Continuous quality improvement (CQI) refers to an iterative, data-driven process of empowering health care workers to improve health service delivery by identifying problems, implementing solutions and monitoring efforts to improve care, then measuring the effectiveness of these efforts. PATH envisions CQI as an approach that empowers individuals to drive change that improves the processes and systems in which they operate and live. This infographic visualizes PATH's approach to CQI.
A strong health system must be able to monitor quality of care and work to improve it to achieve better health outcomes. It can be further strengthened if the culture is such that health care workers, patients, and community members are empowered to take action towards improving their health services. However, the complexity of health care systems makes it difficult to identify whether health facilities are meeting targets, where they fall short, and how they can improve service delivery. Continuous quality improvement (CQI) refers to an iterative, data-driven process of empowering health care workers to improve health service delivery by identifying problems, implementing solutions and monitoring efforts to improve care, then measuring the effectiveness of these efforts. This brief details PATH's approach to CQI.
PATH, World Health Organization, United Nations Children's Fund, United Nations Population Fund, UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction
The Digital Implementation Investment Guide (DIIG) aims to help governments and technical partners plan a digital health implementation that focuses on one or more health programs to support national health system goals. The Guide is designed to walk users of the document step-by-step through planning, costing and implementing digital health interventions within a digital health enterprise. This consists of selecting digital health interventions that are aligned with identified health needs, appropriate to a specific country context and integrated with existing technologies and the broader digital architecture. Users of the Guide will learn from diverse experiences deploying digital health technologies over the past decade and will be guided through a systematic approach to designing, costing and implementing meaningful digital health interventions that are part of a digital health enterprise. The DIIG was developed by PATH, the World Health Organization, the United Nations Children's Fund, and the United Nations Population Fund, among other partners.
The BID Learning Network (BLN) invites you to watch a webinar called: “Addressing Immunization Challenges During the COVID-19 Pandemic in Nigeria.” This BLN webinar was hosted in partnership with Nigeria’s WHO Scholar Alumni. The webinar discusses the challenges faced by health workers and the ways in which they have been resolved.
The BID Learning Network invites you to watch a webinar called: “Triangulation for Improved Decision-Making in Immunization Programs.” Successful immunization programs use data to guide efficient management, tailor strategies, and make decisions to achieve program goals. Many data sources exist within and outside the Expanded Programme on Immunization (EPI), but the use of various data sources together is not optimal in many countries. In the absence of perfect data, public health practice has long acknowledged that combining many pieces of weaker evidence can form a strong basis for making more informed decisions. As such, triangulation which is the synthesis of two or more existing data sources, is used to address relevant questions for program planning and decision-making. This webinar will introduce the concept of data triangulation in immunization programs for decision-making and present examples of data triangulation use in the field.
Mott MacDonald conducted an independent evaluation of the BID Initiative with the aim of verifying and explaining results and identifying lessons learnt. This presentation is a synthesis of key findings from successive milestone evaluations, including a special study from Dodoma Region.
Mott MacDonald conducted an independent evaluation of the BID Initiative with the aim of verifying and explaining results and identifying lessons learnt. This report presents a synthesis of findings from successive milestone evaluations. Full reports for each of these evaluation exercises are included as annexes. This report also includes findings from a special study in Dodoma Region to assess the effectiveness of an alternative rollout strategy.
The BID Initiative has released midline and endline monitoring and evaluation (M&E) reports for Tanzania. This report presents the evaluation findings from Arusha Region and Tanga Region based on data that were collected between 2015 and 2018. In Arusha Region, data were collected at baseline (pre-intervention), midline (about four months post-intervention), and endline (12 months… >
This report presents the evaluation findings from data collected at baseline and midline of BID implementation in sampled health facilities from the first six implementation districts in Southern Province—Choma, Kazungula, Kalomo, Livingstone, Mazabuka, and Zimba. Data collection took place between November 2016 and March 2018. Read the full report.