Cited by 172Musculoskeletal pain and rehabilitationDigital Mental Health InterventionsPain Management and Treatment

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A randomized controlled evaluation of an online chronic pain self management program

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Ruehlman, Linda S., Karoly, Paul, Enders, Craig·2012·Pain

DOI 10.1016/j.pain.2011.10.025PMC PMC3514416

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Abstract

Internet-based educational and therapeutic programs (e-health applications) are becoming increasingly popular for a variety of psychological and physical disorders. We tested the efficacy of an online Chronic Pain Management Program, a comprehensive, fully self-directed and self-paced system that integrates social networking features and self-management tools into an interactive learning environment. Of 305 adult participants (196 women, 109 men), a total of 162 individuals with chronic pain were randomly assigned unsupervised access to the program for approximately 6 weeks; 143 were assigned to the wait-listed control group with treatment as usual. A comprehensive assessment was administered before the study and approximately 7 and 14 weeks thereafter. All recruitment, data collection, and participant involvement took place online. Participation was fully self-paced, permitting the evaluation of program effectiveness under real-world conditions. Intent-to-treat analysis that used linear growth models was used as the primary analytic tool. Results indicated that program utilization was associated with significant decreases in pain severity, pain-related interference and emotional burden, perceived disability, catastrophizing, and pain-induced fear. Further, program use led to significant declines in depression, anxiety, and stress. Finally, as compared to the wait-listed control group, the experimental group displayed a significant increase in knowledge about the principles of chronic pain and its management. Study limitations are considered, including the recognition that not all persons with chronic pain are necessarily good candidates for self-initiated, self-paced, interactive learning.

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Additional file 2 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767515
Additional file 7 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767530
Additional file 3 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767518
Additional file 4 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767521
Additional file 6 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767527
Additional file 5 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767524
Additional file 1 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22767512
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Authors: Ruehlman, L. S., Karoly, P., & Enders, C.
Affiliations: Goalistics (US)
Arizona State University (US)
Corresponding author: Ruehlman, Linda S.
ORCID: Ruehlman, Linda S.
Karoly, Paul
Enders, Craig
Venue: Pain
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2012-02
Volume: 153
Issue: 2
Pages: 319-330
ISSN: 0304-3959 (ISSN-L)
DOI: 10.1016/j.pain.2011.10.025
PMC: PMC3514416
OpenAlex: W2013030216
Semantic Scholar: 65cbfec304942739a85e6107407cdfdc1a0bbf85
Cited by: 172
References: 47
Citations by year: 2026: 8 · 2025: 7 · 2024: 9 · 2023: 14 · 2022: 20 · 2021: 7 · 2020: 15 · 2019: 17 · 2018: 11 · 2017: 11 · 2016: 12 · 2015: 15 · 2014: 13 · 2013: 8 · 2012: 4
FWCI: 9.41
Type: journal article
Language: en
Open access: green
europepmc.org
Locations: Pain (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute of Neurological Disorders and Stroke (R44NS048743)
Topics: Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
Keywords: chronic pain, self-management, e-health, online intervention, pain catastrophizing, fear of pain, depression, anxiety, stress, pain knowledge, social networking, self-paced learning, program utilization
MeSH terms: Adult, Aged, Computer-Assisted Instruction, Female, Humans, Male, Middle Aged, Online Systems, Self Care, Software, Cognitive Behavioral Therapy, Treatment Outcome, Young Adult, Chronic Pain

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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A randomized controlled evaluation of an online chronic pain self management program

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

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