Evidence map›Paper›PMID 36287598›Full record

ArticleJournal of medical Internet research2022

Quality Assessment of Hypertension Treatment-Related Information on WeChat: Cross-sectional Study.

Yuting Yang, Mengchi Hou, Xue Gong, Rui Guo, Xing Lin Feng, Rui Tian

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  3. A multi-layer retrieval-augmented large language model framework for enhancing hypertension education.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

6 authors.

Yuting YangSchool of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0001-6077-8306
Mengchi HouChina Aerospace Science & Industry Corporation 731 Hospital, Beijing, China.ORCID 0000-0003-0453-7887
Xue GongSchool of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0002-5847-7034
Rui Guo *School of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0001-8147-2736
Xing Lin Feng *Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.ORCID 0000-0003-3588-1859
Rui Tian *Capital Medical University Library, Capital Medical University, Beijing, China.ORCID 0000-0002-2735-5712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe WeChat platform has become a primary source for medical information in China. However, no study has been conducted to explore the quality of information on WeChat for the treatment of hypertension, the leading chronic condition.

objectiveThis study aimed to explore the quality of information in articles on WeChat that are related to hypertension treatment from the aspects of credibility, concreteness, accuracy, and completeness.

methodsWe searched for all information related to hypertension treatment on WeChat based on several inclusion and exclusion criteria. We used 2 tools to evaluate information quality, and 2 independent reviewers performed the assessment with the 2 tools separately. First, we adopted the DISCERN instrument to assess the credibility and concreteness of the treatment information, with the outcomes classified into five grades: excellent, good, fair, poor, and very poor. Second, we applied the Chinese Guidelines for Prevention and Treatment of Hypertension (2018 edition) to evaluate the accuracy and completeness of the article information with regard to specific medical content. Third, we combined the results from the 2 assessments to arrive at the overall quality of the articles and explored the differences between, and associations of, the 2 independent assessments.

resultsOf the 223 articles that were retrieved, 130 (58.3%) full texts were included. Of these 130 articles, 81 (62.3%) described therapeutic measures for hypertension. The assessment based on the DISCERN instrument reported a mean score of 31.22 (SD 8.46). There were no articles rated excellent (mean score >63); most (111/130, 85.4%) of the articles did not refer to the consequences-in particular, quality of life-of no treatment. For specific medical content, adherence to the Chinese Guidelines for Prevention and Treatment of Hypertension was generally low in terms of accuracy and completeness, and there was much erroneous information. The overall mean quality score was 10.18 (SD 2.22) for the 130 articles, and the scores differed significantly across the 3 types (P=.03) and 5 sources (P=.02). Articles with references achieved higher scores for quality than those reporting none (P<.001). The results from the DISCERN assessment and the medical content scores were highly correlated (ρ=0.58; P<.001).

conclusionsThe quality of hypertension treatment-related information on the WeChat platform is low. Future work is warranted to regulate information sources and strengthen references. For the treatment of hypertension, crucial information on the consequences of no treatment is urgently needed.

Indexed as

HypertensionText MessagingAntihypertensive AgentsCross-Sectional StudiesHumansQuality of LifeAntihypertensive AgentsDISCERN instrumenthypertensionquality assessmentWeChat

Identifiers

PMID36287598
PMCPMC9647448

What OpenQuestion holds

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LicenceCC BY
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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.