A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What's Next?

Background: Integrating Artificial Intelligence (AI) into healthcare has transformed the landscape of patient care and healthcare delivery. Despite this, there remains a notable gap in the existing literature synthesizing the comprehensive understanding of AI's utilization in nursing care. Objective: This systematic review aims to synthesize the available evidence to comprehensively understand the application of AI in nursing care. Methods: Studies published between January 2019 and December 2023, identified through CINAHL Plus with Full Text, Web of Science, PubMed, and Medline, were included in this review. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines guided the identification, screening, exclusion, and inclusion of articles. The convergent integrated analysis framework, as proposed by the Joanna Briggs Institute, was employed to synthesize data from the included studies for theme generation. Results: A total of 337 records were identified from databases. Among them, 35 duplicates were removed, and 302 records underwent eligibility screening. After applying inclusion and exclusion criteria, eleven studies were deemed eligible and included in this review. Through data synthesis of these studies, six themes pertaining to the use of AI in nursing care were identified: 1) Risk Identification, 2) Health Assessment, 3) Patient Classification, 4) Research Development, 5) Improved Care Delivery and Medical Records, and 6) Developing a Nursing Care Plan. Conclusion: This systematic review contributes valuable insights into the multifaceted applications of AI in nursing care. Through the synthesis of data from the included studies, six distinct themes emerged. These findings not only consolidate the current knowledge base but also underscore the diverse ways in which AI is shaping and improving nursing care practices.

Antibiotic Knowledge, Antibiotic Resistance Knowledge, and Antibiotic Use: A Cross-Sectional Study among Community Members of Bangkok in Thailand.

This study aimed to explore antibiotic knowledge, antibiotic resistance knowledge, and antibiotic use among adults in Bangkok, Thailand. This is a secondary analysis of cross-sectional data generated from a sample of 161 individuals living in Bangkok. Participants completed an online self-administered questionnaire developed by the World Health Organization. Descriptive analysis, the chi-square test, and multiple logistic regression analyses were performed. The sample comprised more females (56.5%) than males (42.2%). The majority of responders (67.7%) were between the ages of 18 and 40. More than half of the respondents mistakenly believed that antibiotics could treat colds and flu (54.7% and 47.2%, respectively). About 54.7% were aware that antibiotic resistance could harm them and their families. The chi-square test results showed that the levels of education were associated with antibiotic knowledge (p = 0.012), antibiotic resistance knowledge (p < 0.001), and antibiotic use (p = 0.023). Multiple logistic regressions showed that respondents with at least a bachelor's degree or higher had better knowledge of antibiotics. Respondents who worked in the profession had better knowledge of antibiotic resistance. Respondents with sufficient incomes were more likely to use antibiotics. Baseline data from the study will be useful in antibiotic stewardship and public health campaigns among Bangkok residents.

How does the COVID-19 pandemic impact medication adherence of patients with chronic disease?: A systematic review.

OBJECTIVE: To determine how the COVID-19 pandemic impacts patients with chronic disease medication adherence. METHODS: Four electronic databases, PubMed, MEDLINE, Web of Science, and CINAHL Plus Full Text, were searched for literature between 2019 and 2021. Abstracts and later full texts were independently screened by the authors of this review using inclusion and exclusion criteria to determine relevance to our study. Joanna Briggs Institute (JBI) critical appraisal tools were used to assess the quality of included texts. Relevant information and data from the included texts were extracted into tables for data synthesis and analysis. RESULTS: Ten studies met the study criteria, the most popular study design was cross-sectional design (n = 9, 90.0%), others were case series (n = 1, 10.0%). Barriers to medication adherence and facilitators of medication adherence were the major two themes that participants reported regarding the impact of COVID-19 on medication adherence. Moreover, these two main themes have been organized in sub-themes that are dealt with in-depth. DISCUSSION: Our results could heighten healthcare providers, stakeholders, and policy leaders' awareness of providing appropriate support for chronic disease patients, especially regarding medication adherence. Future research incorporating programs that support patients' needs is recommended.

How Socioeconomic, Health Seeking Behaviours, and Educational Factors Are Affecting the Knowledge and Use of Antibiotics in Four Different Cities in Asia.

