Evidence map›Paper›PMID 39844381›Full record

ArticleJMIR human factors2025

Following Up Patients With Chronic Pain Using a Mobile App With a Support Center: Unicenter Prospective Study.

Marta Antonia Gómez-González, Nicolas Cordero Tous, Javier De la Cruz Sabido, Carlos Sánchez Corral, Beatriz Lechuga Carrasco, Marta López-Vicente, Gonzalo Olivares Granados

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Marta Antonia Gómez-González *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0009-0000-8751-8993
Nicolas Cordero Tous *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0000-0001-7265-3519
Javier De la Cruz Sabido *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0000-0002-5865-4299
Carlos Sánchez Corral *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0009-0006-9655-6434
Beatriz Lechuga Carrasco *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0009-0003-6013-7674
Marta López-Vicente *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0009-0008-6472-0978
Gonzalo Olivares Granados *Department of Neurosurgery, Hospital Universitario Virgen de las Nieves, Av. Juan Pablo II s/n, Granada, 18013, Spain, 34 699699250.ORCID 0000-0003-4671-2882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain is among the most common conditions worldwide and requires a multidisciplinary treatment approach. Spinal cord stimulation is a possible treatment option for pain management; however, patients undergoing this intervention require close follow-up, which is not always feasible. eHealth apps offer opportunities for improved patient follow-up, although adherence to these apps tends to decrease over time, with rates dropping to approximately 60%. To improve adherence to remote follow-up, we developed a remote follow-up system consisting of a mobile app for patients, a website for health care professionals, and a remote support center. Objective: Our objective was to evaluate patient adherence to remote follow-up using a system that includes a mobile app and a remote support center. Methods: After review of the literature and approval of the design of the follow-up system by a multidisciplinary committee, a team of experts developed a system based on a mobile app, a website for health care professionals, and a remote support center. The system was developed in collaboration with health care professionals and uses validated scales to capture patients' clinical data at each stage of treatment (ie, pretreatment phase, trial phase, and implantation phase). Data were collected prospectively between January 2020 to August 2023, including the number of total surveys sent, surveys completed, SMS text message reminders sent, and reminder calls made. Results: A total of 64 patients were included (n=40 women, 62.5%) in the study. By the end of the study, 19 (29.7%) patients remained in the pretreatment phase, 8 (12.5%) patients had completed the trial phase, and 37 (57.8%) reached the implantation phase. The mean follow-up period was 15.30 (SD 9.43) months. A total of 1574 surveys were sent, along with 488 SMS text message reminders and 53 reminder calls. The mean adherence rate decreased from 94.53% (SD 20.63%) during the pretreatment phase to 65.68% (SD 23.49%) in the implantation phase, with an overall mean adherence rate of 87.37% (SD 15.37%) for the app. ANOVA showed that adherence was significantly higher in the earlier phases of treatment (P<.001). Conclusions: Our remote follow-up system, supported by a remote support center improves adherence to follow-up in later phases of treatment, although adherence decreased over time. Further studies are needed to investigate the relationship between adherence to the app and pain management.

Indexed as

Chronic PainMobile ApplicationsPain ManagementPatient ComplianceAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesTelemedicinechronic paineHealthfollow-upmHealthmobile healthmobile phone apppain controlpain managementprospective studysupport centersurvey

Identifiers

PMID39844381
PMCPMC11776344

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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.