Identification of North American Nursing Diagnosis Association-Nursing Interventions Classification-Nursing Outcomes Classification of nursing home residents using on-time data by android smartphone application by registered nurses.

PURPOSE: We aimed to investigate the nursing process linkages formed by Nursing Interventions Classification (NIC) and Nursing Outcomes Classification (NOC) according to the primary NANDA-I diagnoses by registered nurses (RNs), customized to nursing home (NH) residents in Korea, using a developed smartphone application for NH RNs. METHODS: This is a retrospective descriptive study. Applying quota sampling, a total of 51 NHs from all operating 686 NHs hiring RNs participated in this study. Data were collected from June 21 to July 30, 2022. Data on NANDA-I, NIC, NOC (NNN) of nurses applied to the NH residents were collected through a developed smartphone application. The application consists of general organization and residents' characteristics, NANDA-I, NIC, and NOC. RNs selected randomly up to 10 residents and NANDA-I with risk factors and related factors over the past 7 days, followed by all applied interventions out of 82 NIC. RNs then evaluated residents through 79 selected NOC. RESULTS: We found the frequently used NANDA-I diagnoses, Nursing Interventions Classifications and Nursing Outcomes and Classifications applied for NH residents by RNs and developed the top five NOC linkages used to build care plan. CONCLUSION: It is time to pursue high-level evidence and reply to the questions raised in NH practice using NNN with high technology. The outcomes for patients and nursing staff are improved by the continuity of care made possible by uniform language. IMPLICATIONS FOR NURSING PRACTICE: NNN linkages should be used to construct and utilize the coding system of electronic health records or electronic medical records in Korean long-term care facilities.

Factors Affecting COVID-19 Incidences and Deaths of Geriatric Hospital Patients in Korea.

The current retrospective study aimed to investigate the association between organizational factors and nursing staff in geriatric hospitals and coronavirus disease 2019 (COVID-19) incidences and deaths using secondary data from governments nationwide in Korea. We used data on the number of COVID-19-confirmed cases and deaths among older adults in geriatric hospitals and nursing staff levels in those hospitals. We found that when the RN level was higher than the sample mean, the number of COVID-19-confirmed cases by geriatric hospital was significantly lower (4.3%; p = 0.05) and the number of deaths by geriatric hospital was marginally significantly lower (1.4%; p = 0.05). This study presented the national description of geriatric hospitals during the COVID-19 pandemic in terms of organizational and nursing staff factors. Findings highlight the impact of nursing staff skill mix and number of geriatric hospitals during the COVID-19 pandemic in Korea. It is necessary to allocate a realistic designation of infection control staff and establish a clear standard so infection control activities in geriatric hospitals can proceed systematically. [Research in Gerontological Nursing, 16(6), 302-311.].

Heuristic smartphone usability evaluations of the mobile application NANDA, nursing interventions classification, and nursing outcomes classification customized for nursing home registered nurses.

PURPOSE: We aimed to evaluate the usability of a smartphone application consisting of standardized nursing language (SNL) using NANDA, Nursing Intervention Classification, and Nursing Outcome Classification for nursing home nurses. DATA SOURCES: Applying convenience sampling, a total of 14 experts and 15 real users were invited to test and evaluate the smartphone application independently. For the usability evaluation of the developed application, the Korean version of the Mobile Application Rating Scale for experts and Mobile Application Rating Scale: User Version developed by Stoyanov et al. were used. DATA SYNTHESIS: Both groups determined that the SNL application was quite informative about SNL and efficient function; however, the engagement was quite lower than other categories. CONCLUSIONS: Although SNLs were scientifically developed for several decades, the widely available technological application for registered nurses in different languages is urgently needed to improve quality of nursing care. IMPLICATIONS FOR NURSING PRACTICE: The identified problems and recommendations by users and experts using heuristic evaluation will be reflected in the application's final version to be used for research.

Meal-Monitoring Systems Using Weight and Temperature Sensors for Elder Residents in Long-Term Care Facilities.

