Evidence map›Paper›PMID 38509693›Full record

SynthesisPerspectives in public health2024

Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review.

N Dias-Karunaratne, L Whop, J Ward, C Vujovich-Dunn, J Amin, A Dakiniewich, A Dyda

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Perspectives in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

N Dias-KarunaratneSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
L WhopNational Centre for Aboriginal and Torres Strait Islander Wellbeing Research, Australian National University, Canberra, ACT, Australia.
J WardPoche Centre for Indigenous Health, The University of Queensland, Brisbane, QLD, Australia.
C Vujovich-DunnThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
J AminDepartment of Health Science, Macquarie University, Sydney, NSW, Australia.
A DakiniewichSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
A DydaSchool of Public Health, The University of Queensland, 288 Herston Road, Herston, Brisbane, QLD 4072, Australia.ORCID 0000-0003-2806-4834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to establish whether digital surveillance methods for notifiable diseases in Australia collect and report data in relation to marginalised populations.

methodsThe literature was systematically reviewed to identify primary research studies published between January 2005 and July 2023. Studies were included if they described an Australian digital surveillance system for notifiable conditions. The results were synthesised with a focus on evaluating the collection and reporting of data in relation to marginalised populations.

resultsA total of 13 articles reporting on seven surveillance systems were identified. Influenza and adverse events following immunisation were the two most common notifiable conditions monitored. A total of six surveillance systems encompassing 16 articles reported information on sub-populations. Of these, three surveillance systems (nine articles) included data on marginalised populations.

conclusionThe data collected or reported in relation to sub-groups that characterise diversity in terms of health care needs, access, and marginalised populations are minimal. It is recommended that a set of equity and reporting principles is established for the future creation and use of any digital surveillance system.

Indexed as

Population SurveillanceAustraliaDisease NotificationHumansAustraliacommunicable diseasesdigital surveillance

Identifiers

PMID38509693
PMCPMC11103913

What OpenQuestion holds

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LicenceCC BY-NC
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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.