Purpose

Poor health literacy and patient comprehension have been associated with adverse health outcomes. Patient educational materials (PEMs) are articles that are intended to assist patients in their understanding of a given medical condition. Given that the average American adult reads at the 8th grade level, the American Medical Association and the Center for Disease Control recommend PEM be written at the 6th grade level. However, literature has found the majority of PEMs to be written significantly higher than the 8th grade level. In order to improve their readability, a number of studies have displayed the effectiveness of large language models (LLMs) such as ChatGPT to simplify the text of a given PEM. Despite the improvement in readability, the effectiveness of these simplified PEMs on improving patient comprehension of the AI augmented material has yet to be investigated. The purpose of our study is to test whether the improvement in readability found in AI-simplified PEMs corresponds to a greater understanding of the material compared to the original PEM. Understanding if AI-simplified PEM truly improves comprehension could further support this use case for AI and aid providers and healthcare organizations in improving the health literacy of their patients. This study aims to answer the following question: Do AI simplified PEMs improve the comprehension of pediatric orthopaedic conditions? Researchers will compare AI-simplified PEMs to their original, unmodified counterparts in order to see if there is any difference in post reading comprehension of the participants. Participation in the study will include: - A brief baseline survey (e.g. demographics and educational attainment) - A randomly assigned reading of either the original PEM or the AI simplified version. - A 10 question post-reading multiple choice quiz

Conditions

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • Parents or guardians of pediatric patients receiving treatment at Hospital for Special Surgery

Exclusion Criteria

  • Non-English Speaking - primary occupation is in healthcare - participants with prior knowledge on the condition pertaining to the material (osteogenesis imperfecta)

Study Design

Phase
N/A
Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel Assignment
Primary Purpose
Health Services Research
Masking
Double (Participant, Investigator)

Arm Groups

ArmDescriptionAssigned Intervention
Active Comparator
Original, unmodified Patient Educational Material
This group of participants will receive a patient educational material pertaining to osteogenesis imperfecta and written by a physician without simplification by artificial intelligence.
  • Other: Unmodified Patient Educational Material
    An unmodified patient educational material, written by a physician and publicly available on the institution's website will be administered to participants of the designated arm of the study.
Experimental
AI-Simplified Patient Educational Material
This group will read a patient educational material pertaining to osteogenesis imperfecta that was simplified to the 6th grade reading level by artificial intelligence.
  • Other: AI Simplification
    A patient educational article will be simplified by artificial intelligence (ChatGPT 5.2) in order to improve its readability.

Recruiting Locations

Hospital for Special Surgery
New York, New York 10021
Contact:
Christopher Williams, MS
6467146986
williamsch@hss.edu

More Details

Status
Recruiting
Sponsor
Hospital for Special Surgery, New York

Study Contact

Christopher Williams, MS
(646)-714-6986
williamsch@hss.edu

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.