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A Novel Mobile Phone Text Messaging Platform Improves Collection of Patient-Reported Post-operative Pain and Opioid Use Following Orthopedic Surgery

Authors
  • Premkumar, Ajay1
  • Lovecchio, Francis C.1
  • Stepan, Jeffrey G.1
  • Kahlenberg, Cynthia A.1
  • Blevins, Jason L.1
  • Albert, Todd J.1
  • Cross, Michael B.1
  • 1 Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA , New York (United States)
Type
Published Article
Journal
HSS Journal ®
Publisher
Springer US
Publication Date
Oct 22, 2018
Volume
15
Issue
1
Pages
37–41
Identifiers
DOI: 10.1007/s11420-018-9635-3
Source
Springer Nature
Keywords
License
Yellow

Abstract

BackgroundProspective collection of patient-reported opioid consumption and pain levels post-surgically may hold value in highlighting solutions related to the opioid crisis. Traditional methods for collecting patient-reported outcomes after surgery, such as paper surveys, often have poor response rates, and electronic messaging may offer more convenience and therefore yield more robust data.Questions/PurposesThe purpose of this study was to evaluate whether a novel mobile phone short message service (SMS) platform would lead to better patient response rates to surveys on pain and opioid use than data-collection tools.MethodsAn SMS text messaging platform was created and implemented between September 2017 and May 2018 at an orthopedic specialty hospital. The purpose was to collect reports on opioid consumption and pain levels twice a day for 6 weeks post-surgery from patients who had undergone total hip or knee arthroplasty or a single-level lumbar microdiscectomy or decompression spine surgery. Patients who responded to fewer than 50% of the text messages were excluded.ResultsOur mobile phone text messaging platform was used by 183 patients, demonstrating a significantly higher response rate (96.1%) than our institution’s post-operative email registry capture, as well as the majority of published response rates for post-operative outcomes captured through electronic and traditional data-collection systems. Response rate remained consistently high among the various surgeons and across patients, regardless of age.ConclusionsThis application of a widely available technology can improve the measurement of post-operative patient-reported outcomes. Such data can in turn be used in the development of strategies to reduce post-operative opioid use. The adoption of novel technologies at a patient level will play a key role in combating the opioid epidemic.

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