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  • BMJ  (2)
  • da Veiga, Claudimar Pereira  (2)
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  • BMJ  (2)
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  • 1
    In: BMJ Open, BMJ, Vol. 11, No. 12 ( 2021-11), p. e056142-
    Kurzfassung: A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. Methods and analysis Databases including the PubMed, PsycINFO, CINAHL and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between 1 January 2010 to 30 September 2021. Titles, abstracts and full-text papers will be reviewed against the eligibility criteria. The Cochrane Collaboration evaluation framework will be adopted to examine the risk of bias of the included study. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process and implications for existing interventions and research evaluated by a multidisciplinary research team. Ethics and dissemination As the study is a protocol for a systematic review, ethical approval is not required. The study findings will be disseminated via peer-reviewed publications and conference presentations. Trial registration number CRD 42020191880.
    Materialart: Online-Ressource
    ISSN: 2044-6055 , 2044-6055
    Sprache: Englisch
    Verlag: BMJ
    Publikationsdatum: 2021
    ZDB Id: 2599832-8
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    BMJ ; 2022
    In:  Journal of Medical Ethics Vol. 48, No. 12 ( 2022-12), p. 1058-1059
    In: Journal of Medical Ethics, BMJ, Vol. 48, No. 12 ( 2022-12), p. 1058-1059
    Kurzfassung: Although the prevalence of facial recognition-based COVID-19 surveillance tools and techniques, China does not have a facial recognition law to protect its residents’ facial data. Oftentimes, neither the public nor the government knows where people’s facial images are stored, how they have been used, who might use or misuse them, and to what extent. This reality is alarming, particularly factoring in the wide range of unintended consequences already caused by good-intentioned measures and mandates amid the pandemic. Biometric data are matters of personal rights and national security. In light of worrisome technologies such as deep-fake pornography, the protection of biometric data is also central to the protection of the dignity of the citizens and the government, if not the industry as well. This paper discusses the urgent need for the Chinese government to establish rigorous and timely facial recognition laws to protect the public’s privacy, security, and dignity amid COVID-19 and beyond.
    Materialart: Online-Ressource
    ISSN: 0306-6800 , 1473-4257
    RVK:
    Sprache: Englisch
    Verlag: BMJ
    Publikationsdatum: 2022
    ZDB Id: 2026397-1
    SSG: 0
    SSG: 1
    SSG: 5,1
    Standort Signatur Einschränkungen Verfügbarkeit
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