Evidence map›Paper›PMID 30224333›Full record

ArticleJMIR mHealth and uHealth2018

An mHealth App for Self-Management of Chronic Lower Back Pain (Limbr): Pilot Study.

Aliza Selter, Christina Tsangouri, Sana B Ali, Diana Freed, Adrian Vatchinsky, James Kizer, Arnaud Sahuguet, Deneen Vojta, Vijay Vad, J P Pollak and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03040310 (Personalized Back Rx Exercise Program With Coaching, Social Support, and Sensor-assisted Assessments as a Treatment for Discogenic Low Back Pain), which is not on this map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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.

NCT03040310 nacompletednot on this map

Personalized Back Rx Exercise Program With Coaching, Social Support, and Sensor-assisted Assessments as a Treatment for Discogenic Low Back Pain: A Prospective Pilot Study

TypeinterventionalSponsorHospital for Special Surgery, New YorkRan2016 to 2017Enrolled98ConditionsLow Back PainArmsBack Rx program
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Feasibility and user acceptability of BreezingSmart health (Amsterdam, Netherlands) · 2023
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  14. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
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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

11 authors.

Aliza SelterCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0002-4243-0573
Christina TsangouriCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0002-3661-7294
Sana B AliHealthix Inc, New York, NY, United States.ORCID http://orcid.org/0000-0003-1214-4872
Diana FreedCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0001-5262-4147
Adrian VatchinskyCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0001-7027-7556
James KizerCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0002-6850-258X
Arnaud SahuguetCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0003-3472-0375
Deneen VojtaUnitedHealth Group Research & Development, Minnetonka, MN, United States.ORCID http://orcid.org/0000-0001-9576-6153
Vijay VadHospital for Special Surgery, New York, NY, United States.ORCID http://orcid.org/0000-0002-5167-6241
J P PollakCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0001-6904-9548
Deborah EstrinCornell Tech, New York, NY, United States.ORCID http://orcid.org/0000-0001-6477-0096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough mobile health (mHealth) interventions can help improve outcomes among patients with chronic lower back pain (CLBP), many available mHealth apps offer content that is not evidence based. Limbr was designed to enhance self-management of CLBP by packaging self-directed rehabilitation tutorial videos, visual self-report tools, remote health coach support, and activity tracking into a suite of mobile phone apps, including Your Activities of Daily Living, an image-based tool for quantifying pain-related disability.

objectiveThe aim is to (1) describe patient engagement with the Limbr program, (2) describe patient-perceived utility of the Limbr program, and (3) assess the validity of the Your Activities of Daily Living module for quantifying functional status among patients with CLBP.

methodsThis was a single-arm trial utilizing a convenience sample of 93 adult patients with discogenic back pain who visited a single physiatrist from January 2016 to February 2017. Eligible patients were enrolled in 3-month physical therapy program and received the Limbr mobile phone app suite for iOS or Android. The program included three daily visual self-reports to assess pain, activity level, and medication/coping mechanisms; rehabilitation video tutorials; passive activity-level measurement; and chat-based health coaching. Patient characteristics, patient engagement, and perceived utility were analyzed descriptively. Associations between participant characteristics and program interaction were analyzed using multiple linear regression. Associations between Your Activities of Daily Living and Oswestry Disability Index (ODI) assessments were examined using Pearson correlation and hierarchical linear modeling.

resultsA total of 93 participants were enrolled; of these, 35 (38%) completed the program (age: mean 46, SD 16 years; female: 22/35, 63%). More than half of completers finished assessments at least every 3 days and 70% (19/27) used the rehabilitation component at least once a week. Among respondents to a Web-based feedback survey, 76% (16/21) found the daily notifications helped them remember to complete their exercises, 81% (17/21) found the system easy to use, and 62% (13/21) rated their overall experience good or excellent. Baseline Your Activities of Daily Living score was a significant predictor of baseline ODI score, with ODI increasing by 0.30 units for every 1-unit increase in Your Activities of Daily Living (P<.001). Similarly, hierarchical linear modeling analysis indicated that Your Activities of Daily Living daily assessment scores were significant predictors of ODI scores over the course of the study (P=.01).

conclusionsEngagement among participants who completed the Limbr program was high, and program utility was rated positively by most respondents. Your Activities of Daily Living was significantly associated with ODI scores, supporting the validity of this novel tool. Future studies should assess the effect of Limbr on clinical outcomes, evaluate its use among a wider patient sample, and explore strategies for reducing attrition.

trial registrationClinicalTrials.gov NCT03040310; https://clinicaltrials.gov/ct2/show/NCT03040310 (Archived by WebCite at http://www.webcitation.org/722mEvAiv).

Indexed as

activities of daily livingchronic diseaselow back painpainrehabilitationself-assessmentself-managementtelemedicine

Identifiers

PMID30224333
PMCPMC6231870

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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.