Evidence map›Paper›PMID 34735465›Full record

ArticlePloS one2021

Who is 'on-call' in Australia? A new classification approach for on-call employment in future population-level studies.

Madeline Sprajcer, Sarah L Appleton, Robert J Adams, Tiffany K Gill, Sally A Ferguson, Grace E Vincent, Jessica L Paterson, Amy C Reynolds

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. A preliminary framework for managing sleep inertia in occupational settings.Sleep advances : a journal of the Sleep Research Society · 2023
    Review
  3. Article
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 3 institutions in 1 country.

Madeline SprajcerCentral Queensland University, Appleton Institute, Adelaide, South Australia, Australia.ORCID 0000-0002-4966-871X
Sarah L AppletonFlinders Health and Medical Research Institute (Sleep Health) / Adelaide Institute for Sleep Health, Flinders University, Bedford Park, South Australia, Australia.
Robert J AdamsFlinders Health and Medical Research Institute (Sleep Health) / Adelaide Institute for Sleep Health, Flinders University, Bedford Park, South Australia, Australia.
Tiffany K GillFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Sally A FergusonCentral Queensland University, Appleton Institute, Adelaide, South Australia, Australia.
Grace E VincentCentral Queensland University, Appleton Institute, Adelaide, South Australia, Australia.
Jessica L PatersonCentral Queensland University, Appleton Institute, Adelaide, South Australia, Australia.
Amy C ReynoldsFlinders Health and Medical Research Institute (Sleep Health) / Adelaide Institute for Sleep Health, Flinders University, Bedford Park, South Australia, Australia.
Central Queensland University · AUFlinders University · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn-call research and guidance materials typically focus on 'traditional' on-call work (e.g., emergency services, healthcare). However, given the increasing prevalence of non-standard employment arrangements (e.g., gig work and casualisation), it is likely that a proportion of individuals who describe themselves as being on-call are not included in current on-call literature. This study therefore aimed to describe the current sociodemographic and work characteristics of Australian on-call workers.

methodsA survey of 2044 adults assessed sociodemographic and work arrangements. Of this population, 1057 individuals were workforce participants, who were asked to provide information regarding any on-call work they performed over the last three months, occupation type, weekly work hours, and the presence or absence of non-standard work conditions.

resultsOf respondents who were working, 45.5% reported working at least one day on-call in the previous month. There was a high prevalence of on-call work in younger respondents (63.1% of participants aged 18-24 years), and those who worked multiple jobs and more weekly work hours. Additionally, high prevalence rates of on-call work were reported by machinery operators, drivers, community and personal service workers, sales workers, and high-level managers.

conclusionsThese data suggest that on-call work is more prevalent than previously recorded and is likely to refer to a broad set of employment arrangements. Current classification systems may therefore be inadequate for population-level research. A taxonomy for the classification of on-call work is proposed, incorporating traditional on-call work, gig economy work, relief, or unscheduled work, and out of hours work.

Indexed as

Delivery of Health CareEmergency Medical ServicesAdolescentAdultAustraliaEmploymentFemaleHumansLanguageMaleMiddle AgedOccupationsSchoolsSociodemographic FactorsSurveys and QuestionnairesWorkforce

Identifiers

PMID34735465
PMCPMC8568115
OpenAlexW3210108418

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.