Antibiotic resistance is occurring widely throughout the world and is affecting people of all ages. Socioeconomic factors, education, use of antibiotics, knowledge of antibiotics, and antibiotic resistance were assessed in four cities in Asia, namely Hong Kong, Shanghai, Hangzhou, and Bangkok. A survey using cluster sampling was used in 2021 to collect data on 642 subjects. Hongkongers used less antibiotics and were knowledgeable about using antibiotics to treat diseases, while Shanghainese were knowledgeable about antibiotic resistance. The multi-linear regression model reported that respondents who lived in Hong Kong (ß = 0.744 (95% CI: 0.36-1.128), Shanghai (ß = 1.65 (95% CI: 1.267-2.032), and Hangzhou (ß = 1.393 (95% CI: 0.011-1.775) (reference group: Bangkok), who had higher scores on antibiotics knowledge (ß = 0.161 (95% CI: 0.112-0.21)), higher educational attainment (ß = 0.46 (95% CI: 0.296-0.625)), and who were more likely to consult a doctor on using antibiotics (ß = 1.102 (95% CI: 0.606-1.598)), were more likely to give correct answers about antibiotic resistance, p < 0.001. Older respondents were less likely to answer the items correctly (ß = -0.194 (95% CI: -0.333--0.055), p < 0.01. When educating the public on the proper use of antibiotics and antibiotic resistance, multiple strategies could be considered for people from all walks of life, as well as target different age groups.

A pilot randomized clinical trial of a teamwork intervention for heart failure care dyads.

BACKGROUND: Dyadic heart failure (HF) management can improve outcomes for patients and caregivers and can be enhanced through eHealth interventions. OBJECTIVE: To evaluate the feasibility, acceptability, and preliminary efficacy of an eHealth dyadic teamwork intervention, compared to an attention control condition. METHODS: We recruited 29 HF patient-caregiver dyads from inpatient units and randomized dyads to an intervention or a control group. We calculated enrollment and retention rates, described acceptability using interview and questionnaire data, and computed intervention effect sizes. RESULTS: 37% of eligible dyads agreed to participate and 93% of randomized participants completed follow-up questionnaires. Participants found both study conditions to be acceptable. Between-group effect sizes suggested that the intervention led to improvements in relationship quality, self-efficacy, and quality of life for patients and caregivers. CONCLUSIONS: Dyadic recruitment from acute care settings is challenging. Findings provide initial evidence that our intervention can contribute to better health outcomes for HF dyads.

Caregiving Stress and Self-Rated Health during the COVID-19 Pandemic: The Mediating Role of Resourcefulness.

Family caregivers faced unprecedented circumstances and experienced increased levels of stress during the COVID-19 pandemic. Resourcefulness can minimize the effect of stress on health outcomes. The purpose of this study was to examine the associations between caregiving stress during the pandemic, resourcefulness, and self-rated health and assess the mediating effect of resourcefulness. A convenience sample of 70 family caregivers of adults with chronic and/or disabling conditions was recruited using social media groups and professional networking platforms. Data were collected using an online survey and analyzed using linear regression. Mediation analysis was conducted using the PROCESS macro. Higher levels of caregiving stress during the pandemic and lower levels of resourcefulness were associated with worse self-rated health, while controlling for age, employment status, and weekly caregiving hours. Resourcefulness mediated the relationship between caregiving stress and self-rated health. Our findings highlight the importance of assessing the psychological impact of the pandemic on family caregivers' outcomes. Resourcefulness skills can be targeted to improve the health and well-being of family caregivers during and beyond the pandemic.

Family Caregivers' Experiences and Changes in Caregiving Tasks During the COVID-19 Pandemic.

The purpose of this descriptive study was to describe family caregivers' experiences and changes in caregiving tasks and approaches during the COVID-19 pandemic. Using web-based strategies, 69 family caregivers of adults with chronic or disabling conditions were recruited and completed an online survey about positive and negative caregiving experiences, and ways in which caregiving has changed. Data were analyzed using descriptive statistics (structured questions) and conventional content analysis (open-ended responses). Participants reported concerns about their loved one's physical and mental health, the limited access to other caregiving sources, and the limited opportunities to maintain personal well-being. Caregiving tasks completed more than usual included providing emotional support, shopping for groceries and essentials, and contacting healthcare providers. Participants modified their caregiving approach by assuming added responsibilities, leveraging technology, and managing a new caregiving routine. Findings indicate that family caregivers experienced additional caregiving challenges and changed caregiving tasks considering the limited resources available.

Systematic Review of Technology-Based Interventions Targeting Chronically Ill Adults and Their Caregivers.

The purpose of this systematic review is to synthesize the study design features as well as the attributes and outcomes of technology-based health interventions targeting chronically ill adults and their family caregivers. Twenty papers representing 19 studies met the inclusion criteria. Various theoretical foundations or approaches guided the interventions in 11 studies. Interventions either aimed to support patient self-management and improve patient outcomes or enhance shared illness management and improve patient and caregiver outcomes. The interventions included educational, behavioral, and support components and were delivered using various technologies ranging from text messaging to using the Internet. Overall, patients and caregivers expressed improvements in self-management outcomes (or support) and quality of life. Interventions with a dyadic focus reported on interpersonal outcomes, with improvements noted mostly in patients. This review captures an emerging area of science, and findings should be interpreted in light of the methodological limitations of the included studies.