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Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania
BACKGROUND: There is growing interest and investment in electronic immunization registries (EIRs) in low- and middle-income countries. EIRs provide ready access to patient- and aggregate-level service delivery data that can be used to improve patient care, identify spatiotemporal trends in vaccinati...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817222/ https://www.ncbi.nlm.nih.gov/pubmed/35060919 http://dx.doi.org/10.2196/32455 |
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author | Secor, Andrew M Mtenga, Hassan Richard, John Bulula, Ngwegwe Ferriss, Ellen Rathod, Mansi Ryman, Tove K Werner, Laurie Carnahan, Emily |
author_facet | Secor, Andrew M Mtenga, Hassan Richard, John Bulula, Ngwegwe Ferriss, Ellen Rathod, Mansi Ryman, Tove K Werner, Laurie Carnahan, Emily |
author_sort | Secor, Andrew M |
collection | PubMed |
description | BACKGROUND: There is growing interest and investment in electronic immunization registries (EIRs) in low- and middle-income countries. EIRs provide ready access to patient- and aggregate-level service delivery data that can be used to improve patient care, identify spatiotemporal trends in vaccination coverage and dropout, inform resource allocation and program operations, and target quality improvement measures. The Government of Tanzania introduced the Tanzania Immunization Registry (TImR) in 2017, and the system has since been rolled out in 3736 facilities in 15 regions. OBJECTIVE: The aims of this study are to conceptualize the additional ways in which EIRs can add value to immunization programs (beyond measuring vaccine coverage) and assess the potential value-add using EIR data from Tanzania as a case study. METHODS: This study comprised 2 sequential phases. First, a comprehensive list of ways EIRs can potentially add value to immunization programs was developed through stakeholder interviews. Second, the added value was evaluated using descriptive and regression analyses of TImR data for a prioritized subset of program needs. RESULTS: The analysis areas prioritized through stakeholder interviews were population movement, missed opportunities for vaccination (MOVs), continuum of care, and continuous quality improvement. The included TImR data comprised 958,870 visits for 559,542 patients from 2359 health facilities. Our analyses revealed that few patients sought care outside their assigned facility (44,733/810,568, 5.52% of applicable visits); however, this varied by region; facility urbanicity, type, ownership, patient volume, and duration of TImR system use; density of facilities in the immediate area; and patient age. Analyses further showed that MOVs were highest among children aged <12 months (215,576/831,018, 25.94% of visits included an MOV and were applicable visits); however, there were few significant differences based on other individual or facility characteristics. Nearly half (133,337/294,464, 45.28%) of the children aged 12 to 35 months were fully vaccinated or had received all doses except measles-containing vaccine–1 of the 14-dose under-12-month schedule (ie, through measles-containing vaccine–1), and facility and patient characteristics associated with dropout varied by vaccine. The continuous quality improvement analysis showed that most quality issues (eg, MOVs) were concentrated in <10% of facilities, indicating the potential for EIRs to target quality improvement efforts. CONCLUSIONS: EIRs have the potential to add value to immunization stakeholders at all levels of the health system. Individual-level electronic data can enable new analyses to understand service delivery or care-seeking patterns, potential risk factors for underimmunization, and where challenges occur. However, to achieve this potential, country programs need to leverage and strengthen the capacity to collect, analyze, interpret, and act on the data. As EIRs are introduced and scaled in low- and middle-income countries, implementers and researchers should continue to share real-world examples and build an evidence base for how EIRs can add value to immunization programs, particularly for innovative uses. |
format | Online Article Text |
id | pubmed-8817222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88172222022-02-08 Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania Secor, Andrew M Mtenga, Hassan Richard, John Bulula, Ngwegwe Ferriss, Ellen Rathod, Mansi Ryman, Tove K Werner, Laurie Carnahan, Emily JMIR Public Health Surveill Original Paper BACKGROUND: There is growing interest and investment in electronic immunization registries (EIRs) in low- and middle-income countries. EIRs provide ready access to patient- and aggregate-level service delivery data that can be used to improve patient care, identify spatiotemporal trends in vaccination coverage and dropout, inform resource allocation and program operations, and target quality improvement measures. The Government of Tanzania introduced the Tanzania Immunization Registry (TImR) in 2017, and the system has since been rolled out in 3736 facilities in 15 regions. OBJECTIVE: The aims of this study are to conceptualize the additional ways in which EIRs can add value to immunization programs (beyond measuring vaccine coverage) and assess the potential value-add using EIR data from Tanzania as a case study. METHODS: This study comprised 2 sequential phases. First, a comprehensive list of ways EIRs can potentially add value to immunization programs was developed through stakeholder interviews. Second, the added value was evaluated using descriptive and regression analyses of TImR data for a prioritized subset of program needs. RESULTS: The analysis areas prioritized through stakeholder interviews were population movement, missed opportunities for vaccination (MOVs), continuum of care, and continuous quality improvement. The included TImR data comprised 958,870 visits for 559,542 patients from 2359 health facilities. Our analyses revealed that few patients sought care outside their assigned facility (44,733/810,568, 5.52% of applicable visits); however, this varied by region; facility urbanicity, type, ownership, patient volume, and duration of TImR system use; density of facilities in the immediate area; and patient age. Analyses further showed that MOVs were highest among children aged <12 months (215,576/831,018, 25.94% of visits included an MOV and were applicable visits); however, there were few significant differences based on other individual or facility characteristics. Nearly half (133,337/294,464, 45.28%) of the children aged 12 to 35 months were fully vaccinated or had received all doses except measles-containing vaccine–1 of the 14-dose under-12-month schedule (ie, through measles-containing vaccine–1), and facility and patient characteristics associated with dropout varied by vaccine. The continuous quality improvement analysis showed that most quality issues (eg, MOVs) were concentrated in <10% of facilities, indicating the potential for EIRs to target quality improvement efforts. CONCLUSIONS: EIRs have the potential to add value to immunization stakeholders at all levels of the health system. Individual-level electronic data can enable new analyses to understand service delivery or care-seeking patterns, potential risk factors for underimmunization, and where challenges occur. However, to achieve this potential, country programs need to leverage and strengthen the capacity to collect, analyze, interpret, and act on the data. As EIRs are introduced and scaled in low- and middle-income countries, implementers and researchers should continue to share real-world examples and build an evidence base for how EIRs can add value to immunization programs, particularly for innovative uses. JMIR Publications 2022-01-21 /pmc/articles/PMC8817222/ /pubmed/35060919 http://dx.doi.org/10.2196/32455 Text en ©Andrew M Secor, Hassan Mtenga, John Richard, Ngwegwe Bulula, Ellen Ferriss, Mansi Rathod, Tove K Ryman, Laurie Werner, Emily Carnahan. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 21.01.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Secor, Andrew M Mtenga, Hassan Richard, John Bulula, Ngwegwe Ferriss, Ellen Rathod, Mansi Ryman, Tove K Werner, Laurie Carnahan, Emily Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title | Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title_full | Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title_fullStr | Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title_full_unstemmed | Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title_short | Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania |
title_sort | added value of electronic immunization registries in low- and middle-income countries: observational case study in tanzania |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817222/ https://www.ncbi.nlm.nih.gov/pubmed/35060919 http://dx.doi.org/10.2196/32455 |
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