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  1. Article ; Online: Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units: A Multicenter Retrospective Study.

    Kamboj, Navpreet / Metcalfe, Kelly / Chu, Charlene H / Conway, Aaron

    Computers, informatics, nursing : CIN

    2024  Volume 42, Issue 4, Page(s) 259–266

    Abstract: Critical care nurses use physiological indicators, such as blood pressure, to guide their decision-making regarding the titration of nitroglycerin infusions. A retrospective study was conducted to determine the accuracy of systolic blood pressure ... ...

    Abstract Critical care nurses use physiological indicators, such as blood pressure, to guide their decision-making regarding the titration of nitroglycerin infusions. A retrospective study was conducted to determine the accuracy of systolic blood pressure predictions during nitroglycerin infusions. Data were extracted from the publicly accessible eICU program database. The accuracy of a linear model, least absolute shrinkage and selection operator, ridge regression, and a stacked ensemble model trained using the AutoGluon-Tabular framework were investigated. A persistence model, where the future value in a time series is predicted as equal to its preceding value, was used as the baseline comparison for model accuracy. Internal-external validation was used to examine if heterogeneity among hospitals could contribute to model performance. The sample consisted of 827 patients and 2541 nitroglycerin dose titrations with corresponding systolic blood pressure measurements. The root-mean-square error on the test set for the stacked ensemble model developed using the AutoGluon-Tabular framework was the lowest of all models at 15.3 mm Hg, equating to a 22% improvement against the baseline. Internal-external validation revealed consistent accuracy across hospitals. Further studies are needed to determine the impact of using systolic blood pressure predictions to inform nurses' clinical decision-making regarding nitroglycerin infusion titration in critical care.
    MeSH term(s) Humans ; Blood Pressure ; Nitroglycerin/therapeutic use ; Retrospective Studies ; Critical Care
    Chemical Substances Nitroglycerin (G59M7S0WS3)
    Language English
    Publishing date 2024-04-01
    Publishing country United States
    Document type Multicenter Study ; Journal Article
    ZDB-ID 2078463-6
    ISSN 1538-9774 ; 1538-2931
    ISSN (online) 1538-9774
    ISSN 1538-2931
    DOI 10.1097/CIN.0000000000001086
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  2. Article ; Online: The importance of instant impact: What matters to long-term care staff and residents about taking part in research?

    Brown, Laura J E / Fineczko, Julia / O'Neill, Bill / Geast, Morgan / Morton, Kala / Stanyon, David / Bharucha, Haniya / Chu, Charlene H

    Journal of the American Geriatrics Society

    2024  

    Language English
    Publishing date 2024-03-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80363-7
    ISSN 1532-5415 ; 0002-8614
    ISSN (online) 1532-5415
    ISSN 0002-8614
    DOI 10.1111/jgs.18886
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  3. Article ; Online: Now more than ever, nurses need to be involved in technology design: lessons from the COVID-19 pandemic.

    Dykes, Stephanie / Chu, Charlene H

    Journal of clinical nursing

    2020  Volume 30, Issue 7-8, Page(s) e25–e28

    MeSH term(s) COVID-19 ; Humans ; Nurses ; Technology
    Language English
    Publishing date 2020-12-16
    Publishing country England
    Document type Editorial
    ZDB-ID 1159483-4
    ISSN 1365-2702 ; 0962-1067 ; 1752-9816
    ISSN (online) 1365-2702
    ISSN 0962-1067 ; 1752-9816
    DOI 10.1111/jocn.15581
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  4. Article ; Online: Poor and Lost Connections: Essential Family Caregivers' Experiences Using Technology with Family Living in Long-Term Care Homes during COVID-19.

    Chu, Charlene H / Yee, Amanda / Stamatopoulos, Vivian

    Journal of applied gerontology : the official journal of the Southern Gerontological Society

    2022  Volume 41, Issue 6, Page(s) 1547–1556

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) COVID-19 ; Canada ; Caregivers ; Humans ; Long-Term Care ; Nursing Homes ; Technology
    Language English
    Publishing date 2022-04-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 155897-3
    ISSN 1552-4523 ; 0733-4648
    ISSN (online) 1552-4523
    ISSN 0733-4648
    DOI 10.1177/07334648221081850
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  5. Article ; Online: User Perception of Smart Home Surveillance Among Adults Aged 50 Years and Older: Scoping Review.

    Percy Campbell, Jessica / Buchan, Jacob / Chu, Charlene H / Bianchi, Andria / Hoey, Jesse / Khan, Shehroz S

    JMIR mHealth and uHealth

    2024  Volume 12, Page(s) e48526

    Abstract: Background: Smart home technology (SHT) can be useful for aging in place or health-related purposes. However, surveillance studies have highlighted ethical issues with SHTs, including user privacy, security, and autonomy.: Objective: As digital ... ...

