Showing 141 - 160 results of 4,743 for search '((bears OR car) OR (((chers OR when) OR cheer) OR sheer))*', query time: 0.19s Refine Results
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    Determining optimal timing of birth for women with chronic or gestational hypertension at term: the WILL (When to Induce Labour to Limit risk in pregnancy hypertension) randomised trial by Magee, LA, Kirkham, K, Tohill, S, Gkini, E, Moakes, CA, Dorling, J, Green, M, Hutcheon, JA, Javed, M, Kigozi, J, Mol, BWM, Singer, J, Hardy, P, Stubbs, C, Thornton, JG, von Dadelszen, P, WILL Trial Study Group

    Published 2024
    “…A total of 403 participants (37.3% of target) were randomised to the intervention (n = 201) or control group (n = 202), from 3 June 2019 to 19 December 2022, when the funder stopped the trial for delayed recruitment. …”
    Journal article
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    Examining diabetes management apps recommended from a Google search : content analysis by Jimenez, Geronimo, Lum, Elaine, Car, Josip

    Published 2019
    “…Conclusions: The ambiguity of app selection and the wide variability in key features of the apps recommended for diabetes management may pose difficulties for patients when selecting the most appropriate app. It is critical to involve patients, clinicians, relevant professional bodies, and policy makers to define the key features an app should have for it to be classified as a “diabetes management” app. …”
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    Journal Article
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    Scope, characteristics, behavior change techniques, and quality of conversational agents for mental health and well-being: systematic assessment of apps by Lin, Xiaowen, Martinengo, Laura, Jabir, Ahmad Ishqi, Ho, Andy Hau Yan, Car, Josip, Atun, Rifat, Tudor Car, Lorainne

    Published 2023
    “…CA developers should consider the quality of information, user confidentiality, access, and emergency management when designing mental health CAs. Future research should assess the role of artificial intelligence in promoting behavior change within CAs and determine the choice of BCTs in evidence-based psychotherapies to enable systematic, consistent, and transparent development and evaluation of effective digital mental health interventions.…”
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    Journal Article
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