| Autor: |
R., Anjali, Gowda, Naveen R., H., Vikas, Prabhu, Meghana, Sharma, Jai Bhagwan, Vakharia, Khyati, Kumar, Atul, M. V., Akhila, Gatta, Shilpa, Sareddy, Madhuri, K. P., Sowmya, T. K., Divya, Desai, Devashish, Gopinath, Bharath, Viswanath, Somanath, Kini, Ananth |
| Předmět: |
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| Zdroj: |
iProceedings; 2023, Vol. 9 Issue 1, p1-2, 2p |
| Abstrakt: |
Background: Carcinoma cervix is one of the leading causes of death among women worldwide. The World Health Organization has put forth the 90-70-90 global strategy for the elimination of cervical cancer as a public health problem. It calls for 70% women to be screened at least once in their lifetime. However, this rate is as low as 1.9% for India and even lower for many other countries, making the target insurmountable, especially in resource-constrained settings. The COVID-19 pandemic made this even more challenging. Objective: This study aimed to identify bottlenecks and high leverage points and propose a technology-driven, national-level program for improving the screening of carcinoma cervix. Methods: Detailed process mapping was done to identify potential bottlenecks. A counterfactual approach was used to identify high leverage points for impact using "What if" scenarios. These findings were used to build program theory-based logic models to propose a national-level program for carcinoma cervix prevention. Results: Availability, accessibility, affordability, skewed distribution of infrastructure, cost implications, and limited specialist workforce were identified as bottlenecks. The COVID-19 pandemic put a strain on existing resources and worsened the situation. The existing network of primary health care workers, changes in health-seeking behavior due to COVID-19 with the increasing role of tele-health, conducive political milieu with initiatives such as Digital India Mission, and a booming start-up ecosystem were identified as high leverage points through the counterfactual approach. Using these findings, a national program was designed with program theory-based logic modeling. Conclusions: The journey from <2% of women screened at least once in their lifetime all the way to 70% would need a drastic increase in funding and resource allocation, which is unlikely considering the current conditions. COVID-19 has not only been an adversity but also opened new thinking and opportunities. Artificial intelligence-driven, cost-effective, easy-to-use, and widely acceptable solutions such as "Smart-Colpo" can be a game changer to achieve the World Health Organization targets. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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