Objective: This study assessed individual and organizational context (work environment) factors that influence use of best practices by care aides (nursing assistants) in nursing homes. Little scientific attention has been focused on understanding best practice use in nursing homes and almost none on care aides.
Setting And Participants: A total of 1262 care aides in 25 nursing homes in the 3 Canadian prairie provinces. Care aides are unregulated workers who provide 80% of direct care to residents in Canadian nursing homes.
Method: We used hierarchical linear modeling to (1) assess the amount of variance in use of best practices, as reported by care aides, that could be attributed to individual or organizational factors, and (2) identify predictors of best practices use by care aides.
Results: At the individual level, statistically significant predictors of instrumental use of best practices included sex, age, shift worked, job efficacy, and belief suspension. At the unit level, significant predictors were social capital, organizational slack (staffing and time), number of informal interactions, and unit type. At the facility level, ownership model and province were significant. Significant predictors of conceptual use of best practices at the individual level included English as a first language, job efficacy, belief suspension, intent to use research, adequate knowledge, and number of information sources used. At the unit level, significant predictors were evaluation (feedback mechanisms), structural resources, and organizational slack (time). At the facility level, province was significant. The R(2) was 18.3% for instrumental use of best practices and 43.4% for conceptual use. Unit level factors added a substantial amount of explained variance whereas facility level factors added relatively little explained variance.
Conclusions: Our study suggests that context plays an important role in care aides' use of best practices in nursing homes. Individual characteristics played a more prominent role than contextual factors in predicting conceptual use of best practices.
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http://dx.doi.org/10.1016/j.jamda.2015.03.009 | DOI Listing |
Trials
December 2024
Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Vancomycin, an antibiotic with activity against methicillin-resistant Staphylococcus aureus (MRSA), is frequently included in empiric treatment for community-acquired pneumonia (CAP) despite the fact that MRSA is rarely implicated in CAP. Conducting polymerase chain reaction (PCR) testing on nasal swabs to identify the presence of MRSA colonization has been proposed as an antimicrobial stewardship intervention to reduce the use of vancomycin. Observational studies have shown reductions in vancomycin use after implementation of MRSA colonization testing, and this approach has been adopted by CAP guidelines.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBMC Infect Dis
December 2024
Department of Medicine, McMaster University, Hamilton, ON, Canada.
Background: To compare the effectiveness of four surveillance strategies for detecting SARS-CoV-2 within the homeless shelter population in Hamilton, ON and assess participant adherence over time for each surveillance method.
Methods: This was an open-label, cluster-randomized controlled trial conducted in eleven homeless shelters in Hamilton, Ontario, from April 2020 to January 2021. All participants who consented to the study and participated in the surveillance were eligible for testing by self-swabbing.
Curr Probl Diagn Radiol
December 2024
Department of Radiology, Massachusetts General Hospital, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Alzheimers Dement
December 2024
Northwestern Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Chicago, Illinois, USA.
The Alzheimer's Association convened a Diagnostic Evaluation, Testing, Counseling and Disclosure Clinical Practice Guideline workgroup to help combat the major global health challenges surrounding the timely detection, accurate diagnosis, and appropriate disclosure of mild cognitive impairment (MCI) or dementia due to Alzheimer's disease (AD) or other diseases that cause these types of cognitive-behavioral disorders. The newly published clinical practice guidelines are proposed as a structured approach to evaluation. The purpose of the present article is to provide a clinical perspective on the use of neuropsychology within the new framework and practice guidelines outlined under the Diagnostic Evaluation, Testing, Counseling and Disclosure of Suspected Alzheimer's Disease and Related Disorders (DETeCD-ADRD) recommendations for primary care and specialty care.
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