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Related Experiment Videos

Using data to plan public health programs: experience from state cancer prevention and control programs

M H Alciati1, K Glanz

  • 1Office on Women's Health, Public Health Service, Department ofHealth and Human Services, USA.

Public Health Reports (Washington, D.C. : 1974)
|March 1, 1996
PubMed
Summary

State health agencies used data analysis for cancer control planning, finding health statistics and behavioral data most useful for targeting specific cancers and populations. This data-driven approach enhanced agency credibility but had limitations in identifying specific barriers.

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Area of Science:

  • Public Health
  • Health Services Research
  • Cancer Control

Background:

  • The National Cancer Institute funded Data-Based Intervention Research (DBIR) cooperative agreements with state health agencies.
  • The initiative aimed to establish ongoing cancer prevention and control programs using a four-phase planning model.
  • Activities involved data identification and analysis to develop state cancer control plans.

Purpose of the Study:

  • To understand how states utilize diverse data for public health planning decisions.
  • To assess the sufficiency and limitations of available data for cancer control planning.
  • To evaluate the perceived costs and benefits of a data-based planning approach.

Main Methods:

  • Review of data analysis and planning activities from five DBIR projects.

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  • Analysis of how different data types were used in public health planning.
  • Assessment of data sufficiency, costs, and benefits.

    • Main Results:

    • Consistent use of health statistics and behavioral data across states.
    • Inconsistent use of data on health services availability, utilization, and cancer control policies.
    • Data were most effective for decisions on specific cancers, population targeting, general barriers, and influencing policymakers.
    • Data were less effective for identifying specific intra-population barriers and guiding intervention component selection.

    Conclusions:

    • Data-based planning, particularly using health statistics and behavioral data, is beneficial for state cancer control efforts.
    • The process of data integration and stakeholder involvement enhances state health agency credibility.
    • Limitations exist in using data to identify specific barriers and guide detailed intervention implementation.