scholarly journals Utility and Acceptability of Influenza Surveillance amongst Emergency Providers

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Andrea F. Dugas ◽  
Howard Burkom ◽  
Anna L. DuVal ◽  
Richard Rothman
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Real Time ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Surveillance Data ◽  
Influenza Surveillance ◽  
Additional Information ◽  
Provider Surveys

We provided emergency department providers with a real-time laboratory-based influenza surveillance tool, and evaluated the utility and acceptability of the surveillance information using provider surveys. The majority of emergency department providers found the surveillance data useful and indicated the additional information impacted their clinical decision making regarding influenza testing and treatment.

scholarly journals Front-Line Emergency Department Clinician Acceptability and Use of a Prototype Real-Time Cloud-Based Influenza Surveillance System

2021 ◽  
Vol 9 ◽  
Author(s):  
Richard E. Rothman ◽  
Yu-Hsiang Hsieh ◽  
Anna DuVal ◽  
David A. Talan ◽  
Gregory J. Moran ◽  
...  
Keyword(s):  
Emergency Department ◽  
Real Time ◽  
Surveillance System ◽  
Influenza Season ◽  
Respiratory Illness ◽  
Surveillance Data ◽  
Influenza Surveillance ◽  
Additional Information ◽  
Related Information ◽  
System Data

Objectives: To assess emergency department (ED) clinicians' perceptions of a novel real-time influenza surveillance system using a pre- and post-implementation structured survey.Methods: We created and implemented a laboratory-based real-time influenza surveillance system at two EDs at the beginning of the 2013-2014 influenza season. Patients with acute respiratory illness were tested for influenza using rapid PCR-based Cepheid Xpert Flu assay. Results were instantaneously uploaded to a cloud-based data aggregation system made available to clinicians via a web-based dashboard. Clinicians received bimonthly email updates summating year-to-date results. Clinicians were surveyed prior to, and after the influenza season, to assess their views regarding acceptability and utility of the surveillance system data which were shared via dashboard and email updates.Results: The pre-implementation survey revealed that the majority (82%) of the 151 ED clinicians responded that they “sporadically” or “don't,” actively seek influenza-related information during the season. However, most (75%) reported that they would find additional information regarding influenza prevalence useful. Following implementation, there was an overall increase in the frequency of clinician self-reporting increased access to surveillance information from 50 to 63%, with the majority (75%) indicating that the surveillance emails impacted their general awareness of influenza. Clinicians reported that the additional real-time surveillance data impacted their testing (65%) and treatment (51%) practices.Conclusions: The majority of ED clinicians found surveillance data useful and indicated the additional information impacted their clinical practice. Accurate and timely surveillance information, distributed in a provider-friendly format could impact ED clinician management of patients with suspected influenza.

scholarly journals Accounting for healthcare-seeking behaviours and testing practices in real-time influenza forecasts

2018 ◽  
Author(s):  
Robert Moss ◽  
Alexander E Zarebski ◽  
Sandra J Carlson ◽  
James M McCaw
Keyword(s):  
Real Time ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Surveillance Data ◽  
Surveillance Systems ◽  
Healthcare Seeking ◽  
Public Health Decision ◽  
Predictive Skill ◽  
Health Decision ◽  
Substantial Change

AbstractFor diseases such as influenza, where the majority of infected persons experience mild (if any) symptoms, surveillance systems are sensitive to changes in healthcare-seeking and clinical decision-making behaviours. This presents a challenge when trying to interpret surveillance data in near-real-time (e.g., in order to provide public health decision-support). Australia experienced a particularly large and severe influenza season in 2017, perhaps in part due to (a) mild cases being more likely to seek healthcare; and (b) clinicians being more likely to collect specimens for RT-PCR influenza tests. In this study we used weekly Flutracking surveillance data to estimate the probability that a person with influenza-like illness (ILI) would seek healthcare and have a specimen collected. We then used this estimated probability to calibrate near-real-time seasonal influenza forecasts at each week of the 2017 season, to see whether predictive skill could be improved. While the number of self-reported influenza tests in the weekly surveys are typically very low, we were able to detect a substantial change in healthcare seeking behaviour and clinician testing behaviour prior to the high epidemic peak. Adjusting for these changes in behaviour in the forecasting framework improved predictive skill. Our analysis demonstrates a unique value of community-level surveillance systems, such as Flutracking, when interpreting traditional surveillance data.

scholarly journals Clinical decision making in the emergency department setting using rapid PCR: Results of the CLADE study group

