Session ID: 
PSS13

Web-Based Lung Cancer Risk Calculators: Shared Decision-Making for Screening

9:30am - 3:30pm Wednesday, March 11
Orlando - Hyatt Regency
Hyatt - Regency Ballroom U

Description

This poster will be displayed in conjunction with the HIMSS20 Career Expo. Posters will be available for viewing through the entirety of the event. Poster presenters will be available for questions from 12:00 pm -1:00 pm.

Web-based lung cancer risk calculators have the potential to be used in the shared-decision making process and to initiate entry into the chain of care for lung cancer screening. Today many providers and health care organizations are providing health information on the internet (Massey, 2016). When Americans want to learn more about a health concern, one in three turn to the internet (Fox & Duggan, 2013). If an individual who smoked at least one pack of cigarettes a day for 30 years and had fewer than 15 years of abstinence wants to learn more about their risk of lung cancer, there are numerous lung cancer risk calculators on the internet. Having so many different lung cancer risk calculators on the internet raises concerns about the consistency of the requested input and the risk prediction model used as well as the consistency of the output. A systematic search was conducted to locate and identify lung cancer risk calculators available to the public. Risk calculators were evaluated on their input characteristics, risk prediction algorithms, and output characteristics. Inferences were made about the impact of the heterogeneity of these calculator's outputs on the uptake of health services, lung cancer screening, and the shared decision-making process.     

Learning Objectives

  • Articulate the differences between lung cancer risk calculators available on the web and their outputs
  • Identify the importance of web-based lung cancer risk calculators as related to shared decision-making and as a point of entry to the chain of care for lung cancer and lung cancer screening
  • Evaluate the style, prediction algorithm type, and output characteristics of different web-based lung cancer risk calculators and how these outputs relate to the uptake of lung cancer screening

Speaker(s)

MPH Student,
UF

Audience

Early Careerist
IT Professional
Student

Level

Introductory