ArticleJournal of family medicine and primary care2022
Family medicine residents' knowledge and attitudes towards biostatistics, Taif, Kingdom of Saudi Arabia.
Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Distinct learner profiles of attitudes toward biostatistics in medical education: a latent profile analysis.BMC medical education · 2026Article
- Family Medicine Residents' Knowledge and Attitudes About End-of-Life Care in Taif City, Saudi Arabia.Cureus · 2023Article
- Effect of Hands-on Biostatistics Training on Postgraduate Nursing Students' Knowledge and Attitude at a Tertiary Care Institution, Sub-Himalayan Region: a quasi-experimental study.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
- Assessment of the impact of a structured training program on knowledge of research methodology among anesthesiology trainees at a tertiary referral cancer center.Perspectives in clinical researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: It is essential for practicing clinicians to have core knowledge of biostatistics. However, surveys indicated that clinicians' attitudes towards biostatistics are negative. Despite its importance, little is known about the knowledge of and attitudes towards statistics among trainees in family medicine, particularly in Saudi Arabia. The current investigation attempts to evaluate knowledge and attitudes held by family medicine trainees in Taif and explore their correlates. Materials and Methods: This was a descriptive, questionnaire-based, cross-sectional study of residents in family medicine training programme in Taif, Saudi Arabia. We used Poisson regression modelling to evaluate the effect of background factors on knowledge and attitudes towards biostatistics. Results: The study included 113 family medicine trainees at different levels of training. Only 36 (31.9%) of the participating trainees expressed positive attitudes towards biostatistics. On the other hand, 30 (26.5%) participating trainees were found to have good biostatistics knowledge, compared to 83 (73.5%) trainees whose knowledge level was found to be poor. Upon adjusting for all background factors simultaneously, only younger age, level R4 training, publishing one or three papers were found to be associated with poorer attitudes towards biostatistics. Older age was associated with worsening of attitudes (adjusted odds = 0.9900, Conclusion: The main finding of our current study is the poor level of knowledge and overtly negative attitudes held by family medicine trainees in Taif towards biostatics. Knowledge was particularly poor about advanced statistical concepts such as survival analysis and linear regression modelling. However, poor levels of knowledge about biostatistics could be a function of poor research productivity among family medicine trainees. Age, seniority in training and involvement in research also impacted positively on attitudes towards biostatistics. Therefore, it is recommended that the training curriculum for family medicine trainees should first cover essential biostatistics in a creative and accessible way and secondly encourage engagement research and publication from an early stage of training.
Indexed as
Identifiers
What OpenQuestion holds
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.