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As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arrest during their stay in the emergency department, using ensemble-based machine learning. A total of 26 013 patients from the Korean nationwide out-of-hospital cardiac arrest registry were enrolled between January 1 and December 31, 2019. Our model, comprising 38 variables, was developed using the Survival Quilts model to improve predictive performance. We found that changes in important variables of patients with out-of-hospital cardiac arrest were observed 10 minutes after arrival at the emergency department. The important score of the predictors showed that the influence of patient age decreased, moving from the highest rank to the fifth. In contrast, the significance of reperfusion attempts increased, moving from the fourth to the highest rank. Our research suggests that the ensemble-based machine learning model, particularly the Survival Quilts, offers a promising approach for predicting survival in patients with out-of-hospital cardiac arrest. The Survival Quilts model may potentially assist emergency department staff in making informed decisions quickly, reducing preventable deaths. Inpatients need to recognize their fall risk accurately and objectively. Nurses need to assess how patients perceive their fall risk and identify the factors that influence patients' fall risk perception.
This study aims to explore the congruency between nurses' fall risk assessment and patients' perception of fall risk and identify factors related to the non-congruency of fall risk.
A descriptive and cross-sectional design was used. The study enrolled 386 patients who were admitted to an acute care hospital. Six nurses assessed the participants' fall risk. Congruency was classified using the Morse Fall Scale for nurses and the Fall Risk Perception Questionnaire for patients.
The nurses' fall risk assessments and patients' fall risk perceptions were congruent in 57% of the participants. Underestimation of the patient's risk of falling was associated with gender (women), long hospitalization period, department (orthopedics), low fall efficacy, and history of falls before hospitalization. Overestimation of fall risk was associated with age group, gender (men), department, and a high health literacy score. In the multiple logistic regression, the factors related to the underestimation of fall risk were hospitalization period and department, and the factors related to the overestimation of fall risk were health literacy and department.
Nurses should consider the patient's perception of fall risk and incorporate it into fall prevention interventions.
Nurses need to evaluate whether patients perceive the risk of falling consistently. For patients who underestimate or overestimate their fall risk, it may be helpful to consider clinical and fall-related characteristics together when evaluating their perception of fall risk.
This study aimed to explore digital literacy among community-dwelling older adults in urban South Korea. A semistructured interview guide was developed using the Digital Competence ( 2.0 framework, which emphasizes the competencies for full digital participation in five categories: information and data literacy, communication and collaboration, content creation, safety, and problem-solving. The data were analyzed using combined inductive and deductive content analysis. Inductive analysis identified three main categories: perceived ability to use digital technology, responses to digital technology, and contextual factors. In the results of deductive analysis, participants reported varying abilities in using digital technologies for information and data literacy, communication or collaboration, and problem-solving. However, their abilities were limited in handling the safety or security of digital technology and lacked in creating digital content. Responses to digital technology contain subcategories of perception (positive or negative) and behavior (trying or avoidance). Regarding contextual factors, aging-related physical and cognitive changes were identified as barriers to digital literacy. The influence of families or peers was viewed as both a facilitator and a barrier. Our participants recognized the importance of using digital devices to keep up with the trend of digitalization, but their digital literacy was mostly limited to relatively simple levels. To synthesise nurses' and physicians' experiences with withdrawing life-sustaining treatment in an intensive care unit.
The chosen methodology is thematic synthesis. The Preferred Reporting Items for Systematic Review and Meta-Analyses and Enhancing Transparency are used in Reporting the Synthesis of Qualitative Research Statement.
A systematic search is conducted in APA PsycINFO, CINAHL Plus, EMBASE, PubMed and Web of Science following the inclusion and exclusion criteria in April 2023. Two reviewers independently screened and extracted the qualitative data. Subsequently, data analysis was conducted using thematic analysis of qualitative research. This study was not registered with any review registry due to the irrelevance of the data to health-related outcomes.
From the 16 articles, 267 quotes were extracted and analysed. The findings of the study revealed five analytical themes: (1) tensions between interdependent collaboration and hierarchical roles; (2) tensions between dignified dying or therapeutic perspectives; (3) family members' reflections of patient's wishes; (4) tensions in family members' positions; and (5) double-sidedness of distress.
This study contributes to nursing knowledge by providing a more nuanced understanding of this complex phenomenon of withdrawing life-sustaining treatment. The findings of this study have revealed significant variations globally in the practices surrounding the withdrawal of life-sustaining treatment in intensive care units, emphasising the need for further research to inform clinical practices that cater to diverse contexts.
