Ivy Yan Zhao

Dr. Ivy Yan Zhao

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 March 2023 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Yat Wa Justina LiuYat Wa Justina Liu
Yat Wa Justina Liu
YYYue-Heng Yin
Yue-Heng Yin
Patrick KorPatrick Kor
Patrick Kor
DCDaphne Sze Ki Cheung
Daphne Sze Ki Cheung
IZIvy Yan Zhao
Ivy Yan Zhao
ALAngela Yee Man Leung
Angela Yee Man Leung
Background: Immersive virtual reality (IVR) applications are gaining popularity in health care education. They provide an uninterrupted, scaled environment capable of simulating the full magnitude of sensory stimuli present in busy health care settings and increase students’ competence and confidence by providing them with accessible and repeatable learning opportunities in a fail-safe environment. Objective: This systematic review aimed to evaluate the effects of IVR teaching on the learning outcomes and experiences of undergraduate health care students compared with other teaching methods. Methods: MEDLINE, Embase, PubMed, and Scopus were searched (last search on May 2022) for randomized controlled trials (RCTs) or quasi-experimental studies published in English between January 2000 and March 2022. The inclusion criteria were studies involving undergraduate students majoring in health care, IVR teaching, and evaluations of students’ learning outcomes and experiences. The methodological validity of the studies was examined using the Joanna Briggs Institute standard critical appraisal instruments for RCTs or quasi-experimental studies. The findings were synthesized without a meta-analysis using vote counting as the synthesis metric. A binomial test with P<.05 was used to test for statistical significance using SPSS (version 28; IBM Corp). The overall quality of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation tool. Results: A total of 17 articles from 16 studies totaling 1787 participants conducted between 2007 and 2021 were included. The undergraduate students in the studies majored in medicine, nursing, rehabilitation, pharmacy, biomedicine, radiography, audiology, or stomatology. The IVR teaching domains included procedural training (13/16, 81%), anatomical knowledge (2/16, 12%), and orientation to the operating room setting (1/16, 6%). The quality of the 75% (12/16) of RCT studies was poor, with unclear descriptions of randomization, allocation concealment, and outcome assessor blinding procedures. The overall risk of bias was relatively low in the 25% (4/16) of quasi-experimental studies. A vote count showed that 60% (9/15; 95% CI 16.3%-67.7%; P=.61) of the studies identified similar learning outcomes between IVR teaching and other teaching approaches regardless of teaching domains. The vote count showed that 62% (8/13) of the studies favored using IVR as a teaching medium. The results of the binomial test (95% CI 34.9%-90%; P=.59) did not show a statistically significant difference. Low-level evidence was identified based on the Grading of Recommendations Assessment, Development, and Evaluation tool. Conclusions: This review found that undergraduate students had positive learning outcomes and experiences after engaging with IVR teaching, although the effects may be similar to those of other forms of virtual reality or conventional teaching methods. Given the identification of risk of bias and low level of the overall evidence, more studies with a larger sample size and robust study design are required to evaluate the effects of IVR teaching. Trial Registration: International prospective register of systematic reviews (PROSPERO) CRD42022313706; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=313706

22 December 2022 in Healthcare
Verified
Journal Article
Open access
PDF file
ALAngela Yee Man Leung
Angela Yee Man Leung
IZIvy Yan Zhao
Ivy Yan Zhao
SLShuanglan Lin
Shuanglan Lin
TLTerence K. Lau
Terence K. Lau
Background: Social robots have the potential to bring benefits to aged care. However, it is uncertain whether placing these robots in older people’s home is acceptable and whether human-robot interactions would occur or not. Methods: Four case studies were conducted to understand the experiences of older adults and family caregivers when humanoid social robot Ka Ka was placed in homes for two weeks. Results: Four older adults and three family caregivers were involved. Older adults interacted with the social robot Ka Ka every day during the study period. ‘Talking to Ka Ka’, ‘listening to music’, ‘using the calendar reminder’, and ‘listening to the weather report’ were the most commonly used features. Qualitative data reported the strengths of Ka Ka, such as providing emotional support to older adults living alone, diversifying their daily activities, and enhancing family relationships. The voice from Ka Ka (female, soft, and pleasing to the ear) was considered as ‘bringing a pleasant feeling’ to older adults. Conclusions: In order to support aging-in-place and fill the gaps of the intensified shortage of health and social manpower, it is of prime importance to develop reliable and age-friendly AI-based robotic services that meet the needs and preferences of older adults and caregivers.

