Wisdom of the CROUD:  Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data.

07:00 EST 13th February 2020 | BioPortfolio

Summary of "Wisdom of the CROUD:  Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data."

Some patients who are given opioids for pain could develop opioid use disorder. If it was possible to identify patients who are at a higher risk of opioid use disorder, then clinicians could spend more time educating these patients about the risks. We develop and validate a model to predict a person's future risk of opioid use disorder at the point before being dispensed their first opioid.


Journal Details

This article was published in the following journal.

Name: PloS one
ISSN: 1932-6203
Pages: e0228632


DeepDyve research library

PubMed Articles [35749 Associated PubMed Articles listed on BioPortfolio]

Development of a Theory of Wisdom-in-Action for Clinical Nursing.

Nurses published dialogues on wisdom; yet, a conceptual model is unavailable. We present the development process for a theory of wisdom-in-action for clinical nursing developed in 3 phases: (1) a dedu...

Development and Validation of a Risk Prediction Model for Cesarean Delivery After Labor Induction.

The goal of the study was to develop and validate a prediction model for cesarean delivery after labor induction that included factors known before the start of induction, unlike prior studies that fo...

Validation of Bioavailability-Based Toxicity Models for Metals.

Regulatory jurisdictions worldwide are increasingly incorporating bioavailability-based toxicity models into development of protective values (PVALs) for freshwater and saltwater aquatic life (e.g., w...

Prediction of Survival Among Patients Receiving Transarterial Chemoembolization for Hepatocellular Carcinoma: A Response-Based Approach.

The heterogeneity of intermediate-stage hepatocellular carcinoma (HCC) and the widespread use of transarterial chemoembolization (TACE) outside recommended guidelines have encouraged the development o...

Development and validation of a machine learning model for prediction of shoulder dystocia.

We sought to develop a machine learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model accuracy and potential clinical efficacy in optimizing the use of cesa...

Clinical Trials [13453 Associated Clinical Trials listed on BioPortfolio]

Prediction of STN DBS Motor Response in PD

Despite careful patient selection for subthalamic nucleus deep brain stimulation (STN DBS), some Parkinson's disease (PD) patients show limited improvement of motor disability. Non-conclus...

Comparison of Delirium Evaluation Tools Effectiveness in Intensive Care Patients

This study compares the efficacy of scoring models used in delirium prediction in patients applying to intensive care unit. The diagnosis of delirium is based on the Intensive Care Deliriu...

Acute Inflammation After Wisdom Tooth Removal

Third molar (wisdom teeth) extraction is one of the most frequent intervention in dentistry. Nevertheless, little is known about the level of general body inflammation of subjects with imp...

Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer

In this study, investigators utilize a radiomics prediction model to predict the tumor response to neoadjuvant chemoradiotherapy (nCRT) before the nCRT is administered for patients with lo...

Dementia Risk Prediction Model: Development and Validation

At present, there is no treatment for dementia that changes the course of the disease. However, it is now understoodd that the proteins in dementias such as Alzheimer's disease are present...

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.

Analyses for a specific enzyme activity, or of the level of a specific enzyme that is used to assess health and disease risk, for early detection of disease or disease prediction, diagnosis, and change in disease status.

The development and application of computational models of human pathophysiology that are individualized to patient-specific data.

Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.

Quick Search

DeepDyve research library

Relevant Topic

Pain is defined by the International Association for the Study of Pain as “an unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage”. Some illnesses can be excruci...

Searches Linking to this Article