Evidence map›Paper›PMID 42116020›Full record

ArticleBMC medical education2026

Manual dexterity and self-perceived skill as predictors of performance in dental skills assessments: a cross-sectional study.

Himesha Wadasinghe, Isuri Anuradha Thoradeniya, Sumudu Rasnayaka, Indika Priyanthi Thilakumara

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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Himesha WadasingheFaculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.
Isuri Anuradha ThoradeniyaFaculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.
Sumudu RasnayakaFaculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka. srasnayaka@dental.pdn.ac.lk.
Indika Priyanthi ThilakumaraFaculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs clinical dental procedures demand a high level of precision and motor control manual dexterity is considered a fundamental component in dentistry. In addition to manual dexterity, a dental student's perception of their level of skill may also influence their learning outcomes. This study aims to evaluate the correlation between manual dexterity, self-perceived skill levels and performance at skills-based assessments of dental undergraduates.

methodsThis cross-sectional study involved 114 dental undergraduates in their 3rd year in 2023/2024 at the University of Peradeniya, Sri Lanka. Each participant completed a self-administered, structured, Likert-type questionnaire which assessed their self-perceived skill level in seven dental procedures. They also completed two manual dexterity tests: the Purdue Pegboard Test and the O'Connor Tweezer Test under direct vision and indirect vision (with use of mirror). Statistical analysis was carried out to assess the correlations between parameters.

resultsAmong the study participants, 71.93% (82 students) were females and 85.96% (98 students) were right-handed. A weak positive correlation was observed between Purdue Pegboard Test dominant hand under direct vision and class II cavity preparation (r = 0.24, 95% CI [0.06, 0.40], p = 0.010). Similarly, the O'Connor Tweezer Test under indirect vision showed a weak negative correlation with performance (r = -0.28, 95% CI [-0.44, -0.10], p = 0.004), indicating that lower completion times (better dexterity) were associated with higher assessment scores. However, none of these associations remained statistically significant after Bonferroni correction (adjusted α = 0.0017). No statistically significant correlation was found between self-perceived skill levels and skill-based assessment scores. Multiple regression analysis identified some manual dexterity sub-tests to be predictors of and II cavity preparation on mannequin and teeth setting on a simple hinge articulator (adjusted R² of 0.046 and 0.177) with moderate association.

conclusionWithin the limitations of this study, performance at skill-based assessments of dental undergraduates showed limited association with manual dexterity, with findings indicating weak relationships rather than strong predictors, while no association was observed between self-perceived skill levels and performance at skill-based assessments. Further studies with different student samples are needed to confirm these findings.

Indexed as

Clinical CompetenceEducation, DentalMotor SkillsSelf ConceptStudents, DentalAdultCross-Sectional StudiesEducational MeasurementFemaleHumansMaleSri LankaSurveys and QuestionnairesYoung AdultDental educationManual dexteritySelf-perceived skillsSkill-based assessment

Identifiers

PMID42116020
PMCPMC13347885

What OpenQuestion holds

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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.