In low and middle-income countries, access to cancer diagnosis and treatment is suboptimal. Further, compliance to cancer treatment is a major issue due to various reasons including financial barriers, lack of family support and fear of treatment. This article discusses the determinants of treatment completion in cancer patients of a government-run hospital, in a rural part of Punjab in India. The Sangrur hospital-based cancer registry data for the year 2018 have been used. We have registered 2,969 cancer cases, out of which 2,528 (85%) cases were eligible for the analysis. Of the total 2,528 cases, 1,362 (54%) cases completed the cancer directed treatment and 1,166 (46%) did not. The data have been collected from the electronic medical record (EMR) department and entered into CanReg5 software. The bivariate and multivariate binary logistic regression analysis was performed to see the effect of variables on the treatment completion. The results indicate that the elderly age group (>60 years) (odds ratio (OR): 0.52, (95% confidence interval (CI): 0.31–0.86)), distance from hospital (OR: 0.67, (95% CI: 0.50–0.89)) and access to government health schemes (OR: 0.13, (95% CI: 0.10–0.19)] have direct correlation with the treatment completion. The educated patients (OR: 1.49, (95% CI: 1.13–1.96)) and patients who received curative treatment (OR: 2.7, (95% CI: 1.88–3.88)) have shown 58% and 84% compliance to treatment completion, respectively. The other variables like the clinical extent of disease, religion, gender and income do not have any significant effect on the treatment completion. Determinants like age (young), education, distance from the hospital, curative treatment and availability of government health schemes for financial support have shown positive effects on treatment completion. These factors have to be considered by the cancer hospitals, health departments and policymakers while planning for cancer care or control in India.
Globally, cervical cancer is the fourth most common cancer among females and a major public health problem in low-and middle-income countries (LMICs). There are several screening tests available for cervical cancer screening; however, due to a lack of organised screening facilities as well as factors such as low participation rates in screening programmes, many women die due to cervical cancer. To reach out to a large number of women, an easy, non-invasive and time-saving screening method is required. Evidence supports that cervical cancer screening with human papillomavirus deoxyribonucleic acid (HPV DNA) testing is the most effective technique for lowering the incidence and mortality associated with cervical cancer when compared to other screening methods. Furthermore, a small number of studies have reported that menstrual blood can be used as an alternative sample for HPV detection for cervical cancer screening. We have done a systematic review of the studies that have reported the diagnostic accuracy of menstrual blood to detect HPV. We found five studies in our literature search. The studies showed the diagnostic accuracy of menstrual blood in terms of sensitivity ranging from 82.8% to 97.7% and specificity ranging from 50.0% to 98.0% in cervical intraepithelial neoplasia or HPV infection detection. This review supports the use of menstrual blood as a screening tool for cervical cancer especially in LMICs where women are reluctant to participate in cervical cancer screening due to issues such as embarrassment and discomfort to test Review
Introduction: There is a scarcity of population-based prostate cancer survival data in India. We assessed the population-based, overall survival of patients with prostate cancer from the Sangrur and Mansa cancer registries of the Punjab state, India. Methods: In the year 2013–2016, a total of 171 prostate cancer cases were registered in these two registries. Based on these registries, survival analysis was performed using the date of diagnosis as the starting date and the last follow-up date being December 31, 2021 or the date of death. Survival was calculated using STATA software. Relative survival was calculated using the Pohar Perme method. Results: Follow up was available for all the registered cases. Of the 171 cases, 41 (24%) were alive and 130 (76.0%) were dead. Of the prescribed treatments, 106 (62.7%) cases completed the treatment and 63 (37.3%) cases did not complete the treatment. Overall, 5-year age-standardized prostate cancer relative survival was 30.3%. Patients who completed the treatment had a 7.8 times higher 5-year relative survival (45.5%) compared to those who did not (5.8%). The difference between the two groups is statistically significant (hazard ratio 0.16, 95% confidence interval [0.10–0.27]). Conclusion: To improve survival, we need to raise awareness in the community and among primary physicians so that prostate cancer cases can reach the hospital early and should be treated effectively. The cancer center should develop the systems in their hospital so that there will be no hurdles to the patients in treatment completion. We found a low overall relative survival among patients of prostate cancer in these two registries. Patients who received treatment had a significantly higher survival.
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