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Using morbidity and income data to forecast the variation of growth and employment in the oral healthcare sector

Overview of attention for article published in Health Economics Review, March 2016
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Title
Using morbidity and income data to forecast the variation of growth and employment in the oral healthcare sector
Published in
Health Economics Review, March 2016
DOI 10.1186/s13561-016-0088-4
Pubmed ID
Authors

Dennis A. Ostwald, David Klingenberger

Abstract

The perception of the health sector from an economic policy point of view is changing. In the past, health expenditure was mostly seen as a "cost" item, probably because many medical treatments are covered by public health insurance. However, policymakers are increasingly realizing that a growing health sector may be quite beneficial for an economy. It creates employment opportunities and it is relatively resistant to the fluctuations of the business cycle. Input-output analysis could be a useful tool to study the structural change resulting from the growth of the health sector. This paper quantifies for the first time the economic significance of the oral healthcare sector as a component of the German healthcare sector as a whole. The current data for the healthcare sector comes from Health Satellite Accounts, which while comprehensive do fail to answer important questions due to not incorporating certain sectors such as the oral healthcare sector. Therefore on the basis of the Health Satellite Account a specific Satellite Account for the oral healthcare sector is created by using billing data as well as epidemiological data, provided by several dental associations and the Institute of German Dentists. Based on this added information, gross value added data and the number of employees in the oral healthcare sector are computed. Gross value added in 2010 amounted to €13.4 billion, with around €4 billion being attributable to the secondary oral healthcare market; the market for solely out-of-pocket payments. In a second step the paper develops a model to forecast oral healthcare sector growth based on various explanatory variables such as demographic change, take-up behaviour, medical-technical progress, oral morbidity, aggregated supply (collective dental treatment times) as well as income levels and distribution, where the latter two are considered to be of particular importance. According to this model, by 2030 gross value added in the oral healthcare sector will amount to €15.9 million, which corresponds to a 19.2 % increase. The secondary oral healthcare market will be the key to this increase since the model predicts a disproportionately high growth of 60.3 % bringing the total to €6.3 million gross value added in 2030.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Researcher 2 13%
Student > Bachelor 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 33%
Medicine and Dentistry 3 20%
Business, Management and Accounting 2 13%
Nursing and Health Professions 1 7%
Psychology 1 7%
Other 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2017.
All research outputs
#14,254,293
of 22,856,968 outputs
Outputs from Health Economics Review
#221
of 429 outputs
Outputs of similar age
#159,282
of 299,781 outputs
Outputs of similar age from Health Economics Review
#6
of 8 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 44th percentile – i.e., 44% 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 299,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.