Purpose: Uncertainty tolerance (UT) is increasingly valued as a medical graduate attribute and broadly measured among medical student populations. However, the validity evidence underpinning UT scale implementation has not been summarised across studies. The present work evaluates UT scale validity evidence to better inform when, why and how UT scales ought to be used and to identify remaining validity evidence gaps.

Methods: A literature search for psychometric studies of UT scales was completed in 2022. Records were included if they implemented one of the four most cited UT scales (i.e. Physicians' Reactions to Uncertainty scale 1990 [PRU1990] or 1995 [PRU1995], Tolerance for Ambiguity [TFA] scale or Tolerance of Ambiguity in Medical Students and Doctors scale [TAMSAD]) in a population of physicians and/or medial students and presented validity evidence according to the Standards for Educational and Psychological Testing framework. Included studies were rated and analysed according to evidence for test content, response processes, internal structure, relations to other variables and consequences of testing.

Results: Among the investigated scales, 'relations to other variables' and 'internal structure' were the most commonly reported forms of validity evidence. No evidence of 'response processes' or 'consequences of testing' was identified. Overall, the PRU1990 and PRU1995 demonstrated the strongest validity evidence, although evidence primarily related to physician populations.

Conclusions: None of the studied scales demonstrated evidence for all five sources of validity. Future research would benefit from assessing validity evidence for 'response processes' and 'consequences of testing' among physicians and medical students at different training/career stages to better understand UT construct conceptualisation in these populations. Until further and stronger validity evidence for UT scales is established, we caution against implementing UT scales outside of research settings (e.g. for higher stakes decision making).

Download full-text PDF

Source
http://dx.doi.org/10.1111/medu.15014DOI Listing

Publication Analysis

Top Keywords

validity evidence
36
evidence
13
validity
9
uncertainty tolerance
8
scales
8
tolerance ambiguity
8
medical students
8
evidence evidence
8
evidence 'response
8
'response processes'
8

Similar Publications

Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme.

Discov Oncol

January 2025

Department of Medical Imaging, Shenzhen Longhua District Key Laboratory of Neuroimaging, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.

Background: Glioblastoma multiforme (GBM) is a highly aggressive brain cancer with poor prognosis and limited treatment options. Despite advances in understanding its molecular mechanisms, effective therapeutic strategies remain elusive due to the tumor's genetic complexity and heterogeneity.

Methods: This study employed a comprehensive analysis approach integrating 113 machine learning algorithms with Mendelian Randomization (MR) analysis to investigate the molecular underpinnings of GBM.

View Article and Find Full Text PDF

Introduction: Spinal cord injury is a physiological disruption often caused by trauma, leading to severe physical and psychological effects, including irreversible impairment and disability. Cervical injuries, particularly between C1 and C8, are the most severe, potentially causing diaphragm paralysis and requiring mechanical ventilation. Reduced respiratory muscle strength not only affects respiratory function but also significantly impacts voice, speech, and communication, which are crucial for quality of life.

View Article and Find Full Text PDF

Association of Arachidonic Acid Metabolism Related Genes With Endometrial Immune Microenvironment and Oxidative Stress in Coupes With Recurrent Implantation Failure.

Am J Reprod Immunol

January 2025

State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China.

Background: Alterations in lipid metabolism were reported to impact human fertility; however, there is limited evidence on the association of lipid metabolism with embryo implantation as well as the etiology of recurrent implantation failure (RIF), especially regarding arachidonic acid metabolism.

Methods: Experimental verification research (16 RIF patients and 30 control patients) based on GEO database analysis (24 RIF patients and 24 control patients). The methods in bioinformatics included differential gene screening, functional enrichment analysis, protein-protein interaction network, cluster analysis, weighted gene co-expression network analysis, and so forth.

View Article and Find Full Text PDF

miR-542-3p/PIK3R1 axis is involved in hsa_circ_0087104-mediated inhibition of esophageal squamous cell carcinoma metastasis.

Am J Cancer Res

December 2024

Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University Hangzhou 310003, Zhejiang, China.

Esophageal squamous cell carcinoma (ESCC), the most predominant subtype of esophageal cancer, is notorious for its high lymph node metastatic potential and poor prognosis. Growing evidence has demonstrated crucial function of circRNAs in human malignancies. However, the knowledge of circRNAs in lymph node metastasis of ESCC is still inadequate.

View Article and Find Full Text PDF

Sarcopenia (SP), an age-associated condition marked by muscle weakness and loss has been strongly connected with metabolic factors according to substantial evidence. Nevertheless, the causal correlation between SP and serum metabolites, and the biological signaling pathways involved, is still not well understood. We performed a bidirectional two-sample Mendelian randomization (MR) analysis to examine the causal relationships between 1091 levels and 309 ratios of metabolites with SP traits, alongside investigating the relevant biological signaling pathways.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!