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.
One of the most challenging aspects of knowledge management is the harvesting, analysis, and synthesis of information in a transferable form. The USAID Health Care Improvement Project has risen to this challenge by examining current practices to harvest, analyze and synthesize information, and developing a set of tools to be used by QI teams and coaches to facilitate this knowledge management process, based on best practices and innovating to address current gaps. The resulting templates/tools form the project's "Standard Evaluation System (SES)". Th
La dernière décennie a vu une adaptation accrue des méthodes AQ établies en vue d’appliquer les normes basées sur l’évidence pour un changement rapide et un impact à grande échelle. Comme il sera abordé dans la section suivante, l’approche du Collaboratif d’amélioration intègre plusieurs des éléments de base de la programmation traditionnelle des services de santé (normes, formation, aide-mémoire, équipement et matériel) aux élémen
This guide assists communities, governments, and civil society organizations to apply Quality Improvement (QI) methods to services for orphans and vulnerable children (OVC). The guide outlines the key steps that organizations can follow to develop evidence-based standards for delivery of OVC core services and improve the quality and impact of OVC programs.
This report describes the Improvement Collaborative approach as adapted by the USAID-funded Quality Assurance Project and Health Care Improvement Project. An improvement collaborative is a quality improvement approach that brings together a large number of teams to work and learn together to rapidly achieve significant improvements in a specific area of care, with intention of spreading these methods to other sites. The Institute for Healthcare Improvement (IHI) designed the approach as a strategy to help health care organizations in the U.S.