This paper presents a few meal-monitoring systems for elder residents (especially patients) in LTCFs by using electronic weight and temperature sensors. These monitoring systems enable to convey the information of the amount of meal taken by the patients in real-time via wireless communication networks onto the mobile phones of their nurses in charge or families. Thereby, the nurses can easily spot the most patients who need immediate assistance, while the families can have relief in seeing the crucial information for the well-being of their parents at least three times a day. Meanwhile, the patients tend to suffer burns of their tongues because they can hardly recognize the temperature of hot meals served. This situation can be avoided by utilizing the meal temperature-monitoring system, which displays an alarm to the patients when the meal temperature is above the reference. These meal-monitoring systems can be easily implemented by utilizing low-cost sensor chips and Arduino NANO boards so that elder-care hospitals and nursing homes can afford to exploit them with no additional cost. Hence, we believe that the proposed monitoring systems would be a potential solution to provide a great help and relief for the professional nurses working in elder-care hospitals and nursing homes.

A Methodological Quality Evaluation of Meta-Analyses on Nursing Home Research: Overview and Suggestions for Future Directions.

(1) Background: The nursing home (NH) research field lacks quality reporting about meta-analyses (MAs), and most gradings of MA evidence are biased on analyzing the effectiveness of independent variables in randomized control trials. (2) Objectives: This study aimed to perform a critical methodological review of MAs in the NH research field. (3) Methods: We searched the articles from four databases (PubMed, MEDLINE, CINAHL, and PsycINFO) until 15th January 2021. We reviewed a total of 41 published review articles in the NH research field. (4) Results: The studies primarily fell into the following categories: medicine (17/41), nursing (7/41), and psychiatry or psychology (6/41); 36.6% of the reviewed studies did not use any validated MA guidelines. The lowest correctly reported PRISMA 2000 guideline item was protocol and registration (14.6%), and more than 50% of articles did not report risk of bias. Moreover, 78.0% of studies did not describe missing reports of effect size formula. (5) Discussion: NH researchers must follow appropriate and updated guidelines for their MAs in order to provide validated reviews, as well as consider statistical issues such as the complexity of interventions, proper grouping, and scientific effect-size calculations to improve the quality of their study. Future quality review studies should investigate more diverse studies.

Staffing Levels and COVID-19 Infections and Deaths in Korean Nursing Homes.

The novel coronavirus disease 2019 (COVID-19) spread rapidly worldwide. Nursing home (NH) residents are the most vulnerable high-risk population to infection. Professional registered nurses' (RNs') infection control is irreplaceable. We used a secondary data analysis method using the government's senior citizen welfare department large data set about all NHs (N = 3,389) across Korea between January 20 and October 20, 2020. Bed size positively associated with the mortality rate (No. of COVID-19 resident deaths / No. of total residents) (p = .048). When the proportion of RNs to total nursing staff was higher, the infection rate was 0.626% lower (p = .049), the mortality rate was 0.088% lower (p = .076), the proportion of confirmed COVID-19 cases per resident out of the total number of NHs was 44.472% lower (p = .041), and the proportion of confirmed COVID-19 deaths per resident out of the total number of NHs was 6.456% lower (p = .055). This study highlighted nurse staffing criteria and suggests that increasing RNs in NHs will reduce infection and mortality rates during the COVID-19 pandemic. We strongly suggest NHs hire at least one RN per day to properly function, and a minimum of four RNs to provide a fully competent RN workforce in long-term care settings in Korean NHs.

Identifying Frequently Used NANDA-I Nursing Diagnoses, NOC Outcomes, NIC Interventions, and NNN Linkages for Nursing Home Residents in Korea.

This study aimed to identify the terminologies of NANDA-I, NOC, NIC, and NNN linkages that have been used for nursing home (NH) residents. This study used a retrospective descriptive design. Data accrued from 57 registered nurses (RNs) in 25 Korean NHs. The RNs randomly selected one resident and assessed for applied NANDA-I, NOC, and NIC from the previous 7 days by reviewing nursing charts and records. Finally, the data of 57 residents in 25 NHs were collected. Results: We identified seven NNN linkages: risk for falls-fall prevention behavior-fall prevention; self-care deficit: bathing/hygiene-self-care: activities of daily living (ADL)-self-care assistance: bathing/hygiene; impaired memory-memory-cognitive stimulation; chronic confusion-neurological status: consciousness-medication management; chronic confusion-memory-medication management; impaired walking-mobility-exercise promotion: strength training; and impaired walking-ambulation-exercise promotion: strength training. The identified core NANDA-I, NOC, NIC, and NNN linkages for NH residents from this study provide a scope of practice of RNs working in NHs.

