Target: To evaluate the evolution of falls with the implemented measures to improve the attention of patients at risk and to reduce the number of falls. To know the characteristics of patients who have suffered fall-related injuries.
Method: All the falls registered between 2008 and 2013 have been analyzed to determine the evolution of these and to describe the implemented measures through the electronic clinical history at University Hospital of Fuenlabrada. The incidence of falls in hospitalized patients has been estimated and the evolution with the chi square test has been studied. The frequencies of the characteristics of patients who fall has been presented: age, length of stay, performed activity, patient companion, mobility level, state of consciousness.
Results: 445 registered falls happened. 2009 is the year with the highest number of falls, 86 patients fell of a total of 15,819 discharged patients (0.55%). The statistic drops until 2013, where 55 patients fell out of 15,052 discharged patients (0.37%). This difference was not statistically significant.
Conclusion: The deployment of an assessment about fall risk at admission has helped to identify individualized risk factors. Furthermore, the awareness and alerts to the nursing staff have helped to consider fall prevention as a rutinary procedure, hence appropriate measures can be implemented on the most vulnerable patients.
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http://dx.doi.org/10.1016/j.enfcli.2016.01.002 | DOI Listing |
AIDS Care
January 2025
Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Violence experience, interpersonal and community-level, is commonly reported by people living with HIV (PLWH). Understanding the impact of the various forms of violence on HIV outcomes is critical for prioritizing violence screening and support resources in care settings. From February 2021 to December 2022, among 285 PLWH purposively sampled to attain diversity by gender, race/ethnicity, and HIV care retention status in Atlanta, Georgia, we examined interpersonal and community violence experiences and proxy measures of violence (post-traumatic stress disorder (PTSD), anxiety, depression) and their associations with HIV outcomes (engagement and retention in care and HIV viral suppression) using multivariable analysis.
View Article and Find Full Text PDFSports Health
January 2025
Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.
Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.
Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
JMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
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