Response shift results of quantitative research using patient-reported outcome measures: a meta-regression analysis.

Purpose: Our objectives were to identify characteristics of response shift studies using patient-reported outcomes (PROMs) that explain variability in (1) the detection and (2) the magnitude of response shift effects.

Methods: We conducted a systematic review of quantitative studies published before June 2023. First, two-level multivariable logistic regression models (effect- and sample-levels) were used to explain variability in the probability of finding a response shift effect.

Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review.

Purpose: The objective of this systematic review was to describe the prevalence and magnitude of response shift effects, for different response shift methods, populations, study designs, and patient-reported outcome measures (PROM)s.

Methods: A literature search was performed in MEDLINE, PSYCINFO, CINAHL, EMBASE, Social Science Citation Index, and Dissertations & Theses Global to identify longitudinal quantitative studies that examined response shift using PROMs, published before 2021. The magnitude of each response shift effect (effect sizes, R-squared or percentage of respondents with response shift) was ascertained based on reported statistical information or as stated in the manuscript.

Effect of Multifactorial Risk Factor Interventions on Atrial Fibrillation: A Systematic Review and Meta-Analysis.

Evidence supports the benefit of managing atrial fibrillation (AF) specific risk factors in secondary prevention of AF. However, a comprehensive summary of the effect of multifactorial risk factor interventions on outcomes of patients with AF over long-term is lacking. We searched MEDLINE, EMBASE, CINAHL, and Cochrane CENTRAL databases from inception to October 2021 for both randomized controlled trials (RCT) and observational studies comparing multifactorial risk factor interventions to usual care in patients with AF.

Association between transition readiness and mental health comorbidity in youth with chronic health conditions.

Purpose: Between 33 and 59% of youth with chronic health conditions experience mental health conditions. Transition readiness, or the acquisition of knowledge and self-management skills, facilitates successful transition to adult care. Transition readiness among youth with co-occurring chronic health and mental health conditions has not been explored.

Repeated measures discriminant analysis using multivariate generalized estimation equations.

Discriminant analysis procedures that assume parsimonious covariance and/or means structures have been proposed for distinguishing between two or more populations in multivariate repeated measures designs. However, these procedures rely on the assumptions of multivariate normality which is not tenable in multivariate repeated measures designs which are characterized by binary, ordinal, or mixed types of response distributions. This study investigates the accuracy of repeated measures discriminant analysis (RMDA) based on the multivariate generalized estimating equations (GEE) framework for classification in multivariate repeated measures designs with the same or different types of responses repeatedly measured over time.

Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.

Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment. Data were from the Precise and Rapid Assessment of Collaterals with Multi-phase CT Angiography (PROVE-IT), an observational study of 614 ischemic stroke patients.

Variable selection in multivariate multiple regression.

Introduction: In many practical situations, we are interested in the effect of covariates on correlated multiple responses. In this paper, we focus on estimation and variable selection in multi-response multiple regression models. Correlation among the response variables must be modeled for valid inference.

Cannabis use is both independently associated with and mediates worse psychosocial health in patients with epilepsy.

Objective: To examine whether cannabis use is associated with or mediates psychosocial health in people with epilepsy.

Methods: Consecutive adult epilepsy patients visiting the Calgary Comprehensive Epilepsy Programme clinic were administered validated patient-reported outcome measures (PROMs) including the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Quality of Life in Epilepsy (QOLIE-10-P), EuroQOL five dimensions five level scale (EQ-5D-5L), Global Assessment of Severity of Epilepsy Scale, Global Assessment of Disability Associated with Seizures Scale and the Treatment Satisfaction Questionnaire for Medication scale. We used multiple regression analyses to investigate associations between cannabis use and PROMs.

Multivariate trajectories across multiple domains of health-related quality of life in children with new-onset epilepsy.

The diagnosis of epilepsy in children is known to impact the trajectory of their health-related quality of life (HRQOL) over time. However, there is limited knowledge about variations in longitudinal trajectories across multiple domains of HRQOL. This study aims to characterize the heterogeneity in HRQOL trajectories across multiple HRQOL domains and to evaluate predictors of differences among the identified trajectory groups in children with new-onset epilepsy.