scholarly journals Harnessing Clinical Psychiatric Data with an Electronic Assessment Tool (OPCRIT+): The Utility of Symptom Dimensions

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e58790 ◽  
Author(s):  
Philip James Brittain ◽  
Sarah Elizabeth Margaret Lobo ◽  
James Rucker ◽  
Myanthi Amarasinghe ◽  
Anantha Padmanabha Pillai Anilkumar ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Symptom Dimensions ◽  
Electronic Assessment

scholarly journals Correction: Harnessing Clinical Psychiatric Data with an Electronic Assessment Tool (OPCRIT+): The Utility of Symptom Dimensions

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
Author(s):  
Philip James Brittain ◽  
Sarah Elizabeth Margaret Lobo ◽  
James Rucker ◽  
Myanthi Amarasinghe ◽  
Anantha Padmanabha Pillai Anilkumar ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Symptom Dimensions ◽  
Electronic Assessment

Identifying children at high risk for infection-related decompensation using a predictive emergency department-based electronic assessment tool

Diagnosis ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Robert J. Sepanski ◽  
Arno L. Zaritsky ◽  
Sandip A. Godambe
Keyword(s):  
Emergency Department ◽  
High Risk ◽  
Positive Predictive Value ◽  
Firing Rate ◽  
Predictive Value ◽  
Assessment Tool ◽  
Predictive Tool ◽  
High Severity ◽  
Electronic Assessment ◽  
Ed Visits

AbstractObjectivesElectronic alert systems to identify potential sepsis in children presenting to the emergency department (ED) often either alert too frequently or fail to detect earlier stages of decompensation where timely treatment might prevent serious outcomes.MethodsWe created a predictive tool that continuously monitors our hospital’s electronic health record during ED visits. The tool incorporates new standards for normal/abnormal vital signs based on data from ∼1.2 million children at 169 hospitals. Eighty-two gold standard (GS) sepsis cases arising within 48 h were identified through retrospective chart review of cases sampled from 35,586 ED visits during 2012 and 2014–2015. An additional 1,027 cases with high severity of illness (SOI) based on 3 M’s All Patient Refined – Diagnosis-Related Groups (APR-DRG) were identified from these and 26,026 additional visits during 2017. An iterative process assigned weights to main factors and interactions significantly associated with GS cases, creating an overall “score” that maximized the sensitivity for GS cases and positive predictive value for high SOI outcomes.ResultsTool implementation began August 2017; subsequent improvements resulted in 77% sensitivity for identifying GS sepsis within 48 h, 22.5% positive predictive value for major/extreme SOI outcomes, and 2% overall firing rate of ED patients. The incidence of high-severity outcomes increased rapidly with tool score. Admitted alert positive patients were hospitalized nearly twice as long as alert negative patients.ConclusionsOur ED-based electronic tool combines high sensitivity in predicting GS sepsis, high predictive value for physiologic decompensation, and a low firing rate. The tool can help optimize critical treatments for these high-risk children.

scholarly journals Psychometric Properties of the Italian Version of the Burnout Assessment Tool (BAT)

2021 ◽  
Vol 18 (18) ◽  
pp. 9469 ◽  
Author(s):  
Chiara Consiglio ◽  
Greta Mazzetti ◽  
Wilmar B. Schaufeli
Keyword(s):  
Psychometric Properties ◽  
Discriminant Validity ◽  
Assessment Tool ◽  
Factor Model ◽  
Maslach Burnout Inventory ◽  
Italian Version ◽  
Secondary Symptom ◽  
Symptom Dimensions ◽  
First Order ◽  
New Instrument

