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Skip search results from other journals and go to results- 226 Journal of Medical Internet Research
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Participants will be excluded from the study if they are not affiliated with the El Paso United States–Mexico border region, have not previously participated in phases I or II of the larger parent research project, do not identify as a current or emerging health care provider, decline or are unable to participate in the full intervention and follow-up time points, or are unable to complete participation and activities in the English language.
JMIR Res Protoc 2025;14:e60790
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One participant shared:
I look at [transition] as me having to know a lot about myself, especially where I am with my health. At the end of the day, my mother has to stop bringing me to the appointments, I can't bring her all the time, right? Because it’s that independent thing that comes in. So I think it’s just a learning experience about myself, learning about where I am with my health, knowing everything that I need to know for myself so I don't have to depend on anybody else to know it for me.
JMIR Pediatr Parent 2025;8:e64618
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This aligns with the common complaint heard by the authors in work settings from patients: Doctors chatter on, but I can’t understand a word they're saying. Explaining one term with another is not a joke but a satirical reality.
In English health information research, readability analysis is commonplace. Common assessment tools include the Flesch-Reading Ease score and Flesch-Kincaid Grade Level [15,16,22,25]. However, the analysis and application of Chinese readability are still in their infancy.
J Med Internet Res 2025;27:e62857
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medication-related technology.
a ADC: automated dispensing cabinet.
b BCMA: barcode medication administration.
c SDC: smart dispensing counter.
d The number of dispensing errors divided by the number of medication orders.
e Percentage are calculated using the number of dispensing errors as the denominator.
f National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) classification [3]: no error (category A); error, no harm (categories B-D); error, harm (categories E-H); and error, death (category I)
J Med Internet Res 2025;27:e59220
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A minority of respondents agreed or strongly agreed with statements that “the equipment helped in my care at home” (21/53, 40%), “helped me better understand my condition” (22/53, 41.5%), “understand how to care for myself” (19/53, 35.8%), “understand what I should be tracking throughout my care” (23/53, 43.4%), and “understand steps I can take to improve my health” (19/53, 35.8%).
JMIR Form Res 2025;9:e66763
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The GEE model is specified as follows:
Yi j= β0 + β1 (CHEC policy)j + β2 disease𝑖 + β3 (CHEC policy × disease)ij + εij,
where Yij represents the outcome variable (eg, diagnosis indicator, treatment indicator, mortality, or medical use) for individual i at time j. β0 is the intercept, capturing the baseline level of the outcome for the reference disease (ie, major trauma) in the pre-CHEC period.
Interact J Med Res 2025;14:e54651
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Evaluating Perceptions of the CANreduce 2.0 eHealth Intervention for Cannabis Use: Focus Group Study
The study was approved by the Ethics Committee of CEIm-Parc de Salut Mar/IMIM-Hospital del Mar (approval code 2019/8901/I). Before the FGs, informed consent was obtained from all participants. At the start of each session, participants were briefed on key ethical considerations, including confidentiality and voluntary participation, to ensure an ethical and transparent process. Audio recordings were made to facilitate transcription, with no names recorded to maintain confidentiality.
J Med Internet Res 2025;27:e65025
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