NCT07505719

Brief Summary

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

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
80

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 1, 2026

Completed
19 days until next milestone

First Submitted

Initial submission to the registry

March 20, 2026

Completed
12 days until next milestone

First Posted

Study publicly available on registry

April 1, 2026

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2026

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2026

Completed
Last Updated

April 1, 2026

Status Verified

March 1, 2026

Enrollment Period

2 months

First QC Date

March 20, 2026

Last Update Submit

March 26, 2026

Conditions

Keywords

Artificial IntelligenceHealth LiteracyPatient ComprehensionPatient Educational Material

Outcome Measures

Primary Outcomes (1)

  • Post Reading Comprehension Scores

    Participants will complete a 10 question multiple choice quiz to measure their comprehension of the assigned reading. Scores can range from a minimum of 0 to a maximum of 10 and an increase in score is associated with a greater degree of comprehension of the material.

    Comprehension scores will be recorded once, immediately at the completion of the post-reading comprehension quiz.

Secondary Outcomes (1)

  • Factors Associated with Comprehension Scores

    These variables will be collected once, pre-intervention (prior to the administration of either original or simplified patient educational material) at the time of survey administration.

Study Arms (2)

Original, unmodified Patient Educational Material

ACTIVE COMPARATOR

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

AI-Simplified Patient Educational Material

EXPERIMENTAL

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

Interventions

A patient educational article will be simplified by artificial intelligence (ChatGPT 5.2) in order to improve its readability.

AI-Simplified 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.

Original, unmodified Patient Educational Material

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hospital for Special Surgery

New York, New York, 10021, United States

RECRUITING

Central Study Contacts

Christopher Williams, MS

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, INVESTIGATOR
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 20, 2026

First Posted

April 1, 2026

Study Start

March 1, 2026

Primary Completion

May 1, 2026

Study Completion

May 1, 2026

Last Updated

April 1, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will share

All IPD collected throughout the trial.

Locations