Evidence map›Paper›PMID 37918936›Full record

ArticleBMJ open2023

Barriers to and facilitators of effective management of fever episodes in hospitalised Kenyan children with cancer: protocol for convergent mixed methods study.

Charles Nathaniel Nessle, Festus Njuguna, Julia Dettinger, Raphael Koima, Lenah Nyamusi, Evelynn Kisembe, Sarah Kinja, Mercy Ndung'u, Dennis Njenga, Sandra Langat and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Charles Nathaniel Nessle *Department of Pediatrics, Division of Hematology-Oncology, University of Michigan, Ann Arbor, Michigan, USA cnessle@med.umich.edu.ORCID 0000-0001-7119-1658
Festus Njuguna *Department of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Julia DettingerDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Raphael KoimaDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Lenah NyamusiDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Evelynn KisembeSchool of Arts and Social Sciences, Moi University, Eldoret, Kenya.
Sarah KinjaDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Mercy Ndung'uDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Dennis NjengaDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Sandra LangatDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Gilbert OlbaraDepartment of Child Health and Pediatrics, Moi Teaching and Referral Hospital, Eldoret, Kenya.
Cheryl MoyerMedical School, Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Terry VikDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Moi University · KEUniversity of Michigan · USUniversity of Washington · US

Funding

NPGH LEADERs YR12: OBSSR (Greenberg, Ngwafong Mukere) & NIBIB (Lee)D43TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI Dibyadyuti Datta, Chandy C. John · 2017 to 2026
$15.2M
FIC NIH HHS D43 TW009345
6 · The paper itself

Abstract

introductionFebrile 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. ETHICS AND DISSEMINATION: Institutional review board approval was obtained from the MTRH (0004273) and the University of Michigan (HUM0225674), and the study was registered with National Commission for Science Technology and Innovation (P/23/22885). Written consent will be obtained from all participants. Results will be formally shared with local and national policy leadership and local end users, presented at relevant national academic conferences and submitted for publication in a peer-reviewed journal.

Indexed as

NeoplasmsChildFeverHealth PersonnelHospitalsHumansKenyaClinical Decision-MakingINFECTIOUS DISEASESONCOLOGYPAEDIATRICSProtocols & guidelinesQUALITATIVE RESEARCH

Identifiers

PMID37918936
PMCPMC10626801
OpenAlexW4388275332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.