ArticlePRiMER (Leawood, Kan.)2023
An Analysis of a Family Medicine Residency Program's Social Media Engagement During the 2021-2022 Match Cycle.
Article in PRiMER (Leawood, Kan.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Plastic Surgery Residency Program Instagram Engagement with Prospective Applicants: A Cohort Analysis in the United States.Archives of plastic surgery · 2026Article
- Using Social Media to Teach About and Engage Residents in Evidence-Based Medicine.Family medicine · 2024Article
- Leveraging Social Media for Recruiting Community Preceptors in Medical Education.PRiMER (Leawood, Kan.) · 2024Article
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
Introduction: The COVID-19 pandemic affected the 2021 and 2022 residency recruitment cycles. Many programs rapidly shifted their recruitment efforts to include a greater presence on social media (SoMe), assuming that applicants would use these avenues as supplemental sources of information. As this represents a deviation from traditional recruitment efforts, our research team sought to analyze social media trends during the 2021-2022 family medicine virtual Match. Methods: We obtained social media analytics from our program's Facebook, Instagram, and Twitter accounts to trend user engagement as well as sources of traffic to our program's website. Results: Our study shows the ratio of users reached per post correlated with Instagram and Twitter more than Facebook. The most users reached per post were in June, October, and February, corresponding to when Electronic Residency Application Service (ERAS) application opened, when interview invitations were mostly extended, and rank order list submission. GME website traffic sources revealed that Google was the greatest driver to our website, more than the three SoMe platforms combined. Discussion: Our findings suggest Instagram and Twitter engage more users per post compared to Facebook, and user engagement appeared more aligned with the Match cycle timeline than the number of posts generated. It is important to continue to explore effective ways for applicants and programs to engage with one another in the ongoing uncertainty of virtual interviewing.
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.