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Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback

Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback

measures (χ2=60.35, P<.001).Factors Associated With Clicking on the LinkLogistic regression analyses found that participants with previous poor mental health were less likely than those without such history to click on the link in the Symptoms measure (B=

Isabella Choi, David N Milne, Mark Deady, Rafael A Calvo, Samuel B Harvey, Nick Glozier

JMIR Ment Health 2018;5(2):e26


Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study

Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study

Harvey et al’s [7] model of psychosocial workplace risk factors highlights the complex relationship between work and the development of mental health problems as well as the potential for administering psychological interventions in the workplace.

Mark Deady, David Johnston, David Milne, Nick Glozier, Dorian Peters, Rafael Calvo, Samuel Harvey

JMIR Mhealth Uhealth 2018;6(12):e11661


Types and Frequency of Infusion Pump Alarms: Protocol for a Retrospective Data Analysis

Types and Frequency of Infusion Pump Alarms: Protocol for a Retrospective Data Analysis

/or modify infusion pump alarms while both reducing clinical staff alarm fatigue and maintaining patient safety.ObjectivesThe primary objective of this study is to establish baseline data related to the types and frequency of infusion pump alarms from the B.

Kevin R Glover, Rachel R Vitoux, Catherine Schuster, Christopher R Curtin

JMIR Res Protoc 2018;7(6):e10446


Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

(7.48)1866.71 (2,44657)<.001Modules started0.47a (0.83)1.64b (1.39)1.25c (1.27)517.99 (2,44657)<.001Modules completed0.10a (.47)0.81b (1.08)0.54c (.94)518.18 (2,44657)<.001Notifications3.19a (3.33)6.88b (4.19)6.41b (4.11)488.07 (2,44657)<.001a,b,

Samineh Sanatkar, Peter Andrew Baldwin, Kit Huckvale, Janine Clarke, Helen Christensen, Samuel Harvey, Judy Proudfoot

J Med Internet Res 2019;21(11):e14728


Adoption Factors of the Electronic Health Record: A Systematic Review

Adoption Factors of the Electronic Health Record: A Systematic Review

The Health Information Technology for Economic and Clinical Health (HITECH) Act was initiated in 2009 and, as described by Samuel (2014), implemented goals of “widespread” adoption of Electronic Health Records (EHRs) that should realize nationwide savings in

Clemens Scott Kruse, Krysta Kothman, Keshia Anerobi, Lillian Abanaka

JMIR Med Inform 2016;4(2):e19