Evidence map›Paper›PMID 41431460›Full record

ArticleInterventional pain medicine2025

Feasibility of a mobile application to track longitudinal pain outcomes after epidural joint injections.

Patricia Z Zheng, Ted Miclau, Brandon Goenawan, Gabriel Johnson, Conor O'Neill, Lyndly Tamura, Peter I-Kung Wu, Matthew Smuck

Abstract read
In one paragraph

Article in Interventional pain medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Patricia Z ZhengDivision of PM&R, Department of Orthopedic Surgery, UCSF, United States.
Ted MiclauDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Brandon GoenawanSchool of Medicine, UCSF, United States.
Gabriel JohnsonDivision of PM&R, Department of Orthopedic Surgery, UCSF, United States.
Conor O'NeillDivision of PM&R, Department of Orthopedic Surgery, UCSF, United States.
Lyndly TamuraDivision of PM&R, Department of Orthopedic Surgery, UCSF, United States.
Peter I-Kung WuDivision of PM&R, Department of Orthopedic Surgery, UCSF, United States.
Matthew SmuckPM&R Division, Department of Orthopedic Surgery, Stanford University, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tracking spine intervention outcomes is costly and time-consuming, hindering research. Mobile health (mhealth) applications offer a promising solution to reduce the need to hire personnel to recruit patients and collect data. However, evidence supporting the use of mHealth to study pain and spine interventions is limited and heterogeneous. Objectives: This study aims to understand how recruitment methods influence patient recruitment and retention in a digital study tracking pain. We hypothesize that in-person recruitment, especially with a physician rather than a research assistant, leads to higher recruitment and retention. Methods: We designed a prospective observational study of patients scheduled for spine injections at an academic outpatient surgical center. Eligible patients were recruited via three methods: in-person research assistant, remote research assistant via phone, or in-person clinician. Upon enrollment, a mHealth application prompted patients to complete post-injection surveys at pre-defined intervals based on injection type. Enrollment and retention rates were then compared across recruitment groups. Results: Of 194 patients approached, enrollment rates differed significantly by recruitment strategy: 94.1 % for in-person physicians (N = 32 enrolled/34 approached), 85.0 % for in-person research assistants (N = 51/60), and 30.0 % for remote research assistants (N = 30/100) ( Conclusion: Tracking post-injection pain using mHealth applications is feasible, though success depends heavily on recruitment strategy. In-person physician-led enrollment resulted in the highest recruitment and retention rates though the drop-out rates were still significant. Future studies should focus on refining recruitment approaches to optimize patient participation.

Identifiers

PMID41431460
PMCPMC12718133

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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.