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. 2019 Aug;146(2):170-176.
doi: 10.1002/ijgo.12859. Epub 2019 May 30.

A community-based, cross-sectional study of hrHPV DNA self-sampling-based cervical cancer screening in rural Karnataka, India

Prajakta Adsul  1   2   3 , Vijaya Srinivas  2 , Savitha Gowda  2 , Shivamma Nayaka  2 , Rashmi Pramathesh  2 , Kavitha Chandrappa  2 , Anisa Khan  2 , Poornima Jayakrishna  2 , Purnima Madhivanan  2   3   4
Affiliations

A community-based, cross-sectional study of hrHPV DNA self-sampling-based cervical cancer screening in rural Karnataka, India

Prajakta Adsul et al. Int J Gynaecol Obstet. 2019 Aug.

Abstract

Objective: To examine the feasibility of implementing a high-risk HPV (hrHPV) DNA-based screening program for cervical cancer and the prevalence of hrHPV DNA-positive women in a community setting in rural India.

Methods: A cross-sectional study was conducted at the community level in the Hunsur taluk of the Mysore district from January to August 2016. Cervical cancer screening was conducted with self-collected vaginal samples that were analyzed using the Hybrid Capture 2 (HC2) assay (Qiagen, USA).

Results: The majority of participants were aged 30-39 years, with no formal schooling, from a lower caste, and lived below an annual household income of US$1499. After group health education and one-on-one counseling, a total of 473 women underwent self-sampling. Of these, 36 (7.6%) were positive for hrHPV and only 24 (66.6%) underwent follow-up diagnostic triaging. Cancer was detected in two women, who were referred to appropriate healthcare facilities for further treatment.

Conclusion: Implementation of hrHPV DNA-based screening tests using self-sampling can be feasible in rural settings in India. However, substantial resources are required for providing health education and one-on-one counseling to inform asymptomatic women about the benefits of testing and, more importantly, to improve compliance with follow-up.

Keywords: HPV DNA; Cervical cancer; Cross-sectional study; Demonstration study; Implementation; Screening; Self-sampling.

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Conflict of interest statement

Conflicts of interest

The authors have no conflicts of interest.

Figures

Figure 1.
Figure 1.
Follow-up algorithm for cervical cancer screening
See this image and copyright information in PMC

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