Predicting outcomes following holistic breathlessness services: A pooled analysis of individual patient data:

Background:Holistic breathlessness services have been developed for people with advanced disease and chronic breathlessness, leading to improved psychological aspects of breathlessness and health. The extent to which patient characteristics influence outcomes is unclear.Aim:To identify patient characteristics predicting outcomes of mastery and distress due to breathlessness following holistic breathlessness services.Design:Secondary analysis of pooled individual patient data from three clinical trials. Our primary analysis assessed predictors of clinically important improvements in Chronic Respiratory Questionnaire mastery scores (+0.5 point), and our secondary analysis predictors of improvements in Numerical Rating Scale distress due to breathlessness (−1 point). Variables significantly related to improvement in univariate models were considered in separate backwards stepwise logistic regression models.Participants:The dataset comprised 259 participants (118 female; mean (standard deviation) age 69.2 (10...