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1.
Cannabis ; 6(1): 9-19, 2023.
Article in English | MEDLINE | ID: mdl-37287732

ABSTRACT

Background: ß-myrcene, one of the most common terpenes found in cannabis, has been associated with sedation. We propose that ß-myrcene contributes to driving impairment even in the absence of cannabinoids. Aim: To conduct a double-blind, placebo-controlled crossover pilot study of the effect of ß- myrcene on performance on a driving simulator. Method: A small sample (n=10) of participants attended two experimental sessions, one in which they were randomized to receive 15 mg of pure ß-myrcene in a capsule versus a canola oil control. Each session, participants completed a baseline block and three follow-up blocks on a STISIM driving simulator. Results: ß-myrcene was associated with statistically significant reductions in speed control and increased errors on a divided attention task. Other measures did not approach statistical significance but fit the pattern of results consistent with the hypothesis that ß-myrcene impairs simulated driving. Conclusions: This pilot study produced proof-of-principle evidence that the terpene ß-myrcene, an agent commonly found in cannabis, can contributes to impairment of driving-related skills. Understanding how compounds other than THC affect driving risk will strengthen the field's understanding of drugged driving.

2.
J Eval Clin Pract ; 22(6): 985-989, 2016 Dec.
Article in English | MEDLINE | ID: mdl-27440380

ABSTRACT

RATIONALE, AIMS AND OBJECTIVES: Patient safety culture may have a significant influence on safety processes and outcomes. Therefore, it is important to have valid tools to measure patient safety culture in order to identify potential levers for cultural change that could improve patient safety. The 65-item Department of Veterans Affairs Patient Safety Culture Survey (VA PSCS) consists of 14 dimensions and is administered biannually to VA employees. Test-retest reliability of the VA PSCS has not been established. METHODS: We conducted repeated administrations of the VA PSCS among 28 VA employees. We measured intraclass correlation coefficients for each item and dimension. RESULTS: Test-retest intraclass correlation coefficient values were 0.7 or greater for 13 out of 14 dimensions of the VA PSCS. Employees had difficulty reliably reporting how others feel about patient safety. CONCLUSIONS: In general, the VA PSCS survey showed adequate test-retest reliability. Items asking what others think or feel showed lower reliability. Further work is needed to better understand the relationship between safety culture, safety processes and safety outcomes.


Subject(s)
Organizational Culture , Patient Safety , Surveys and Questionnaires/standards , United States Department of Veterans Affairs , Female , Humans , Male , Reproducibility of Results , United States
3.
J Patient Saf ; 8(2): 60-4, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22543364

ABSTRACT

OBJECTIVES: The Veterans Health Administration patient safety reporting system receives more than 100,000 reports annually. The information contained in these reports is primarily in the form of natural language text. Improving the ability to efficiently mine these patient safety reports for information is the objective of a proposed semi-supervised method. METHODS: A semi-supervised classification method leverages information from both labeled and unlabeled reports to predict categories for the unlabeled reports. RESULTS: Two different scenarios involving a semi-supervised learning process are examined, and both demonstrate good predictive results. CONCLUSIONS: The semi-supervised method shows much promise in assisting researchers and analysts toward accurately and more quickly separating reports of varying and often overlapping topics. The method is able to use the "stories" provided in patient safety reports to extend existing patient safety taxonomies beyond their static design.


Subject(s)
Documentation/methods , Patient Safety/statistics & numerical data , Safety Management/classification , Safety Management/methods , Algorithms , Artificial Intelligence , Humans , Information Storage and Retrieval , Mandatory Reporting , United States , United States Department of Veterans Affairs
4.
BMJ Qual Saf ; 20(11): 974-82, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21775506

ABSTRACT

BACKGROUND: The Veterans Health Administration has had a comprehensive patient safety program since 1999 that includes conducting root cause analysis (RCA) of adverse medical events. Improving the quality and timeliness of the RCAs at the local level has been a continual challenge. METHODS: We initiated a non-monetary program called the Cornerstone Award into our patient safety reporting system to recognise facilities conducting high-quality and timely RCAs containing deterministic corrective actions that are implemented and evaluated for effectiveness. RESULTS: Since the Cornerstone Program began in 2008, the per cent of RCAs completed in a time-critical manner (≤45 days) has increased from an average of 52% pre-Cornerstone to an average of 94% post-Cornerstone. The per cent of action plans with stronger deterministic actions and outcomes has increased from an average of 34% pre-Cornerstone to an average of 70% post-Cornerstone. DISCUSSION: Implementing a non-monetary recognition award that was tied to specific improvement goals greatly improved the timeliness and quality of the RCA reports in the Veterans Health Administration System.


Subject(s)
Awards and Prizes , Root Cause Analysis/standards , Medical Errors/prevention & control , Safety Management , United States , United States Department of Veterans Affairs
5.
Radiol Case Rep ; 6(4): 557, 2011.
Article in English | MEDLINE | ID: mdl-27307934

ABSTRACT

A patient presented with a large bowel obstruction after laparoscopic hernia repair converted to open inguinal hernia repair. A contrast enema examination revealed an area of narrowing in the midtransverse colon, consistent with Cannon's point. This represents a physiologic sphincter with focal narrowing of the colon lumen.

