Literature DB >> 31323392

Wearable Technology-A Pilot Study to Define "Normal" Postoperative Recovery Trajectories.

Heather Carmichael1, Douglas M Overbey2, Patrick Hosokawa3, Christina M Goode4, Teresa S Jones4, Carlton C Barnett4, Edward L Jones4, Thomas N Robinson4.   

Abstract

BACKGROUND: Emerging wearable technology has the potential to quantify both preoperative and postoperative patient activity. The purpose of this study was to characterize postoperative recovery trajectories for 1 mo after common surgical procedures.
MATERIALS AND METHODS: Patients included were scheduled for common elective operations. A wearable activity device was worn for at least 3 d preoperatively and 28 d postoperatively. Postoperative steps per day were compared with preoperative baseline steps, with recovery trajectories reported as a percentage of patients' baseline values. Recovery trajectories were compared between groups based on admission type and operation type.
RESULTS: Two hundred ten patients were enrolled, and 143 patients (68%) completed follow-up. Patients took a median 5342 steps per day preoperatively and had significantly decreased steps on the first postoperative day, including those undergoing inguinal hernia repair (22% of baseline steps, P < 0.001). Four weeks postoperatively, steps per day had not returned to baseline in patients undergoing minimally invasive abdominal (88% of baseline, P = 0.035), open abdominal (64% of baseline, P = 0.002), and thoracic (32% of baseline, P = 0.002) operations. All groups of patients showed a rapid recovery of steps during the first postoperative week, followed by a slower return to baseline. Recovery trajectories differed based on both admission type and operation type.
CONCLUSIONS: Wearable activity monitors provide useful technology for quantification of postoperative activity recovery trajectories of steps per day in comparison to preoperative activity levels, with internal validity differentiating recovery trajectories grouping by broad categorization of operation type and by admission type. Activity recovery is a patient-centered outcome that can be used for counseling as well as for intervening to improve activity levels after surgery.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Activity monitor; Postoperative mobility; Recovery; Steps; Walking

Mesh:

Year:  2019        PMID: 31323392     DOI: 10.1016/j.jss.2019.06.057

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  7 in total

1.  Early identification of patients at risk for delayed recovery of ambulation after elective abdominal surgery.

Authors:  Alexandra Kovar; Heather Carmichael; Teresa S Jones; Patrick Hosokawa; Christina M Goode; Douglas M Overbey; Edward L Jones; Thomas N Robinson
Journal:  Surg Endosc       Date:  2021-11-09       Impact factor: 3.453

Review 2.  Wearable devices for patient monitoring in the early postoperative period: a literature review.

Authors:  Tajrian Amin; Ralph J Mobbs; Niyaz Mostafa; Luke W Sy; Wen Jie Choy
Journal:  Mhealth       Date:  2021-07-20

3.  Continuous Digital Assessment for Weight Loss Surgery Patients.

Authors:  Ernesto Ramirez; Nikki Marinsek; Benjamin Bradshaw; Robert Kanard; Luca Foschini
Journal:  Digit Biomark       Date:  2020-03-26

Review 4.  Wearable devices to monitor recovery after abdominal surgery: scoping review.

Authors:  Cameron I Wells; William Xu; James A Penfold; Celia Keane; Armen A Gharibans; Ian P Bissett; Greg O'Grady
Journal:  BJS Open       Date:  2022-03-08

5.  Smartphone-Based Gait Cadence to Identify Older Adults with Decreased Functional Capacity.

Authors:  Daniel S Rubin; Sylvia L Ranjeva; Jacek K Urbanek; Marta Karas; Maria Lucia L Madariaga; Megan Huisingh-Scheetz
Journal:  Digit Biomark       Date:  2022-07-14

Review 6.  Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

Authors:  Laleh G Melstrom; Andrei S Rodin; Lorenzo A Rossi; Paul Fu; Yuman Fong; Virginia Sun
Journal:  J Surg Oncol       Date:  2020-09-24       Impact factor: 3.454

7.  Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach.

Authors:  André Henriksen; Anne-Sofie Sand; Trygve Deraas; Sameline Grimsgaard; Gunnar Hartvigsen; Laila Hopstock
Journal:  BMC Public Health       Date:  2020-08-27       Impact factor: 3.295

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.