Palgrave Handbook of Global Health Data Methods for Policy and Practice (eBook)

Sarah Macfarlane is Emerita Professor in the Department of Epidemiology and Biostatistics and the Institute of Global Health Sciences at the University of California San Francisco in the United States. She has collaborated with individuals and institutions worldwide to build health information, surveillance and statistical systems. Carla AbouZahr is a senior technical adviser to the Bloomberg Data for Health Initiative at the University of Melbourne, Australia. Her career in global health includes over 20 years with the World Health Organization working with country and international partners to strengthen health information systems.

Preface.- Foreword.- Part I Global Health Data for Policy and Practice.- 1 National Health Systems for Generating and Managing Data for Health.- 2 Indicators for Monitoring Health Targets.- 3 Challenges in Shaping Health Policy with Data.- 4 Challenges in Shaping Health Programmes with Data.- 5 Measure, Inform, Build: Enabling Data-Driven Government Policymaking.- Part II Major Sources of Global Health Data.- 6 The Population Census: Counting People because They Count.- 7 Civil Registration and Vital Statistics: A Unique Source of Data for Policy.- 8 National Household Surveys: Collecting Data Where People Live.- 9 Health Management Information Systems: Backbone of the Health System.- 10 Public Health Surveillance: A Vital Alert and Response Function.- Part III Specialised Systems for Global Health Data.- 11 Tracking Health Resources Using National Health Accounts.- 12 Data to Monitor and Manage the Health Workforce.- 13 Mortality Data in Service of Conflict-Affected Populations.- 14 Climate Matters in Health Decision-Making.- 15 Advancing Health Policy Using a Geographic Approach.- Part IV Methods for Collecting and Analyzing Global Health Data.- 16 Seeking Insight: Using Qualitative Data for Policymaking.- 17 Describing Dynamic Populations: Demographic Data Methods.- 18 Epidemiology for Policy and Programme Management.- 19 Health Economics: Tools to Measure and Maximize Programme Impact.- 20 Tracking Health Outcomes in Space and Time: Spatial and Spatio-Temporal Methods.- 21 Global Health Estimates: Modelling and Predicting Health Outcomes.- Part V Principles and Policies for Managing Global Health Data.- 22 A Matter of Trust: Data Quality and Information Integrity.- 23 Opening Data for Global Health.- 24 Principles and Ethics of Collecting and Managing Health Data.- 25 Global Health Data: An Unfinished Agenda.- Index.