Psychometric validity of the Shirom-Melamed Burnout Measure and the Burnout Assessment Tool: a systematic review
Dec 29, 2023
About this article
Article Category: Original article
Published Online: Dec 29, 2023
Page range: 238 - 245
Received: Aug 01, 2023
Accepted: Nov 01, 2023
DOI: https://doi.org/10.2478/aiht-2023-74-3769
Keywords
© 2023 Yara Shoman et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1

PROM description, initial validation, and validity of statistical analysis
Authors | Shirom and Melamed | Schaufeli, Desart, and De Witte |
Aim | Screening for employees at risk of burnout | Screening for employees at risk of burnout |
Year of publication | 2003 | 2020 |
Country | Israel | Belgium |
Language of original version | Hebrew and English | Flemish Dutch and English |
Population | Working population | Working population |
Dimensions (Number of items) | Physical fatigue (6) | Exhaustion (8) |
Cognitive weariness (5) | Mental distance (5) | |
Emotional exhaustion (3) | Cognitive impairment (5) | |
Emotional impairment (5) | ||
Number of analysed articles | 7 | 3 |
Number of psychometric prosperities assessed by these articles | 6/11 | 9/11 |
Face validity | - | 1 |
Content validity | - | 1 |
Predictive validity | 5 | - |
Concurrent validity | - | - |
Convergent validity | 1 | 1 |
Discriminant validity | 2 | 1 |
Exploratory factorial validity | - | 2 |
Confirmatory factorial validity | 1 | 2 |
Stability | 4 | 1 |
Homogeneity | 7 | 3 |
Sensitivity | - | 1 |
Complete agreement | 6/7 | 1/3 |
Partial agreement | 1/7 | 2/3 |
Disagreement | 0/7 | 0/3 |
Comparison of the two burnout PROMs against the COSMIN guidelines
Content validity | − | Very low | + | Moderate |
Relevance | − | Very low | + | Moderate |
Comprehensiveness | − | Very low | + | Moderate |
Comprehensibility | − | Very low | + | Moderate/Low |
Structural validity | − | Very low | + | Moderate |
Internal consistency | + | Moderate | + | High |
Reliability | + | Low | + | Low |
Measurement error | ? | Very low | − | Low |
Criterion validity | − | Very low | + | Moderate |
Construct validity | + | High | + | Moderate |
Responsiveness | ? | Very low | ? | Very low |