scholarly journals Before and after: craving, mood, and background stress in the hours surrounding drug use and stressful events in patients with opioid-use disorder

2018 ◽  
Vol 235 (9) ◽  
pp. 2713-2723 ◽  
Author(s):  
Kenzie L. Preston ◽  
William J. Kowalczyk ◽  
Karran A. Phillips ◽  
Michelle L. Jobes ◽  
Massoud Vahabzadeh ◽  
...  
Keyword(s):  
Drug Use ◽  
Opioid Use Disorder ◽  
Stressful Events ◽  
Opioid Use ◽  
Before And After ◽  
The Hours

scholarly journals Mindfulness-Oriented Recovery Enhancement remediates anhedonia in chronic opioid use by enhancing neurophysiological responses during savoring of natural rewards

2021 ◽  
pp. 1-10
Author(s):  
Eric L. Garland ◽  
Spencer T. Fix ◽  
Justin P. Hudak ◽  
Edward M. Bernat ◽  
Yoshio Nakamura ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Skin Conductance Level ◽  
Opioid Therapy ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Natural Reward ◽  
Before And After ◽  
Natural Rewards ◽  
Chronic Opioid Use ◽  
Opioid Users

Abstract Background Neuropsychopharmacologic effects of long-term opioid therapy (LTOT) in the context of chronic pain may result in subjective anhedonia coupled with decreased attention to natural rewards. Yet, there are no known efficacious treatments for anhedonia and reward deficits associated with chronic opioid use. Mindfulness-Oriented Recovery Enhancement (MORE), a novel behavioral intervention combining training in mindfulness with savoring of natural rewards, may hold promise for treating anhedonia in LTOT. Methods Veterans receiving LTOT (N = 63) for chronic pain were randomized to 8 weeks of MORE or a supportive group (SG) psychotherapy control. Before and after the 8-week treatment groups, we assessed the effects of MORE on the late positive potential (LPP) of the electroencephalogram and skin conductance level (SCL) during viewing and up-regulating responses (i.e. savoring) to natural reward cues. We then examined whether these neurophysiological effects were associated with reductions in subjective anhedonia by 4-month follow-up. Results Patients treated with MORE demonstrated significantly increased LPP and SCL to natural reward cues and greater decreases in subjective anhedonia relative to those in the SG. The effect of MORE on reducing anhedonia was statistically mediated by increases in LPP response during savoring. Conclusions MORE enhances motivated attention to natural reward cues among chronic pain patients on LTOT, as evidenced by increased electrocortical and sympathetic nervous system responses. Given neurophysiological evidence of clinical target engagement, MORE may be an efficacious treatment for anhedonia among chronic opioid users, people with chronic pain, and those at risk for opioid use disorder.

scholarly journals Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives (Preprint)

2020 ◽  
Author(s):  
Joseph E Glass ◽  
Theresa E Matson ◽  
Catherine Lim ◽  
Andrea L Hartzler ◽  
Kilian Kimbel ◽  
...  
Keyword(s):  
Primary Care ◽  
Drug Use ◽  
Opioid Use Disorder ◽  
User Centered Design ◽  
Opioid Use ◽  
Kaiser Permanente ◽  
Secure Messaging ◽  
Phone Calls ◽  
Drug Use Disorders ◽  
User Centered

BACKGROUND Digital interventions, such as websites and smartphone apps, can be effective in treating drug use disorders (DUDs). However, their implementation in primary care is hindered, in part, by a lack of knowledge on how patients might like these treatments delivered to them. OBJECTIVE This study aims to increase the understanding of how patients with DUDs prefer to receive app-based treatments to inform the implementation of these treatments in primary care. METHODS The methods of user-centered design were combined with qualitative research methods to inform the design of workflows for offering app-based treatments in primary care. Adult patients (n=14) with past-year cannabis, stimulant, or opioid use disorder from 5 primary care clinics of Kaiser Permanente Washington in the Seattle area participated in this study. Semistructured interviews were recorded, transcribed, and analyzed using qualitative template analysis. The coding scheme included deductive codes based on interview topics, which primarily focused on workflow design. Inductive codes emerged from the data. RESULTS Participants wanted to learn about apps during visits where drug use was discussed and felt that app-related conversations should be incorporated into the existing care whenever possible, as opposed to creating new health care visits to facilitate the use of the app. Nearly all participants preferred receiving clinician support for using apps over using them without support. They desired a trusting, supportive relationship with a clinician who could guide them as they used the app. Participants wanted follow-up support via phone calls or secure messaging because these modes of communication were perceived as a convenient and low burden (eg, no copays or appointment travel). CONCLUSIONS A user-centered implementation of treatment apps for DUDs in primary care will require health systems to design workflows that account for patients’ needs for structure, support in and outside of visits, and desire for convenience.

scholarly journals Use of ICD-10 Codes for Identification of Injection Drug Use–Associated Infective Endocarditis Is Nonspecific and Obscures Critical Findings on Impact of Medications for Opioid Use Disorder

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Laura R Marks ◽  
Nathanial S Nolan ◽  
Linda Jiang ◽  
Dharushana Muthulingam ◽  
Stephen Y Liang ◽  
...  
Keyword(s):  
Infective Endocarditis ◽  
Drug Use ◽  
Injection Drug Use ◽  
Opioid Use Disorder ◽  
Injection Drug ◽  
Diagnosis Code ◽  
Opioid Use ◽  
Diagnosis Codes ◽  
All Cause Mortality ◽  
Icd 10

