Converting PROMIS®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

This study provides easy-to-apply algorithms to convert PROMIS-29 data to well-established SF-36 physical and mental component summary scores in a cardiovascular population. Applied to new data, the agreement between empirical and predicted SF-36 scores was high. However, for SF-36 mental component summary scores, considerably better predictions were found under the correlated (MCS<sub>c</sub>) than under the original factor model (MCS). Additionally, as a pertinent byproduct, our study confirmed construct validity of the relatively new PROMIS-29 health summary scores in cardiology patients.

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Publication Details

Journal
Health and Quality of Life Outcomes
Published
2024-08-15
DOI
https://doi.org/10.1186/s12955-024-02277-4
Citations
7
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
7.90

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article

Converting PROMIS®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

Matthias Endres, David M. Leistner, Frank Edelmann, Gregor Liegl et al.
7 citations
Health and Quality of Life Outcomes
Health Systems, Economic Evaluations, Quality of Life
7.90
article

Converting PROMIS®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

Matthias Endres, David M. Leistner, Frank Edelmann, Gregor Liegl, Joachim Spranger, Annelie Blumrich, Knut Mai, Christian H. Nolte, Matthias Rose, Sein Schmidt, Ira Rohrpasser‐Napierkowski, Martin Witzenrath, Katharina Schönrath, Maria Rönnefarth, Norbert Hübner, Tobias Pischon, Felix Fischer, Jeanette Schulz‐Menger, Kai‐Uwe Eckardt, Leif‐Hendrik Boldt, Michael Ahmadi, Joachim E. Weber, Holger Gerhardt, Ulf Landmesser, Dominik N. Müller, Kai Martin Schmidt-Ott, Oliver Schweizerhof, Ulrike Grittner, Sophie K. Piper, Arash Haghikia, Simrit Rattan, Carl N. Martin, Jil Kollmus-Heege
article en
7 citations

Abstract

This study provides easy-to-apply algorithms to convert PROMIS-29 data to well-established SF-36 physical and mental component summary scores in a cardiovascular population. Applied to new data, the agreement between empirical and predicted SF-36 scores was high. However, for SF-36 mental component summary scores, considerably better predictions were found under the correlated (MCS<sub>c</sub>) than under the original factor model (MCS). Additionally, as a pertinent byproduct, our study confirmed construct validity of the relatively new PROMIS-29 health summary scores in cardiology patients.

Health and Quality of Life OutcomesVol. 22(1)
Goethe University Frankfurt (DE), Max Delbrück Center (DE), German Center for Neurodegenerative Diseases (DE), Medizinische Hochschule Hannover (DE), Humboldt-Universität zu Berlin (DE), Deutsches Herzzentrum der Charité (DE), German Centre for Cardiovascular Research (DE), German Center for Lung Research (DE), University Hospital Frankfurt (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Excellence Cluster Universe (DE), Deutsches Diabetes-Zentrum e.V. (DE), German Center for Diabetes Research (DE), Heinrich Heine University Düsseldorf (DE), University of Duisburg-Essen (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Teva Pharmaceutical Industries, European Respiratory Society, Deutsches Zentrum für Herz-Kreislaufforschung, International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Bayer HealthCare, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Charité – Universitätsmedizin Berlin, Deutsche Herzstiftung, Siemens Healthineers, Berlin Institute of Health
Openalex Percentile: Top 3%
Health Systems, Economic Evaluations, Quality of Life
7.90
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