20 October 2021 in Journal of Medical Internet Research
Verified
Journal Article
Open access
IZIvy Yan Zhao
Ivy Yan Zhao
YMYe Xuan Ma
Ye Xuan Ma
MYMan Wai Cecilia Yu
Man Wai Cecilia Yu
JLJia Liu
Jia Liu
WDWei Nan Dong
Wei Nan Dong
WWWilliam Chi Wai Wong
William Chi Wai Wong
Background: The COVID-19 pandemic has increased the importance of the deployment of digital detection surveillance systems to support early warning and monitoring of infectious diseases. These opportunities create a “double-edge sword,” as the ethical governance of such approaches often lags behind technological achievements. Objective: The aim was to investigate ethical issues identified from utilizing artificial intelligence–augmented surveillance or early warning systems to monitor and detect common or novel infectious disease outbreaks. Methods: In a number of databases, we searched relevant articles that addressed ethical issues of using artificial intelligence, digital surveillance systems, early warning systems, and/or big data analytics technology for detecting, monitoring, or tracing infectious diseases according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, and further identified and analyzed them with a theoretical framework. Results: This systematic review identified 29 articles presented in 6 major themes clustered under individual, organizational, and societal levels, including awareness of implementing digital surveillance, digital integrity, trust, privacy and confidentiality, civil rights, and governance. While these measures were understandable during a pandemic, the public had concerns about receiving inadequate information; unclear governance frameworks; and lack of privacy protection, data integrity, and autonomy when utilizing infectious disease digital surveillance. The barriers to engagement could widen existing health care disparities or digital divides by underrepresenting vulnerable and at-risk populations, and patients’ highly sensitive data, such as their movements and contacts, could be exposed to outside sources, impinging significantly upon basic human and civil rights. Conclusions: Our findings inform ethical considerations for service delivery models for medical practitioners and policymakers involved in the use of digital surveillance for infectious disease spread, and provide a basis for a global governance structure. Trial Registration: PROSPERO CRD42021259180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259180

16 November 2021 in Journal of Clinical Nursing
Verified
Journal Article
Closed access
PDF file
IZIvy Yan Zhao
Ivy Yan Zhao
Eleanor HolroydEleanor Holroyd
Eleanor Holroyd
Nicholas (Nick) GarrettNicholas (Nick) Garrett
Nicholas (Nick) Garrett
VCValerie A. Wright‐St Clair
Valerie A. Wright‐St Clair
SNStephen Neville
Stephen Neville

7 July 2022 in Australasian Journal on Ageing
Verified
Journal Article
Open access
Jed Ray Gengoba MontayreJed Ray Gengoba Montayre
Jed Ray Gengoba Montayre
Jann P FosterJann P Foster
Jann P Foster
IZIvy Yan Zhao
Ivy Yan Zhao
AKAriana Kong
Ariana Kong
ALAngela Yee Man Leung
Angela Yee Man Leung
SNStephen Neville
Stephen Neville
Objectives: In 2007, the World Health Organization published a guide on age‐friendly cities. However, little is known about interventions that have been implemented to promote age‐friendly communities in rural and remote areas. This paper presents the findings from a scoping review undertaken to locate available evidence of interventions, strategies, and programs that have been implemented in rural and remote areas to create age‐friendly communities.Methods: This scoping review used the Joanna Briggs Institute (JBI) methodology.Results: A total of 219 articles were included in this review. No intervention studies were referred to as ‘age‐friendly’. However, there were interventions (mostly healthcare‐related) that have been implemented in rural and remote areas with older people as participants. There were also non‐evaluated community programs that were published in the grey literature. This review identified the common health interventions in older people and the indirect relevance to the WHO age‐friendly framework domains in rural and remote contexts.Conclusions: The eight age‐friendly domains were not explicitly utilised as a guide in the development of interventions for older people in rural and remote settings. Implementation of age‐friendly interventions in rural and remote areas requires a multisectoral approach that is tailored to address the specific needs of individual communities. Age‐friendly interventions also need to consider socio‐ecological factors to adequately and holistically address community needs and ensure long‐term sustainability.

16 August 2024 in The Gerontologist
Verified
Journal Article
Closed access
PDF file
Jed Ray Gengoba MontayreJed Ray Gengoba Montayre
Jed Ray Gengoba Montayre
KKKay Kuo
Kay Kuo
KLKa Man Carman Leung
Ka Man Carman Leung
IZIvy Yan Zhao
Ivy Yan Zhao
Background and Objectives: Social frailty is an emerging concept characterized by state of vulnerability due to the lack or absence of social resources that enable health and well-being, particularly among older people. However, there is no consensus on how to accurately measure and assess social frailty, given the broad coverage of social dimensions affecting older individuals. This scoping review aimed to identify the existing tools and scales used to measure social frailty in older people. Research Design and Methods: A scoping review methodology was employed. Articles published between January 2014 and April 2024 were searched in 6 electronic databases: PubMed, PsycINFO, ProQuest, Scopus, SocIndex, and CINAHL. The scoping review followed a 5-stage process by Arksey and O’Malley and adhered to the guidelines provided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Results: Nine social frailty tools were identified across the 58 papers included in this review. The individual question item commonly used in the scales were classified into main categories based on their conceptual characteristics and intentions. The most common individual questionnaire constructs used to measure social frailty included financial status, social resources, social behaviors and activities, and sense of purpose. The reviewed tools varied in terms of their robustness and the process of scale development. Discussion and Implications: Our review suggested the development of a standardized, psychometrically tested, and accurate screening tool to screen social frailty status. An accurate social frailty assessment can inform the development of useful interventions, which also has implications in preventing the development of physical frailty.