Evidence map›Paper›PMID 34734125›Full record

ArticleInternational journal of population data science2021

Chronic disease surveillance in Alberta's tomorrow project using administrative health data.

Ming Ye, Jennifer E Vena, Jeffrey A Johnson, Grace Shen-Tu, Dean T Eurich

Open access · goldAbstract 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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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, 3 citations in OpenAlex.

  1. Use and limitations of databases and big data in sleep-disordered breathing research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
  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

5 authors at 2 institutions in 1 country.

Ming YeSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1.
Jennifer E VenaAlberta's Tomorrow Project, Cancer Care Alberta, Alberta Health Services, Alberta, Canada, T2T 5C7.
Jeffrey A JohnsonSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1.
Grace Shen-TuAlberta's Tomorrow Project, Cancer Care Alberta, Alberta Health Services, Alberta, Canada, T2T 5C7.
Dean T EurichSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada, T6G 2E1.
University of Alberta · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlberta's Tomorrow Project (ATP) is the largest population-based prospective cohort study of cancer and chronic diseases in Alberta, Canada. The ATP cohort data were primarily self-reported by participants on lifestyle behaviors and disease risk factors at the enrollment, which lacks sufficient and accurate data on chronic disease diagnosis for longer-term follow-up.

objectivesTo characterize the occurrence rate and trend of chronic diseases in the ATP cohort by linking with administrative healthcare data.

methodsA set of validated algorithms using ICD codes were applied to Alberta Health (AH) administrative data (October 2000-March 2018) linked to the ATP cohort to determine the prevalence and incidence of common chronic diseases.

resultsThere were 52,770 ATP participants (51.2±9.4 years old at enrollment and 63.7% females) linked to the AH data with average follow-up of 10.1±4.4 years. In the ATP cohort, hypertension (18.5%), depression (18.1%), chronic pain (12.8%), osteoarthritis (10.1%) and cardiovascular diseases (8.7%) were the most prevalent chronic conditions. The incidence rates varied across diseases, with the highest rates for hypertension (22.1 per 1000 person-year), osteoarthritis (16.2 per 1000 person-year) and ischemic heart diseases (13.0 per 1000 person-year). All chronic conditions had increased prevalence over time (

conclusionsThis study shows an increasing trend of chronic diseases in the ATP cohort, particularly related to cardiovascular diseases and multi-morbidity. Using administrative health data to monitor chronic diseases for large population-based prospective cohort studies is feasible in Alberta, and our approach could be further applied in a broader research area, including health services research, to enhance research capacity of these population-based studies in Canada.

Indexed as

Chronic Disease IndicatorsAdultAlbertaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedProspective Studiesadministrative health dataAlberta’s tomorrow projectKeywords chronic diseasesurveillance

Identifiers

PMID34734125
PMCPMC8530189
OpenAlexW3205416661

What Socratic 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 Socratic graph.