Evidence map›Paper›PMID 24832200›Full record

ArticlePloS one2014

Budget impact analysis of switching to digital mammography in a population-based breast cancer screening program: a discrete event simulation model.

Mercè Comas, Arantzazu Arrospide, Javier Mar, Maria Sala, Ester Vilaprinyó, Cristina Hernández, Francesc Cots, Juan Martínez, Xavier Castells

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it
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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

9 authors.

Mercè ComasEpidemiology and Evaluation Department, Hospital del Mar, Barcelona; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain.
Arantzazu ArrospideRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain; Gipuzkoa Oeste Research Unit, Hospital Alto Deba, Arrasate, Spain.
Javier MarRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain; Gipuzkoa Oeste Research Unit, Hospital Alto Deba, Arrasate, Spain.
Maria SalaEpidemiology and Evaluation Department, Hospital del Mar, Barcelona; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain.
Ester VilaprinyóRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain; Basic Medical Sciences Department, Biomedical Research Institute of Lleida (IRBLLEIDA)-University of Lleida, Lleida, Spain.
Cristina HernándezEpidemiology and Evaluation Department, Hospital del Mar, Barcelona; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Francesc CotsRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain; Management Control Department, Hospital del Mar, Barcelona; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Juan MartínezRadiology Department, Hospital del Mar, Barcelona, Spain.
Xavier CastellsEpidemiology and Evaluation Department, Hospital del Mar, Barcelona; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the budgetary impact of switching from screen-film mammography to full-field digital mammography in a population-based breast cancer screening program.

methodsA discrete-event simulation model was built to reproduce the breast cancer screening process (biennial mammographic screening of women aged 50 to 69 years) combined with the natural history of breast cancer. The simulation started with 100,000 women and, during a 20-year simulation horizon, new women were dynamically entered according to the aging of the Spanish population. Data on screening were obtained from Spanish breast cancer screening programs. Data on the natural history of breast cancer were based on US data adapted to our population. A budget impact analysis comparing digital with screen-film screening mammography was performed in a sample of 2,000 simulation runs. A sensitivity analysis was performed for crucial screening-related parameters. Distinct scenarios for recall and detection rates were compared.

resultsStatistically significant savings were found for overall costs, treatment costs and the costs of additional tests in the long term. The overall cost saving was 1,115,857€ (95%CI from 932,147 to 1,299,567) in the 10th year and 2,866,124€ (95%CI from 2,492,610 to 3,239,638) in the 20th year, representing 4.5% and 8.1% of the overall cost associated with screen-film mammography. The sensitivity analysis showed net savings in the long term.

conclusionsSwitching to digital mammography in a population-based breast cancer screening program saves long-term budget expense, in addition to providing technical advantages. Our results were consistent across distinct scenarios representing the different results obtained in European breast cancer screening programs.

Indexed as

AgedAgingBreast NeoplasmsComputer SimulationEarly Detection of CancerFemaleHealth Care CostsHumansMammographyMass ScreeningMiddle AgedModels, EconomicProbabilityProgram EvaluationRadiographic Image EnhancementSensitivity and Specificity

Identifiers

PMID24832200
PMCPMC4022526

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Registered trials

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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.