Abstract Background No International Classification of Diseases, 10th revision (ICD-10), diagnosis code exists for injection drug use–associated infective endocarditis (IDU-IE). Instead, public health researchers regularly use combinations of nonspecific ICD-10 codes to identify IDU-IE; however, the accuracy of these codes has not been evaluated. Methods We compared commonly used ICD-10 diagnosis codes for IDU-IE with a prospectively collected patient cohort diagnosed with IDU-IE at Barnes-Jewish Hospital to determine the accuracy of ICD-10 diagnosis codes used in IDU-IE research. Results ICD-10 diagnosis codes historically used to identify IDU-IE were inaccurate, missing 36.0% and misclassifying 56.4% of patients prospectively identified in this cohort. Use of these nonspecific ICD-10 diagnosis codes resulted in substantial biases against the benefit of medications for opioid use disorder (MOUD) with relation to both AMA discharge and all-cause mortality. Specifically, when data from all patients with ICD-10 code combinations suggestive of IDU-IE were used, MOUD was associated with an increased risk of AMA discharge (relative risk [RR], 1.12; 95% CI, 0.48–2.64). In contrast, when only patients confirmed by chart review as having IDU-IE were analyzed, MOUD was protective (RR, 0.49; 95% CI, 0.19–1.22). Use of MOUD was associated with a protective effect in time to all-cause mortality in Kaplan-Meier analysis only when confirmed IDU-IE cases were analyzed (P = .007). Conclusions Studies using nonspecific ICD-10 diagnosis codes for IDU-IE should be interpreted with caution. In the setting of an ongoing overdose crisis and a syndemic of infectious complications, a specific ICD-10 diagnosis code for IDU-IE is urgently needed.

Multi-site intervention to improve emergency department care for patients who live with opioid use disorder: A quantitative evaluation

CJEM ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. 784-792 ◽  
Author(s):  
Patrick McLane ◽  
Ken Scott ◽  
Zainab Suleman ◽  
Karen Yee ◽  
Brian R. Holroyd ◽  
...  
Keyword(s):  
Emergency Department ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Opioid Agonist ◽  
Emergency Department Care ◽  
Improvement Project ◽  
Health Crisis ◽  
Opioid Agonist Treatment ◽  
Before And After ◽  
Disorder Treatment

ABSTRACTBackgroundOpioid use disorder is a major public health crisis, and evidence suggests ways of better serving patients who live with opioid use disorder in the emergency department (ED). A multi-disciplinary team developed a quality improvement project to implement this evidence.MethodsThe intervention was developed by an expert working group consisting of specialists and stakeholders. The group set goals of increasing prescribing of buprenorphine/naloxone and providing next day walk-in referrals to opioid use disorder treatment clinics. From May to September 2018, three Alberta ED sites and three opioid use disorder treatment clinics worked together to trial the intervention. We used administrative data to track the number of ED visits where patients were given buprenorphine/naloxone. Monthly ED prescribing rates before and after the intervention were considered and compared with eight nonintervention sites. We considered whether patients continued to fill opioid agonist treatment prescriptions at 30, 60, and 90 days after their index ED visit to measure continuity in treatment.ResultsThe intervention sites increased their prescribing of buprenorphine/naloxone during the intervention period and prescribed more buprenorphine/naloxone than the controls. Thirty-five of 47 patients (74.4%) discharged from the ED with buprenorphine/naloxone continued to fill opioid agonist treatment prescriptions 30 days and 60 days after their index ED visit. Thirty-four patients (72.3%) filled prescriptions at 90 days.ConclusionsEmergency clinicians can effectively initiate patients on buprenorphine/naloxone when supports for this standardized evidence-based care are in place within their practice setting and timely follow-up in community is available.

scholarly journals Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives

10.2196/25866 ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. e25866
Author(s):  
Joseph E Glass ◽  
Theresa E Matson ◽  
Catherine Lim ◽  
Andrea L Hartzler ◽  
Kilian Kimbel ◽  
...  
Keyword(s):  
Primary Care ◽  
Drug Use ◽  
Opioid Use Disorder ◽  
User Centered Design ◽  
Opioid Use ◽  
Kaiser Permanente ◽  
Secure Messaging ◽  
Phone Calls ◽  
Drug Use Disorders ◽  
User Centered

Background Digital interventions, such as websites and smartphone apps, can be effective in treating drug use disorders (DUDs). However, their implementation in primary care is hindered, in part, by a lack of knowledge on how patients might like these treatments delivered to them. Objective This study aims to increase the understanding of how patients with DUDs prefer to receive app-based treatments to inform the implementation of these treatments in primary care. Methods The methods of user-centered design were combined with qualitative research methods to inform the design of workflows for offering app-based treatments in primary care. Adult patients (n=14) with past-year cannabis, stimulant, or opioid use disorder from 5 primary care clinics of Kaiser Permanente Washington in the Seattle area participated in this study. Semistructured interviews were recorded, transcribed, and analyzed using qualitative template analysis. The coding scheme included deductive codes based on interview topics, which primarily focused on workflow design. Inductive codes emerged from the data. Results Participants wanted to learn about apps during visits where drug use was discussed and felt that app-related conversations should be incorporated into the existing care whenever possible, as opposed to creating new health care visits to facilitate the use of the app. Nearly all participants preferred receiving clinician support for using apps over using them without support. They desired a trusting, supportive relationship with a clinician who could guide them as they used the app. Participants wanted follow-up support via phone calls or secure messaging because these modes of communication were perceived as a convenient and low burden (eg, no copays or appointment travel). Conclusions A user-centered implementation of treatment apps for DUDs in primary care will require health systems to design workflows that account for patients’ needs for structure, support in and outside of visits, and desire for convenience.

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