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.
A theory of change (TOC) defines the activities, outputs, outcomes, evidence and assumptions on the pathway to achieve a long-term goal. For the BID Initiative, this pathway is based on the principal hypothesis that better information plus better decisions will lead to the long-term goal of better health outcomes. The TOC describes in detail the types of activities the BID Initiative is conducting to bring about the outputs and outcomes depicted in the pathway.
The BID Initiative has four primary outcomes:
Improved overall immunization data quality at scale in two demonstration countries by 2017
Increased use of immunization data for decision making across all levels of the health system at scale in two demonstration countries by 2018.
Achieved implementation of relevant components of the BID solution at scale in two demonstration countries, and commitment toward implementation by 5-8 other country governments within Sub-Saharan Africa by 2018.
Significant additional resources are committed from donors, multilateral agencies, implementation organizations, or other innovative sources for financial and technical support to countries adopting and improving the BID solution by 2018.
There are a broad range of activities supporting the achievement of these outcomes, with the activities for primary outcomes 1 and 2 focused at the country level in Tanzania and Zambia (our two initial demonstration countries) and the activities for primary outcomes 3 and 4 focused mainly at the regional and global levels to expand and scale with additional resources. For this reason, we developed two separate but related TOCs – one for outcomes 1 and 2 and one for outcomes 3 and 4. In addition, there is a supporting document that summarizes a thorough review of the literature supporting the design of the BID Initiative activities and TOC related to outcomes 3 and 4.
The December Discussion Meeting held in Arusha, Tanzania is designed to be hands on and highly participatory events that become a rich learning experience for all attendees. In this report and the presentations, we share some of the discussions around strategies and approaches to improving data, quality, and use among participating countries and include highlights around the progress made in BID demonstration countries (Tanzania and Zambia), the successes and challenges they have had, and the way forward.
A selection of presentations from the meeting are available below.
Advances in information and communications technology (ICT) have increased exponentially the amount of data that health information systems can collect, synthesize, and report. Expansion of these technologies promises to revolutionize the global health sector’s response to most pressing health issues. Even though health program managers are increasingly expected to use and invest in such strategies, many lack information about how the strategies work and how they can benefit the management of health programs. To address this problem, MEASURE Evaluation developed a glossary of eHealth strategies most likely to enhance data access, synthesis, and communication for health program managers at all levels of a health system who are eHealth novices. The complete set consists of fact sheets on: dashboards, hackathons, open data, big data & data science, geospatial analysis, integration & interoperability, and crowdsourcing.