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Clinical Decision Rule

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141. Prediction of violent crime on discharge from secure psychiatric hospitals: A clinical prediction rule (FoVOx) (PubMed)

Prediction of violent crime on discharge from secure psychiatric hospitals: A clinical prediction rule (FoVOx) Current approaches to assess violence risk in secure hospitals are resource intensive, limited by accuracy and authorship bias and may have reached a performance ceiling. This study seeks to develop scalable predictive models for violent offending following discharge from secure psychiatric hospitals.We identified all patients discharged from secure hospitals in Sweden between January (...) secure hospitals that can assist in clinical decision-making. Scalable predictive models for violence risk are possible in specific patient groups and can free up clinical time for treatment and management. Further evaluation in other countries is needed.Wellcome Trust (202836/Z/16/Z) and the Swedish Research Council. The funding sources had no involvement in writing of the manuscript or decision to submit or in data collection, analysis or interpretation or any aspect pertinent

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2018 European Psychiatry

142. Trustworthy or flawed clinical prediction rule? (PubMed)

Trustworthy or flawed clinical prediction rule? 29415758 2018 05 14 2018 12 02 1466-609X 22 1 2018 02 08 Critical care (London, England) Crit Care Trustworthy or flawed clinical prediction rule? 31 10.1186/s13054-018-1961-9 Granholm Anders A Department of Intensive Care 4131, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark. Perner Anders A Department of Intensive Care 4131, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen (...) in Intensive Care, Blegdamsvej 9, 2100, Copenhagen, Denmark. mortenhylander@gmail.com. eng Letter Comment 2018 02 08 England Crit Care 9801902 1364-8535 IM Crit Care. 2017 Dec 12;21(1):301 29233160 Decision Support Techniques Emergency Service, Hospital Humans Predictive Value of Tests 2017 12 23 2018 01 18 2018 2 9 6 0 2018 2 9 6 0 2018 5 15 6 0 epublish 29415758 10.1186/s13054-018-1961-9 10.1186/s13054-018-1961-9 PMC5804002 J Clin Epidemiol. 2011 Sep;64(9):993-1000 21411281 Intensive Care Med. 2014 Apr

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2018 Critical Care

143. Development of Clinical Prediction Rules and Health Services Research in Patients With Heart Failure

Development of Clinical Prediction Rules and Health Services Research in Patients With Heart Failure Development of Clinical Prediction Rules and Health Services Research in Patients With Heart Failure - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please (...) remove one or more studies before adding more. Development of Clinical Prediction Rules and Health Services Research in Patients With Heart Failure (ESSIC) The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our for details. ClinicalTrials.gov Identifier: NCT03512704 Recruitment Status : Completed First Posted : May 1, 2018 Last Update Posted : February 5

2018 Clinical Trials

144. Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource. (PubMed)

literature-based evidence may serve as the candidates for new hypotheses to explore and investigate. Together with literature-based evidence, the association rules mined over the NSRR clinical datasets may be used to support clinical decisions for sleep-related problems. (...) Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource. Association Rule Mining (ARM) has been widely used by biomedical researchers to perform exploratory data analysis and uncover potential relationships among variables in biomedical datasets. However, when biomedical datasets are high-dimensional, performing ARM on such datasets will yield a large number of rules, many of which may be uninteresting. Especially

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2018 Medical Informatics and Decision Making

145. Psychiatric Medications and Reproductive Safety: Scientific and Clinical Perspectives Pertaining to the US FDA Pregnancy and Lactation Labeling Rule. (PubMed)

Psychiatric Medications and Reproductive Safety: Scientific and Clinical Perspectives Pertaining to the US FDA Pregnancy and Lactation Labeling Rule. Pregnancy labeling of prescription medications in the US is in the midst of a major transformation. The FDA's previous system, which used letter ratings to convey drug safety, was simple but led to misunderstandings-both faulty assurances and undue concerns. The new system, established under the Pregnancy and Lactation Labeling Rule, aims for more (...) descriptive and up-to-date explanations of risk as well as context needed for informed decision-making based on available data. In April 2017, a conference titled "Pharmacovigilance, Reproductive Safety, and the Pregnancy and Lactation Labeling Rule" brought together clinicians and researchers, FDA officials, and representatives of the public and industry to discuss a host of questions relating to the new system. This Academic Highlights article summarizes their discussions, which included topics

