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The impact of office-based care on hospitalizations for ambulatory care sensitive conditions

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, April 2014
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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1 policy source
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2 X users

Citations

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22 Dimensions

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63 Mendeley
Title
The impact of office-based care on hospitalizations for ambulatory care sensitive conditions
Published in
HEPAC Health Economics in Prevention and Care, April 2014
DOI 10.1007/s10198-014-0578-4
Pubmed ID
Authors

Leonie Sundmacher, Thomas Kopetsch

Abstract

The aim of the study was to quantify the impact of specific medical services in the ambulatory sector (SA) on hospitalizations for ambulatory care sensitive conditions (ACSCs), in order to be able to assess whether and under what conditions specific ambulatory treatments could serve to lower the hospitalization rate. The analysis is based on administrative data showing the complete provision of medical services in the ambulatory sector in Germany and data from other sources. The data were provided by the National Association of Statutory Health Insurance Physicians, the Federal Statistical Agency, the Federal Office of Construction and Regional Planning, and the Federal Insurance Agency. The impact of an increase in specific medical services on hospitalizations for ACSCs was estimated using linear spatial models at the level of the 413 German counties and county boroughs for the years 2007 and 2008. To allow for an undistorted estimation of the coefficients, SA and physician density were instrumented using a two-stage 'least squares' approach. The SA and the rate of hospitalizations for ACSCs were age-standardized. In the models, a well-defined set of covariates was controlled for. According to the models, an additional <euro> spent on ACSC treatment decreases the rate of hospitalizations for ACSCs for women and men up to an annual Uniform Value Scale For Doctors' Fees point value of approximately 6,891 and 5,735, respectively. The correlation is not linear but, as suspected, exhibits diminishing marginal returns. Our models suggest that additional medical services reduce the rate of hospitalizations for ACSCs but that this correlation depends on the absolute level of office-based services in a county, all covariates being held equal. Ceteris paribus counties with a very high volume of services exhibit 'flat-of-the-curve medicine', while counties with a very low current level of specific medical services benefit most from an increase in those specific services.

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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Doctoral Student 8 13%
Student > Bachelor 6 10%
Student > Ph. D. Student 6 10%
Other 5 8%
Other 17 27%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Nursing and Health Professions 9 14%
Economics, Econometrics and Finance 7 11%
Business, Management and Accounting 5 8%
Social Sciences 5 8%
Other 7 11%
Unknown 15 24%
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 18 November 2021.
All research outputs
#7,778,071
of 25,373,627 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#513
of 1,303 outputs
Outputs of similar age
#70,337
of 239,360 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#14
of 43 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 69th percentile.
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 has gotten more attention than average, scoring higher than 60% 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 239,360 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 70% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.