TY - JOUR
T1 - Assessment of postoperative opioid stewardship using a novel electronic-based automated text and phone messaging platform
AU - Kushner, Bradley S.
AU - Tan, Wen Hui
AU - Sehnert, Margaret
AU - Jordan, Katherine
AU - Aft, Rebecca
AU - Silviera, Matthew
AU - Brunt, L. Michael
N1 - Funding Information:
This work was supported by a grant from the Barnes-Jewish Hospital Foundation .
Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2021/3
Y1 - 2021/3
N2 - Background: Practices of opioid prescribing vary widely across general surgery providers. The goal of this study was to use a text-based platform to assess postdischarge opioid utilization. Methods: A prospective, cohort study enrolled adult patients undergoing operations across the following 3 general surgery sections: minimally invasive surgery, colorectal, and surgical oncology. Using Epharmix, an electronic text-based platform, short message service text messages were sent to enrolled patients on postdischarge days 1 to 7, 14, 2, and 28 inquiring about the number of opioid pills taken since discharge and pain medication refills. Results: A total of 253 patients enrolled and completed the intervention. Patient participation was robust, with 80% of patients responded to >50% of all text-based questions, and 64% responded to >80% of all questions. Patients undergoing bariatric surgery were prescribed the most narcotic pain medications (average milligram of morphine equivalents: 250.8), and those undergoing endocrine neck surgery the least (average milligram of morphine equivalent: 53.5). All surgical categories studied consumed ≤25% of their total prescribed milligram of morphine equivalents. Only 8 patients (3.2%) requested an opioid refill by postdischarge days 28. Conclusion: A text-based platform can track reliably patients' opioid usage postdischarge. Such platforms may facilitate the development of data-driven, standardized practices of opioid prescribing matched to patients’ anticipated opioid usage postdischarge.
AB - Background: Practices of opioid prescribing vary widely across general surgery providers. The goal of this study was to use a text-based platform to assess postdischarge opioid utilization. Methods: A prospective, cohort study enrolled adult patients undergoing operations across the following 3 general surgery sections: minimally invasive surgery, colorectal, and surgical oncology. Using Epharmix, an electronic text-based platform, short message service text messages were sent to enrolled patients on postdischarge days 1 to 7, 14, 2, and 28 inquiring about the number of opioid pills taken since discharge and pain medication refills. Results: A total of 253 patients enrolled and completed the intervention. Patient participation was robust, with 80% of patients responded to >50% of all text-based questions, and 64% responded to >80% of all questions. Patients undergoing bariatric surgery were prescribed the most narcotic pain medications (average milligram of morphine equivalents: 250.8), and those undergoing endocrine neck surgery the least (average milligram of morphine equivalent: 53.5). All surgical categories studied consumed ≤25% of their total prescribed milligram of morphine equivalents. Only 8 patients (3.2%) requested an opioid refill by postdischarge days 28. Conclusion: A text-based platform can track reliably patients' opioid usage postdischarge. Such platforms may facilitate the development of data-driven, standardized practices of opioid prescribing matched to patients’ anticipated opioid usage postdischarge.
UR - http://www.scopus.com/inward/record.url?scp=85090707424&partnerID=8YFLogxK
U2 - 10.1016/j.surg.2020.07.047
DO - 10.1016/j.surg.2020.07.047
M3 - Article
C2 - 32928572
AN - SCOPUS:85090707424
SN - 0039-6060
VL - 169
SP - 660
EP - 665
JO - Surgery (United States)
JF - Surgery (United States)
IS - 3
ER -