Evidence map›Paper›PMID 34784894›Full record

ArticleBMC geriatrics2021

Preparing a healthcare workforce for geriatrics care: an Interprofessional team based learning program.

Shelley B Bhattacharya, Stephen Jernigan, Myra Hyatt, Dory Sabata, Shane Johnston, Crystal Burkhardt

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Mental Health Care Training for an Aging Population: Envisioning the Future.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Shelley B BhattacharyaUniversity of Kansas Medical Center, School of Medicine, 3599 Rainbow Blvd, Kansas City, Missouri, 66160, USA. sbhattacharya@kumc.edu.ORCID 0000-0001-7785-6446
Stephen JerniganUniversity of Kansas Medical Center, School of Health Professions, 3901 Rainbow Blvd, Kansas City, Missouri, 66160, USA.
Myra HyattUniversity of Kansas Medical Center, School of Social Welfare, 3901 Rainbow Blvd, Kansas City, Missouri, 66160, USA.
Dory SabataUniversity of Kansas Medical Center, School of Health Professions, 3901 Rainbow Blvd, Kansas City, Missouri, 66160, USA.
Shane JohnstonUniversity of Kansas Medical Center, School of Medicine, 3599 Rainbow Blvd, Kansas City, Missouri, 66160, USA.
Crystal BurkhardtUniversity of Kansas, School of Pharmacy, 3901 Rainbow Blvd, Kansas City, Missouri, 66160, USA.
University of Kansas Medical Center · USUniversity of Kansas · US

Funding

HRSA HHS K01HP20492PI
6 · The paper itself

Abstract

backgroundImproving the care of older adults in our healthcare system involves teams working together. As the geriatrics population rises globally, health science learners need to be prepared to work collaboratively to recognize and treat common conditions in geriatrics. To enable workforce preparation, the Institute of Medicine and the National League for Nursing emphasize the need to implement interprofessional active learning activities for undergraduate healthcare learners at academic medical centers.

methodsThe Geriatrics Champions Program was a team-based learning activity created to meet this task. It was a 24-month program, repeated twice, that impacted 768 learners and 151 faculty from medicine, occupational therapy, physical therapy, nursing, social welfare, psychology, pharmacy and dietetics. Each class was intentionally divided into 20 interprofessional teams that met four times annually. Each session focused on one geriatrics domain. The objectives were centered around the specific geriatrics competencies for each health profession, divided into the eight domains written in the "American Geriatrics Society IM-FM Residency Competencies". Evaluation consisted of individual and team Readiness Assessment Tests (iRAT and tRAT). Surveys were also used to collect feedback using a Likert scale. Wilcoxon signed rank tests were used to compare iRAT and tRAT scores. Other analyses identified characteristics associated with tRAT performance group (Unpaired t-tests) and tRAT performance on the raw scale (Pearson correlation). Paired t-tests using a 7-level Likert Scale measured pre-post change in learner knowledge.

resultsStudent tRAT scores were 30% higher than iRAT scores (p < 0.001). Teams were more likely to score 100% on the initial tRAT attempt if more team members attended the current session (p < 0.001), more health professions were represented by team members in attendance (p = 0.053), and the team had a better track record of past attendance (p < 0.01). In the post-program evaluation, learners felt this program was helpful for their career preparation in interprofessional geriatrics care.

conclusionsLearners understood that teams performed better than individuals in the care of older adults. Feedback from the learners and faculty was consistently positive and learners felt better prepared for geriatrics care. The program's benefits may extend beyond individual sessions.

Indexed as

GeriatricsAgedDelivery of Health CareHealth PersonnelHumansInterprofessional RelationsPatient Care TeamProblem-Based LearningWorkforceGeriatrics careHealthcare systemsInterprofessional educationTeam based learningWorkforce preparation

Identifiers

PMID34784894
PMCPMC8594177
OpenAlexW3212737039

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.