Enhancing Transparency are used in Reporting the Synthesis of Qualitative Research Statement (ENTREQ statement).
Since this study reported a potential collision between the patient's dignified dying and the family member's perceptions and interests, the family member's wishes should be carefully distinguished from the patient's quality of end of life in practice.
To examine whether nursing diagnoses were associated with delirium in patients with sepsis.
Nursing diagnosis is a nurse's clinical judgement about clients' current or potential health conditions. Delirium is regarded as an important nurse-sensitive outcome. Nonetheless, nursing diagnoses associated with delirium have not yet been identified.
Retrospective correlational study.
This study was carried out from December 2021 to January 2023. We analysed electronic health records of patients with sepsis admitted to the intensive care units (ICUs) of a tertiary hospital in Seoul, South Korea. Delirium was defined based on the Intensive Care Delirium Screening Checklist score. Nursing diagnoses established within 24 h of admission to the ICU were included and were based on the North American Nursing Diagnosis Association diagnostic classification. The data were analysed using logistic regression. Demographics, comorbidities, procedures and physiological measures were adjusted. Regression model was evaluated via receiver operating characteristic curve, Nagelkerke R 2, accuracy and F1 score.
The prevalence of delirium in patients with sepsis was 51.8%. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity were significant nursing diagnoses related to delirium. Age ≥ 65 years, Acute Physiology and Chronic Health Evaluation II score, mechanical ventilation, continuous renal replacement therapy, physical restraint and comatose state were also associated with delirium in patients with sepsis. The area under the receiver operating characteristic curve was 0.806.
Ineffective breathing patterns, decreased cardiac output and impaired skin integrity could manifest as prodromal symptoms of delirium among patients with sepsis.
The prodromal symptoms of delirium revealed through nursing diagnoses can be efficiently used to identify high-risk groups for delirium. The use of nursing diagnosis system should be recommended in clinical practice caring for sepsis patients.
STROBE checklist.
No patient or public involvement.
To examine whether psychosocial needs in diabetes care are associated with carbohydrate counting and if carbohydrate counting is associated with satisfaction with diabetes applications' usability, a randomized crossover trial of 92 adults with type 1 or 2 diabetes requiring insulin therapy tested two top-rated diabetes applications, mySugr and OnTrack Diabetes. Survey responses on demographics, psychosocial needs (perceived competence, autonomy, and connectivity), carbohydrate-counting frequency, and application satisfaction were modeled using mixed-effect linear regressions to test associations. Participants ranged between 19 and 74 years old (mean, 54 years) and predominantly had type 2 diabetes (70%). Among the three tested domains of psychosocial needs, only competence—not autonomy or connectivity—was found to be associated with carbohydrate-counting frequency. No association between carbohydrate-counting behavior and application satisfaction was found. In conclusion, perceived competence in diabetes care is an important factor in carbohydrate counting; clinicians may improve adherence to carbohydrate counting with strategies designed to improve perceived competence. Carbohydrate-counting behavior is complex; its impact on patient satisfaction of diabetes application usability is multifactorial and warrants consideration of patient demographics such as sex as well as application features for automated carbohydrate counting. To explore digital health interventions on patient safety for children and their parents.
A scoping review.
The PCC ‘Participants, Concepts, and Contexts’ guided the selection of studies that focused on children under 19 years of age or their parents, patient safety interventions for children, and digital health technology for patient safety interventions. This study was conducted using the Arksey and O'Malley framework's five steps. We reported the review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist.
PubMed, CINAHL, Embase, Web of Science, and Cochrane were searched for articles published up to November 2022.
A total of 13 articles were included and categorized according to the following criteria to describe the results: intervention characteristics, type of digital technology, and outcome characteristics. Regarding intervention characteristics, we identified two categories, prevention and risk management. Additionally, we identified four types of digital technology, mobile applications, web-based technologies, computer kiosks and electronic health records. Finally, in studies focussing on child safety, parental safety behaviours were used to assess injury risk or detect changes related to prevention.
Patient safety interventions provided through appropriate digital technologies should be developed to enhance continuum of care for children from hospitalization to home after discharge.
Digital health interventions can bolster the role of healthcare providers in patient safety in and out of hospitals, thus improving children's safety and quality of care.
What problem did the study address? Although the various advantages of digital health technology have been demonstrated, the potential role of digital technology in patient safety interventions for children has not been explored. What were the main finding? Preventive patient safety interventions and risk management for children have been developed. Where and on whom will the research have an impact? Digital health interventions on patient safety can improve children's safety and quality of care by promoting non-face-to-face engagement of children and parents after discharge and expanding healthcare providers' roles.
