Every Newborn Measurement Improvement for Newborn and Stillbirths Indicators (EN-MINI) Tools, Tanzania, 2021
The purpose of the Every Newborn-Measurement Improvement for Newborn and Stillbirth Indicators (EN-MINI) tools for Routine Health Information Systems (RHIS) is to enable countries to have the right data at the right time and at the right level of the healthcare system. The EN-MINI Tools are free and have ready-to-use digital data collection platforms and generate automated reports. The EN-MINI Tools are intended to identify gaps in newborn and stillbirth RHIS data availability, quality, and use. The tools are organized in three categories: (1) MAP newborn data availability, (2) assess USE of newborn data for decisions, and (3) identify how to IMPROVE newborn data quality. The USE and IMPROVE tools (Tools 1-6) are adapted from the MEASURE Evaluation Performance of Routine Information System Management (PRISM) series. The EN-MINI-PRISM Tools pilot study was conducted in October 2021 at all levels of health facilities in the Tanga Region of the United Republic of Tanzania providing inpatient newborn health services to maximize learning for possible future scale-up nationally and beyond. Two districts in Tanga Region, Pangani District Council and Tanga City Councils, were selected. (2021-11-30)
Keywords
Tanzania, newborn, stillbirth, routine health information systems (RHIS), facility dataItem Type | Dataset |
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Capture method | Questionnaire |
Date | 17 March 2025 |
Language(s) of written materials | English |
Creator(s) | Data For Impact (D4I), Ifakara Health Insititute (IHI), The London School Of Hygiene And Tropical Medicine (LSHTM) and B Icddr |
Participating Institutions | University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, Ifakara Health Institute, Ifakara, Tanzania, London School of Hygiene & Tropical Medicine, London, United Kingdom, International Centre for Diarrhoeal Disease Research, Bangladesh |
Date Deposited | 07 Jul 2025 15:43 |
Last Modified | 23 Jul 2025 12:39 |
Publisher | UNC Dataverse |