An Analysis of the Effects of Psychosocial Work Environment on the Retention Intentions of Primary Care Coordinators Nursing Patients with Chronic Illness.

This study aimed to investigate the effects of psychosocial work environment on the retention intentions of care coordinators taking care of patients with chronic illness. A descriptive survey study was conducted with a convenience sample of care coordinators who organized patients and treatment teams that offered professional and persistent treatment. A total of 132 participants were recruited from 19 October to 19 November 2020. The data were analyzed through descriptive statistics, t-tests, ANOVA, Scheffé post hoc, and hierarchical multiple regression using SPSS 26.0. The results showed that work organization and job content (ß = 0.254, p = 0.014) and value at the workplace (ß = 0.245, p = 0.034) had significant effects on the retention intentions of participants. The final model of the study explained 40.1% of participants' retention intentions (F = 11.830, p < 0.001). The development of educational programs and implementation of policies for improving the psychosocial work environment were found to be essential for increasing the retention intentions of professional care coordinators.

Person-Centered Care Practice, Patient Safety Competence, and Patient Safety Nursing Activities of Nurses Working in Geriatric Hospitals.

Geriatric nursing activities are closely related to patient safety; therefore, nurses' efforts to improve patient safety in geriatric hospitals are important. In the present study, we investigated the relationships between person-centered care practice, patient safety competence, and patient safety during nursing activities in geriatric hospitals. We used the following tools to investigate the factors affecting patient safety during nursing activities: (a) the Korean version of the Person-Centered Care Assessment Tool (P-CAT), (b) the Patient Safety Competence Assessment Tool for Nurses, and (c) the Patient Safety Nursing Activities Assessment Tool for geriatric nurses. The questionnaire survey was completed by 186 geriatric nurses in 12 geriatric hospitals from 1 August to 31 August 2018. We analyzed the survey data using a t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression. We identified patient safety skills (ß = 0.417, p < 0.001) and age (ß = 0.209, p = 0.035) as key factors that influence patient safety during nursing activities. Therefore, to improve the quality of patient safety during nursing activities conducted by geriatric nurses, it is necessary to develop strategies to improve patient safety skills and expand the pool of competent nurses with clinical experience.

Factors Influencing the Dementia-Preventive Behaviors among Middle-Aged Persons with Chronic Diseases in Korea.

The purpose of this study was to investigate the influence of dementia literacy, internal health locus of control, and fear of dementia on dementia-preventive behaviors among middle-aged people with chronic diseases. The participants were middle-aged individuals with chronic diseases who had been taking medications for at least three months, recruited using convenience sampling. A total of 123 participants were recruited between 13 and 31 March 2020, using self-reported questionnaires. Data were then analyzed through independent t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression using the SPSS/WIN 25.0. The results showed that health condition perceived as healthy and dementia literacy were the leading factors influencing dementia-preventive behaviors. These variables showed a 16% explanatory power for dementia-preventive behaviors. Therefore, when the participants' perceived health condition was healthy and the dementia literacy score was higher, the level of dementia-preventive behaviors was also higher. It is necessary to develop educational programs to increase dementia literacy as a major variable in dementia-preventive behaviors, and further research on its efficacy should be conducted. When providing dementia-preventive education programs to middle-aged people who have been exposed to chronic diseases, it is necessary to consider their level of perceived health condition and dementia literacy.

Identifying the Risk Factors Associated with Nursing Home Residents' Pressure Ulcers Using Machine Learning Methods.

