Evidence map›Paper›PMID 22297925›Full record

ArticleHealth care management science2012

Changes in hospital efficiency after privatization.

Oliver Tiemann, Jonas Schreyögg

Abstract read
In one paragraph

Article in Health care management science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. An econometric approach to aggregating multiple cardiovascular outcomes in German hospitals.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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  18. Technical Efficiency of Public and Private Hospitals in Beijing, China: A Comparative Study.International journal of environmental research and public health · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Oliver TiemannHamburg Center for Health Economics, University of Hamburg, Esplanade 36, 20354 Hamburg, Germany.
Jonas Schreyögg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the effects of privatization on hospital efficiency in Germany. To do so, we obtained boot-strapped data envelopment analysis (DEA) efficiency scores in the first stage of our analysis and subsequently employed a difference-in-difference matching approach within a panel regression framework. Our findings show that conversions from public to private for-profit status were associated with an increase in efficiency of between 2.9 and 4.9%. We defined four alternative post-privatization periods and found that the increase in efficiency after a conversion to private for-profit status appeared to be permanent. We also observed an increase in efficiency for the first three years after hospitals were converted to private non-profit status, but our estimations suggest that this effect was rather transitory. Our findings also show that the efficiency gains after a conversion to private for-profit status were achieved through substantial decreases in staffing ratios in all analyzed staff categories with the exception of physicians and administrative staff. It was also striking that the efficiency gains of hospitals converted to for-profit status were significantly lower in the diagnosis-related groups (DRG) era than in the pre-DRG era. Altogether, our results suggest that converting hospitals to private for-profit status may be an effective way to ensure the scarce resources in the hospital sector are used more efficiently.

Indexed as

Diagnosis-Related GroupsEfficiency, OrganizationalGermanyHospital AdministrationHumansPersonnel Staffing and SchedulingPrivatizationPropensity ScoreRegression AnalysisTime Factors

Identifiers

PMID22297925
PMCPMC3470692

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.