Title |
Strengthening evaluation and implementation by specifying components of behaviour change interventions: a study protocol
|
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Published in |
Implementation Science, February 2011
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DOI | 10.1186/1748-5908-6-10 |
Pubmed ID | |
Authors |
Susan Michie, Charles Abraham, Martin P Eccles, Jill J Francis, Wendy Hardeman, Marie Johnston |
Abstract |
The importance of behaviour change in improving health is illustrated by the increasing investment by funding bodies in the development and evaluation of complex interventions to change population, patient, and practitioner behaviours. The development of effective interventions is hampered by the absence of a nomenclature to specify and report their content. This limits the possibility of replicating effective interventions, synthesising evidence, and understanding the causal mechanisms underlying behaviour change. In contrast, biomedical interventions are precisely specified (e.g., the pharmacological 'ingredients' of prescribed drugs, their dose and frequency of administration). For most complex interventions, the precise 'ingredients' are unknown; descriptions (e.g., 'behavioural counseling') can mean different things to different researchers or implementers. The lack of a method for specifying complex interventions undermines the precision of evidence syntheses of effectiveness, posing a problem for secondary, as well as primary, research.We aim to develop a reliable method of specifying intervention components ('techniques') aimed at changing behaviour. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 45% |
United States | 1 | 9% |
Ireland | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 1% |
Canada | 3 | <1% |
United States | 2 | <1% |
Norway | 2 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Portugal | 1 | <1% |
Malta | 1 | <1% |
Malaysia | 1 | <1% |
Other | 2 | <1% |
Unknown | 486 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 104 | 21% |
Researcher | 89 | 18% |
Student > Master | 69 | 14% |
Student > Doctoral Student | 31 | 6% |
Student > Bachelor | 30 | 6% |
Other | 104 | 21% |
Unknown | 80 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 111 | 22% |
Medicine and Dentistry | 78 | 15% |
Social Sciences | 76 | 15% |
Nursing and Health Professions | 45 | 9% |
Computer Science | 21 | 4% |
Other | 80 | 16% |
Unknown | 96 | 19% |