Evidence map›Paper›PMID 32935058›Full record

ArticleInternational journal of population data science2020

Community-based Health Data Cooperatives Towards Improving the Immigrant Community Health: A Scoping Review to Inform Policy and Practice.

T C Turin, I Naeem, Akmn Nurul, M Vaska, S Goopy, R Rashid, A Kassan, F Aghajafari, I Ferrer, A Kazi and 3 more

Abstract readScoping Review
In one paragraph

Article in International journal of population data science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

T C TurinDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
I NaeemDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Akmn NurulDepartment of Family Medicine, University of Calgary, Calgary, Alberta, Canada.
M VaskaTom Baker Cancer Centre, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada.
S GoopyFaculty of Nursing, University of Calgary, Calgary, Alberta, Canada.
R RashidDepartment of Family Medicine, University of Calgary, Calgary, Alberta, Canada.
A KassanWerklund School of Education, University of Calgary, Calgary, Alberta, Canada.
F AghajafariDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
I FerrerFaculty of Social Work, University of Calgary, Calgary, Alberta, Canada.
A KaziCitizen Researcher, Calgary, Alberta, Canada.
I SadiCitizen Researcher, Calgary, Alberta, Canada.
M O'BeirneDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
C LeducDepartment of Family Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the case of immigrant health and wellness, data are the key limiting factor, where comprehensive national knowledge on immigrant health and health service utilisation is limited. New data and data silos are an inherent response to the increase in technology in the collection and storage of data. The Health Data Cooperative (HDC) model allows members to contribute, store, and manage their health-related information, and members are the rightful data owners and decision-makers to data sharing (e g. research communities, commercial entities, government bodies).

objectiveThis review attempts to scope the literature on HDC and fulfill the following objectives: 1) identify and describe the type of literature that is available on the HDC model; 2) describe the key themes related to HDCs; and 3) describe the benefits and challenges related to the HDC model.

methodsWe conducted a scoping review using the five-stage framework outlined by Arskey and O'Malley to systematically map literature on HDCs using two search streams: 1) a database and grey literature search; and 2) an internet search. We included all English records that discussed health data cooperative and related key terms. We used a thematic analysis to collate information into comprehensive themes.

resultsThrough a comprehensive screening process, we found 22 database and grey literature records, and 13 Internet search records. Three major themes that are important to stakeholders include data ownership, data security, and data flow and infrastructure.

conclusionsThe results of this study are an informative first step to the study of the HDC model, or an establishment of a HDC in immigrant communities. KEY WORDS: community health, health data, cooperative, and citizen data empowermen.

Identifiers

PMID32935058
PMCPMC7473268

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.