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Opioids & SU

The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More

Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).

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11248 Results
7642
Predicting substance use treatment completion & reunification among family treatment court-involved parent–child dyads
Type: Journal Article
Authors: Margaret H. Lloyd Sieger, Jessica Becker, Xholina Nano, Jody P. Brook
Year: 2022
Topic(s):
Education & Workforce See topic collection
,
Healthcare Disparities See topic collection
,
Opioids & Substance Use See topic collection
7643
Predicting substance use treatment progress for geographically isolated adolescents in community care
Type: Journal Article
Authors: Puanani J. Hee, Charles W. Mueller
Year: 2022
Topic(s):
Healthcare Disparities See topic collection
,
Opioids & Substance Use See topic collection
7644
Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from Spain
Type: Journal Article
Authors: J. A. Bellon, de Dios Luna, M. King, B. Moreno-Kustner, I. Nazareth, C. Monton-Franco, M. J. Gildegomez-Barragan, M. Sanchez-Celaya, M. A. Diaz-Barreiros, C. Vicens, J. A. Cervilla, I. Svab, H. I. Maaroos, M. Xavier, M. I. Geerlings, S. Saldivia, B. Gutierrez, E. Motrico, M. T. Martinez-Canavate, B. Olivan-Blazquez, M. S. Sanchez-Artiaga, S. March, Del Mar Munoz-Garcia, A. Vazquez-Medrano, P. Moreno-Peral, F. Torres-Gonzalez
Year: 2011
Abstract: BACKGROUND: The different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care.MethodA prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI). RESULTS: Six variables were patient characteristics or past events (sex, age, sexxage interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79-0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, p<0.0001] mainly due to the increase in sensitivity. Both the IDI and calibration plots showed that the PSRA functioned better than the PERA in Spain. CONCLUSIONS: The PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries.
Topic(s):
General Literature See topic collection
7645
Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
Type: Journal Article
Authors: S. Zamirinejad, S. K. Hojjat, A. Moslem, V. MoghaddamHosseini, A. Akaberi
Year: 2018
Publication Place: United States
Abstract: Substance use is a globally devastating social problem. Early maladaptive schemas (EMSs) are inefficient mechanisms leading directly or indirectly to psychological distress. The current study aimed to assess the role of EMSs in predicting opioid use disorder. The cross-sectional study was conducted in 2013 in Bojnurd at northeast of Iran on 60 male opioid users who received Methadone Maintenance Treatment (MMT) and 60 control males. The opioid users were selected randomly from MMT clinics and control subjects were selected and matched with opioid users using demographic variables. The subjects completed the Young Schema Questionnaire-Short Form (YSQ-SF). Except for SS (self-sacrifice), EG (entitlement/grandiosity), US (unrelenting standards), and FA (Failure to Achieve), the mean of other maladaptive schemas in the opioid user group were significantly higher than that of the control group, adjusted for multiple comparisons. Multivariate analysis of variance (MANOVA) indicated significant differences in maladaptive schemas between the two groups. Logistic regression identified that Emotional Deprivation, Mistrust/Abuse, and Unrelenting Standards can predict opioid use. As a result, the risk of opioid-related disorders in people with higher YSQ-SF scores in these schemas is higher. The findings conclude that the existence of underlying EMS may constitute a vulnerability factor for developing opioid use disorders later on in life. Provided the vast amount of scientific literature in evidence-based treatments focusing on EMSs, maladaptive schemas and related core beliefs can be detected and treated in adolescence to prevent the enactment of the schema and psychological distress likely to induce opioid use.
Topic(s):
Opioids & Substance Use See topic collection
7646
Predicting treatment for neonatal abstinence syndrome in infants born to women maintained on opioid agonist medication
Type: Journal Article
Authors: Karol Kaltenbach, Amber M. Holbrook, Mara G. Coyle, Sarah H. Heil, Amy L. Salisbury, Susan M. Stine, Peter R. Martin, Hendree E. Jones
Year: 2012
Topic(s):
Opioids & Substance Use See topic collection
,
Healthcare Disparities See topic collection
7647
Prediction of Mental Health Services Use One Year After Regular Referral to Specialized Care Versus Referral to Stepped Collaborative Care
Type: Journal Article
Authors: Mirjam Orden, Stephanie Leone, Judith Haffmans, Philip Spinhoven, Erik Hoencamp
Year: 2017
Publication Place: , <Blank>
Topic(s):
General Literature See topic collection
7648
Prediction of Primary Care Depression Outcomes at Six Months: Validation of DOC-6 (c)
Type: Journal Article
Authors: K. B. Angstman, G. M. Garrison, C. A. Gonzalez, D. W. Cozine, E. W. Cozine, D. J. Katzelnick
Year: 2017
Publication Place: United States
Topic(s):
Measures See topic collection
7649
Predictive Factors Associated with Naloxone Prescription among Pregnant People Admitted for the Management of Opioid Use Disorder
Type: Journal Article
Authors: A. M. Gonzalez, M. E. Arlandson, A. Patel, A. Premkumar
Year: 2024
Abstract:

OBJECTIVE:  Our objective was to examine the biomedical and sociodemographic factors associated with the prescription of naloxone among pregnant people with opioid-use disorder (OUD) who were admitted for initiation of medications for OUD (i.e., buprenorphine-containing medications or methadone) following the implementation of a statewide initiative focused on reducing adverse perinatal health outcomes. STUDY DESIGN:  This is a single-site, retrospective cohort study of pregnant people admitted for the management of OUD at an urban, tertiary care center between 2013 and 2020. The primary outcome is evidence of a prescription of naloxone, ascertained from the electronic medical record. Bivariate and multivariable logistic regression modeling was performed to evaluate biomedical and sociodemographic variables associated with a prescription for naloxone. Covariates for inclusion in the multivariate logistic regression model were selected based on a p < 0.05 on bivariate analysis. Statistical significance was set at p < 0.05. RESULTS:  One hundred and thirty-nine participants met the inclusion criteria. On bivariate analysis, people who received naloxone were more likely to be admitted after the initiation of a statewide initiative focused on reducing adverse perinatal outcomes associated with perinatal OUD. Those individuals reporting intravenous drug use (IVDU) were less likely to receive naloxone. On multivariate logistic regression, after controlling for IVDU and epoch of admission, both IVDU (adjusted odds ratio [aOR]: 0.27, 95% confidence interval [CI]: 0.11-0.70) and epoch of admission (aOR: 3.48, 95% CI: 1.28-9.50) were independently associated with receipt of prescription of take-home naloxone. CONCLUSION:  Naloxone prescription was independently associated with the epoch of admission and route of drug administration. These data can be useful in the evaluation and development of clinical practices to increase rates of naloxone prescription in pregnant people with OUD admitted for inpatient management. KEY POINTS: · Thirty four percent of individuals with perinatal OUD were prescribed take-home naloxone (THN).. · Epoch of admission and route of drug administration were independently associated with THN.. · These data can be used to guide public health and clinical programming for pregnant people..

