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Development of consensus quality indicators for cancer supportive care: a Delphi study and pilot testing.
Amelia Hyatt1,2, Karla Gough1,2,3, Holly Chung1
1Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
BMC Health Services Research
|March 28, 2024
Summary
This study developed and tested 16 quality indicators for cancer supportive care in Australia. These indicators are feasible for implementation and provide data to improve patient outcomes and healthcare services.
Area of Science:
- Oncology
- Healthcare Management
- Quality Improvement
Background:
- High-quality supportive care is crucial for optimal cancer patient outcomes.
- Quality indicators enable monitoring and improvement of cancer care delivery.
- This study aimed to develop and test feasible cancer supportive care quality indicators in Australia.
Purpose of the Study:
- To develop a minimum viable set of cancer supportive care quality indicators.
- To assess the feasibility and usability of these indicators for implementation.
- To generate data for policy and practice improvements in cancer care.
Main Methods:
- A modified Delphi process involving international experts was used to develop indicators.
- Qualitative interviews with clinical and health management staff assessed feasibility.
- Desktop audits of health service policies confirmed data availability and collection feasibility.
Main Results:
- Sixteen quality indicators for cancer supportive care in Australian acute care settings were identified.
- Indicators were categorized into Screening, Referrals, Data Management, Communication/Training, and Culturally Safe Care.
- Clinical staff found the indicators feasible, and desktop audits proved effective for assessing performance.
Conclusions:
- Developed quality indicators offer a robust framework for measuring and improving cancer supportive care.
- These indicators can drive service improvement and practice change, potentially enhancing patient health outcomes.
- Further evaluation of the implementation feasibility of these expert-consensus indicators is recommended.
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