Addiction Severity Assessment Tool

2005 ◽  
Author(s):  
Stephen F. Butler ◽  
Simon H. Budman ◽  
Michael D. McGee ◽  
Michael Sean Davis ◽  
Rebecca Cornelli ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Severity Assessment ◽  
Addiction Severity

Addiction severity assessment tool: Development of a self-report measure for clients in substance abuse treatment

2005 ◽  
Vol 80 (3) ◽  
pp. 349-360 ◽  
Author(s):  
Stephen F. Butler ◽  
Simon H. Budman ◽  
Michael D. McGee ◽  
Michael Sean Davis ◽  
Rebecca Cornelli ◽  
...  
Keyword(s):  
Substance Abuse ◽  
Substance Abuse Treatment ◽  
Assessment Tool ◽  
Self Report ◽  
Severity Assessment ◽  
Tool Development ◽  
Addiction Severity ◽  
Abuse Treatment ◽  
Report Measure

scholarly journals Severity assessment in maximally treated ICH patients

Neurology ◽  
2017 ◽  
Vol 89 (5) ◽  
pp. 423-431 ◽  
Author(s):  
Jochen A. Sembill ◽  
Stefan T. Gerner ◽  
Bastian Volbers ◽  
Tobias Bobinger ◽  
Hannes Lücking ◽  
...  
Keyword(s):  
Propensity Score ◽  
Functional Outcome ◽  
Propensity Score Matching ◽  
Scale Score ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Favorable Outcome ◽  
Severity Assessment ◽  
Poor Outcome ◽  
Ich Score

Objective:As common prognostication models in intracerebral hemorrhage (ICH) are developed variably including patients with early (<24 hours) care limitations (ECL), we investigated its interaction with prognostication in maximally treated patients and sought to provide a new unbiased severity assessment tool.Methods:This observational cohort study analyzed consecutive ICH patients (n = 583) from a prospective registry over 5 years. We characterized the influence of ECL on overall outcome by propensity score matching and on conventional prognostication using receiver operating characteristic analyses. We established the max-ICH score based on independent predictors of 12-month functional outcome in maximally treated patients and compared it to existing models.Results:Prevalence of ECL was 19.2% (n = 112/583) and all of these patients died. Yet propensity score matching displayed that 50.7% (n = 35/69) theoretically could have survived, with 18.8% (n = 13/69) possibly reaching favorable outcome (modified Rankin Scale score 0–3). Conventional prognostication seemed to be confounded by ECL, documented by a decreased predictive validity (area under the curve [AUC] 0.67, confidence interval [CI] 0.61–0.73 vs AUC 0.80, CI 0.76–0.83; p < 0.01), overestimating poor outcome (mortality by 44.8%, unfavorable outcome by 10.1%) in maximally treated patients. In these patients, the novel max-ICH score (0–10) integrates strength-adjusted predictors, i.e., NIH Stroke Scale score, age, intraventricular hemorrhage, anticoagulation, and ICH volume (lobar and nonlobar), demonstrating improved predictive accuracy for functional outcome (12 months: AUC 0.81, CI 0.77–0.85; p < 0.01). The max-ICH score may more accurately delineate potentials of aggressive care, showing favorable outcome in 45.4% (n = 214/471) and a long-term mortality rate of only 30.1% (n = 142/471).Conclusions:Care limitations significantly influenced the validity of common prognostication models resulting in overestimation of poor outcome. The max-ICH score demonstrated increased predictive validity with minimized confounding by care limitations, making it a useful tool for severity assessment in ICH patients.

scholarly journals One score to rule them all: severity assessment in laboratory mice

2020 ◽  
Author(s):  
Steven R. Talbot ◽  
Birgitta Struve ◽  
Laura Wassermann ◽  
Miriam Heider ◽  
Nora Weegh ◽  
...  
Keyword(s):  
Heart Rate ◽  
Animal Welfare ◽  
Biomedical Research ◽  
Restraint Stress ◽  
Assessment Tool ◽  
Postoperative Recovery ◽  
Assessment System ◽  
Severity Assessment ◽  
Severity Levels ◽  
Individual Variables

