Evidence map›Paper›PMID 34734126›Full record

ReviewInternational journal of population data science2021

Multigenerational health research using population-based linked databases: an international review.

Naomi C Hamm, Amani F Hamad, Elizabeth Wall-Wieler, Leslie L Roos, Oleguer Plana-Ripoll, Lisa M Lix

Abstract readReview
In one paragraph

Review 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Use of Population-Level Administrative Data in Developmental Science.Annual review of developmental psychology · 2022
    Article
  6. 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

6 authors.

Naomi C HammDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.
Amani F HamadDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.
Elizabeth Wall-WielerDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.
Leslie L RoosDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.
Oleguer Plana-RipollNational Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, DENMARK, 8210.
Lisa M LixDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, CANADA, R3E 0W3.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family health history is a well-established risk factor for many health conditions but the systematic collection of health histories, particularly for multiple generations and multiple family members, can be challenging. Routinely-collected electronic databases in a select number of sites worldwide offer a powerful tool to conduct multigenerational health research for entire populations. At these sites, administrative and healthcare records are used to construct familial relationships and objectively-measured health histories. We review and synthesize published literature to compare the attributes of routinely-collected, linked databases for three European sites (Denmark, Norway, Sweden) and three non-European sites (Canadian province of Manitoba, Taiwan, Australian state of Western Australia) with the capability to conduct population-based multigenerational health research. Our review found that European sites primarily identified family structures using population registries, whereas non-European sites used health insurance registries (Manitoba and Taiwan) or linked data from multiple sources (Western Australia). Information on familial status was reported to be available as early as 1947 (Sweden); Taiwan had the fewest years of data available (1995 onwards). All centres reported near complete coverage of familial relationships for their population catchment regions. Challenges in working with these data include differentiating biological and legal relationships, establishing accurate familial linkages over time, and accurately identifying health conditions. This review provides important insights about the benefits and challenges of using routinely-collected, population-based linked databases for conducting population-based multigenerational health research, and identifies opportunities for future research within and across the data-intensive environments at these six sites.

Indexed as

RegistriesAustraliaCanadaDatabases, FactualForecastingfamily health historymultigenerationalobservational researchpopulation registriesrecord linkageroutinely-collected data

Identifiers

PMID34734126
PMCPMC8530190

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.