Cin-Computers Informatics Nursing最新文献

The number of health technology-based intervention studies has grown significantly. However, issues in the recruitment and retention for such studies, especially of Asian Americans, have rarely been discussed. The purpose of this paper was to discuss issues in the recruitment and retention of a specific group of Asian Americans-Korean American midlife women with depressive symptoms-into a technology-based intervention study using computers and mobile devices with a measurement device and to provide directions for future participant recruitment and retention in technology-based intervention studies. The written memos of research team members and the written records of research team meetings were analyzed using a content analysis. The issues in the recruitment and retention process included (1) low recruitment and retention rates; (2) the perceived long intervention period; (3) strict inclusion/exclusion criteria; (4) concerns related to the use of a measurement device; and (5) the perceived adequacy of monetary incentives. Based on the issues identified in the study, several suggestions are made for future recruitment and retention of racial/ethnic minorities in technology-based intervention studies (eg, appropriate intervention period, innovative and creative motivation strategies, acceptable measurement scales and devices, and adequate monetary reimbursement).

To date, symptom documentation has mostly relied on clinical notes in electronic health records or patient-reported outcomes using disease-specific symptom inventories. To provide a common and precise language for symptom recording, assessment, and research, a comprehensive list of symptom codes is needed. The International Classification of Diseases, Ninth Revision or its clinical modification ( International Classification of Diseases, Ninth Revision, Clinical Modification ) has a range of codes designated for symptoms, but it does not contain codes for all possible symptoms, and not all codes in that range are symptom related. This study aimed to identify and categorize the first list of International Classification of Diseases, Ninth Revision, Clinical Modification symptom codes for a general population and demonstrate their use to characterize symptoms of patients with type 2 diabetes mellitus in the Cerner database. A list of potential symptom codes was automatically extracted from the Unified Medical Language System Metathesaurus. Two clinical experts in symptom science and diabetes manually reviewed this list to identify and categorize codes as symptoms. A total of 1888 International Classification of Diseases, Ninth Revision, Clinical Modification symptom codes were identified and categorized into 65 categories. The symptom characterization using the newly obtained symptom codes and categories was found to be more reasonable than that using the previous symptom codes and categories on the same Cerner diabetes cohort.

Heart disease can lead to physical disability and mortality, ranking second among the top 10 causes of death according to the Ministry of Health and Welfare. This study aims to examine the impact of the interactive assessment application on patients' public health knowledge. In this study, a single-group pretest and posttest experimental design was adopted. Thirty-six hospitalized patients diagnosed with heart failure participated in the pretest and posttest assessments. The findings demonstrate that the developed application led to an increase in the number of recorded physiological measurements, effectively enabling patients to manage their blood pressure. The heart failure self-management application was observed to improve patients' understanding and awareness of heart failure disease, improving their self-management skills.

This study aimed to investigate the association between Korean adults' electronic health literacy and active participation in health decision-making while communicating with healthcare providers. A total of 421 adults 18 years and older were recruited from a survey panel developed by a survey company and completed an online survey asking about individual characteristics and electronic health literacy. Data were analyzed using descriptive statistics, independent-samples t tests, analysis of variance, and binomial logistic regression analysis. In results, for every one-unit increase in electronic health literacy, the rate of active participation in health decision-making was likely to increase by 3.62 times compared with the rate of passive participation in health decision-making. It was also likely to increase in those with a college degree or higher, those who used both Web sites and YouTube, those who perceived online health information to be useful, those who actively participated as a patient, and those with a desire to actively participate as a patient. To encourage active participation in health-related situations or decision-making processes, educational programs or interventions to improve individuals' electronic health literacy are needed. Healthcare providers must ensure that individuals feel comfortable expressing their preferences, needs, and values.

