Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


Objective

This research evaluated global health disparities of cervical cancer, and foretasted trends from 2022 to 2040.

Methods

Cross country inequalities [Slope Index of Inequality (SII)and the Concentration Index] are used to measure inequality. Frontier analysis evaluates the medical quality by calculating the difference between actual values and frontier values. Average annual percentage changes (AAPCs) were computed to discern trends from 2022 to 2040.

Results

The global SII for the age-standardized death rate (ASDR) of cervical cancer was -9.14 per 100,000 in 1990 and -9.62 in 2021. For age-standardized disability-adjusted life years(DALY) rate, the Concentration Index was -0.22 in 1990 and -0.3 in 2021. Frontier analysis calculated the difference between the actual value and the frontier value, indicating that countries with the most significant potential for reducing the disease burden of cervical cancer are Kiribati, Lesotho, Zimbabwe, Eswatini, and Eritrea. The global age standardized incidence rate (ASIR) and ASDR for cervical cancer are expected to decline by 2040, with an AAPC of -0.34 (95% confidence interval [CI]=-0.35 to -0.34) and -0.99 (95% CI=-0.99 to -0.99), respectively. However, in Eastern Europe, Central Latin America, Tropical Latin America, and Sub-Saharan Africa, the ASIR for cervical cancer is projected to continue rising through 2040. Unsafe sex is a contributing factor to cervical cancer deaths.

Conclusion

Cross national inequalities show that from 1990 to 2021, the trend of cervical cancer inequality has intensified and is concentrated in low socio-demographic index regions. Healthcare services in countries like Kiribati, Lesotho, and Zimbabwe need significant improvement.

References 


Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.


    • Save

    • Claim to ORCID