Evidence map›Paper›PMID 35915655›Full record

ArticleDrug, healthcare and patient safety2022

Knowledge and Perceptions of Nurse Practitioners on Adverse Events Following Immunization and Barriers to Reporting in the Central Region, Eritrea: A Cross-Sectional Study.

Nuru Abdu, Asmerom Mosazghi, Tedros Yehdego, Eyasu H Tesfamariam, Mulugeta Russom

Abstract read
In one paragraph

Article in Drug, healthcare and patient safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nuru AbduDepartment of Medical Sciences, Pharmacy Unit, Orotta College of Medicine and Health Sciences, Asmara, Eritrea.ORCID 0000-0003-2426-4337
Asmerom MosazghiDepartment of Medical Sciences, Pharmacy Unit, Orotta College of Medicine and Health Sciences, Asmara, Eritrea.
Tedros YehdegoExpanded Program on Immunization, Family and Community Health Division, Department of Public Health, Asmara, Eritrea.
Eyasu H TesfamariamBiostatistics and Epidemiology Unit, Department of Statistics, Mai-Nefhi College of Science, Mai-Nefhi, Eritrea.
Mulugeta RussomEritrean Pharmacovigilance Centre, National Medicines and Food Administration, Ministry of Health, Asmara, Eritrea.ORCID 0000-0003-1939-5842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Though vaccines are generally considered extremely safe and effective, they have been associated with some serious adverse events following immunization (AEFIs). AEFIs might be related to either the vaccine, immunization error, anxiety related to immunization, and/or coincidental events. If they are not reported and investigated in timely fashion, they can create rumors and confidence gaps. In the last few years, reporting AEFIs in the Central Region of Eritrea, compared to other regions, has been found to be very low, with the root cause for this variation unknown, making intervention strategies challenging. This study was conducted to assess nurse practitioners' knowledge and perceptions on AEFI surveillance and barriers to reporting in the region. Methods: An analytical cross-sectional study was conducted among all nurse practitioners who were directly or indirectly involved in immunization services working in all health facilities of the region. Data were collected between October 2019 and February 2020 using an interview-based questionnaire. Percentages and medians (IQR) were used as descriptive statistics, and Mann-Whitney and Kruskal-Wallis tests were used as inferential tools. Results: A total of 130 respondents with a median age of 40 (IQR 23) years were included in the study. The overall median (IQR) knowledge score of the respondents on AEFI surveillance was 87.50 (19) out of 100. Furthermore, median (IQR) comprehensive perception score was 70 (20) out of 100 (range 40-95). Shortage of motivation and not knowing how to report were identified as the main barriers to reporting AEFIs. Conclusion: Knowledge and perceptions of nurse practitioners in the Central Region on AEFI surveillance were generally encouraging. They should however need to be further trained on the basics of AEFI surveillance to bridge the identified barriers to reporting.

Indexed as

adverse event following immunizationbarriersEritreaknowledgenurse practitionersperception

Identifiers

PMID35915655
PMCPMC9338432

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.