Evidence map›Paper›PMID 42564171›Full record

ArticleFrontiers in digital health2026

Patient-Perceived feasibility of implementing OpenCap smartphone-based motion capture technology to remotely assess musculoskeletal movement in individuals with orthopedic disorders presenting to a rural midwestern tertiary center.

Holly D Aitken, Joshua B Holt, Robert W Westermann, Jacob M Elkins, Dallas A Vanorny, Justin T Crawmer, Eli S Gregory, Silvana Velasquez-Marin Mohr, Cole M Rich, Jessica E Goetz

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Holly D AitkenDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Joshua B HoltDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Robert W WestermannDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Jacob M ElkinsDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Dallas A VanornyDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Justin T CrawmerDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Eli S GregoryDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Silvana Velasquez-Marin MohrDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Cole M RichDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.
Jessica E GoetzDepartment of Orthopedics & Rehabilitation, University of Iowa Health Care, North Liberty, IA, United States.

Funding

University of Iowa Institute for Clinical and Translational ScienceUM1TR004403 · NCATS · UNIVERSITY OF IOWA · PI Marlan R Hansen, Patricia Winokur · 2023 to 2026
$16.1M
NCATS NIH HHS UM1 TR004403
6 · The paper itself

Abstract

Background: OpenCap, an open-source research platform for estimating 3D joint kinematics from videos captured with two iOS devices, has the potential to enable remote rehabilitation tracking and reduce travel burden associated with in-person orthopedic evaluation. However, it is unknown whether orthopedic patients have adequate iOS technological access required for OpenCap data collection, particularly in rural or resource-limited settings in which getting to clinic for rehabilitation management is most difficult. This study sought to evaluate orthopedic patient access to the necessary technology and perceived comfort level with performing an OpenCap data collection. Methods: Three orthopedic patient cohorts were prospectively enrolled: (1) 200 pediatric patients (and their caregivers), (2) 200 adult sports medicine patients, and (3) 200 adult joint arthroplasty patients. Participants completed a REDCap questionnaire regarding their access to a computer, internet, and iOS devices, and their perceived comfort level performing a remote musculoskeletal biomechanics assessment. Results: Of the orthopedic patients enrolled, 65.5-83.5% indicated access to the necessary technology resources for an OpenCap data collection, and geographic residential location did not significantly affect technological access. 71.7%-95.8% of patients indicated that they were "definitely" or "probably" comfortable performing activities needed for an OpenCap data collection, and 68.3%-82.3% of patients felt that the OpenCap technology would "definitely" or "probably" reduce their travel burden associated with in-person clinical assessment. Conclusions: While both kinematic and implementation validation in specific orthopedic patient populations is still required, these findings suggest the perceived feasibility of using OpenCap for future remote musculoskeletal biomechanics assessment among orthopedic patients, including those in predominantly rural settings.

Indexed as

motion captureOpenCaporthopedicsremote evaluationtechnological access

Identifiers

PMID42564171
PMCPMC13442442

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.