Evidence map›Paper›PMID 25899795›Full record

ArticleDisability and health journal2015

Utilization and patients' perceptions of the effectiveness of pain treatments in multiple sclerosis: A cross-sectional survey.

Dawn M Ehde, Kevin N Alschuler, Travis L Osborne, Marisol A Hanley, Mark P Jensen, George H Kraft

Registry-linked trialAbstract read
In one paragraph

Article in Disability and health journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03782246 (Mindfulness-based Cognitive Therapy and Cognitive Behavioral Therapy for Chronic Pain in Multiple Sclerosis), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 17% 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.

NCT03782246 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Mindfulness-based Cognitive Therapy and Cognitive Behavioral Therapy for Chronic Pain in Multiple Sclerosis

TypeinterventionalSponsorUniversity of WashingtonRan2018 to 2022Enrolled273ConditionsMultiple SclerosisArmsMBCT, CBT
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Trends in central nervous system-active polypharmacy among people with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  4. Prescription opioid use in multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2023
    Article
  5. The DQB1Frontiers in neurology · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 1 institution in 1 country.

Dawn M EhdeDepartment of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA, USA. Electronic address: ehde@uw.edu.
Kevin N AlschulerDepartment of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Travis L OsborneEvidence Based Treatment Centers of Seattle, Seattle, WA, USA.
Marisol A HanleyRiver Valley Psychological Services, Issaquah, WA, USA.
Mark P JensenDepartment of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA, USA.
George H KraftDepartment of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA, USA.
University of Washington · US

Funding

SURVEY AND LONGITUDINAL STUDIES OF SECONDARY PAINP01HD033988 · NICHD · UNIVERSITY OF WASHINGTON · PI JENSEN, MARK P · 1996 to 2006
$4.8M
Efficacy of Telephone-Delivered Cognitive Behavioral Therapy for Chronic PainR01HD057916 · NICHD · UNIVERSITY OF WASHINGTON · PI EHDE, DAWN M. · 2008 to 2012
$2.1M
NICHD NIH HHS P01 HD033988NICHD NIH HHS P01 HD33988NICHD NIH HHS R01 HD057916
6 · The paper itself

Abstract

backgroundAlthough chronic pain is common among persons with multiple sclerosis (MS), little is known about the utilization and patients' perception of the effectiveness of pain treatments in MS.

objectivesThe objectives were to: (1) identify specific treatments currently used for pain relief by adults with MS; (2) examine patients' perceptions of the effectiveness of each of these treatments; and (3) examine rates of health care utilization, specifically provider and emergency department visits, for pain.

designCross-sectional survey.

methodsOne hundred twenty-five community-dwelling participants with MS and pain completed a postal survey that measured demographics, MS disease, pain, pain treatments, perceived effectiveness of treatments, and health care utilization.

resultsThe majority (89.6%) of the sample reported use of a variety of and multiple pain treatments (range = 1-19, median = 9.0, mean = 9.0, SD = 4.2); few were rated as providing pain relief. Non-prescription pain relievers were the most commonly reported treatment. Physical treatment modalities were also common. The treatments that were reported by patients to provide the greatest pain relief, such as hypnosis, nerve blocks, and marijuana, were not those that were the most frequently used. Overall, 75% reported at least one visit to a provider for pain in the past six months; participants made, on average, 9.7 visits for pain during this same time period. Emergency department visits explicitly for pain were reported by 11% of respondents.

conclusionsThese findings suggest that pain is inadequately treated from the perspective of persons with MS and results in a high level of health care utilization.

Indexed as

Attitude to HealthPainPain ManagementPatient Acceptance of Health CarePersons with DisabilitiesAdultAnalgesiaCross-Sectional StudiesEmergency Service, HospitalFemaleHealth SurveysHumansMaleMiddle AgedMultiple SclerosisPerceptionChronic painHealth care deliveryMultiple sclerosisPain

Identifiers

PMID25899795
PMCPMC4464976
OpenAlexW2031858594

What OpenQuestion holds

Textmetadata
LicenceTDM
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.