Title |
Barriers and opportunities for evidence-based health service planning: the example of developing a Decision Analytic Model to plan services for sexually transmitted infections in the UK
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Published in |
BMC Health Services Research, July 2012
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DOI | 10.1186/1472-6963-12-202 |
Pubmed ID | |
Authors |
Catherine R H Aicken, Nigel T Armstrong, Jackie A Cassell, Neil Macdonald, Angela C Bailey, Sandra A Johnson, Catherine H Mercer |
Abstract |
Decision Analytic Models (DAMs) are established means of evidence-synthesis to differentiate between health interventions. They have mainly been used to inform clinical decisions and health technology assessment at the national level, yet could also inform local health service planning. For this, a DAM must take into account the needs of the local population, but also the needs of those planning its services. Drawing on our experiences from stakeholder consultations, where we presented the potential utility of a DAM for planning local health services for sexually transmitted infections (STIs) in the UK, and the evidence it could use to inform decisions regarding different combinations of service provision, in terms of their costs, cost-effectiveness, and public health outcomes, we discuss the barriers perceived by stakeholders to the use of DAMs to inform service planning for local populations, including (1) a tension between individual and population perspectives; (2) reductionism; and (3) a lack of transparency regarding models, their assumptions, and the motivations of those generating models. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 50% |
Mexico | 1 | 25% |
Canada | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 11 | 20% |
Researcher | 7 | 13% |
Student > Ph. D. Student | 5 | 9% |
Librarian | 3 | 5% |
Student > Doctoral Student | 3 | 5% |
Other | 15 | 27% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 24% |
Business, Management and Accounting | 5 | 9% |
Nursing and Health Professions | 4 | 7% |
Social Sciences | 4 | 7% |
Economics, Econometrics and Finance | 2 | 4% |
Other | 13 | 24% |
Unknown | 14 | 25% |