Quality of reporting web-based and non-web-based survey studies: What authors, reviewers and consumers should consider
Open accessAbstract
BACKGROUND: Several influential aspects of survey research have been under-investigated and there is a lack of guidance on reporting survey studies, especially web-based projects. In this review, we aim to investigate the reporting practices and quality of both web- and non-web-based survey studies to enhance the quality of reporting medical evidence that is derived from survey studies and to maximize the efficiency of its consumption. METHODS: Reporting practices and quality of 100 random web- and 100 random non-web-based articles published from 2004 to 2016 were assessed using the SUrvey Reporting GuidelinE (SURGE). The CHERRIES guideline was also used to assess the reporting quality of Web-based studies. RESULTS: Our results revealed a potential gap in the reporting of many necessary checklist items in both web-based and non-web-based survey studies including development, description and testing of the questionnaire, the advertisement and administration of the questionnaire, sample representativeness and response rates, incentives, informed consent, and methods of statistical analysis. CONCLUSION: Our findings confirm the presence of major discrepancies in reporting results of survey-based studies. This can be attributed to the lack of availability of updated universal checklists for quality of reporting standards. We have summarized our findings in a table that may serve as a roadmap for future guidelines and checklists, which will hopefully include all types and all aspects of survey research.
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Comprehensive reporting guidelines for survey research are limited, and substantial variabilities and inconsistencies exist in the reporting of survey studies.
“Although many surveys have been published in high-impact journals, comprehensive reporting guidelines for survey research are limited 13, 14 and substantial variabilities and inconsistencies can be identified in the reporting of survey studies.”
From A Consensus-Based Checklist for Reporting of Survey Studies (CROSS) (2021) · cites this paper as [14]
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- Authors
- Turk, T., Elhady, M. T., Rashed, S., Abdelkhalek, M., Nasef, S. A., Khallaf, A. M., Mohammed, A. T., Attia, A. W., Adhikari, P., Amin, M. A., Hirayama, K., & Huy, N. T.
- Affiliations
- Damascus University (SY)
- Zagazig University (EG)
- Harvard University (US)
- Tanta University (EG)
- Cairo University (EG)
- Al-Azhar University (EG)
- Ain Shams University Hospital (EG)
- Gandaki Medical College (NP)
- Nagasaki University (JP)
- Ton Duc Thang University (VN)
- Corresponding author
- Huy, Nguyen Tien
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-06-18
- Volume
- 13
- Issue
- 6
- Pages
- e0194239
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC6005542
- OpenAlex
- W2809468890
- Cited by
- 81
- References
- 36
- Citations by year
- 2026: 15 · 2025: 11 · 2024: 5 · 2023: 10 · 2022: 9 · 2021: 19 · 2020: 9 · 2019: 3
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Institutional Repositories DataBase (IRDB) (submittedVersion, other-oa)
- Funders
- Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan (16H05844, 2016–2019)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- online surveys, reporting guidelines, questionnaire development, response rate, sample representativeness, informed consent, reporting checklist
- MeSH terms
- Humans, Evidence-Based Medicine, Internet, Data Mining
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