BACKGROUND: Machine learning (ML) can keep improving predictions and generating automated knowledge via data-driven predictors or decisions. OBJECTIVE: The purpose of this study was to compare different ML methods including random forest, logistics regression, linear support vector machine (SVM), polynomial SVM, radial SVM, and sigmoid SVM in terms of their accuracy, sensitivity, specificity, negative predictor values, and positive predictive values by validating real datasets to predict factors for pressure ulcers (PUs). METHODS: We applied representative ML algorithms (random forest, logistic regression, linear SVM, polynomial SVM, radial SVM, and sigmoid SVM) to develop a prediction model (N = 60). RESULTS: The random forest model showed the greatest accuracy (0.814), followed by logistic regression (0.782), polynomial SVM (0.779), radial SVM (0.770), linear SVM (0.767), and sigmoid SVM (0.674). CONCLUSIONS: The random forest model showed the greatest accuracy for predicting PUs in nursing homes (NHs). Diverse factors that predict PUs in NHs including NH characteristics and residents' characteristics were identified according to diverse ML methods. These factors should be considered to decrease PUs in NH residents.

Increasing Registered Nurse Hours Per Resident Day for Improved Nursing Home Residents' Outcomes Using a Longitudinal Study.

The purpose of this study was to estimate how much resident outcomes can improve with an increase in hours per resident day (HPRD) of registered nurses (RNs) staffing. Nursing home (NH) staff in Korea have serious problems with inappropriate nurse staffing standards and poor working conditions, which lead to poor quality of care for NH residents. This study used a longitudinal survey design. A quota sampling was used with a total of several repeated survey measurement from 2017 to 2020 (n = 74). The independent variable was the amount of nurse staffing HPRD and the outcome variable was the compiled outcome of 15 quality-of-care indicators. Data were directly collected from all participating NHs. A longitudinal, multilevel model was used for analysis. An increase of one unit of RN HPRD (60 min) corresponded to a decrease of about 10.5% of residents with deteriorated quality of care outcomes. This study emphasized that increasing RN HPRD decreased residents' deteriorated outcomes in NHs. This suggests that professional RNs must be secured to an appropriate level to improve the quality of care for NH residents.

Why Do They Stay? Intention to Stay among Registered Nurses in Nursing Homes.

PURPOSE: The purpose of this study was to examine the factors associated with nursing home (NH) registered nurses' (RNs') intention to stay in their workplace. METHODS: A cross-sectional questionnaire survey was used in this study. Organizational NH data were acquired from the administrators of 56 NHs. Individual RN data were acquired from 189 RNs in 56 NHs across Korea. The questionnaire assessed RNs' intention to stay in their workplace as well as potential associated factors, including individual and organizational factors. Multilevel regression analysis was used to determine which factors explain RNs' intention to stay in their workplace. FINDINGS: NH RNs' intention to stay was positively associated with RNs' years of experience in NHs, career promotion opportunities, and perceptions of NH resident safety culture. At the organizational level, no factors were found to significantly relate to the intention to stay of NH RNs. CONCLUSIONS: Although this study found that organizational factors have no statistically significant relationship with RNs' intention to stay, organizational support must precede changes in individual factors that have significant relationships. CLINICAL RELEVANCE: Organizational (NH) and individual (RN) efforts must be made to enhance RNs' intention to stay because individual factors can change after implementing efforts such as providing educational programs, promotional opportunities, and forming a positive resident safety culture at an organizational level.

Application of Machine Learning Methods in Nursing Home Research.

Background: A machine learning (ML) system is able to construct algorithms to continue improving predictions and generate automated knowledge through data-driven predictors or decisions. Objective: The purpose of this study was to compare six ML methods (random forest (RF), logistics regression, linear support vector machine (SVM), polynomial SVM, radial SVM, and sigmoid SVM) of predicting falls in nursing homes (NHs). Methods: We applied three representative six-ML algorithms to the preprocessed dataset to develop a prediction model (N = 60). We used an accuracy measure to evaluate prediction models. Results: RF was the most accurate model (0.883), followed by the logistic regression model, SVM linear, and polynomial SVM (0.867). Conclusions: RF was a powerful algorithm to discern predictors of falls in NHs. For effective fall management, researchers should consider organizational characteristics as well as personal factors. Recommendations for Future Research: To confirm the superiority of ML in NH research, future studies are required to discern additional potential factors using newly introduced ML methods.

