Objective. The purpose of this study is to determine whether patient activation is a changing or changeable characteristic and to assess whether changes in activation also are accompanied by changes in health behavior. Study Methods. To obtain variability in activation and self-management behavior, a controlled trial with chronic disease patients randomized into either intervention or control conditions was employed. In addition, changes in activation that occurred in the total sample were also examined for the study period. Using Mplus growth models, activation latent growth classes were identified and used in the analysis to predict changes in health behaviors and health outcomes. Data Sources. Survey data from the 479 participants were c...
Objective: To examine the relationship between risk factors for low patient activation and change in...
Item does not contain fulltextOBJECTIVE: The aim of this research was to assess the effect of provid...
Integrated delivery systems increasingly seek to identify high-risk patient sub-groups where effecti...
Objective: To explore how patient activation, i.e. patients’ perceived knowledge, skills and self-co...
Background Tailored self-management (SM) interventions are being implemented by health care profess...
The management of chronic conditions in the U.S. requires new strategies to more efficiently mobiliz...
Background: Self-management is key for reducing the burden of disease in chronical illness. However,...
This study involved application of the transtheoretical (TTM) readiness stages of change model to se...
Understanding the factors that activate people to self-manage chronic disease is important in improv...
Patient activation is an important predictor of health outcomes and health care usage, yet we do not...
<div><p>A substantial proportion of chronic disease patients do not respond to self-management inter...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
Abstract Background and Aims: Multimorbidity is a major public health and healthcare challenge arou...
Objective: To examine the relationship between risk factors for low patient activation and change in...
Item does not contain fulltextOBJECTIVE: The aim of this research was to assess the effect of provid...
Integrated delivery systems increasingly seek to identify high-risk patient sub-groups where effecti...
Objective: To explore how patient activation, i.e. patients’ perceived knowledge, skills and self-co...
Background Tailored self-management (SM) interventions are being implemented by health care profess...
The management of chronic conditions in the U.S. requires new strategies to more efficiently mobiliz...
Background: Self-management is key for reducing the burden of disease in chronical illness. However,...
This study involved application of the transtheoretical (TTM) readiness stages of change model to se...
Understanding the factors that activate people to self-manage chronic disease is important in improv...
Patient activation is an important predictor of health outcomes and health care usage, yet we do not...
<div><p>A substantial proportion of chronic disease patients do not respond to self-management inter...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
A substantial proportion of chronic disease patients do not respond to self-management interventions...
Abstract Background and Aims: Multimorbidity is a major public health and healthcare challenge arou...
Objective: To examine the relationship between risk factors for low patient activation and change in...
Item does not contain fulltextOBJECTIVE: The aim of this research was to assess the effect of provid...
Integrated delivery systems increasingly seek to identify high-risk patient sub-groups where effecti...