ReviewJournal of family medicine and primary care2022
Global perspectives on trends in health higher education.
Review 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, 11 citations in OpenAlex.
- Mapping educational scholarship in a mixed-financing health system: a scoping review of health professions education research in Singapore.BMC medical education · 2026Article
- Factors influencing the availability of anesthesiologists: a scoping review.Human resources for health · 2025Article
- The Landscape of Medical Education Internationalization in Iran Through a Scientometrics Lens.Medical journal of the Islamic Republic of Iran · 2025Article
- Mapping the Landscape: A Systematic Review of Technology Trends in Medical Education and Competency Development.Advances in medical education and practice · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Today, changes in political and economic conditions, epidemiological and sociological developments, and the advancement of science and technology have necessitated the health and medical education systems to change. Therefore, we conducted a study entitled "Global perspectives on trends in higher education in healthcare," to improve the quality of healthcare so that it can be used as a model for predicting future events related to medical education. This futures study applied the social, technological, economical, ecological, political, values (STEEPV) model to identify and analyze the trends that affect medical education at different levels. To collect and analyze the data, a scoping review of the articles published from the year 2000 was conducted on the World Health Organization (WHO), Web of Science, Scopus, PubMed/MEDLINE, EMBASE, Science Direct, Google Scholar, EBSCO, and Cochrane databases. The review process was performed in five stages: 1- Determining the research question, 2- Identifying relevant studies, 3- Selecting the studies, 4- Charting the data, and 5- Analyzing data. The preferred reporting item for systematic review and meta-analysis (PRISMA) statement was used in the selection and screening of articles. A total of 213 articles were included in the study for qualitative synthesis. A total of 154 trends were identified using the STEEPV model at seven levels of health behaviors and patients, diseases and health problems, healthcare system, medical education system, medical education institutions, medical curricula, and teaching and learning. Considering the results of this study, it is possible to formulate proper and efficient future scenarios for the higher health education system. Also, it will be helpful for medical education policymaking.
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.