Department of Psychosomatic Medicine, Center for Patient-Centered Outcomes Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Health Qual Life Outcomes. 2024 Aug 15;22(1):64. doi: 10.1186/s12955-024-02277-4.
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 (PCS and MCS) 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.
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.
PROMIS-29 domain scores as well as PROMIS-29 health summary scores showed high predictive value for PCS, PCS, and MCS (R ≥ 70%), and moderate predictive value for MCS (R = 57% and R = 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|<0.1).
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) 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.
健康相关生活质量（HRQL）已成为心脏病学中的一个重要结果参数。MOS 36 项简短健康调查（SF-36）和 PROMIS-29 是两种广泛使用的通用措施，可提供综合 HRQL 评分。SF-36 是一种经过充分验证的仪器，已经使用了几十年，可以聚合为身体（PCS）和精神（MCS）组成部分摘要评分。还提出了用于相关组成部分评分（PCS 和 MCS）的替代评分算法。PROMIS-29 是一种较新但越来越受欢迎的 HRQL 测量方法。类似于 SF-36，可以根据相关因素解决方案从 PROMIS-29 域分数中得出身体和心理健康摘要分数。到目前为止，PROMIS-29 的分数与 SF-36 结果无法直接比较，这使得研究结果的聚合变得复杂。因此，我们的目的是提供将 PROMIS-29 数据转换为既定的 SF-36 组成部分摘要评分的算法。
使用来自柏林血管事件长期观察（BeLOVE）研究的 n = 662 名参与者的数据来估计线性回归模型，其中 PROMIS-29 域评分或聚合的 PROMIS-29 身体/心理健康摘要评分作为预测因子，SF-36 身体/心理健康组成部分摘要评分作为结果。使用随后的评估点（n = 259）的数据来评估经验和预测的 SF-36 分数之间的一致性。
PROMIS-29 域评分以及 PROMIS-29 健康摘要评分对 PCS、PCS 和 MCS 具有很高的预测价值（R≥70％），对 MCS 具有中等的预测价值（R=57％和 R=40％）。将回归系数应用于新数据后，大多数模型的经验和预测的 SF-36 组成部分摘要评分高度相关（r＞0.8）。经验和预测分数之间的平均差异可忽略不计（|SMD|＜0.1）。
本研究提供了一种易于应用的算法，可以将 PROMIS-29 数据转换为心血管人群中既定的 SF-36 身体和精神组成部分摘要评分。在新数据上应用时，经验和预测的 SF-36 分数之间的一致性很高。但是，对于 SF-36 精神成分综合评分，在相关（MCS）模型下的预测明显优于原始因子模型（MCS）。此外，作为一个相关的副产品，我们的研究证实了相对较新的 PROMIS-29 健康摘要评分在心脏病患者中的结构效度。
