Evidence map›Paper›PMID 29482614›Full record

ArticleTrials2018

Improving pain treatment with a smartphone app: study protocol for a randomized controlled trial.

Carlos Suso-Ribera, Ángela Mesas, Javier Medel, Anna Server, Esther Márquez, Diana Castilla, Irene Zaragozá, Azucena García-Palacios

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03247725 (Pain Monitor), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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.

NCT03247725 nacompletednot on this map

Pain Monitor: a Randomized Controlled Trial to Test the Efficacy of a Pain App in the Treatment of Chronic Pain

TypeinterventionalSponsorUniversitat Jaume IRan2017 to 2018Enrolled150ConditionsChronic PainArmspain app, Treatment as usual (medical)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. The Effect of Everyday-Life Social Contact on Pain.Journal of medical Internet research · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
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.

Carlos Suso-RiberaDepartment of Basic and Clinical Psychology and Psychobiology, Jaume I University, Av. de Vicent Sos Baynat, s/n, 12071, Castellon de la Plana, Spain. susor@uji.es.ORCID http://orcid.org/0000-0002-2655-1017
Ángela MesasPain Clinic, Vall d'Hebron Hospital, Barcelona, Spain.
Javier MedelPain Clinic, Vall d'Hebron Hospital, Barcelona, Spain.
Anna ServerPain Clinic, Vall d'Hebron Hospital, Barcelona, Spain.
Esther MárquezPain Clinic, Vall d'Hebron Hospital, Barcelona, Spain.
Diana CastillaDepartment of Basic and Clinical Psychology and Psychobiology, Jaume I University, Av. de Vicent Sos Baynat, s/n, 12071, Castellon de la Plana, Spain.
Irene ZaragozáCIBER of Physiopathology of Obesity and Nutrition CIBERobn, CB06/03 Instituto de Salud Carlos III, Madrid, Spain.
Azucena García-PalaciosDepartment of Basic and Clinical Psychology and Psychobiology, Jaume I University, Av. de Vicent Sos Baynat, s/n, 12071, Castellon de la Plana, Spain.

Funding

Universitat Jaume I POSDOC/2016/15Universitat Jaume I UJI-B2016-39
6 · The paper itself

Abstract

backgroundChronic pain has become a major health problem across the world, especially in older adults. Unfortunately, the effectiveness of medical interventions is modest. Some have argued that assessment strategies should be improved if the impact of medical interventions is to be improved. Ecological momentary assessment using smartphones is now considered the gold standard in monitoring in health settings, including chronic pain. However, to the best of our knowledge, there is no randomized controlled trial to show that telemonitoring using a smartphone app can indeed improve the effectiveness of medical treatments in adults with chronic pain. The goal of this study will be to explore the effects of using a smartphone app for telemonitoring adults with chronic pain.

methodsThe study will be a randomized controlled trial with three groups: treatment as usual (TAU), TAU+app, and TAU+app+alarms. All groups will receive the adequate treatment for their pain, which will be prescribed the first day of study according to clinical guidelines. Assessment in the TAU group will be the usual at the Pain Clinic, that is, a paper-and-pencil evaluation at the onset of treatment (beginning of study) and at follow up (end of study, 30 days later). The other two groups (TAU+app and TAU+app+alarms) will be assessed daily using Pain Monitor, a smartphone app developed by our multidisciplinary team. Telemonitoring will only be made in the TAU+app+alarms group. For this group, physicians at the Pain Clinic may decide to adjust pain treatment in response to alarms. Telemonitoring is not the usual practice at the Pain Clinic and will not occur in the other two groups (TAU and TAU+app), so no changes in treatment are expected in these groups after the first appointment. The total sample size will be 150, with 50 patients in each group. The assessment protocol will be the same in all groups and will include pain intensity and side effects of the medication (primary outcomes), together with several pain-related variables like pain interference, activity level, use of rescue medication, pain catastrophizing, and pain acceptance, among others. DISCUSSION: We believe that the present trial has important clinical implications. We think that telemonitoring using ecological momentary assessment is crucial to improve current interventions for pain. The armamentarium of available treatments for pain is large, so physicians can turn to different treatments or dosages in the presence of an undesired event. The use of the app for telemonitoring can allow for this rapid detection of unwanted events, thus improving patient safety (i.e., withdrawal of treatment causing side effects) and augmenting treatment effectiveness (i.e., changing an ineffective treatment or dosage). In a time when smartphones are a mainstream technology, we should take advantage of them in the promotion of health care.

trial registrationClinicalTrials.gov, NCT03247725 . Registered on 25 July 2017.

Indexed as

Mobile ApplicationsSmartphoneChronic PainHumansPain ManagementPain MeasurementRandomized Controlled Trials as TopicSpainTelemedicineTime FactorsTreatment OutcomeChronic painEcological momentary assessmentRandomized controlled trialSmartphone appTelemonitoring

Identifiers

PMID29482614
PMCPMC6389085

What OpenQuestion holds

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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.