Health Informatics J. 2020 Dec;26(4):2877-2891. doi: 10.1177/1460458220949484. Epub 2020 Aug 17.

Consumer health informatics approach for personalized cancer screening decisions using utility functions.

Health informatics journal

John Maleyeff, Danrong Chen

PMID: 33317380 DOI: 10.1177/1460458220949484

Abstract

A consumer health informatics approach is used to investigate the development of a patient-centered decision support system (DSS) with individualized utility functions. It supports medical decisions that have uncertain benefits and potential harms. Its use for accepting or declining cancer screening is illustrated. The system's underlying optimization model incorporates two user-specific utility functions-one that quantifies life-saving benefits and one that quantifies harms, such as unnecessary follow-up tests, surgeries, or treatments. The system requires sound decision making. Therefore, the decision making process was studied using a decision aid in the form of a color-coded matrix with the potential outcomes randomly placed in proportion to their likelihoods. Data were collected from 48 study participants, based on a central composite experimental design. The results show that the DSS can be effective, but health consumers may not be rational decision makers.

Keywords: cancer screening; clinical decision making; consumer health informatics; e-health; health utility functions; medical decision modeling

MeSH terms

• Consumer Health Informatics*
• Decision Making
• Decision Support Techniques
• Early Detection of Cancer
• Humans
• Neoplasms* / diagnosis
• Patient Participation

Publication Types

• Journal Article