Improvement Plan of Nurse Staffing Standards in Korea.

PURPOSE: This study compares the expected nurse-to-patient ratio, penalties for violating these regulations, and the laws enacted in the medical and nursing fields in Korea and advanced countries like Germany, Australia, the United States, and Japan. METHODS: This study deployed an integrative review method and used search terms such as "nursing law," "nurse ratio," "nurse," "nurse staffing," "health," and "staffing" to find articles published in English, Korean, German, or Japanese through Cumulative Index to Nursing and Allied Health Literature Plus with Full Text, the Westlaw (International Materials-Jurisdiction) site, US government and state sites (federal parliament, National Conference of State Legislatures), and Google Scholar. RESULTS: Compared with medical laws in other advanced countries, Korean laws are quite crude and its nurse-to-patient ratio does not reflect patients' status. Korea also lacks strict penalties for nurse staffing ratio violations. CONCLUSION: Korea requires a strong regulatory apparatus for nurse staffing in health-care organizations to improve the quality of its health-care services and patient safety.

Sick Students: Presenteeism Among Nursing Students in 3 Countries.

BACKGROUND: Presenteeism, the act of going to work while sick, is associated with increases in medication errors, patient falls, diminished quality of care, and higher costs. To date, presenteeism has not been described among nursing students. PURPOSE: This study described presenteeism in nursing students from 3 different international nursing programs. METHOD: A self-administered survey with open-ended responses was used. RESULTS: While nearly all student respondents believed going to class and clinical experiences put their classmates and patients at risk, the overall presenteeism rate was 85.5% for class and 69.5% for clinical experiences. Although there were significant differences between universities for reasons for presenteeism, a lack of opportunity for making up missed lecture or clinical time predominated. CONCLUSION: Nursing students in 3 culturally different cities reported going to class and clinical experiences while sick despite recognizing the safety risk.

Investigation of Longitudinal Data Analysis: Hierarchical Linear Model and Latent Growth Model Using a Longitudinal Nursing Home Dataset.

The appropriate use of the data analysis method in a longitudinal design remains controversial in gerontological nursing research. The objective of the current study is to compare statistical approaches between a hierarchical-linear model (HLM) and a latent-growth model (LGM) in random effects, variance explained, growth trajectory, and model fitness. Secondary analysis of longitudinal data was used. Two variables were chosen to demonstrate the comparison between statistical methods. The HLM was superior in addressing unbalanced data in repeated-measures analysis of variance (ANOVA) and multivariate ANOVA because its nested data structure and random effects could be estimated. The LGM had advantages in modeling growth trajectories and model-fit comparisons. Superior to the HLM, the LGM reported more acceptable data fit, reporting a quadratic model, and successfully differentiated between and within components. The current research provides some evidence for applying appropriate statistical methods when addressing longitudinal datasets in gerontological nursing research. [Research in Gerontological Nursing, 12(6), 275-283.].

Appropriate Nursing Home Nurse Hours per Resident Day in Korea: A Secondary Analysis of Longitudinal Data.

PURPOSE: To encourage the enactment of laws about mandatory nurse staffing in nursing homes, researchers should provide evidence of concrete nurse hours per resident day (HPRD). This article estimates optimal nurse staffing HPRD to achieve increased quality-of-care outcomes for nursing home residents. DESIGN: Secondary analysis of longitudinal data. METHODS: This study used secondary analysis of longitudinal nursing home survey data. Nurse staffing HPRD and quality-of-care survey data accrued from nursing homes operating under long-term-care insurance in Korea. The collected data include a total of six quarterly base measurements on nurse staffing HPRD and 15 quality indicators from 2014 to 2017. The proposed optimization model emerged to most appropriately combine nurse staffing HPRD to increase quality-of-care outcomes for nursing home residents by 3% to 8%. Optimal outcome measures were fixed as best outcomes and compiled from 15 nursing-sensitive quality indicators. FINDINGS: Constrained nonlinear optimization was used for analysis. A 12% increase in registered nurse (RN) HPRD (from 0.168 HPRD [10 min 5 s] to 0.177 [10 min 38 s]) aligned with a 3% improvement in quality-of-care outcomes. A 20% RN HPRD increase aligned with a commensurate 5% to 8% increase in compiled quality-of-care outcomes (from 0.168 HPRD [10 min 5 s] to 0.202 HPRD [12 min 6 s]) without increasing certified nurse aide HPRD. About a 30% RN HPRD increase aligned with a commensurate 5% to 8% increase in compiled quality-of-care outcomes (from 0.168 HPRD [10 min 5 s] to 0.218 HPRD [13 min 6 s]) without increasing certified nurse aide HPRD. CONCLUSIONS: It is urgent to institute mandatory nurse HPRD for nursing homes in Korea by law. This research provides evidence that increasing nursing HPRD improved residents' outcomes in nursing homes. CLINICAL RELEVANCE: Findings from the optimization model implied that stable care by RNs in nursing homes is a key factor in achieving acceptable quality of care for residents.

