Detailing postoperative pain and opioid utilization after periacetabular osteotomy with automated mobile messaging

Author:

Hajewski Christina1,Anthony Chris A1,Rojas Edward O1ORCID,Westermann Robert1,Willey Michael1

Affiliation:

1. Department of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, 01008 JPP, Iowa City, IA 52242, USA

Abstract

Abstract In the setting of periacetabular osteotomy (PAO), this investigation sought to (i) describe patient-reported pain scores and opioid utilization in the first 6 weeks following surgery and (ii) evaluate the effectiveness of postoperative communication using a robotic mobile messaging platform. Subjects indicated for PAO were enrolled from a young adult hip clinic. For the first 2 weeks after surgery, subjects received daily mobile messages inquiring about pain level on a 0–10 scale and the number of opioid pain medication tablets they consumed in the previous 24 h. Messaging frequency decreased to 3 per week in Weeks 3–6. Pain scores, opioid utilization and response rates with our mobile messaging platform were quantified for the 6-week postoperative period. Twenty-nine subjects underwent PAO. Twenty-one had concurrent hip arthroscopy. Average daily pain scores decreased over the first four postoperative days. Average pain scores reported were 5.9 ± 1.9, 4.1 ± 3.3 and 3.0 ± 3.5 on Day 1, Day 14 and Week 6, respectively. Reported opioid tablet utilization was 5.0 ± 3.2, 2.2 ± 2.0 and 0.0 ± 0.0 on Days 1 and 14 and at 6 weeks. Response rate for participants completing the 6-week messaging protocol was 84.1%. Patient-reported pain scores decreased over the first two postoperative weeks following PAO before plateauing in weeks 3–6. Opioid pain medication utilization increased in the first postoperative week before gradually declining to no tabs consumed at 6 weeks after PAO. Automated mobile messaging is an effective method of perioperative communication for the collection of pain scores and opioid utilization in patients undergoing PAO.

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3