1,720,977 research outputs found
Factors Associated With Low and High Social Engagement Among Older Nursing Home Residents in Korea
No full text© 2021Objectives: With the increase in older adults receiving long-term care in facilities, the level of social engagement within nursing homes is a growing concern for improving the quality of life of residents. This study seeks to assess the level of social engagement and identify the factors associated with high and low engagement among older adults in Korean nursing homes. Design: Cross-sectional study. Setting and Participants: Data were obtained from a nationally representative sample of 1453 older residents in 92 long-term care facilities across Korea. Methods: Multilevel-multivariate analyses were carried out to identify individual- and institution-level risk factors of social engagement, as measured by the Revised Index of Social Engagement (RISE). Results: Three-fourths of older residents had a low level of social engagement, whereas only about one tenth showed a high level of social engagement. Being male, having severe functional impairments, having depression, and having no supportive family relationships were risk factors for low social engagement. Conversely, a high level of social engagement was significantly associated with being female, having no impairments, and a longer length of stay. Meeting staffing requirements for personal care assistants, an institution-level factor, was negatively associated with low social engagement and positively associated with high social engagement. Conclusions and Implications: Low social engagement is very common in Korean nursing homes and is concentrated among those with poor functional and social outcomes. Future efforts to improve long-term care will need to address the various factors associated with social engagement in designing social care for nursing home residents.N
Gender gap matters in maternal mortality in low and lower-middle-income countries: A study of the global Gender Gap Index
No full textReducing maternal mortality has been a crucial part of the global development agenda. According to modernisation theory, the effect of gender equality on maternal health may differ depending on a country's economic development status. We explored the correlation between the Global Gender Gap Index (GGI) provided by the World Economic Forum and the maternal mortality ratio (MMR) obtained from the World Development Indicators database of the World Bank. The relationships between each score in the GGI, including its four sub-indices (measuring gender gaps in economic participation, educational attainment, health and survival, and political empowerment), and the MMR were analysed. When the countries were stratified by gross national income per capita, the low and lower-middle-income countries had lower scores in the GGI, and lower scores in the economic participation, educational attainment, and political empowerment sub-indices than the high-income group. Among the four sub-indices, the educational attainment sub-index showed a significant inverse correlation with the MMR in low and lower-middle-income countries when controlling for the proportion of skilled birth attendance and public share of health expenditure. This finding suggests that strategic efforts to reduce the gender gap in educational attainment could lead to improvements in maternal health in low and lower-middle-income countries.N
Effectiveness of a Technology-Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge Cluster Randomized Trial in Nursing Homes
Get PDFBackground and Objectives: The objective of this study was to evaluate the impact of an information and communication technologies (ICT)-enhanced, multidisciplinary integrated care model, called Systems for Person-centered Elder Care (SPEC), on frail older adults at nursing homes. Research Design and Methods: SPEC was implemented at 10 nursing homes in South Korea in random order using a stepped-wedge design. Data were collected on all participating older residents in the homes before the first implementation and until 6 months after the last implementation. The 21-month SPEC intervention guided by the chronic care model (CCM) consists of 5 strategies: comprehensive geriatric assessment, care planning, optional interdisciplinary case conferences, care coordination, and a cloud-based ICT tool along with a free messaging app. The primary outcome was quality of care measured by a composite quality indicator (QI) from the interRAI assessment system. Usual care continued over the control periods. Nursing home staff were not blinded to the intervention. Results: There were a total of 482 older nursing home residents included in the analysis. Overall quality of care measured by the composite QI was significantly improved (adjusted mean difference: -0.025 [95% CI: -0.037 to -0.014, p<.0001]). The intervention effect was consistent in the subgroup analysis by cognition and activities of daily living. There were no important adverse events or side effects. Discussion and Implications: The SPEC, a CCM-guided, ICT-supported, multidisciplinary integrated care management intervention, can improve the quality of care measured by health and functional outcomes for frail older persons residing in nursing homes with limited health care provision
A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults
No full textAs life expectancy increases, there is a growing consensus on the development of integrated care encompassing the health and daily activities of older adults. In recent years, although the demand for machine learning applications in healthcare has increased, only a few studies have implemented machine learning-based systems in integrated care for older adults owing to the complex needs of older adults and the coarseness of the available data. Our study aims to explore the possibility of implementing machine learning decision-support algorithms in the integrated care of older community-dwelling adults. Our experiment uses secondary data based on the community-based integrated service model. Such data were collected from 511 older adults through 162 assessment items in which tailored services were selected from 18 available services. We implemented four machine learning models: decision tree, random forest, K-nearest neighbors, and multilayer perceptron. The area under the receiver operating characteristic curve results of the four models were decision tree = 0.89, K-nearest neighbors = 0.88, random forest = 0.93, and multilayer perceptron = 0.88. The results suggest that machine learning-based decision-assisting algorithms can improve the quality of tailored services for integrated care with intensive involvement of face-to-face tasks by reducing the simple, repetitive tasks of care managers.N
Depressive symptoms, chronic medical illness, and health care utilization: findings from the Korean Longitudinal Study of Ageing (KLoSA)
Get PDFBackground: This population-based study examined the relative and combined relationships of chronic medical illness (CMI) and depressive symptoms with health care utilization among older adults in South Korea.Methods: A nationally representative sample of 3224 older adults participating in the Korean Longitudinal Study of Ageing (KLoSA) were categorized into four groups based on clinical characteristics: CMI only; depressive symptoms only; CMI and depressive symptoms; and neither CMI nor depressive symptoms. We estimated the use of various health care services by the groups while adjusting for clinical and sociodemographic characteristics.Results: Depressive symptoms, as measured by the short-form Center for Epidemiological Studies-Depression scale (CES-D10), were prevalent, often occurring together with CMI in community-dwelling older adults in South Korea. Having depressive symptoms was positively associated with the use of inpatient services, outpatient physician services, and public health centers. The odds of using health care services were larger among older people with both depressive symptoms and CMI than depressive symptoms only.Conclusions: Self-reported depressive symptoms and self-reported CMI are prevalent among older adults in South Korea, often occurring together and possibly increasing health care utilization. These findings imply a need for chronic disease management targeting older people with complex mental and medical conditions and evaluation of its effects on health outcomes and service use.OAIID:oai:osos.snu.ac.kr:snu2011-01/102/0000052039/1SEQ:1PERF_CD:SNU2011-01EVAL_ITEM_CD:102USER_ID:0000052039ADJUST_YN:YEMP_ID:A077862DEPT_CD:801CITE_RATE:2.24FILENAME:40_Depressive symptoms, chronic medical illness, and health care utilization_KLoSA.pdfDEPT_NM:의학과EMAIL:[email protected]_YN:YCONFIRM:
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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