Evidence map›Paper›PMID 20503625›Full record

ArticleJournal of medical systems2010

Separating managerial inefficiency from influences of the operating environment: an application in dialysis.

Nick Kontodimopoulos, Nikolaos D Papathanasiou, Yannis Tountas, Dimitris Niakas

Abstract read
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In one paragraph

Article in Journal of medical systems, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The effect of quality and socio-demographic variables on efficiency measures in primary health care.The European journal of health economics : HEPAC : health economics in prevention and care · 2014
    Article
  4. Article
  5. Article
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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

4 authors at 2 institutions in 1 country.

Nick KontodimopoulosHellenic Open University, Faculty of Social Sciences, Patras, Greece. nkontodi@otenet.gr
Nikolaos D Papathanasiou
Yannis Tountas
Dimitris Niakas
Hellenic Open University · GRNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In any production unit, the ability to achieve technical efficiency is influenced by characteristics of the external operating environment. This study uses the Greek dialysis sector to employ a previously reported frontier procedure to obtain a measure of managerial inefficiency that controls for exogenous features. The sample consisted of 124 dialysis facilities. Two inputs -nursing staff and dialysis machines- and one output -dialysis sessions--were used in an input-oriented, variable-returns-to-scale DEA model. Input slacks were regressed against environmental characteristics such as ownership, location, operating years and facility size, and parameter estimates were used to adjust primary input data. New efficiency scores were generated to measure managerial inefficiency. Older, public, regional facilities were operating under unfavorable circumstances, whereas newer, private, Athens-based facilities under favorable conditions. This respectively generated lower and higher efficiency scores than would have been attained on a level "playing field". After adjustment, scores reflected only management inefficiency and could be compared fairly. This study emphasizes the importance of efficiency comparisons, which take into account external conditions beyond the influence ofmanagement, as these have been shown to under- or overstate true management inefficiency.

Indexed as

DialysisEfficiency, OrganizationalModels, StatisticalAmbulatory Care FacilitiesGreeceHumans

Identifiers

PMID20503625
OpenAlexW2060493715

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.