↓ Skip to main content

Generalized cost-effectiveness analysis for national-level priority-setting in the health sector

Overview of attention for article published in Cost Effectiveness and Resource Allocation, December 2003
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 533)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

policy
5 policy sources
twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
412 Dimensions

Readers on

mendeley
471 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Generalized cost-effectiveness analysis for national-level priority-setting in the health sector
Published in
Cost Effectiveness and Resource Allocation, December 2003
DOI 10.1186/1478-7547-1-8
Pubmed ID
Authors

Raymond Hutubessy, Dan Chisholm, Tessa Tan-Torres Edejer, WHO-CHOICE

Abstract

Cost-effectiveness analysis (CEA) is potentially an important aid to public health decision-making but, with some notable exceptions, its use and impact at the level of individual countries is limited. A number of potential reasons may account for this, among them technical shortcomings associated with the generation of current economic evidence, political expediency, social preferences and systemic barriers to implementation. As a form of sectoral CEA, Generalized CEA sets out to overcome a number of these barriers to the appropriate use of cost-effectiveness information at the regional and country level. Its application via WHO-CHOICE provides a new economic evidence base, as well as underlying methodological developments, concerning the cost-effectiveness of a range of health interventions for leading causes of, and risk factors for, disease.The estimated sub-regional costs and effects of different interventions provided by WHO-CHOICE can readily be tailored to the specific context of individual countries, for example by adjustment to the quantity and unit prices of intervention inputs (costs) or the coverage, efficacy and adherence rates of interventions (effectiveness). The potential usefulness of this information for health policy and planning is in assessing if current intervention strategies represent an efficient use of scarce resources, and which of the potential additional interventions that are not yet implemented, or not implemented fully, should be given priority on the grounds of cost-effectiveness.Health policy-makers and programme managers can use results from WHO-CHOICE as a valuable input into the planning and prioritization of services at national level, as well as a starting point for additional analyses of the trade-off between the efficiency of interventions in producing health and their impact on other key outcomes such as reducing inequalities and improving the health of the poor.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 471 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Brazil 3 <1%
Canada 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Indonesia 1 <1%
Nepal 1 <1%
Czechia 1 <1%
India 1 <1%
Other 5 1%
Unknown 448 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 97 21%
Researcher 95 20%
Student > Ph. D. Student 48 10%
Other 33 7%
Student > Doctoral Student 27 6%
Other 89 19%
Unknown 82 17%
Readers by discipline Count As %
Medicine and Dentistry 156 33%
Economics, Econometrics and Finance 45 10%
Social Sciences 38 8%
Nursing and Health Professions 33 7%
Agricultural and Biological Sciences 18 4%
Other 68 14%
Unknown 113 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2022.
All research outputs
#1,852,545
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#29
of 533 outputs
Outputs of similar age
#3,737
of 143,198 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#1
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 533 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 143,198 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them