2018 ◽  
Vol 102 ◽  
pp. 42-49 ◽  
Author(s):  
Glen T. Hansen ◽  
Johanna Moore ◽  
Emily Herding ◽  
Tami Gooch ◽  
Diane Hirigoyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Study Group ◽  
Rapid Pcr ◽  
Emergency Department Setting

scholarly journals Influence of psychiatric or social backgrounds on clinical decision making: a randomized, controlled multi-centre study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yosuke Yamauchi ◽  
Takashi Shiga ◽  
Kiyoshi Shikino ◽  
Takahiro Uechi ◽  
Yasuaki Koyama ◽  
...  
Keyword(s):  
Decision Making ◽  
Repeated Measures ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Background Information ◽  
Accuracy Score ◽  
Multi Centre Study ◽  
Additional Information ◽  
Free Care ◽  
History Of

Abstract Background Frequent and repeated visits from patients with mental illness or free medical care recipients may elicit physicians’ negative emotions and influence their clinical decision making. This study investigated the impact of the psychiatric or social background of such patients on physicians’ decision making about whether to offer recommendations for further examinations and whether they expressed an appropriate disposition toward the patient. Methods A randomized, controlled multi-centre study of residents in transitional, internal medicine, or emergency medicine was conducted in five hospitals. Upon randomization, participants were stratified by gender and postgraduate year, and they were allocated to scenario set 1 or 2. They answered questions pertaining to decision-making based on eight clinical vignettes. Half of the eight vignettes presented to scenario set 1 included additional patient information, such as that the patient had a past medical history of schizophrenia or that the patient was a recipient of free care who made frequent visits to the doctor (biased vignettes). The other half included no additional information (neutral vignettes). For scenario set 2, the four biased vignettes presented to scenario set 1 were neutralized, and the four neutral vignettes were rendered biased by providing additional information. After reading, participants answered decision-making questions regarding diagnostic examination, interventions, or patient disposition. The primary analysis was a repeated-measures ANOVA on the mean management accuracy score, with patient background information as a within-subject factor (no bias, free care recipients, or history of schizophrenia). Results A total of 207 questionnaires were collected. Repeated-measures ANOVA showed that additional background information had influence on mean accuracy score (F(7, 206) = 13.84, p <  0.001 partial η2 = 0.063). Post hoc pairwise multiple comparison test, Sidak test, showed a significant difference between schizophrenia and no bias condition (p <  0.05). The ratings for patient likability were lower in the biased vignettes compared to the neutral vignettes, which was associated with the lower utilization of medical resources by the physicians. Conclusions Additional background information on past medical history of schizophrenia increased physicians’ mistakes in decision making. Patients’ psychiatric backgrounds should not bias physicians’ decision-making. Based on these findings, physicians are recommended to avoid being influenced by medically unrelated information.

scholarly journals Accounting for Healthcare-Seeking Behaviours and Testing Practices in Real-Time Influenza Forecasts

2019 ◽  
Vol 4 (1) ◽  
pp. 12 ◽  
Author(s):  
Robert Moss ◽  
Alexander Zarebski ◽  
Sandra Carlson ◽  
James McCaw
Keyword(s):  
Real Time ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Surveillance Data ◽  
Community Level ◽  
Surveillance Systems ◽  
Healthcare Seeking ◽  
Public Health Decision ◽  
Predictive Skill ◽  
Health Decision

For diseases such as influenza, where the majority of infected persons experience mild (if any) symptoms, surveillance systems are sensitive to changes in healthcare-seeking and clinical decision-making behaviours. This presents a challenge when trying to interpret surveillance data in near-real-time (e.g., to provide public health decision-support). Australia experienced a particularly large and severe influenza season in 2017, perhaps in part due to: (a) mild cases being more likely to seek healthcare; and (b) clinicians being more likely to collect specimens for reverse transcription polymerase chain reaction (RT-PCR) influenza tests. In this study, we used weekly Flutracking surveillance data to estimate the probability that a person with influenza-like illness (ILI) would seek healthcare and have a specimen collected. We then used this estimated probability to calibrate near-real-time seasonal influenza forecasts at each week of the 2017 season, to see whether predictive skill could be improved. While the number of self-reported influenza tests in the weekly surveys are typically very low, we were able to detect a substantial change in healthcare seeking behaviour and clinician testing behaviour prior to the high epidemic peak. Adjusting for these changes in behaviour in the forecasting framework improved predictive skill. Our analysis demonstrates a unique value of community-level surveillance systems, such as Flutracking, when interpreting traditional surveillance data. These methods are also applicable beyond the Australian context, as similar community-level surveillance systems operate in other countries.

scholarly journals Recovery from profound acidosis (pH 6.685) in multi-organ dysfunction syndrome

2019 ◽  
pp. 175114371987010
Author(s):  
Eryl A Davies ◽  
Christopher Saleh ◽  
Jonathan Bannard-Smith
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Cardiac Arrest ◽  
Critical Care ◽  
Organ Dysfunction ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Circulatory Shock ◽  
Arterial Ph ◽  
Multi Organ Dysfunction Syndrome

