Evidence map›Paper›PMID 34036181›Full record

ArticleInternational journal of population data science2021

Indigenizing our research: indigenous community leadership in HIV epidemiology research.

Valerie Nicholson, Andreea Bratu, Alison R McClean, Simran Jawanda, Niloufar Aran, Knighton Hillstrom, Evelyn Hennie, Claudette Cardinal, Elizabeth Benson, Kerrigan Beaver and 3 more

Abstract read
In one paragraph

Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

13 authors.

Valerie NicholsonBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Andreea BratuBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Alison R McCleanBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Simran JawandaUniversity of Northern British Columbia, 3333 University Way, Prince George, BC, V2N 4Z9, Canada.
Niloufar AranBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Knighton HillstromBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Evelyn HennieBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Claudette CardinalBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Elizabeth BensonBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Kerrigan BeaverBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Anita C BenoitWomen's College Research Institute, Toronto, ON, Canada.
Bob HoggBritish Columbia Centre for Excellence in HIV/AIDS, 1026 Nelson Street, Vancouver, BC, V6E 4S7, Canada.
Denise JaworskyUniversity of Northern British Columbia, 3333 University Way, Prince George, BC, V2N 4Z9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of data intensive health research has allowed for greater understandings of population health. When conducting data intensive health research, engaging and involving the community is essential for conducting meaningful research that is responsive to the public's needs. Particularly, when engaging Indigenous communities in research, there is a need to understand historical and ongoing impacts of colonialism and recognize the strengths in Indigenous Peoples' knowledges and experiences while supporting Indigenous leadership and self-determination in research. This article describes the approach our research team/organization used to engage and involve Indigenous people living with HIV in three research projects using large, linked datasets and looking at HIV outcomes of Indigenous populations in Canada. The foundation of these projects was simultaneously: 1) supporting Indigenous people living with HIV to be involved as research team members, 2) developing research questions to answer with available datasets, and 3) integrating Indigenous and Western ways of knowing. We have identified important considerations and suggestions for engaging and involving Indigenous communities and individuals in the generation of research ideas and analysis of linked data using community-based participatory research approaches through our work. These include engaging stakeholders at the start of the project and involving them throughout the research process, honouring Indigenous ways of knowing, the land, and local protocols and traditions, prioritizing Indigenous voices, promoting co-learning and building capacity, and focusing on developing longitudinal relationships. We describe keys to success and learnings that emerged. Importantly, the methodology practiced and presented in this manuscript is not  a qualitative study design whereby research

Indexed as

HIV InfectionsLeadershipCommunity-Based Participatory ResearchHumansIndigenous PeoplesPopulation Groupscommunity-basedcultural safetyepidemiologyHIVindigenousmedicines of the landtwo-eyed seeing

Identifiers

PMID34036181
PMCPMC8135074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.