Evidence map›Paper›PMID 28764695›Full record

ArticleBMC health services research2017

Compliance with telephone triage advice among adults aged 45 years and older: an Australian data linkage study.

Duong Thuy Tran, Amy Gibson, Deborah Randall, Alys Havard, Mary Byrne, Maureen Robinson, Anthony Lawler, Louisa R Jorm

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

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  3. Evaluation of the performance of telephone triage service.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
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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

8 authors at 2 institutions in 1 country.

Duong Thuy TranCentre for Big Data Research in Health-Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, NSW, 2052, Australia. Danielle.Tran@unsw.edu.au.
Amy GibsonCentre for Big Data Research in Health-Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, NSW, 2052, Australia.
Deborah RandallCentre for Big Data Research in Health-Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, NSW, 2052, Australia.
Alys HavardCentre for Big Data Research in Health-Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, NSW, 2052, Australia.
Mary ByrneHealthdirect Australia, 133 Castlereagh Street, Sydney, NSW, 2000, Australia.
Maureen RobinsonHealthdirect Australia, 133 Castlereagh Street, Sydney, NSW, 2000, Australia.
Anthony LawlerSchool of Medicine, University of Tasmania and Healthdirect Australia, Department of Health and Human Services, Level 2, 22 Elizabeth Street, Hobart, TAS, 7000, Australia.
Louisa R JormCentre for Big Data Research in Health-Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, NSW, 2052, Australia.
UNSW Sydney · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiddle-aged and older patients are prominent users of telephone triage services for timely access to health information and appropriate referrals. Non-compliance with advice to seek appropriate care could potentially lead to poorer health outcomes among those patients. It is imperative to assess the extent to which middle-aged and older patients follow triage advice and how this varies according to their socio-demographic, lifestyle and health characteristics as well as features of the call.

methodsRecords of calls to the Australian healthdirect helpline (July 2008-December 2011) were linked to baseline questionnaire data from the 45 and Up Study (participants age ≥ 45 years), records of emergency department (ED) presentations, hospital admissions, and medical consultation claims. Outcomes of the call included compliance with the advice "Attend ED immediately"; "See a doctor (immediately, within 4 hours, or within 24 hours)"; "Self-care"; and self-referral to ED or hospital within 24 h when given a self-care or low-urgency care advice. Multivariable logistic regression was used to investigate associations between call outcomes and patient and call characteristics.

resultsThis study included 8406 adults (age ≥ 45 years) who were subjects of 11,088 calls to the healthdirect helpline. Rates of compliance with the advices "Attend ED immediately", "See a doctor" and "Self-care" were 68.6%, 64.6% and 77.5% respectively, while self-referral to ED within 24 h followed 7.0% of calls. Compliance with the advice "Attend ED immediately" was higher among patients who had three or more positive lifestyle behaviours, called after-hours, or stated that their original intention was to attend ED, while it was lower among those who lived in rural and remote areas or reported high or very high levels of psychological distress. Compliance with the advice "See a doctor" was higher in patients who were aged ≥65 years, worked full-time, or lived in socio-economically advantaged areas, when another person made the call on the patient's behalf, and when the original intention was to seek care from an ED or a doctor. It was lower among patients in rural and remote areas and those taking five medications or more. Patients aged ≥65 years were less likely to comply with the advice "Self-care". The rates of self-referral to ED within 24 h were greater in patients from disadvantaged areas, among calls made after-hours or by another person, and when the original intention was to attend ED. Patients who were given a self-care or low-urgency care advice, whose calls concerned bleeding, cardiac, gastrointestinal, head and facial injury symptoms, were more likely to self-refer to ED.

conclusionsCompliance with telephone triage advice among middle-age and older patients varied substantially according to both patient- and call-related factors. Knowledge about the patients who are less likely to comply with telephone triage advice, and about characteristics of calls that may influence compliance, will assist in refining patient triage protocols and referral pathways, training staff and tailoring service design and delivery to achieve optimal patient compliance.

Indexed as

TelemedicineTriageAgedAge FactorsAustraliaEmergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedPatient ComplianceReferral and ConsultationSelf CareSocioeconomic FactorsSurveys and QuestionnairesAustraliaComplianceHealthdirect helplineOlder patientsTelephone triage

Identifiers

PMID28764695
PMCPMC5539620
OpenAlexW2739684083

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.