Evidence map›Paper›PMID 14686627›Full record

ReviewHealth care management science2003

Non-parametric and parametric applications measuring efficiency in health care.

Bruce Hollingsworth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Health care management science, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 5 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

114 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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54 more citing papers are in PubMed but not listed here.

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

1 author.

Bruce HollingsworthHealth Economics Unit, Faculty of Business and Economics, Monash University, PO Box 477, West Heidelberg, Melbourne, Victoria 3081, Australia. bruce.hollingsworth@buseco.monash.edu.au

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reviews 188 published papers on frontier efficiency measurement. The techniques used are mainly based on non-parametric data envelopment analysis, but there is increasing use of parametric techniques, such as stochastic frontier analysis. Applications both to hospitals and wider health care areas are reviewed and summarised, and some meta-type analysis undertaken. Results appear to confirm earlier findings that public provision demonstrates less variability than private. The paper is meant as a resource in itself, but also points to the future in terms of possible directions for research in efficiency measurement in health care and health.

Indexed as

Efficiency, OrganizationalHealth Services AdministrationHealth Services ResearchHospital AdministrationNursing HomesStatistics, NonparametricStochastic Processes

Identifiers

PMID14686627

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.