Investigator

Mireia Díaz

Associate professor · Universitat autonoma de Barcelona, Economics and Economic history

MDMireia Díaz
Papers(1)
Cost-effectiveness an…
Collaborators(1)
Joan Brunet
Institutions(1)
Institut Catal Doncol…

Papers

Cost-effectiveness analysis of molecular testing in minimally invasive samples to detect endometrial cancer in women with postmenopausal bleeding

Abstract Introduction New approaches are being developed to early detect endometrial cancer using molecular biomarkers. These approaches offer high sensitivities and specificities, representing a promising horizon to develop early detection strategies. Objective To evaluate the effectiveness and cost-effectiveness of introducing molecular testing to detect endometrial cancer in women with postmenopausal bleeding compared to the current strategy using the national healthcare service perspective. Methods A Markov model was developed to assess the two early detection strategies. The model predicts the number of hysterectomies, lifetime expectancy, quality-adjusted life-years, endometrial cancer prevalence and incidence, mortality from endometrial cancer and the lifetime cost of screening, diagnosis, and treatment. Strategies were compared using the incremental cost-effectiveness ratio. Results The molecular strategy reduces 1.9% of the overall number of hysterectomies and the number of undetected cancer cases by 65%. Assuming a molecular test cost of 310€, the molecular strategy has an incremental cost of -32,952€ per QALY gained, being more effective and less expensive than the current strategy. Conclusions The introduction of molecular testing to diagnose endometrial cancer in women presenting postmenopausal bleeding provides more health benefit at a lower cost, and therefore has the potential to be cost-effective.

57Works
1Papers
1Collaborators
Endometrial NeoplasmsEarly Detection of CancerUterine Cervical Neoplasms

Positions

2010–

Associate professor

Universitat autonoma de Barcelona · Economics and Economic history

1994–

Researcher

Catalan Institute of Oncology · Unit of Infections and Cancer (UNIC), ​​Cancer Epidemiology Research Programme

Education

2015

Doctorate

Universitat Autònoma de Barcelona · Programa de Salud Pública y Metodología en la Investigación Biomédica. Departamento de Pediatría, Obstetricia y Ginecología

2005

Statistical Science and Techniques

Universitat Politècnica de Catalunya · School of Mathematics and Statistics

1994

Statistics

Universitat Autònoma de Barcelona · Mathematics and Statistics

Country

ES

Keywords
CancerHealth economicsStatisticPublic health
Links & IDs
0000-0001-9360-4548icoepi.neticoepi.netico.gencat.catidibell.cat

Scopus: 7402044125

Researcher Id: H-1593-2015