Evidence map›Paper›PMID 39258924›Full record

Observational studyJMIR aging2024

Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study.

Brian Suffoletto, David Kim, Caitlin Toth, Waverly Mayer, Sean Glaister, Chris Cinkowski, Nick Ashenburg, Michelle Lin, Michael Losak

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Brian SuffolettoDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0000-0002-9628-5260
David KimDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0000-0003-0151-5121
Caitlin TothDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0009-0003-3955-5476
Waverly MayerDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0009-0004-5532-1124
Sean GlaisterDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0009-0004-6101-1245
Chris CinkowskiDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0009-0000-4037-8049
Nick AshenburgDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0000-0002-9996-6248
Michelle LinDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0000-0001-6045-7342
Michael LosakDepartment of Emergency Medicine, Stanford University, 300 Porter Drive, Palo Alto, CA, 94020, United States, 1 650-723-6576, 1 650-723-0121.ORCID 0000-0001-7706-3323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Older adults discharged from the emergency department (ED) face elevated risk of falls and functional decline. Smartphones might enable remote monitoring of mobility after ED discharge, yet their application in this context remains underexplored. Objective: This study aimed to assess the feasibility of having older adults provide weekly accelerometer data from an instrumented Timed Up-and-Go (TUG) test over an 11-week period after ED discharge. Methods: This single-center, prospective, observational, cohort study recruited patients aged 60 years and older from an academic ED. Participants downloaded the GaitMate app to their iPhones that recorded accelerometer data during 11 weekly at-home TUG tests. We measured adherence to TUG test completion, quality of transmitted accelerometer data, and participants' perceptions of the app's usability and safety. Results: Of the 617 approached patients, 149 (24.1%) consented to participate, and of these 149 participants, 9 (6%) dropped out. Overall, participants completed 55.6% (912/1639) of TUG tests. Data quality was optimal in 31.1% (508/1639) of TUG tests. At 3-month follow-up, 83.2% (99/119) of respondents found the app easy to use, and 95% (114/120) felt safe performing the tasks at home. Barriers to adherence included the need for assistance, technical issues with the app, and forgetfulness. Conclusions: The study demonstrates moderate adherence yet high usability and safety for the use of smartphone TUG tests to monitor mobility among older adults after ED discharge. Incomplete TUG test data were common, reflecting challenges in the collection of high-quality longitudinal mobility data in older adults. Identified barriers highlight the need for improvements in user engagement and technology design.

Indexed as

AccelerometryEmergency Service, HospitalFeasibility StudiesPatient DischargeSmartphoneAccidental FallsAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedMobile ApplicationsProspective Studiesageingagingappapplicationapplicationsappsbalancedigital healthdigital interventiondigital interventionsdigital technologydischargeEDelderelderlyemergency departmentemergency departmentsemergency roomERfallfall riskfall risksfallsfunctional declinegaitmobile applicationmobile applicationsmobile phonemobilitymonitoringolder adultolder adultsolder peopleolder personpatient monitoringphonepredictionsensorssmartphonesmartphones

Identifiers

PMID39258924
PMCPMC11440574

What OpenQuestion holds

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LicenceCC BY
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.