Evidence map›Paper›PMID 35287762›Full record

ArticleClinical hypertension2022

Evaluation of the quality of online patient information at the intersection of complementary and alternative medicine and hypertension.

Jeremy Y Ng, Jane Jomy, Alexandra Vacca

Abstract read
In one paragraph

Article in Clinical hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. A multi-layer retrieval-augmented large language model framework for enhancing hypertension education.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
  3. Comparing ChatGPT and Bing, in response to the Home Blood Pressure Monitoring (HBPM) knowledge checklist.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  4. Review
  5. Article
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

3 authors.

Jeremy Y NgDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Discovery, Room 2112, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada. ngjy2@mcmaster.ca.ORCID http://orcid.org/0000-0003-0031-5873
Jane JomyDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Discovery, Room 2112, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.ORCID https://orcid.org/0000-0001-6066-9548
Alexandra VaccaDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Discovery, Room 2112, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension impacts 1.1 billion people globally; many patients seek complementary and alternative medicine (CAM), as a result of adverse side effects from antihypertensive medications or because they believe natural options are safer. The internet is increasingly playing a role in patient health information-seeking behavior, however, the variability of information quality across websites is unclear. Thus, the purpose of this study was to assess the quality of websites providing consumer health information at the intersection of hypertension and CAM.

methodsFour unique terms were searched on Google, across Australia, Canada, the US, and the UK. The first 20 webpages resulting from each search were screened for eligibility, and were included if they contained consumer health information relating to CAM therapies for the treatment/management of hypertension. To assess the quality of health information on eligible websites, we used the DISCERN instrument, a standardized quality index of consumer health information.

resultsOf 90 unique webpages, 40 websites were deemed eligible and quality assessed. The 40 eligible websites were classified into seven categories: professional (n = 15), news (n = 11), non-profit (n = 5), health portal (n = 3), commercial (n = 2), government (n = 1), and other (n = 3). The mean summed DISCERN score was 52.34 (standard deviation [SD] = 10.69) out of 75 and the mean overall score was 3.49 (SD = 0.08) out of 5. A total of 10 websites had a total DISCERN score of 60.00 and above with an average rating of 4.33. Among these, Medicine Net (69.00) and WebMD (69.00) were determined to have the highest quality information. Websites generally scored well with respect to providing their aims, identifying treatment benefits and options, and discussing shared-decision making; websites generally lacked references and provided inadequate information surrounding treatment risks and impact on quality of life.

conclusionsWhile some websites provided high-quality consumer health information, many others provided information of suboptimal quality. A need exists to better educate patients about identifying misinformation online. Healthcare providers should also inquire about their patients' health information-seeking behavior, and provide them with the guidance necessary to identify high-quality resources which they can use to inform shared-decision making.

Indexed as

Complementary therapiesConsumer health information / standardsHypertensionInformation services / standardsInternetPatient education as topic / standards

Identifiers

PMID35287762
PMCPMC8922809

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.