study aims to evaluate primary care providers' adherence to the standard of measuring blood pressure for people aged 35 or above during their initial visit, as per Chinese guidelines, and to identify factors affecting their practices. Methods: We developed 11 standardized patients (SP) cases as tracer conditions to evaluate primary care, and deployed trained SPs for unannounced visits to randomly selected providers in seven provinces of China. The SPs used a checklist based on guidelines to record whether and how blood pressure was measured. Data were analyzed descriptively and regression analysis was performed to examine the association between outcomes and factors such as provider, patient, facility, and clinical case characteristics. Findings: The SPs conducted 1201 visits and found that less than one-third of USPs ≥35 had their blood pressure measured. Only 26.9% of migraine and 15.4% of diabetes cases received blood pressure measurements. Additionally, these measurements did not follow the proper guidelines and recommended steps. On average, 55.6% of the steps were followed with few providers considering influencing factors before measurement and only 6.0% of patients received both-arm measurements. The use of wrist sphygmomanometers was associated with poor blood pressure measurement. Interpretation: In China, primary care hypertension screening practices fall short of guidelines, with infrequent initiation of blood pressure measurements and inadequate adherence to proper measurement steps. To address this, priority should be placed on adopting, implementing, and upholding guidelines for hypertension screening and measurement. Funding: National Natural Science Foundation of China, Swiss Agency for Development and Cooperation, Doctoral Fund Project of Inner Mongolia Medical University, China Postdoctoral Science Foundation.

Indexed as

Blood pressure measurementHypertension screeningUnannounced standardized patients

Identifiers

PMID38076324
PMCPMC10701131

What OpenQuestion holds

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Registered trials

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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.