The king's foot of patient-reported outcomes: current practices and new developments for the measurement of change

被引:23
作者
Swartz, Richard J. [1 ]
Schwartz, Carolyn [2 ,3 ]
Basch, Ethan [4 ]
Cai, Li [5 ]
Fairclough, Diane L. [6 ]
McLeod, Lori [7 ]
Mendoza, Tito R. [8 ]
Rapkin, Bruce [9 ]
机构
[1] Rice Univ, Jones Grad Sch Business, Houston, TX 77005 USA
[2] DeltaQuest Fdn Inc, Concord, MA USA
[3] Tufts Univ, Sch Med, Boston, MA 02111 USA
[4] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[5] Univ Calif Los Angeles, Los Angeles, CA USA
[6] Univ Colorado, Denver, CO 80202 USA
[7] RTI Hlth Solut, Res Triangle Pk, NC USA
[8] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA
[9] Albert Einstein Coll Med, Bronx, NY 10467 USA
关键词
Outcome assessment (Health Care); Quality of life; Longitudinal studies; Psychometrics; Statistical models; Response shift; OF-LIFE DATA; MODELS; RESPONSIVENESS;
D O I
10.1007/s11136-011-9863-1
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Assessing change remains a challenge in patient-reported outcomes. In June 2009, a group of psychometricians, biostatisticians, and behavioral researchers from other disciplines convened as a Longitudinal Analysis of Patient-Reported Outcomes Working group as part of the Statistical and Applied Mathematical Sciences Institute Summer Psychometric program to discuss the complex issues that arise when conceptualizing and operationalizing "change" in patient-reported outcome (PRO) measures and related constructs. This white paper summarizes these issues and provides recommendations and possible paths for dealing with the complexities of measuring change. This article presents and discusses issues associated with: (1) conceptualizing and operationalizing change in PRO measures; (2) modeling change using state-of-the-art statistical methods; (3) impediments to detecting true change; (4) new developments to deal with these challenges; and (5) important gaps that are fertile ground for future research. There was a consensus that important research still needs to be performed in order develop and refine high-quality PRO measures and statistical methods to analyze and model change in PRO constructs.
引用
收藏
页码:1159 / 1167
页数:9
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