Psychometric Properties of the Hungarian Promis Global Health Questionnaire


Bató A1, Brodszky V2, Mitev AZ3, Jenei B2, Rencz F2
1Semmelweis University and Corvinus University of Budapest, Károly Rácz Doctoral School of Clinical Medicine, Budapest, PE, Hungary, 2Corvinus University of Budapest, Department of Health Economics, Budapest, Hungary, 3Corvinus University of Budapest, Institute of Marketing, Budapest, Hungary

Presentation Documents

OBJECTIVES: Patient-Reported Outcomes Measurement Information System Global Health (PROMIS-GH) is a generic health status questionnaire that provides measures of global physical health (GPH) and global mental health (GMH). This study aimed to explore the psychometric properties of the Hungarian version of PROMIS-GH.

METHODS: In November 2020, 1700 members of the Hungarian adult general population completed an online cross-sectional survey including PROMIS-GH. Psychometric properties were tested by confirmatory (CFA) and bifactor analyses as well as item response theory analysis. Unidimensionality (root mean square error of approximation [RMSEA]≤0.06, comparative fit index [CFI]≥0.95, Tucker-Lewis index [TLI]≥0.95, standardized root mean squared residual [SRMR]≤0.08, explained common variance [ECV]>0.70, Omega Hierarchical>0.70), local independence (residual correlations<|0.20|), monotonicity (coefficient H>0.30) and model fit with graded response model (GRM, p≥0.001) were analysed. Measurement invariance was tested by differential item functioning for gender, age, education, region, employment, place of residence, marital status, and income groups. Spearman’s correlations with SF-36 subscales were examined to test convergent validity.

RESULTS: Unidimensionality was confirmed by CFA (GPH: CFI=0.993, TLI=0.978, SRMR=0.039; GMH: CFI=0.999, TLI=0.997, SRMR=0.025) except for the RMSEA statistic (GPH: 0.114; GMH: 0.071). While ECV exceeded the cut-off value for both subscales (GPH: 0.72, GMH: 0.78), Omega Hierarchical value was sufficient only for GMH (0.73; GPH: 0.66). Local dependence was not detected (all residual correlations<|0.20|). For monotonicity, coefficients were well-above the cut-off value for the two subscales (GPH: 0.53; GMH: 0.64). Both GPH and GMH fitted the GRM model (GPH: RMSEA=0.008; GMH: RMSEA=0.012). Five from eight items showed misfit to the GRM model (p<0.001). We found no measurement invariance. PROMIS-GH subscales showed moderate-to-strong correlations (rs=0.56-0.83, p<0.001) with SF-36 subscales.

CONCLUSIONS: PROMIS-GH showed satisfactory psychometric properties in Hungary, however further studies with different patient populations and testing other measurement properties (e.g. test-retest reliability, responsiveness) are recommended.

Conference/Value in Health Info

2022-11, ISPOR Europe 2022, Vienna, Austria

Value in Health, Volume 25, Issue 12S (December 2022)




Methodological & Statistical Research

Topic Subcategory

PRO & Related Methods, Survey Methods


No Additional Disease & Conditions/Specialized Treatment Areas

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