Evidence map›Paper›PMID 27635328›Full record

ArticlePeerJ2016

Reliability and validity of an iPhone(®) application for the measurement of lumbar spine flexion and extension range of motion.

Mohammad Reza Pourahmadi, Morteza Taghipour, Elham Jannati, Mohammad Ali Mohseni-Bandpei, Ismail Ebrahimi Takamjani, Fatemeh Rajabzadeh

Registry-linked trialAbstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03658915 (Validity and Reliability of Smartphone Use in Measuring Joint Position Sense in Patients With Knee Osteoarthritis), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

NCT03658915 completednot on this mapstarted 2018, after this paper: background citation

Validity and Reliability of Smartphone Use in Measuring Joint Position Sense in Patients With Knee Osteoarthritis

TypeobservationalSponsorAliaa Rehan YoussefRan2018 to 2019Enrolled33ConditionsKnee OsteoarthritisArmsSmartphone application (Goniometer Pro )
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Test-Retest Reliability of an iPhoneInternational journal of environmental research and public health · 2021
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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

6 authors.

Mohammad Reza PourahmadiDepartment of Physiotherapy, School of Rehabilitation Sciences, Iran University of Medical Sciences , Tehran , Iran.
Morteza TaghipourDepartment of Physiotherapy, University of Social Welfare and Rehabilitation Sciences , Tehran , Iran.
Elham JannatiDepartment of Physiotherapy, School of Rehabilitation Sciences, Iran University of Medical Sciences , Tehran , Iran.
Mohammad Ali Mohseni-BandpeiDepartment of Physiotherapy, University of Social Welfare and Rehabilitation Sciences , Tehran , Iran.
Ismail Ebrahimi TakamjaniDepartment of Physiotherapy, School of Rehabilitation Sciences, Iran University of Medical Sciences , Tehran , Iran.
Fatemeh RajabzadehDepartment of Physiotherapy, University of Social Welfare and Rehabilitation Sciences , Tehran , Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement of lumbar spine range of motion (ROM) is often considered to be an essential component of lumbar spine physiotherapy and orthopedic assessment. The measurement can be carried out through various instruments such as inclinometers, goniometers, and etc. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for inclinometric functions. PURPOSE: The main purpose was to investigate the reliability and validity of an iPhone(®) app (TiltMeter(©) -advanced level and inclinometer) for measuring standing lumbar spine flexion-extension ROM in asymptomatic subjects.

designA cross-sectional study was carried out.

settingThis study was conducted in a physiotherapy clinic located at School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. SUBJECTS: A convenience sample of 30 asymptomatic adults (15 males; 15 females; age range = 18-55 years) was recruited between August 2015 and December 2015.

methodsFollowing a 2-minute warm-up, the subjects were asked to stand in a relaxed position and their skin was marked at the T12-L1 and S1-S2 spinal levels. From this position, they were asked to perform maximum lumbar flexion followed by maximum lumbar extension with their knees straight. Two blinded raters each used an inclinometer and the iPhone (®) app to measure lumbar spine flexion-extension ROM. A third rater read the measured angles. To calculate total lumbar spine flexion-extension ROM, the measurement from S1-S2 was subtracted from T12-L1. The second (2 hours later) and third (48 hours later) sessions were carried out in the same manner as the first session. All of the measurements were conducted 3 times and the mean value of 3 repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone(®) app. Furthermore, minimum detectable change at the 95% confidence level (MDC95) was computed as 1.96 × standard error of measurement × [Formula: see text].

resultsGood to excellent intra-rater and inter-rater reliability were demonstrated for both the gravity-based inclinometer with ICC values of ≥0.84 and ≥0.77 and the iPhone(®) app with ICC values of ≥0.85 and ≥0.85, respectively. The MDC95 ranged from 5.82°to 8.18°for the intra-rater analysis and from 7.38°to 8.66° for the inter-rater analysis. The concurrent validity for flexion and extension between the 2 instruments was 0.85 and 0.91, respectively.

conclusionsThe iPhone(®)app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that the iPhone(®) app can be used for the measurement of lumbar spine flexion-extension ROM. LEVEL OF EVIDENCE: IIb.

Indexed as

Gravity-based inclinometerLumbar vertebraeRange of motionSmartphone

Identifiers

PMID27635328
PMCPMC5012335

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Registered trials

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.