| Title |
Social Network Analysis in Healthcare Settings: A Systematic Scoping Review
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0041911 |
| Pubmed ID | |
| Authors |
Duncan Chambers, Paul Wilson, Carl Thompson, Melissa Harden |
| Abstract |
Social network analysis (SNA) has been widely used across a range of disciplines but is most commonly applied to help improve the effectiveness and efficiency of decision making processes in commercial organisations. We are utilising SNA to inform the development and implementation of tailored behaviour-change interventions to improve the uptake of evidence into practice in the English National Health Service. To inform this work, we conducted a systematic scoping review to identify and evaluate the use of SNA as part of an intervention to support the implementation of change in healthcare settings. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 25% |
| United States | 6 | 25% |
| Comoros | 1 | 4% |
| Turkey | 1 | 4% |
| Australia | 1 | 4% |
| Hungary | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
| Scientists | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 447 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | <1% |
| United States | 3 | <1% |
| Spain | 3 | <1% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 428 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 19% |
| Researcher | 59 | 13% |
| Student > Master | 59 | 13% |
| Student > Doctoral Student | 33 | 7% |
| Other | 22 | 5% |
| Other | 100 | 22% |
| Unknown | 90 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 79 | 18% |
| Medicine and Dentistry | 75 | 17% |
| Nursing and Health Professions | 38 | 9% |
| Computer Science | 27 | 6% |
| Business, Management and Accounting | 27 | 6% |
| Other | 98 | 22% |
| Unknown | 103 | 23% |