Search

This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005.Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%,50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences,and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing. [ABSTRACT FROM AUTHOR]

Despite a very large number of studies on the aging and obsolescence of scientific literature, no study has yet measured, over a very long time period, the changes in the rates at which scientific literature becomes obsolete. This article studies the evolution of the aging phenomenon and, in particular, how the age of cited literature has changed over more than 100 years of scientific activity. It shows that the average and median ages of cited literature have undergone several changes over the period. Specifically, both World War I and World War II had the effect of significantly increasing the age of the cited literature. The major finding of this article is that contrary to a widely held belief, the age of cited material has risen continuously since the mid-1960s. In other words, during that period, researchers were relying on an increasingly old body of literature. Our data suggest that this phenomenon is a direct response to the steady-state dynamics of modern science that followed its exponential growth; however, we also have observed that online preprint archives such as arXiv have had the opposite effect in some subfields. [ABSTRACT FROM AUTHOR]

Colleen E Jackson,1–3 Laura J Grande,1–3 Kelly Doherty,1 Elizabeth Archambault,1 Brittany Kelly,1 Jane A Driver,1,4 William P Milberg,1,2,5 Regina McGlinchey,1,2,5 James L Rudolph6,7 1Geriatric Research, Education and Clinical Center, Department of Veterans Affairs (VA) Boston Healthcare System, Boston, MA, 2Translational Research Center for TBI and Stress Disorders, Department of Veterans Affairs (VA) Boston Healthcare System, Boston, MA, 3Department of Psychiatry, Boston University School of Medicine, Boston, MA, 4Department of Medicine, Harvard Medical School, Boston, MA, 5Department of Psychiatry, Harvard Medical School, Boston, MA, 6Center of Innovation in Long Term Services and Supports, Department of Veterans Affairs (VA) Providence Medical Center, Providence, RI, 7Department of Medicine, Warren Alpert School of Medicine of Brown University, Providence, RI, USA Purpose: Cognitive screening upon hospital admission can provide important information about the patient’s ability to process information during the inpatient stay. The Clock-in-the-Box (CIB) is a rapidly administered cognitive screening measure which has been previously validated with cognitive screening and neuropsychological assessments. The purpose of this study is to demonstrate the predictive validity of the CIB for discharge location among a sample of older medical inpatients. Patients and methods: Hospitalized Veterans (N=218), aged 55 years and older, were recruited on the day after admission after they gave their consent. These participants completed the CIB, the Montreal Cognitive Assessment, and self-report measures of daily functioning. Using logistic regression models, the bivariable and multivariable impact of the cognitive screening and functional assessments were examined for their ability to predict whether the participants did not return home after hospitalization (eg, admission to subacute rehabilitation facilities or nursing facilities). Results: The participants were older (mean 71.5±9.5 years) and predominantly male (92.7%). The CIB score was independently associated with discharge to locations other than home (odds ratio =0.72, 95% confidence interval =0.60–0.87, P=0.001) and remained associated after adjusting for demographics, prehospitalization functional abilities, and Montreal Cognitive Assessment score (adjusted odds ratio =0.55, 95% confidence interval =0.36–0.83, P=0.004). Conclusion: The current evidence, combined with its brevity and ease of use, supports the use of the CIB as a cognitive screen for inpatient older adults, in order to help inform clinical treatment decisions and discharge planning. Keywords: cognition, screening, aging, hospitalization, care transition

Kelly Doherty,1 Elizabeth Archambault,1 Brittany Kelly,1,2 James L Rudolph1,3,4 1Geriatric Research, Education, and Clinical Center, VA Boston Healthcare System, Boston, MA, USA; 2School of Nursing, Science & Health Professions, Regis College, Boston, MA, USA; 3Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA; 4Harvard Medical School, Boston, MA, USA Background: When a hospitalized older patient falls or develops delirium, there are significant consequences for the patient and the health care system. Assessments of inattention and altered consciousness, markers for delirium, were analyzed to determine if they were also associated with falls. Methods: This retrospective case-control study from a regional tertiary Veterans Affairs referral center identified falls and delirium risk factors from quality databases from 2010 to 2012. Older fallers with complete delirium risk assessments prior to falling were identified. As a control, non-fallers were matched at a 3:1 ratio. Admission risk factors that were compared in fallers and non-fallers included altered consciousness, cognitive performance, attention, sensory deficits, and dehydration. Odds ratio (OR) was reported (95% confidence interval [CI]). Results: After identifying 67 fallers, the control population (n=201) was matched on age (74.4±9.8 years) and ward (83.6% medical; 16.4% intensive care unit). Inattention as assessed by the Months of the Year Backward test was more common in fallers (67.2% versus 50.8%, OR=2.0; 95% CI: 1.1–3.7). Fallers tended to have altered consciousness prior to falling (28.4% versus 12.4%, OR=2.8; 95% CI: 1.3–5.8). Conclusion: In this case-control study, alterations in consciousness and inattention, assessed prior to falling, were more common in patients who fell. Brief assessments of consciousness and attention should be considered for inclusion in fall prediction. Keywords: geriatrics, patient centered outcomes research, patient safety

