ReviewFamily medicine2026
Overview of Quantitative Research.
Review in Family medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- The Science and Art of Mixed Methods in Medical Education Research.Family medicine · 2026Article
- Embedding laboratory animal welfare- and ethics-related techniques into a comparative medicine laboratory course: an educational reform study.Frontiers in veterinary science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative research helps medical educators and researchers use data to understand and improve learning, teaching, and program outcomes. Applying statistical methods to summarize and compare results makes it possible to measure change, identify patterns, and evaluate educational efforts, such as new curricula, wellness initiatives, or assessment of programs. This article introduces key ideas for using quantitative methods effectively in medical and family medicine education, including how research questions connect to study design, common approaches such as experimental, quasi-experimental, and correlational studies, and practical ways to collect data through surveys, observations, or existing records. Examples from medical education illustrate how these methods can be used to evaluate programs, describe learner progress, and test innovations. The paper also outlines common challenges-such as drawing broad conclusions from small samples, confusing association with cause, or using measures that do not fully capture what is intended-and offers strategies to address these problems. The paper aims to help clinician-educators apply quantitative methods with greater confidence and clarity.
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.