1 research outputs found
The development, testing, and preliminary feasibility of an adaptable pediatric oncology nutrition algorithm for low‑middle income countries
PURPOSE: Despite advances in the field of pediatric oncology, which have contributed to an overall increase in event‑free survival, high rates of
malnutrition in low‑middle income countries (LMICs) is still a major concern. This paper aims to describe the multifaceted development process
of a nutrition intervention algorithm for pediatric oncology in LMIC. METHODS: The development of evidence‑based algorithm took place over
seven developmental phases, utilizing an interdisciplinary process with the clinical review. Phase 1: Collaboration with the International Paediatric
Oncology Nutrition Group. Phase 2: Review of peer‑reviewed literature for evidence‑based algorithm. Phase 3: Draft algorithm development.
Phase 4: Draft algorithm presented at international meetings for stakeholder feedback. Phase 5: Consultation with LMIC dieticians to identify
additional needs and feasibility of the algorithm in resource‑poor settings. Phase 6: Review of the final draft algorithm by an expert panel. Phase 7:
Pilot and Preliminary Feasibility. RESULTS: The nutrition algorithm was piloted in three LMIC countries (Brazil, South Africa and India). Overall the
LMIC nutrition intervention algorithm was considered feasible for use with a “yes” response to the question “was the algorithm useful to know what
nutrition to give the child and when” 90% of the time, rendering to the tool feasible. However, the testing process did identify several limitations that
need to be considered in future versions. CONCLUSIONS: This comprehensive collaborative process with interdisciplinary health professionals has
successfully developed a pediatric oncology nutrition intervention algorithm for LMIC. Further feasibility testing and a longitudinal study are required