Title |
Patchy ‘coherence’: using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC)
|
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Published in |
Implementation Science, September 2013
|
DOI | 10.1186/1748-5908-8-102 |
Pubmed ID | |
Authors |
Amy Lloyd, Natalie Joseph-Williams, Adrian Edwards, Andrew Rix, Glyn Elwyn |
Abstract |
Implementing shared decision making into routine practice is proving difficult, despite considerable interest from policy-makers, and is far more complex than merely making decision support interventions available to patients. Few have reported successful implementation beyond research studies. MAking Good Decisions In Collaboration (MAGIC) is a multi-faceted implementation program, commissioned by The Health Foundation (UK), to examine how best to put shared decision making into routine practice. In this paper, we investigate healthcare professionals' perspectives on implementing shared decision making during the MAGIC program, to examine the work required to implement shared decision making and to inform future efforts. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 32% |
Canada | 2 | 11% |
United States | 1 | 5% |
Belgium | 1 | 5% |
Netherlands | 1 | 5% |
Unknown | 8 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 47% |
Practitioners (doctors, other healthcare professionals) | 5 | 26% |
Scientists | 4 | 21% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
United Kingdom | 3 | 1% |
Indonesia | 1 | <1% |
Spain | 1 | <1% |
Argentina | 1 | <1% |
Unknown | 259 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 48 | 18% |
Student > Ph. D. Student | 45 | 17% |
Student > Master | 35 | 13% |
Other | 20 | 7% |
Student > Doctoral Student | 15 | 6% |
Other | 57 | 21% |
Unknown | 51 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 60 | 22% |
Psychology | 40 | 15% |
Social Sciences | 39 | 14% |
Nursing and Health Professions | 19 | 7% |
Decision Sciences | 11 | 4% |
Other | 41 | 15% |
Unknown | 61 | 23% |