Evidence map›Paper›PMID 28210423›Full record

ArticleOnline journal of public health informatics2016

Managing Aboriginal and Torres Strait Islander Data for Public Health Research.

D van Gaans, S Ahmed, K D'Onise, S M Taylor, R McDermott

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Online journal of public health informatics, 2016. 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

5 authors.

D van GaansCentre for Research Excellence in the Prevention of Chronic Conditions in Rural and Remote Populations, University of South Australia, South Australia.
S AhmedCentre for Research Excellence in the Prevention of Chronic Conditions in Rural and Remote Populations, University of South Australia, South Australia.
K D'OniseCentre for Research Excellence in the Prevention of Chronic Conditions in Rural and Remote Populations, University of South Australia, South Australia.
S M TaylorCentre for Chronic Disease Prevention, Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James cook University, Queensland.
R McDermottCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Queensland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good quality data on Aboriginal and Torres Strait Islander peoples are needed to assess the effectiveness of programs and interventions, and to evaluate policies that are designed to improve the status of, and service delivery to, Aboriginal and Torres Strait Islander peoples. Due to the lack of longitudinal data it is difficult to gain knowledge on the specific causes or consequences of changes in indigenous outcomes. Variables such as name, date of birth and address for Aboriginal and Torres Strait Islanders may be subject to more variation and be less consistently reported than other Australians. Improving the collection and management of key identifying variables for Aboriginal and Torres Strait Islanders are key to providing more quality information on this population group.

Indexed as

AboriginalData managementInformaticsPopulation HealthResearch

Identifiers

PMID28210423
PMCPMC5302461

What OpenQuestion holds

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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.