Evidence map›Paper›PMID 38787602›Full record

ArticleJMIR formative research2024

Reliability of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Observational Study.

Alvaro Yanez Touzet, Tatiana Houhou, Zerina Rahic, Angelos Kolias, Stefan Yordanov, David B Anderson, Ilya Laufer, Maggie Li, Gordan Grahovac, Mark Rn Kotter and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

12 authors.

Alvaro Yanez TouzetSchool of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-9309-1885
Tatiana Houhou *Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0000-0002-4166-6306
Zerina Rahic *Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0009-0004-9175-1439
Angelos KoliasDivision of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-3992-0587
Stefan YordanovDivision of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-7008-6012
David B AndersonFaculty of Medicine and Health, Sydney School of Health Sciences, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-7104-122X
Ilya LauferNew York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-0092-5030
Maggie LiFaculty of Medicine and Health, Sydney School of Health Sciences, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0009-0000-3098-2824
Gordan GrahovacKing's College Hospital, Kings NHS Foundation Trust, Denmark Hill, London, United Kingdom.ORCID https://orcid.org/0000-0001-7255-8853
Mark Rn KotterMoveMed Ltd., Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-5145-7199
Benjamin M DaviesMoveMed Ltd., Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-0591-5069
MoveMed Ltd *See Acknowledgements, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping new clinical measures for degenerative cervical myelopathy (DCM) is an AO Spine RECODE-DCM Research, an international and multi-stakeholder partnership, priority. Difficulties in detecting DCM and its changes cause diagnostic and treatment delays in clinical settings and heightened costs in clinical trials due to elevated recruitment targets. Digital outcome measures can tackle these challenges due to their ability to measure disease remotely, repeatedly, and more economically.

objectiveThe aim of this study is to assess the reliability of the MoveMed battery of performance outcome measures.

methodsA prospective observational study in decentralized secondary care was performed in England, United Kingdom. The primary outcome was to determine the test-retest reliability of the MoveMed performance outcomes using the intraclass correlation (ICC) of agreement . The secondary outcome was to determine the measurement error of the MoveMed performance outcomes using both the SE of the mean (SEM) of agreement and the smallest detectable change (SDC) of agreement . Criteria from the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) manual were used to determine adequate reliability (ie, ICC of agreement ≥0.7) and risk of bias. Disease stability was controlled using 2 minimum clinically important difference (MCID) thresholds obtained from the literature on the patient-derived modified Japanese Orthopaedic Association (p-mJOA) score, namely, MCID ≤1 point and MCID ≤2 points.

resultsIn total, 7 adults aged 59.5 (SD 12.4) years who live with DCM and possess an approved smartphone participated in the study. All tests demonstrated moderate to excellent test-retest coefficients and low measurement errors. In the MCID ≤1 group, ICC of agreement values were 0.84-0.94 in the fast tap test, 0.89-0.95 in the hold test, 0.95 in the typing test, and 0.98 in the stand and walk test. SEM of agreement values were ±1 tap, ±1%-3% stability score points, ±0.06 keys per second, and ±10 steps per minute, respectively. SDC of agreement values were ±3 taps, ±4%-7% stability score points, ±0.2 keys per second, and ±27 steps per minute, respectively. In the MCID ≤2 group, ICC of agreement values were 0.61-0.91, 0.75-0.77, 0.98, and 0.62, respectively; SEM of agreement values were ±1 tap, ±2%-4% stability score points, ±0.06 keys per second, and ±10 steps per minute, respectively; and SDC of agreement values were ±3-7 taps, ±7%-10% stability score points, ±0.2 keys per second, and ±27 steps per minute, respectively. Furthermore, the fast tap, hold, and typing tests obtained sufficient ratings (ICC of agreement ≥0.7) in both MCID ≤1 and MCID ≤2 groups. No risk of bias factors from the COSMIN Risk of Bias checklist were recorded.

conclusionsThe criteria from COSMIN provide "very good" quality evidence of the reliability of the MoveMed tests in an adult population living with DCM.

Indexed as

mobile phoneneurologypatient outcome assessmentpsychometricsreproducibility of resultssmartphonespinal cord compression

Identifiers

PMID38787602
PMCPMC11161705

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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.