Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Internet interventions for chronic pain including headache: A systematic review
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences.
2016 (English)In: Internet Interventions, ISSN 2214-7829, Vol. 4, 17-34 p.Article in journal (Refereed) Published
Abstract [en]

Chronic pain is a major health problem and behavioral based treatments have been shown to be effective. However, the availability of these kinds of treatments is scarce and internet-based treatments have been shown to be promising in this area. The objective of the present systematic review is to evaluate internet-based interventions for persons with chronic pain. The specific aims are to do an updated review with a broad inclusion of different chronic pain diagnoses and to assess disability and pain and also measures of catastrophizing, depression and anxiety. A systematic search identified 891 studies and 22 trials were selected as eligible for review. Two of the selected trials included children/youth and five included individuals with chronic headache and/or migraine. The most frequently measured domain reflected in the primary outcomes was interference/disability, followed by catastrophizing. Result across the studies showed a number of beneficial effects. Twelve trials reported significant effects on disability/interference outcomes and pain intensity. Positive effects were also found on psychological variable such as catastrophizing, depression and anxiety. Several studies (n = 12) were assessed to have an unclear level of risk bias. The attrition levels ranged from 4% to 54% where the headache trials had the highest drop-out levels. However, findings suggest that internet-based treatments based on cognitive behavioural therapy (CBT) are efficacious measured with different outcome variables. Results are in line with trials in clinical settings. Meta-analytic statistics were calculated for interference/disability, pain intensity, catastrophizing and mood ratings. Results showed that the effect size for interference/disability was Hedge's g = − 0.39, for pain intensity Hedge's g = − 0.33, for catastrophizing Hedge's g = − 0.49 and for mood variables (depression) Hedge's g = − 0.26.

Place, publisher, year, edition, pages
2016. Vol. 4, 17-34 p.
Keyword [en]
chronic pain, internet, cognitive behavioral therapy
National Category
Psychology
Identifiers
URN: urn:nbn:se:uu:diva-284152DOI: 10.1016/j.invent.2015.12.001OAI: oai:DiVA.org:uu-284152DiVA: diva2:919912
Available from: 2016-04-15 Created: 2016-04-15 Last updated: 2017-11-30Bibliographically approved

Open Access in DiVA

fulltext(599 kB)93 downloads
File information
File name FULLTEXT01.pdfFile size 599 kBChecksum SHA-512
8f6a35ec48876a70a97df0339c046e334bf3a17feaee6dc5e91888fb7e28b0bbdd6048e6a8fe0b0fe261c5b3d1ac4e5c9b502f9d951cb9c703fe66171d193539
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Buhrman, MonicaGordh, Torsten
By organisation
Department of PsychologyDepartment of Surgical Sciences
In the same journal
Internet Interventions
Psychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 93 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 365 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf