Evidence map›Paper›PMID 41088169›Full record

ArticleBMC medical education2025

The impact of structured assessment attempts and instructor feedback on clinical competency development in dental assistant training.

Ranya F Elemam, Heba M Abdelaal

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Ranya F ElemamRestorative Dental Science Department, College of Dentistry, Gulf Medical University, Ajman, United Arab Emirates. dr.ranya@gmu.ac.ae.
Heba M AbdelaalRestorative Dental Science Department, College of Dentistry, Gulf Medical University, Ajman, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis research investigated the effectiveness of a structured three-attempt formative assessment model combined with instructor feedback in improving clinical competency among first-semester dental assistant diploma students.

methodsTen dental assistant students underwent repeated assessment attempts across eight operative and endodontic procedures during the Fall 2023 semester of the Dental Assistant Diploma program. After each attempt, students were given performance feedback reinforcing elements they performed well, and guiding their improvement in areas that were less well executed. Outcomes across the three attempts were then compared to determine if repeated feedback was associated with improved performance over time.

resultsStudent progress with this structured feedback approach was associated with significant and consistent improvement of performance scores across the three assessments (F = 577.74; p < 0.000), along with universally high logbook grades across students and a 100% pass rate in the final competency exam. Statistical analysis revealed a strong correlation (Pearson's r = 0.94, p < 0.000) between logbook scores and final competency exam scores, which is notable given these two assessment types were conducted by independent examiners.

conclusionsThese findings suggest that structured feedback-driven assessment plays a pivotal role in competency-based education for dental assistants. In addition, this research highlights specific design elements that may be fundamental in the success of such an approach.

Indexed as

Clinical CompetenceCompetency-Based EducationDental AssistantsEducational MeasurementFormative FeedbackFeedbackHumansCompetency-Based educationCourse designDental assistantFormative assessmentStructured feedback

Identifiers

PMID41088169
PMCPMC12522832

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LicenceCC BY-NC-ND
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Registered trials

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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.