Further validation of an opioid risk assessment tool: The Brief Risk Interview

2014 ◽  
Vol 10 (5) ◽  
pp. 353 ◽  
Author(s):  
Ted Jones, PhD ◽  
Samantha Lookatch, MA ◽  
Patricia Grant, MS, ANP-C ◽  
Janice McIntyre, MS, ANP-C ◽  
Todd Moore, PhD

Opioids remain a common method of treating chronic pain conditions despite some controversy. In an effort to address some of the risks of opioid medications, opioid risk assessment has become a standard of care when opioids are used to treat a chronic pain condition. Research to date has found that clinical interviews may be superior to currently available patient-completed written questionnaires in identifying patients likely to engage in medication aberrant behavior. The Brief Risk Interview (BRI) has been developed as a risk assessment tool that has the sensitivity of a clinical interview while eliminating the need for the lengthy process of an interview. The current study compared the predictive ability of the BRI with two commonly used patient-completed risk assessment tools: the Opioid Risk Tool (ORT) and the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R). After clinical staff at a pain practice underwent a 1-hour training program, 124 consecutive new patients were evaluated using the BRI, ORT, and SOAPP-R. Follow-up data found that the BRI was a good predictor of medication aberrant behavior and offered better sensitivity and better overall predictive accuracy than the ORT or the SOAPP-R. Overall, it appears that the BRI is a valid risk assessment tool that, after a brief training session, can be used effectively by pain clinicians. Further study is needed in other practice settings and with larger sample sizes.

2015 ◽  
Vol 11 (2) ◽  
pp. 171 ◽  
Author(s):  
Ted Jones, PhD ◽  
Samantha Lookatch, MA ◽  
Todd Moore, PhD

Opioids remain a common method of treating chronic pain conditions despite some controversy. In an effort to address some of the risks of opioid medications, opioid risk assessment has become a standard of care when opioids are used to treat a chronic pain condition. Research to date has found that many currently available patient-completed written questionnaires are relatively poor at identifying which patients will engage in medication aberrant behavior in the future. Clinical interview techniques have been found to provide better prediction, but practitioners often prefer the convenience of patient-completed tools. In this study, a new brief patient-completed risk tool, the Brief Risk Questionnaire (BRQ), was created and compared with a structured clinical interview and two commonly used patient-completed risk assessment tools: the Opioid Risk Tool (ORT) and Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R). The different risk assessment measures were administered to 454 patients at a pain clinic and their prediction of medication aberrant behavior at 6-month follow-up was compared. Results found that the BRQ was able to predict future medication aberrant behavior better than the other two patient-completed risk measures and almost as well overall as a structured clinical interview rating system. This study indicates that the BRQ could be a useful new tool for clinicians in conducting opioid risk assessment.


2011 ◽  
Vol 7 (5) ◽  
pp. 347-351 ◽  
Author(s):  
Ted Jones, PhD ◽  
Steven D. Passik, PhD

Risk assessment and stratification have become important aspects for the prescription of opioids to patients with chronic pain. Recent research has shown that the Opioid Risk Tool (ORT), a widely used risk assessment tool, has poor predictive abilities when compared with other risk assessment methods. This study compares two different methods of administration of the ORT to further study this issue. Patients at a pain practice were given an ORT to complete per the usual method of administration. In addition, a separate blinded ORT was completed by a psychologist after conducting a clinical interview with the patient. The results of the patient-completed ORT (PC-ORT) and the clinician-completed ORT (CC-ORT) were compared. There were significant differences found between the two, with the psychologist usually rating the patient higher in risk. The CC-ORT demonstrated better prediction of aberrant drug-taking behavior than the PC-ORT. The items that were discrepant between the two suggest that the differences were primarily due to comprehension issues. A strategy to help maximize the usefulness of the ORT derived from this finding and clinical experience is discussed.


Author(s):  
Jieun Kim ◽  
Worlsook Lee ◽  
Seon Heui Lee

As falls are among the most common causes of injury for the elderly, the prevention and early intervention are necessary. Fall assessment tools that include a variety of factors are recommended for preventing falls, but there is a lack of such tools. This study developed a multifactorial fall risk assessment tool based on current guidelines and validated it from the perspective of professionals. We followed the Meta-Analysis of Observational Studies in Epidemiology’s guidelines in this systematic review. We used eight international and five Korean databases to search for appropriate guidelines. Based on the review results, we conducted the Delphi survey in three rounds; one open round and two scoring rounds. About nine experts in five professional areas participated in the Delphi study. We included nine guidelines. After conducting the Delphi study, the final version of the “Multifactorial Fall Risk Assessment tool for Community-Dwelling Older People” (MFA-C) has 36 items in six factors; general characteristics, behavior factors, disease history, medication history, physical function, and environmental factors. The validity of the MFA-C tool was largely supported by various academic fields. It is expected to be beneficial to the elderly in the community when it comes to tailored interventions to prevent falls.


