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Area of Science:

  • Digital Health
  • Consumer Health Informatics
  • Pharmacy Practice

Background:

  • Symptom checkers aid clinical decisions, including over-the-counter (OTC) product selection.
  • Health and wellness vending machines (HWVM) offering OTC medications are prevalent on college campuses.
  • Current systems lack integration between self-assessment tools and HWVM for OTC selection.

Purpose of the Study:

  • To evaluate college students' preferences for symptom checking algorithms.
  • To compare kiosk-based versus online access for symptom checkers linked to HWVM.

Main Methods:

  • A survey was administered to 303 unique college students in Spring 2025.
  • Data collected included demographics, HWVM usage, and perceived benefits of a symptom algorithm.
  • Responses were gathered using Qualtrics™.

Main Results:

  • Only 17% of students reported using HWVM.
  • 64% of students prefer consulting a person for new health issues, while 30% prefer online resources.
  • 75% believe a symptom algorithm would enhance the HWVM experience, with 78% preferring mobile access over kiosks (57%).

Conclusions:

  • Despite low HWVM usage and a preference for human consultation, students are receptive to symptom algorithms for OTC selection.
  • Further research is needed to validate algorithms, analyze inventory trends, and assess user satisfaction.