Public Reporting on the Quality Ratings of Nursing Homes in the Republic of Korea.

BACKGROUND: Quality ratings could provide vital information to help people in choosing a nursing home. PURPOSE: This study investigated factors aligned with quality ratings of nursing homes. METHODS: We employed a cross-sectional descriptive design to assess publicly available data on 1,354 nursing homes with 30 or more beds in the Republic of Korea. After excluding 289 nursing homes with no reported quality-evaluation ratings, we analyzed the 2015 data of 1,065 nursing homes. To prevent multicollinearity among independent variables, we carefully selected the final set of variables based on clinical and theoretical meaningfulness to direct nursing care. Quality, the ordinal outcome, was scored from 1 to 5 with a higher score indicating higher quality of the organization. We constructed a multivariate ordered logistic regression model. RESULTS: Higher quality ratings of nursing homes was significantly related to the number of unoccupied beds (OR=0.99, p=.024), registered nurses (RNs) (OR=1.30, p=.003), qualified care workers (OR=1.03, p=.011), cognitive-improvement programs (OR=1.05, p=.024), and other programs for residents' activities (OR=1.09, p<.001). CONCLUSION: The number of RNs had the strongest influence on the publicly reported quality rating, while the rating of qualified care workers demonstrated little effect and that of nursing assistants had no effect. The number of RNs could be used as a crucial indicator for high-quality homes; more resident-engaging programs also demonstrated better quality of nursing home care.

Nursing Staff Characteristics on Resident Outcomes in Nursing Homes.

BACKGROUND: The outlook of administrative staff and registered nurses (RNs) plays a critical role in the management of nursing homes. No previous study has compared the outcomes of nursing homes with RNs on staff with those of nursing homes without RNs on staff in Korea. PURPOSE: The aim of this study was to investigate the association between nurse-led nursing homes, staff turnover, and resident outcomes in nursing homes in Korea. METHODS: Using a cross-sectional design, 36 nursing homes with 30 or more beds participated. Primary data included 15 quality indicators. RESULTS: Nursing homes with RNs had statistically significant better resident outcomes. RN turnover related positively to the prevalence of falls ( ß = 1.68, p < .05) and tube feeding (ß = 1.71, p < .01) and negatively to incontinence (ß = -1.53, p < .01). Nursing homes with RNs with tenures greater than 1 year had statistically significant lower prevalence of falls (ß = -0.47, p < .05), incontinence (ß = -0.45, p < .05), weight loss (ß = -0.53 p < .05), and bed rest (ß = -0.54, p < .01) and increased range of motion (ß = 0.51, p < .05). Interestingly, having a nurse as a director for more than 1 year related negatively to the incidence of urinary tract infection (ß = -0.56, p < .05) in residents. The rate of RN turnover was found to impact fall prevalence (ß = 1.68, p < .05) and tube feeding (ß = 1.71, p < .01) positively and to impact incontinence (ß = -1.53, p < .01) negatively. CONCLUSIONS: Turnover of nursing home staff and length of tenure may contribute to the more effective management of nursing homes, higher-quality long-term care insurance, and RN-staffing-related laws. Assessing staff characteristics and the tenure of employees promotes the effective management of nursing homes.