1,720,958 research outputs found
Prevalence and accuracy of nursing diagnoses in patients with malignant bronchial and lung cancer: A retrospective observational study
No full textPurpose: To describe the prevalence and accuracy of nursing diagnoses (NDs) in adult patients with malignant bronchial and lung cancer. Methods: A retrospective, observational, monocentric study was conducted at the largest university hospital in Rome, Italy. Electronic health records (EHRs) of adult inpatients (≥18 years) hospitalized in 2022 with malignant bronchial and lung cancer were analyzed. NDs were documented using the Professional Assessment Instrument (PAI), a clinical nursing information system based on the Clinical Care Classification (CCC) standardized nursing terminology. The accuracy of nursing documentation was assessed with the D-Catch instrument, evaluating record structure, admission data, ND formulation, interventions, progress/outcome evaluations, and legibility. Descriptive statistics were used to analyze ND prevalence and documentation accuracy. Results: A total of 682 EHRs were examined, identifying 3510 NDs across 34 distinct labels. Patients had a mean of 5.15 NDs (SD: 2.99; range: 1–16). Ten high-frequency NDs were identified, with Infection Risk (76.7 %), Fall Risk (66.6 %), and Acute Pain (53.1 %) emerging as the most prevalent. Overall documentation accuracy was high across most dimensions; however, ND formulation showed comparatively lower accuracy (mean score: 6.38; SD: 0.98). Conclusions: Evaluating the prevalence and accuracy of nursing diagnoses enhances the understanding of the complex care needs of patients with malignant bronchial and lung cancer, a population marked by significant clinical vulnerability and multidimensional care requirements. Strengthening diagnostic reasoning—through structured documentation systems and continuous training—may improve care planning, facilitate interdisciplinary communication, and ultimately optimize patient outcomes
Determinants of Prolonged Hospitalization in Children and Adolescents: A Retrospective Observational Study
No full textIntroduction: Ensuring an appropriate length of stay (LOS) is a primary goal for hospitals, as prolonged LOS poses clinical risks and organizational challenges. Children and adolescents are particularly susceptible to prolonged LOS due to frequent hospitalizations and unique vulnerabilities, including developmental disabilities that may necessitate additional care and monitoring. This study aims to describe the LOS of children and adolescent patients and identify the sociodemographic, organizational, clinical, and nursing care factors contributing to prolonged LOS in this population. Design: Observational, retrospective, monocentric study. Methods: A sequential sampling approach was used to select the clinical records of 1538 children and adolescent patients admitted to an Italian university hospital in 2022. The study included all children and adolescents aged 3-18 who were hospitalized for a minimum of 2 days. Patients from outpatient units and those with LOS shorter than 2 days were excluded. The Neonatal Pediatric Professional Assessment Instrument (PAIped) and the Hospital Discharge Register were used to collect sociodemographic, organizational, clinical, and nursing care patient data, including nursing diagnoses (NDs) and nursing actions (NAs). A forward stepwise regression approach was used to identify predictors of LOS among the selected variables. A mediation analysis was conducted to explore the role of nursing predictors, identified in the stepwise regression, as mediators between the number of medical diagnoses and LOS. Results: Positive correlations between the number of medical diagnoses, NDs, NAs, and LOS were discovered (rs = 0.262, p = < 0.001; rs = 0.114, p = < 0.001; rs = 0.384, p = < 0.001, respectively). Longer hospital stays were associated with an increased number of medical diagnoses, NDs, and NAs. The number of NAs emerged as an independent predictor of LOS (β = 0.516; p < 0.001). Other significant determinants of LOS included a higher number of NAs and medical diagnoses, the presence of a medical DRG category, increased DRG weight, emergency admissions, residency in rural areas, and older age (F = 122.222, p < 0.001, R2 = 0.361, adjusted R2 = 0.358). The mediation analysis showed that the number of medical diagnoses positively predicted the number of NAs (β = 2.774, p < 0.001), which, in turn, positively affected LOS (β = 0.162, p < 0.001). A significant indirect effect of the number of medical diagnoses on LOS through NAs was observed (β = 0.448, 95% CI [0.34, 0.55]), along with a significant direct effect of medical diagnoses on LOS, even with the mediator in the model (β = 0.633, p < 0.001), indicating partial mediation (F = 321.6892; R2 = 0.295; p < 0.001). These results highlight the influence of medical diagnoses on LOS through the mediating role of NAs. Conclusions: Our study highlights the significant interplay between determinants of LOS in children and adolescent patients, emphasizing the need for targeted interventions, resource planning, and the integration of clinical nursing information systems to enhance care quality and support evidence-based practices. Clinical relevance: Optimizing resource distribution and implementing specific interventions for patients at risk of prolonged LOS could help mitigate this negative outcome and enhance the quality of care. Incorporating nursing data into DRG systems could improve reimbursement accuracy and benefit the nursing profession, which may result in better patient outcomes and lower hospital expanses
Nursing Complexity and Health Literacy as Determinants of Patient Outcomes: A Prospective One-Year Multicenter Cohort Study
Full text linkBackground/Objectives: Although nursing complexity and health literacy (HL) are critical determinants of patient outcomes, their combined impact on mortality, hospital re-admissions, and emergency department (ED) visits remains poorly understood. This study aims to measure nursing complexity and HL in hospitalized patients, examine their interaction, and analyze their impacts on mortality, hospital re-admissions, and ED visits over a one-year follow-up period. Methods: Adult patients from two hospital centers were enrolled, excluding those with stays under two days or cognitive impairments. Data were collected at baseline to assess nursing complexity (measured according to the number of nursing diagnoses assigned to patients within 24 h from hospital admission) and HL (assessed using the Single-Item Literacy Screener, SILS). Patients were followed during a 12-month follow-up period to track mortality, hospital re-admissions, and ED visits. Latent class analysis classified patients into distinct nursing complexity and HL profiles. Survival analyses and Cox proportional hazard models were used to evaluate the relationships between variables. Results: At baseline, among the 2667 enrolled patients, 55.9% were classified as having high nursing complexity, and 32% had inadequate HL. High nursing complexity was associated with lower HL (r = 0.384; p < 0.001). During follow-up, 387 patients (14.5%) were lost. Of the remaining sample, mortality occurred in 8.3% of the patients, hospital re-admissions in 27.2%, and ED visits in 16.8%. Nursing complexity was significantly associated with higher mortality (HR: 1.84, adjusted HR: 1.81), but not with hospital re-admissions or ED visits. The patients with inadequate HL (32%) had increased risks of mortality (HR: 11.21, adjusted HR: 7.75), hospital re-admissions (HR: 3.61, adjusted HR: 3.58), and ED visits (HR: 20.78, adjusted HR: 14.45). The patients with both high nursing complexity and inadequate HL had the highest mortality risk and the lowest 12-month survival rate (75%; 95% CI: 71.1–79.1%; p < 0.001). Conclusions: This study demonstrates that both high nursing complexity and inadequate HL independently and jointly contribute to adverse patient outcomes. Interventions targeting HL and supporting patients with high nursing complexity could reduce risks, enhance care, and improve patient survival. While these findings underscore the critical role of both factors in patient outcomes, the limitations include this study’s single-country setting and reliance on a single-item HL measure. Future research should validate these findings in broader healthcare contexts and integrate multidimensional HL assessments for a more comprehensive evaluation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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