Evidence map›Paper›PMID 35279132›Full record

ReviewInternational journal for equity in health2022

Indigenous health equity in health register ascertainment and data quality: a narrative review.

Karen Wright, Rachel M Tapera, N Susan Stott, Alexandra Sorhage, Anna Mackey, Sîan A Williams

Abstract readReview
In one paragraph

Review in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The hidden epidemiology of trauma in Nunavik: a call for a dedicated trauma registry.Canadian journal of surgery. Journal canadien de chirurgie
    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

6 authors.

Karen WrightFaculty of Medical and Health Sciences, Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand. karen.wright@auckland.ac.nz.ORCID 0000-0002-9910-7005
Rachel M TaperaFaculty of Medical and Health Sciences, Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand.
N Susan StottDepartment of Surgery, University of Auckland, Auckland, New Zealand.
Alexandra SorhageNew Zealand Cerebral Palsy Register, Starship Child Health, Auckland, New Zealand.
Anna MackeyNew Zealand Cerebral Palsy Register, Starship Child Health, Auckland, New Zealand.
Sîan A WilliamsLiggins Institute, University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth registers play an important role in monitoring distribution of disease and quality of care; however, benefit is limited if ascertainment (i.e., the process of finding and recruiting people on to a register) and data quality (i.e., the accuracy, completeness, reliability, relevance, and timeliness of data) are poor. Indigenous peoples experience significant health inequities globally, yet health data for, and about, Indigenous peoples is often of poor quality. This narrative review aimed to (i) identify perceived barriers for the ascertainment of Indigenous peoples on health registers, and (ii) collate strategies identified and used by health registers to support comprehensive ascertainment and high-quality data for Indigenous peoples.

methodsA Kaupapa Māori theoretical framework was utilized to guide this work. Four electronic databases were systematically searched for original articles and screened for eligibility. Studies involving health registers with Indigenous population(s) identified were included if either ascertainment or data quality strategies were described. Data extraction focused on the reporting of research involving Indigenous peoples using the CONSIDER checklist domains, ascertainment, and data quality.

resultsSeventeen articles were included spanning publication between 1992 and 2020. Aspects of four of eight CONSIDER domains were identified to be included in the reporting of studies. Barriers to ascertainment were themed as relating to 'ethnicity data collection and quality', 'systems and structures', 'health services/health professionals', and 'perceptions of individual and community-level barriers'. Strategies to support ascertainment were categorized as 'collaboration', 'finding people', and 'recruitment processes'. Categorized strategies to support data quality were 'collaboration', 'ethnicity data collection and quality', 'systems-level strategies', and 'health service/health professional-level strategies'.

conclusionsPoor-quality data for Indigenous peoples in health registers prevents the achievement of health equity and exemplifies inaction in the face of need. When viewed through a critical structural determinants lens, there are visible gaps in the breadth of strategies, particularly relating to the inclusion of Indigenous peoples in health register and research governance, and actions to identify and address institutional racism. Indigenous led research, meaningful collaboration, and a sharing of knowledge and experiences between health registers is recommended to enable research and health registers that support Indigenous self-determination and health equity.

Indexed as

Health EquityDelivery of Health CareHumansMaori PeopleNew ZealandReproducibility of ResultsAscertainmentData qualityHealth equityHealth registerIndigenous healthKAUPAPA Māori

Identifiers

PMID35279132
PMCPMC8917744

What OpenQuestion holds

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LicenceCC BY
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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.