Data Quality Assessment Issues and Methods for Secondary Data Use

LEARNING OBJECTIVES

  1. Identify data quality challenges across the data lifecycle from initial collection to analytics
  2. Describe key dimensions for health data quality assessment prior to use in pragmatic research
  3. Identify resources needed for data quality assessment

PRESENTER(S)

Measuring Implementation Outcomes

LEARNING OBJECTIVES

  1. Delineate key implementation outcomes
  2. Summarize the state of the science for measurement of implementation outcomes
  3. Articulate critical parameters of implementation outcome measurement

PRESENTER(S)

Assessing and Enhancing Reach and Representativeness

LEARNING OBJECTIVES

  1. Describe concepts of reach and representativeness and how to operationalize them
  2. Summarize challenges to assessment of reach and representativeness; and how to overcome these challenges
  3. Identify how reach and representativeness relate to health equity
  4. Examine potential trade-offs between reach and effectiveness

PRESENTER(S)