Evidence map›Paper›PMID 41244539›Full record

ArticlePakistan journal of medical sciences2025

Improving outcomes in Medical Education: A Study of Clinical Cardiovascular Module Performance at Al-Baha Faculty of Medicine.

Yasser Kofiah

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Yasser KofiahYasser Kofiah, Department of Surgery, Faculty of Medicine,Al-Baha University, Al-Baha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the factors that contributed to the improvement in Clinical Cardiovascular Module (CCVM) performance at Al-Baha Faculty of Medicine Al Baha University, Saudi Arabia. focusing on Progress Test (PT) results. Methodology: A retrospective observational study was conducted at Al- Baha Faculty of Medicine, Al Baha University, Saudi Arabia. Two methods were used, combining quantitative data analysis of PT results for CCVM component, with metrics such as average scores and year-wise performance which analyzed across two periods the initial Period 2018 to 2020 where performance was stagnant or declining and the Improvement Period 2021 to 2024 where performance was improving with qualitative data from faculty members and students through faculty interviews and student surveys to explore changes in teaching methods, curriculum reforms and student support systems. Results: From 2021 to 2024 shows a significant improvement specially in Year three in which the College Average increased from 22.51% in 2018 to 45.25% in 2022 and Year five the Overall Average also rose from 34.13% in 2018 to 47.46% in 2022. This progress in achievement was confirmed by Statistical analyses using Repeated Measures ANOVA that shows p < 0.001, Independent Samples t-test p = 0.002. Qualitative findings highlighted the impact of active learning strategies, integration and enhanced student support systems as the main drivers of improvement. Conclusion: curriculum reforms and innovative teaching methods as an intervention, improved student performance in CCVM. These findings are valuable for policymakers and medical educators to improve medical students' outcomes and prepare them for better clinical practice.

Indexed as

Curriculum ReformsLearning StrategiesProgress TestStudent Assessment

Identifiers

PMID41244539
PMCPMC12616324

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.