Engagement in HIV care and viral suppression following changes in long-term opioid therapy for treatment for chronic pain.

Chronic pain is common among persons living with HIV and changes in opioid prescribing practices may complicate HIV care management. Using medical record data from a retrospective cohort study conducted January 1, 2012 to June 30, 2019 for 300 publicly insured HIV-positive primary care patients prescribed opioids for chronic non-cancer pain in San Francisco, we examined associations between opioid dose changes and both time to disengagement from HIV care and experiencing virologic failure using logistic regression. Discontinuation of prescribed opioids was associated with increased odds of disengagement in care at 3, 6, and 9 months after discontinuation. There were no associations with virologic failure. Providers and policy makers must weigh impacts on HIV care when implementing necessary changes in opioid prescribing.

Race, pain, and opioids among patients with chronic pain in a safety-net health system.

BACKGROUND: Recent changes in opioid prescribing practices in the US may exacerbate disparities in opioid access among Black compared to White patients. METHODS: To evaluate racial disparities in opioid prescribing and stewardship, we used baseline data collected from 2017 to 2019 for a longitudinal cohort of patients with chronic non-cancer pain and a history of illicit substance use. Sociodemographic characteristics, pain, psychological distress, substance use, and opioid prescription practices were compared between Black and White participants. We conducted multivariable logistic regression with race as the outcome. We also compared yellow flag events (opioid-related emergency department visits, illicit substances on urine drug screens, provider-documentation of concerning behaviors) by race. RESULTS: Over half of participants analyzed were Black (57%) and the remainder White (43%). Participants with worse average pain in the past three months (adjusted odds ratio [AOR]:1.29, 95%CI:1.08-1.55, p = 0.006) had higher odds of being Black. Past-year injection drug use (AOR:0.39, 95%CI:0.16-0.94, p = 0.04) and a higher past-year maximum opioid dose (AOR per 10 morphine milligram equivalents (MME):0.99, 95%CI:0.98-1.00, p = 0.006) were associated with lower odds of being Black. We found no differences by race in the use of opioid stewardship measures or discontinuation of opioids based on yellow flag events. CONCLUSION: Lower past-year maximum MME dose, despite higher average pain and less injection drug use, may represent bias away from prescribing opioids for chronic pain among Black patients. This could be due to unmeasured implicit provider bias or patient-level factors (e.g., utilizing non-opioid pain coping strategies or being less likely to request additional opioids).

Inpatient electronic health record maintenance from 2010 to 2015.

OBJECTIVES: To describe the scale and scope of inpatient electronic health record (EHR) maintenance following initial implementation. STUDY DESIGN: A retrospective study reviewing EHR change documentation within an integrated healthcare delivery system that has 21 hospitals. METHODS: Between 2010 and 2015, we identified and categorized all significant changes made to the inpatient EHR, as documented within monthly EHR communication updates. We categorized EHR changes as updates to existing functionality or upgrades to new functionality. We grouped changes within larger functional domains as orders, alerts and customization, surgical and emergency department (ED), data review, reports and health information management, and other. We also identified the clinical areas and user roles targeted by these changes. RESULTS: Over a 6-year period, 5551 unique changes were made to the inpatient EHR, with a median of 72 changes per month. Changes most frequently targeted orders (44.7% of 2190 change documents) and order sets (29.9% of documents). In total, changes affected 135 EHR functions. A total of 151 unique user roles were affected by these changes, with the most frequent roles including nurses (30.6%), physicians (26.6%), and other clinical staff (22.7%). The clinical areas most targeted by changes included surgical areas and the ED. CONCLUSIONS: Over 6 years, EHR maintenance for clinical functionality was substantial and varied with pervasive impacts, requiring persistent attention, diverse expertise, and interdisciplinary collaboration.