Evidence map›Paper›PMID 24348870›Full record

ArticleThe Australasian medical journal2013

Why are organisations that provide healthcare services fuzzy?

Eva-Maria Hempe

Abstract read
In one paragraph

Article in The Australasian medical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Eva-Maria HempeEngineering Design Centre, University of Cambridge.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare organisations are an enigma to many people inand outside the service. Organisational fuzziness is a common state, characterised by a lack of clarity, lack of awareness, lack of organisational knowledge, and the reliance on practice and custom instead of transparency.

aimsThe objective of this study was to obtain a better understanding of what causes this fuzziness and provide an actionable description of fuzzy organisations. Such a description is essential to managing and preventing organisational fuzziness.

methodWe used a longitudinal case study in an integrated healthand social care organisation to obtain a thorough understanding of how the organisation functions. These indepth insights allowed the identification of three generators of fuzziness.

resultsWe found that the three main generators of organisational fuzziness are change, informal organisation and complexity. Organisational fuzziness is thus partly due to the inherent complexities of human systems. However, also continuous change and the inability of the system to adapt its formal structures resulted in structures deteriorating or no longer being appropriate.

conclusionExisting approaches to explain unclear or absent structures in healthcare organisations by describing these organisations as complex adaptive systems (CAS) are too simplistic. While aspects relating to people and their interactions are indeed complex, fuzziness of structural aspects are often the result of continuous change and insufficient organisational capacity to adapt to it.

Indexed as

changecomplex adaptive systemsComplexityhealthcare organisationshealthcare servicesservice design

Identifiers

PMID24348870
PMCPMC3858607

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.