Evidence map›Paper›PMID 37533501›Full record

ArticleOrthopaedic journal of sports medicine2023

Accuracy of a Smartphone Software Application Compared With a Handheld Goniometer for Measuring Shoulder Range of Motion in Asymptomatic Adults.

Rupali Soeters, Dhanur Damodar, Nicole Borman, Kendal Jacobson, Jing Shi, Raji Pillai, Nima Mehran

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Rupali SoetersUniversity of St Augustine, Austin, Texas, USA.
Dhanur DamodarRush University/Midwest Orthopedics at Rush, Chicago, Illinois, USA.
Nicole BormanUniversity of St Augustine, Austin, Texas, USA.
Kendal JacobsonUniversity of St Augustine, Austin, Texas, USA.
Jing ShiMedical Affairs Consulting Inc, San Francisco, California, USA.
Raji PillaiMedical Affairs Consulting Inc, San Francisco, California, USA.
Nima MehranKaiser Permanente-Los Angeles Medical Center, Los Angeles, California, USA.
St. Augustine College · USSan Francisco VA Medical Center · USKaiser Permanente West Los Angeles Medical Center · USRush University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Typically, shoulder range of motion (ROM) measurements are performed in a clinic setting, where physicians, physical therapists (PTs), and occupational therapists make use of a goniometer. Purpose: To determine the accuracy of a smartphone-based ROM software application (app) in assessing active shoulder ROM and compare the measurements with traditional goniometry as measured by a PT. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: This prospective, nonblinded study was conducted at a single institution with adult asymptomatic participants with full active ROM of both shoulders. Participants were enrolled between June 1 and 15, 2021. Each participant self-assessed their active shoulder ROM using the PeerWell smartphone app. A single PT concurrently measured each participant's active shoulder ROM using a handheld universal goniometer. Bilateral shoulder ROM (forward flexion, abduction [AB], external rotation, internal rotation [IR], and extension) was measured 2 times for each participant. Interrater reliability between the smartphone app and PT measurements as well as intrarater reliability for each method of measurement were assessed using the intraclass correlation coefficient (ICC), and limits of agreement were analyzed for the difference in measurement methods. Results: Data were analyzed for 60 shoulders (30 right, 30 left) from 30 participants (mean age, 31.4 ± 11.7 years; 73% female). The interrater reliability between the 2 methods was excellent for all movements (ICCs, 0.90-0.96). For all movements except shoulder AB, the mean difference in the measurements between the 2 methods was <1.3°; the mean difference in AB ROM was 2.08°. For all movements except IR, both PTs and the app showed excellent intrarater reliability (ICCs >0.90); for IR, good intrarater reliability (ICC ≥0.75) was observed. Conclusion: The PeerWell smartphone app provided measurements comparable with manual measurements taken by a PT using a goniometer. These data provide evidence that the smartphone app is a reliable and valid tool for measuring shoulder ROM and show promise for measuring and monitoring patient ROM remotely.

Indexed as

digital technologygoniometermusculoskeletal pathologymusculoskeletal recovery platformphysical therapy/rehabilitationremote monitoringshoulder range of motiontelerehabilitationvalue-based health care

Identifiers

PMID37533501
PMCPMC10392163
OpenAlexW4385412054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.