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Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 100448
Author(s):  
Nancy Garrett ◽  
Jeremy A. Bikah Bi Nguema Engoang ◽  
Stephen Rubin ◽  
Katherine Diaz Vickery ◽  
Tyler N.A. Winkelman

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e31800 ◽  
Author(s):  
James W. Rudge ◽  
Piya Hanvoravongchai ◽  
Ralf Krumkamp ◽  
Irwin Chavez ◽  
Wiku Adisasmito ◽  
...  

2011 ◽  
Vol 27 (2) ◽  
pp. NP713-NP733 ◽  
Author(s):  
Wiku Adisasmito ◽  
Benjamin M. Hunter ◽  
Ralf Krumkamp ◽  
Kamal Latief ◽  
James W. Rudge ◽  
...  

2010 ◽  
Vol 139 (1) ◽  
pp. 59-67 ◽  
Author(s):  
R. KRUMKAMP ◽  
M. KRETZSCHMAR ◽  
J. W. RUDGE ◽  
A. AHMAD ◽  
P. HANVORAVONGCHAI ◽  
...  

SUMMARYWe used a mathematical model to describe a regional outbreak and extrapolate the underlying health-service resource needs. This model was designed to (i) estimate resource gaps and quantities of resources needed, (ii) show the effect of resource gaps, and (iii) highlight which particular resources should be improved. We ran the model, parameterized with data from the 2009 H1N1v pandemic, for two provinces in Thailand. The predicted number of preventable deaths due to resource shortcomings and the actual resource needs are presented for two provinces and for Thailand as a whole. The model highlights the potentially huge impact of health-system resource availability and of resource gaps on health outcomes during a pandemic and provides a means to indicate where efforts should be concentrated to effectively improve pandemic response programmes.


2002 ◽  
Vol 25 (3) ◽  
pp. 171 ◽  
Author(s):  
Christine Pollicino ◽  
Rosalie Viney ◽  
Marion Haas

A key challenge for evaluators and health system planners is the identification, measurement and valuation of resource use for economic evaluation. Accurately capturing all significant resource use is particularly difficult in the Australian context where there is no comprehensive database from which researchers can draw. Evaluators and health system planners need to consider different approaches to data collection for estimating resource use for economic evaluation, and the relative merits of the different data sources available. This paper illustrates the issues that arise in using different data sources using a sub-sample of the data being collected for an economic evaluation. Specifically, it compares the use of Australia's largest administrative database on resource use, the Health Insurance Commission database, with the use of patient-supplied data. The extent of agreement and discrepancies between the two data sources is investigated. Findings from this study and recommendations as to how to deal with different data sources are presented.


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