Full text met een HU Account Objective: To quantify diversity in components of self-management interventions and explore which components are associated with improvement in health-related quality of life (HRQoL) in patients with chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD), or type 2 diabetes mellitus (T2DM). Methods: Systematic literature search was conducted from January 1985 through June 2013. Included studies were randomised trials in patients with CHF, COPD, or T2DM, comparing self-management interventions with usual care, and reporting data on disease-specific HRQoL. Data were analysed with weighted random effects linear regression models. Results: 47 trials were included, representing 10,596 patients. Self-management interventions showed great diversity in mode, content, intensity, and duration. Although self-management interventions overall improved HRQoL at 6 and 12 months, meta-regression showed counterintuitive negative effects of standardised training of interventionists (SMD = 0.16, 95% CI: 0.31 to 0.01) and peer interaction (SMD = 0.23, 95% CI 0.39 to 0.06) on HRQoL at 6 months. Conclusion: Self-management interventions improve HRQoL at 6 and 12 months, but interventions evaluated are highly heterogeneous. No components were identified that favourably affected HRQoL. Standardised training and peer interaction negatively influenced HRQoL, but the underlying mechanism remains unclear. Practice implications: Future research should address process evaluations and study response to selfmanagement on the level of individual patients
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Background: Self-management support is considered an important component in the physiotherapeutic treatment of people with chronic low back pain. The stratified blended physiotherapy intervention e-Exercise Low Back Pain is an example of a self-management intervention. More insight may contribute to improving blended interventions to stimulate self-management after treatment and thus hopefully prevent chronicity and/or relapses in patients with chronic low back pain. Objectives: The aim of this study was to gain an in-depth understanding of the self-management behaviour after a physiotherapist guided blended self-management intervention in people with chronic low back pain. Design: A qualitative study with semi-structured interviews nested within a randomized controlled trial on the (cost-)effectiveness of e-Exercise Low Back Pain was conducted. Method: Thematic analysis was used to analyse the transcriptions. A hybrid process of both deductive and inductive approaches was used. Results: After 12 interviews, data saturation was reached. Analysis of the data yielded six themes related to self-management behaviour: illness beliefs, coping, cognitions, social support and resource utilization, physiotherapeutic involvement and motivation. Conclusions: In our study the majority of the participants seemed to show adequate self-management behaviour when experiencing low back pain. Most participants first try to gain control over their low back pain themselves when experiencing a relapse before contacting the physiotherapist. Participants struggle in continuing health behaviour in pain free periods between relapses of low back pain. Physiotherapists are recommended to encourage long-term behaviour change. Additionally, better facilitation by the physiotherapist or additional functionalities in the app to stimulate social support might have a useful contribution.
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Background: Changes in reimbursement have been compelling for Dutch primary care practices to apply a disease management approach for patients with chronic obstructive pulmonary disease (COPD). This approach includes individual patient consultations with a practice nurse, who coaches patients in COPD management. The aim of this study was to gauge the feasibility of adding a web-based patient self-management support application, by assessing patients’ self-management, patients’ health status, the impact on the organization of care, and the level of application use and appreciation. Methods: The study employed a mixed methods design. Six practice nurses recruited COPD patients during a consultation. The e-Health application included a questionnaire that captured information on demographics, self-management related behaviors (smoking cessation, physical activity and medication adherence) and their determinants, and nurse recommendations. The application provided tailored feedback messages to patients and provided the nurse with reports. Data were collected through questionnaires and medical record abstractions at baseline and one year later. Semi-structured interviews with patients and nurses were conducted. Descriptive statistics were calculated for quantitative data and content analysis was used to analyze the qualitative data. Results: Eleven patients, recruited by three nurses, used the application 1 to 7 times (median 4). Most patients thought that the application supported self-management, but their interest diminished after multiple uses. Impact on patients’ health could not be determined due to the small sample size. Nurses reported benefits for the organization of care and made suggestions to optimize the use of the reports. Conclusion: Results suggest that it is possible to integrate a web-based COPD self-management application into the current primary care disease management process. The pilot study also revealed opportunities to improve the application and reports, in order to increase technology use and appreciation.
