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Do economic evaluation studies inform effective healthcare resource allocation in Iran? A critical review of the literature

Overview of attention for article published in Cost Effectiveness and Resource Allocation, July 2014
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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Title
Do economic evaluation studies inform effective healthcare resource allocation in Iran? A critical review of the literature
Published in
Cost Effectiveness and Resource Allocation, July 2014
DOI 10.1186/1478-7547-12-15
Pubmed ID
Authors

Hassan Haghparast-Bidgoli, Aliasghar Ahmad Kiadaliri, Jolene Skordis-Worrall

Abstract

To aid informed health sector decision-making, data from sufficient high quality economic evaluations must be available to policy makers. To date, no known study has analysed the quantity and quality of available Iranian economic evaluation studies. This study aimed to assess the quantity, quality and targeting of economic evaluation studies conducted in the Iranian context. The study systematically reviewed full economic evaluation studies (n = 30) published between 1999 and 2012 in international and local journals. The findings of the review indicate that although the literature on economic evaluation in Iran is growing, these evaluations were of poor quality and suffer from several major methodological flaws. Furthermore, the review reveals that economic evaluation studies have not addressed the major health problems in Iran. While the availability of evidence is no guarantee that it will be used to aid decision-making, the absence of evidence will certainly preclude its use. Considering the deficiencies in the data identified by this review, current economic evaluations cannot be a useful source of information for decision makers in Iran. To improve the quality and overall usefulness of economic evaluations we would recommend; 1) developing clear national guidelines for the conduct of economic evaluations, 2) highlighting priority areas where information from such studies would be most useful and 3) training researchers and policy makers in the calculation and use of economic evaluation data.

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X Demographics

The data shown below were collected from the profiles of 6 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 6 15%
Student > Postgraduate 6 15%
Student > Doctoral Student 5 13%
Lecturer 2 5%
Other 5 13%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Nursing and Health Professions 6 15%
Economics, Econometrics and Finance 4 10%
Business, Management and Accounting 3 8%
Social Sciences 3 8%
Other 4 10%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 July 2014.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#248
of 533 outputs
Outputs of similar age
#71,931
of 241,394 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 gotten more attention than average, scoring higher than 52% 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 241,394 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 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