    Abstract Background: Smart home technology (SHT) can be useful for aging in place or health-related purposes. However, surveillance studies have highlighted ethical issues with SHTs, including user privacy, security, and autonomy.
    Objective: As digital technology is most often designed for younger adults, this review summarizes perceptions of SHTs among users aged 50 years and older to explore their understanding of privacy, the purpose of data collection, risks and benefits, and safety.
    Methods: Through an integrative review, we explored community-dwelling adults' (aged 50 years and older) perceptions of SHTs based on research questions under 4 nonmutually exclusive themes: privacy, the purpose of data collection, risk and benefits, and safety. We searched 1860 titles and abstracts from Ovid MEDLINE, Ovid Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, Scopus, Web of Science Core Collection, and IEEE Xplore or IET Electronic Library, resulting in 15 included studies.
    Results: The 15 studies explored user perception of smart speakers, motion sensors, or home monitoring systems. A total of 13 (87%) studies discussed user privacy concerns regarding data collection and access. A total of 4 (27%) studies explored user knowledge of data collection purposes, 7 (47%) studies featured risk-related concerns such as data breaches and third-party misuse alongside benefits such as convenience, and 9 (60%) studies reported user enthusiasm about the potential for home safety.
    Conclusions: Due to the growing size of aging populations and advances in technological capabilities, regulators and designers should focus on user concerns by supporting higher levels of agency regarding data collection, use, and disclosure and by bolstering organizational accountability. This way, relevant privacy regulation and SHT design can better support user safety while diminishing potential risks to privacy, security, autonomy, or discriminatory outcomes.
    MeSH term(s) Aged ; Humans ; Middle Aged ; Independent Living ; Perception ; Privacy ; Technology
    Language English
    Publishing date 2024-02-09
    Publishing country Canada
    Document type Journal Article ; Review
    ZDB-ID 2719220-9
    ISSN 2291-5222 ; 2291-5222
    ISSN (online) 2291-5222
    ISSN 2291-5222
    DOI 10.2196/48526
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  6. Article ; Online: Prompt engineering when using generative AI in nursing education.

    O'Connor, Siobhan / Peltonen, Laura-Maria / Topaz, Maxim / Chen, Lu-Yen Anny / Michalowski, Martin / Ronquillo, Charlene / Stiglic, Gregor / Chu, Charlene H / Hui, Vivian / Denis-Lalonde, Dominique

    Nurse education in practice

    2023  Volume 74, Page(s) 103825

    MeSH term(s) Education, Nursing ; Artificial Intelligence
    Language English
    Publishing date 2023-11-01
    Publishing country Scotland
    Document type Editorial
    ZDB-ID 2058575-5
    ISSN 1873-5223 ; 1471-5953
    ISSN (online) 1873-5223
    ISSN 1471-5953
    DOI 10.1016/j.nepr.2023.103825
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    Zs.A 5492: Show issues Location:
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  7. Article: A New Age of Health Promotion: The Use of Digital Infographics in Nursing Education.

    Chu, Charlene H / Jibb, Lindsay A / MacInnes, Neal / Beekhoo, Zoraida D

    Nursing education perspectives

    2023  

    Abstract: Abstract: The COVID-19 pandemic has shifted how nursing education and information are delivered, with many classes being moved to an online platform. This opened opportunities to find creative ways to engage students. As a result, an entirely online ... ...

    Abstract Abstract: The COVID-19 pandemic has shifted how nursing education and information are delivered, with many classes being moved to an online platform. This opened opportunities to find creative ways to engage students. As a result, an entirely online infographic assignment for final-year baccalaureate nursing students was created. The focus of this assignment was to engage students to identify important health issues, consider multilevel solutions, and communicate information to relevant stakeholders using visual storytelling for maximum impact.
    Language English
    Publishing date 2023-05-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2075410-3
    ISSN 1943-4685 ; 1536-5026
    ISSN (online) 1943-4685
    ISSN 1536-5026
    DOI 10.1097/01.NEP.0000000000001142
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  8. Article ; Online: “It’s the worst thing I’ve ever been put through in my life”

    Charlene H. Chu / Amanda V. Yee / Vivian Stamatopoulos

    International Journal of Qualitative Studies on Health & Well-Being, Vol 17, Iss

    the trauma experienced by essential family caregivers of loved ones in long-term care during the COVID-19 pandemic in Canada

    2022  Volume 1

    Abstract: Background Essential family caregivers (EFCs) of relatives living in long-term care homes (LTCHs) experienced restricted access to their relatives due to COVID-19 visitation policies. Residents’ experiences of separation have been widely documented; yet, ...

