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Skip search results from other journals and go to results- 596 Journal of Medical Internet Research
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Further statistical analysis indicated that the use of MB platforms was significantly associated with a 2.08-point increase (95% CI 1.73‐2.43, P=.002) in the ability to individualize training programs based on performance results (Table 3).
JMIR Med Educ 2025;11:e57216
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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.
JMIR Med Inform 2025;13:e66476
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The calculation variables were n (sample size), z=1.96 (for a 95% confidence level), p=50% (the probability of selecting a choice, suitable for highly dispersed population), q=(1–p), and d=3.272% (allowed error percentage). According to the calculation, a sample size of 898 was determined.
JMIR Public Health Surveill 2025;11:e66535
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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.
J Med Internet Res 2025;27:e67630
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Both BP and MDD groups exhibited higher BDI (P
Demographic and clinical characteristics of the participants.
a HC: healthy control.
b BP: bipolar disorder.
c MDD: major depressive disorder.
d YMRS: Young Mania Rating Scale.
e Not available.
f HAM-D: Hamilton Depression Rating Scale.
g BDI-II: Beck Depression Inventory.
h PHQ-4: Patient Health Questionnaire-4.
i BAI: Beck Anxiety Inventory.
J Med Internet Res 2025;27:e71658
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A P value
Quality-adjusted life years (QALYs) will be used for economic evaluation to compare the relative costs and outcomes of different groups. Estimating quality of life weights involves quantifying the quality of life at different health states on a scale from 0, representing the worst imaginable health state or death, to 1, indicating perfect health. These weights are directly measured in this study population using standardized instruments (ie, EQ-5 D-5 L).
JMIR Res Protoc 2025;14:e64518
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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].
J Med Internet Res 2025;27:e69953
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Heterogeneity across studies was quantified using the I2 statistic and P value, as high heterogeneity was anticipated due to differences in specific interventions, participant characteristics, and follow-up durations [22]. Consequently, we adopted a random-effects model to obtain more conservative effect estimates. Subgroup analysis and publication bias assessments were not conducted due to the limited number of included studies [23].
J Med Internet Res 2025;27:e73010
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