Measuring the effectiveness and quality of RMNCH Services at the CiVHSND Platform through Onsite Observations in Uttar Pradesh

Reaching over 100,000 villages monthly, the CiVHSND is an essential healthcare platform in UP. This platform empowers communities by providing vital Reproductive, Maternal, Newborn, Child Health and Nutrition (RMNCH+N) services, with a focus on integrated, beneficiary-centric care. The Brief describes the methodology that was evolved by UP TSU along with GoUP to measure the availability, coverage, and quality of service delivery.

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Evidence Based Case Study of Digital D2C Platform

The Directorate of Medical Health launched the “Rakshak” D2C campaign, with UPTSU’s support, in 18 high-risk LF districts to combat Lymphatic Filariasis. The primary goal was to boost awareness, dispel myths, and improve medicine adherence in rural and urban areas. The note highlights how digital segmentation was used for personalized messaging. The campaign also focused on enhancing ASHA workers’ skills for better community mobilization and counselling efforts.

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PAHAL Issue 19

The 19th edition of the PAHAL newsletter provides updates on UP-TSU’s efforts in strengthening the SBA recruitment process through digitalisation, digitally enabling FLWs with eKavach implementation improving the health data quality across all 18 divisions of the state, and other key activities.

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Case Study Workbook for counselors 

Case Study Workbook for counselors was developed to support counselors and service providers to communicate effectively on family planning by using a case study approach to understand the various challenging situations faced by the community with respect to family planning.

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PAHAL ISSUE 18

This issue provides an update on UP-TSU’s efforts in integrating the Gender e-module in SBA training, a feedback workshop with Government of Uttar Pradesh health officials by medical college RRTC faculty members and support Monitoring and Evaluation division of National Health Mission on capacity building workshop for State/Division/District officials to improve data-driven decision-making.

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