Evidence map›Paper›PMID 31718635›Full record

ArticleBMC health services research2019

Specific timely appointments for triage to reduce wait times in a medical outpatient clinic: protocol of a pre-post study with process evaluation.

Annie K Lewis, Nicholas F Taylor, Patrick W Carney, Katherine E Harding

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

4 authors.

Annie K LewisAllied Health Clinical Research Office and Department of Neurosciences, Eastern Health, 5 Arnold St, Box Hill, Victoria, 3128, Australia. A.Lewis@latrobe.edu.au.ORCID http://orcid.org/0000-0002-8143-4956
Nicholas F TaylorAllied Health Clinical Research Office and Department of Neurosciences, Eastern Health, 5 Arnold St, Box Hill, Victoria, 3128, Australia.
Patrick W CarneyAllied Health Clinical Research Office and Department of Neurosciences, Eastern Health, 5 Arnold St, Box Hill, Victoria, 3128, Australia.
Katherine E HardingAllied Health Clinical Research Office and Department of Neurosciences, Eastern Health, 5 Arnold St, Box Hill, Victoria, 3128, Australia.

Funding

Eastern Health Foundation N/A
6 · The paper itself

Abstract

backgroundManaging demand for services is a problem in many areas of healthcare, including specialist medical outpatient clinics. Some of these clinics have long waiting lists with variation in access for referred people. A model of triage and appointment allocation has been developed and tested that has reduced waiting times by about a third in community outpatient services. This study aims to determine whether the model can be applied in the setting of a specialist medical outpatient clinic to reduce wait time from referral to first appointment.

methodsA pre-post study will collect data before and after implementing the Specific Timely Appointments for Triage (STAT) model of access and triage. The study will incorporate a pre-implementation period of 12 months, an implementation period of up to 6 months and a post STAT-implementation period of 6 months. The setting will be the epilepsy clinic at a metropolitan health service in Melbourne. Included will be all people referred to the clinic, or currently waiting, during the allocated periods of data collection (total sample estimated n = 975). Data routinely collected by the health service and qualitative data from staff will be analysed to determine the effects of introducing the STAT model. The primary outcome will be wait time, measured by number of patients on the wait list at monthly time points and the mean number of days waited from referral to first appointment. Secondary outcomes will include patient outcomes, such as admission to hospital while waiting, and service outcomes, including rate of discharge. Analysis of the primary outcome will include interrupted time series analysis and simple comparisons of the pre and post-implementation periods. Process evaluation will include investigation of the fidelity of the intervention, adaptations required and qualitative analysis of the experiences of clinic staff. DISCUSSION: Prompt access to service and optimum patient flow is important for patients and service providers. Testing the STAT model in a specialist medical outpatient clinic will add to the evidence informing service providers and policy makers about how the active management of supply and demand in health care can influence wait times. The results from this study may be applicable to other specialist medical outpatient clinics, potentially improving access to care for many people.

Indexed as

Ambulatory CareAmbulatory Care FacilitiesTriageWaiting ListsAppointments and SchedulesFemaleHumansInterrupted Time Series AnalysisProcess Assessment, Health CareReferral and ConsultationAccessAppointments and schedulesOutpatient clinicsPatient flowWaiting lists

Identifiers

PMID31718635
PMCPMC6852965

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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.