Incidence and Variables Associated With Inconsistencies in Opioid Prescribing at Hospital Discharge and Its Associated Adverse Drug Outcomes

Effect of Alternatives to Opiates Program on Discharge Opioid Prescribing in Trauma Patients

Background: Opioid overdose deaths have increased over the last two decades, despite efforts to reduce prescribing. This study aimed to determine if a hospital-wide Alternatives to Opiates (ALTOSM) program reduced opioid prescribing in hospital and upon discharge after trauma. Objectives: The primary outcome was incidence of opioid prescribing at hospital discharge Pre- and Post-ALTO. Secondary outcomes were the percent of patients with in-hospital opioid, non-opioid and multimodal analgesia, and hospital and intensive care unit (ICU) length of stay (LOS). Methods: This is a single-center, retrospective analysis of patients >/ = 18 years old admitted for >24 hours with the primary diagnosis of traumatic injury between August 2018 - October 2019. Patients with alcohol or polysubstance abuse, chronic opioid use, or in-hospital mortality were excluded. Results: A total of 703 patients were included, 471 in Pre-ALTO and 232 in Post-ALTO groups. The mean age was 59 ± 22 years and most were male (58.7%). Mean initial Injury Severity Score (ISS) was 9.1 ± 7.7. Opioid prescribing at hospital discharge occurred more in the Post-ALTO group (132/332, 39.4% vs 90/203, 43.8%; P = .1237). Most patients were prescribed in-hospital opioid (332/471, 70.4% vs 203/232, 87.5%, P < .0001) and non-opioid (441/471, 93.6% vs 229/232, 98.7%; P = .0027) analgesics, or multimodal analgesia (397/471, 84.3% vs 203/232, 87.5%; P = .2591). Median hospital and ICU LOS were also similar between groups [5 (3-9) vs 4(3-7), P = .3427] and ICU [2(0-4) vs 3(2-5), P = .3461]. Conclusion: Opioids remain mainstay for trauma-related pain treatment. ALTOSM was not associated with less in-hospital or discharge opioid prescribing.

Experiences and Outcomes of Using e-Prescribing for Opioids: Rapid Scoping Review

BACKGROUND

e-Prescribing is designed to assist in facilitating safe and appropriate prescriptions for patients. Currently, it is unknown to what extent e-prescribing for opioids influences experiences and outcomes. To address this gap, a rapid scoping review was conducted.

OBJECTIVE

This rapid scoping review aims to (1) explore how e-prescribing has been used clinically; (2) examine the effects of e-prescribing on clinical outcomes, the patient or clinician experience, service delivery, and policy; and (3) identify current gaps in the present literature to inform future studies and recommendations.

METHODS

A rapid scoping review was conducted following the guidance of the JBI 2020 scoping review methodology and the World Health Organization guide to rapid reviews. A comprehensive literature search was completed by an expert librarian from inception until November 16, 2022. Three databases were electronically searched: MEDLINE (Ovid), Embase (Ovid), and Scopus (Elsevier). The search criteria were as follows: (1) e-prescribing programs targeted to the use or misuse of opioids, including those that were complemented or accompanied by clinically focused initiatives, and (2) a primary research study of experimental, quasi-experimental, observational, qualitative, or mixed methods design. An additional criterion of an ambulatory component of e-prescribing (eg, e-prescribing occurred upon discharge from acute care) was added at the full-text stage. No language limitations or filters were applied. All articles were double screened by trained reviewers. Gray literature was manually searched by a single reviewer. Data were synthesized using a descriptive approach.

RESULTS

Upon completing screening, 34 articles met the inclusion criteria: 32 (94%) peer-reviewed studies and 2 (6%) gray literature documents (1 thesis study and 1 report). All 33 studies had a quantitative component, with most highlighting e-prescribing from acute care settings to community settings (n=12, 36%). Only 1 (3%) of the 34 articles provided evidence on e-prescribing in a primary care setting. Minimal prescriber, pharmacist, and clinical population characteristics were reported. The main outcomes identified were related to opioid prescribing rates, alerts (eg, adverse drug events and drug-drug interactions), the quantity and duration of opioid prescriptions, the adoption of e-prescribing technology, attitudes toward e-prescribing, and potential challenges with the implementation of e-prescribing into clinical practice. e-Prescribing, including key features such as alerts and dose order sets, may reduce prescribing errors.

CONCLUSIONS

This rapid scoping review highlights initial promising results with e-prescribing and opioid therapy management. It is important that future work explores the experience of prescribers, pharmacists, and patients using e-prescribing for opioid therapy management with an emphasis on prescribers in the community and primary care. Developing a common set of quality indicators for e-prescribing of opioids will help build a stronger evidence base. Understanding implementation considerations will be of importance as the technology is integrated into clinical practice and health systems.