Abstract

The prevalence of genital warts (GW) and self-reported human papillomavirus (HPV) as well as disease-related psychosocial impact among male and female patients aged 18-60 years in India were assessed. GW prevalence was estimated using a 2-week daily log of patients examined from June 7-September 22, 2011 by 200 participating physicians in 6 regions of India. Psychosocial impact was estimated using one-time, self-administered surveys, including HPV Impact Profile (HIP), Cuestionario Específico para Condiloma Acuminado ([Spanish] CECA; "Specific questionnaire for Condylomata Acuminata") and EuroQol-5 Dimension survey. T-tests or Mann-Whitney U-tests were used for continuous comparisons and Chi-square or Fisher exact tests were applied for categorical comparisons. Overall GW prevalence in India was estimated at 1.07% (95% confidence interval = 0.97-1.17) and was higher among men than women. Regional prevalence ranged from high in Delhi (2.17%) to low in Bangalore (0.40%). Patients aged 25-29 years had the highest GW prevalence (1.42%). GW patients were most often newly diagnosed (74.07%). Among those with existing GW, 56.24% were recurrent, and 43.76% were resistant. According to total HIP scores, 55.4% of male GW patients and 20.0% of those without GW reported moderate psychological impact (p < 0.0001). HIP scores among women revealed that patients with abnormal Papanicolaou (Pap) test results (34.3%), precancerous lesions (46.2%), external GW (48.0%), and those without HPV-related disease (18.5%) reported moderate psychological impact (p = 0.0089) (Psychosocial impact results are reported in the Supplementary Data ). Estimated national GW prevalence, diagnosis, and treatment costs in India were higher for men than for women. GW in men and HPV infection in women had a negative psychosocial impact on well-being and health-related quality of life (HRQoL) scores, especially among women diagnosed with GW and precancerous lesions compared to those with other selected HPV-related diseases. Despite its limitations, this study provides an estimation of GW data in India not previously available.

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