Evidence map›Paper›PMID 25834388›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2015

Lead time for appointment and the no-show rate in an ophthalmology clinic.

Michael J McMullen, Peter A Netland

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  14. Predictors of No-Show in Neurology Clinics.Healthcare (Basel, Switzerland) · 2022
    Article
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  16. Article
  17. [Adherence to anti-VEGF treatment-Considerations and practical recommendations].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Review
  18. Article
  19. 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

2 authors.

Michael J McMullenDepartment of Ophthalmology, University of Virginia School of Medicine, Charlottesville, VA, USA.
Peter A NetlandDepartment of Ophthalmology, University of Virginia School of Medicine, Charlottesville, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to determine if there is a correlation between the time in advance an appointment is scheduled and the no-show rate.

methodsThis was a cross-sectional study conducted in an outpatient ophthalmology clinic. Appointment data were analyzed for 51,529 ophthalmology appointments in the computerized scheduling database during a 12-month period.

resultsThe average no-show rate was 21.7% and 6.6% for resident- and faculty-clinic, respectively (P<0.001). The no-show rate increased, and the likelihood an appointment would be kept decreased as the time in advance an appointment was scheduled increased. With a lead time for appointment of 0-2 weeks, the average no-show rate was 9.1% and 2.4% for the resident- and faculty-clinic, respectively. With a lead time for appointment of 6 months, the average no-show rate increased to 38.3% (P<0.001) and 6.9% (P<0.001) for the resident-and faculty-clinic, respectively. A predicted no-show rate model showed approximately 2% reduction of the no-show rate for 10% increase of the proportion of patients scheduled within 2 weeks, potentially reducing the no-show rate by nearly 60% with all appointments scheduled 0-2 weeks in advance.

conclusionClinic no-show rate increased as appointment lead time increased. Predictive models suggest that the implementation of a short-term appointment scheduling strategy may reduce the overall clinic no-show rate, particularly in clinic populations with a high no-show rate.

Indexed as

advance accessappointment accessappointment timeclinic schedulingcomplianceopen access scheduling

Identifiers

PMID25834388
PMCPMC4370946

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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.