2018 ◽  
Vol 38 (7/8) ◽  
pp. 286-294 ◽  
Author(s):  
Gina Agarwal ◽  
Ying Jiang ◽  
Chantal Lemieux ◽  
Susan Rogers Van Katwyk ◽  
Yang Mao ◽  
...  

Introduction South Asians have a higher than average risk of developing type 2 diabetes. We ascertained the effectiveness of CANRISK, an existing diabetes risk assessment tool, examining its sensitivity and specificity at two different predetermined scoring cut-off points comparing those participants under the age of 40 and those 40 and over. We examined the predictive ability of a model based on CANRISK variables, comparing ethno-specific body mass index (BMI) and waist circumference (WC) cut-off points with the original BMI and WC cut-off points to see if predictive ability could be improved for this population. Methods Canadian South Asians of unknown diabetes status, age 18 to 78, were recruited across seven provinces from various community or health centers. CANRISK variables were collected followed by oral glucose tolerance testing. Descriptive analysis, logistic regression including alternative ethno-specific BMI and WC cut-off points, and sensitivity and specificity analyses were performed. Results 832 participants were recruited (584 under age 40). Using the entire study sample, logistic regression models including CANRISK variables predicted dysglycemia effectively (AUC of 0.80). However, by using alternative BMI/WC cut-off points with the scoring algorithm, predictive power via AUC was not improved. Sensitivity and specificity of CANRISK using the original pre-determined “high risk” cut-off point of 33 points in individuals age 40 years or over were 93% and 35%, respectively; in individuals under 40, these were 33% and 92%, respectively. Using the lower pre-determined “moderate risk” cut-off point of 21 points improved the sensitivity to 77% and specificity to 53% in the younger age group. Conclusion The existing CANRISK is an adequate risk assessment tool for dysglycemia in Canadian South Asians for those age 40 years and over; however, the tool does not work as well for individuals under 40. The lower cut-off of 21 points may be warranted for younger individuals to minimize false negatives. Ethno-specific BMI/WC cutoff points did not improve predictive ability of the CANRISK scoring algorithm as measured by AUC.


2020 ◽  
Vol 63 (1) ◽  
pp. 21-26
Author(s):  
Manjinder Bamotra ◽  
Wendy Pons ◽  
Ian Young

In Ontario, public health units collect surveillance data on vector-borne diseases (VBD) to determine emerging trends and develop VBD management strategies. Risk-assessment tools that are simple and easily applied can provide public health practitioners with objective evaluations of the risk of West Nile virus (WNV) activity in their jurisdiction. This study was conducted to evaluate an existing WNV risk-assessment tool used by a public health unit in southern Ontario. The purpose of this study was to: (i) describe the trends for WNV in mosquito and human cases in the Region of Peel, Ontario, Canada, and (ii) investigate the ability of the risk-assessment tool to predict positive human cases and positive mosquito traps in the following weeks. Data were collected from 2011 to 2016 and analysed using simple descriptive statistics and Fisher’s exact tests. This study found the tool includes variables that are not significant in predicting WNV activity in the following weeks. The current tool should be revised to remove variables that are not significant in predicting risk and add additional variables that have been shown to be effective predictors in other studies, such as rainfall and human WNV cases in the previous year.


Author(s):  
Karen Chovan ◽  
Michel R. Julien ◽  
Edouardine-Pascale Ingabire ◽  
Michael James ◽  
Edouard Masengo ◽  
...  

The recent occurrence of several major failures of tailings storage facilities (TSF) has caused the mining industry to focus on significantly improving the engineering and management (design, construction, operation, and monitoring) of these structures to reduce their environmental impact. This effort is led by the Mining Association of Canada, which mandates the application of risk assessment in tailings management. Due to the very complex nature of TSF, such as phased design and construction, continuous operation, and evolving guidelines and practices over many years, the application of traditional risk assessment tools has limitations. A risk assessment tool specifically developed for TSF management is presented. This tool is based on the work of Silva et al. (2008) that relates the annual probability of failure to the factor of safety and the level of engineering. This relationship was modified to reflect current practice. The annual probability of failure was then combined with a consequence rating to produce a rational and quantifiable evaluation of risk. The risk assessment tool provides detailed information on the level of practice of a structure, the corresponding annual probability of failure as well as the associated risk. Validation of the tool included application to a recent well-documented failure.


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