Unplanned readmission endangers patient safety and increases unnecessary healthcare expenditure. Identifying nursing variables that predict patient readmissions can aid nurses in providing timely nursing interventions that help patients avoid readmission after discharge. We aimed to provide an overview of the nursing variables predicting readmission of patients with a high risk. The authors searched five databases-PubMed, CINAHL, EMBASE, Cochrane Library, and Scopus-for publications from inception to April 2023. Search terms included "readmission" and "nursing records." Eight studies were included for review. Nursing variables were classified into three categories-specifically, nursing assessment, nursing diagnosis, and nursing intervention. The nursing assessment category comprised 75% of the nursing variables; the proportions of the nursing diagnosis (25%) and nursing intervention categories (12.5%) were relatively low. Although most variables of the nursing assessment category focused on the patients' physical aspect, emotional and social aspects were also considered. This study demonstrated how nursing care contributes to patients' adverse outcomes. The findings can assist nurses in identifying the essential nursing assessment, diagnosis, and interventions, which should be provided from the time of patients' admission. This can mitigate preventable readmissions of patients with a high risk and facilitate their safe transition from an acute care setting to the community.

This study shows the development of a software for calculating the number of nursing team members required for providing care during the coronavirus disease 2019 pandemic. Study about the development of a technology based on the literature about data and indicators. The indicators were systematized in the following dimensions: institutional, professional, and occupational structure, all with a focus on coronavirus disease 2019. The software was created to be used on the Web, client-server, in browsers such as Internet Chrome, Explorer, and/or Mozilla Firefox, accessing via an Internet address and also allowing access by Windows, Android, and Linux operating systems, with MySQL database used for data storage. The data and indicators related to the institutional structure for coronavirus disease 2019 were systematized with 10 dimensions and indicators, and the professional and occupational structure, with 14 dimensions and indicators. The construction of computer requirements followed the precepts of software engineering, with theoretical support from the area. In the evaluation of the software, data simulation revealed points that had to be adjusted to ensure security, data confidentiality, and easy handling. The software provides to calculate the size and quality of the team, nursing sizing required due to the needs generated by the coronavirus disease 2019 pandemic.

Operations management of a hospital unit is a shared activity involving nursing and medical professionals, characterized by suddenly changing situations, constant interruptions, and ad hoc decision-making. Previous studies have explored the informational needs affecting decision-making, but only limited information has been collected regarding factors affecting information management related to the daily operations of hospital units. The aim of this study was to describe the experiences of nursing and medical professionals of information management in the daily operations of hospital units. This qualitative study consists of interviews following the critical incidence technique. Twenty-six nurses and eight physicians working in operational leadership roles in hospital units were interviewed, and the data were subjected to thematic analysis. The data analysis showed that strengths of current systems were organizational operational procedures, general instruments supporting information management, and a digital operations dashboard, whereas opportunities for improvement included the information architecture, quality of information, and technology use. The study findings highlight that despite several decades of efforts to provide solutions to support information management in hospital daily operations, further measures need to be taken in developing and implementing information systems with user-centered strategies and systematic approaches to better support healthcare professionals.

This study aimed to determine what childbearing women want when using virtual reality as an intrapartum pain management method. Researchers performed a qualitative exploratory study using content analysis. Two focus groups were organized including pregnant women anticipating a vaginal birth and women who recently had given birth, no longer than 6 months ago. The focus groups included a 30-minute virtual reality demo. In total, 10 women participated. Five themes emerged: (1) "try, test and explore": the need to receive information and to get acquainted with virtual reality during the antenatal period; (2) "variety and diversity in physical and digital options": the preference for a variety in virtual content and view virtual reality as a complementary method to methods for intrapartum pain management; (3) "distraction versus focus": virtual reality as a method to distract from pain, from the clinical context or to help them focus; (4) "comfort both physical and digital": measures to ensure a comfortable physical and virtual experience; and (5) "birthing partner": the potential need to include partners. This study is an essential step informing the development, implementation, and research of labor-specific virtual reality and informing antenatal healthcare providers when offering women virtual reality as intrapartum pain management.