@Article{info:doi/10.2196/49173, author="Guilcher, Sara J T and Cimino, Stephanie R and Tadrous, Mina and McCarthy, Lisa M and Riad, Jessica and Tricco, Andrea C and Hagens, Simon and Lien, Jennifer and Tharmalingam, Sukirtha and Gomes, Tara", title="Experiences and Outcomes of Using e-Prescribing for Opioids: Rapid Scoping Review", journal="J Med Internet Res", year="2023", month="Dec", day="28", volume="25", pages="e49173", keywords="e-prescribing; opioid prescription; opioid use; rapid scoping review", abstract="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. ", issn="1438-8871", doi="10.2196/49173", url="https://www.jmir.org/2023/1/e49173", url="https://doi.org/10.2196/49173", url="http://www.ncbi.nlm.nih.gov/pubmed/38153776" }