Evidence map›Paper›PMID 32817636›Full record

ArticlePloS one2020

Understanding resource utilization and mortality in COPD to support policy making: A microsimulation study.

Elizabeth G Bond, Lusine Abrahamyan, Mohammad K A Khan, Andrea Gershon, Murray Krahn, Ping Li, Rajibul Mian, Nicholas Mitsakakis, Mohsen Sadatsafavi, Teresa To and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Elizabeth G BondChild Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.ORCID 0000-0002-1621-5503
Lusine AbrahamyanToronto General Hospital Research Institute, Toronto Health Economics and Technology Assessment (THETA) Collaborative, University of Toronto, Toronto, ON, Canada.
Mohammad K A KhanDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Andrea GershonInstitute of Health Policy, Management and Evaluation (IHPME), Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Murray KrahnToronto General Hospital Research Institute, Toronto Health Economics and Technology Assessment (THETA) Collaborative, University of Toronto, Toronto, ON, Canada.
Ping LiICES, Toronto, ON, Canada.
Rajibul MianMcMaster University, Hamilton, ON, Canada.
Nicholas MitsakakisToronto General Hospital Research Institute, Toronto Health Economics and Technology Assessment (THETA) Collaborative, University of Toronto, Toronto, ON, Canada.
Mohsen SadatsafaviCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-0419-7862
Teresa ToChild Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Petros PechlivanoglouChild Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Canadian Respiratory Research Network

Funding

CIHR
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) poses a significant but heterogeneous burden to individuals and healthcare systems. Policymakers develop targeted policies to minimize this burden but need personalized tools to evaluate novel interventions and target them to subpopulations most likely to benefit. We developed a platform to identify subgroups that are at increased risk of emergency department visits, hospitalizations and mortality and to provide stratified patient input in economic evaluations of COPD interventions. We relied on administrative and survey data from Ontario, Canada and applied a combination of microsimulation and multi-state modeling methods. We illustrated the functionality of the platform by quantifying outcomes across smoking status (current, former, never smokers) and by estimating the effect of smoking cessation on resource use and survival, by comparing outcomes of hypothetical cohorts of smokers who quit at diagnosis and smokers that continued to smoke post diagnosis. The cumulative incidence of all-cause mortality was 37.9% (95% CI: 34.9, 41.4) for never smokers, 34.7% (95% CI: 32.1, 36.9) for current smokers, and 46.4% (95% CI: 43.6, 49.0) for former smokers, at 14 years. Over 14 years, smokers who did not quit at diagnosis had 16.3% (95% CI: 9.6, 38.4%) more COPD-related emergency department visits than smokers who quit at diagnosis. In summary, we combined methods from clinical and economic modeling to create a novel tool that policymakers and health economists can use to inform future COPD policy decisions and quantify the effect of modifying COPD risk factors on resource utilization and morality.

Indexed as

Policy MakingAgedCost-Benefit AnalysisFemaleHealth ResourcesHospitalizationHumansMaleMiddle AgedModels, TheoreticalNon-SmokersOntarioPatient Acceptance of Health CarePulmonary Disease, Chronic ObstructiveRetrospective StudiesRisk Factors

Identifiers

PMID32817636
PMCPMC7444558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.