1,720,966 research outputs found
A cross-sectional study on public health nurses' disaster competencies and influencing factors during the COVID-19 pandemic in Korea
Get PDFPublic health nurses are performing various roles during the COVID-19 pandemic: counseling, surveillance, specimen collection, epidemiological investigation, education, and vaccination. This study investigated their disaster competencies in the context of emerging infectious diseases, and identified their influencing factors based on Deci and Ryan's self-determination theory. A convenience sample of 242 was selected from public health nurses working in a metropolitan city of South Korea. Data were collected using a structured questionnaire and analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation, and multiple regression analysis using the SPSS Statistics ver. 23.0. Results showed that the significant factors influencing disaster competencies included "willingness to respond to a disaster," "preventive behavior," "experience of receiving education on emerging infectious diseases response," "public health center experience," "job satisfaction," and "education." This regression model explained 33.2% of the variance in disaster competencies. "Willingness to respond to a disaster" was the strongest factor affecting disaster competencies. Based on these results, it is concluded that interventions to improve disaster competencies and psychological well-being of public health nurses are needed. Additionally, strategies such as creating a supportive work environment, deploying experienced nurses primarily on the front line, and reducing the tasks of permanent public health nurses should be implemented.N
Contributing factors to the length of stay and discharge destination of home health care patients: 10-year electronic health record analysis using the Donabedian model
No full textAimTo identify the factors affecting the length of stay (LOS) and discharge destination (DD) of home health care (HHC) patients in South Korea.MethodsA retrospective cross-sectional study was conducted using the electronic health records of 1769 patients from a hospital in South Korea. Data were collected from January 2013 to December 2022. We categorized the independent variables into patient context, structure, and process factors following a modification of Donabedian's model. Hierarchical and multinomial logistic regression analyses were used.ResultsThe mean length of stay was 26.41 days. Patients were discharged to the following locations: 35.0% continued HHC, 21.0% died, 19% were discharged to their homes, 17.0% were admitted, and 8.0% were sent to other locations. Patients' sex, type of insurance coverage, and primary caregiver as well as the number of nurse visits, HHC admission route, and type of nursing service were predictors of their LOS. Operation history, a high Charlson comorbidity index, the type of insurance coverage, HHC admission route, and certain nursing care services were associated with admission and death as the DD.ConclusionsProcess variables (e.g., number of nurse visits, HHC admission route, type of nursing services) have a considerable influence on determining the LOS and DD of HHC patients. This result provides new insights into the use of HHC services and care transitions out of the hospital for patients living in their home, offering evidence to reduce unnecessary readmissions and ensure more effective and efficient HHC.N
Detecting Language Associated With Home Healthcare Patient's Risk for Hospitalization and Emergency Department Visit
No full textBackground About one in five patients receiving home healthcare (HHC) services are hospitalized or visit an emergency department (ED) during a home care episode. Early identification of at-risk patients can prevent these negative outcomes. However, risk indicators, including language in clinical notes that indicate a concern about a patient, are often hidden in narrative documentation throughout their HHC episode. Objective The aim of the study was to develop an automated natural language processing (NLP) algorithm to identify concerning language indicative of HHC patients' risk of hospitalizations or ED visits. Methods This study used the Omaha System-a standardized nursing terminology that describes problems/signs/symptoms that can occur in the community setting. First, five HHC experts iteratively reviewed the Omaha System and identified concerning concepts indicative of HHC patients' risk of hospitalizations or ED visits. Next, we developed and tested an NLP algorithm to identify these concerning concepts in HHC clinical notes automatically. The resulting NLP algorithm was applied on a large subset of narrative notes (2.3 million notes) documented for 66,317 unique patients (n = 87,966 HHC episodes) admitted to one large HHC agency in the Northeast United States between 2015 and 2017. Results A total of 160 Omaha System signs/symptoms were identified as concerning concepts for hospitalizations or ED visits in HHC. These signs/symptoms belong to 31 of the 42 available Omaha System problems. Overall, the NLP algorithm showed good performance in identifying concerning concepts in clinical notes. More than 18% of clinical notes were detected as having at least one concerning concept, and more than 90% of HHC episodes included at least one Omaha System problem. The most frequently documented concerning concepts were pain, followed by issues related to neuromusculoskeletal function, circulation, mental health, and communicable/infectious conditions. Conclusion Our findings suggest that concerning problems or symptoms that could increase the risk of hospitalization or ED visit were frequently documented in narrative clinical notes. NLP can automatically extract information from narrative clinical notes to improve our understanding of care needs in HHC. Next steps are to evaluate which concerning concepts identified in clinical notes predict hospitalization or ED visit.N
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
- …