Importance: Physical assault during childhood is common and can lead to lasting mental health problems. Yet, there are few studies on the patterns of mental illness (ie, timing of onset, type, and acuity) in survivors of physical assault., Objective: To determine the risk of incident health record diagnoses of mental illness among children who experienced assault compared with children who did not., Design, Setting, and Participants: This population-based matched cohort study used linked health administrative data sets in Ontario, Canada. Children aged 0 to 13 years who experienced an incident physical assault between 2006 and 2014 were age-matched (1:4) to children who had not experienced assault and followed up for a minimum of 5 years. Data were analyzed from January 2020 to March 2022., Exposure: Physical assault resulting in hospitalization or an emergency department (ED) visit between the ages of 0 and 13 years., Main Outcomes and Measures: The primary outcome was incident health record diagnosis of mental illness measured as any physician or hospital mental health care use or completed suicide. Secondary outcome measures included the acuity of incident mental illness and mental illness diagnostic category. Cox proportional hazards regression analysis generated hazard ratios (HR) for incident mental illness., Results: A total of 21 948 children unexposed to assault and 5487 exposed to assault were included in the study with a mean (SD) age of 7.0 (4.6) years. There were more boys in the group that experienced assault (3006 individuals [54.8%]) compared with the group who did not (9909 individuals [45.1%]). Compared with children unexposed to assault, those exposed were more likely to be in the highest deprivation index quintile (standardized difference, 0.21) and live in rural areas (standardized difference, 0.48). Their mothers more often had active mental illness (standardized difference, 0.35). More than one-third of the exposed children had a health record diagnosis of mental illness (2219 children [38.6%]; incidence rate (IR), 53.3 per 1000 person-years) compared with 23.4% (5130 children; IR, 32.2 per 1000 person-years) of unexposed children, with an overall adjusted hazard ratio (aHR) of 1.96 (95% CI, 1.85-2.08). The greatest risk was observed in the first year following the assault (aHR, 3.08; 95% CI, 2.68-3.54). In both groups, nonpsychotic disorders were the most common type of mental illness. Initial mental illness diagnoses occurred in an acute care setting for 14.0% of exposed children (769 children) vs 2.8% of unexposed children (609 children)., Conclusions and Relevance: In this population-based matched cohort study, children who experienced assault had, on average, a 2 times higher risk of receiving a mental illness diagnosis and were more likely than children who had not experienced assault to present to acute care for mental illness. Early intervention to support mental health of assaulted children is warranted, particularly in the first year following assault.

Background: Traumatic head injury due to child maltreatment (THI-CM), also known as abusive head trauma (AHT), is a significant public health problem due to the wide array of consequences affecting multiple domains of a child's health and development. Several studies have evaluated its cost on healthcare systems, families, and societies. Many jurisdictions have implemented caregiver education programs to prevent THI-CM., Objectives: This paper aims to provide a brief overview of the epidemiology and cost analysis of THI-CM and discuss its prevention and the intergenerational transmission of child maltreatment., Methods: Although not systematic, a literature search of original articles published from 2000 to 2022 in English and French was undertaken using the following databases: PubMed, EMBASE (Ovid), and PsycINFO (OVID). The search combined terms related to traumatic head injury and child maltreatment, with terms related to its cost and prevention. Studies of children aged 0-5 years old were included. The authors completed a screen of the titles and abstracts to determine relevance with respect to this article., Results: Globally, although THI-CM accounts for a small proportion of cases of child maltreatment, there is a high incidence of death and neurological sequelae compared to other causes of head trauma.The incidence of THI-CM is likely underestimated due to the lack of standardized definitions, differences in reporting, and challenges in identifying less severe cases. Cost analysis studies reveal the significant short- and long-term costs associated with THI-CM. Caregiver education programs have been studied and implemented in many centers and have shown varying but promising results., Conclusion: A multi-pronged approach to prevention efforts should be considered to support families and help to prevent THI-CM and maltreatment throughout childhood., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require continuous work as new classification techniques becomes available and as new research topics emerge. Convolutional neural networks, a subset of "deep learning" approaches, have recently offered novel and highly performant methods for classifying voluminous corpora of text. This article benchmarks a deep learning classification technique on more than 40 million scientific articles and on tens of thousands of scholarly journals. The comparison is performed against bibliographic coupling-, direct citation-, and manual-based classifications-the established and most widely used approaches in the field of bibliometrics, and by extension, in many science and innovation policy activities such as grant competition management. The results reveal that the performance of this first iteration of a deep learning approach is equivalent to the graph-based bibliometric approaches. All methods presented are also on par with manual classification. Somewhat surprisingly, no machine learning approaches were found to clearly outperform the simple label propagation approach that is direct citation. In conclusion, deep learning is promising because it performed just as well as the other approaches but has more flexibility to be further improved. For example, a deep neural network incorporating information from the citation network is likely to hold the key to an even better classification algorithm., Competing Interests: I have read the journal’s policy and the authors of this manuscript are employed by a commercial company, Elsevier BV and its daughter company Science-Metrix Inc., 1science. This does not alter the authors’ adherence to all the PLoS ONE policies on sharing data and materials.

This paper uses the Medline biomedical papers database to measure scientific production on mental health in the workplace (MHWP) during the 1991"2002 period at the world, Canadian, provincial, urban, institutional and researcher levels. The level of scientific output has doubled at the world level and tripled at the Canadian level during the last 12 years. At the provincial level, Ontario, Quebec, British Columbia and Alberta are leading in absolute number of papers. Ontario largely dominates both in terms of output and on a per capita basis. At the level of cities, Toronto and Montreal are the largest producers of papers on MHWP. The most important institutions in terms of papers on MHWP are McMaster University, Universite de Montreal, the University of Toronto, the University of British Columbia and the University of Western Ontario. The universities with the largest number of active researchers in MHWP are McMaster University, Universite Laval and York University.