ArticleCanadian journal of kidney health and disease2019
Content and Quality of Websites for Patients With Chronic Kidney Disease: An Environmental Scan.
Article in Canadian journal of kidney health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies.Public health nutrition · 2023Pooled it
- Person-Centered Integrated Kidney Care Narrative Review: A Model for Reduction of Health Care Carbon Emissions.Canadian journal of kidney health and disease · 2026Review
- Implementation and Evaluation of a Patient-Focused eHealth Intervention, My Kidneys My Health, in Primary Care and General Nephrology Clinics: Multimethods Study.Journal of medical Internet research · 2025Article
- Measuring person-centered integrated care for people living with mild to moderate chronic kidney disease and multimorbidity: a cross-sectional survey.Frontiers in health services · 2025Article
- Didactical characteristics of Dutch websites about kidney transplantation targeted for kidney patients and living donors: An exploratory study.PEC innovation · 2022Article
- Quality assessment of consumer-facing websites on sodium reduction.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- An evaluation of the quality of online perinatal depression information.BMC pregnancy and childbirth · 2022Article
- A Research Protocol for Implementation and Evaluation of a Patient-Focused eHealth Intervention for Chronic Kidney Disease.Global implementation research and applications · 2022Article
- A Web-Based Self-Management Support Prototype for Adults With Chronic Kidney Disease (My Kidneys My Health): Co-Design and Usability Testing.JMIR formative research · 2021Article
- Features of patient-education websites for patients with chronic kidney disease: an analysis of recommended websites.BMC nephrology · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough numerous websites for patients with chronic kidney disease (CKD) are available, little is known about their content and quality.
objectiveTo evaluate the quality of CKD websites, and the degree to which they align with information needs identified by patients with CKD.
methodsWe identified websites by entering "chronic kidney disease" in 3 search engines: Google.com (with regional variants for Australia, Canada, the United Kingdom, and the United States), Bing.com, and Yahoo.com. We included the first 50 unique English-language sites from each search. We evaluated website content using a 30-point scale comprising 8 priority content domains identified by patients with CKD (
resultsOf the 2093 websites identified, 115 were included. Overall, sites covered a mean (SD) of 29% (17.8) of the CKD content areas. The proportion of sites covering content related to
conclusionsAlthough many CKD web sites were of reasonable quality, their readability was poor. Furthermore, most sites covered less than 30% of the content patients identified as important for CKD self-management. These results will inform content gaps in internet-accessible information on CKD self-management that should be addressed by future eHealth web-based tools.
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Registered trials
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.