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Skip search results from other journals and go to results- 44 JMIR Research Protocols
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Photoplethysmography (PPG) is an optical measurement technique that records changes in the light reflected from the skin surface due to volumetric changes in the facial blood vessels; small variations in perfusion provide valuable information about the cardiovascular system [9]. PPG has been used to measure PR [10,11], oxygen saturation [12], BP [13,14], and RR [10,15] and to detect atrial fibrillation [16].
JMIR Res Protoc 2025;14:e58334
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Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata
J Med Internet Res 2025;27:e64721
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We estimated that a sample size of 200 patients was sufficient to provide power to detect small to medium effect sizes, ensuring robust statistical analysis of sensitivity of the app. In addition, this number was deemed feasible for a single-center study within the constraints of the available budget and study period.
The sampling method was consecutive sampling.
JMIR Form Res 2025;9:e60465
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Exploring Older Adult Cancer Survivors’ Digital Information Needs: Qualitative Pilot Study
Further, although the participants represented geographic diversity, all identified as White, spoke English, and had postsecondary education; thus, this small, nonrepresentative sample may have reduced the richness of the data and the ability to achieve data saturation. Questions regarding diversity will also be added to the upcoming survey.
Overall, this pilot study confirmed the utility of DHTs in enhancing the connection of older adult cancer survivors to health care.
JMIR Cancer 2025;11:e59391
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We hypothesize that youth receiving the app will show improvement in emotion regulation (small to medium effect) greater than that observed for youth receiving only UP.
JMIR Res Protoc 2025;14:e64745
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Given the pilot study’s small sample size and attrition by time 3, we used time-1 and time-2 data for calculating the MCID.
The Global Rating of Change Scale (GRCS) is a single-item measure assessing the degree of change individuals felt occurred during or after an intervention [6]. The GRCS asked participants “As a result of using the Joy Pop app, has your ability to understand and manage your emotions been...”
JMIR Form Res 2025;9:e64483
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A Cohen d of 0.2 was considered a small effect, 0.5 was considered medium, and 0.8 was considered large. For categorical outcomes mean change scores and 95% CIs were calculated to determine change across the intervention. All data were analyzed in SPSS (version 29.0; IBM Corp).
The protocol and waiver of informed consent was approved by the University of Utah Institutional Review Board (IRB_00072431) in accordance with the Declaration of Helsinki.
JMIR Cancer 2025;11:e56718
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Economics and Equity of Large Language Models: Health Care Perspective
It is important to note that measurement bias may accentuate validation bias because validation at small sample sizes can be statistically challenging. Label bias may be a result of surrogate variables substituting the actual health care outcomes of interest. Modeling bias is attributed to the biased results generated by a specific model. Computational and statistical biases can be a result of inadequate representation of select groups and populations in the given data.
J Med Internet Res 2024;26:e64226
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In addition to Lizzo’s original posts, Instagram users’ comments and replies to those comments were also coded and small modifications were made to the original coding scheme to improve clarity and increase consistency between coders. Following the training sessions, 1 round of pilot coding was conducted using the first 10 Lizzo Instagram posts, including the associated user comments and replies, in the sample. Posts were coded by 2 coders independently.
JMIR Form Res 2024;8:e60541
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Limitations include a small cardiovascular dataset leveraging proprietary LLMs and only a subset of available optimization techniques. Future efforts must engage diverse scientific communities; develop guardrails to ensure safe and responsible LLM use; and apply data-driven best practices that generalize, optimize, and validate LLM applications and their impact on patients with cardiovascular disease.
JMIR Med Inform 2024;12:e64143
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