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Population-Based Digital Health Interventions to Deliver at-Home COVID-19 Testing: SCALE-UP II Randomized Clinical Trial

Population-Based Digital Health Interventions to Deliver at-Home COVID-19 Testing: SCALE-UP II Randomized Clinical Trial

Reach-Accept testing in the Chatbot arm was lower than in SMS text messaging (174/1051, 16.6% vs 555/1066, 52.1%; a RR 0.317, 98.33% CI 0.27‐0.38; P Reach-Accept testing was higher among participants messaged every 10 days vs every 30 days (860/15,717, 5.5% vs 752/15,722, 4.8%; a RR 1.144, 97.5% CI 1.03‐1.28; P=.01; Table 2), and lower if the participants were offered access to PN compared with those in the no PN condition (680/15,718, 4.3% vs 932/15,721, 5.9%; a RR 0.729, 97.5% CI 0.65‐0.81; P Out of 2117 participants

Guilherme Del Fiol, Tatyana V Kuzmenko, Brian Orleans, Jonathan J Chipman, Tom Greene, Ray Meads, Kimberly A Kaphingst, Bryan Gibson, Kensaku Kawamoto, Andy J King, Tracey Siaperas, Shlisa Hughes, Alan Pruhs, Courtney Pariera Dinkins, Cho Y Lam, Joni H Pierce, Ryzen Benson, Emerson P Borsato, Ryan C Cornia, Leticia Stevens, Richard L Bradshaw, Chelsey R Schlechter, David W Wetter

J Med Internet Res 2025;27:e74145

Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

The Fisher exact test yielded P=.01, indicating a statistically significant difference. As shown in Table 2, the average word count of the original notes was 320 words, and the average length reduction of the H-summaries and U-summaries was 22% (SD 15%) and 23% (SD 15%) words, respectively. A negative number for length reduction in Table 2 indicates that the summary generated had more words than the original text. In our analysis, we identified 3 instances of false information in U-summaries.

Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein

JMIR Med Inform 2025;13:e66476

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Mean EMAs completed in the incentivized arm was 13.3 (SD 11.2, range 0‐40, average completion rate of 31.7% out of 42 total EMA prompts) and 4.7 (SD 5.8, range 0‐28, average completion rate of 11.2% out of 42 total EMA prompts) in the nonincentivized arm (P Smoking cessation outcomes overall and by group. a EMA: ecological momentary assessment.

Kara P Wiseman, Alex Budenz, Leeann Siegel, Yvonne M Prutzman

J Med Internet Res 2025;27:e67630

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Parental stress (DASS-21, z=2.03; d=−0.41; 95% CI −2.63 to −0.16; P=.02), anxiety (GAD-7, z=2.15; d=−0.47; 95% CI −2.67 to −0.20; P=.02), and depression (PHQ-9, z=1.96; d=−0.50; 95% CI −3.25 to −0.08; P=.03) were all significantly improved at the posttraining time point. Notably, these patterns of behavioral change were mostly sustained at the 3-month follow-up after training completion (Figure 2).

Satish Jaiswal, Jason Nan, Seth Dizon, Jessica O Young, Suzanna R Purpura, James K Manchanda, Dhakshin Ramanathan, Dennis J Kuo, Jyoti Mishra

JMIR Form Res 2025;9:e69607

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

Correlation coefficients (r) and P values were reported to assess statistical significance. Regression results were reported as standardized beta coefficients (β) along with 95% CIs, P values, and adjusted R² values to assess statistical significance and explanatory power. All analyses were conducted using Python programming tools (version 3.11; Python Software Foundation).

James F Dockins, Heather D Pahl, David J Lingerfelt

Interact J Med Res 2025;14:e70098

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

Reducing Methamphetamine Use in Aboriginal and Torres Strait Islander Communities With the “We Can Do This” Web App: Qualitative Evaluation of Acceptability and Feasibility

The following codes are used to identify: P=person with experience, also referred to as “clients”; C=clinician; and W=peer worker. Affective attitude refers to how a participant feels about the program being evaluated. There were several examples of positive affect. As one clinician stated: I had a good feeling that there was this kind of app out there available for clients. So going through it, I was like “Yeah, this is looking pretty good.”

Leda Sivak, Rachel Reilly, Shani Crumpen, Carla Treloar, Rebecca McKetin, Julia Butt, Yvette Roe, Nadine Ezard, Brendan Quinn, Jack Nagle, Wade Longbottom, Clifford Warrior, James Ward

JMIR Form Res 2025;9:e58369

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

A Bonferroni correction was applied to all P values by multiplying each P value by 4, the number of tests conducted, to correct for multiple comparisons; a P value less than .05 was considered statistically significant after correction. Timelines of OARS use were also described for MOUD providers and case managers. All analyses were conducted in R (version 4.2.1; R Foundation for Statistical Computing). All qualitative data were analyzed using a coding reliability thematic analysis approach [16].

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

Spearman correlations showed that school year was positively and moderately correlated with stress (r27=.699; P Second-year medical students had mild depression (13.67), with moderate anxiety (11.17) and stress (20.50; Figure 1). In contrast, first-year medical students were in the “normal” range across all categories. This demonstrates that second-year medical students experience higher levels of distress. The Kruskal-Wallis results.

Jonathan Shaw, Ashley Lai, Sasha Singh, Seung Rim Yoo, Maha Fathali, Laura Stuck, James Hagerty, Van Le, Jisu Shin, Charles Lai, Peter Bota, Aaron Jacobs

JMIR Form Res 2025;9:e74218