Evidence map›Paper›PMID 33293330›Full record

ArticleCMAJ open

Outpatient uterine assessment and treatment unit in patients with abnormal uterine bleeding: an economic modelling study.

Alexandria Bennett, Kednapa Thavorn, Kristina Arendas, Doug Coyle, Sukhbir S Singh

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 38% 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. Review
  2. Interventions to improve access to care for abnormal uterine bleeding: A systematic scoping review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    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 3 institutions in 1 country.

Alexandria BennettClinical Epidemiology Program (Bennett, Thavorn), Ottawa Hospital Research Institute; School of Epidemiology and Public Health (Bennett, Thavorn, Arendas, Coyle, Singh), University of Ottawa; ICES uOttawa (Thavorn); Department of Obstetrics, Gynecology, and Newborn Care (Arendas, Singh), The Ottawa Hospital, Ottawa, Ont.
Kednapa ThavornClinical Epidemiology Program (Bennett, Thavorn), Ottawa Hospital Research Institute; School of Epidemiology and Public Health (Bennett, Thavorn, Arendas, Coyle, Singh), University of Ottawa; ICES uOttawa (Thavorn); Department of Obstetrics, Gynecology, and Newborn Care (Arendas, Singh), The Ottawa Hospital, Ottawa, Ont. kthavorn@ohri.ca.
Kristina ArendasClinical Epidemiology Program (Bennett, Thavorn), Ottawa Hospital Research Institute; School of Epidemiology and Public Health (Bennett, Thavorn, Arendas, Coyle, Singh), University of Ottawa; ICES uOttawa (Thavorn); Department of Obstetrics, Gynecology, and Newborn Care (Arendas, Singh), The Ottawa Hospital, Ottawa, Ont.
Doug CoyleClinical Epidemiology Program (Bennett, Thavorn), Ottawa Hospital Research Institute; School of Epidemiology and Public Health (Bennett, Thavorn, Arendas, Coyle, Singh), University of Ottawa; ICES uOttawa (Thavorn); Department of Obstetrics, Gynecology, and Newborn Care (Arendas, Singh), The Ottawa Hospital, Ottawa, Ont.
Sukhbir S SinghClinical Epidemiology Program (Bennett, Thavorn), Ottawa Hospital Research Institute; School of Epidemiology and Public Health (Bennett, Thavorn, Arendas, Coyle, Singh), University of Ottawa; ICES uOttawa (Thavorn); Department of Obstetrics, Gynecology, and Newborn Care (Arendas, Singh), The Ottawa Hospital, Ottawa, Ont.
Ottawa Hospital Research InstituteOttawa Hospital · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost often in Canada, the evaluation and management of abnormal uterine bleeding occurs under general anesthesia in the operating room. We aimed to assess the potential cost-effectiveness of an outpatient uterine assessment and treatment unit (UATU) compared with the current standard of care when diagnosing and treating abnormal uterine bleeding in women.

methodsWe performed a cost-effectiveness analysis and developed a probabilistic decision tree model to simulate the total costs and outcomes of women receiving outpatient UATU or usual care over a 1-year time horizon (Apr. 1, 2014, to Mar. 31, 2017) at a tertiary care hospital in Ontario, Canada. Probabilities, resource use and time to diagnosis and treatment were obtained from a retrospective chart review of 200 randomly selected women who presented with abnormal uterine bleeding. Results were expressed as overall cost and time savings per patient. Costs are reported in 2018 Canadian dollars.

resultsCompared with usual care, care in the UATU was associated with a decrease in overall cost ($1332, 95% confidence interval [CI] -$1742 to -$1008) and a decrease in overall time to treatment (-75, 95% CI -89 to -63, d). The point at which the UATU would no longer be cost saving is if the additional cost to operate and maintain the UATU is greater than $1600 per patient.

interpretationFrom the perspective of Canada's health care system, an outpatient UATU is more cost effective than usual care and saves time. Future studies should focus on the relative efficacy of a UATU and the total budget required to operate and maintain a UATU.

Indexed as

Health Care CostsOutpatientsAdultCost-Benefit AnalysisFemaleGynecologic Surgical ProceduresHumansMiddle AgedModels, EconomicOntarioQuality-Adjusted Life YearsRetrospective StudiesTertiary Care CentersUterine DiseasesUterine Hemorrhage

Identifiers

PMID33293330
PMCPMC7743907
OpenAlexW3110883461

What OpenQuestion holds

Textmetadata
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.