Evidence map›Paper›PMID 39361563›Full record

ArticlePloS one2024

Feasibility, reliability and validity of self-measurement of knee range-of-motion using an accelerometer-based smartphone application by patients with total knee arthroplasty.

Eleanor Shuxian Chew, Ee-Lin Woon, Juanita Krysten Miao-Shi Low, Luke Jonathan Haseler, Ismahfaris Ismail, Muhammad Bukhari Alif, Yu-Heng Kwan, John Wei-Ming Tan, Samantha Shi-Man Koh, Hee-Nee Pang and 5 more

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Eleanor Shuxian ChewDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-8801-5041
Ee-Lin WoonDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Juanita Krysten Miao-Shi LowDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Luke Jonathan HaselerSchool of Allied Health Care, Curtin University, Perth, Australia.ORCID 0000-0003-1607-4402
Ismahfaris IsmailSchool of Computing, National University of Singapore, Singapore, Singapore.
Muhammad Bukhari AlifSchool of Computing, National University of Singapore, Singapore, Singapore.
Yu-Heng KwanProgramme in Health Services and System Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-7802-9696
John Wei-Ming TanDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Samantha Shi-Man KohDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Hee-Nee PangDepartment of Orthopedic Surgery, Singapore General Hospital, Singapore, Singapore.
Jerry Delphi Yongqiang ChenDepartment of Orthopedic Surgery, Singapore General Hospital, Singapore, Singapore.
Seng-Jin YeoDepartment of Orthopedic Surgery, Singapore General Hospital, Singapore, Singapore.
Shi-Ying LimSchool of Computing, National University of Singapore, Singapore, Singapore.
Celia Ia-Choo TanDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Yong-Hao PuaDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsLimited knee range-of-motion (ROM) is common following total knee arthroplasty (TKA). It is associated with functional limitations and patient dissatisfaction. Regular knee ROM assessment is important but accurate testing traditionally requires timely access to trained healthcare professionals. Although accelerometer-based smartphone goniometry has shown to provide reliable and valid joint angles, current evidence of its use still positions healthcare providers as end users instead of patients themselves. Therefore, to maximize the impact of smartphone goniometry on post-TKA care, our study aimed to examine the feasibility, reliability, and validity of patients' self-measurement of knee ROM using an accelerometer-based smartphone goniometry application.

methodsPatients were given standard instructions with a practice trial before the actual measurements. Passive knee flexion and extension ROM was measured on 2 sessions in 30 patients with TKA using 4 block-randomized methods: (i) smartphone self-assessment, (ii) long-arm goniometry by physiotherapist, (iii) smartphone assessment by physiotherapist, and (iv) extendable-arm goniometry by physiotherapist with placement adjudication. Feasibility was assessed by the number of participants who could independently perform the self-measurement. To assess intra- and inter-session reliability, we computed intraclass correlation coefficients (ICCs) from random-effects models. To assess intra- and inter-session agreement, we computed mean absolute differences (MADs) and minimum detectable change (MDC). To assess concurrent validity, we designated extendable-arm goniometry as the "gold standard" and compared other methods against it using ICCs and MADs.

resultsAll patients were able to comprehend and execute the assessment. 87% (n = 26) found the application easy to administer. Smartphone goniometry by patients showed excellent intra- and inter-session reliability (ICCs>0.97) and minimum variability (MAD = 0.9°-3.9°; MDC95 = 3.1°-9.0°). Smartphone or long-arm goniometry by physiotherapists did not outperform patients' self-assessment (ICC = 0.96-0.99, MAD = 0.7°-3.1°; MDC95 = 2.2°-8.0°). Compared against extendable-arm goniometry, smartphone goniometry by patients measured knee flexion and extension ROM with a MAD of 4.5° (ICC, 0.97) and 2.2° (ICC = 0.98), respectively.

conclusionOur study demonstrates that smartphone goniometry is feasible, reliable and accurate, and can be used with confidence in the self-assessment of knee ROM post-TKA. Future studies should further explore its utility in telemonitored rehabilitation, and its possible integration into mobile health applications to enhance accessibility to care following TKA.

Indexed as

Arthroplasty, Replacement, KneeFeasibility StudiesKnee JointMobile ApplicationsRange of Motion, ArticularSmartphoneAccelerometryAgedArthrometry, ArticularFemaleHumansMaleMiddle AgedReproducibility of Results

Identifiers

PMID39361563
PMCPMC11449355

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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.