Abstract of Dissertation

Keyword : UPHMIS: Monitoring and Evaluation; Healthcare Delivery System

Objective : This study aims to monitor and evaluate the efficiency of UPHMIS in the Gonda district of Uttar Pradesh. : Following objectives will be kept in mind during the study: • Monitor the data uploading status of four districts which are supported by TSU. • To assess the quality of data by Supportive Supervision on various components. • Evidence-based Decision Making.

Background : IHAT is the Lead implementer of the TSU and the technical and managerial support provided to the GoUP in all health-related thematic areas. About Technical Support Unit, The Government of Uttar Pradesh (GoUP) and Bill & Melinda Gates Foundation (BMGF) have signed a Memorandum of Cooperation. They do monitor and Evaluation of NHM through UPHMIS and Supportive Supervision developed by IHAT, which is a continuous assessment that aims at providing all stakeholders with early detailed information on the progress or delay of the ongoing, assessed activities. An evaluation is a systematic and objective examination concerning the relevance, effectiveness, efficiency, and impact of activities in the light of specified objectives. Here, Efficiency can be described as signifies a level of performance that describes using the least amount of input to achieve the highest amount of output. Moreover, some glimpse of UPHMIS, it is an integrated portal for all data sources like GOI portal, Monthly Progress Reporting (MPR) which helps the data available at a single place by which dashboards are created. With the above context, there was a need of A Study on “Efficiency of UPHMIS by Monitoring & Evaluation at Gonda District, Uttar Pradesh”.

Methodology : Study Design: Descriptive & Exploratory Setting: IHAT and at the proposed district in Uttar Pradesh Duration of study: 5th February to 5th May 2018 (3 months). Sample Size: The data was collected from a Staff Nurse, Pharmacist, Lab Technician, Block Program Manager, Data Entry Operator, Assistant Research Officer, Block Community Program Manager. The Sample size was 32. Sample Selection: 4 blocks (Ruipaideeh, Mankapur, Jhanjhari, and Paraspur) supported by TSU were selected on the basis of population, patient footfall, delivery load, services available. Sampling Technique: Purposive sampling technique. Data Analysis Procedure: Collected data were analyzed using MS Excel

Findings : Findings from interviews and direct observations suggest that the supportive supervision project was successful in improving data quality and data collection at the community-level, achieving a consistent use of tools to facilitate supervision, and providing feedback on staff performance. Participants attributed these successes to standardized data collection tools, ongoing supervision, and training. Emphasis on data use strategies, collaboration, and mentoring during supportive supervision visits emerged as aspects of the project that needed improvement.

Recommendations : Supportive supervision is a promising approach to improve routine data collection for M&E of community-based programs. It can increase staff capacity to collect, manage, and use data and improve leadership capacity to make decisions based on collected data. By enhancing a program’s capacity to synthesize and disseminate information, it also contributes to the larger goal of health systems strengthening.