Development and psychometric testing of physiopsychological disorders scale for medical rescuers fighting epidemics in China
- PMID: 38363005
- DOI: 10.1111/phn.13291
Development and psychometric testing of physiopsychological disorders scale for medical rescuers fighting epidemics in China
Abstract
Objective: Develop and psychometrically test the physiopsychological disorders scale for medical rescuers fighting epidemics (PDS-MRFE).
Method: A three-phase approach was used to develop and test the physiopsychological disorders scale: (1) creating the item pool, (2) preliminarily evaluating items, and (3) refining the scale and estimating the psychometric properties. The items of the instrument were generated based on a comprehensive literature review and a qualitative study conducted with 31 medical rescuers (18 nurses and 13 doctors) fighting epidemics. A preliminary evaluation of items was conducted using content validity which was evaluated by a panel of 15 experts. Validity and reliability examinations were conducted to refine the scale and evaluate its psychometric properties. This was done using two different samples. Specifically, Sample A (360 medical rescuers) was employed for item reduction and exploratory factor analysis (EFA), and Sample B (287 medical rescuers) was employed for the confirmatory factor analysis (CFA) and determination of other psychometric properties (i.e., reliability, concurrent, convergent, and discriminant validity), which further confirmed the structure of the scale and evaluated its final psychometric properties.
Results: The final scale has 39 items with three subscales, including before, during, and after rescue. The exploratory factor analysis result indicated that the before-rescue scale of four items, during-rescue of 21 items, and after-rescue of 14 items explained 52.07%, 69.75%, and 52.30% of the cumulative variance, respectively. The confirmatory factor analysis result indicated that model fit indices of three subscales were acceptable and showed evidence of adequate content, convergent, discriminate, and concurrent validity. The Cronbach's α coefficients for each subscale and all dimensions ranged from 0.81 to 0.92, indicating good reliability for the PDS-MRFE.
Conclusions: The physiopsychological disorders scale is a psychometrically valid and reliable instrument and can be used in both clinical practice and research to evaluate different physiopsychological disorders at different medical rescue stages among medical rescuers fighting epidemics.
Keywords: epidemic; instrument development; medical rescuers; physiopsychological disorders; psychometric testing.
© 2024 Wiley Periodicals LLC.
Similar articles
-
Development of a Health Problem Prevention and Control Strategies Scale for Medical Rescuers Fighting Epidemics.Eval Health Prof. 2025 Jun;48(2):195-205. doi: 10.1177/01632787241246130. Epub 2024 Apr 10. Eval Health Prof. 2025. PMID: 38598289
-
Development and psychometric testing of the Knowledge, Attitudes and Practices (KAP) questionnaire among student Tuberculosis (TB) Patients (STBP-KAPQ) in China.BMC Infect Dis. 2018 May 8;18(1):213. doi: 10.1186/s12879-018-3122-9. BMC Infect Dis. 2018. PMID: 29739363 Free PMC article.
-
Developing the quality of life in pregnancy scale (PREG-QOL).BMC Pregnancy Childbirth. 2024 Sep 7;24(1):587. doi: 10.1186/s12884-024-06771-x. BMC Pregnancy Childbirth. 2024. PMID: 39244534 Free PMC article.
-
Development and psychometric testing of a scale measuring caring behaviors for healthcare students and providers.Med Educ Online. 2022 Dec;27(1):2066496. doi: 10.1080/10872981.2022.2066496. Med Educ Online. 2022. PMID: 35435142 Free PMC article. Review.
-
Development and psychometric evaluation of the Attitudes Towards Recognising Early and Noticeable Deterioration (ATREND) scale.J Clin Nurs. 2023 Jun;32(11-12):2684-2699. doi: 10.1111/jocn.16350. Epub 2022 May 8. J Clin Nurs. 2023. PMID: 35527356 Review.
References
REFERENCES
-
- Abbas, M., Robalo Nunes, T., Martischang, R., Zingg, W., Iten, A., Pittet, D., & Harbarth, S. (2021). Nosocomial transmission and outbreaks of coronavirus disease 2019: The need to protect both patients and healthcare workers. Antimicrobial Resistance and Infection Control, 10(1), 7. https://doi.org/10.1186/s13756‐020‐00875‐7
-
- Abramowitz, J. S., Deacon, B. J., Olatunji, B. O., Wheaton, M. G., Berman, N. C., Losardo, D., Timpano, K. R., McGrath, P. B., Riemann, B. C., Adams, T., Björgvinsson, T., Storch, E. A., & Hale, L. R. (2010). Assessment of obsessive‐compulsive symptom dimensions: Development and evaluation of the Dimensional Obsessive‐Compulsive Scale. Psychological Assessment, 22(1), 180–198. https://doi.org/10.1037/a0018260
-
- Alavi, M., Visentin, D. C., Thapa, D. K., Hunt, G. E., Watson, R., & Cleary, M. (2020). Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use? Journal of Advanced Nursing, 76(8), 1886–1889. https://doi.org/10.1111/jan.14377
-
- Anggriani, R., Anggrawan, A., & Cahyadi, I. (2020). Structural analysis of the equation model on store atmosphere towards hedonic value and consumer impulsive buying (Study at Majapahit Food Center). Jurnal Varian, 4(1), 61–70. https://doi.org/10.30812/varian.v4i1.851
-
- Bagozzi, R. P. (1981). Evaluating structural equation models with unobservable variables and measurement Error—A comment. Journal of Marketing Research, 18(3), 375–381. https://doi.org/10.2307/3150979
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous