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Sökning: WFRF:(Ben Abdesslem Fehmi) > (2020) > Predicting Treatmen...

Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures

Forsell, Erik (författare)
Karolinska Institutet
Isacsson, Nils (författare)
Karolinska Institutet
Blom, Kerstin (författare)
Karolinska Institutet
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Jernelov, Susanna (författare)
Karolinska Institutet
Ben Abdesslem, Fehmi (författare)
Karolinska Institutet,RISE,SICS,RISE, Sweden
Lindefors, Nils (författare)
Karolinska Institutet
Boman, Magnus (författare)
Karolinska Institutet,KTH,Programvaruteknik och datorsystem, SCS,KTH Royal Institute of Technology, Sweden
Kaldo, Viktor, Professor (författare)
Linnéuniversitetet,Institutionen för psykologi (PSY),Karolinska Institutet, Sweden;Stockholm County Council, Sweden,DISA-IDP;DISA,Karolinska Inst, Ctr Psychiat Res, Dept Clin Neurosci, Internetpsykiatrienheten M58, S-14120 Stockholm, Sweden.;Stockholm Hlth Care Serv, Internetpsykiatrienheten M58, S-14120 Stockholm, Sweden.;Linnaeus Univ, Dept Psychol, Fac Hlth & Life Sci, Vaxjo, Sweden.
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 (creator_code:org_t)
2020-04
2020
Engelska.
Ingår i: Journal of Consulting and Clinical Psychology. - : American Psychological Association (APA). - 0022-006X .- 1939-2117. ; 88:4, s. 311-321
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Objective: Therapist guided Internet-Delivered Cognitive Behavior Therapy (ICBT) is effective, but as in traditional CBT, not all patients improve, and clinicians generally fail to identify them early enough. We predict treatment failure in 12-week regular care ICBT for Depression, Panic disorder and Social anxiety disorder, using only patients' weekly symptom ratings to identify when the accuracy of predictions exceed 2 benchmarks: (a) chance, and (b) empirically derived clinician preferences for actionable predictions. Method: Screening, pretreatment and weekly symptom ratings from 4310 regular care ICBT-patients from the Internet Psychiatry Clinic in Stockholm, Sweden was analyzed in a series of regression models each adding 1 more week of data. Final score was predicted in a holdout test sample, which was then categorized into Success or Failure (failure defined as the absence of both remitter and responder status). Classification analyses with Balanced Accuracy and 95% Confidence intervals was then compared to predefined benchmarks. Results: Benchmark 1 (better than chance) was reached 1 week into all treatments. Social anxiety disorder reached Benchmark 2 (>65%) at week 5, whereas Depression and Panic Disorder reached it at week 6. Conclusions: For depression, social anxiety and panic disorder, prediction with only patient-rated symptom scores can detect treatment failure 6 weeks into ICBT, with enough accuracy for a clinician to take action. Early identification of failing treatment attempts may be a viable way to increase the overall success rate of existing psychological treatments by providing extra clinical resources to at-risk patients, within a so-called Adaptive Treatment Strategy.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Nyckelord

cognitive behavior therapy
ehealth
Internet interventions
treatment failure
prediction
Psychology
Psykologi

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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