Small area analysis: abortion statistics.
Small area analysis has developed over the last two or three decades as a useful tool in health services research, as it allows the identification of areas within health or local authority districts with high rates of morbidity and mortality, and thus provides a useful base for planning the delivery of health services. A profile was compiled for Liverpool Family Health Services Authority on planned parenthood in the Liverpool District, with the aim of identifying where resources are needed most - which parts of the City, and which groups of women, are most in need. The profile included an analysis of various outcome measures, including abortion statistics, which can be used as a guide to the apparent effectiveness of services. Using a combination of statistics on NHS abortions for electoral wards, and private abortions by postal district, it became apparent that, on the whole, areas of high NHS induced abortion rates also have high private (British Pregnancy Advisory Service; BPAS) induced abortion rates, and vice versa. The maps for NHS and BPAS abortion rates suggest that total abortion rates are high in City centre wards, and low in areas south of the City. This would suggest that there are differences in social factors, family planning provision, and other factors which are influencing abortion rates. Although available indicators would suggest that City centre wards are in greatest need of improved family planning provision, these are the wards which are relatively well provided with health authority family planning clinics.(ABSTRACT TRUNCATED AT 250 WORDS)
Ubido
J
J
University of Liverpool, Department of Public Health.
Ashton
J
J
D000028:Abortion, Induced / Q000191:economics / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D016208:Databases, Factual; D004739:England; D005193:Family Planning Services / Q000592:standards*; D005260:Female; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006302:Health Services Research / Q000379:methods; D006801:Humans; D017063:Outcome Assessment, Health Care; D011177:Postal Service; D011203:Poverty; D011331:Private Practice / Q000706:statistics & numerical data; D017062:Small-Area Analysis; D012959:Socioeconomic Factors; D013222:State Medicine / Q000706:statistics & numerical data