231011 : Efficient Methods for International Program Monitoring and Evaluation: Annealing Estimators and Extensions of LQAS

Monday, November 8, 2010 : 12:30 PM - 12:50 PM

Bethany Hedt-Gauthier, SM, PhD , Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA
Resource constrained countries must maximize positive health outcomes for minimal cost via national health programs. Monitoring and evaluation (M&E) of the implementation of these programs, identifying priority areas and adjusting programs accordingly, is essential for overall success. This talk describes recent work in statistical methods that provide critical M&E data with minimal depletion of human, time, or financial resources. Annealing estimators supplement routinely collected data with small population surveys to obtain unbiased estimates of disease prevalence and program coverage with better precision than population survey data alone. Lot Quality Assurance Sampling (LQAS) has precedence in supporting international M&E, and recent extensions increase the efficiency of data collection and use. Large Country-LQAS combines multistage cluster sampling and supports both local and national program management. The novel methods will be illustrated with applications in HIV and malaria program M&E in sub-Saharan Africa.

Learning Areas:
Administration, management, leadership
Biostatistics, economics
Chronic disease management and prevention
Conduct evaluation related to programs, research, and other areas of practice
Implementation of health education strategies, interventions and programs
Planning of health education strategies, interventions, and programs

Learning Objectives:
Describe recent work in statistical methods that provide critical M&E data with minimal depletion of human, time, or financial resources. Discuss the use of Annealing estimators to supplement routinely collected data with small population surveys to obtain unbiased estimates of disease prevalence and program coverage with better precision than population survey data alone. Explain applications of methods to monitoring and evealuation of HIV and malaria programs in sub-Saharan Africa.

Keywords: International Public Health, Statistics

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: of my years as a public health teacher, researcher and professional.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.