Differential item functioning of the SF-12 in a population-based regional joint replacement registry

Health and Quality of Life Outcomes

  ^{1    2    3    3    3    4    5} 

[1] 0000 0000 9062 8563, grid.265179.e, School of Nursing, Trinity Western University, Langley, BC, Canada;0000 0001 2182 2255, grid.28046.38, Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON, Canada;0000 0001 2182 2255, grid.28046.38, Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON, Canada;0000 0004 1936 9609, grid.21613.37, Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Avenue, R3E 0W3, Winnipeg, MB, Canada;0000 0004 1936 7697, grid.22072.35, Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada;0000 0004 1936 9609, grid.21613.37, Department of Surgery, University of Manitoba, Winnipeg, MB, Canada;

关键词: Arthroplasty;    Clinical registry;    Health-related quality of life;    Measurement bias;   

DOI  :  10.1186/s12955-019-1166-1

来源: publisher

【 摘 要 】

BackgroundJoint replacement, an increasingly common procedure amongst older adults, can substantially improve health-related quality of life (HRQoL). However, differential item functioning (DIF) may affect the accurate interpretation of differences in HRQoL amongst patients with different demographic and health status characteristics but the same underlying (i.e., latent) level of the investigated construct. This study tested for DIF in pre-operative SF-12 physical health (PH) and mental health (MH) sub-scale items amongst patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA).MethodsData were from a population-based joint replacement registry from the Canadian province of Manitoba. TKA and THA patients who had surgery between 2009 and 2015 and completed a pre-operative assessment were included. DIF was tested using the multiple indicators multiple causes (MIMIC) method with sex, age group, body weight status, and presence of multiple comorbid conditions (i.e., multimorbidity) as covariates. Analyses were stratified by joint type.ResultsThe study cohort included 8820 patients; 42.1% underwent THA, 57.3% were female, 32.7% were 70+ years, and 52.8% were obese. For each sub-scale, four of the six items exhibited DIF in both THA and TKA groups. Differences in the covariate effect estimates for DIF and No-DIF models on the MH latent variable were largest for age and body weight status for the THA group, and for sex and multimorbidity for the TKA group. All of the differences were small for PH. Multimorbidity had the strongest association with PH and age and sex had the strongest association with MH in the DIF models.ConclusionsDemographic and health status characteristics influenced SF-12 PH and MH item responses in joint replacement populations, although the size of the effects were not large for PH. We recommend testing and adjusting for DIF effects to ensure comparability of HRQoL measures in joint replacement populations.

【 授权许可】

CC BY