Evidence map›Paper›PMID 31494623›Full record

ArticleBMJ open2019

How improving access times had unforeseen consequences: a case study in a Dutch hospital.

Oskar Roemeling, Kees Ahaus, Folkert van Zanten, Martin Land, Patrick Wennekes

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  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

5 authors.

Oskar RoemelingInnovation Management & Strategy, University of Groningen Faculty of Economics and Business, Groningen, The Netherlands o.p.roemeling@rug.nl.ORCID 0000-0003-1417-1129
Kees AhausHealth Services Management & Organization, Erasmus University Rotterdam Institute of Health Policy and Management, Rotterdam, The Netherlands.
Folkert van ZantenOperations, University of Groningen Faculty of Economics and Business, Groningen, The Netherlands.
Martin LandOperations, University of Groningen Faculty of Economics and Business, Groningen, The Netherlands.
Patrick WennekesProcess Management and Improvement, Martini Hospital, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the consequences of increasing capacity to reduce access times, and to explore how patient waiting times and use of physical capacity were influenced by variability.

designA retrospective case study that combines both primary and secondary data. Secondary data were retrieved from a hospital database to establish inflow and outflow of patients, utilisation of resources and available capacity, realised access times and the weekly number of new patients seen over 1 year. Primary data consisted of field notes, onsite visits and observations, and semistructured interviews.

settingA secondary care facility, that is, a rheumatology department, in a large Dutch hospital.

participantsAnalyses are based on secondary patient data from the hospital database, and the responses of the interviews with physicians, nurses and Lean Six Sigma project leaders.

resultsThe study shows that artificial variability was increased by managerial decisions to add capacity and to allow an increased inflow of new patients. This, in turn, resulted in undesirable and significant fluctuations in access times. We argue that we witnessed a new multiplier effect that typifies the fluctuations.

conclusionsAdding capacity resources to reduce access times might appear an obvious and effective solution. However, the outcomes were less straightforward than expected, and even led to new artificial variability. The study reveals a phenomenon that is specific to service environments, and especially healthcare, and has detrimental consequences for access times.

Indexed as

Efficiency, OrganizationalHospital AdministrationWaiting ListsCapacity BuildingHospital DepartmentsHumansNetherlandsPatient SatisfactionRetrospective StudiesRheumatologyWorkflowbuffershospitalspatient waiting timesvariability

Identifiers

PMID31494623
PMCPMC6731794

What OpenQuestion holds

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LicenceCC BY
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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.