Evaluating the health and health economic impact of the COVID-19 pandemic on delayed cancer care in Belgium: A Markov model study protocol.
Yasmine KhanNick VerhaegheRobby De PauwBrecht DevleesschauwerSylvie GadeyneVanessa GorassoYolande LievensNiko SpeybroekNancy Van DammeMiet VandemaeleLaura Van den BorreSophie VandepitteKatrien VanthommeFreija VerdoodtDelphine De SmedtPublished in: PloS one (2023)
The results that such decision-analytic Markov model can provide are of interest to decision makers because they help them to effectively allocate resources to improve the health outcomes of cancer patients and to reduce the costs of care for both patients and healthcare systems. Our study provides insights into methodological aspects of conducting a health economic evaluation of cancer care and COVID-19 including insights on cancer type selection, the elaboration of a Markov model, data inputs and analysis.
Keyphrases
- healthcare
- public health
- study protocol
- mental health
- health information
- randomized controlled trial
- sars cov
- ejection fraction
- newly diagnosed
- palliative care
- squamous cell carcinoma
- health promotion
- quality improvement
- electronic health record
- decision making
- squamous cell
- young adults
- artificial intelligence
- data analysis
- patient reported