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Small area analysis: abortion statistics

J Ubido1, J Ashton

  • 1University of Liverpool, Department of Public Health.

Journal of Public Health Medicine
|June 1, 1993
PubMed
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Small area analysis reveals disparities in family planning needs and provision in Liverpool. Areas with high abortion rates, indicating greater need, are paradoxically well-served by clinics, suggesting resource allocation challenges.

Area of Science:

  • Health Services Research
  • Public Health Analysis
  • Geographic Epidemiology

Background:

  • Small area analysis is crucial for identifying health disparities and planning services.
  • Liverpool Family Health Services Authority required a profile of planned parenthood needs.
  • Understanding resource allocation is key to effective health service delivery.

Purpose of the Study:

  • To identify areas and women most in need of family planning resources in Liverpool.
  • To analyze abortion statistics as an indicator of service effectiveness and need.
  • To map and compare National Health Service (NHS) and private abortion rates.

Main Methods:

  • Compiled a profile of planned parenthood for Liverpool using small area analysis.
  • Analyzed NHS and private (British Pregnancy Advisory Service; BPAS) abortion statistics by electoral ward and postal district.
Keywords:
Abortion RateAbortion, InducedComparative StudiesCorrelation Of DataCorrelation StudiesDelivery Of Health CareDemographic FactorsDeveloped CountriesEnglandEuropeFamily PlanningFamily Planning CentersFamily Planning ProgramsFertility Control, PostconceptionHealthHealth FacilitiesNorthern EuropePopulationPopulation CharacteristicsProgram EffectivenessProgram EvaluationProgramsStatistical StudiesStudiesUnited KingdomUrban Population

Related Experiment Videos

  • Mapped abortion rates to identify geographic variations in need and provision.

    • Main Results:

    • Areas with high NHS abortion rates generally showed high private BPAS abortion rates, and vice versa.
    • Total abortion rates were highest in city center wards and lowest in southern areas.
    • City center wards, identified as high-need areas, were paradoxically well-provided with family planning clinics.

    Conclusions:

    • Geographic variations in abortion rates suggest influence from social factors and family planning provision.
    • Despite indicators of greatest need, central city wards appear to have better family planning provision.
    • Resource allocation for family planning may not align with identified areas of greatest need.