The most popular instrument to measure burnout is the Maslach Burnout Inventory (MBI). Recently, to overcome some of the limitations of the MBI, a new instrument has been proposed, namely the Burnout Assessment Tool. The purpose of this study is to examine the psychometric properties of the Italian version of the BAT. This tool is comprised of a set of four core dimensions (BAT-C; i.e., exhaustion, mental distance, cognitive and emotional impairment) and two secondary symptom dimensions (BAT-S; i.e., psychological and psychosomatic complaints). Data were collected on a sample of 738 participants from heterogeneous sectors and professional roles. In the sample women were slightly overrepresented (52.9%), the participants had a mean age of 41.57 years (SD = 10.51) and a mean organizational tenure of 9.65 years (SD = 8.50). The reliability and factorial structure of the BAT-C and BAT-S, together with the convergent and discriminant validity of BAT-C and MBI were explored, as well as the incremental validity to the BAT-C, over and beyond the MBI. Our results confirmed the factorial validity of a two-factor second-order factor model (BAT-C and BAT-S) represented by 4 first-order factors in the case of BAT-C and 2 first-order factors for BAT-S. Results also attested that BAT-C explains additional variance of the BAT-S, above and beyond what is explained by the MBI-GS. All in all, this study provided evidence that the Italian version of BAT represents a reliable and valid tool for measuring burnout in the work context.

scholarly journals Thromboprophylaxis use in medical inpatients and the impact of electronic risk assessment tool

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3511-3511 ◽  
Author(s):  
Nikhil Mukhi ◽  
Gurinder Sidhu ◽  
Christopher Nabors ◽  
Chaitanya Iragavarapu
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Decision Support ◽  
Assessment Tool ◽  
Risk Assessment Tool ◽  
Hospital Death ◽  
Vte Prophylaxis ◽  
Electronic Assessment ◽  
The Impact

Abstract Introduction: VTE is the third most common cause of hospital related deaths and the most common preventable cause of hospital death. Population based studies have continually emphasized the rising prevalence of VTE. As per data from CDC, VTE complicated about 550,000 hospitalizations each year in adults >18yrs. The prevalence was much higher in adults >60yrs and female sex. Pulmonary embolism accounts for about 5-10% of hospital deaths and the case fatality rates of DVT ranges between 1-10% mainly due to fatal PE and is highest in those with malignancies. VTE is associated with long term risks of post thrombotic syndrome and chronic thromboembolic pulmonary hypertension which contributes significantly to patient morbidity and cost of management. The ENDORSE trial assessed the proportion of at-risk medical patients who received thromboprophylaxis and determined that 39.5% (6119 out of 15487 patients) received ACCP-recommended VTE prophylaxis. The most effective strategies to improve prophylaxis consist of a system for reminding clinicians to assess patients for VTE risk, either electronic decision-support systems or paper-based reminders. In a recent study electronic VTE risk assessment tool (elVis) on VTE prophylaxis in hospitalised patients improved the prophylaxis rates by 5.0% amongst all patients and by 10.7% amongst high risk patients. Materials and Methods: This was a retrospective study to assess the effectiveness of a VTE (Venous Thrombo Embolism) risk assessment tool as part of the in hospital quality control initiative. A total of 400 charts were reviewed; 200 prior to implementation of the risk assessment tool, and 200 after. Patients with incomplete or missing data were excluded. A total of 388 patients were included in the study (Fig 1). These patients were randomly picked in the pre and post implementation phases of the study (April 2011 and October 2011 respectively). The hospital committee designed the risk assessment tool based on the ACCP guidelines with few modifications individualized to our patient population. The tool was an automatic and mandatory pop op that would guide the admitting resident in making a decision about VTE prophylaxis. After the tool was implemented (July 2011), all house staff were educated on its use by a dedicated lecture during a noon conference session. Results: Demographics and results of the study are shown via the following table: Table 1.Pre-VTE toolPost-VTE toolNumber of patients189199Male47.9%49.7%Moderate –High Risk57.1%61.3%Individual Risk FactorsPrior VTE13.7%15.7%Chronic Pulm Disease17.9%19.1%Chronic Heart Failure14.4%16.9%Long term immobility11.7%17.4%Obesity37.2%34.3%Thrombophilia1.2%1.1%Malignancy4.6%4.7%Contraindications to anticoagulation19.04%19.06%Treatment Correctness56.3%80.3% Conclusions: This study gives us insight that VTE risk assessment tool accompanied with staff education improves VTE prophylaxis in at risk medicine inpatients. Study also confirms that incorporation of VTE prophylaxis guidelines in routine clinical practice can be assisted by electronic assessment and decision support tools. Disclosures No relevant conflicts of interest to declare.

