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Resource allocation strategies in Southeastern European health policy

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, November 2012
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Title
Resource allocation strategies in Southeastern European health policy
Published in
HEPAC Health Economics in Prevention and Care, November 2012
DOI 10.1007/s10198-012-0439-y
Pubmed ID
Authors

Mihajlo B. Jakovljevic

Abstract

The past 23 years of post-socialist restructuring of health system funding and management patterns has brought many changes to small Balkan markets, putting them under increasing pressure to keep pace with advancing globalization. Socioeconomic inequalities in healthcare access are still growing across the region. This uneven development is marked by the substantial difficulties encountered by local governments in delivering medical services to broad sectors of the population. This paper presents the results of a systematic review of the following evidence: published reports on health system reforms in the region commissioned by WHO, IMF, World Bank, OECD, European Commission; all available published evidence on health economics, funding, reimbursement in world/local languages since 1989 indexed at Medline, Excerpta Medica and Google Scholar; in depth analysis of official website data on medical care financing related legislation among key public institutions such as national Ministries of health, Health Insurance Funds, Professional Associations were applicable, in local languages; correspondence with key opinion leaders in the field in their respective communities. Contributors were asked to answer a particular set of questions related to the issue, thus enlightening fresh legislative developments and hidden patterns of policy maker's behavior. Cost awareness is slowly expanding in regional management, academic and industrial establishment. The study provides an exact and comprehensive description of its current extent and legislative framework. Western Balkans policy makers would profit substantially from health-economics-based decision-making to cope with increasing difficulties in funding and delivering medical care in emerging markets with a rapidly growing demand for health services.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 23%
Student > Ph. D. Student 16 13%
Researcher 12 10%
Other 7 6%
Student > Bachelor 6 5%
Other 23 18%
Unknown 32 26%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Economics, Econometrics and Finance 15 12%
Social Sciences 14 11%
Business, Management and Accounting 10 8%
Nursing and Health Professions 9 7%
Other 19 15%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 November 2012.
All research outputs
#22,834,739
of 25,460,914 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#1,216
of 1,308 outputs
Outputs of similar age
#174,231
of 194,920 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#8
of 12 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 194,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.