Literature DB >> 35813536

Use of Wearable Technology to Measure Activity in Orthopaedic Trauma Patients: A Systematic Review.

Meir T Marmor1, Bernd Grimm2, Andrew M Hanflik3, Peter H Richter4, Sureshan Sivananthan5, Seth Robert Yarboro6, Benedikt J Braun7.   

Abstract

Background: Patient-Reported Outcome Measures (PROMs) are widely used for measurement of functional outcomes after orthopaedic trauma. However, PROMs rely on patient collaboration and suffer from various types of bias. Wearable Activity Monitors (WAMs) are increasingly used to objectify functional assessment. The objectives of this systematic review were to identify and characterise the WAMs technology and metrics currently used for orthopaedic trauma research.
Methods: PubMed and Embase biomedical literature search engines were queried. Eligibility criteria included: Human clinical studies published in the English language between 2010 and 2019 involving fracture management and WAMs. Variables collected from each article included: Technology used, vendor/product, WAM body location, metrics measured, measurement time period, year of publication, study geographic location, phase of treatment studied, fractures studied, number of patients studied, sex and age of the study subjects, and study level of evidence. Six investigators reviewed the resulting papers. Descriptive statistics of variables of interest were used to analyse the data.
Results: One hundred and thirty-six papers were available for analysis, showing an increasing trend of publications per year. Accelerometry followed by plantar pressure insoles were the most commonly employed technologies. The most common location for WAM placement was insoles, followed by the waist. The most commonly studied fracture type was hip fractures followed by fragility fractures in general, ankle, "lower extremity", and tibial fractures. The rehabilitation phase following surgery was the most commonly studied period. Sleep duration, activity time or step counts were the most commonly reported WAM metrics. A preferred, clinically validated WAM metric was not identified. Conclusions: WAMs have an increasing presence in the orthopaedic trauma literature. The optimal implementation of this technology and its use to understand patients' pre-injury and post-injury functions is currently insufficiently explored and represents an area that will benefit from future study. Systematic review registration number: PROSPERO ID:210344. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-022-00629-0. © Indian Orthopaedics Association 2022.

Entities:  

Keywords:  Activity measurements; Orthopaedic trauma; Outcome measurements; Sensors; Wearable devices

Year:  2022        PMID: 35813536      PMCID: PMC9232686          DOI: 10.1007/s43465-022-00629-0

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.033


  37 in total

1.  Combined Measures of Dynamic Bone Quality and Postural Balance--A Fracture Risk Assessment Approach in Osteoporosis.

Authors:  Amit Bhattacharya; Nelson B Watts; Alok Dwivedi; Rakesh Shukla; Ashutosh Mani; Dima Diab
Journal:  J Clin Densitom       Date:  2015-04-30       Impact factor: 2.617

2.  Kinematics and shock attenuation during a prolonged run on the athletic track as measured with inertial magnetic measurement units.

Authors:  Jasper Reenalda; Erik Maartens; Jaap H Buurke; Allison H Gruber
Journal:  Gait Posture       Date:  2018-11-19       Impact factor: 2.840

3.  Camera-tracking gaming control device for evaluation of active wrist flexion and extension.

Authors:  Dalit Shefer Eini; Navah Z Ratzon; Albert A Rizzo; Shih-Ching Yeh; Belinda Lange; Batia Yaffe; Alexander Daich; Patrice L Weiss; Rachel Kizony
Journal:  J Hand Ther       Date:  2016-11-26       Impact factor: 1.950

4.  Reliability of Smartphone-Based Instant Messaging Application for Diagnosis, Classification, and Decision-making in Pediatric Orthopedic Trauma.

Authors:  Ido Stahl; Alexander Katsman; Michael Zaidman; Doron Keshet; Amit Sigal; Mark Eidelman
Journal:  Pediatr Emerg Care       Date:  2019-06       Impact factor: 1.454

5.  The validity and reliability of DrGoniometer, a smartphone application, for measuring forearm supination.

Authors:  Susan Reid; Brigitte Egan
Journal:  J Hand Ther       Date:  2018-07-17       Impact factor: 1.950

6.  Inability of Older Adult Patients with Hip Fracture to Maintain Postoperative Weight-Bearing Restrictions.

Authors:  Christian Kammerlander; Daniel Pfeufer; Leonard Adolf Lisitano; Stefan Mehaffey; Wolfgang Böcker; Carl Neuerburg
Journal:  J Bone Joint Surg Am       Date:  2018-06-06       Impact factor: 5.284

7.  Validation of PROMIS Physical Function Instruments in Patients With an Orthopaedic Trauma to a Lower Extremity.

Authors:  Nan E Rothrock; Aaron J Kaat; Mark S Vrahas; Robert V OʼToole; Sarah K Buono; Suzanne Morrison; Richard C Gershon
Journal:  J Orthop Trauma       Date:  2019-08       Impact factor: 2.512

8.  [Vacuum shoe system vs.forefoot offloading shoe for the management of metatarsal fractures. A prospective, randomized trial].

Authors:  T M Kraus; F Graf; J Mitternacht; S Döbele; U Stöckle; S Siebenlist
Journal:  MMW Fortschr Med       Date:  2014-04-17

9.  Evaluating physical function and activity in the elderly patient using wearable motion sensors.

Authors:  Bernd Grimm; Stijn Bolink
Journal:  EFORT Open Rev       Date:  2017-03-13

10.  Effect of pedometer-based walking interventions on long-term health outcomes: Prospective 4-year follow-up of two randomised controlled trials using routine primary care data.

Authors:  Tess Harris; Elizabeth S Limb; Fay Hosking; Iain Carey; Steve DeWilde; Cheryl Furness; Charlotte Wahlich; Shaleen Ahmad; Sally Kerry; Peter Whincup; Christina Victor; Michael Ussher; Steve Iliffe; Ulf Ekelund; Julia Fox-Rushby; Judith Ibison; Derek G Cook
Journal:  PLoS Med       Date:  2019-06-25       Impact factor: 11.069

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.