Modeling zero-modified count and semicontinuous data in health services research part 2: case studies

2016 ◽  
Vol 35 (27) ◽  
pp. 5094-5112 ◽  
Author(s):  
Brian Neelon ◽  
A. James O'Malley ◽  
Valerie A. Smith
1996 ◽  
Vol 1 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Martin Buxton ◽  
Steve Hanney

Throughout the world there is a growing recognition that health care should be research-led. This strengthens the requirement for expenditure on health services research to be justified by demonstrating the benefits it produces. However, payback from health research and development is a complex concept and little used term. Five main categories of payback can be identified: Knowledge; research benefits; political and administrative benefits; health sector benefits; and broader economic benefits. Various models of research utilization together with previous assessments of payback from research helped in the development of a new conceptual model of how and where payback may occur. The model combines an input-output perspective with an examination of the permeable interfaces between research and its environment. The model characterizes research projects in terms of Inputs, Processes, and Primary Outputs. The last consist of knowledge and research benefits. There are two interfaces between the project and its environment. The first (Project Specification, Selection and Commissioning) is the link with Research Needs Assessment. The second (Dissemination) should lead to Secondary Outputs (which are policy or administrative decisions), and usually Applications (which take the form of behavioural changes), from which Impacts or Final Outcomes result. It is at this final stage that health and wider economic benefits can be measured. A series of case studies were used to assess the feasibility both of applying the model and the payback categorization. The paper draws various conclusions from the case studies and identifies a range of issues for further work.


2005 ◽  
Author(s):  
Ruth Elwood Martin ◽  
Greg Hislop ◽  
Veronika Moravan ◽  
Garry Grams ◽  
Betty Calam

2007 ◽  
Vol 30 (4) ◽  
pp. 33
Author(s):  
D. Rosenfield ◽  
C. Abrahams ◽  
S. Verma

The maldistribution of and lack of access to health professionals continues to be a major issue for policymakers at all levels of government. Additionally, the basis by which Health Human Resource (HHR) policy is determined is unclear. Publications found in independent reports, peer-reviewed journals and most importantly, grey literature, can significantly influence or inform major policy decisions for “hot button” HHR issues (1) . We propose a framework that can be used to classify, rank and evaluate HHR policy/planning documents. Our framework creates six major criteria that are used to evaluate policy documents. These criteria are: 1) literature review, 2) source of primary information, 3) nature of recommendations, 4) implementation strategies, 5) credibility of authors and 6) credibility of publisher. Within each category, a score from zero to three (for criteria 1-4) or zero to two (criteria 5-6) is assigned, depending on the caliber of the document. Summing the scores from each section yields a document’s overall score. The intent of this measure is two-fold. Firstly, we want to create a tool that can be widely utilized by policymakers to help inform their decisions. Secondly, it can be used as a springboard to stimulate discussion and debate around HHR planning and policy formulation. National Information Center on Health Services Research and Health Care Technology. (NICHSR) Health Services Research and Health Policy Grey Literature Project: Summary Report. 2006. http://www.nlm.nih.gov/ nichsr/greylitreport_06.html. Accessed February 20, 2007.


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