Topic(s):
Opioids & Substance Use See topic collection
,
Healthcare Disparities See topic collection
7650
Predictive modeling of addiction lapses in a mobile health application
Type: Journal Article
Authors: Ming-Yuan Chih, Timothy Patton, Fiona M. McTavish, Andrew J. Isham, Chris L. Judkins-Fisher, Amy K. Atwood, David H. Gustafson
Year: 2014
Topic(s):
Opioids & Substance Use See topic collection
,
HIT & Telehealth See topic collection
7651
Predictive variables of depressive symptoms and anxiety in older adults from primary care: a cross-sectional observational study
Type: Journal Article
Authors: I. Gómez-Soria, C. Ferreira, B. Olivan-Blazquez, A. Aguilar-Latorre, E. Calatayud
Year: 2024
Topic(s):
Healthcare Disparities See topic collection
,
Measures See topic collection
7652
Predictors of Abstinence: National Institute of Drug Abuse Multisite Buprenorphine/Naloxone Treatment Trial in Opioid-Dependent Youth
Type: Journal Article
Authors: Geetha A. Subramaniam, Diane Warden, Abu Minhajuddin, Marc J. Fishman, Maxine L. Stitzer, Bryon Adinoff, Madhukar Trivedi, Roger Weiss, Jennifer Potter, Sabrina A. Poole, George E. Woody
Year: 2011
Topic(s):
Opioids & Substance Use See topic collection
7653
Predictors of acceptance of offered care management intervention services in a quality improvement trial for dementia
Type: Journal Article
Authors: Marwa Kaisey, Brian Mittman, Marjorie Pearson, Karen I. Connor, Joshua Chodosh, Stefanie D. Vassar, France T. Nguyen, Barbara G. Vickrey
Year: 2011
Topic(s):
General Literature See topic collection
7655
Predictors of buprenorphine initial outpatient maintenance and dose taper response among non-treatment-seeking heroin dependent volunteers.
Type: Journal Article
Authors: Eric A. Woodcock, Leslie H. Lundahl, Mark K. Greenwald
Year: 2015
Topic(s):
Opioids & Substance Use See topic collection
7658
Predictors of depression screening rates of nurses receiving a personal digital assistant-based reminder to screen
Type: Journal Article
Authors: R. Schnall, L. M. Currie, H. Jia, R. M. John, N. J. Lee, O. Velez, S. Bakken
Year: 2010
Publication Place: United States
Abstract: The purpose of this study was to determine if race/ethnicity, payer type, or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen. The sample comprised 4,160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire (PHQ)-2/PHQ-9 integrated into a personal digital assistant-based clinical decision support system for depression screening and management. Nurses chose to screen in response to 52.5% of reminders. Adjusted odds ratios showed that payer type and nurse specialty, but not race/ethnicity, significantly predicted proportion of patients screened.
Topic(s):
Financing & Sustainability See topic collection
,
HIT & Telehealth See topic collection
7659
Predictors of dropout from inpatient opioid detoxification with buprenorphine: a chart review
Type: Journal Article
Authors: A. Hakansson, E. Hallen
Year: 2014
Publication Place: Egypt
Abstract: Inpatient withdrawal treatment (detoxification) is common in opioid dependence, although dropout against medical advice often limits its outcome. This study aimed to assess baseline predictors of dropout from inpatient opioid detoxification with buprenorphine, including age, gender, current substance use, and type of postdetoxification planning. A retrospective hospital chart review was carried out for inpatient standard opioid detoxifications using buprenorphine taper, in a detoxification ward in Malmo, Sweden (N = 122). Thirty-four percent of patients (n = 42) dropped out against medical advice. In multivariate logistic regression, dropout was significantly associated with younger age (OR 0.93 [0.89-0.97]) and negatively predicted by inpatient postdetoxification plan (OR 0.41 [0.18-0.94]), thus favouring an inpatient plan as opposed to outpatient treatment while residing at home. Dropout was unrelated to baseline urine toxicology. In opioid detoxification, patients may benefit from a higher degree of postdetoxification planning, including transition to residential treatment, in order to increase the likelihood of a successful detoxification and treatment entry. Young opioid-dependent patients may need particular attention in the planning of detoxification.
Topic(s):
Opioids & Substance Use See topic collection
7660
Predictors of enrollment in opioid agonist therapy after opioid overdose or diagnosis with opioid use disorder: A cohort study
Type: Journal Article
Authors: Alexandria Macmadu, Kimberly Paull, Rouba Youssef, Sivakumar Batthala, Kevin H. Wilson, Elizabeth A. Samuels, Jesse L. Yedinak, Brandon D. L. Marshall
Year: 2021
Topic(s):
Financing & Sustainability See topic collection
,
Healthcare Disparities See topic collection
,
Opioids & Substance Use See topic collection