An automated, electronic assessment tool can accurately classify older adult postural stability

2019 ◽  
Vol 93 ◽  
pp. 6-10
Author(s):  
Liam Johnson ◽  
Adam Fry ◽  
Behdad Dehbandi ◽  
Lawrence Rubin ◽  
Michael Halem ◽  
...  
Keyword(s):  
Older Adult ◽  
Postural Stability ◽  
Assessment Tool ◽  
Electronic Assessment

Symptom Assessment in Palliative Care: A Need for International Collaboration

2008 ◽  
Vol 26 (23) ◽  
pp. 3867-3873 ◽  
Author(s):  
Stein Kaasa ◽  
Jon Håvard Loge ◽  
Peter Fayers ◽  
Augusto Caraceni ◽  
Florian Strasser ◽  
...  
Keyword(s):  
Palliative Care ◽  
Digital Media ◽  
Information Transfer ◽  
Assessment Tool ◽  
Research Strategy ◽  
Assessment Tools ◽  
Research Network ◽  
Face To Face ◽  
Care Research ◽  
Electronic Assessment

This article describes the research strategy for the development of a computerized assessment tool as part of a European Union (EU)–funded project, the European Palliative Care Research Collaborative (EPCRC). The EPCRC is funded through the Sixth Framework Program of the EU with major objectives to develop a computer-based assessment and classification tool for pain, depression, and cachexia. A systematic approach will be applied for the tool development with emphasis on multicultural and multilanguage challenges across Europe. The EPCRC is based on a long lasting collaboration within the European Association for Palliative Care Research Network. The ongoing change in society towards greatly increased use of communication as well as information transfer via digital systems will rapidly change the health care system. Therefore, patient-centered outcome assessment tools applicable for both clinic and research should be developed. Report of symptoms via digital media provides a start for face-to-face communication, treatment decisions, and assessment of treatment effects. The increased use of electronic media for exchange of information may facilitate the development and use of electronic assessment tools and decision-making systems in oncology. In the future, patients may find that a combination of a face-to-face interview plus a transfer of information of subjective symptoms by electronic means will optimize treatment.

Personality Characteristics and Acute Symptom Response Predict Chronic Symptoms After Mild Traumatic Brain Injury

2021 ◽  
pp. 1-12
Author(s):  
Hillary A. Parker ◽  
Jana Ranson ◽  
Michael A. McCrea ◽  
James Hoelzle ◽  
Terri deRoon-Cassini ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Personality Traits ◽  
Mild Traumatic Brain Injury ◽  
Assessment Tool ◽  
Somatic Complaints ◽  
Post Injury ◽  
Personality Dimension ◽  
Symptom Dimensions ◽  
Mediation Analyses

Abstract Objective: Despite consensus that personality influences mild traumatic brain injury (mTBI) recovery, it has been underexamined. We evaluated the extent to which diverse personality and psychiatric symptom dimensions predict mTBI recovery. Methods: This prospective cohort study involved psychological assessments of hospital patients with mTBI (n = 75; median = 2 days post-injury, range = 0–12 days) and orthopedic trauma controls (OTC; n = 79) who were used for comparison in mediation modeling. Chronic symptoms were evaluated at 3 months after mTBI (n = 50) using the Sport Concussion Assessment Tool (SCAT) symptom checklist. Linear regression analyses were used to identify the predominant predictors of chronic symptoms in mTBI. Modern mediation analyses tested the hypothesis that personality traits predict chronic symptoms through acute psychological response to injury. Results: In mTBI, trait psychoticism directly predicted chronic mTBI symptoms and was the strongest personality predictor overall. Furthermore, an internalizing personality dimension emphasizing negative affect/emotionality and detachment predicted chronic mTBI symptoms indirectly through enhancement of acute somatic complaints. In OTC, internalizing personality acted through the same mediator as in mTBI, whereas the effect of psychoticism was also mediated through acute somatic complaints. There was varying support for a moderated direct effect of personality traits at low levels of positive emotionality across models. Conclusion: These causal models provide novel insights about the role of personality in mTBI symptom recovery, highlighting the complexity of how psychological processes may interact to affect recovery and revealing that some of these processes may be non-specific to brain injury.

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