AbstractAnimal welfare and the refinement of experimental procedures are fundamental aspects of biomedical research. They provide the basis for robust experimental designs and reproducibility of results. In many countries, the determination of welfare is a mandatory legal requirement and implies the assessment of the degree of the severity that an animal experiences during an experiment. However, for an effective severity assessment, an objective and exact approach/system/strategy is needed. In light of these demands, we have developed the Relative Severity Assessment (RELSA) score.This comprehensive composite score was established on the basis of physiological and behavioral data from a surgical mouse study. Body weight, the Mouse Grimace Scale score, burrowing behavior, and the telemetry-derived parameters heart rate, heart rate variability, temperature, and general activity were used to investigate the quality of indicating severity during postoperative recovery. The RELSA scores not only revealed individual severity levels but also allowed a comparison of severity in distinct mouse models addressing colitis, sepsis, and restraint stress using a k-means clustering approach with the maximum achieved RELSA scores.We discriminated and classified data from sepsis nonsurvivors into the highest relative severity level. Data from mice after intraperitoneal transmitter implantation and sepsis survivor al were located in the next lower cluster, while data from mice subjected to colitis and restraint stress were placed in the lowest severity cluster. Analysis of individual variables and their combinations revealed model- and time-dependent contributions to severity levels.In conclusion, we propose the RELSA score as a validated tool for objective real-time applicability in severity assessment and as a first step towards a unified and accessible risk assessment tool in biomedical research. As an effective severity assessment system, it will fundamentally improve animal welfare, as well as data quality and reproducibility.

Development of a Digitalized Bangla Autism Assessment System in Bangladesh (Preprint)

2021 ◽  
Author(s):  
Tanjir Rashid Soron ◽  
Helal Uddin Ahmed ◽  
Golam Robbani ◽  
Smita Neelkanth Deshpande ◽  
Satabdi Chakraborty
Keyword(s):  
Mobile Application ◽  
Assessment Tool ◽  
Autism Spectrum ◽  
Assessment System ◽  
Assessment Scale ◽  
Expert Committee ◽  
Severity Assessment ◽  
Dsm 5 ◽  
Forward Translation ◽  
Autism Assessment

BACKGROUND The prevalence of Autism Spectrum Disorder is increasing due to various biopsychosocial and environmental factors that demands prompt and holistic initiatives for early diagnosis and appropriate interventions. However, most of the developing countries are in severe scarcity of culturally adapted and validated cost-effective tools and trained professionals. Bangladesh has established as one of the leading countries in autism care and awareness. However, the country also lacks valid, easily available and low-cost assessment tool that can be used from different part of the country OBJECTIVE This study aimed to develop a digitalized autism assessment system based on Bangla Autism Assessment Scale by translating, adapting and validating Indian Scale for Assessment of Autism in Bangladesh METHODS This multi staged mixed method study was conducted from 2018 to 2019. At first Bangla Autism Assessment Scale was developed from Indian Scale for Autism Assessment stepwise: forward translation, backward translation, expert committee review, pretesting. In the second stage a mobile application and website was developed following the user centered designing principles. In the third stage the usefulness of the mobile application and psychometric properties of the scale were assessed with 100 children from two special education schools in the Dhaka: Proyash Special School and Autism Welfare Foundation School. The diagnostic accuracy was measured against the diagnosis and severity assessment of a multi-disciplinary team using Diagnostic and Statistical Manual of Mental Disorder (DSM-5). Data was analyzed using SPSS-24. RESULTS More than 90% professionals considered the mobile application was helpful for them by reducing the total time for completing the assessment about 50% and also helped in error prevention such as missing any item or error in manual calculation of the test score. The tool revealed about 88% children were suffering from Autism among them 32% were suffering with Mild, 51% Moderate and 5% Severe level of Autism. We found the tool was 98% sensitive and 94% Specific in consideration of the Gold Standard of DSM-5 applied by expert professionals that was very satisfactory to use. CONCLUSIONS The Bangla autism assessment scale is a valid instrument for autism assessment and mobile application was useful. However, we recommend that the tool should be used by appropriate professionals after the first line screening to confirm the diagnosis and severity assessment.

Assessing Resident Diagnostic Skills Using a Modified Bronchiolitis Score

2019 ◽  
Author(s):  
Andrea V Rivera-Sepulveda ◽  
Muguette Isona
Keyword(s):  
Respiratory Distress ◽  
Internal Consistency ◽  
Assessment Tool ◽  
Severity Assessment ◽  
Rater Reliability ◽  
Intra Class Correlation ◽  
Pediatric Residents ◽  
Diagnostic Skills ◽  
Good Internal Consistency ◽  
Level Of Agreement

Abstract Objective: The purpose of this study is to evaluate resident’s assessment of respiratory distress compared to attending’s assessment in the academic setting. Results: We evaluated resident’s assessment of respiratory distress in children through inter-rater reliability of a bronchiolitis severity assessment tool among pediatric attendings and pediatric residents. Inter-rater reliability (IRR) was assessed using a one-way random, average measures intra-class correlation (ICC) to evaluate the degree of consistency and magnitude of disagreement between inter-raters. Value of >0.6 was considered substantial for kappa and good internal consistency for ICC. Twenty patients were evaluated. Analysis showed fair agreement for the presence of retractions (K=0.31), auscultation (K=0.33), and total score (K=0.3). The RR (ICC=0.97), peripheral saturation (ICC=1.0), auscultation (ICC=0.77), and total score (ICC=0.84) were scored similarly across both raters, indicating excellent IRR. The identification of retractions had the least level of agreement.

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