Guidance for Analyzing Quality Improvement Data Using Time Series Charts

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This short paper provides guidance on how to analyze and interpret time series charts.  It describes the essential features of properly drawn and annotated time series charts, including calculation of the median when you have a minimum of 10 data points.  Rules for detecting trends and shifts in time series charts are explained, which allow for greater statistical rigor in interpreting results.  Actual time series charts from work supported by the USAID Health Care Improvement Project illustrate each concept discussed.

Resource Type 
Publications
Methodology Reports
Regions/ Countries 
Language 
English