e.g. mhealth
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Skip search results from other journals and go to results- 15 Journal of Medical Internet Research
- 7 JMIR Formative Research
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- 7 JMIR mHealth and uHealth
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Among numerous approaches for PA measurement and estimation, accelerometer-derived outcomes not only help individuals objectively recognize their PA levels but also build foundational knowledge for organizations and communities to develop health intervention plans for specific populations [8,9].
With the continuous evolution of technology, sensor-based ecological measurement has emerged, and wearable activity trackers have become one of the most popular means of measuring daily PA levels [10].
JMIR Mhealth Uhealth 2025;13:e63033
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Underrepresentation of the patient voice in the definition of therapeutic empathy also creates problems for research, particularly with regard to measurement of the concept. Of the many measures purporting to assess therapeutic empathy [24-31], few are directly informed by patients’ perspectives [15,32]. This is problematic because the measurement of any concept should account for the lived experiences of all stakeholders [33,34].
J Particip Med 2025;17:e71610
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Knowledge Sharing Maturity Model for Medical Imaging Departments: Development Study
For each indicator, there are measurement questions that help managers and policy makers assess each indicator.
A total of 9 different participants were recruited in this study: 9 in the first round and 9 in the second part. They were from 2 countries: the United Kingdom and Kuwait. Table 4 shows the demographic characteristics of the participants. Most of respondents were female (n=7, 78%), and they were mainly from Kuwait (n=7, 78%).
JMIR Hum Factors 2025;12:e54484
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We began with a snowball approach, using a starting set of 10 peer-reviewed health IT and CDS measurement frameworks and measurement-related publications compiled by 1 of the authors (DFS) with expertise in CDS measurement and evaluation. We conducted backward citation tracking of the starting set of papers and then conducted a title and abstract screening to determine whether each article met the eligibility criteria (Textbox 1).
J Med Internet Res 2025;27:e68674
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A fundamental weakness of the evidence base is a reliance on self-report measures, most commonly surveys, which are susceptible to issues such as recall bias [5], measurement reactivity [6], and low response rates [7]. For example, survey response rates as low as 14% are not uncommon in physical activity research in this area [7], increasing the risk of selection bias. Another commonly used method involves infrared sensors, which offer a low-cost solution for monitoring footfall over long periods of time.
JMIR Public Health Surveill 2024;10:e66049
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Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review
Given these attributes, AI emerges as a promising candidate to revolutionize the landscape of food and nutrient intake measurement.
While numerous reviews have covered objective measures of dietary intake, our review specifically focuses on the application of AI technologies in this field. This scoping review provides a comprehensive synthesis of recent advancements, highlights the unique challenges faced by AI methodologies, and identifies critical gaps that future research should address.
J Med Internet Res 2024;26:e54557
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Therefore, the development of a comprehensive, unified, and culturally sensitive measurement of TFSVA is needed.
Although the concepts of TFSVA are not well defined, TFSVA in this study refers to any form of sexual violence or harassment through the misuse of digital technologies [12]. The overall goal of this formative work is to develop a TFSVA measurement with sound content validity in the Chinese context.
JMIR Form Res 2024;8:e65199
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Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors
Successful innovation will likely entail novel measurement paradigms, rather than incremental improvements on current techniques [6]. One of the most promising and underexplored paradigms is to integrate data from multiple types of sensors, rather than the traditional use of only accelerometer sensors [7,8].
Photoplethysmography (PPG) is an optical technology that may have potential to enhance physical activity measurement when combined with established inertial sensors (accelerometers and gyroscopes) [9].
JMIR Mhealth Uhealth 2024;12:e57158
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Clinician-Prioritized Measures to Use in a Remote Concussion Assessment: Delphi Study
Smooth pursuits, saccades, VORb: feasible (most clinicians only complete these 3 components); need a well-placed camera
VOR: feasible, but keeping at the right speed is a challenge; could use a metronome smartphone app
Convergence: feasible, measurement is the barrier (unless having a person helping in-person)
Visual motion sensitivity: feasible; however, safety concern if standing, need to have enough range (cannot do this in seated position unless while having a swivel chair)
If solely using VOMS to capture
JMIR Form Res 2024;8:e47246
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Reference 10: The state of the science of health literacy measurement Reference 31: A study on development of the digital competence measurement tool for university studentmeasurement
J Med Internet Res 2024;26:e58497
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