lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Prediktion av behandlingsutfall 3 år efter avslutad internetbehandling mot insomni
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.
2018 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesisAlternative title
Prediction of treatment outcome 3 years after internet delivered therapy for insomnia (English)
Abstract [sv]

Internetbaserad KBT är en behandlingsform som har visat god effekt vid insomni. Vården av personer med insomni skulle dock kunna förbättras av mer kunskap om faktorer som påverkar utfall på lång sikt. Föreliggande studie hade en explorativ ansats och syftet var att identifiera faktorer som kunde predicera behandlingsutfall vid 36-månadersuppföljning (FU36). Därutöver ämnade studien undersöka hur väl data insamlad innan behandlingen kunde predicera behandlingsutfall vid FU36 i jämförelse med data insamlad både innan och efter behandling. Behandlingsutfall definierades som förändring av insomnisymtom och grad av insomnisymtom vid FU36. Totalt inkluderades 203 deltagare från två olika behandlingsstudier, vilka genomgått 9–12 veckors insomnibehandling med eller utan kombinerad depressionsbehandling. Initiala korrelationer undersökte samband mellan prediktorer och utfallsmått, därefter genomfördes regressionsanalyser med de prediktorer som visade signifikanta samband. Resultaten påvisade att det var möjligt att predicera förändring och grad av insomnisymtom vid FU36. Prediktorer från data insamlad innan och efter behandling kunde predicera behandlingsutfall bäst och förklarade 33% av den totala variansen gällande förändring av insomnisymtom tre år efter avslutad behandling. Allvarligare grad av insomni vid behandlingsstart, förändring av insomnisymtom under behandlingen, hög ålder och missnöje vid utvärderingen kunde predicera insomnisymtom tre år efter avslutad behandling. Kliniskt kan detta innebära att patienter som riskerar sämre behandlingseffekt på lång sikt kan få bättre stöd.

Abstract [en]

Internet-based CBT is a treatment-form that has proved to be effective against insomnia.

Treatment of patients with insomnia could benefit from more knowledge about factors that affect long-term outcomes. The present study had an explorative design and the aim was to identify factors that could predict treatment outcomes at 36-month-follow-up (FU36). The study also made a comparison of predictive power regarding treatment outcomes between data gathered before treatment and data gathered both before and after treatment. Treatment outcomes were defined as change in insomnia symtoms and degree of insomnia symtoms at FU36. In total 203 participants were included from two different treatment studies, whom had received 9-12 weeks of insomnia treatment with or without combined treatment for depression. Initial correlations explored relationships between predictors and outcome measures, thereafter multiple regression analyses were done with the predictors that showed significant relationships. The results showed that it was possible to predict change and degree of insomnia symtoms at FU36. Predictors taken from data gathered before and after treatment had the most predictive power and explained 33% of the total variance of the change of insomnia symtoms at FU36. More insomnia symtoms at the beginning of treatment, change of insomnia symtoms during treatment, high age and a dissatisfaction of treatment were factors that were able to predict insomnia symtoms at FU36.

Place, publisher, year, edition, pages
2018. , p. 63
Keywords [en]
Insomnia, iCBT, Prediction, 36-Month-follow-up, Explorative, Regression
Keywords [sv]
Insomni, iKBT, prediktion, 36-månadersuppföljning, explorativ, regression
National Category
Medical and Health Sciences Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-75427OAI: oai:DiVA.org:lnu-75427DiVA, id: diva2:1215786
External cooperation
Karolinska Institutet
Subject / course
Psychology
Educational program
Psychologist Programme, 300 credits
Supervisors
Examiners
Projects
ClinicalTrials.gov Identifier: NCT01663844 New Clinical Applications for Internet-based Cognitive Behavior Therapy for Insomnia and DepressionAvailable from: 2018-06-11 Created: 2018-06-09 Last updated: 2018-06-11Bibliographically approved

Open Access in DiVA

fulltext(39139 kB)12 downloads
File information
File name FULLTEXT01.pdfFile size 39139 kBChecksum SHA-512
0c1e9ea76ce3b40a7e5312f2939a4b881351ef18532e4d8178272ee87b83fbe7947c72c1e0fac4b182c02381f5a1f40258ba4ff0589fde80a64f117f85bbe0f3
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Fältström, LeonardGlimmefors, Donny
By organisation
Department of Psychology
Medical and Health SciencesPsychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 12 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

urn-nbn

Altmetric score

urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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