Artificial intelligence and precision health through lenses of ethics and social determinants of health: Protocol for a state-of-the-art literature review

Background: Precision health is a rapidly developing field, largely driven by the development of artificial intelligence (AI)–related solutions. AI facilitates complex analysis of numerous health data risk assessment, early detection of disease, and initiation of timely preventative health interventions that can be highly tailored to the individual. Despite such promise, ethical concerns arising from the rapid development and use of AI-related technologies have led to development of national and international frameworks to address responsible use of AI. Objective: We aimed to address research gaps and provide new knowledge regarding (1) examples of existing AI applications and what role they play regarding precision health, (2) what salient features can be used to categorize them, (3) what evidence exists for their effects on precision health outcomes, (4) how do these AI applications comply with established ethical and responsible framework, and (5) how these AI applications address equity and social determinants of health (SDOH). Methods: This protocol delineates a state-of-the-art literature review of novel AI-based applications in precision health. Published and unpublished studies were retrieved from 6 electronic databases. Articles included in this study were from the inception of the databases to January 2023. The review will encompass applications that use AI as a primary or supporting system or method when primarily applied for precision health purposes in human populations. It includes any geographical location or setting, including the internet, community-based, and acute or clinical settings, reporting clinical, behavioral, and psychosocial outcomes, including detection-, diagnosis-, promotion-, prevention-, management-, and treatment-related outcomes. Results: This is step 1 toward a full state-of-the-art literature review with data analyses, results, and discussion of findings, which will also be published. The anticipated consequences on equity from the perspective of SDOH will be analyzed. Keyword cluster relationships and analyses will be visualized to indicate which research foci are leading the development of the field and where research gaps exist. Results will be presented based on the data analysis plan that includes primary analyses, visualization of sources, and secondary analyses. Implications for future research and person-centered public health will be discussed. Conclusions: Results from the review will potentially guide the continued development of AI applications, future research in reducing the knowledge gaps, and improvement of practice related to precision health. New insights regarding examples of existing AI applications, their salient features, their role regarding precision health, and the existing evidence that exists for their effects on precision health outcomes will be demonstrated. Additionally, a demonstration of how existing AI applications address equity and SDOH and comply with established ethical and responsible frameworks will be provided

Global impacts of Covid-19 on lifestyles and health and preparation preferences: an international survey of 30 countries

Background: The health area being greatest impacted by coronavirus disease 2019 (COVID-19) and residents' perspective to better prepare for future pandemic remain unknown. We aimed to assess and make cross-country and cross-region comparisons of the global impacts of COVID-19 and preparation preferences of pandemic. Methods: We recruited adults in 30 countries covering all World Health Organization (WHO) regions from July 2020 to August 2021. 5 Likert-point scales were used to measure their perceived change in 32 aspects due to COVID-19 (-2 = substantially reduced to 2 = substantially increased) and perceived importance of 13 preparations (1 = not important to 5 = extremely important). Samples were stratified by age and gender in the corresponding countries. Multidimensional preference analysis displays disparities between 30 countries, WHO regions, economic development levels, and COVID-19 severity levels. Results: 16 512 adults participated, with 10 351 females. Among 32 aspects of impact, the most affected were having a meal at home (mean (m) = 0.84, standard error (SE) = 0.01), cooking at home (m = 0.78, SE = 0.01), social activities (m = -0.68, SE = 0.01), duration of screen time (m = 0.67, SE = 0.01), and duration of sitting (m = 0.59, SE = 0.01). Alcohol (m = -0.36, SE = 0.01) and tobacco (m = -0.38, SE = 0.01) consumption declined moderately. Among 13 preparations, respondents rated medicine delivery (m = 3.50, SE = 0.01), getting prescribed medicine in a hospital visit / follow-up in a community pharmacy (m = 3.37, SE = 0.01), and online shopping (m = 3.33, SE = 0.02) as the most important. The multidimensional preference analysis showed the European Region, Region of the Americas, Western Pacific Region and countries with a high-income level or medium to high COVID-19 severity were more adversely impacted on sitting and screen time duration and social activities, whereas other regions and countries experienced more cooking and eating at home. Countries with a high-income level or medium to high COVID-19 severity reported higher perceived mental burden and emotional distress. Except for low- and lower-middle-income countries, medicine delivery was always prioritised. Conclusions: Global increasing sitting and screen time and limiting social activities deserve as much attention as mental health. Besides, the pandemic has ushered in a notable enhancement in lifestyle of home cooking and eating, while simultaneously reducing the consumption of tobacco and alcohol. A health care system and technological infrastructure that facilitate medicine delivery, medicine prescription, and online shopping are priorities for coping with future pandemics

ACCULTURATION, QUALITY OF LIFE AND COPING PROCESSES OF INTERNATIONAL NURSES WORKING IN A CONTEMPORARY MULTI-RACIAL SOCIETY

Ph.DDOCTOR OF PHILOSOPH

Job satisfaction, work environment and intention to leave among migrant nurses working in a publicly funded tertiary hospital

Aim(s) This study sought to explore the job satisfaction level of migrant nurses working in a multicultural society and, more specifically, the relationship between their job satisfaction levels, work environment, their intentions to leave and the predictors of their intentions to leave. Background Nursing shortages have led to the increasing trend of employing migrant nurses, which necessitated studies examining nurses’ migration. Evaluation A cross-sectional, correlational design using a stratified random sample was conducted on 495 migrant nurses working in a tertiary public-funded hospital in Singapore. Results The results showed that migrant nurses were satisfied with their jobs; with job satisfaction negatively correlated with work environment. Interestingly, pre-existing groups of Chinese migrant nurses did not help newly arrived Chinese migrant nurses to assimilate better. Predictors of migrant nurses’ intentions to leave included having supportive nurse managers and nursing practice environment. Conclusions The presence of a supportive work environment is essential to retain migrant nurses. Implications for nursing management Health administrators need to empower nursing managers with skills to implement career development plans as part of hospitals’ retention strategies for migrant nurses. Information should also be provided during recruitment campaigns to enable migrant nurses to make informed choices

Effects of online stigma-reduction programme for people experiencing mental health conditions: A systematic review and meta-analysis

10.1111/inm.12893INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING3051040-105

Experiences of nurses working in a triage area: An integrative review

Objectives: The aim of the study is to review the literature on the experiences of nurses working in triage within emergency departments in hospitals. Review method: This is an integrative review based on Cooper's five-stage framework. Data sources: Primary research articles published from January 2008 to January 2018 were identified from seven databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Cochrane, ProQuest, and Scopus. A manual search of the end references from the published studies was also conducted to ensure a comprehensive search. Review method: The included studies were evaluated independently by two authors based on the Joanna Briggs Institute appraisal checklist for Interpretive and Critical Research and Descriptive/Case Series to ensure methodological rigour and validity of the review. Results: The literature review included 35 articles; of which, 18 were qualitative studies, 13 were quantitative studies, and four were mixed-method studies. The findings from this review were categorised into three themes: (1) making judgement, (2) service delivery, and (3) effective communication. Conclusions: The results from the review suggest that triage is a complex process involving decisionmaking and interprofessional communication. Nurses need to make judgement, consider factors affecting service delivery, and engage in effective communication, which is central to triaging. Decisionmaking is contextual and requires judicious judgement. Effective communication with fellow healthcare personnel and with patients and their caregivers is paramount to optimise care delivery. Finally, more support is needed to empower the nurses to cope with the work involved in triaging

The impact of restorative green environment on mental health of big cities and the role of mental health professionals

10.1097/yco.0000000000000778Current Opinion in PsychiatryPublish Ahead of Prin