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Analyzing Global Cancer Control: Progress of National Cancer Control Programs through Composite Indicators and

Rohit Singh Chauhan1, Anusheel Munshi2, Anirudh Pradhan3

  • 1Department of Physics, GLA University, Mathura, Uttar Pradesh, India.

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Composite indicators effectively assess National Cancer Control Programs (NCCPs) progress. This study demonstrates their utility in predicting cancer control outcomes, aiding global cancer reduction efforts.

Keywords:
Cancermachine learningoncologyradiotherapyregression

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Services Research

Background:

  • Cancer poses a significant global health challenge, necessitating effective National Cancer Control Programs (NCCPs).
  • Evaluating NCCP effectiveness is complex due to multifaceted outcomes and influencing factors.
  • Composite indicators offer a promising approach for comprehensive NCCP assessment.

Purpose of the Study:

  • To evaluate the utility of composite indicators in assessing National Cancer Control Programs (NCCPs) progress.
  • To establish relationships between composite indicators and key cancer control outcomes.
  • To develop a predictive model for NCCP outcomes using composite indicators.

Main Methods:

  • Compiled data from 144 countries, including eight composite indices and two comparative indicators: mortality-to-incidence ratio (MIR) and prevalence-to-incidence ratio (PCIR).
  • Utilized linear regression analysis and Pearson correlation to examine indicator-outcome relationships.
  • Developed a multiple regression machine learning model to predict NCCP outcomes.

Main Results:

  • Low-income countries exhibited the highest MIR, while high-income countries had the highest incidence.
  • Composite indicators showed negative trends with MIR and positive trends with PCIR.
  • The Human Development Index and Legatum Prosperity Index were strong predictors of MIR and PCIR, respectively.
  • The machine learning model achieved high accuracy (R²=0.86) in predicting NCCP outcomes.

Conclusions:

  • Composite indicators are valuable tools for evaluating NCCP performance.
  • The developed model accurately predicts NCCP outcomes, supporting cancer control strategies.
  • Findings can guide the development and monitoring of NCCPs for improved global cancer control.