PhD Scientific Days 2022
Budapest, 6-7 July 2022
Clinical Medicine VI. (Poster discussion will take place on the terrace of the room during the Coffee Break)
Psychometric properties and general population reference values for the PROMIS Global Health in Hungary
Előadó neve
Bató, Alex
Előadó munkahelye
Corvinus University of Budapest
Előadó telefonszáma
+36 30 701 33 35
Előadó e-mail címe
alexbato96@gmail.com
Az előadás címe
Psychometric properties and general population reference values for the PROMIS Global Health in Hungary
Szerző(k) neve és munkahelye
Alex Bató1,2, Valentin Brodszky2, Ariel Zoltán Mitev3, Balázs Jenei2, Fanni Rencz2
1 – Károly Rácz Doctoral School of Clinical Medicine, Semmelweis University, Budapest, Hungary
2 – Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary
3 – Institute of Marketing, Corvinus University of Budapest, Budapest, Hungary
Bemutatás módja
Szóbeli
Szekció
Clinical Medicine VI. (Poster discussion will take place on the terrace of the room during the Coffee Break)
Language of the presentation
English
Preferred session
Clinical Medicine
Összefoglaló szövege
Introduction: Patient-Reported Outcomes Measurement Information System Global Health (PROMIS-GH) is a widely used generic measure of health status. PROMIS-GH consists of ten items focusing on mental health, physical health, social health, pain, fatigue, and overall health. It has two subscales including 4-4 items, namely general physical health (GPH) and general mental health (GMH).
Aims: This study aimed to (1) assess the psychometric properties of the Hungarian PROMIS-GH and to (2) develop general population reference values in Hungary.
Methods: In November 2020, an online cross-sectional survey was conducted among the Hungarian adult general population (n=1700). Respondents completed the PROMIS-GH v1.2 and SF-36 instruments. We used factor analysis and item response theory (IRT) methods for psychometric testing: floor and ceiling effects, unidimensionality, local independence, monotonicity, model fit with graded response model and differential item functioning (DIF) were examined. Age- and gender-weighted T-scores were computed for both the GPH and GMH subscales. Spearman’s correlations were used to analyse convergent validity of PROMIS-GH subscales with SF-36 subscales.
Result: We found (almost) no floor effects for GPH (0%) and GMH (0.5%), ceiling effects for GPH (4.1%) and GMH (4.8%) were relatively low. Confirmatory and exploratory factor analyses confirmed the unidimensionality of both subscales with no or minor deviation from cut-off values. Local independence, monotonicity, and model fit assumptions were met. We found no measurement invariance after the DIF analysis and Monte Carlo simulation. Mean GPH and GMH T-scores of females were lower (47.8 and 46.4) compared to males (50.5 and 49.3) (p<0.001). SF-36 mental health composite (MHC) and physical health composite (PHC) showed moderate to strong correlations (rs=0.56-0.83, p<0.001) with PROMIS-GH subscales.
Conclusion: This study established the validity and developed reference values for the PROMIS-GH in Hungary. Population reference values facilitate the interpretation of scores of patients and allow inter-country comparisons.
Funding: Alex Bató’s work was supported by the ÚNKP-21-3 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund.
University and Doctoral School
Semmelweis University, Károly Rácz Doctoral School of Clinical Medicine
Supervisor
Fanni Rencz
Publication of my abstract
I do not give consent to the publication of my abstract on the website of the congress.
Kind
Szabad
Status
elfogadva
Accepted presentation method
szóbeli
Előadás fájl jóváhagyás
nem rendelkezett róla
Előadó
6822
Start
09:00
End
09:15
Authors (legacy)
Alex Bató1,2, Valentin Brodszky2, Ariel Zoltán Mitev3, Balázs Jenei2, Fanni Rencz2
1 – Károly Rácz Doctoral School of Clinical Medicine, Semmelweis University, Budapest, Hungary
2 – Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary
3 – Institute of Marketing, Corvinus University of Budapest, Budapest, Hungary