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In low‐ and middle‐income countries most of the cancer patients attend the hospital at a late stage and treatment completion of these cases is challenging. The early detection program (EDP), in rural areas of Punjab state, India was initiated to identify breast, cervical, and oral cancer at an early stage by raising awareness and providing easy access to diagnosis and treatment. A total of 361 health education programs and 99 early detection clinics were organized. The symptomatic and self‐interested (non‐symptomatic individuals who opted for screening) cases visited the detection clinic. They were screened for breast, cervical, and/or oral cancer. Further diagnosis and treatment of screen‐positive cases were carried out at Homi Bhabha Cancer Hospital (HBCH), Sangrur. Community leaders and healthcare workers were involved in all the activities. The EDP, Sangrur removed barriers between cancer diagnosis and treatment with the help of project staff. From 2019 to 2023, a total of 221,317 populations were covered. Symptomatic and self‐interested individuals attended the breast (1627), cervical (1601), and oral (1111) examinations. 46 breast (in situ‐4.3%; localized‐52.2%), 9 cervical (localized‐77.8%), and 12 oral (localized‐66.7%) cancer cases were detected, and treatment completion was 82.6%, 77.8%, and 50.0%, respectively. We compared cancer staging and treatment completion of cases detected through EDP with the cases attended HBCH from Sangrur district in 2018; the difference between two groups is statistically significant. Due to the early detection approach, there is disease down‐staging and improvement in treatment completion. This approach is feasible and can be implemented to control these cancers in low‐ and middle‐income countries. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]