View full metadata
Cite as
-
Full Title
RICERCHE DI PSICOLOGIA
-
Publisher
FrancoAngeli
-
ISSN
1972-5620 (Online Journal)
-
Journal Issue Number
3
-
Journal Issue Designation
3
-
Journal Issue Date
2024
-
Full Title
Cracking the Code: Examining Psychometric Rigor of the Provider Decision Process Assessment Instrument (PDPAI) among Residents' Trainees and Expert Physicians
-
By (author)
-
First Page
31
-
Last Page
55
-
Language of text
English
-
Publication Date
2025/01
-
Copyright
2024 FrancoAngeli srl
Main description
The realm of healthcare decision-making remains inadequately explored, specifically in assessing the psychometric characteristics of tools like the Provider Decision Process Assessment Instrument (PDPAI). This study aims to fill this void by examining decisional conflict among resident trainees and experienced consultant physicians. We approached a total of 347 physicians using a convenient sampling method from tertiary care hospitals. The analysis encompassed (i) factorial validity of PDPAI through confirmatory factor analysis (CFA) and evaluating the single group CFA models and (ii) multigroup CFA models, (iii) examining factorial invariance among residents' trainees and experienced physicians' groups, (iv) Rasch analysis assessing the individual item impact on the subdomains, (v) internal consistency (vi) convergent and discriminant validity. The bi-factor model adequately fit the data as all factor loadings (0.44-0.70) were statistically significant (p < 0.05). The bifactor model supported the global construct or the sub-domains as suitable measurement models. The PDPAI showed invariance for use across two physician groups. Physicians encountered greatest difficulty in item "I was clear what treatment would be best for this patient." [MNSQ Infit/Outfit: 1.327/1.278] and found the easiest item "It was easy to identify all of the considerations that affect the decision" [0.902/0.869]. Adequate internal consistency was revealed through Cronbach and Omega coefficient values. Convergent and discriminant validity of PDPAI was supported by correlating with team decisionmaking questionnaire and compassion fatigue respectively. The PDPAI's validated cross-group invariance highlights it's applicability to a diverse range of physician groups, guiding tailored interventions.
Reference list of
10.3280/rip2024oa18309
Unstructured Citation
Barry, M. J., Cherkin, D. C., YuChiao, C., Fowler, F. J., & Skates, S. (1997). A randomized trial of a multimedia shared decision-making
program for men facing a treatment decision for benign prostatic hyperplasia. Disease Management and Clinical Outcomes, 1(1),
5-14.
https://doi.org/10.1016/S1088-3371(96)00004-6
Unstructured Citation
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural
Equation Modeling, 9(2), 233-255.
https://doi.org/10.1207/S15328007SEM0902_5
Unstructured Citation
Cocker, F., & Joss, N. (2016). Compassion fatigue among healthcare, emergency and community service workers: A systematic
review. International Journal of Environmental Research and Public Health, 13(6), 618.
https://doi.org/10.3390/ijerph13060618
Unstructured Citation
Dolan, J. G. (1999). A method for evaluating health care providersʼdecision making: the Provider Decision Process Assessment
Instrument. Medical Decision Making, 19(1), 38-41.
https://doi.org/10.1177/0272989X9901900105
Unstructured Citation
Epstein, S. (2011). Intuition from the perspective of cognitive-experiential self- theory. In Plessner H., Betsch C., & Betsch T. (Eds.), Intuition: In judgment and decision making (pp. 23-37). Hoboken: Taylor & Francis.
Unstructured Citation
Farrell, A. M., & Rudd, J. M. (2009). Factor analysis and discriminant validity: A brief review of some practical issues. Anzmac.
Unstructured Citation
Fernández-Miranda, G., Urriago-Rayo, J., Akle, V., Noguera, E., Mejía, N., Amaya, S., & Jimenez-Leal, W. (2023). Compassion
and decision fatigue among healthcare workers during COVID-19 pandemic in a Colombian sample. Plos One, 18(3), e0282949.
https://doi.org/10.1371/journal.pone.0282949
Unstructured Citation
García, A., & Garasic, M. (2021). Ethical issues concerning informed consent in translational/clinical research and vaccination.
In Cross-Cultural and Religious Critiques of Informed Consent,(pp. 11-17). Routledge.
https://doi.org/10.4324/9781003213215-3
Unstructured Citation
Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective, (7). Pearson Upper Saddle River.
Unstructured Citation
Han, P. K., Babrow, A., Hillen, M. A., Gulbrandsen, P., Smets, E. M., & Ofstad, E. H. (2019). Uncertainty in health care:
Towards a more systematic program of research. Patient Education and Counseling, 102(10), 1756- 1766.
https://doi.org/10.1016/j.pec.2019.06.012
Unstructured Citation
Hui, L., Garnett, A., Oleynikov, C., & Boamah, S. A. (2023). Compassion fatigue in healthcare providers during the COVID-19
pandemic: a scoping review protocol. BMJ open, 13(5), e069843.
https://doi.org/10.1136/bmjopen-2022-069843
Unstructured Citation
Légaré, F., OʼConnor, A. M., Graham, I. D., Wells, G. A., & Tremblay, S. (2006). Impact of the Ottawa Decision Support Framework
on the agreement and the difference between patientsʼand physiciansʼdecisional conflict. Medical Decision Making, 26(4), 373-390.
