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Related Experiment Videos

Cancer control programme in India: opportunities for implementation and evaluation.

R Sankaranarayanan1, M K Nair, B Mathew

  • 1Regional Cancer Centre, Trivandrum, India.

International Journal of Cancer
|January 2, 1992
PubMed
Summary

India faces a growing cancer burden with 600,000 new cases annually. Effective cancer control programs require tailored evaluation metrics focusing on tobacco habits and public knowledge, attitude, and practice (KAP) patterns.

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Area of Science:

  • Public Health
  • Oncology
  • Health Policy

Background:

  • Cancer is an escalating public health challenge in India, with 600,000 new cases yearly.
  • Population growth and an aging demographic exacerbate the increasing cancer incidence.
  • National and State Cancer Control Programmes are being developed to address this rising burden.

Purpose of the Study:

  • To highlight the need for appropriate evaluation measures for cancer control programs in India.
  • To identify key factors crucial for evaluating cancer control initiatives in a developing country context.
  • To discuss the sources and quality of baseline data for realistic goal setting in cancer control.

Main Methods:

  • Analysis of existing cancer control program evaluation indices from developed countries.

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  • Identification of relevant metrics for developing nations, including tobacco habits and KAP patterns.
  • Assessment of baseline data availability and quality for key evaluation factors.

    • Main Results:

    • Standard evaluation indices used in developed countries are not directly applicable to India.
    • Factors like tobacco use patterns, public knowledge, attitude, and practice (KAP) are critical for evaluation.
    • The quality and availability of baseline data for these factors are essential for setting realistic quantitative goals.

    Conclusions:

    • Cancer control program evaluation in India must adapt metrics to the local context.
    • Focusing on community-specific factors like tobacco habits and KAP is vital for effective program monitoring.
    • Establishing robust baseline data is a prerequisite for setting achievable and meaningful quantitative goals for cancer control.