Development of Population-Based Cancer Indicators and a Measurement of Cancer Care Continuum Using a Modified Delphi Method

To identify population-based cancer indicators and construct monitoring systems for the entire lifecycle of cancer patients using a modified Delphi method. A modified Delphi method was used to identify the cancer indicators and measurement by scoping review and gray literature. The final list of can...

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Bibliographic Details
Published in:Cancers 2021-09, Vol.13 (19), p.4826
Main Authors: Rajaguru, Vasuki, Jang, Jieun, Kim, JaeHyun, Kwon, JeoungA, Cho, Oyeon, Chung, SeungYeun, Ahn, MiSun, Park, JinHee, Won, YoungJoo, Jung, KyuWon, Shin, Jaeyong, Chun, Mison
Format: Article
Language:English
Subjects:
Cancer
Community health care
Coronaviruses
COVID-19
Delphi method
Grey literature
Health care
Health services
Literature reviews
Medical research
Mortality
Palliative care
Pandemics
Patients
Population
Population-based studies
Quality of life
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Summary:To identify population-based cancer indicators and construct monitoring systems for the entire lifecycle of cancer patients using a modified Delphi method. A modified Delphi method was used to identify the cancer indicators and measurement by scoping review and gray literature. The final list of cancer indicators was developed by consensus of 11 multidisciplinary experts over multiple rounds and rating scored the importance of each indicator on a 10-point scale. Frequency analysis was performed to rate with median scores ≥7 and finalized the list of indicators according to the priority. Initially, 254 indicators were identified, of which 94 were considered important and feasible. After two rounds of rating by the experts and panel discussions, 26 indicators were finalized in six domains: primary prevention (n = 7), secondary prevention (n = 11), treatment (n = 2), quality of life (n = 4), survivor management (n = 1), and end-of-life care (n = 1). The Donabedian model used for examining health services and the Institute of Medicine quality of healthcare domains were applied to the measurement system. Panel experts identified cancer indicators based on priorities with a high level of consensus, providing a scrupulous foundation for community-based monitoring of cancer patients.
ISSN:2072-6694
2072-6694
DOI:10.3390/cancers13194826