Predicting who will benefit from an Expert Patients Programme self-management course.
BACKGROUND
In England, the Expert Patients Programme, a lay-led chronic disease self-management course, was developed to improve self-care support and skills. The course is designed for anyone with a self-defined long-term condition, and attracts a heterogeneous group of patients. A randomised controlled trial has demonstrated effectiveness in improving subjective health. However, it is not known whether particular patient characteristics predict the impact of the course.


OBJECTIVE
To determine whether baseline characteristics predict clinical outcomes from attendance at a chronic disease self-management course; and to assess whether identification of such characteristics assists in targeting the course to individuals most likely to benefit.


METHODS
A post-hoc subgroup analysis of data from a randomised controlled trial to explore predictors of three trial outcomes: self-efficacy, energy, and health-related quality of life.


METHODS
Participants with self-defined long-term conditions (n = 629) were recruited from community settings in all 28 strategic health authorities in England.


METHODS
Multiple regression was used to examine interactions between baseline variables and trial outcomes.


RESULTS
The predictors demonstrating significant interactions were: age and general health, and baseline values for self-efficacy, energy levels, and health-related quality of life.


CONCLUSIONS
Participants with lower self-efficacy and health-related quality of life at baseline demonstrated more positive health outcomes. The Expert Patients Programme may have a protective effect on health-related quality of life for patients with poor health and low confidence. Younger people benefited substantially more than older people. Results suggest that positive outcomes associated with the course will be demonstrated with a wide variety of patients, although it may be worthwhile encouraging attendance of younger patients, those lacking confidence, and those coping poorly with their condition.
Reeves
David
D
University of Manchester, National Primary Care Research and Development Centre, Manchester.
Kennedy
Anne
A
Fullwood
Catherine
C
Bower
Peter
P
Gardner
Caroline
C
Gately
Claire
C
Lee
Victoria
V
Richardson
Gerry
G
Rogers
Anne
A
D002908:Chronic Disease / Q000534:rehabilitation*; D006304:Health Status; D006801:Humans; D010353:Patient Education as Topic / Q000379:methods*; D010358:Patient Participation; D018579:Patient Selection; D011788:Quality of Life; D012044:Regression Analysis; D012648:Self Care / Q000379:methods*; D020377:Self Efficacy; D012657:Self-Help Groups