Data utilization and analytical skills among NLEP managers. National Leprosy Elimination Programme

Area of Science:

• Public Health
• Health Management
• Epidemiology

Background:

• Effective management of the National Leprosy Elimination Programme (NLEP) in India relies on data-driven decision-making.
• Mid-level managers are critical in translating routine health data into actionable insights for program improvement.

Purpose of the Study:

• To assess the data analysis and interpretation skills of mid-level managers within the NLEP in India.
• To identify specific areas of weakness in quantitative and graphical data handling among these managers.

Main Methods:

• A questionnaire assessing skills in calculating rates, ratios, proportions, percentages, and interpreting graphs was administered.
• Sixty-two NLEP managers, including 25 District Leprosy Officers and 37 Medical Officers, participated in the study.

Main Results:

• A significant majority (59%) of managers scored 'poor' or 'very poor' in data analysis and interpretation.
• District Leprosy Officers generally performed better than Medical Officers, though both groups showed substantial skill gaps.
• Only 5% of all managers achieved a 'very good' score, indicating a widespread deficit.

Conclusions:

• There is a critical need to enhance the data management and analytical capabilities of NLEP mid-level managers in India.
• Targeted training programs focusing on quantitative skills and data visualization are essential for strengthening leprosy program oversight and effectiveness.