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Skip search results from other journals and go to results- 391 Journal of Medical Internet Research
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With 24 participants, a significant intervention effect (P
Primary outcome data will be analyzed using a multilevel model (R, version 4.0+; package lme4) to investigate whether there is a significant difference between the level of professional care support moments (frequency or duration) per week in the baseline phase and the effect phase. The dependent continuous variable is the frequency and duration of professional care support moments per week.
JMIR Res Protoc 2025;14:e67841
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However, a greater proportion of veterans with (compared to without) prevalent mental health conditions reported the following considerations to be “very important”: seeing information about DHTs on social media (those with mental health conditions: 42/428, 9.8%; those without mental health conditions: 19/328, 5.8%; χ22=6.2; P=.05); having community support through Veteran Service Organizations, churches, libraries, or other organizations to use DHTs (with: 56/427, 13.1%; without: 25/327, 7.6%; χ22=7.9; P=.02
JMIR Form Res 2025;9:e77113
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I think larger agencies can afford it, at least they can dabble a little bit and figure out what’s going to work. A small agency that is not bringing in a huge revenue stream is just going to see this as another cost.
Rural HHAs, in particular, may stand to benefit from telehealth according to some of the participants.
J Med Internet Res 2025;27:e75861
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Survivors who were interviewed likewise reported that they received little to no information about alcohol use once they completed cancer treatment. “They didn’t really give me any restrictions,” said one survivor [ID 4], while another said “I have received no information about alcohol and cancer” [ID 9]. Others recalled that providers advised them to “maintain a healthy diet and exercise,” [ID 26] or “wear sunscreen,” [ID 9] for example, but did not explicitly mention alcohol.
JMIR Cancer 2025;11:e59949
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With 47.3% adult population with hypertension in the United States in 2021 [29], using 5% type 1 error (P=.05), the minimum sample size required to estimate participation in RBPM was 383 participants [30]. A minimum of 500 sample size has been recommended for detecting differences between the sample estimates and the population in observational studies involving logistic regression [31]. We stopped recruitment as soon as possible when we reached a sample size of 500.
J Med Internet Res 2025;27:e71926
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Capturing Community Perspectives in a Statewide Cancer Needs Assessment: Online Focus Group Study
JMIR Cancer 2025;11:e63717
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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
J Med Internet Res 2025;27:e74145
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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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