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Strengthening Oncology Data Systems for Equitable Care in Asia-Pacific: Current Practices and Future Directions
V Batumalai1, M Zhou2, M Chilkuri3
1The George Institute for Global Health, UNSW Sydney, NSW, Australia; The Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, UNSW Sydney, NSW, Australia; School of Clinical Medicine, UNSW Sydney, NSW, Australia.
Aims:
Effective oncology data management through oncology information systems (OIS) is essential for high-quality cancer care, yet adoption across the Asia-Pacific (APAC) region varies widely. This study benchmarked OIS utilisation, data capture, and integration across APAC to identify gaps and inform targeted improvements.
Materials And Methods:
A regional survey was distributed to radiotherapy professionals in 19 APAC countries. The questionnaire assessed OIS utilisation, data capture, IT support, training, and system integration. Responses were analysed descriptively and stratified by World Bank income group: low-middle-income countries (L-MIC), upper-middle-income countries (U-MIC), and high-income countries (HIC).
Results:
A total of 149 responses were analysed. OIS functionality was limited in L-MICs and U-MICs, with only 34% and 59% of centres, respectively, using OIS beyond basic record-and-verify functions. Basic demographic data such as date of birth (83% L-MIC, 90% U-MIC) and sex at birth (98% L-MIC, 91% U-MIC) were consistently captured, but equity-related data were poorly documented (ethnicity 48% U-MIC, 59% HIC; disadvantaged group status rarely recorded in 78% of L-MICs). Radiotherapy data including treatment site (84% to 98%), intent (77% to 90%), and modality (86% to 95%) were consistently documented. However, the location of data capture varied: radiotherapy data were more frequently entered into OIS structured fields (35% L-MIC/U-MIC, 50% HIC), while demographic and diagnosis data showed lower structured capture in OIS (18% to 24% in L-MICs). Reliance on paper records remained widespread in L-MICs and U-MICs.
Conclusion:
Marked disparities in OIS utilisation and data quality exist across APAC. Regional strategies should prioritise comprehensive training and standardised datasets to improve cancer care quality and equity.
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