Evidence map›Paper›PMID 37935489›Full record

ArticleCMAJ open

Budget impact analysis of adopting primary care-based case detection of chronic obstructive pulmonary disease in the Canadian general population.

Rachael Mountain, Dexter Kim, Kate M Johnson

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Application of Discrete Event Simulation Models for COPD Management: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2025
    Pooled it
  3. Article
  4. Article
  5. 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

3 authors at 2 institutions in 2 countries.

Rachael MountainCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences (Mountain, Johnson), University of British Columbia, Vancouver, BC; Centre for Health Informatics, Computing, and Statistics (Mountain), Lancaster Medical School, Lancaster University, Lancaster, UK; Faculty of Medicine (Kim) and Division of Respiratory Medicine, Department of Medicine (Johnson), University of British Columbia, Vancouver, BC.
Dexter KimCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences (Mountain, Johnson), University of British Columbia, Vancouver, BC; Centre for Health Informatics, Computing, and Statistics (Mountain), Lancaster Medical School, Lancaster University, Lancaster, UK; Faculty of Medicine (Kim) and Division of Respiratory Medicine, Department of Medicine (Johnson), University of British Columbia, Vancouver, BC.
Kate M JohnsonCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences (Mountain, Johnson), University of British Columbia, Vancouver, BC; Centre for Health Informatics, Computing, and Statistics (Mountain), Lancaster Medical School, Lancaster University, Lancaster, UK; Faculty of Medicine (Kim) and Division of Respiratory Medicine, Department of Medicine (Johnson), University of British Columbia, Vancouver, BC kate.johnson@ubc.ca.
Lancaster University · GBUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn estimated 70% of Canadians with chronic obstructive pulmonary disease (COPD) have not received a diagnosis, creating a barrier to early intervention, and there is growing interest in the value of primary care-based opportunistic case detection for COPD. We sought to build on a previous cost-effectiveness analysis by evaluating the budget impact of adopting COPD case detection in the Canadian general population.

methodsWe used a validated discrete-event microsimulation model of COPD in the Canadian general population aged 40 years and older to assess the costs of implementing 8 primary care-based case detection strategies over 5 years (2022-2026) from the health care payer perspective. Strategies varied in eligibility criteria (based on age, symptoms or smoking history) and testing technology (COPD Diagnostic Questionnaire [CDQ] or screening spirometry). Costs were determined from Canadian studies and converted to 2021 Canadian dollars. Key parameters were varied in one-way sensitivity analysis.

resultsAll strategies resulted in higher total costs compared with routine diagnosis. The most cost-effective scenario (the CDQ for all patients) had an associated total budget expansion of $423 million, with administering case detection and subsequent diagnostic spirometry accounting for 86% of costs. This strategy increased the proportion of individuals diagnosed with COPD from 30.4% to 37.8%, and resulted in 4.6 million referrals to diagnostic spirometry. Results were most sensitive to uptake in primary care.

interpretationAdopting a national COPD case detection program would be an effective method for increasing diagnosis of COPD, dependent on successful uptake. However, it will require prioritisation by budget holders and substantial additional investment to improve access to diagnostic spirometry.

Identifiers

PMID37935489
PMCPMC10635706
OpenAlexW4388456689

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.