Evidence map›Paper›PMID 37653409›Full record

ArticleBMC health services research2023

An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study.

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

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Annie K LewisEastern Health; Allied Health Clinical Research Office, Level 2, 5 Arnold St, Box Hill, Victoria, 3128, Australia. annie.lewis@easternhealth.org.au.
Nicholas F TaylorEastern Health; Allied Health Clinical Research Office, Level 2, 5 Arnold St, Box Hill, Victoria, 3128, Australia.
Patrick W CarneyEastern Health; Allied Health Clinical Research Office, Level 2, 5 Arnold St, Box Hill, Victoria, 3128, Australia.
Xia LiDepartment of Mathematical and Physical Sciences, La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia.
Katherine E HardingEastern Health; Allied Health Clinical Research Office, Level 2, 5 Arnold St, Box Hill, Victoria, 3128, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time.

methodsThis study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. Data were collected over 28 months to observe the number of patients on the waitlist and the waiting time over three time periods: 12 months prior to implementation of STAT, ten months during implementation and six months post-intervention. STAT combines one-off backlog reduction with responsive scheduling that protects time for new appointments based on historical data. The primary outcomes were the number of patients on the waitlist and the waiting time across the three time periods. Secondary outcomes evaluated pre- and post-intervention changes in number of appointments offered weekly, non-arrival and discharge rates.

resultsA total of 938 patients were offered a first appointment over the study period. The long waitlist was almost eliminated, reducing from 616 during the pre-intervention period to 11 post-intervention (p = 0.002), but the hypothesis that waiting time would decrease was not supported. The interrupted time series analysis indicated a temporary increase in waiting time during the implementation period but no significant change in slope or level in the post- compared to the pre-intervention period. Direct comparison of the cohort of patients seen in the pre- and post-intervention periods suggested an increase in median waiting time following the intervention (34 [IQR 25-86] to 46 [IQR 36-61] days (p = 0.001)), but the interquartile range reduced indicating less variability in days waited and more timely access for the longest waiters.

conclusionsThe STAT model was implemented in a specialist epilepsy outpatient clinic and reduced a large waitlist. Reductions in the waitlist were achieved with little or no increase in waiting time. The STAT model provides a framework for an alternative way to operate outpatient clinics that can help to ensure that all people referred are offered an appointment in a timely manner.

Indexed as

EpilepsyOutpatientsAmbulatory CareAmbulatory Care FacilitiesHumansTriageAccessAppointmentEpilepsyOutpatient clinicsPatient flowWait

Identifiers

PMID37653409
PMCPMC10470140

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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.