https://doi.org/10.1177/0272989X06290492
Unstructured Citation
Leroux, E. J., Rizeq, J., & Skilling, T. A. (2023). Measurement invariance of the Youth Self-Report across youth who have
committed sexual and nonsexual offenses. Psychological Assessment, 35(10), 821-829.
https://doi.org/10.1037/pas0001266
Unstructured Citation
Liao, Y. L., Wang, T. J., Su, C. W., Liang, S. Y., Liu, C. Y., & Fan, J. Y. (2023). Efficacy of a decision support intervention
on decisional conflict related to hepatocellular cancer treatment: a randomized controlled trial. Clinical Nursing Research,
32(1), 233-243.
https://doi.org/10.1177/10547738221121447
Unstructured Citation
Netzer, G., & Sullivan, D. R. (2014). Recognizing, naming, and measuring a family intensive care unit syndrome. Annals of
the American Thoracic Society, 11(3), 435-441.
https://doi.org/10.1513/AnnalsATS.201309-308OT
Unstructured Citation
O’Connor, A. M. (2010). User Manual-Decisional Conflict Scale. 1993. See [https://decisionaid.ohri.ca/eval.html#DecisionalConflictScale].
Unstructured Citation
OʼConnor, A. M., Jacobsen, M. J., & Stacey, D. (2002). An evidence-based approach to managing womenʼs decisional conflict.
Journal of Obstetric, Gynecologic, & Neonatal Nursing, 31(5), 570-581.
https://doi.org/10.1111/j.1552-6909.2002.tb00083.x
Unstructured Citation
Sainfort, F., & Booske, B. C. (2000). Measuring post-decision satisfaction. Medical Decision Making, 20(1), 51-61.
https://doi.org/10.1177/0272989X0002000107
Unstructured Citation
Sass, D. A., & Schmitt, T. A. (2013). Testing measurement and structural invariance: Implications for practice. In Handbook
of quantitative methods for educational research (pp. 315-345). Brill.
https://doi.org/10.1007/978-94-6209-404-8_15
Unstructured Citation
Schwarz, N., Jalbert, M., Noah, T., & Zhang, L. (2021). Metacognitive experiences as information: Processing fluency in consumer
judgment and decision making. Consumer Psychology Review, 4(1), 4-25.
https://doi.org/10.1002/arcp.1067
Unstructured Citation
Smith Jr, E. V. (2001). Evidence for the reliability of measures and validity of measure interpretation: a Rasch measurement perspective. Journal of Applied Measurement, 2(3), 281-311.
Unstructured Citation
Smith, R. M. (2000). Fit analysis in latent trait measurement models. Journal of Applied Measurement, 1(2), 199-218.
Unstructured Citation
Strauss, M. E., & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual Review of Clinical Psychology,
5, 1-25.
https://doi.org/10.1146/annurev.clinpsy.032408.153639
Unstructured Citation
Trees, A. R., Ohs, J. E., & Murray, M. C. (2017). Family communication about end-of-life decisions and the enactment of the
decision-maker role. Behavioral Sciences, 7(2), 36.
https://doi.org/10.3390/bs7020036
Unstructured Citation
Wang, S., Li, L., Liu, C., Huang, L., Chuang, Y. C., & Jin, Y. (2023). Applying a multi-criteria decision-making approach
to identify key satisfaction gaps in hospital nurses’ work environment. Heliyon, 9(3), e14721.
https://doi.org/10.1016/j.heliyon.2023.e14721
Unstructured Citation
Widaman, K. F., & Olivera-Aguilar, M. (2023). Investigating measurement invariance using confirmatory factor analysis. Handbook of structural equation modeling, 367-384.
Unstructured Citation
Wilson, M., Allen, D. D., & Li, J. C. (2006). Improving measurement in health education and health behavior research using
item response modeling: comparison with the classical test theory approach. Health Education Research, 21(suppl_1), i19-i32.
https://doi.org/10.1093/her/cyl053
Unstructured Citation
Wright, B. D. (1994). Reasonable mean-square fit values. Rasch Meas Transac, 8, 370.
Unstructured Citation
Wright, B. D., & Stone, M. H. (1999). Measurement Essentials. Wilmington, DE: Wide Range.
Unstructured Citation
Wu, D., Yang, T., Herold, F., Hall, D. L., Mueller, N., Yeung, A., ... & Zou, L. (2022). Validation of the 4-Item and 10-Item
uncertainty stress scale in a community-based sample of chinese adults. Psychology Research and Behavior Management, 2803-2813.
https://doi.org/10.2147/PRBM.S379180
Unstructured Citation
Younas, S. & Khanum, S. (2024a). Examining the Role of Stress and Team Support in Decision-Making Under Uncertainty and Time
Pressure. MDM Policy and Practice (in press).
https://doi.org/10.1177/23814683241273575
Unstructured Citation
Zettel-Watson, L., Ditto, P. H., Danks, J. H., & Smucker, W. D. (2008). Actual and perceived gender differences in the accuracy
of surrogate decisions about life-sustaining medical treatment among older spouses. Death Studies, 32(3), 273-290.
https://doi.org/10.1080/07481180701881230
Unstructured Citation
Zhou, J., & Xu, X. (2023). The difficulty of medical decision-making: should patients be involved?. Hepatobiliary Surgery
and Nutrition, 12(3), 407-409.
https://doi.org/10.21037/hbsn-23-245