ArticlePain reports
Willingness to use nonpharmacologic treatments for musculoskeletal pain in the emergency department: a cross-sectional study.
Article in Pain reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Participant experiences receiving acupuncture for acute musculoskeletal pain in an emergency department: A qualitative evaluation.PloS one · 2025Trial
- Exploring the Role of a Noninvasive Audio-Based Therapeutic System for Pain and Symptom Relief: Single-Arm Exploratory Pilot Study.JMIR formative research · 2026Observational
- Review
- Article
- Older Adults' Perspectives on Deprescribing and Non-Pharmacological Pain Management in the Deep South.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025Article
- Article
- Acceptability and Barriers to Chronic Pain Treatment in Refugee Torture Survivors.JAMA network open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Pain is an individual experience that should incorporate patient-centered care. This study seeks to incorporate patient perspectives toward expanding nonpharmacologic treatment options for pain from the emergency department (ED). Methods: In this cross-sectional study of adult patients in ED with musculoskeletal neck, back, or extremity pain, patient-reported outcomes were collected including willingness to try and prior use of various nonpharmacologic pain treatments, sociodemographics, clinical characteristics, functional outcomes, psychological distress, and nonmusculoskeletal symptoms. Least absolute shrinkage and selection operator regression identified variables associated with (1) willingness to try and (2) having previously tried nonpharmacologic treatments. Results: Responses were analyzed from 206 adults, with a mean age of 45.4 (SD 16.4) years. The majority (90.3%) of patients in ED were willing to try at least one form of nonpharmacologic pain treatment, with 70.4%, 81.6%, and 70.9% willing to try respective subcategories of active (eg, exercise), passive (eg, heat), and psychosocial (eg, prayer) modalities. Only 56.3% of patients had previously tried any, with 35.0%, 52.4%, and 41.3% having tried active, passive, and psychosocial modalities, respectively. Patient-level factors associated with willingness included pain in upper back, more severe pain-related symptoms, and functional impairments. The factor most consistently associated with treatment use was health care provider encouragement to do so. Conclusions: Patients in ED report high willingness to try nonpharmacologic treatments for pain. Higher pain severity and interference may indicate greater willingness, while health care provider encouragement correlated with treatment use. These findings may inform future strategies to increase the introduction of nonpharmacologic treatments from the ED.
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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.