Opioid Overdose Risk Following Hospital Discharge Among Individuals Prescribed Long-Term Opioid Therapy: a Risk Interval Analysis.

BACKGROUND: Individuals prescribed long-term opioid therapy (LTOT) have increased risk of readmission and death after hospital discharge. The risk of opioid overdose during the immediate post-discharge time period is unknown. OBJECTIVE: To examine the association between time since hospital discharge and opioid overdose among individuals prescribed LTOT. DESIGN: Self-controlled risk interval analysis. PARTICIPANTS: Adults prescribed LTOT with at least one hospital discharge at a safety-net health system and a non-profit healthcare organization in Colorado. MAIN MEASURES: We identified individuals prescribed LTOT who were discharged from January 2006 through June 2019. The outcome was a composite of fatal and non-fatal opioid overdoses during a 90-day post-discharge observation period, identified using electronic health record (EHR) and vital statistics data. Risk intervals included days 0-6 after index and subsequent hospital discharges. Control intervals ranged from days 7 to 89 after index discharge and included all other time during the observation period that did not fall within a risk interval or time readmitted during a subsequent hospitalization, which was excluded. Poisson regression was used to estimate incidence rate ratios (IRR) and 95% confidence intervals (CI) for overdose events during risk in comparison to control intervals. KEY RESULTS: We identified 7695 adults (63.3% over 55 years, 59.4% female, 20.3% Hispanic) who experienced 9499 total discharges during the study period. Twenty-one overdoses occurred during their observation periods (1174 per 100,000 person-years [9 in risk, 12 in control]). Overdose risk was significantly higher during the risk interval in comparison to the control interval (IRR 6.92; 95% CI 2.92-16.43). CONCLUSION: During the first 7 days after hospital discharge, individuals prescribed LTOT appear to be at elevated risk for opioid overdose. Clarifying mechanisms of overdose risk may help inform in-hospital and post-discharge prevention strategies.

Implementing health information technology in a patient-centered manner: patient experiences with an online evidence-based lifestyle intervention.

The patient-centered care (PCC) model and the use of health information technology (HIT) are major initiatives for improving U.S. healthcare quality and delivery. A lack of published data on patient perceptions of Internet-based care makes patient-centered implementation of HIT challenging. To help ascertain patients' perceptions of an online intervention, patients completing a 1-year web-based lifestyle intervention were asked to complete a semistructured interview. We used qualitative methodology to determine frequency and types of interview responses. Overall satisfaction with program features was coded on a Likert-type scale. High levels of satisfaction were seen with the online lifestyle coaching (80%), self-monitoring tools (57%), and structured lesson features (54%). Moderated chat sessions and online resources were rarely used. Frequently identified helpful aspects were those that allowed for customized care and shared decision-making consistent with the tenets of PCC. Unhelpful program aspects were reported less often. Findings suggest that despite challenges for communicating effectively in an online forum, the personalized support, high-tech data management capabilities, and easily followed evidence-based curricula afforded by HIT may be a means of providing PCC and improving healthcare delivery and quality.