Evidence map›Paper›PMID 34457744›Full record

ArticleMedical science educator2020

Application of Case-Based Readiness Assurance Process as a Model for Case-Based Pedagogy and Collaborative Learning in Physiology.

Kirtana Raghurama Nayak, Dhiren Punja, Chinmay Ajit Suryavanshi, Asha Kamath

Abstract read
In one paragraph

Article in Medical science educator, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

4 authors.

Kirtana Raghurama NayakDepartment of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Dhiren PunjaDepartment of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Chinmay Ajit SuryavanshiDepartment of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Asha KamathDepartment of Statistics, PSPH, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The preclinical phase of the undergraduate medical curriculum has to embed clinically relevant learning experience to bridge basic sciences with clinical disciplines. Student-centric educational methods like the readiness assurance process of team-based learning promote active learning. In this study, we report our implementation of the case-based readiness assurance process (CBRAP) as a case-based strategy for introducing early clinical exposure in the preclinical phase of the undergraduate medical curriculum in India. Four CBRAPs with individual and group readiness assurance tests (IRAT and GRAT) were conducted in four different systems taught in physiology (hematology, muscle physiology, cardiovascular physiology, and renal physiology). The multiple-choice questions for CBRAP were specifically designed to test application and problem-solving by incorporating clinical vignettes with pathophysiology and lab findings. This study was designed to involve all 250 students from the first professional year. The GRAT scores were significantly more than mean IRAT scores in all four CBRAPs (

Indexed as

Active learningCase-based readiness assurance processCollaborative learningEarly clinical exposureUndergraduate medical education

Identifiers

PMID34457744
PMCPMC8368491

What OpenQuestion holds

Textmetadata
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.