Impact of Nurse Staffing, Skill Mix and Stability on Resident Health Outcomes in Korean Nursing Homes

Shin, Juh Hyun; Choi, Gui Yun; Lee, Ji-Yeon

doi:10.17079/jkgn.2020.22.4.291

Cited by 12 publications

(13 citation statements)

References 22 publications

(15 reference statements)

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“…This study also highlighted the importance of NH directors. The results of this study are consistent with those of previous studies in that directors’ HPRD influenced residents’ health outcomes [ 12 , 30 , 31 ]. According to prior research, the director’s management philosophy and awareness of the importance of employees and finance as well as the manager’s experience and stability affected residents’ health outcomes [ 31 ].…”

Section: Discussionsupporting

confidence: 92%

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

Lee

Shin

Ahn

et al. 2021

IJERPH

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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.

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Section: Discussionsupporting

confidence: 92%

“…Furthermore, 1.7% of NH residents had a suspected deep-tissue injury in 2012 [10]. In Korea, although there is no official data on the incidence of PUs in long-term-care settings, the incidence of PUs has been reported to be 1.2-31.3% in a small number of prior studies [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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

Lee

Shin

Ahn

et al. 2021

IJERPH

Self Cite

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“…A high nurse-turnover rate in NHs makes it difficult to assess residents and implement management plans, reduces the intimacy between nurses and residents, makes it more difficult to detect complications and health failures due to the decreased nursing care continuity and affects residents' health outcome through poor supervision and education (Thomas et al, 2013). Accordingly, high nurse turnover in NHs relates to more pressure sores among residents (Trinkoff et al, 2013), use of antipsychotic medications (Shin et al, 2020), hospital admissions (Thomas et al, 2013) and mortality (Antwi & Bowblis, 2018). For organizations, high nurse turnover in NHs leads to substantial costs such as recruitment and training for new nursing staff (Griffeth et al, 2011;Uchida-Nakakoji et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Nursing home nurses' turnover intention: A systematic review

Lee

2021

Nursing Open

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“…It is recognized that laws and institutional policies influence the health of older adults with dementia at both the population and individual levels. In particular, legislation on minimum staffing ratios and the proportion of nurses at LTC facilities may be associated with the quality of care and resident health outcomes [ 81 ]. Future research should aim to identify and analyze various existing policies among different countries and institutions, as well as their effects on residents’ eating difficulties.…”

Section: Discussionmentioning

confidence: 99%

Eating Difficulties among Older Adults with Dementia in Long-Term Care Facilities: A Scoping Review

Jung

Lee

Gagné

et al. 2021

IJERPH

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This paper reports a scoping review of the literature on eating difficulties among older adults with dementia in long-term care facilities to identify key concepts, methods of measuring outcomes, interventions, and related factors. A scoping review was performed using the bibliographic databases PubMed, CINAHL, PsycINFO, and Cochrane Library. A combination of keywords and subject headings related to eating or feeding difficulties was used. Inclusion criteria were limited to materials published in English. A total of 1070 references were retrieved, of which 39 articles were selected after applying the inclusion and exclusion criteria. Articles that met the criteria were published between 1987 and 2020. “Eating disabilities” have been defined as problems related to choosing food and/or the ability to get food to one’s mouth, chew, and swallow. Interventions for eating difficulties described in the literature include spaced retrieval training, Montessori training, and feeding skill training. Intrapersonal, interpersonal, and environmental factors related to eating difficulties were identified. This scoping review will provide direct care workers, nursing educators, and administrators with an overview of eating performance and a broad understanding of eating difficulties for older adults with dementia in long-term care facilities.

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Impact of Nurse Staffing, Skill Mix and Stability on Resident Health Outcomes in Korean Nursing Homes

Cited by 12 publications

References 22 publications

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

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

Nursing home nurses' turnover intention: A systematic review

Eating Difficulties among Older Adults with Dementia in Long-Term Care Facilities: A Scoping Review

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