Cin-Computers Informatics Nursing最新文献

This study aimed to identify the end-of-life care provided to patients admitted to a ward using electronic nursing records standardized with SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) and to analyze changes in end-of-life care before and during the COVID-19 pandemic. The study setting was oncology or hematology-oncology wards in a tertiary care hospital. A total of 161 069 nursing statements for 600 patients before COVID-19, admitted from January 2018 to December 2019, and 110 333 nursing statements for 454 patients during COVID-19, admitted from January 2020 to December 2021, were extracted from the clinical data warehouse of the study hospital. We mapped 427 unique nursing statements to SNOMED CT. The differences in the number of SNOMED CT concepts among the three groups-patients before COVID-19, patients without COVID-19 during COVID-19, and patients with COVID-19 during COVID-19-were analyzed using analysis of variance. "Acute pain," "Patient on oxygen," "Notification of physician," "Oxygenation monitoring," and "Pain assessment" were recorded most frequently. The frequency of nursing statements related to oxygenation was significantly lower in patients without COVID-19 during the COVID-19 pandemic compared with patients before COVID-19. Nursing statements pertaining to emotional or spiritual care appeared to be underrepresented in both the nursing assessment/outcome and nursing intervention domains. Our study showed that the standardized nursing records can be used as a source of information to explore changes in end-of-life care before and during the COVID-19 pandemic.

Mobile health applications are increasingly acknowledged as effective instruments for enhancing self-management among individuals with diabetes. However, despite their potential, the extent of their global usage among this population remains unclear. To better understand this, we conducted a systematic review of existing studies to explore the worldwide usage of mobile health applications by this population and to identify factors that influence their usage. A total of 33 studies, involving 15 181 subjects, were analyzed. The findings indicated that, across the studies reviewed, the utilization rate of mobile health applications among individuals with diabetes was 25% (95% confidence interval, 20%-31%). Subgroup analyses demonstrated that country, education level, type of diabetes, mode of insulin delivery, and frequency of blood glucose monitoring influence the utilization rates of mobile health applications by this demographic. In addition, qualitative studies indicated that barriers to utilization, usability issues, the need for personalization, and social and infrastructure support also influence the use of mobile health applications by individuals with diabetes. In light of these influencing factors, policymakers, healthcare providers, and mobile health application developers should collaborate to develop effective strategies to increase the utilization rates of mobile health applications and improve diabetes management.

Patient portals have the potential to increase patients' engagement in self-care and improve health outcomes. However, limited research exists on patient portal usage among Korean Americans, especially those with chronic conditions. This study aimed to assess patient portal usage among Korean Americans and compare utilization between those with and without chronic health conditions. We developed a survey by adapting relevant items from the Health Information National Trend Survey, followed by standardized translation into Korean and validation. A survey was then conducted with 522 Korean Americans 40 years or older residing in the United States. Among them, 50.8% had chronic conditions, yet only 40.3% used their patient portals in the past year. No difference in patient portal usage was found between those with and without chronic diseases. Those who were younger and with higher education, higher income, and advanced English proficiency were more likely to use patient portals, compared with their counterparts. Awareness of core patient portal features was low. Healthcare providers' encouragement to use it (adjusted odds ratio, 12.97; 95% confidence interval, 6.85-24.55) was the strongest predictor of patient portal use. These findings emphasize the need for culturally competent interventions aimed at improving self-care by enhancing patient portal utilization among Korean Americans with chronic conditions.

Given the significant global burden of congenital heart disease, there is an urgent need for innovative solutions to support and educate parents facing this challenge. This study aimed to construct and validate a virtual reality software, called CardioVR, to support congenital heart disease counseling. The process involved collaboration with 18 experts and 30 parents in three carefully managed stages, closely following the rigorous criteria outlined in the International Organization for Standardization/International Electrotechnical Commission 25010 standards. Remarkably, CardioVR achieved a remarkable content validity coefficient of 0.91 and exceeded the International Organization for Standardization/International Electrotechnical Commission criteria with more than 70% consensus. It excelled in key areas such as organization, clarity, visual appeal, self-efficacy enhancement, cultural appropriateness, and effectiveness. In addition, the System Usability Scale evaluation yielded a commendable score of 73.3%, confirming its ease of use and comprehension. The CardioVR software was considered valid and appropriate by experts and the target audience and can be used in the future as a support instrument for healthcare professionals assisting parents and caregivers of children with congenital heart diseases.

