How can the use of data within the immunisation programme be increased in order to improve data quality and ensure greater accountability in the health system? A protocol for implementation science study.
Background: Immunisation remains one of the most important and cost-effective interventions to reduce vaccine-preventable child morbidity, disability and mortality. Health programmes like the Expanded Program of Immunization rely on complex decision-making and strong local level evidence is importan...
| Publicado en: | Health Research Policy & Systems Vol. 16; no. 1 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
5/3/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129419302&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129419302 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14784505 1CPP jtl: Health Research Policy & Systems issn: 14784505 maglogo: N pubinfo: dt: 5/3/2018 vid: 16 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 129419302 129419302 NLM29724235 10.1186/s12961-018-0312-2 NLM29724235 129419302 ppct: 1 formats: tig: atl: How can the use of data within the immunisation programme be increased in order to improve data quality and ensure greater accountability in the health system? A protocol for implementation science study. aug: au: Tilahun, Binyam Teklu, Alemayehu Mancuso, Arielle Abebaw, Zeleke Dessie, Kassahun Zegeye, Desalegn affil: Department of Pediatrics, School of Medicine University of Gondar Gondar Ethiopia sug: subj: Immunization Programs Social Responsibility Professional Practice, Evidence-Based Decision Making Immunization Ethiopia Government Programs Health Care Delivery Qualitative Studies Study Design Developing Countries Child Scales Child: 6-12 years ab: Background: Immunisation remains one of the most important and cost-effective interventions to reduce vaccine-preventable child morbidity, disability and mortality. Health programmes like the Expanded Program of Immunization rely on complex decision-making and strong local level evidence is important to effectively and efficiently utilise limited resources. Lack of data use for decision-making at each level of the health system remains the main challenge in most developing countries. While there is much evidence on data quality and how to improve it, there is a lack of sufficient evidence on why the use of data for decision-making at each level of the health system is low. Herein, we describe a comprehensive implementation science study that will be conducted to identify organisational, technical and individual level factors affecting local data use at each level of the Ethiopian health system.Methods: We will apply a mixed methods approach using key informant interviews and document reviews. The qualitative data will be gathered through key informant interviews using a semi-structured guide with open- and closed-ended questions with four categories of respondents, namely decision-makers, data producers, data users and community representatives at the federal, regional, zonal, woreda and community levels of the health system. The document review will be conducted on selected reports and feedback documented at different levels of the health system. Data will be collected from July 2017 to March 2018. Descriptive statistics will be analysed for the quantitative study using SPSS version 20 software and thematic content analysis will be performed for the qualitative part using NVivo software.Discussion: Appropriate and timely use of health and health-related information for decision-making is an essential element in the process of transforming the health sector. The findings of the study will inform stakeholders at different levels on the institutionalisation of evidence-based practice in immunisation programmes. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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