Literature DB >> 33437988

Using Smartphone-Based Accelerometer Data to Objectively Assess Outcomes in Spine Surgery.

Gregory W Basil1, Annelise C Sprau1, Karen Eliahu1, Peter A Borowsky1, Michael Y Wang1, Jang W Yoon2.   

Abstract

BACKGROUND: In order to deliver optimal patient care, spine surgeons must integrate technological changes to arrive at novel measures of functional outcomes. Historically, subjective patient-reported outcome (PRO) surveys have been used to determine the relative benefit of surgical treatments. Using smartphone-based accelerometers, surgeons now have the ability to arrive at objective outcome metrics.
OBJECTIVE: To use Apple Health (Apple Inc, Cupertino, California) data to approximate physical activity levels before and after spinal fusion as an objective outcome measurement.
METHODS: Personal activity data were acquired retrospectively from the cellphones of consenting patients. These data were used to measure changes in activity level (daily steps, flights climbed, and distance traveled) before and after patients underwent spine surgery at a single institution by a single surgeon. After data collection, we investigated the demographic information and daily physical activity pre- and postoperatively of participating patients.
RESULTS: Twenty-three patients were included in the study. On average, patients first exceeded their daily 1-yr average distance walked, flights climbed, and steps taken at 10.3 ± 14, 7.6 ± 21.1, and 8 ± 9.9 wk, respectively. Mean flights climbed, distance traveled, and steps taken decreased significantly from 6 mo prior to surgery to 2 wk postoperatively. Distance traveled and steps taken significantly increased from 6 mo prior to surgery to 7 to 12 mo postoperatively.
CONCLUSION: We demonstrated a valuable supplement to traditional PROs by using smartphone-based activity data. This methodology yields a rich data set that has the potential to augment our understanding of patient recovery. © Congress of Neurological Surgeons 2021.

Entities:  

Keywords:  Mobile application; Outcome measurements; Spinal fusion

Mesh:

Year:  2021        PMID: 33437988     DOI: 10.1093/neuros/nyaa505

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  5 in total

1.  Towards personalized and value-based spine care: objective patient monitoring with smartphone activity data.

Authors:  Hasan S Ahmad; Andrew I Yang; Gregory W Basil; William C Welch; Michael Y Wang; Jang W Yoon
Journal:  J Spine Surg       Date:  2022-03

2.  Accelerometry Data Delineate Phases of Recovery and Supplement Patient-Reported Outcome Measures Following Lumbar Laminectomy.

Authors:  Dennis M Bienstock; Dhruv Shankar; Jinseong Kim; Michael Gao; Komal Srivastava; Wesley H Bronson; Saad B Chaudhary; Jashvant Poeran; James C Iatridis; Andrew C Hecht
Journal:  World Neurosurg       Date:  2022-01-29       Impact factor: 2.210

3.  Using smartphone-based accelerometers to gauge postoperative outcomes in patients with NPH: Implications for ambulatory monitoring.

Authors:  Annelise Claire Sprau; Gregory W Basil; Karen Eliahu; Frederic A Vallejo; Evan M Luther; Jang W Yoon; Michael Y Wang; Ricardo J Komotar
Journal:  Surg Neurol Int       Date:  2021-09-13

4.  Smartphone-based real-life activity data for physical performance outcome in comparison to conventional subjective and objective outcome measures after degenerative lumbar spine surgery.

Authors:  Stefanos Voglis; Michal Ziga; Anna M Zeitlberger; Marketa Sosnova; Oliver Bozinov; Luca Regli; David Bellut; Astrid Weyerbrock; Martin N Stienen; Nicolai Maldaner
Journal:  Brain Spine       Date:  2022-03-18

5.  Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021.

Authors:  Jacob K Greenberg; Ayodamola Otun; Zoher Ghogawala; Po-Yin Yen; Camilo A Molina; David D Limbrick; Randi E Foraker; Michael P Kelly; Wilson Z Ray
Journal:  Global Spine J       Date:  2021-05-11
  5 in total

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