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2018 Journal of Clinical Psychiatry

146. Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule. (PubMed)

of these variables were mediators, indicating that modifying them may be feasible, and the potential focus of interventions to decrease the risk of chronic opioid use, or at minimum better inform opioid prescribing decisions. This clinical prediction rule needs further validation. (...) Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule. Prescription opioid use at high doses or over extended periods of time is associated with adverse outcomes, including dependency and abuse. The aim of this study was to identify mediating variables that predict chronic opioid use, defined as three or more prescriptions after orthopedic surgery.Individuals were ages between 18 and 50 years and undergoing arthroscopic hip surgery

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2018 Perioperative Medicine

147. "Rule of Spence" and Dickman's Classification of Transverse Atlantal Ligament Injury Revisited: Discrepancy of Prediction on Atlantoaxial Stability Based on Clinical Outcome of Non-Operative Treatment for Atlas Fractures. (PubMed)

"Rule of Spence" and Dickman's Classification of Transverse Atlantal Ligament Injury Revisited: Discrepancy of Prediction on Atlantoaxial Stability Based on Clinical Outcome of Non-Operative Treatment for Atlas Fractures. Detailed clinical information of 13 adult patients with acute atlantal fractures underwent nonoperative treatment was retrospectively studied. "Rule of Spence" was found inaccurate in predicting either integrity of transverse atlantal ligament (TAL) or atlantoaxial stability (...) , whereas Dickman's classification of TAL injury was more superior to "rule of Spence" on both prediction.A retrospective study.To evaluate the prediction accuracy of "Rule of Spence" and Dickman's classification of the transverse atlantal ligament (TAL) injury on clinical outcomes (mainly focused on atlantoaxial stability) of atlas fractures treated nonoperatively.TAL is regarded as primary stabilizer of the atlantoaxial complex. Atlas fractures are categorized as unstable and stable according to TAL

2018 Spine

148. Chronic Care Model decision support and clinical information systems interventions for people living with HIV: a systematic review

Chronic Care Model decision support and clinical information systems interventions for people living with HIV: a systematic review Chronic Care Model decision support and clinical information systems interventions for people living with HIV: a systematic review Chronic Care Model decision support and clinical information systems interventions for people living with HIV: a systematic review Pasricha A, Deinstadt RT, Moher D, Killoran A, Rourke SB, Kendall CE CRD summary The authors concluded (...) that Decision Support and Clinical Information Systems Interventions may modestly improve care for individuals with HIV and process measures were more likely to be improved than definitive outcome measures. Potential for bias in the review and limitations in the evidence were acknowledged by the authors. These potential shortcomings make the reliability of the authors' cautious conclusion unclear. Authors' objectives To assess the effectiveness of Chronic Care Model Decision Support and Clinical Information

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2014 DARE.

149. Two simple questions help GPs rule out depression

Two simple questions help GPs rule out depression Two simple questions help GPs rule out depression Discover Portal Discover Portal Two simple questions help GPs rule out depression Published on 23 March 2016 doi: The Whooley questions are useful for ruling out depression in that few people who answer no to both questions are depressed according to a ‘gold standard’ diagnostic interview. A positive screen is indicated by the person answering “yes” to one or both of the Whooley questions (...) to little harm. In terms of the ability of the test to rule out or rule in depression the pooled positive likelihood ratio of 2.78 (95% CI 2.16 to 3.57) and the pooled negative likelihood ratio of 0.07 (95% CI 0.03 to 0.16) mean that the questions are best at ruling out depression. In the setting of general practice, with less than 20% prevalence of depression, a negative result on the questions (two no’s) effectively means the chance of having depression is reduced from 20% to less than 2%. There were

2019 NIHR Dissemination Centre

150. Prediction rule: Use of the M-CHAT follow-up interview (M-CHAT/F) by paediatricians during well-child care visits is feasible, valid and reliable

and reliable Article Text Diagnosis Prediction rule Use of the M-CHAT follow-up interview (M-CHAT/F) by paediatricians during well-child care visits is feasible, valid and reliable Thyde Dumont-Mathieu Statistics from Altmetric.com Citation: Sturner R, Howard B, Bergmann P, et al . Autism screening with online decision support by primary care pediatricians aided by M-CHAT/F. Pediatrics . 2016 Sep;138: e20153036. Context Early identification of children with autism spectrum disorders (ASDs) leads to early (...) Prediction rule: Use of the M-CHAT follow-up interview (M-CHAT/F) by paediatricians during well-child care visits is feasible, valid and reliable Use of the M-CHAT follow-up interview (M-CHAT/F) by paediatricians during well-child care visits is feasible, valid and reliable | BMJ Evidence-Based Medicine We use cookies to improve our service and to tailor our content and advertising to you. You can manage your cookie settings via your browser at any time. To learn more about how we use cookies

