Nov 26, 2019
The costs of developing, deploying and maintaining electronic immunisation registries in Tanzania and Zambiahere.
Nov 12, 2019
The impact of an integrated electronic immunization registry and logistics management information system (EIR-eLMIS) on vaccine availability in three regions in Tanzania: A pre-post and time-series analysis
Since 2016, the Government of Tanzania has been implementing TImR, an integrated Electronic Immunization registry-logistics management information system (EIR-LMIS) that includes stock notifications. Working in close partnership with the Government of Tanzania, PATH conducted a study to estimate the impact of this intervention on vaccine availability. The findings of this study were published in Vaccine.
Oct 22, 2019
The BID Learning Network (BLN)/Gavi Data Quality and Use (DQU) Collaborative convened a meeting between July 24-26, 2019 in Lusaka, Zambia. It was attended by 25 participants, including immunization data managers from Burkina Faso, Cameroon, Liberia, Malawi, Mozambique, The Gambia, Uganda, and Zambia. This post includes the full meeting reports, including French and English translations.
Oct 3, 2019
Three waves of data use among health workers: The experience of the Better Immunization Data Initiative in Tanzania and Zambia
The governments of Tanzania and Zambia identified key data-related challenges affecting immunization service delivery including identifying children due for vaccines, time-consuming data entry processes, and inadequate resources. To address these challenges, since 2014, the countries have partnered with PATH’s Better Immunization Data (BID) Initiative to design and deploy a suite of data quality and use interventions. As both countries deployed the interventions, three distinct changes in data use emerged organically. This article provides a detailed summary of these three phases or waves. For the full article, visit Global Health: Science and Practice.
Aug 27, 2019
The BID Learning Network (BLN)/Gavi Data Quality and Use (DQU) Collaborative convened a meeting between July 24-26, 2019 in Lusaka, Zambia. It was attended by 25 participants, including immunization data managers from Burkina Faso, Cameroon, Liberia, Malawi, Mozambique, The Gambia, Uganda, and Zambia. This post includes presentations from the meeting.
Aug 23, 2019
The BID Learning Network invites you to view a webinar presentation titled “Cultivating a Data Use Culture: Lessons Learned from the BID Initiative.” Global and national stakeholders have acknowledged that routine immunization programs face significant challenges related to the collection, availability, and use of data for planning, management, and improvement of program performance. To address these critical data challenges, the BID Initiative worked with the governments of Tanzania and Zambia, to introduce a suite of interventions at facility and district levels.
Jun 10, 2019
Led by PATH, in partnership with the governments of Tanzania and Zambia, the BID Initiative is grounded in the belief that better data, plus better decisions, will lead to better health outcomes. BID was designed to create an environment in which reliable, easily accessed, and actionable data can be used to improve health outcomes. This factsheet summarizes the BID Regional portfolio of work.
Jun 7, 2019
The BID Learning Network invites you to view a webinar presentation on The Immunization Data: Evidence for Action (IDEA) Review. IDEA is a global synthesis of existing evidence aimed at increasing the use of high-quality data to improve immunization coverage. While advances in information technology have led to continuous increases in the amount of health data available, data remains an under-utilized resource in the design and implementation of immunization programs throughout the world. The IDEA Review identifies five proven strategies to improve data use and outlines how funders, policymakers, and program implementers can incorporate these best practices to improve the efficacy of regional and national immunization programs.
May 6, 2019
The BID Learning Network invites you to view a webinar presentation on The Data Use Partnership. The use of reliable information from a well-designed health information system is critical for: decision-making during disease outbreaks; enhancing efficiency; fostering innovation; and ultimately ensuring improved health outcomes. To this effect, the Government of the United Republic of Tanzania, with the support of PATH, has been implementing the Data Use Partnership (DUP) under the Ministry of Health’s transformative Digital Health Investment Road Map in health data systems and use. This is intended to close key gaps so that Tanzania can make informed decisions within public health to strengthen health outcomes.
Feb 26, 2019
Redefining vaccination coverage and timeliness measures using electronic immunization registry data in low- and middle-income countries
Vaccine coverage is routinely used as a performance indicator for immunization programs both at local and global levels. For many national immunization programs, there are challenges with accurately estimating vaccination coverage based on available data sources, however an increasing number of low- and middle-income countries (LMICs) have begun implementing electronic immunization registries to replace health facilities’ paper-based tools and aggregate reporting systems. These systems allow for more efficient capture and use of routinely reported individual-level data that can be used to calculate dose-specific and cohort vaccination coverage, replacing the commonly used aggregate routine health information system data. With these individual-level data immunization programs have the opportunity to redefine performance measures to enhance programmatic decision-making at all levels of the health system. In this commentary, we discuss how measures for assessing vaccination status and program performance can be redefined and recalculated using these data when generated at the health facility level and the implications of the use and availability of electronic individual-level data.
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