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.
The objective of this study was to determine the effects of a homebased telemonitoring device, The Health Buddy (HB), on health consumption and health-related quality of life (HRQoL) in patients with moderate to severe chronic obstructive pulmonary disease (COPD). The HB provides daily symptom-surveillance by a case manager and education to enhance disease knowledge and self-management. A nonrandomized controlled multicenter study was established comparing the effectiveness of telemonitoring as an add-on to care as usual with a follow-up of 6 months. Four hospitals took part in the experimental group and 2 hospitals formed an equivalent control group with 59 and 56 patients, respectively. HRQoL was measured by the Clinical COPD Questionnaire. Healthcare consumption was assessed using medical records in the 6 months preceding study entry and during the study. Compared with the control group, the HB group showed a significant decrease in hospital admission rates (HB -0.11 +/- 1.16 vs. control +0.27 +/- 1.0, p = 0.02) and in the total number of exacerbations (HB -0.35 +/- 1.4 vs. control +0.32 +/- 1.2, p = 0.004). There was a tendency toward decreased hospital days and outpatient visits. No significant changes in HRQoL were observed at follow-up between both study groups. Despite inherent limitations of the study, these findings suggest that adopting telemonitoring in everyday clinical practice is feasible and can substantially improve care and decrease healthcare utilization of patients with moderate to severe COPD.
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