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How Do We Define and Measure Optimal Care for Cancer Survivors? An Online Modified Reactive Delphi Study.

Karolina LisyLena LyHelana KellyMelanie ClodeMichael Jefford
Published in: Cancers (2021)
This research sought to answer the question 'what quality criteria do survivorship experts consider to be important in achieving optimal cancer survivorship care?'. An online modified reactive Delphi survey consisting of two rounds was completed with experts including consumers, clinicians, researchers, policymakers and quality and accreditation professionals. Survey items were based on international literature and considered three domains: Policy, process and outcome. In round 1 (R1), experts ranked the importance of 68 criteria on a five-point Likert scale. Criteria were retained if scored 4 (important) or 5 (very important) by >75% participants. In round 2 (R2), experts ranked top 10 criteria per domain. Response rates were 79% (70/89) and 84% (76/91), respectively. After R1, six criteria were removed and six were added. From R2, ten items for each domain were retained. These 30 items formed the Quality Framework. A consensus meeting considered priority items from the Quality Framework and feasibility of data collection. Prioritized items included having a policy on survivorship care; the existence of a multidisciplinary survivorship program (policy); appropriate processes to assess survivors' emotional, psychological and physical needs following treatment and stratification to appropriate models of care (process); and collecting patient-reported outcomes, quality of life and survival rates (outcome).
Keyphrases
  • quality improvement
  • healthcare
  • palliative care
  • childhood cancer
  • public health
  • mental health
  • patient reported outcomes
  • young adults
  • systematic review
  • pain management
  • artificial intelligence
  • data analysis
  • big data