Evidence map›Paper›PMID 31053118›Full record

ArticleBMC health services research2019

Staff perspectives of a model of access and triage for reducing waiting time in ambulatory services: a qualitative study.

Katherine E Harding, David A Snowdon, Annie K Lewis, Sandra G Leggat, Bridie Kent, Jennifer J Watts, Nicholas F Taylor

Open access · goldAbstract 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, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% of its field
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, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Katherine E HardingAllied Health Clinical Research Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia. katherine.harding@easternhealth.org.au.ORCID http://orcid.org/0000-0003-0207-7071
David A SnowdonAllied Health Clinical Research Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.
Annie K LewisAllied Health Clinical Research Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.
Sandra G LeggatLa Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia.
Bridie KentPlymouth University, Drake Circus, Plymouth, Devon, PL4 8AA, UK.
Jennifer J WattsDeakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Nicholas F TaylorAllied Health Clinical Research Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.
La Trobe University · AUDeakin University · AUUniversity of Plymouth · GB

Funding

National Health and Medical Research Council 1076777
6 · The paper itself

Abstract

backgroundSpecific Timely Appointments for Triage (STAT) is an intervention designed to reduce waiting time in community outpatient health services, shown to be effective in a large stepped wedge cluster randomised controlled trial. STAT combines initial strategies to reduce existing wait lists with creation of a specific number of protected appointments for new patients based on demand. It offers an alternative to the more traditional methods of demand management for these services using waiting lists with triage systems. This study aimed to explore perceptions of clinicians and administrative staff involved in implementing the model.

methodSemi-structured interviews with 20 staff members who experienced the change to STAT were conducted by an independent interviewer. All eight sites involved in the original trial and all professional disciplines were represented in the sample. Data were coded and analysed thematically.

resultsParticipants agreed that shorter waiting time for patients was the main advantage of the STAT model, and that ongoing management of caseloads was challenging. However, there was variation in the overall weight placed on these factors, and therefore the participants' preference for the new or previous model of care. Perceptions of whether the advantages outweighed the disadvantages were influenced by five sub-themes: staff perception of how much waiting matters to the patient, prior exposure to the management of waiting list, caseload complexity, approach and attitude to the implementation of STAT and organisational factors.

conclusionsThe STAT model has clear benefits but also presents challenges for staff members. The findings of this study suggest that careful preparation and management of change and active planning for known fluctuations in supply and demand are likely to help to mitigate sources of stress and improve the likelihood of successful implementation of the STAT model for improving waiting times for patients referred to community outpatient services.

Indexed as

Ambulatory CareAppointments and SchedulesAttitude of Health PersonnelCluster AnalysisHumansModels, OrganizationalQualitative ResearchRandomized Controlled Trials as TopicTriageWaiting ListsAccessAppointments and schedulesClinician experienceCommunity healthOutpatientsQualitativeWaiting lists

Identifiers

PMID31053118
PMCPMC6500050
OpenAlexW2947097912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.