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1.
Am J Prev Med ; 60(1): e15-e26, 2021 01.
Article in English | MEDLINE | ID: mdl-33229143

ABSTRACT

CONTEXT: This study is a systematic review of interventions to improve adherence to guideline recommendations for prescribing opioids for chronic noncancer pain. EVIDENCE ACQUISITION: Investigators searched CINAHL, Embase, MEDLINE, PsycINFO, the Cochrane Library, and Joanna Briggs Institute Evid Based Pract database from inception until June 3, 2019. Interventional studies to improve adherence to recommendations made by opioid guidelines for chronic noncancer pain in North America were eligible if outcomes included adherence to guideline recommendations or change in quantity of opioids prescribed. Data were extracted independently and in duplicate. Quantitative synthesis was performed using random effects meta-analysis. Confidence in evidence was determined using the Grades of Recommendation, Assessment, Development, and Evaluation. EVIDENCE SYNTHESIS: A total of 20 studies (8 controlled and 12 prospective cohort) involving 1,491 providers and 72 clinics met inclusion. Interventions included education, audit and feedback, interprofessional support, shared decision making, and multifaceted strategies. Multifaceted interventions improved the use of urine drug testing (n=2, or =2.31, 95% CI=1.53, 3.49, z=3.98, p<0.01; high-certainty evidence), treatment agreements (n=2, or =1.96, 95% CI=1.47, 2.61, z=4.56, p<0.01; moderate-certainty evidence), and mental health screening (n=2, 2.57-fold, 95% CI=1.56, 4.24, z=2.32, p=0.02; low-certainty evidence) when prescribing opioids for chronic noncancer pain. Very low-certainty evidence suggests that several interventions improved the use of treatment agreements, urine drug testing, and prescription drug monitoring programs. CONCLUSIONS: Mostly very low-certainty evidence supports a number of interventions for improving adherence to risk management strategies when prescribing opioids for chronic noncancer pain; however, the effect on patient important outcomes (e.g., overdose, addiction, death) is uncertain.


Subject(s)
Analgesics, Opioid , Chronic Pain , Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Humans , North America , Practice Patterns, Physicians' , Prospective Studies
2.
Health Psychol ; 39(5): 430-451, 2020 May.
Article in English | MEDLINE | ID: mdl-31999179

ABSTRACT

OBJECTIVE: This review quantified prescriber adherence to opioid prescribing guidelines for chronic noncancer pain (CNCP). METHOD: We searched CINAHL, Embase, MEDLINE, PsycINFO, the Cochrane Library, and the Joanna Briggs Institute EBP Database from inception until June 3, 2019. Studies that focused on provider adherence to opioids guidelines for CNCP in North America were eligible. Four reviewers screened studies, extracted data, and assessed study quality. RESULTS: Thirty-eight studies were eligible, comprising 17 cross-sectional studies (n = 11,835 providers) and 22 chart reviews (n = 22,512 patients). Survey data indicated that adherence was 49% (95% CI [40, 59]) for treatment agreements, 33% (95% CI [19%, 47%]) for urine drug testing, 48% (95% CI [26%, 71%]) for consultation with drug monitoring program, 57% (95% CI [35%, 79%]) for assessing risk of aberrant medication-taking behavior, and 61% (95% CI [35%, 87%]) for mental health screening. Chart review data indicated that the proportion of patients with documentation was 40% (95% CI [29, 51]) for treatment agreements, 41% (95% CI [32%, 50%]) for urine drug testing, 40% (95% CI [2%, 78%]) for consultation with drug monitoring program, 41% (95% CI [20%, 64%]) for assessing risk of aberrant medication-taking behavior, and 22% (95% CI [9%, 33%]) for mental health screening. Year of publication, practice guideline referenced, and risk of bias explained significant heterogeneity. No study evaluated whether nonadherence to recommendations reflected well-justified deviations to care. CONCLUSIONS: Adherence to guideline recommendations for opioids for CNCP is low. It is unclear whether nonadherence reflects thoughtful deviations in care. (PsycInfo Database Record (c) 2020 APA, all rights reserved).


Subject(s)
Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Practice Patterns, Physicians'/standards , Analgesics, Opioid/pharmacology , Cross-Sectional Studies , Humans
3.
Biomed Res Int ; 2015: 246870, 2015.
Article in English | MEDLINE | ID: mdl-25688354

ABSTRACT

Human Immunodeficiency Virus- (HIV-) infected persons have a higher risk for acute myocardial infarction (AMI) than HIV-uninfected persons. Earlier studies suggest that HIV viral load, CD4+ T-cell count, and antiretroviral therapy are associated with cardiovascular disease (CVD) risk. Whether CD8+ T-cell count is associated with CVD risk is not clear. We investigated the association between CD8+ T-cell count and incident AMI in a cohort of 73,398 people (of which 97.3% were men) enrolled in the U.S. Veterans Aging Cohort Study-Virtual Cohort (VACS-VC). Compared to uninfected people, HIV-infected people with high baseline CD8+ T-cell counts (>1065 cells/mm3) had increased AMI risk (adjusted HR=1.82, P<0.001, 95% CI: 1.46 to 2.28). There was evidence that the effect of CD8+ T-cell tertiles on AMI risk differed by CD4+ T-cell level: compared to uninfected people, HIV-infected people with CD4+ T-cell counts≥200 cells/mm3 had increased AMI risk with high CD8+ T-cell count, while those with CD4+ T-cell counts<200 cells/mm3 had increased AMI risk with low CD8+ T-cell count. CD8+ T-cell counts may add additional AMI risk stratification information beyond that provided by CD4+ T-cell counts alone.


Subject(s)
CD8-Positive T-Lymphocytes/immunology , HIV Infections/complications , HIV Infections/immunology , Myocardial Infarction/complications , Myocardial Infarction/immunology , Adult , CD4-Positive T-Lymphocytes/cytology , CD4-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/cytology , Cohort Studies , Female , HIV Infections/epidemiology , Humans , Kaplan-Meier Estimate , Lymphocyte Count , Male , Middle Aged , Myocardial Infarction/epidemiology , Veterans/statistics & numerical data
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