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Studies that reported clinical outcomes.
a NCM: nurse care manager.
b BG: blood glucose.
c BP: blood pressure.
d Not applicable.
e FPG: fasting plasma glucose.
f SBP: systolic blood pressure.
g DBP: diastolic blood pressure.
h T2 DM: type 2 diabetes mellitus.
i SMBG: self-monitoring blood glucose.
je GFR: estimated glomerular filtration rate.
k TG: triglyceride.
l HDL: high-density lipoprotein.
m LDL: low-density lipoprotein.
n IG: intervention group.
o CG: control group.
p PCP: primary care physician.
q RDN: registered dietitian
J Med Internet Res 2025;27:e60703
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Pain-related items were more important in the group without digital tools (item 14 and item 17), although high scores of item 14 represent low adherence, while high scores for item 17 relate to high adherence.
The overall EARs score showed no significant difference between the patients without (11.80 [2.7]) and patients with (12.80 [2.79]) digital tools (P=.5). No significant correlation between the overall score and ΔPmax was found (P=.21, r=0.07).
JMIR Mhealth Uhealth 2025;13:e57413
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Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study
However, these measures have been criticized for being time-consuming in clinical settings [9], failing to fully cover HL concepts, and potentially causing shame and stigma among individuals with low literacy levels [8,10]. These tests are typically administered face-to-face. By contrast, measuring HL at the population level can help identify vulnerable groups, design targeted initiatives, address inequalities, and evaluate the success of interventions [8].
J Med Internet Res 2025;27:e59807
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This low-risk study does not present a greater risk to potentially vulnerable populations. Given the short duration of this study (1 study visit), it is not expected that significant cognitive decline will occur throughout the study to impact a participant’s ability to provide ongoing consent. Participants unable to achieve a passing score on the Evaluation to Sign Consent will be excluded unless a LAR is present to provide consent.
JMIR Res Protoc 2025;14:e60587
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Awareness of AI being developed for use in diagnostic pathology was very low, with 43.21% (656/1518) of respondents being not at all aware and only 10.28% (156/1518) being moderately or extremely aware. However, the respondents held positive beliefs about the future implementation of AI in cancer diagnosis and management.
J Med Internet Res 2025;27:e59591
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Other studies on telerehabilitation after stroke with exercises performed in standing also found low rates of adverse events [17,62,66]. A Cochrane review reported no serious trial-related adverse effects using telerehabilitation after stroke [20]. The use of a reliable study partner is suggested to mitigate the risk of falls or injuries, as well as help with the technology [17].
There were no differences between groups for the physical and life participation outcome measures.
JMIR Rehabil Assist Technol 2025;12:e64729
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High-frequency, low-complexity tasks such as responding to the nurse call button and performing glucose checks were favored for robotic automation. This suggests that clinicians are interested in leveraging robotic technology to reduce the burden of basic tasks, potentially increasing efficiency and allowing them to focus on more patient-centric care.
On the other hand, tasks requiring higher clinical judgment, such as adjusting ventilator settings, were not as highly prioritized for robotic assistance.
J Med Internet Res 2025;27:e62957
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