Smartphone App with an Accelerometer Enhances Patients' Physical Activity Following Elective Orthopedic Surgery: A Pilot Study

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2020 Aug 5

PMID 32748876

Citations 22

Authors

Hanneke C van Dijk-Huisman

Anouk T R Weemaes

Tim A E J Boymans

Antoine F Lenssen

Rob A de Bie

Affiliations

Soon will be listed here.

Abstract

Low physical activity (PA) levels are common in hospitalized patients. Digital health tools could be valuable in preventing the negative effects of inactivity. We therefore developed Hospital Fit; which is a smartphone application with an accelerometer, designed for hospitalized patients. It enables objective activity monitoring and provides patients with insights into their recovery progress and offers a tailored exercise program. The aim of this study was to investigate the potential of Hospital Fit to enhance PA levels and functional recovery following orthopedic surgery. PA was measured with an accelerometer postoperatively until discharge. The control group received standard physiotherapy, while the intervention group used Hospital Fit in addition to physiotherapy. The time spent active and functional recovery (modified Iowa Level of Assistance Scale) on postoperative day one (POD1) were measured. Ninety-seven patients undergoing total knee or hip arthroplasty were recruited. Hospital Fit use, corrected for age, resulted in patients standing and walking on POD1 for an average increase of 28.43 min (95% confidence interval (CI): 5.55-51.32). The odds of achieving functional recovery on POD1, corrected for the American Society of Anesthesiologists classification, were 3.08 times higher (95% CI: 1.14-8.31) with Hospital Fit use. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients' PA levels and functional recovery during hospitalization.

Citing Articles

Effectiveness of Hospital Fit on Physical Activity in Hospitalized Patients: A Stepped-Wedge Cluster-Randomized Trial and Process Evaluation.

van Dijk-Huisman H, Koenders N, Marcellis R, Smits I, Hoogeboom T, Lenssen T Sensors (Basel). 2024; 24(18).

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Multicentre investigation on the effect of decompressive surgery on Balance and physical ActiviTy Levels amongst patients with lumbar Spinal stenosis (B-ATLAS): protocol for a prospective cohort study.

Zielinski O, Hallager D, Jensen K, Carreon L, Andersen M, Diederichsen L BMJ Open. 2024; 14(9):e085667.

PMID: 39313282 PMC: 11418479. DOI: 10.1136/bmjopen-2024-085667.

Monitoring postures and motions of hospitalized patients using sensor technology: a scoping review.

Becker M, Hurkmans H, Verhaar J, Bussmann J Ann Med. 2024; 56(1):2399963.

PMID: 39239877 PMC: 11382703. DOI: 10.1080/07853890.2024.2399963.

Efficacy of Real-Time Feedback Exercise Therapy in Patients Following Total Hip Arthroplasty: Protocol for a Pilot Cluster-Randomized Controlled Trial.

Widhalm K, Maul L, Durstberger S, Putz P, Leder-Berg S, Kainz H JMIR Res Protoc. 2024; 13:e59755.

PMID: 39163589 PMC: 11372329. DOI: 10.2196/59755.

Clinical application research of intelligent monitoring system for knee rehabilitation: a randomized controlled trial.

Xie W, He M, Zheng S, Li H, Jin H, Ji B J Orthop Surg Res. 2024; 19(1):477.

PMID: 39138567 PMC: 11321123. DOI: 10.1186/s13018-024-04982-8.

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