The Pain Course: exploring predictors of clinical response to an Internet-delivered pain management program-Reference-Cited by-同舟云学术

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The Pain Course: exploring predictors of clinical response to an Internet-delivered pain management program

Published:2016-05-31 Issue:10 Volume:157 Page:2257-2268
ISSN:0304-3959
Container-title:Pain
language:en
Short-container-title:PAIN

Author:

Dear B.F.,Gandy M.,Karin E.,Ricciardi T.,Langman N.,Staples L.G.,Fogliati V.J.,Sharpe L.,McLellan L.F.,Titov N.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),Neurology

Reference48 articles.

1. Can pain be managed through the Internet? A systematic review of randomized controlled trials;Bender;PAIN,2011

2. Stepped care in psychological therapies: access, effectiveness and efficiency;Bower;Br J Psychiatry,2005

3. Model selection and multimodel inference: a practical information-theoretic approach;Burnham;Springer Science + Business Media,2002

4. Effective delivery styles and content for self-management interventions for chronic musculoskeletal pain: a systematic literature review;Carnes;Clin J Pain,2012

5. Mediators and moderators of chronic pain outcomes in an online self-management program;DasMahapatra;Clin J Pain,2015

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2. Predictors of improvement in community adolescents with chronic neck pain: A secondary analysis using different improvement criteria;PM&R;2024-02-28

3. Telemedicine for Patients with Musculoskeletal Pain Lacks High-Quality Evidence on Delivery Modes and Effectiveness: An Umbrella Review;Telemedicine and e-Health;2023-12-21

4. Examining predictors of treatment effect in digital Acceptance and Commitment Therapy for chronic pain;Cognitive Behaviour Therapy;2023-03-27

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