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

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dc.contributor.authorYadegari, Iraj
dc.contributor.authorBohm, Eric
dc.contributor.authorAyilara, Olawale F
dc.contributor.authorZhang, Lixia
dc.contributor.authorSawatzky, Richard
dc.contributor.authorSajobi, Tolulope T
dc.contributor.authorLix, Lisa M
dc.date.accessioned2019-07-07T00:08:28Z
dc.date.available2019-07-07T00:08:28Z
dc.date.issued2019-07-02
dc.date.updated2019-07-07T00:08:28Z
dc.description.abstractAbstract Background Joint 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). Methods Data 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. Results The 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. Conclusions Demographic 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.
dc.identifier.citationHealth and Quality of Life Outcomes. 2019 Jul 02;17(1):114
dc.identifier.doihttps://doi.org/10.1186/s12955-019-1166-1
dc.identifier.urihttp://hdl.handle.net/1880/110595
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dc.titleDifferential item functioning of the SF-12 in a population-based regional joint replacement registry
dc.typeJournal Article
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