Evidence map›Paper›PMID 22143360›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2013

Organisational determinants of production and efficiency in general practice: a population-based study.

Kim Rose Olsen, Dorte Gyrd-Hansen, Torben Højmark Sørensen, Troels Kristensen, Peter Vedsted, Andrew Street

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  7. Efficiency of physician specialist groups.Health care management science · 2018
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  9. Observational
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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

6 authors.

Kim Rose OlsenDanish Institute for Health Services Research, Copenhagen, Denmark. krolsen@health.sdu.dk
Dorte Gyrd-Hansen
Torben Højmark Sørensen
Troels Kristensen
Peter Vedsted
Andrew Street

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveShortage of general practitioners (GPs) and an increased political focus on primary care have enforced the interest in efficiency analysis in the Danish primary care sector. This paper assesses the association between organisational factors of general practices and production and efficiency.

methodsWe assume that production and efficiency can be modelled using a behavioural production function. We apply the Battese and Coelli (Empir Econ 20:325-332, 1995) estimator to accomplish a decomposition of exogenous variables to determine the production frontier and variables determining the individual GPs distance to this frontier. Two different measures of practice outputs (number of office visits and total production) were applied and the results compared.

resultsThe results indicate that nurses do not substitute GPs in the production. The production function exhibited constant returns to scale. The mean level of efficiency was between 0.79 and 0.84, and list size was the most important determinant of variation in efficiency levels.

conclusionsNurses are currently undertaking other tasks than GPs, and larger practices do not lead to increased production per GP. However, a relative increase in list size increased the efficiency. This indicates that organisational changes aiming to increase capacity in general practice should be carefully designed and tested.

Indexed as

Models, EconomicAdultDenmarkEfficiency, OrganizationalFemaleGeneral PracticeHumansMaleMiddle AgedNursesNurse's RolePhysiciansWorkforceWorkload

Identifiers

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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.