Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
general
Protocol for the development of a core outcome set for neonatal sepsis (NESCOS)
PLoS ONE, Volume 18, No. 12 December, Article e0295325, Year 2023
Notification
URL copied to clipboard!
Description
Neonatal sepsis is a serious public health problem; however, there is substantial heterogeneity in the outcomes measured and reported in research evaluating the effectiveness of the treatments. Therefore, we aim to develop a Core Outcome Set (COS) for studies evaluating the effectiveness of treatments for neonatal sepsis. Since a systematic review of key outcomes from randomised trials of therapeutic interventions in neonatal sepsis was published recently, we will complement this with a qualitative systematic review of the key outcomes of neonatal sepsis identified by parents, other family members, parent representatives, healthcare providers, policymakers, and researchers. We will interpret the outcomes of both studies using a previously established framework. Stakeholders across three different groups i.e., (1) researchers, (2) healthcare providers, and (3) patients’ parents/family members and parent representatives will rate the importance of the outcomes in an online Real-Time Delphi Survey. Afterwards, consensus meetings will be held to agree on the final COS through online discussions with key stakeholders. This COS is expected to minimize outcome heterogeneity in measurements and publications, improve comparability and synthesis, and decrease research waste. © 2023 Taneri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Authors & Co-Authors
Kirkham, Jamie John
United Kingdom, Manchester
Health Innovation Manchester
Molloy, Eleanor Joan
Ireland, Dublin
Trinity College Dublin
Biesty, Linda M.
Ireland, Galway
University of Galway
Wynn, James Lawrence
United States, Gainesville
University of Florida
Stoll, Barbara J.
United States, Atlanta
Emory University School of Medicine
United States, Houston
University of Texas Health Science Center at Houston
Kissoon, Niranjan “Tex”
Canada, Vancouver
The University of British Columbia
Kawaza, Kondwani M.
Malawi, Blantyre
Kamuzu University of Health Sciences
Daly, Mandy C.
Unknown Affiliation
Bonnard, Lívia Nagy
Unknown Affiliation
Ohaja, Magdalena
Ireland, Galway
University of Galway
Mugabe, Kenneth Tulyamuhika
Uganda, Tororo
Busitema University
Quirke, Fiona A.
Ireland, Galway
University of Galway
Ireland, Limerick
University of Limerick
Devane, Declan
Ireland, Galway
University of Galway
Statistics
Authors: 13
Affiliations: 13
Identifiers
Doi:
10.1371/journal.pone.0295325
ISSN:
19326203
Research Areas
Genetics And Genomics
Health System And Policy
Maternal And Child Health
Study Design
Cross Sectional Study
Study Approach
Qualitative
Quantitative
Systematic review