Caroline J Meek, Tiwonge E Mbeya Munkhondya, Mtisunge Mphande, Tapiwa A Tembo, Mike Chitani, Milenka Jean-Baptiste, Dhrutika Vansia, Caroline Kumbuyo, Jiayu Wang, Katherine R Simon, Sarah E Rutstein, Clare Barrington, Maria H Kim, Vivian F Go, Nora E Rosenberg
Examining the feasibility of assisted index case testing for HIV case-finding: a qualitative analysis of barriers and facilitators to implementation in Malawi
BMC health services research
study aimed assess potential using artificial intelligence ai large language model improve readability burns first aid information ai language model chatgpt3 used rewrite content top 50 englishlanguage webpages containing burns first aid information understandable individual literacy level 11yearold recommended american medical association health education england assessment readability conducted using five validated tools original form 4 patient education materials pems met target readability level across tools median grade 69 sd11 onesample onetailed ttest revealed significantly target p 31 aimodification 18 pems reached target level using tools median grade 6 sd09 significantly target level p 001 rewritten using ai paired ttest demonstrated readability scores improved significantly p 001 utilising ai language model proved effective viable method enhancing readability burns first aid information