Results 201 to 210 of about 16,324 (306)

Behavioural nudges to reduce low-value care for low back pain in the emergency department (NUDG-ED): a 2 × 2 factorial, pragmatic cluster randomized trial. [PDF]

open access: yesCMAJ
Altinger G   +22 more
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin   +5 more
wiley   +1 more source

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial. [PDF]

open access: yesJMIR Res Protoc
Gellad WF   +15 more
europepmc   +1 more source

Sleep‐trackers in the wild: A faceted taxonomy for information and interaction design

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Consumer‐grade sleep‐tracking technologies (CSTs) have brought sleep into everyday data practices, reframing it from a clinical concern into a site of personal optimization and reflection. Yet existing taxonomies of sleep‐tracking often medicalize users and overlook the complexity of sleep‐tracking technologies. This paper presents SleepTax, a
Sanonda Datta Gupta   +2 more
wiley   +1 more source

Promoting adherence to weight-related behaviors in young adults: Design of the Nudge microrandomized trial. [PDF]

open access: yesContemp Clin Trials
Valle CG   +7 more
europepmc   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source

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