Our Work

Theresa Finn, MEASURE Evaluation

MEASURE Evaluation's work follows a conceptual framework that emphasizes a cycle of generating demand for information, improving data collection, making data more available, and facilitating the use of information to inform decisions. This information-use cycle, nested within a larger context of capacity building, coordination, and collaboration, aims to improve health systems and, ultimately, health outcomes.

Capacity Building

Enabling M&E organizations and individuals to generate relevant quality data, analyze it, and use data to improve program planning and decision making, thus improving health systems.

Data Demand and Use

Applying proven best practices and appropriate tools to increase demand for health system data and ensure that the information is used in an evidence-based decision-making process.

Evaluation

Guiding decisions about which programs are most effective and how to allocate scarce resources; providing information that can help to refine program operations and make programs more effective.

Gender

Illuminating gender norms and inequalities and their influence on health-seeking behavior.

Geographic Information Systems

Geographic cognizance and tools such as GIS can lead to better data and gives users the power to produce data products to more effectively understand and communicate the story the data is able to tell.

Health Information Systems

Producing timely and quality information about what is happening in health sectors.

Health Program Areas

MEASURE Evaluation works to improve programs in many areas including avian influenza, family planning and reproductive health, HIV/AIDS, malaria, orphans and vulnerable children, poverty and equity, and tuberculosis.

Knowledge Management

Creating on-demand access to knowledge, so that every situation may be addressed with the sum of everything learned from a similar situation.

Organization Development

Building strong, dynamic, and sustainable leadership and organizations with customized organization development assistance.

Secondary Analysis of Data

Increasing the evidence-base on program impact and evaluating the strengths and weaknesses of recent evaluation methodological developments.