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The impact of physician-level drug budgets on prescribing behavior

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, February 2017
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Title
The impact of physician-level drug budgets on prescribing behavior
Published in
HEPAC Health Economics in Prevention and Care, February 2017
DOI 10.1007/s10198-017-0875-9
Pubmed ID
Authors

Katharina Elisabeth Fischer, Taika Koch, Karel Kostev, Tom Stargardt

Abstract

To contain pharmaceutical spending, drug budgets have been introduced across health systems. Apart from analyzing whether drug budgets fulfill their overall goal of reducing spending, changes in the cost and quality of prescribing and the enforcement mechanisms put in place need evaluation to assess the effectiveness of drug budgets at the physician level. In this study, we aim to analyze the cost and quality of prescribing conditional on the level of utilization of the drug budget and in view of varying levels of enforcement in cases of overspending. We observed drug budget utilization in a panel of 440 physicians in three federal states of Germany from 2005 to 2011. At the physician level, we retrospectively calculated drug budgets, the level of drug budget utilization, and differentiated by varying levels of enforcement where physicians overspent their budgets (i.e., more than 115/125% of the drug budget). Using lagged dependent-variable regression models, we analyzed whether the level of drug budget utilization in the previous year affected current prescribing in terms of various indicators to describe the cost and quality of prescribing. We controlled for patient and physician characteristics. The mean drug budget utilization is 92.3%. The level of drug budget utilization influences selected dimensions of cost and quality of prescribing (i.e., generic share (estimate 0.000215; p = 0.0246), concentration of generic brands (estimate 0.000585; p = 0.0056) and therapeutic substances (estimate -0.000060; p < 0.0001) and the share of potentially inappropriate medicines in the elderly (estimate 0.001; p < 0.0001)), whereas the level of enforcement does not. Physicians seem to gradually adjust their prescription patterns, especially in terms of generic substitution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 7 15%
Researcher 5 11%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 13%
Unknown 12 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 15%
Economics, Econometrics and Finance 6 13%
Social Sciences 5 11%
Nursing and Health Professions 4 9%
Medicine and Dentistry 4 9%
Other 6 13%
Unknown 14 30%
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 17 February 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#802
of 1,303 outputs
Outputs of similar age
#228,674
of 431,921 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#20
of 24 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,303 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 36th percentile – i.e., 36% 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 431,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.