Although the negative impact of disruptive clinician behavior on quality health care delivery has gained attention recently, little systematic effort to address this issue has been reported. To facilitate empirical research to reduce disruptive clinician behaviors, an assessment tool (Johns Hopkins Disruptive Clinician Behavior Survey [JH-DCBS]) with 5 discrete subscales was developed using a 2-step design. First a pool of items was generated from focus group studies and the literature, and then a psychometric evaluation of the survey was conducted with a sample of clinicians (N = 1198) practicing in a large urban academic medical center. The results indicated that the tool was reliable (Cronbach α = .79-.91), showed high content validity (Content Validity Index = .97), and had significantly high correlations with theoretically selected variables. The study team concluded that the JH-DCBS provides a valid empirical assessment of disruptive behavior. Assessment results may be used to design strategies to improve the health and safety of practice environments.
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http://dx.doi.org/10.1177/1062860614544193 | DOI Listing |
J Med Internet Res
December 2024
Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Brisbane, Australia.
Traditionally, medical research is based on randomized controlled trials (RCTs) for interventions such as drugs and operative procedures. However, increasingly, there is a need for health research to evolve. RCTs are expensive to run, are generally formulated with a single research question in mind, and analyze a limited dataset for a restricted period.
View Article and Find Full Text PDFYale J Biol Med
December 2024
National Influenza Centre, Noguchi Memorial Institute for Medical Research, Accra, Ghana.
The Coronavirus Disease 2019 (COVID-19) pandemic, driven by the novel coronavirus and its variants, has caused over 518 million infections and 6.25 million deaths globally, leading to a significant health crisis. Beyond its primary respiratory impact, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has been implicated in various extra-pulmonary complications.
View Article and Find Full Text PDFJ Eat Disord
December 2024
The InsideOut Institute for Eating Disorders, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia.
Background: Access to evidence-based treatments such as family-based therapy (FBT) is difficult for adolescents diagnosed with Anorexia Nervosa (AN) living in rural or regional areas due to a limited trained workforce, high staff turnover and inconsistent treatment fidelity. Telehealth offers a potential access solution by facilitating care irrespective of family or service location. The disruption to the health system caused by COVID-19 amplified an existing need and increased the use of telehealth to deliver FBT before its efficacy and safety was fully evaluated.
View Article and Find Full Text PDFCurr Diab Rep
December 2024
Department of Behavioral and Community Health, School of Public Health, University of Maryland, 4200 Valley Dr., Suite 1234, 20742, College Park, MD, United States of America.
Purpose Of Review: This literature review highlights the behavioral and biological mechanisms that link racial discrimination to type 2 diabetes (T2D) risk, self-management, and related complications in the Black population in the United States. Next steps are discussed and include recommendations for disease mitigation.
Recent Findings: Black Americans are exposed to high levels of stress, with many stressors rooted in racial discrimination, a psychosocial factor that inhibits positive behavior change and disrupts bodily systems and functioning.
J Pain Res
December 2024
NXTSTIM, San Diego, CA, USA.
Remote Patient Monitoring (RPM) stands as a pivotal advancement in patient-centered care, offering substantial improvements in the diagnosis, management, and outcomes of chronic conditions. Through the utilization of advanced digital technologies, RPM facilitates the real-time collection and transmission of critical health data, enabling clinicians to make prompt, informed decisions that enhance patient safety and care, particularly within home environments. This narrative review synthesizes evidence from peer-reviewed studies to evaluate the transformative role of RPM, particularly its integration with Artificial Intelligence (AI), in managing chronic conditions such as heart failure, diabetes, and chronic pain.
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