OBJECTIVE: Within the framework of a health technology assessment and using an economic model, to determine the most clinically and cost effective policy of scanning and screening for fetal abnormalities in early pregnancy. DESIGN: A discrete event simulation model of 50,000 singleton pregnancies. SETTING: Maternity services in Scotland. POPULATION: Women during the first 24 weeks of their pregnancy. METHODS: The mathematical model was populated with data on uptake of screening, prevalence, detection and false positive rates for eight fetal abnormalities and with costs for ultrasound scanning and serum screening. Inclusion of abnormalities was based on the relative prevalence and clinical importance of conditions and the availability of data. Six strategies for the identification of abnormalities prenatally including combinations of first and second trimester ultrasound scanning and first and second trimester screening for chromosomal abnormalities were compared. MAIN OUTCOME MEASURES: The number of abnormalities detected and missed, the number of iatrogenic losses resulting from invasive tests, the total cost of strategies and the cost per abnormality detected were compared between strategies. RESULTS: First trimester screening for chromosomal abnormalities costs more than second trimester screening but results in fewer iatrogenic losses. Strategies which include a second trimester ultrasound scan result in more abnormalities being detected and have lower costs per anomaly detected. CONCLUSIONS: The preferred strategy includes both first and second trimester ultrasound scans and a first trimester screening test for chromosomal abnormalities. It has been recommended that this policy is offered to all women in Scotland.
OBJECTIVE: Within the framework of a health technology assessment and using an economic model, to determine the most clinically and cost effective policy of scanning and screening for fetal abnormalities in early pregnancy. DESIGN: A discrete event simulation model of 50,000 singleton pregnancies. SETTING: Maternity services in Scotland. POPULATION: Women during the first 24 weeks of their pregnancy. METHODS: The mathematical model was populated with data on uptake of screening, prevalence, detection and false positive rates for eight fetal abnormalities and with costs for ultrasound scanning and serum screening. Inclusion of abnormalities was based on the relative prevalence and clinical importance of conditions and the availability of data. Six strategies for the identification of abnormalities prenatally including combinations of first and second trimester ultrasound scanning and first and second trimester screening for chromosomal abnormalities were compared. MAIN OUTCOME MEASURES: The number of abnormalities detected and missed, the number of iatrogenic losses resulting from invasive tests, the total cost of strategies and the cost per abnormality detected were compared between strategies. RESULTS: First trimester screening for chromosomal abnormalities costs more than second trimester screening but results in fewer iatrogenic losses. Strategies which include a second trimester ultrasound scan result in more abnormalities being detected and have lower costs per anomaly detected. CONCLUSIONS: The preferred strategy includes both first and second trimester ultrasound scans and a first trimester screening test for chromosomal abnormalities. It has been recommended that this policy is offered to all women in Scotland.
Authors: Federica Visconti; Paola Quaresima; Eusebio Chiefari; Patrizia Caroleo; Biagio Arcidiacono; Luigi Puccio; Maria Mirabelli; Daniela P Foti; Costantino Di Carlo; Raffaella Vero; Antonio Brunetti Journal: Int J Environ Res Public Health Date: 2019-09-28 Impact factor: 3.390
Authors: Joe Viana; Tone Breines Simonsen; Hildegunn E Faraas; Nina Schmidt; Fredrik A Dahl; Kari Flo Journal: BMC Health Serv Res Date: 2020-02-14 Impact factor: 2.655
Authors: Jean Gekas; Geneviève Gagné; Emmanuel Bujold; Daniel Douillard; Jean-Claude Forest; Daniel Reinharz; François Rousseau Journal: BMJ Date: 2009-02-13