Search Articles

View query in Help articles search

Search Results (1 to 5 of 5 Results)

Download search results: CSV END BibTex RIS


Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study

Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study

Another strength of this study was the use of Perf OMs that can collect several measurements quickly, ecologically, and longitudinally. This means that the construct should be captured more precisely, more reflective of pathology in the patient’s natural environment, and potentially more responsive to intervention. In the future, these hypotheses will be formally assessed via further clinimetric studies. Despite its conscientious design, this study has limitations.

Alvaro Yanez Touzet, Tatiana Houhou, Zerina Rahic, Ilya Laufer, Konstantinos Margetis, Allan R Martin, Nicolas Dea, Zoher Ghogawala, Misha Kapushesky, Mark R N Kotter, Benjamin M Davies, MoveMed

JMIR Neurotech 2024;3:e52832

Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale

Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale

Additionally, because existing health literacy scales rely on subjective measurements, it is impossible to know how an individual’s responses relate to actual skill level, whereas objective tests can directly measure an individual’s skills [9,10]. Motivated by this, our study endeavors to construct and validate a scale measuring digital health readiness consisting of subjective and objective questions.

Hana Kim, Rebecca Schnall, Nagyeom Yoon, Seong-Joon Koh, Jisan Lee, Jae Hee Cheon

J Med Internet Res 2024;26:e58497

Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study

Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study

Yet, to cement their research utility, two aspects of these digital measurements need to be properly characterized: (1) the accuracy with which a digital measurement reads the parameters of interest [9] and (2) the amount of aggregated data needed to reliably capture an individual’s underlying behavioral state, minimizing noise related to natural variability, which usually translates into an aggregation time period for data collection (time to reliability).

Nathan Kowahl, Sooyoon Shin, Poulami Barman, Erin Rainaldi, Sara Popham, Ritu Kapur

JMIR Hum Factors 2023;10:e48270

Evaluation of a Web-Based Dietary Assessment Tool (myfood24) in Norwegian Women and Men Aged 60-74 Years: Usability Study

Evaluation of a Web-Based Dietary Assessment Tool (myfood24) in Norwegian Women and Men Aged 60-74 Years: Usability Study

Objective measurements, such as biomarkers, are not influenced by the participant’s personal beliefs or perceptions. However, biomarkers do not cover all components of the diet and are affected by absorption and metabolism; hence, they are not always suitable or feasible and are dependent on the study context [7]. Self-report tools, such as FFQs assessing habitual intake, food records, or dietary recalls are noninvasive and usually feasible to use in a variety of research settings.

Laila Arnesdatter Hopstock, Anine Christine Medin, Guri Skeie, André Henriksen, Marie Wasmuth Lundblad

JMIR Form Res 2022;6(3):e35092

Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions

Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions

Precise definitions and measurements for engagement will allow for better estimation of DBCI effectiveness and provide accurate insights that inform relevant intervention recommendations [4].

Heather Cole-Lewis, Nnamdi Ezeanochie, Jennifer Turgiss

JMIR Form Res 2019;3(4):e14052