Evidence map›Paper›PMID 32567816›Full record

ArticleACR open rheumatology2020

Determination of Rheumatoid Arthritis Incidence and Prevalence in Alberta Using Administrative Health Data.

Deborah A Marshall, Tram Pham, Peter Faris, Guanmin Chen, Siobhan O'Donnell, Claire E H Barber, Sharon LeClercq, Steven Katz, Joanne Homik, Jatin N Patel and 3 more

Abstract read
In one paragraph

Article in ACR open rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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.

Deborah A MarshallUniversity of Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-8467-8008
Tram PhamUniversity of Calgary, Alberta, Canada.
Peter FarisAlberta Health Services, Calgary, Alberta, Canada.
Guanmin ChenAlberta Health Services, Calgary, Alberta, Canada.
Siobhan O'DonnellPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Claire E H BarberUniversity of Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-3062-5488
Sharon LeClercqUniversity of Calgary, Alberta, Canada.
Steven KatzUniversity of Alberta, Edmonton, Alberta, Canada.
Joanne HomikUniversity of Alberta, Edmonton, Alberta, Canada.
Jatin N PatelUniversity of Calgary, Calgary, Alberta and Alberta Health Services, Calgary, Alberta, Canada.
Elena LopatinaUniversity of Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-8233-587X
Jill RobertsAlberta Health Services, Calgary, Alberta, Canada.
Dianne MosherUniversity of Calgary, Alberta, Canada.

Funding

Arthritis Society Models of Care grant (MOC-13-007)Arthur J.E. Child Chair in RheumatologyCanada Research Chair in Health Systems and Services ResearchPartnership for Research and Innovation in the Health System (PRIHS) grant Optimizing centralized intake to improve arthritis care in Albertans 201300472
6 · The paper itself

Abstract

objectiveThe objective of the study was to estimate the incidence and prevalence of rheumatoid arthritis (RA) in Alberta using administrative health data.

methodsWe identified RA cases in patients 16 years and older by applying a national case definition to linked administrative health data (ie, hospital discharge abstract records, physician claims, and health insurance registry records) using a unique personal identifier. Incidence and prevalence are reported for the 2015-2016 fiscal year and a trend analysis from 2011-2012 to 2015-2016. Incidence and prevalence estimates were standardized using the 2011 Canadian census population.

resultsIn 2015-2016, the overall crude incidence was 0.74 [95% confidence interval (CI): 0.71-0.77] per 1000 and crude prevalence was 1.08% (95% CI: 1.07-1.09). The women-to-men crude incidence and prevalence sex ratios were 2.04 and 2.19, respectively. People aged 65 to 79 years had the highest incidence of RA, and the highest prevalence was observed among those 80 years and older. From 2011-2012 to 2015-2016, the overall age-standardized incidence decreased [0.97 (95% CI: 0.94-1.01) to 0.79 (95% CI: 0.76-0.82) per 1000], whereas age-standardized prevalence remained constant [1.17 (95% CI: 1.15-1.18) to 1.18 (95% CI: 1.17-1.19)].

conclusionIn Alberta, there was a decreasing trend in RA incidence over the study period, whereas prevalence was stable. These estimates, combined with clinical data, will be used to measure system performance for quality improvement and to inform simulation modeling for planning the expected demand for health services for patients living with RA.

Identifiers

PMID32567816
PMCPMC7368140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.