Your browser doesn't support javascript.
loading
Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures.
Sajobi, Tolulope T; Sanusi, Ridwan A; Mayo, Nancy E; Sawatzky, Richard; Kongsgaard Nielsen, Lene; Sebille, Veronique; Liu, Juxin; Bohm, Eric; Awosoga, Oluwagbohunmi; Norris, Colleen M; Wilton, Stephen B; James, Matthew T; Lix, Lisa M.
Afiliação
  • Sajobi TT; Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada. ttsajobi@ucalgary.ca.
  • Sanusi RA; Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Mayo NE; Center for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Center, McGill University, Montreal, Canada.
  • Sawatzky R; School of Nursing, Trinity Western University, Langley, British Columbia, Canada.
  • Kongsgaard Nielsen L; Centre for Advancing Health Outcomes, University of British Columbia, Vancouver, Canada.
  • Sebille V; Quality of Life Research Center, Odense University Hospital, Odense, Denmark.
  • Liu J; Department of Hematolgy, Gødstrup Hospital, Herning, Denmark.
  • Bohm E; Nantes Université, Université de Tours, CHU Nantes, INSERM, methodS in Patient-Centered Outcomes and HEalth ResEarch, SPHERE, 44000, Nantes, France.
  • Awosoga O; Department of Mathematics & Statistics, University of Saskatchewan, Saskatoon, Canada.
  • Norris CM; Department of Surgery, University of Manitoba, Winnipeg, Canada.
  • Wilton SB; Faculty of Health Sciences, University of Lethbridge, Lethbridge, Canada.
  • James MT; Faculty of Nursing, University of Alberta, Edmonton, Canada.
  • Lix LM; Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada.
Qual Life Res ; 33(3): 853-864, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38127205
ABSTRACT

PURPOSE:

Unsupervised item-response theory (IRT) models such as polytomous IRT based on recursive partitioning (IRTrees) and mixture IRT (MixIRT) models can be used to assess differential item functioning (DIF) in patient-reported outcome measures (PROMs) when the covariates associated with DIF are unknown a priori. This study examines the consistency of results for IRTrees and MixIRT models.

METHODS:

Data were from 4478 individuals in the Alberta Provincial Project on Outcome Assessment in Coronary Heart Disease registry who received cardiac angiography in Alberta, Canada, and completed the Hospital Anxiety and Depression Scale (HADS) depression subscale items. The partial credit model (PCM) based on recursive partitioning (PCTree) and mixture PCM (MixPCM) were used to identify covariates associated with differential response patterns to HADS depression subscale items. Model covariates included demographic and clinical characteristics.

RESULTS:

The median (interquartile range) age was 64.5(15.7) years, and 3522(78.5%) patients were male. The PCTree identified 4 terminal nodes (subgroups) defined by smoking status, age, and body mass index. A 3-class PCM fits the data well. The MixPCM latent classes were defined by age, disease indication, smoking status, comorbid diabetes, congestive heart failure, and chronic obstructive pulmonary disease.

CONCLUSION:

PCTree and MixPCM were not consistent in detecting covariates associated with differential interpretations of PROM items. Future research will use computer simulations to assess these models' Type I error and statistical power for identifying covariates associated with DIF.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Medidas de Resultados Relatados pelo Paciente Limite: Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Medidas de Resultados Relatados pelo Paciente Limite: Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article