The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Formulating research questions for evidence-based studies
Open accessAbstract
Formulating a research question is a crucial step in directing any scientific study. The classical evidence-based approach to formulating a question uses the PICO framework, consisting of population, intervention, comparison, and outcome. However, the PICO framework is not suitable for formulating research questions in some types of evidence and studies. This paper reviews and summarizes different frameworks introduced for formulating research questions over time. For this purpose, we explore the complete application of the PICO framework, clarifying its flexibility and subtleties for various research designs. Also, this review navigates the complexities of creating research questions, clarifying the minor variations needed within the PICO framework for various study designs through a thorough analysis and synthesis of the existing literature. Clarifying these customized strategies is intended to assist researchers, physicians, and scholars in appropriately formulating questions, improving the strength and relevance of research findings throughout the scientific investigation spectrum.Top of Form
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n160 · Cited by 13,262
Wang, Y., Zhang, D., Du, G., Du, R., Zhao, J., Jin, Y., Fu, S., Gao, L., Cheng, Z., Lu, Q., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31022-9 · Cited by 3,440
The well-built clinical question: A key to evidence-based decisions
(1995) · ACP Journal Club · doi:10.7326/acpjc-1995-123-3-a12 · Cited by 2,931
Munn, Z., Stern, C., Aromataris, E., Lockwood, C., & Jordan, Z. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0468-4 · Cited by 1,164
Progress in evidence-based medicine: a quarter century on
Djulbegovic, B., & Guyatt, G. H. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31592-6 · Cited by 1,022
Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy
(2023) · doi:10.1002/9781119756194 · Cited by 757
Mózes, F. E., Lee, J. A., Selvaraj, E. A., Jayaswal, A. N. A., Trauner, M., Boursier, J., Fournier, C., Staufer, K., Stauber, R. E., Bugianesi, E., et al. (2022) · Gut · doi:10.1136/gutjnl-2021-324243 · Cited by 556
Series: Practical guidance to qualitative research. Part 2: Context, research questions and designs
Korstjens, I., & Moser, A. (2017) · European Journal of General Practice · doi:10.1080/13814788.2017.1375090 · Cited by 416
Hoffman, M. K., Goudar, S. S., Kodkany, B. S., Metgud, M., Somannavar, M., Okitawutshu, J., Lokangaka, A., Tshefu, A., Bose, C. L., Mwapule, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32973-3 · Cited by 360
A Qualitative Study of Primary Care Physicians’ Experiences With Telemedicine During COVID-19
Gomez, T., Anaya, Y. B., Shih, K. J., & Tarn, D. M. (2021) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2021.s1.200517 · Cited by 310
Cited by
Barriers to and facilitators of artificial intelligence adoption in health care: scoping review
Hassan, M., Kushniruk, A., & Borycki, E. (2024) · JMIR Human Factors · doi:10.2196/48633 · Cited by 435
Potential and pitfalls of romantic Artificial Intelligence (AI) companions: A systematic review
Ho, J. Q. H., Hu, M., Chen, T. X., & Hartanto, A. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100715 · Cited by 64
Nuuyoma, V., Mukerenge, N. F., & Kuugongelwa, S. (2025) · Nurse Education in Practice · doi:10.1016/j.nepr.2025.104575 · Cited by 3
Robleto, E., & Shehadeh, L. A. (2025) · American Journal of Physiology. Heart and Circulatory Physiology · doi:10.1152/ajpheart.00374.2025 · Cited by 2
Metadata
- Authors
- Hosseini, M.-S., Jahanshahlou, F., Akbarzadeh, M. A., Zarei, M., & Vaez-Gharamaleki, Y.
- Venue
- Journal of Medicine, Surgery, and Public Health
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 2
- Pages
- 100046
- ISSN
- 2949-916X (ISSN-L)
- OpenAlex
- W4390373082
- Cited by
- 316
- References
- 30
- FWCI
- 58.01
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Formulating research questions for evidence-based studies. https://app.cochat.ai/papers/10.1016/j.glmedi.2023.100046
- The paper
- Hosseini, M.-S., Jahanshahlou, F., Akbarzadeh, M. A., Zarei, M., & Vaez-Gharamaleki, Y. (2024). Formulating research questions for evidence-based studies. Journal of Medicine, Surgery, and Public Health. https://doi.org/10.1016/j.glmedi.2023.100046
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.