Data from: Patient and disease characteristics associated with activation for self-management in patients with diabetes, chronic obstructive pulmonary disease, chronic heart failure and chronic renal disease: a cross-sectional survey study

A substantial proportion of chronic disease patients do not respond to
self-management interventions, which suggests that one size interventions
do not fit all, demanding more tailored interventions. To compose more
individualized strategies, we aim to increase our understanding of
characteristics associated with patient activation for self-management and
to evaluate whether these are disease-transcending. A cross-sectional
survey study was conducted in primary and secondary care in patients with
type-2 Diabetes Mellitus (DM-II), Chronic Obstructive Pulmonary Disease
(COPD), Chronic Heart Failure (CHF) and Chronic Renal Disease (CRD). Using
multiple linear regression analysis, we analyzed associations between
self-management activation (13-item Patient Activation Measure; PAM-13)
and a wide range of socio-demographic, clinical, and psychosocial
determinants. Furthermore, we assessed whether the associations between
the determinants and the PAM were disease-transcending by testing whether
disease was an effect modifier. In addition, we identified determinants
associated with low activation for self-management using logistic
regression analysis. We included 1154 patients (53% response rate); 422
DM-II patients, 290 COPD patients, 223 HF patients and 219 CRD patients.
Mean age was 69.6±10.9. Multiple linear regression analysis revealed 9
explanatory determinants of activation for self-management: age, BMI,
educational level, financial distress, physical health status, depression,
illness perception, social support and underlying disease, explaining a
variance of 16.3%. All associations, except for social support, were
disease transcending. This study explored factors associated with varying
levels of activation for self-management. These results are a first step
in supporting clinicians and researchers to identify subpopulations of
chronic disease patients less likely to be engaged in self-management.
Increased scientific efforts are needed to explain the greater part of the
factors that contribute to the complex nature of patient activation for
self-management.