Quality Indicators in End‐of‐Life Care for Children With Cancer in Low‐ and Middle‐Income Countries

BACKGROUND: Around 90% of children with cancer live in low- and middle-income countries (LMICs), with the majority dying of their disease. Despite the need for quality end-of-life (EoL) care in LMICs, access and integration remain limited. Quality indicators (QIs) can assess and provide standards for high-quality care. The aim of this study was to develop QIs for EoL care for children diagnosed with cancer in LMICs. METHODS: The QIs were identified and prioritized through a multi-phase process: (1) literature review identified potential QIs from existing guidelines, standards, and published studies; (2) modified Delphi approach engaged global experts to assess the importance and feasibility of QIs; and (3) prioritization conducted using a Discrete Choice Experiment (DCE) with experts and dot voting prioritization exercise with bereaved family members. RESULTS: From the literature review, 73 potential QIs were identified. Fifty-six global experts from 27 countries participated in the modified Delphi. Sixty-four indicators across seven domains were deemed important with 25 identified as both important and feasible. Forty-one global experts from 23 countries participated in the DCE prioritization and 12 bereaved family members from nine countries participated in the dot voting prioritization. While experts and family members prioritized some indicators similarly (i.e., symptom management), family members placed higher priority on QIs addressing communication and anticipatory guidance. CONCLUSION: This study describes a robust, context-specific process which identified QIs for pediatric EoL care in LMICs. Future efforts will pilot and refine the QIs to demonstrate feasibility, sustainability, and impact on care quality. PRECIS: This study assessed potential quality indicators (QIs) for pediatric end-of-life (EoL) care in low- and middle-income countries (LMICs) through a multi-phase process involving global experts and bereaved families. The findings provide a set of potential QIs to evaluate and improve EoL care for children with cancer in LMICs.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2026-10-30
DOI
https://doi.org/10.1002/cam4.72443
Primary Topic
Palliative and Oncologic Care
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quality Indicators in End‐of‐Life Care for Children With Cancer in Low‐ and Middle‐Income Countries

Justin Nathaniel Baker, Wendy Cristhyna Gomez Garcia, Emily E. Johnston, Kimberley A. Widger et al.
2 links
Cancer Medicine
Palliative and Oncologic Care
article

Quality Indicators in End‐of‐Life Care for Children With Cancer in Low‐ and Middle‐Income Countries

Justin Nathaniel Baker, Wendy Cristhyna Gomez Garcia, Emily E. Johnston, Kimberley A. Widger, Asya Agulnik, Verónica Dussel, Marta Salek, Narine Movsisyan, Paola M. Friedrich, Eve Namisango, Carlos Rodriguez Galindo, Julia D Downing, Ursula M. Sansom‐Daly, Michael J. McNeil, Ximena Garcia-Quintero, Krithika Shantanu Rao, Lori S. Wiener
article en

Abstract

BACKGROUND: Around 90% of children with cancer live in low- and middle-income countries (LMICs), with the majority dying of their disease. Despite the need for quality end-of-life (EoL) care in LMICs, access and integration remain limited. Quality indicators (QIs) can assess and provide standards for high-quality care. The aim of this study was to develop QIs for EoL care for children diagnosed with cancer in LMICs. METHODS: The QIs were identified and prioritized through a multi-phase process: (1) literature review identified potential QIs from existing guidelines, standards, and published studies; (2) modified Delphi approach engaged global experts to assess the importance and feasibility of QIs; and (3) prioritization conducted using a Discrete Choice Experiment (DCE) with experts and dot voting prioritization exercise with bereaved family members. RESULTS: From the literature review, 73 potential QIs were identified. Fifty-six global experts from 27 countries participated in the modified Delphi. Sixty-four indicators across seven domains were deemed important with 25 identified as both important and feasible. Forty-one global experts from 23 countries participated in the DCE prioritization and 12 bereaved family members from nine countries participated in the dot voting prioritization. While experts and family members prioritized some indicators similarly (i.e., symptom management), family members placed higher priority on QIs addressing communication and anticipatory guidance. CONCLUSION: This study describes a robust, context-specific process which identified QIs for pediatric EoL care in LMICs. Future efforts will pilot and refine the QIs to demonstrate feasibility, sustainability, and impact on care quality. PRECIS: This study assessed potential quality indicators (QIs) for pediatric end-of-life (EoL) care in low- and middle-income countries (LMICs) through a multi-phase process involving global experts and bereaved families. The findings provide a set of potential QIs to evaluate and improve EoL care for children with cancer in LMICs.

Cancer MedicineVol. 15(11)
National Institutes of Health (US), St. Jude Children's Research Hospital (US), Manipal Academy of Higher Education (IN), Palo Alto University (US), University of Toronto (CA), African Palliative Care Association (UG), UNSW Sydney (AU), University of Alabama at Birmingham (US), Massachusetts General Hospital (US), Prince of Wales Hospital (AU), Hospital Infantil Dr. Robert Reid Cabral (DO), Sydney Children's Hospital (AU), UAB Medicine (US), Yerevan State Medical University (AM), Kasturba Medical College, Manipal (IN), Stanford University (US)
Conquer Cancer Foundation, American Lebanese Syrian Associated Charities
Good health and well-being
Openalex Percentile: Top 10%
Palliative and Oncologic Care
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon