Mapping unmet supportive care needs, quality-of-life perceptions and current symptoms in cancer survivors across the Asia-Pacific region: Results from the International STEP Study
journal contribution
posted on 2022-04-25, 23:46authored byA Molassiotis, P Yates, Q Li, WKW So, K Pongthavornkamol, P Pittayapan, H Komatsu, M Thandar, M Yi, S Titus Chacko, Violeta Lopez, J Butcon, D Wyld, RJ Chan, STEP Study Collaborators
Background: To assess the supportive care needs, quality of life (QoL) and symptoms of patients with cancer after the end of first-line treatments and into survivorship in Asian countries using Australian data as benchmark.
Patients and methods: A cross-sectional survey was carried out in Australia and nine high-income (HICs) and low-/middleincome (LMICs) Asian countries (China, Japan, Hong Kong SAR, South Korea, Myanmar, Thailand, India, Singapore, Philippines) using validated scales (Cancer Survivors Unmet Needs scale), physical-symptom concerns (Cancer Survivors Survey of Needs subscale) and a single-item measure of global QoL perception.
Results: Data were collected from 1873 patients. QoL was highest in Australia; all other countries had significantly lower QoL than Australia (all P < 0.001). One-quarter of the patients reported low QoL (scores 1–3/10). The most frequently reported symptoms were fatigue (66.6%), loss of strength (61.8%), pain (61.6%), sleep disturbance (60.1%), and weight changes (57.7%), with no difference in symptom experience between Australian data and all other countries, or between HICs and LMICs. Unmet needs of moderate/strong level were high, particularly in the area of existential survivorship (psychosocial care) and receiving comprehensive cancer care. Australia and HICs had unmet needs (all low), but LMICs had a significantly higher number of needs both compared with Australia and HICs (all P < 0.001).
Conclusion: Health care systems in Asian countries need to re-think and prioritize survivorship cancer care and put action plans in place to overcome some of the challenges surrounding the delivery of optimal supportive cancer care, use available resource-stratified guidelines for supportive care and test efficient and cost-effective models of survivorship care.