Evidence map›Paper›PMID 38592366›Full record

ArticleJournal of patient-reported outcomes2024

Exploring the effects of fitbit incentive on treatment outcomes in veterans undergoing intensive pain rehabilitation program.

Tiffany Toor, Sarah Palyo, Kathryn Schopmeyer, Alan N Simmons, Irina A Strigo

Open access · goldAbstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 2 institutions in 1 country.

Tiffany ToorDepartment of Veterans Affairs (VA) San Francisco Healthcare System, San Francisco, CA, USA. Tiffany.Toor@ucsf.edu.ORCID 0000-0002-2867-8601
Sarah PalyoDepartment of Veterans Affairs (VA) San Francisco Healthcare System, San Francisco, CA, USA.
Kathryn SchopmeyerDepartment of Veterans Affairs (VA) San Francisco Healthcare System, San Francisco, CA, USA.
Alan N SimmonsDepartment of Veterans Affairs (VA), San Diego Healthcare System, San Diego, CA, USA.
Irina A StrigoDepartment of Veterans Affairs (VA) San Francisco Healthcare System, San Francisco, CA, USA.
San Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back PainU19AR076737 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MEHLING, WOLF E · 2019 to 2023
$34.1M
The role of expectation in the pain-trauma co-morbidity among VeteransI01CX000816 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI STRIGO, IRINA A · 2014 to 2025
–
CSRD VA I01 CX000816NIAMS NIH HHS U19 AR076737NIAMS NIH HHS U19AR076737
6 · The paper itself

Abstract

objectiveThis study compares clinical pain outcomes between patients in a pain treatment program that received a Fitbit, to patients that did not. We also explored: (1) cognitive, emotional, and psychological factors that may have impacted the decision to opt in to receiving a Fitbit; and (2) whether the choice to receive a Fitbit impacted changes in cognitive, emotional, and psychological factors following treatment.

methodsAmong 58 patients in a multidisciplinary pain treatment program at a Veterans Affairs Healthcare System hospital, 31 patients opted to receive a Fitbit as adjunct treatment, while 27 did not. This study utilized patient-reported and practitioner-collected data from the pain treatment program.

resultsCompared to the non-Fitbit group, the Fitbit group displayed a significant decrease in average pain intensity, however showed no correlation between Fitbit activity and average pain intensity. Additionally, treatment satisfaction was the only predictor of treatment group, when modeling pre- and post-treatment outcomes changes.

conclusionThe implementation of a Fitbit may lead to improved pain intensity. Initial evidence suggests that opting to receive a Fitbit during a pain treatment program indicates treatment engagement leading to greater treatment satisfaction. Future work is needed to verify and expand upon this potential mechanism.

Indexed as

MotivationVeteransHumansPainPain ManagementTreatment OutcomeChronic painFitbitPain treatmentPatient satisfactionTreatment satisfactionVeteranWearable electronic devices

Identifiers

PMID38592366
PMCPMC11003939
OpenAlexW4394619187

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.