{"id":13252,"date":"2024-07-17T23:39:05","date_gmt":"2024-07-17T15:39:05","guid":{"rendered":"https:\/\/vaxlab.dukekunshan.edu.cn\/?post_type=project-news&p=13252"},"modified":"2024-08-22T09:51:21","modified_gmt":"2024-08-22T01:51:21","slug":"identify-zero-dose-and-under-immunized-children","status":"publish","type":"project-news","link":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/project-news\/identify-zero-dose-and-under-immunized-children\/","title":{"rendered":"Identify zero-dose and under-immunized children"},"content":{"rendered":"\n

The document \u201cTriangulation for Improved Decision-Making in Immunization Programmes\u201d is a comprehensive guide developed by the World Health Organization<\/em>, UNICEF<\/em>, and the U.S. Centers for Disease Control and Prevention<\/em>. The guide underscores the importance of triangulation, which involves synthesizing \u201ctwo or more existing data sources to address relevant questions for programme planning and decision-making.\u201d Triangulation aims to provide a more comprehensive understanding of program issues and facilitate informed decision-making processes by combining various data sets and interpreting them within their contexts. <\/p>\n\n\n\n

The guide outlines the objectives of using triangulation in \u201cimmunization and vaccine preventable disease (VPD) surveillance programmes\u201d, emphasizing the need to \u201caddress key questions to guide management, tailor strategies, and make decisions to achieve goals.\u201d The document targets immunization and VPD surveillance managers at national and subnational levels, offering practical examples of how triangulation can be used to develop questions, identify data sources, and interpret different data together, considering underlying context and limitations.<\/p>\n\n\n\n

    \n
  1. Bangladesh<\/li>\n<\/ol>\n\n\n\n

    The Directorate General of Health Services (DGHS) led a pilot project in 2019 focusing on \u201c(1) measles immunity gaps, (2) program performance, and (3) target-population estimates.\u201d The project collaborated with various organizations and identified underserved communities for vaccination interventions. A rapid community assessment identified zero-dose, under-immunized, and missed-vaccination communities in rural and urban areas. <\/p>\n\n\n\n

      \n
    1. Rwanda<\/li>\n<\/ol>\n\n\n\n

      A real-time Regional Health Information System (DHIS2) data dashboard was developed in 2022 by the Rwanda Biomedical Center (RBC). This system integrates various health data packages and was officially launched in July 2023, extending to 13 districts in October. The dashboard includes \u201c14 immunity-gap and 11 program-performance indicators\u201d focusing on vaccine eligibility, vaccination dropout rates, and under-immunized children.<\/p>\n\n\n\n

        \n
      1. Nigeria<\/li>\n<\/ol>\n\n\n\n

        Nigeria\u2019s National Primary Health Care Development Agency (NPHCDA) addressed data fragmentation by developing the Immunization Programming Management Data Dashboard (IPMD), merging the DHIS2 and SORMAS systems. The dashboard was configured for four VPDs, visualizing and analyzing \u201cmeasles, yellow fever, meningitis, and diphtheria\u201d vaccinations and pinpointing immunization gaps. Currently implemented in two states, the dashboard aids decision-making through monthly dashboard reviews by subnational RI and surveillance staff.<\/p>\n\n\n\n

        Based on \u201cevidence from a landscape review; experiences of triangulation use in countries\u201d, the guide builds upon existing practices in data analysis to elevate the quality of decision-making processes within immunization programs. It highlights the importance of capacity building and adaptation to local contexts for successful triangulation implementation. We also reference other resources for further reading. Policymakers and public health workers could incorporate triangulation guidance into existing frameworks to support program improvements in the future.<\/p>\n\n\n\n

        Content Editor: Linjing(Grace) Zhang<\/p>\n\n\n\n

        Page Editor: Ziqi Liu<\/p>\n\n\n\n

        \n\n\n\n

        Relevant Links\/Information resources<\/strong><\/h2>\n\n\n\n

        Rachlin A, Adegoke OJ, Bohara R, Rwagasore E, Sibomana H, Kabeja A, Itanga I, Rwunganira S, Mafende Mario B, Rosette NM, et al. Building Data Triangulation Capacity for Routine Immunization and Vaccine Preventable Disease Surveillance Programs to Identify Immunization Coverage Inequities. Vaccines. 2024; 12(6):646. <\/p>\n\n\n\n

        https:\/\/www.mdpi.com\/2076-393X\/12\/6\/646<\/a><\/p>\n\n\n\n

        Scobie, H. M., Edelstein, M., Nicol, E., Morice, A., Rahimi, N., MacDonald, N. E., \u2026 & Jawad, J. (2020). Improving the quality and use of immunization and surveillance data: Summary report of the Working Group of the Strategic Advisory Group of Experts on Immunization. Vaccine, 38(46), 7183-7197. World Health Organization, UNICEF, & U.S. Centers for Disease Control and Prevention. (2020). Triangulation for improved decision-making in immunization programmes. <\/p>\n\n\n\n

        https:\/\/www.technet-21.org\/media\/com_resources\/trl\/6616\/multi_upload\/0_Triangulation_CoverOrientation_DRAFT_27Jul <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

        The document \u201cTriangulation for Improved Decision-Making in Immunization Programmes\u201d is a comprehensive guide developed by the World Health Organization, UNICEF, and the U.S. Centers for Disease Control and Prevention. The guide underscores the importance of triangulation, which involves synthesizing \u201ctwo or more existing data sources to address relevant questions for programme planning and decision-making.\u201d Triangulation […]<\/p>\n","protected":false},"featured_media":12951,"menu_order":0,"template":"","meta":{"type_label":"none_selected"},"news-category":[73],"class_list":["post-13252","project-news","type-project-news","status-publish","has-post-thumbnail","hentry","news-category-research-en"],"_links":{"self":[{"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/project-news\/13252","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/project-news"}],"about":[{"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/types\/project-news"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/media\/12951"}],"wp:attachment":[{"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/media?parent=13252"}],"wp:term":[{"taxonomy":"news-category","embeddable":true,"href":"https:\/\/vaxlab.dukekunshan.edu.cn\/en\/wp-json\/wp\/v2\/news-category?post=13252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}