The majority of patients with cancer tend to seek health-related information via the Internet. This descriptive and cross-sectional study aims to determine e-health literacy, cyberchondria levels, and affecting factors in patients with cancer. The population of the study consisted of 113 patients who were older than 18 years, with no sensory loss that could hinder their communication, literate in Turkish language, who were conscious, actively used the Internet, and visited a university hospital's oncology and hematology polyclinic. In the multiple regression analysis examining the E-Health Literacy Scale total score according to sociodemographic and other characteristics, it was found that solitary complementary and alternative medicine explained 40.8% of the variance in the E-Health Literacy Scale score (adjusted R2 = 0.408, P < .001). Additionally, it was determined that medication use without a doctor's recommendation and the duration of daily Internet use together explained 22.3% of the variance in the score on the Cyberchondria Scale (adjusted R2 = 0.223, P < .001). Patients with cancer who develop better health literacy skills will be better equipped to navigate healthcare systems and alleviate their health-related worries.

Nurse burnout remains a significant problem affecting the nursing workforce today. However, despite calls for changes that could reduce clinician administrative burdens due to their relationship with burnout, minimal opportunities for improvement have been identified. Therefore, the purpose of this study was to investigate the relationship between nurse burnout and nurse satisfaction with the electronic health record (EHR). A cross-sectional survey was administered in 2018 to nurses practicing in the state of Alabama in the United States (N = 950). The survey inquired about participants' burnout, EHR satisfaction, and the nurse work environment. In multiple regression models, years of experience, nurse satisfaction with the EHR, and the nurse work environment explained 20%-34% of the variation in nurses' work-related burnout. Although additional research is needed, the EHR may be one actionable area that organizations could modify to help reduce nurse burnout.

Integrating technology into healthcare services has direct implications for the efficacy and performance of client care. In view of this, the aim was to identify the possibilities of using virtual reality glasses in healthcare. An integrative literature review was conducted in October 2024, searching in MEDLINE, LILACS, BDENF, Scopus, Web of Science, EMBASE, and Science Direct. Original articles were included without restriction on publication period or language, whereas duplicates and those not addressing the guiding question were excluded. The level of evidence was evaluated following Melnyk and Fineout-Overholt's method. Data were synthesized in tables, figures, and in narrative form. The 47 studies in the final sample were published between 2007 and 2024, with most conducted in Turkey and predominantly clinical trials. Various models of glasses were used, with VRBox being the most cited, and video interventions were prominent. Main focuses of use included areas such as rehabilitation, invasive procedures, preoperative care, obstetrics, examinations, dentistry, and wound care. The use of virtual reality glasses has proven effective for distraction, pain reduction, and anxiety management across various health domains. Experimental studies indicate a high level of scientific evidence, which is essential for evidence-based practices; however, more objective investigations are still needed.

Machine learning has the potential to drive the next generation of clinical decision support systems by identifying patterns in health data to enhance efficiency and safety. Explanatory information is intended to help clinicians understand the outputs of these complex systems. No studies have evaluated associations between display design strategies or nurse characteristics and nurse satisfaction with machine learning explanatory information. This gap leaves much unknown about designing explanatory displays that meet nurses' information needs, supporting effective use and adoption in practice settings. To address this, we aimed to describe nurses' satisfaction with explanatory information displays for machine learning clinical decision support, examine associations between the format and complexity of explanatory information and nurse satisfaction, and investigate the influence of nurse characteristics, such as numeracy and graphical literacy, on satisfaction. Our findings indicate that local feature-based explanatory information may not satisfy nurses' information needs, and that nurse age, artificial intelligence training level, and numeracy influence preferences. We found no significant effects of the format or complexity of explanatory displays on satisfaction. These insights into the usability of machine learning clinical decision support for nurses can inform the design of more effective displays.

Smartwatch wearables are a promising health information technology to monitor older adults with complex chronic care needs. Pilot and feasibility studies have assessed smartwatch use with community-dwelling older adults, but less is known about their use in nursing homes. The purpose of this study was to test the feasibility and acceptability of smartwatch technology in a real-world nursing home setting to generate initial evidence about potential use. Using a qualitative descriptive approach, we conducted a pilot feasibility and acceptability study of smartwatch technology: Phase 1, pretrial semistructured interviews and focus groups with nursing home leaders, staff, and residents/families; Phase 2, a 7-day smartwatch trial deployment with residents; and Phase 3, posttrial semistructured interviews and focus groups. Themes related to feasibility findings included a part of the workflow and making the technology work . Themes related to acceptability findings included it's everywhere anyway , how will you protect me , knowing how you really are , more information = more control , and knowing how they are doing . These findings have important implications for the design of technology-supported interventions incorporating these devices within the unique context of residential nursing homes to best meet the needs of older adult residents, families, and staff caretakers.