Evidence map›Paper›PMID 36250891›Full record

ArticleMedical education online2022

Cost-Effectiveness Analysis in Performance Assessments: A Case Study of the Objective Structured Clinical Examination.

Zhehan Jiang, Jinying Ouyang, Li Li, Yuting Han, Lingling Xu, Ren Liu, Junhua Sun

Abstract read
In one paragraph

Article in Medical education online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

7 authors.

Zhehan JiangInstitute of Medical Education, Health Science Center, Peking University, Beijing, Peking, China.ORCID 0000-0002-1376-9439
Jinying OuyangInstitute of Medical Education, Health Science Center, Peking University, Beijing, Peking, China.
Li LiDepartment of General Practice, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Yuting HanInstitute of Medical Education, Health Science Center, Peking University, Beijing, Peking, China.
Lingling XuInstitute of Medical Education, Health Science Center, Peking University, Beijing, Peking, China.
Ren LiuPsychological Science, University of California Merced, Merced, CA, USA.
Junhua SunInstitute of Education, Nanjing University, Nanjing, Jiangsu, China.ORCID 0000-0001-5462-8192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical education assessments are becoming more complex, resulting in the inappropriateness of traditional methods primarily consisting of direct observations, oral examinations, and multiple-choice tests. Advancements in research methods have led to the formation of new modalities, namely performance assessments, which are, on the other hand, always costly in development and implementation. Proposing using the Program Effectiveness and Cost Generalization flow within an assessment context (PRECOG-A), this brief report explores the real financial cost drivers associated with an assessment case in the context of medical education, presents the steps in bridging the effectiveness with its psychometric properties via cost-effectiveness analysis, and evaluates the two-side outcomes for further evaluation decision-making. Referentially providing a framework to investigators and researchers, the illustration of PRECOG-A in this study outlines instructional guidelines for conducting cost-effectiveness analysis in a performance assessment.

Indexed as

Education, MedicalCost-Benefit AnalysisHumansPsychometricsCost-effectivenessgeneralizability theoryperformance assessmentpsychometrics

Identifiers

PMID36250891
PMCPMC9586649

What OpenQuestion holds

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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.