Title |
Applying a Health Network approach to translate evidence-informed policy into practice: A review and case study on musculoskeletal health
|
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Published in |
BMC Health Services Research, November 2012
|
DOI | 10.1186/1472-6963-12-394 |
Pubmed ID | |
Authors |
Andrew M Briggs, Peter Bragge, Helen Slater, Madelynn Chan, Simon CB Towler |
Abstract |
While translation of evidence into health policy and practice is recognised as critical to optimising health system performance and health-related outcomes for consumers, mechanisms to effectively achieve these goals are neither well understood, nor widely communicated. Health Networks represent a framework which offers a possible solution to this dilemma, particularly in light of emerging evidence regarding the importance of establishing relationships between stakeholders and identifying clinical leaders to drive evidence integration and translation into policy. This is particularly important for service delivery related to chronic diseases. In Western Australia (WA), disease and population-specific Health Networks are comprised of cross-discipline stakeholders who work collaboratively to develop evidence-informed policies and drive their implementation. Since establishment of the Health Networks in WA, over 50 evidence-informed Models of Care (MoCs) have been produced across 18 condition or population-focused Networks. The aim of this paper is to provide an overview of the Health Network framework in facilitating the translation of evidence into policy and practice with a particular focus on musculoskeletal health. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 3 | 27% |
Spain | 1 | 9% |
United Kingdom | 1 | 9% |
Argentina | 1 | 9% |
United States | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 55% |
Scientists | 4 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 2% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 129 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 25 | 19% |
Student > Ph. D. Student | 17 | 13% |
Student > Master | 16 | 12% |
Student > Doctoral Student | 8 | 6% |
Librarian | 7 | 5% |
Other | 29 | 22% |
Unknown | 31 | 23% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 34 | 26% |
Nursing and Health Professions | 19 | 14% |
Social Sciences | 15 | 11% |
Economics, Econometrics and Finance | 6 | 5% |
Business, Management and Accounting | 6 | 5% |
Other | 19 | 14% |
Unknown | 34 | 26% |