2017 Evidence-Based Medicine (Requires free registration)

151. Ten simple rules for conducting umbrella reviews

Ten simple rules for conducting umbrella reviews Ten simple rules for conducting umbrella reviews | Evidence-Based Mental Health We use cookies to improve our service and to tailor our content and advertising to you. You can manage your cookie settings via your browser at any time. To learn more about how we use cookies, please see our . Log in using your username and password For personal accounts OR managers of institutional accounts Username * Password * your user name or password? Search (...) for this keyword Search for this keyword Main menu Log in using your username and password For personal accounts OR managers of institutional accounts Username * Password * your user name or password? You are here Ten simple rules for conducting umbrella reviews Article Text Statistics in practice Ten simple rules for conducting umbrella reviews Free Paolo Fusar-Poli , , , Joaquim Radua , , Statistics from Altmetric.com Introduction Medical knowledge traditionally differs from other domains of human culture

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2018 Evidence-Based Mental Health

152. Clinical Evaluation of the "NICU Clinical Decision Support Dashboard"

access to other resources at their fingertips. Other Name: Lotus Dashboard No Intervention: Standard Care: Parent The Parental Control group will receive standard of care without any study devices. Experimental: NICU Dashboard: Clinician The Clinician group will have access to the NICU Dashboard, which presents information from the EHR, bedside monitoring, and other systems of record through a pre-released FDA Class 2 clinical decision support rule-based system, to assist the appropriate evidence (...) Clinical Evaluation of the "NICU Clinical Decision Support Dashboard" Clinical Evaluation of the "NICU Clinical Decision Support Dashboard" - MHSB - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before adding more. Clinical

2018 Clinical Trials

153. Clinical Evaluation of the "NICU Clinical Decision Support Dashboard"

of record through a pre-released FDA Class 2 clinical decision support rule-based system, to assist the appropriate evidence-based guidelines be integrated with team workflows. Caregivers educate and coach parents to facilitate integrating them into their infant's care. NICU clinicians will be asked to complete questionnaires 1) prior to clinical go-live of the intervention (baseline), 2) at the study mid-way point, and 3) upon completion of parent recruitment. Device: NICU Dashboard The NICU Dashboard (...) Clinical Evaluation of the "NICU Clinical Decision Support Dashboard" Clinical Evaluation of the "NICU Clinical Decision Support Dashboard" - CHMCO - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before adding more. Clinical

2018 Clinical Trials

154. Decision-making criteria for CT head scans on patients not on anti-coagulants

clinical decision rules, and excludes studies deriving new adult clinical decision rules. ? The Guideline Development Group (GDG) recommends clinical decision rules that had been well tested in relevant populations. ? Full literature searches, critical appraisals and evidence reviews were completed to address the question: “What is the best clinical decision rule for selecting adults, infants and children with head injury for CT head scan?” ? Literature review and extensive consultation (...) - reviewed journals and the application of a well-established consensus methodology (modified Delphi) to rate the appropriateness of imaging and treatment procedures by the panel. ? Where evidence is lacking or not definitive, expert opinion may be used to recommend imaging or treatment. ? The review presents several clinical decision rules which have been tested in clinical practice and reports the results of their use. Criteria for patient selection for CT head scans Criteria for performing a CT head

2019 Monash Health Evidence Reviews

155. Selecting pregnant or postpartum women with suspected pulmonary embolism for diagnostic imaging: the DiPEP diagnostic study with decision-analysis modelling