6.
Traffic Inj Prev ; 10(4): 354-60, 2009 Aug.
Article in English | MEDLINE | ID: mdl-19593713

ABSTRACT

OBJECTIVE: This research was conducted to examine the consequences of forewarning drivers about impending congestion on aggressive driving behavior. Some have argued that aggressive driving stems from frustration experienced on the roadway (often due to congestion), and that by warning drivers about congestion, frustration, and consequently aggressive driving, can be reduced. METHODS: The study employed an experimental design, where participants (whose dispositional driver anger was measured using the Driver Anger Scale) were instructed to operate an instrumented vehicle along a prescribed route containing construction. Participants were randomly assigned either to receive a warning about the construction or to receive no warning about the congestion. Measures of aggressive driving behavior were extracted from video (shot from a camera hidden behind the vehicle's license plate) and from an ongoing accelerometer. RESULTS: A total of 49 participants completed the study. Analyses of combined measure of aggressive driving behavior data revealed a statistically significant main effect for dispositional driver anger (with participants scoring higher on the scale actually driving more aggressively), as well as interactions between driver anger and forewarning. Accordingly, forewarning about potential congestion reduced aggressive driving behavior for participants high in dispositional anger but increased aggressive behavior for participants who were low on dispositional anger. CONCLUSION: Some of the results-particularly the increase in aggressive driving among participants low in dispositional driver anger who were warning about congestion-were unexpected. The interaction effect suggests that the strategy providing warnings about upcoming congestion will not necessarily reduce frustration among all drivers.


Subject(s)
Aggression/psychology , Automobile Driving/psychology , Frustration , Acceleration , Adolescent , Adult , Analysis of Variance , Anger , Automobile Driving/statistics & numerical data , Female , Hostility , Humans , Linear Models , Male , Psychometrics , Surveys and Questionnaires , Video Recording , Young Adult
8.
Jt Comm J Qual Saf ; 30(9): 488-96, 2004 Sep.
Article in English | MEDLINE | ID: mdl-15469126

ABSTRACT

BACKGROUND: A cognitive aid developed by the Department of Veterans Affairs (VA) and distributed to all VA facilities provides caregivers with information to minimize omission of critical steps when diagnosing and treating cardiac arrest. In 2002, caregivers were surveyed about the usefulness of the cognitive aid and the success of its dissemination throughout the VA. METHODS: Fifty randomly selected VA hospitals were sent a letter to alert them of the upcoming survey. Twenty surveys were sent to each of the selected hospitals with instructions to distribute the survey to specific caregiver types. RESULTS: Nine (18%) of the VA hospitals had not used the cognitive aid tool because of dissemination problems. Of the 565 caregivers responding to the survey, 59% (332) were aware of the cognitive aid. Of these 332, 96% agreed that putting the cognitive aid on code carts is a good idea. There were 234 respondents who were both aware of the cognitive aid and had been involved in at least one code within the past 30 days. Of these 234, some 29 (12%) used the aid during a code, 28 of whom agreed that the cognitive aid was helpful during the code. DISCUSSION: Both new and experienced caregivers find the cognitive aid helpful when responding to "code" situations. However, cognitive aids cannot be helpful if theintended users are unaware of their availability. Dissemination and awareness of the aids can be problematic in large health care systems.


Subject(s)
Audiovisual Aids , Cardiopulmonary Resuscitation/methods , Decision Trees , Heart Arrest/prevention & control , Hospitals, Veterans , Humans , Information Dissemination , Surveys and Questionnaires , United States , United States Department of Veterans Affairs
9.
Jt Comm J Qual Improv ; 28(10): 531-45, 2002 Oct.
Article in English | MEDLINE | ID: mdl-12369156

ABSTRACT

BACKGROUND: The patient safety program in the Department of Veterans Affairs (VA) began in 1998, when the National Center for Patient Safety (NCPS) was established to lead the effort on a day-to-day basis. NCPS provides the structure, training, and tools, and VA facilities provide front-line expertise, feedback about the process, and root cause analysis (RCA) of adverse events and close calls. MONITORING THE PROCESS: Facility patient safety managers determine the disposition of adverse events and close calls occurring at their facilities. They use a safety assessment code (SAC) to prioritize the actual and potential severity and frequency of an event. BEFORE-AND-AFTER STUDY: Before the new RCA system was implemented in 2000, the VA used another adverse event reporting system, focused review (FR). A comparison of the two processes indicates that the RCA process has shifted analyses of adverse events toward a human factors engineering approach-entailing a search for system vulnerabilities rather than human errors and other less actionable root causes. CASE EXAMPLES: Two case examples--on hazards in the magnetic resonance imaging (MRI) room and on a cardiac pacemaker malfunction--illustrate how the RCA system works in actual operation. The cases illustrate that broadly applicable, high-impact actions can result from a thorough RCA process. DISCUSSION: NCPS monitors the quality and completeness of RCAs through the immediate review and feedback process. Still to be investigated is the effectiveness of RCA actions addressing the hypothesized root causes and contributing factors of the close calls and adverse events.


Subject(s)
Database Management Systems , Hospitals, Veterans/standards , Outcome and Process Assessment, Health Care , Patient Care/standards , Safety Management/methods , Sentinel Surveillance , Systems Analysis , Accidental Falls/prevention & control , Causality , Equipment Failure , Hospital Mortality , Humans , Learning , Medical Errors/prevention & control , Risk Management , Software Design , United States , United States Department of Veterans Affairs , Suicide Prevention
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