Evidence map›Paper›PMID 33046055›Full record

ArticleBMC medical education2020

Ratings of performance in multisource feedback: comparing performance theories of residents and nurses.

Muhammad Tariq, Marjan Govaerts, Azam Afzal, Syed Ahsan Ali, Tabassum Zehra

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Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Muhammad TariqDepartment for Educational Development & Department of Medicine, Aga Khan University, P.O. Box 3500, Stadium Road, Karachi, 74800, Pakistan. muhammed.tariq@aku.edu.ORCID http://orcid.org/0000-0001-9770-2065
Marjan GovaertsSchool of Health Professions Education, Maastricht University, Maastricht, Netherlands.
Azam AfzalDepartment for Educational Development and Department of Medicine, Aga Khan University, Karachi, Pakistan.
Syed Ahsan AliDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Tabassum ZehraDepartment for Educational Development & Department of Medicine, Aga Khan University, P.O. Box 3500, Stadium Road, Karachi, 74800, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultisource feedback (MSF) is increasingly being used to assess trainee performance, with different assessor groups fulfilling a crucial role in utility of assessment data. However, in health professions education, research on assessor behaviors in MSF is limited. When assessing trainee performance in work settings, assessors use multidimensional conceptualizations of what constitutes effective performance, also called personal performance theories, to distinguish between various behaviors and sub competencies., This may not only explain assessor variability in Multi Source Feedback, but also result in differing acceptance (and use) of assessment data for developmental purposes. The purpose of this study was to explore performance theories of various assessor groups (residents and nurses) when assessing performance of residents.

methodsA constructivist, inductive qualitative research approach and semi-structured interviews following MSF were used to explore performance theories of 14 nurses and 15 residents in the department of internal medicine at Aga Khan University (AKU). Inductive thematic content analysis of interview transcripts was used to identify and compare key dimensions in residents' and nurses' performance theories used in evaluation of resident performance.

resultsSeven major themes, reflecting key dimensions of assessors' performance theories, emerged from the qualitative data, namely; communication skills, patient care, accessibility, teamwork skills, responsibility, medical knowledge and professional attitude. There were considerable overlaps, but also meaningful differences in the performance theories of residents and the nurses, especially with respect to accessibility, teamwork and medical knowledge.

conclusionResidents' and nurses' performance theories for assessing resident performance overlap to some extent, yet also show meaningful differences with respect to the performance dimensions they pay attention to or consider most important. In MSF, different assessor groups may therefore hold different performance theories, depending on their role. Our results further our understanding of assessor source effects in MSF. Implications of our findings are related to implementation of MSF, design of rating scales as well as interpretation and use of MSF data for selection and performance improvement.

Indexed as

Internship and ResidencyClinical CompetenceFeedbackHumansQualitative Research360-degree evaluationAssessorsMultisource feedbackNursesPerformance theoriesRatingsResidents

Identifiers

PMID33046055
PMCPMC7549199

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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.