Title |
Towards tailoring of self-management for patients with chronic heart failure or chronic obstructive pulmonary disease: a protocol for an individual patient data meta-analysis
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Published in |
BMJ Open, May 2014
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DOI | 10.1136/bmjopen-2014-005220 |
Pubmed ID | |
Authors |
Nini H Jonkman, Heleen Westland, Jaap C A Trappenburg, Rolf H H Groenwold, Tanja W Effing-Tijdhof, Thierry Troosters, Job van der Palen, Jean Bourbeau, Tiny Jaarsma, Arno W Hoes, Marieke J Schuurmans |
Abstract |
Self-management interventions in patients with chronic conditions have received increasing attention over the past few years, yet the meta-analyses encountered considerable heterogeneity in results. This suggests that the effectiveness of self-management interventions must be assessed in the context of which components are responsible for eliciting the effect and in which subgroups of patients the intervention works best. The aim of the present study is to identify condition-transcending determinants of success of self-management interventions in two parallel individual patient data meta-analyses of self-management trials in patients with congestive heart failure (CHF) and in patients with chronic obstructive pulmonary disease (COPD). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Netherlands | 1 | <1% |
Unknown | 99 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 17% |
Researcher | 16 | 16% |
Student > Ph. D. Student | 15 | 15% |
Student > Doctoral Student | 7 | 7% |
Student > Bachelor | 6 | 6% |
Other | 19 | 19% |
Unknown | 22 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 25% |
Nursing and Health Professions | 20 | 20% |
Psychology | 6 | 6% |
Computer Science | 3 | 3% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 17 | 17% |
Unknown | 28 | 27% |