| Autor: |
Gregor Liegl, Felix H. Fischer, Carl N. Martin, Maria Rönnefarth, Annelie Blumrich, Michael Ahmadi, Leif-Hendrik Boldt, Kai-Uwe Eckardt, Matthias Endres, Frank Edelmann, Holger Gerhardt, Ulrike Grittner, Arash Haghikia, Norbert Hübner, Ulf Landmesser, David Leistner, Knut Mai, Jil Kollmus-Heege, Dominik N. Müller, Christian H. Nolte, Sophie K. Piper, Kai M. Schmidt-Ott, Tobias Pischon, Simrit Rattan, Ira Rohrpasser-Napierkowski, Katharina Schönrath, Jeanette Schulz-Menger, Oliver Schweizerhof, Joachim Spranger, Joachim E. Weber, Martin Witzenrath, Sein Schmidt, Matthias Rose |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Health and Quality of Life Outcomes, Vol 22, Iss 1, Pp 1-12 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1477-7525 |
| DOI: |
10.1186/s12955-024-02277-4 |
| Popis: |
Abstract Background Health-related quality of life (HRQL) has become an important outcome parameter in cardiology. The MOS 36-ltem Short-Form Health Survey (SF-36) and the PROMIS-29 are two widely used generic measures providing composite HRQL scores. The domains of the SF-36, a well-established instrument utilized for several decades, can be aggregated to physical (PCS) and mental (MCS) component summary scores. Alternative scoring algorithms for correlated component scores (PCSc and MCSc) have also been suggested. The PROMIS-29 is a newer but increasingly used HRQL measure. Analogous to the SF-36, physical and mental health summary scores can be derived from PROMIS-29 domain scores, based on a correlated factor solution. So far, scores from the PROMIS-29 are not directly comparable to SF-36 results, complicating the aggregation of research findings. Thus, our aim was to provide algorithms to convert PROMIS-29 data to well-established SF-36 component summary scores. Methods Data from n = 662 participants of the Berlin Long-term Observation of Vascular Events (BeLOVE) study were used to estimate linear regression models with either PROMIS-29 domain scores or aggregated PROMIS-29 physical/mental health summary scores as predictors and SF-36 physical/mental component summary scores as outcomes. Data from a subsequent assessment point (n = 259) were used to evaluate the agreement between empirical and predicted SF-36 scores. Results PROMIS-29 domain scores as well as PROMIS-29 health summary scores showed high predictive value for PCS, PCSc, and MCSc (R2 ≥ 70%), and moderate predictive value for MCS (R2 = 57% and R2 = 40%, respectively). After applying the regression coefficients to new data, empirical and predicted SF-36 component summary scores were highly correlated (r > 0.8) for most models. Mean differences between empirical and predicted scores were negligible (|SMD| |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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