Evidence map›Paper›PMID 36429591›Full record

Trial reportInternational journal of environmental research and public health2022

Self-Guided Smartphone Application to Manage Chronic Musculoskeletal Pain: A Randomized, Controlled Pilot Trial.

Chao Hsing Yeh, Jennifer Kawi, Lauren Grant, Xinran Huang, Hulin Wu, Robin L Hardwicke, Paul J Christo

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05020470 (Pilot Testing A Theory-Driven Self-Management Intervention for Chronic Musculoskeletal Pain), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 13% of its field
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.

NCT05020470 nacompletednot on this map

Pilot Testing A Theory-Driven Self-Management Intervention for Chronic Musculoskeletal Pain

TypeinterventionalSponsorJohns Hopkins UniversityRan2021 to 2022Enrolled37ConditionsChronic Musculoskeletal PainArmsVirtual Auricular Point Acupressure (APA), In-Person Training, Usual Care
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Acupuncture for chemotherapy-induced dysgeusia (AcuDysg): a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

7 authors at 3 institutions in 1 country.

Chao Hsing YehCizik School of Nursing at UTHealth, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0001-5326-6660
Jennifer KawiSchool of Nursing, University of Nevada, Las Vegas, NV 89154, USA.ORCID 0000-0003-3359-1946
Lauren GrantSchool of Nursing, University of Nevada, Las Vegas, NV 89154, USA.
Xinran HuangSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-8126-9735
Hulin WuSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Robin L HardwickeMcGovern School of Medicine, The University of Texas Health Science Center, Houston, TX 77030, USA.
Paul J ChristoSchool of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
The University of Texas Health Science Center at Houston · USJohns Hopkins University · USUniversity of Nevada, Las Vegas · US

Funding

Pilot Testing A Theory-Driven Self- Management Intervention for Chronic Musculoskeletal PainR56NR019813 · NINR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KAWI, JENNIFER, YEH, CHAO HSING · 2021 to 2021
$334k
NINR NIH HHS R56 NR019813
6 · The paper itself

Abstract

objectiveThe goal of this study is to evaluate the feasibility and efficacy of an auricular point acupressure smartphone app (mAPA) to self-manage chronic musculoskeletal pain.

methodsA prospective, longitudinal, randomized, controlled pilot trial was conducted using a three-group design (self-guided mAPA (

resultsAfter a 4-week APA intervention, participants in the in-person mAPA group had improved physical function of 32% immediately post-intervention and 29% at the 1M follow-up. Participants in the self-guided mAPA group had higher improvement (42% at post-intervention and 48% at the 1M follow-up). Both mAPA groups had similar degrees of pain intensity relief at post-intervention (45% for in-person and 48% for the self-guided group) and the 1M follow-up (42% for in-person and 45% for the self-guided group). Over 50% of the participants in each group reached at least 30% reduced pain intensity at post-intervention, and this was sustained in the mAPA groups at the 1M follow-up. Approximately 80% of the participants in both mAPA groups were satisfied with the treatment outcomes and adhered to the suggested APA practice; however, participants in the self-guided group had higher duration and more frequency in APA use. The attrition rate was 16% at the 1M follow-up. No adverse effects of APA were reported, and participants found APA to be beneficial and the app to be valuable.

conclusionsThe study findings indicate that participants effectively learned APA using a smartphone app, whether they were self-guided or received in-person training. They were able to self-administer APA to successfully manage their pain. Participants found APA to be valuable in their pain self-management and expressed satisfaction with the intervention using the app.

Indexed as

Chronic PainMobile ApplicationsMusculoskeletal PainHumansPilot ProjectsProspective StudiesSmartphoneauricular point acupressurechronic musculoskeletal painself-managementsmartphone application

Identifiers

PMID36429591
PMCPMC9691217
OpenAlexW4308972077

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.