Acidosis is a common feature of patients referred to critical care from the emergency department. We present the case of a 49-year-old female with multi-organ dysfunction syndrome (MODS) and an arterial pH of 6.685 on arrival to the emergency department. This case is unique as the patient was in circulatory shock with MODS from rhabdomyolysis on arrival and had not suffered a cardiac arrest. We believe this to be the first reported case of full recovery from such an extreme metabolic disturbance in this context, and discuss the relevance of profound acidosis to early clinical decision-making.

scholarly journals Emotionally evocative patients in the emergency department: a mixed methods investigation of providers’ reported emotions and implications for patient safety

2020 ◽  
Vol 29 (10) ◽  
pp. 1.3-2 ◽  
Author(s):  
Linda M Isbell ◽  
Julia Tager ◽  
Kendall Beals ◽  
Guanyu Liu
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Emergency Department ◽  
Patient Safety ◽  
Qualitative Data ◽  
Clinical Decision Making ◽  
Quality Care ◽  
Clinical Decision ◽  
Safety Risks ◽  
Recent Patient

BackgroundEmergency department (ED) physicians and nurses frequently interact with emotionally evocative patients, which can impact clinical decision-making and behaviour. This study introduces well-established methods from social psychology to investigate ED providers’ reported emotional experiences and engagement in their own recent patient encounters, as well as perceived effects of emotion on patient care.MethodsNinety-four experienced ED providers (50 physicians and 44 nurses) vividly recalled and wrote about three recent patient encounters (qualitative data): one that elicited anger/frustration/irritation (angry encounter), one that elicited happiness/satisfaction/appreciation (positive encounter), and one with a patient with a mental health condition (mental health encounter). Providers rated their emotions and engagement in each encounter (quantitative data), and reported their perception of whether and how their emotions impacted their clinical decision-making and behaviour (qualitative data).ResultsProviders generated 282 encounter descriptions. Emotions reported in angry and mental health encounters were remarkably similar, highly negative, and associated with reports of low provider engagement compared with positive encounters. Providers reported their emotions influenced their clinical decision-making and behaviour most frequently in angry encounters, followed by mental health and then positive encounters. Emotions in angry and mental health encounters were associated with increased perceptions of patient safety risks; emotions in positive encounters were associated with perceptions of higher quality care.ConclusionsPositive and negative emotions can influence clinical decision-making and impact patient safety. Findings underscore the need for (1) education and training initiatives to promote awareness of emotional influences and to consider strategies for managing these influences, and (2) a comprehensive research agenda to facilitate discovery of evidence-based interventions to mitigate emotion-induced patient safety risks. The current work lays the foundation for testing novel interventions.

scholarly journals FUTURES: Forecasting the Unexpected Transfer to Upgraded Resources in Sepsis

2019 ◽  
Vol 8 (1) ◽  
pp. 187-191
Author(s):  
Alexa Profozich ◽  
Trevor Sytsma ◽  
Ryan Arnold ◽  
Kristen Miller ◽  
Muge Capan
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Initial Point ◽  
Clinical Decision ◽  
Sepsis Management ◽  
Insight Into

Sepsis is one of the most deadly and costly diseases. The Emergency Department (ED) is the initial point of care for most patients who become hospitalized due to sepsis. Quantifying the accuracy of ED clinician forecasting regarding patients’ clinical trajectories and outcomes can provide insight into clinical decision making and inform sepsis management.

scholarly journals Perceptions of critical and emergency department nurses regarding changes in their professional role

2018 ◽  
Vol 51 (0) ◽  
Author(s):  
Maria NK Karanikola ◽  
Margarita Giannakopoulou ◽  
Meropi Mpouzika ◽  
Christiana Nicolaou ◽  
George Tsiaousis ◽  
...  
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Clinical Decision Making ◽  
Clinical Skills ◽  
Preliminary Investigation ◽  
Clinical Decision ◽  
Professional Role ◽  
Professional Autonomy ◽  
Emergency Department Nurses ◽  
Participation In Decision Making

ABSTRACT Objective Preliminary investigation of the way Greek critical and emergency department nurses conceptualize changes in their professional role. Method A qualitative focus-group methodology was applied. Following purposeful sampling and informed consent of participants. Results Participated eight individuals. The need for enhancement of nurses’ participation in decision-making in order for an actual change in their professional role to be achieved was the central theme of participants’ narratives. Perceived advancements in professional role performance regarded: evidence-based practice; technology; education, knowledge; clinical skills; research; heightened nurse-physician collaboration. Perceived reasons why these advancements failed to enhance nurses’ professional role were lack of meritocracy; competitive relationships; lack of support among nurses; insufficient managerial support; budget limitations. Conclusion Despite advancements in clinical practice, participants did not deem that their professional role was enhanced significantly, as participation in decision-making and control over practice remain limited. Interventions targeted to enhance nurses’ participation in clinical decision-making, and overall professional autonomy are recommended.

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