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A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

An initial CLIQ framework was developed through a systematic review and qualitative synthesis of existing information quality frameworks for DHTs [11]. A CLIQ assessment questionnaire was then developed based on the CLIQ framework and further evidence from literature [21]. The questionnaire offers a pragmatic approach to assessing clinical information in DHTs based on relatable clinical scenarios.

Kayode Philip Fadahunsi, Petra A Wark, Nikolaos Mastellos, Ana Luisa Neves, Joseph Gallagher, Azeem Majeed, Josip Car

JMIR Med Inform 2025;13:e58125

Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study

Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study

To manage diabetes in the long term, a combination of a healthy lifestyle and medication seems optimal. However, as individual factors (eg, comorbidities) can make glycemic control (glycated hemoglobin [Hb A1c] levels) through medication challenging, a change in lifestyle is preferred as a first-step approach [6].

Kim Bul, Nikki Holliday, Mohammad Rashed Alam Bhuiyan, Cain C T Clark, John Allen, Petra A Wark

JMIR Hum Factors 2023;10:e43959

Information Quality Frameworks for Digital Health Technologies: Systematic Review

Information Quality Frameworks for Digital Health Technologies: Systematic Review

For instance, a patient in the United Kingdom experienced a life-threatening allergic reaction following a medication error because of inaccessible allergy information in the EHR [6]. IQ refers to the extent to which information is fit for a specific purpose [10,11]. IQ is multidimensional, with each dimension describing a unique aspect of information [10,12].

Kayode Philip Fadahunsi, Siobhan O'Connor, James Tosin Akinlua, Petra A Wark, Joseph Gallagher, Christopher Carroll, Josip Car, Azeem Majeed, John O'Donoghue

J Med Internet Res 2021;23(5):e23479

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

It is generally agreed that a certain level of engagement is necessary for intervention effectiveness. However, there is a lack of clarity on how to conceptualize engagement. Some researchers have defined engagement solely as a psychological process relating to user perceptions and experience, whereas others consider engagement a purely behavioral construct, synonymous with intervention usage [4,7].

Camille E Elizabeth Short, Ann DeSmet, Catherine Woods, Susan L Williams, Carol Maher, Anouk Middelweerd, Andre Matthias Müller, Petra A Wark, Corneel Vandelanotte, Louise Poppe, Melanie D Hingle, Rik Crutzen

J Med Internet Res 2018;20(11):e292

Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis

Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis

New technologies have been put forward as a cost-effective means to deliver behavioral health interventions and, as a result, prevent noncommunicable diseases (NCD) [9-12]. This is conceivable considering that the availability and personal use of information and communication technologies has increased significantly over the last two decades. Currently, 95% of the world population is covered by a mobile-cellular network and 84% is covered by a mobile-broadband network [13].

Andre Matthias Matthias Müller, Carol A Maher, Corneel Vandelanotte, Melanie Hingle, Anouk Middelweerd, Michael L Lopez, Ann DeSmet, Camille E Short, Nicole Nathan, Melinda J Hutchesson, Louise Poppe, Catherine B Woods, Susan L Williams, Petra A Wark

J Med Internet Res 2018;20(4):e122