. Please choose a page from the navigation or try a website search above to find the information you need. >> >> >> >> Issue {{metadata .Issue }} Toolkit 1)"> 0)"> 1)"> {{metadata.Title}} {{metadata.Headline}} Clinical features, decision rules and biomarkers do not accurately select pregnant or postpartum women with suspected pulmonary embolism for diagnostic imaging. {{author}} {{($index , , , , , , , , , & . Steve Goodacre 1, * , Kimberley Horspool 1 , Neil Shephard 1 , Daniel Pollard 1 , Beverley J (...) Selecting pregnant or postpartum women with suspected pulmonary embolism for diagnostic imaging: the DiPEP diagnostic study with decision-analysis modelling Selecting pregnant or postpartum women with suspected pulmonary embolism for diagnostic imaging: the DiPEP diagnostic study with decision-analysis modelling Journals Library An error occurred retrieving content to display, please try again. >> >> >> Page Not Found Page not found (404) Sorry - the page you requested could not be found

2018 NIHR HTA programme

156. Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting. (PubMed)

Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting. Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of false alerts.In this prospective study, we evaluated the accuracy, validity, and clinical (...) in subsequent medical orders.A clinical decision support system that used a probabilistic, machine-learning approach based on statistically derived outliers to detect medication errors generated clinically useful alerts. The system had high accuracy, low alert burden and low false-positive rate, and led to changes in subsequent orders.© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email

2019 Journal of the American Medical Informatics Association

157. Rapid Use of High-sensitive Cardiac Troponin I for ruling-in and Ruling-out of Acute Myocardial Infarction

). Please remove one or more studies before adding more. Rapid Use of High-sensitive Cardiac Troponin I for ruling-in and Ruling-out of Acute Myocardial Infarction (RACING-MI) The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. of clinical studies and talk to your health care provider before participating. Read our for details. ClinicalTrials.gov Identifier (...) Rapid Use of High-sensitive Cardiac Troponin I for ruling-in and Ruling-out of Acute Myocardial Infarction Rapid Use of High-sensitive Cardiac Troponin I for ruling-in and Ruling-out of Acute Myocardial Infarction - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100

2018 Clinical Trials

158. Feasibility and Security of a Rapid Rule-out and rule-in Troponin Protocol in the Management of NSTEMI in an Emergency Departement

reached the maximum number of saved studies (100). Please remove one or more studies before adding more. Feasibility and Security of a Rapid Rule-out and rule-in Troponin Protocol in the Management of NSTEMI in an Emergency Departement (ICTUS) The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. of clinical studies and talk to your health care provider before (...) for consultation in emergency departments. Among cardiological causes, quickly diagnosing NSTEMI optimize patient treatment. To do this, the European Society of Cardiology, proposed in 2015 an one hour rule-in rule out troponin dosage based protocol. These recommendations should allow a faster diagnosis of NSTEMI but also a rule-out of patients with a low to moderate clinical probability of coronary heart disease. It could also improve efficiency in emergency departements decreasing the length of stay

2018 Clinical Trials

159. Clinical Decision Rule for Pediatric Intracranial Pathology

Clinical Decision Rule for Pediatric Intracranial Pathology Clinical Decision Rule for Pediatric Intracranial Pathology - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before adding more. Clinical Decision Rule for Pediatric (...) Hospitals and Clinics of Minnesota Information provided by (Responsible Party): Children's Hospitals and Clinics of Minnesota Study Details Study Description Go to Brief Summary: The purpose of this study is to develop a clinical decision rule for patients seen in the pediatric emergency department for possible intracranial pathology. This a prospective study evaluating patients presenting with headache and migraine. The study is observational and does not impact patient care. Condition or disease

2015 Clinical Trials

160. Impact of a clinical decision support tool on adherence to the Ottawa Ankle Rules. (PubMed)

Impact of a clinical decision support tool on adherence to the Ottawa Ankle Rules. The objective of the study is to determine impact of a clinical decision support (CDS) tool on documented adherence to the Ottawa Ankle Rules (OAR) and utilization and yield of ankle/foot radiography, for emergency department patients with acute ankle injury.This is a before-and-after intervention study conducted at a 793-bed, quaternary care, academic hospital from August 2012 to October 2013. Emergency (...) department visits from adults with acute ankle injury 6 months before and 8 months after the intervention were included. The intervention embedded the OAR into a CDS tool integrated with a computerized physician order entry system, which had data capture capability and provided feedback at the time of ankle/foot radiography order. Primary outcome was rate of documented adherence to OAR. Secondary outcomes were utilization and yield (clinically significant fracture rates among patients with acute ankle

2015 American Journal of Emergency Medicine

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