Organisation and cost-effectiveness of antenatal haemoglobinopathy screening and follow up in a community-based programme.
OBJECTIVE
To consider the organisation cost and effectiveness, of universal, community-based antenatal screening for the haemoglobinopathies, and to estimate the cost-effectiveness of programmes at different levels of prevalence and mix of haemoglobinopathy traits.


METHODS
Retrospective review of laboratory and Sickle Cell and Thalassaemia Centre worksheets with costing of capital equipment, consumables, salaries and overheads, and estimation of costs in a range of circumstances.


METHODS
A haematology department, including a Sickle Cell and Thalassaemia Centre, providing antenatal and neonatal screening programmes in Inner London.


METHODS
Two thousand one hundred and one women booking at the antenatal clinic whose samples were referred for screening during 1994.


RESULTS
In addition to assessing the cost-effectiveness of antenatal haemoglobinopathy screening in a number of settings, the following specific financial information was assembled for the service in Brent: 1. cost of identifying abnormal haemoglobin in mother (ł209); 2. cost of identifying at-risk fetus before confirmation by prenatal diagnosis (ł2,455); 3. cost of providing genetic information and counselling to mother with abnormal haemoglobin (ł109); 4. programme savings from cases averted (ł61,000). Conclusions Antenatal screening with follow up counselling can be self-financing at most prevalences of haemoglobinopathy traits, with greater savings where a high proportion of the traits are beta thalassaemia. There is a net financial cost (ł1,350) only at prevalences below 2.5% of traits if these are mainly for sickle cell disease. Since there are other benefits is it likely that antenatal screening will be considered cost-effective even at quite low levels of trait prevalence.
Cronin
E K
EK
Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, UK.
Normand
C
C
Henthorn
J S
JS
Graham
V
V
Davies
S C
SC
D000465:Algorithms; D018672:Community Health Planning / Q000191:economics; D003153:Community Health Services / Q000191:economics*; D003362:Cost-Benefit Analysis; D005260:Female; D005315:Fetal Diseases / Q000175:diagnosis*; D006453:Hemoglobinopathies / Q000175:diagnosis*; D006801:Humans; D008131:London; D011247:Pregnancy; D011296:Prenatal Diagnosis / Q000191:economics / Q000379:methods*; D012189:Retrospective Studies