    Abstract Background Essential family caregivers (EFCs) of relatives living in long-term care homes (LTCHs) experienced restricted access to their relatives due to COVID-19 visitation policies. Residents’ experiences of separation have been widely documented; yet, few have focused on EFCs’ traumatic experiences during the pandemic. Objective: This study aims to explore the EFCs’ trauma of being locked out of LTCHs and unable to visit their loved ones in-person during COVID-19. Methods Seven online focus groups with a total of 30 EFCs from Ontario and British Columbia, Canada were conducted as part of a larger mixed-method study. We used an inductive approach to thematic analysis to understand the lived experiences of trauma. Results Four trauma-related themes emerged: 1) trauma from prolonged separation from loved ones; 2) trauma from uncompassionate interactions with the LTCH’s staff and administrators; 3) trauma from the inability to provide care to loved ones, and 4) trauma from experiencing prolonged powerlessness and helplessness. Discussion The EFCs experienced a collective trauma that deeply impacted their relationships with their relatives as well as their perception of the LTC system. Experiences endured by EFCs highlighted policy and practice changes, including the need for trauma-centred approaches to repair relational damage and post-pandemic decision-making that collaborates with EFCs.
    Keywords covid-19 ; essential family caregivers ; focus groups ; long-term care home ; nursing homes ; trauma ; Medicine (General) ; R5-920
    Subject code 360
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: "It's the worst thing I've ever been put through in my life": the trauma experienced by essential family caregivers of loved ones in long-term care during the COVID-19 pandemic in Canada.

    Chu, Charlene H / Yee, Amanda V / Stamatopoulos, Vivian

    International journal of qualitative studies on health and well-being

    2022  Volume 17, Issue 1, Page(s) 2075532

    Abstract: Background: Essential family caregivers (EFCs) of relatives living in long-term care homes (LTCHs) experienced restricted access to their relatives due to COVID-19 visitation policies. Residents' experiences of separation have been widely documented; ... ...

    Abstract Background: Essential family caregivers (EFCs) of relatives living in long-term care homes (LTCHs) experienced restricted access to their relatives due to COVID-19 visitation policies. Residents' experiences of separation have been widely documented; yet, few have focused on EFCs' traumatic experiences during the pandemic. Objective: This study aims to explore the EFCs' trauma of being locked out of LTCHs and unable to visit their loved ones in-person during COVID-19.
    Methods: Seven online focus groups with a total of 30 EFCs from Ontario and British Columbia, Canada were conducted as part of a larger mixed-method study. We used an inductive approach to thematic analysis to understand the lived experiences of trauma.
    Results: Four trauma-related themes emerged: 1) trauma from prolonged separation from loved ones; 2) trauma from uncompassionate interactions with the LTCH's staff and administrators; 3) trauma from the inability to provide care to loved ones, and 4) trauma from experiencing prolonged powerlessness and helplessness.
    Discussion: The EFCs experienced a collective trauma that deeply impacted their relationships with their relatives as well as their perception of the LTC system. Experiences endured by EFCs highlighted policy and practice changes, including the need for trauma-centred approaches to repair relational damage and post-pandemic decision-making that collaborates with EFCs.
    MeSH term(s) COVID-19 ; Caregivers ; Humans ; Long-Term Care ; Ontario ; Pandemics
    Language English
    Publishing date 2022-05-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2232726-5
    ISSN 1748-2631 ; 1748-2623
    ISSN (online) 1748-2631
    ISSN 1748-2623
    DOI 10.1080/17482631.2022.2075532
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  10. Article ; Online: Evolving with technology: Machine learning as an opportunity for operating room nurses to improve surgical care-A commentary.

    Irani, Cameron S S / Chu, Charlene H

    Journal of nursing management

    2022  

    Abstract: Aims: To describe machine learning applications in an operating room setting, raise awareness of the lack of nursing inclusion on machine learning algorithm development, and show how operating room nurses can co-create this new technology.: Background! ...

    Abstract Aims: To describe machine learning applications in an operating room setting, raise awareness of the lack of nursing inclusion on machine learning algorithm development, and show how operating room nurses can co-create this new technology.
    Background: Operating room nurses and managers perform anticipatory work on a daily basis to manage intrinsic and extrinsic factors that can cause surgical delays.
    Evaluation: Recent literature on machine learning and its potential use in operating room settings was reviewed along with literature on the role of the nurse in co-creating novel technology.
    Key issue: Machine learning technology is rapidly evolving and being created for the operating room environment to improve patient safety and flow. Operating room nurses and managers are not being included in the development of machine learning algorithms, meaning products may be created that are not usable for all members of the surgical team.
    Conclusion: This commentary highlights the ways machine learning effectively assists nurses and nursing managers, suggesting a pathway forward for surgical nursing as co-creators and implementers.
    Implication for nursing management: Nursing managers will be exposed to machine learning programmes in the near future and need to understand the benefits they have for patient safety and patient flow.
    Language English
    Publishing date 2022-07-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1162321-4
    ISSN 1365-2834 ; 0966-0429
    ISSN (online) 1365-2834
    ISSN 0966-0429
    DOI 10.1111/jonm.13736
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