ArticleCurrent gerontology and geriatrics research2020
Creation and Implementation of a Large-Scale Geriatric Interprofessional Education Experience.
Article in Current gerontology and geriatrics research, 2020. 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.
- A scoping review of the changing landscape of geriatric medicine in undergraduate medical education: curricula, topics and teaching methods.European geriatric medicine · 2022Article
- [Interprofessional teaching in geriatrics : Overview of the international development in comparison to the current situation in Germany].Zeitschrift fur Gerontologie und Geriatrie · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The care of the older adult requires an interprofessional approach to solve complex medical and social problems, but this approach is difficult to teach in our educational silos. We developed an interprofessional educational session in response to national requests for innovative practice models that use collaborative interprofessional teams. We chose geriatric fall prevention as our area of focus as our development of the educational session coincided with the development of an interprofessional Fall Risk Reduction Clinic. Our aim of this study was to evaluate the number and type of students who attended a pilot and 10 subsequent educational sessions. We also documented the changes that occurred due to a Plan-Do-Study-Act (PDSA) rapid-cycle improvement model to modify our educational session. The educational session evolved into an online presession self-study didactic and in-person educational session with a poster/skill section, an interprofessional team simulation, and simulated patient experience. The simulated patient experience included an interprofessional fall evaluation, team meeting, and presentation to an expert panel. The pilot session had 83 students from the three sponsoring institutions (hospital system, university, and medical university). Students were from undergraduate nursing, nurse practitioner graduate program, pharmacy, medicine, social work, physical therapy, nutrition, and pastoral care. Since the pilot, 719 students have participated in various manifestations of the online didactic plus in-person training sessions. Ten separate educational sessions have been given at three different institutions. Survey data with demographic information were available on 524 participants. Students came from ten different schools and represented thirteen different health care disciplines. A large-scale interprofessional educational session is possible with rapid-cycle improvement, inclusion of educators from a variety of learning institutions, and flexibility with curriculum to accommodate learners in various stages of training.
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.