Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/9325
Title: Barriers to and facilitators of effective management of fever episodes in hospitalised Kenyan children with cancer: protocol for convergent mixed methods study
Authors: Nessle, Charles Nathaniel
Njuguna, Festus
Dettinger, Julia
Koima, Raphael
Nyamusi, Lenah
Kisembe, Evelynn
Kinja, Sarah
Ndung’u, Mercy
Njenga, Dennis
Langat, Sandra
Olbara, Gilbert
Moyer, Cheryl
Vik, Terry
Keywords: Febrile neutropenia
Oncological emergency
Children with cancer
Issue Date: 27-Sep-2023
Publisher: BMJ
Abstract: Introduction Febrile neutropenia is an oncological emergency in children with cancer, associated with serious infections and complications. In low-resourced settings, death from infections in children with cancer is 20 times higher than in high-resourced treatment settings, thought to be related to delays in antibiotic administration and management. The barriers to effective management of fever episodes in children with cancer have not previously been described. This convergent mixed-methods study will provide the evidence to develop fever treatment guidelines and to inform their effective implementation in children with cancer at Moi Teaching and Referral Hospital (MTRH), a level 6 referral hospital in western Kenya. Methods and analysis Prospective data collection of paediatric patients with cancer with new fever episodes admitted to MTRH will be performed during routine treatment. Clinical variables will be collected from 50 fever episodes, including cancer diagnosis and infectious characteristics of the fever episode, and elapsed time from fever onset to various milestones in the management workflow. Semistructured qualitative interviews with healthcare providers (estimated 20 to reach saturation) will explore the barriers to and facilitators of appropriate management of fever episodes in children with cancer. The interview guide was informed by a theoretical framework and Consolidated Framework for Implementation Research. A mixed-methods analysis use of joint display tables and process mapping will link and integrate the two types of data with meta-inferences.
URI: http://dx.doi.org/10.1136/bmjopen-2023-078124
http://ir.mu.ac.ke:8080/jspui/handle/123456789/9325
Appears in Collections:School of Medicine

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.