Literature DB >> 22204264

Reducing queues: demand and capacity variations.

Henrik Eriksson1, Ing-Marie Bergbrant, Ingela Berrum, Boel Mörck.   

Abstract

PURPOSE: The aim of this paper is to investigate how waiting lists or queues could be reduced without adding more resources; and to describe what factors sustain reduced waiting-times. DESIGN/METHODOLOGY/APPROACH: Cases were selected according to successful and sustained queue reduction. The approach in this study is action research.
FINDINGS: Accessibility improved as out-patient waiting lists for two clinics were reduced. The main success was working towards matching demand and capacity. It has been possible to sustain the improvements. RESEARCH LIMITATIONS/IMPLICATIONS: Results should be viewed cautiously. Transferring and generalizing outcomes from this study is for readers to consider. However, accessible healthcare may be possible by paying more attention to existing solutions. PRACTICAL IMPLICATIONS: The study indicates that queue reduction activities should include acquiring knowledge about theories and methods to improve accessibility, finding ways to monitor varying demand and capacity, and to improve patient processing by reducing variations. ORIGINALITY/VALUE: Accessibility is considered an important dimension when measuring service quality. However, there are few articles on how clinic staff sustain reduces waiting lists. This paper contributes accessible knowledge to the field.

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Mesh:

Year:  2011        PMID: 22204264     DOI: 10.1108/09526861111174161

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur        ISSN: 0952-6862


  2 in total

1.  Triaging self-referred patients attending ophthalmic emergency room.

Authors:  Mazen S AlSamnan; Ahmed Mousa; Safa Al-Kuwaileet; Adel H AlSuhaibani
Journal:  Saudi Med J       Date:  2015-06       Impact factor: 1.484

2.  Improving accessibility for outpatients in specialist clinics: reducing long waiting times and waiting lists with a simple analytic approach.

Authors:  Karl Arne Johannessen; Nina Alexandersen
Journal:  BMC Health Serv Res       Date:  2018-11-01       Impact factor: 2.655

  2 in total

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