Evidence map›Paper›PMID 37609556›Full record

ArticleHarvard data science review2022

A Series of Virtual Interventions for Chronic Lower Back Pain: A Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials.

Mark Butler, Stefani D'Angelo, Melissa Kaplan, Zarrin Tashnim, Danielle Miller, Heejoon Ahn, Louise Falzon, Andrew J Dominello, Cirrus Foroughi, Thevaa Chandereng and 2 more

Abstract read
In one paragraph

Article in Harvard data science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

12 authors.

Mark ButlerFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Stefani D'AngeloFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Melissa KaplanFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Zarrin TashnimFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Danielle MillerFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Heejoon AhnFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Louise FalzonFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Andrew J DominelloFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Cirrus ForoughiFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.
Thevaa ChanderengMailman School of Public Health, Columbia University, New York City, New York, United States of America.
Ken CheungMailman School of Public Health, Columbia University, New York City, New York, United States of America.
Karina DavidsonFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States of America.

Funding

Re-engineering Precision Therapeutics Through N-of-1 TrialsR01LM012836 · NLM · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, KARINA W. · 2017 to 2023
$7.6M
NLM NIH HHS R01 LM012836
6 · The paper itself

Abstract

Chronic lower back pain (CLBP) affects 25% of U.S. adults and is associated with high costs due to physician visits and reduced productivity. Research shows that massage and yoga can be effective nonpharmacological treatments for CLBP, but the feasibility, scalability, individual treatment, and adverse-event heterogeneity of these treatments are unknown. The current study evaluated the feasibility and acceptability of a series of personalized (N-of-1) interventions for virtual delivery of massage and yoga or usual-care treatment for CLBP in 57 participants. We hypothesized that this study would provide valuable information about implementing a virtual, personalized platform for randomized controlled trials of personalized (N-of-1) interventions among individuals with CLBP. The study will do so by determining participants' ratings of usability and satisfaction with the virtual, personalized intervention delivery system and, in the long term, identifying ways to integrate these personalized trials into patient care. Of the 57 participants enrolled, two withdrew from the study and were not eligible to receive the primary outcome assessment. Thirty-seven of the remaining 55 participants (67.3%) completed satisfaction surveys comprising the System Usability Scale (SUS) and items assessing satisfaction with the components of the personalized trial. Participants rated the usability of the personalized trial as excellent (average SUS score = 85.8), 95% were satisfied with the personalized trial overall, and 100% stated they would recommend the trial to others. These results suggest that personalized trials of massage and yoga are highly feasible and acceptable to participants with CLBP.

Indexed as

massageN-of-1painpersonalizedpersonalized trialyoga

Identifiers

PMID37609556
PMCPMC10443938

What OpenQuestion holds

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LicenceCC BY
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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.