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SEARCH Study: Text Messages and Automated Phone Reminders for HPV Vaccination in Uganda: Randomized Controlled Trial

SEARCH Study: Text Messages and Automated Phone Reminders for HPV Vaccination in Uganda: Randomized Controlled Trial

There was no significant difference in requested mode based on HPV vaccine dose or language (desired text messages for initiation reminders (22/39, 56%), versus for completion reminders (26/39, 67%; P=.35), desired text messages for reminders in English (21/28, 75%) versus in Luganda (27/50, 54%; P=.07). Enrollment flow diagram. Characteristics of study participants. a HPV: human papillomavirus. b KCCA: Kampala Capital City Authority.

Sabrina B Kitaka, Joseph Rujumba, Sarah K Zalwango, Betsy Pfeffer, Lubega Kizza, Juliane P Nattimba, Ashley B Stephens, Nicolette Nabukeera-Barungi, Chelsea S Wynn, Juliet N Babirye, John Mukisa, Ezekiel Mupere, Melissa S Stockwell

JMIR Mhealth Uhealth 2025;13:e63527

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

The model used the default probability threshold of .5 to determine the classification for each sentence and each symptom (Yes when P≥.5; No when P The final model’s discriminative power for each symptom was evaluated by the area under the receiver operating characteristic curve (AUC). The results were averaged across the internal validation and external testing datasets. Finally, the rule- and transformer-based NLP algorithms were consolidated to generate hybrid algorithms.

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025;4:e69132

Improving Diet Quality of People Living With Obesity by Building Effective Dietetic Service Delivery Using Technology in a Primary Health Care Setting: Protocol for a Randomized Controlled Trial

Improving Diet Quality of People Living With Obesity by Building Effective Dietetic Service Delivery Using Technology in a Primary Health Care Setting: Protocol for a Randomized Controlled Trial

P values A sample size of 342 participants (n=171 per group) will have 90% power to detect a difference in change between arms of at least 5% of body weight at 12 months between groups, using a conservative estimate of SD, at 90% power and 5% level of significance. Assuming 20% (n=86) of participants are not followed up, this would necessitate 430 (215 in each group) participants to be recruited.

Deborah A Kerr, Clare E Collins, Andrea Begley, Barbara Mullan, Satvinder S Dhaliwal, Claire E Pulker, Fengqing Zhu, Marie Fialkowski, Richard L Prince, Richard Norman, Anthony P James, Paul Aveyard, Helen Mitchell, Jacquie Garton-Smith, Megan E Rollo, Chloe Maxwell-Smith, Amira Hassan, Hayley Breare, Lucy M Butcher, Christina M Pollard

JMIR Res Protoc 2025;14:e64735