| 1. |
- Andersson, Erik, et al.
(författare)
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d-Cycloserine vs Placebo as Adjunct to Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder and Interaction With Antidepressants A Randomized Clinical Trial
- 2015
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Ingår i: JAMA psychiatry. - : American Medical Association (AMA). - 2168-6238 .- 2168-622X. ; 72:7, s. 659-667
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Tidskriftsartikel (refereegranskat)abstract
- IMPORTANCE It is unclear whether D-cycloserine (DCS), a partial N-methyl-D-aspartate agonist that enhances fear extinction, can augment the effects of exposure-based cognitive behavioral therapy (CBT) for obsessive-compulsive disorder (OCD). OBJECTIVES To examine whether DCS augments the effects of CBT for OCD and to explore (post hoc) whether concomitant antidepressant medication moderates the effects of DCS. DESIGN, SETTING, AND PARTICIPANTS A 12-week, double-blind randomized clinical trial with 3-month follow-up conducted at an academic medical center between September 4, 2012, and September 26, 2013. Participants included 128 adult outpatients with a primary diagnosis of OCD and a Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score of 16 or higher. Concurrent antidepressant medication was permitted if the dose had been stable for at least 2 months prior to enrollment and remained unchanged during the trial. The main analysis was by intention-to-treat population. INTERVENTIONS All participants received a previously validated Internet-based CBT protocol over 12 weeks and were randomized to receive either 50 mg of DCS or placebo, administered 1 hour before each of 5 exposure and response prevention tasks. MAIN OUTCOMES AND MEASURES Clinician-administered Y-BOCS score at week 12 and at 3-month follow-up. Remission was defined as a score of 12 or lower on the Y-BOCS. RESULTS In the primary intention-to-treat analyses, DCS did not augment the effects of CBT compared with placebo (mean [SD] clinician-rated Y-BOCS score, DCS: 13.86 [6.50] at week 12 and 12.35 [7.75] at 3-month follow-up; placebo: 11.77 [5.95] at week 12 and 12.37 [6.68] at 3-month follow-up) but showed a significant interaction with antidepressants (clinician-rated Y-BOCS, B = -1.08; Z = -2.79; P = .005). Post hoc analyses revealed that antidepressants significantly impaired treatment response in the DCS group but not the placebo group, at both posttreatment and follow-up (clinician-rated Y-BOCS: t(62) = -3.00; P = .004; and t(61) = -3.49; P < .001, respectively). In the DCS group, a significantly greater proportion of antidepressant-free patients achieved remission status at follow-up (60% [95% CI, 45%-74%]) than antidepressant-medicated patients (24% [95% CI, 9%-48%]) (P = .008). Antidepressants had no effect in the placebo group (50% [95% CI, 36%-64%] remission rate in both groups). CONCLUSIONS AND RELEVANCE The findings suggest that antidepressants may interact with DCS to block its facilitating effect on fear extinction. Use of DCS may be a promising CBT augmentation strategy but only in antidepressant-free patients with OCD.
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| 2. |
- Andersson, Evelyn, et al.
(författare)
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Genetics of response to cognitive behavior therapy in adults with major depression : a preliminary report
- 2019
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Ingår i: Molecular Psychiatry. - : Nature Publishing Group. - 1359-4184 .- 1476-5578. ; 24:4, s. 484-490
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Tidskriftsartikel (refereegranskat)abstract
- Major depressive disorder is heritable and a leading cause of disability. Cognitive behavior therapy is an effective treatment for major depression. By quantifying genetic risk scores based on common genetic variants, the aim of this report was to explore the utility of psychiatric and cognitive trait genetic risk scores, for predicting the response of 894 adults with major depressive disorder to cognitive behavior therapy. The participants were recruited in a psychiatric setting, and the primary outcome score was measured using the Montgomery Asberg Depression Rating Scale-Self Rated. Single-nucleotide polymorphism genotyping arrays were used to calculate the genomic risk scores based on large genetic studies of six phenotypes: major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, intelligence, and educational attainment. Linear mixed-effect models were used to test the relationships between the six genetic risk scores and cognitive behavior therapy outcome. Our analyses yielded one significant interaction effect (B = 0.09, p < 0.001): the autism spectrum disorder genetic risk score correlated with Montgomery Asberg Depression Rating Scale-Self Rated changes during treatment, and the higher the autism spectrum disorder genetic load, the less the depressive symptoms decreased over time. The genetic risk scores for the other psychiatric and cognitive traits were not related to depressive symptom severity or change over time. Our preliminary results indicated, as expected, that the genomics of the response of patients with major depression to cognitive behavior therapy were complex and that future efforts should aim to maximize sample size and limit subject heterogeneity in order to gain a better understanding of the use of genetic risk factors to predict treatment outcome.
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| 3. |
- Blom, Kerstin, et al.
(författare)
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Psychological Treatment of Comorbid Insomnia and Depression : A Double-Blind Randomized Placebo-Controlled Trial
- 2024
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Ingår i: Psychotherapy and Psychosomatics. - : S. Karger. - 0033-3190 .- 1423-0348. ; 93:2, s. 100-113
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Insomnia and depression are highly prevalent disorders and commonly occur together. Cognitive behavioral therapy for insomnia, CBT-I, has been shown to be effective in treating insomnia and also comorbid depression. However, it is unclear whether effects of CBT-I on depression are specific or nonspecific. Also, depressive symptoms often remain too high after CBT-I, indicating a need for improved treatments. The objective was to determine whether combining CBT-I with CBT for depression, without increasing treatment length, reduces both insomnia and depression more than CBT for depression with a placebo insomnia intervention. Methods: A 12-week double-blind randomized controlled trial with a 6-month follow-up in a psychiatric setting using therapist-guided internet-delivered treatments was conducted. Patients (N = 126) were diagnosed with insomnia disorder and major depression by physicians. Primary outcome measures were as follows: self-rating scales Insomnia Severity Index (ISI) and Montgomery-angstrom sberg Depression Rating Scale (MADRS-S). Results: The combined treatment showed specific effects on insomnia severity over the control treatment (p = 0.007) but was not more effective in reducing depression severity. Within-group effects (Cohen's d) at post and at 6 months were as follows: ISI 1.40 and 1.42 (combined treatment), 0.95 and 1.00 (control); MADRS-S 0.97 and 1.12 (combined), 0.88 and 0.89 (control). Conclusions: CBT-I shows large specific effects on insomnia severity and is superior to control in this regard. Both treatments had similar effects on depression severity, i.e., combining CBT-I with CBT for depression did not enhance outcomes on depression compared to control. We suggest CBT-I should always be offered to patients with insomnia and depression comorbidity, possibly as the first-hand choice. Combining it with a psychological treatment for depression could be too burdening and may not be beneficial.
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| 4. |
- Boberg, Julia, et al.
(författare)
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Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)
- 2023
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Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 13:10
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data.Participants MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029.Findings to date Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase.Future plans The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.
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| 5. |
- El Alaoui, Samir, et al.
(författare)
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Predicting Outcome in Internet-Based Cognitive Behaviour Therapy for Major Depression : A Large Cohort Study of Adult Patients in Routine Psychiatric Care
- 2016
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:9
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Tidskriftsartikel (refereegranskat)abstract
- Background Although the effectiveness of therapist-guided internet-based cognitive behaviour therapy (ICBT) for treating depression has been well documented, knowledge of outcome predictors and risk factors associated with lower treatment response is limited, especially when the treatment has been conducted within a naturalistic clinical setting. Identification of such factors is important for clinicians when making treatment recommendations. Methods Data from a large cohort (N = 1738) of adult outpatients having been treated with ICBT for depression at an outpatient psychiatric clinic were analysed. A multilevel modelling approach was used to identify patient and treatment variables associated with the speed of recovery during treatment using weekly measurements of the Montgomery Asberg Depression Rating Scale Self-Rated (MADRS-S). Outcomes Adhering to the treatment, perceiving it as credible and working full-time emerged as predictors of a faster pace of recovery and were also associated with a lower level of depression at the end of treatment. Higher pre-treatment depression and sleep problems were associated with a greater improvement rate, but predicted higher depression after treatment. Having a history of psychotropic medication was associated with both slower improvement and higher post-treatment depression. Conclusion Perceived credibility of ICBT is a strong predictor of treatment response. Assessing patient beliefs and expectations may be a useful aid for clinicians when identifying those who are more or less likely to benefit from ICBT. Helping patients improve expectations prior to treatment may be an important goal for clinicians during the initial assessment phase.
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| 6. |
- Forsell, Erik, et al.
(författare)
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Development of a very brief scale for detecting and measuring panic disorder using two items from the Panic Disorder Severity Scale-Self Report
- 2019
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Ingår i: Journal of Affective Disorders. - : Elsevier. - 0165-0327 .- 1573-2517. ; 257, s. 615-622
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To minimize the burden in detecting and monitoring Panic Disorder and Agoraphobia by developing a very brief scale with selected items from the Panic Disorder Severity Scale-Self Report (PDSS-SR), and to investigate the proposed scale's psychometric properties in a comorbid sample. Methods: A sample of 5103 patients from the Internet Psychiatry Clinic in Sweden, diagnosed and treated with Internet-based cognitive behavioral therapy for panic disorder (n = 1390), social anxiety disorder (n = 1313) or depression (n = 2400), responded to the PDSS-SR. Six criteria related to factor structure, sensitivity to change and clinical representativeness were used to select items. Psychometric analyses for the selected very brief scale were performed. Results: Items 2 (distress during panic attacks) and 4 (agoraphobic avoidance), were selected to create the very brief PDSS-SR version. Correlations with the full scale were high at screening, pre and post, and for change (0.87-0.93). Categorical Omega was omega(c) = 0.74. With a cut-off of 3 points, the scale could detect panic disorder in a psychiatric sample with a sensitivity of 85% and a specificity of 66%. Limitations: Limitations include lack of healthy controls and lack of blinding on secondary outcome measures. Conclusion: The proposed 2-item PDSS-SR version is a good candidate for a very brief panic disorder questionnaire, both for detecting cases and for measuring change. This is especially useful in clinical settings when measuring more than one condition at a time.
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| 7. |
- Forsell, Erik, et al.
(författare)
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Proof of Concept for an Adaptive Treatment Strategy to Prevent Failures in Internet-Delivered CBT : A Single-Blind Randomized Clinical Trial With Insomnia Patients
- 2019
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Ingår i: American Journal of Psychiatry. - : American Psychiatric Association Publishing. - 0002-953X .- 1535-7228. ; 176:4, s. 315-323
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Tidskriftsartikel (refereegranskat)abstract
- Objective: This study aimed to demonstrate proof of concept for an adaptive treatment strategy in Internet-delivered cognitive-behavioral therapy (ICBT), where risk of treatment failure is assessed early in treatment and treatment for at-risk patients is adapted to prevent treatment failure. Methods: A semiautomated algorithm assessed risk of treatment failure early in treatment in 251 patients undergoing ICBT for insomnia with therapist guidance. At-risk patients were randomly assigned to continue standard ICBT or to receive adapted ICBT. The primary outcome was self-rated insomnia symptoms using the Insomnia Severity Index in a linear mixed-effects model. The main secondary outcome was treatment failure (having neither responded nor remitted at the posttreatment assessment). Results: A total of 102 patients were classified as at risk and randomly assigned to receive adapted ICBT (N=51) or standard ICBT (N=51); 149 patients were classified as not at risk. Patients not at risk had significantly greater score reductions on the Insomnia Severity Index than at-risk patients given standard ICBT. Adapted ICBT for at-risk patients was significantly more successful in reducing symptoms compared with standard ICBT, and it decreased the risk of failing treatment (odds ratio= 0.33). At-risk patients receiving adapted ICBT were not more likely to experience treatment failure than those not at risk (odds ratio= 0.51), though they were less likely to experience remission. Adapted treatment required, on average, 14 more minutes of therapist-patient time per remaining week. Conclusions: An adaptive treatment strategy can increase treatment effects for at-risk patients and reduce the number of failed treatments. Future studies should improve accuracy in classification algorithms and identify key factors that boost the effect of adapted treatments.
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| 8. |
- Gervind, Elisabet, et al.
(författare)
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The influence of organizational models on the implementation of internet-based cognitive behavior therapy in primary care: A mixed methods study using the RE-AIM framework
- 2024
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Ingår i: Internet Interventions. - : Elsevier. - 2214-7829. ; 35
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Tidskriftsartikel (refereegranskat)abstract
- Background: Internet-Based Cognitive Behavioral Therapy (iCBT) holds great potential in addressing mental health issues, yet its real-world implementation poses significant challenges. While prior research has predominantly focused on centralized care models, this study explores the implementation of iCBT in the context of decentralized organizational structures within the Swedish primary care setting, where all interventions traditionally are delivered at local Primary Care Centers (PCCs).Aim: This study aims to enhance our understanding of iCBT implementation in primary care and assess the impact of organizational models on the implementation's outcome using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework.Method: A mixed-methods research design was employed to identify the factors influencing iCBT implementation across different levels, involving patients, therapists and managers. Data spanning two years was collected and analyzed through thematic analysis and statistical tests. The study encompassed 104 primary care centers, with patient data (n = 1979) sourced from the Swedish National Quality Register for Internet-Based Psychological Treatment (SibeR). Additionally, 53 iCBT therapists and 50 PCC managers completed the Normalization Measure Development Questionnaire, and 15 leaders participated in interviews.Results: Our investigation identified two implementation approaches, one concentrated and one decentralized. Implementation effectiveness was evident through adherence rates suggesting that iCBT is a promising approach for treating mental ill-health in primary care, although challenges were observed concerning patient assessment and therapist drift towards unstructured treatment. Mandatory implementation, along with managerial and organizational support, positively impacted adoption. Results vary in terms of adherence to established protocols, with therapists working in concentrated model showing a significantly higher percentage of registration in the quality register SibeR (X2 (1, N = 2973) = 430.5774, p = 0.001). They also showed significantly higher means in cognitive participation (Z = - 2.179, p = 0.029) and in reflective monitoring (Z = - 2.548, p = 0.011). Discussion: Overall, the study results demonstrate that iCBT, as a complex and qualitatively different intervention from traditional psychological treatment, can be widely implemented in primary care settings. The study's key finding highlights the substantial advantages of the concentrated organizational model. This model has strengths in sustainability, encourages reflective monitoring among therapists, the use of quality registers, and enforces established protocols.Conclusion: In conclusion, this study significantly contributes to the understanding of the practical aspects associated with the implementation of complex internet interventions, particularly in the context of internetbased cognitive-behavioral therapy (iCBT). The study highlights that effective iCBT integration into primary care requires a multifaceted approach, taking into account organizational models, robust support structures, and a commitment to maintaining quality standards. By emphasizing these factors, our research aims to provide actionable insights that can enhance the practicability and real-world applicability of implementing iCBT in primary care settings.
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| 9. |
- Gervind, Elisabet, et al.
(författare)
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The transference of research results to practise: Organization and implementation outcomes of iCBT in primary care – a mixed methods study using the RE-AIM framework
- 2022
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Ingår i: SWESRII 2022.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Background: Healthcare systems all over the world are working in dynamic and resource-constrained contexts. Implementation science plays a critical role in ensuring that costly research results are implemented and improve public health. Implementation of iCBT in regular care has given mixed results and has rarely been documented on the basis of a scientific framework for implementation research. Aim: The overall aim of the present study is to contribute to knowledge about how iCBT can be implemented and organized in primary care. The current study also explores naturalistic variability in two different organizational formats, concentrated and decentralized. Method: A mixed quantitative-qualitative design was used to identify factors that impact the implementation of iCBT across multiple levels, including patient, therapists, leaders and organization. The scientific framework RE-AIM with the dimensions reach (those in the target group participating in the program), effectiveness (effects after completion of the program), adoption (actors who accept the program), implementation (compliance with the program according to protocol), maintenance (sustainability over time) was used to evaluate the implementation. Results: 104 primary care centres participated in the study. Outcomes on patient-data (n=1979) were gathered between 2018 and 2021 from the quality register SibeR. Fifty-four iCBT-therapists, answered the NoMAD-questionnaire and fifteen leaders were interviewed. The materials are currently being analysed.
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| 10. |
- Hedman, Erik, et al.
(författare)
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Telephone vs. Internet-administration of self-report measures of social anxiety, depressive symptoms, and insomnia : psychometric validation of a method to reduce the impact of missing data
- 2013
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Ingår i: Journal of Medical Internet Research. - : JMIR. - 1438-8871. ; 15:10, s. 1-8
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Tidskriftsartikel (refereegranskat)abstract
- Background: Internet-administered self-report measures of social anxiety, depressive symptoms, and sleep difficulties are widely used in clinical trials and in clinical routine care, but data loss is a common problem that could render skewed estimates of symptom levels and treatment effects. One way of reducing the negative impact of missing data could be to use telephone administration of self-report measures as a means to complete the data missing from the online data collection.Objective: The aim of the study was to compare the convergence of telephone and Internet administration of self-report measures of social anxiety, depressive symptoms, and sleep difficulties.Methods: The Liebowitz Social Anxiety Scale-Self-Report (LSAS-SR), Montgomery-Åsberg Depression Rating Scale-Self-Rated (MADRS-S), and the Insomnia Severity Index (ISI) were administered over the telephone and via the Internet to a clinical sample (N=82) of psychiatric patients at a clinic specializing in Internet-delivered treatment. Shortened versions of the LSAS-SR and the ISI were used when administered via telephone.Results: As predicted, the results showed that the estimates produced by the two administration formats were highly correlated (r=.82-.91; P<.001) and internal consistencies were high in both administration formats (telephone: Cronbach alpha=.76-.86 and Internet: Cronbach alpha=.79-.93). The correlation coefficients were similar across questionnaires and the shorter versions of the questionnaires used in the telephone administration of the LSAS-SR and ISI performed in general equally well compared to when the full scale was used, as was the case with the MADRS-S.Conclusions: Telephone administration of self-report questionnaires is a valid method that can be used to reduce data loss in routine psychiatric practice as well as in clinical trials, thereby contributing to more accurate symptom estimates.
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