Registered on the Open Science Framework (https://osf.io/dkvst).
No patient or public contribution.
The study aimed to identify factors associated with participation in Phase II cardiac rehabilitation and to assess patient perceptions towards the usage of technologies in cardiac rehabilitation.
Despite efforts to promote utilisation of cardiac rehabilitation (CR), participation among patients remains unsatisfactory. Little is known of patient decision to participate Phase II CR in a multi-ethnic country.
A cross-sectional study design.
A consecutive sampling of 240 patients with coronary heart disease completed Coronary Artery Disease Education Questionnaire (CADE-Q) II, Hospital Anxiety and Depression Scale (HADS), Multidimensional Scale of Perceived Social Support (MSPSS) and Cardiac Rehabilitation Barriers Scale (CRBS).
Seventy per cent of patients (mean age 60.5 [SD = 10.6] years, 80.8% male) participated in phase II cardiac rehabilitation. Self-driving to cardiac rehabilitation centres, higher barriers in perceived need/health care and logistical factors were significantly associated with decreased odds of participation. Patients with more barriers from comorbidities/functional status, higher perceived social support from friends, and anxiety were more likely to participate. Chinese and Indians were less likely to participate when compared with Malays. More than 80% of patients used both home and mobile broadband internet, and 72.9% of them would accept the usage of technologies, especially educational videos, instant messenger, and video calls to partially replace the face-to-face, centre-based cardiac rehabilitation approach.
Several barriers were associated with non-participation in phase II cardiac rehabilitation. With the high perceived acceptance of technology usage in cardiac rehabilitation, home-based and hybrid cardiac rehabilitation may represent potential solutions to improve participation.
By addressing the barriers to cardiac rehabilitation, patients are more likely to be ready to adopt health behaviour changes and adhere to the cardiac rehabilitation programme. The high perceived acceptance of using technologies in cardiac rehabilitation may provide insights into new delivery models that can improve and overcome barriers to participation.
This study aims to identify longitudinal patterns and predictors of cognitive function trajectories among Korean older adults with cardiovascular diseases.
This study is a longitudinal panel analysis based on secondary data. Data from the the Korean Longitudinal Study of Ageing (KLoSA) were used for analysis.
The KLoSA is a representative panel survey of older Koreans. We analyzed responses from 301 participants aged ≥65 years who completed the same survey more than three times out of five waves between 2012 and 2020.
Latent class growth modeling identified two trajectories of cognitive function in older people with cardiovascular diseases: “low and declining” (n = 81, 26.9%) and “high and declining” (n = 220, 73.1%). Participants in “the low and declining trajectory group” were more likely to have a low educational level, weak handgrip strength, depression, and low social participation at baseline than those in “the high and declining trajectory group.”
Our results indicate a need to develop community-based tailored interventions for improving handgrip strength, mental health, and social participation in delaying cognitive decline in older people with cardiovascular diseases considering their educational level.
Healthcare providers should be more concerned about older people with a weaker handgrip, depression, and low social activities as a high-risk group for cognitive decline over time in cardiovascular care. Therefore, it is necessary to evaluate them early with standardized tools and make subsequent strategies for the older population with cardiovascular diseases.
The literature cites many factors that influence a nurse's decision when choosing their workplace. However, it is unclear which attributes matter the most to newly graduated nurses. The study aimed to identify the relative importance of workplace preference attributes among newly graduated nurses.
A cross-sectional study.
We conducted an online survey and data were collected in June 2022. A total of 1111 newly graduated nurses in South Korea participated. The study employed best–worst scaling to quantify the relative importance of nine workplace preferences and also included questions about participants' willingness to pay for each workplace preferences. The relationships between the relative importance of the workplace attribute and the willingness to pay were determined using a quadrant analysis.
The order according to the relative importance of workplace preferences is as follows: salary, working conditions, organizational climate, welfare program, hospital location, hospital level, hospital reputation, professional development, and the chance of promotion. The most important factor, salary, was 16.67 times more important than the least important factor, the chance of promotion, in terms of choosing workplace. In addition, working conditions and organizational climate were recognized as high economic value indicators.
Newly graduated nurses nominated better salaries, working conditions, and organizational climate as having a more important role in choosing their workplace.
The findings of this study have important implications for institutions and administrators in recruiting and retaining newly graduated nurses.
FreshRSS 