0000000000541217
AUTHOR
Pim Cuijpers
A guided Internet-delivered intervention for adjustment disorders
© 2020 John Wiley & Sons, Ltd.Evidence of self-help interventions for adjustment disorder (AjD) is limited. This study aims at testing in a randomized controlled trial (RCT) the effectiveness of a disorder-specific, Internet-delivered cognitive–behavioural therapy (ICBT) intervention for AjD. Participants were randomly allocated to either an ICBT with brief weekly telephone support (n = 34) or a waiting list group (n = 34). Beck's inventories for depression and anxiety were used as primary outcomes. The secondary outcomes were AjD symptoms, post-traumatic growth, positive and negative affect, and quality of life. In all, 76.5% of the participants completed the intervention. Compared with th…
Individual participant data systematic reviews with meta-analyses of psychotherapies for borderline personality disorder
IntroductionThe heterogeneity in people with borderline personality disorder (BPD) and the range of specialised psychotherapies means that people with certain BPD characteristics might benefit more or less from different types of psychotherapy. Identifying moderating characteristics of individuals is a key to refine and tailor standard treatments so they match the specificities of the individual participant. The objective of this is to improve the quality of care and the individual outcomes. We will do so by performing three systematic reviews with meta-analyses of individual participant data (IPD). The aim of these reviews is to investigate potential predictors and moderating patient chara…
Efficacy and cost-effectiveness of guided and unguided internet- and mobile-based indicated transdiagnostic prevention of depression and anxiety (ICare Prevent):A three-armed randomized controlled trial in four European countries
Background Depression and anxiety are highly prevalent and often co-occur. Several studies indicate the potential of disorder-specific psychological interventions for the prevention of each of these disorders. To treat comorbidity, transdiagnostic treatment concepts seem to be a promising approach, however, evidence for transdiagnostic concepts of prevention remains inconclusive. Internet- and mobile-based interventions (IMIs) may be an effective means to deliver psychological interventions on a large scale for the prevention of common mental disorders (CMDs) such as depression and anxiety. IMIs have been shown to be effective in treating CMDs, e.g. in reducing symptoms of depression and an…
Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores:An individual participant data meta-analysis of 73 primary studies
Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…
Advancing psychotherapy and evidence-based psychological interventions
Psychological models of mental disorders guide research into psychological and environmental factors that elicit and maintain mental disorders as well as interventions to reduce them. This paper addresses four areas. (1) Psychological models of mental disorders have become increasingly transdiagnostic, focusing on core cognitive endophenotypes of psychopathology from an integrative cognitive psychology perspective rather than offering explanations for unitary mental disorders. It is argued that psychological interventions for mental disorders will increasingly target specific cognitive dysfunctions rather than symptom-based mental disorders as a result. (2) Psychotherapy research still lack…
Individual participant data systematic reviews with meta-analyses of psychotherapies for borderline personality disorder: A protocol
AbstractIntroductionThe heterogeneity in people with BPD and the range of specialised psychotherapies means that people with certain BPD characteristics might benefit more or less from different types of psychotherapy. Identifying moderating characteristics of individuals is a key to refine and tailor standard treatments so they match the specificities of the individual patient. The objective of this is to improve the quality of care and the individual outcomes. Thus, the aim of the current reviews is to investigate potential predictors and moderating patient characteristics on treatment outcomes for patients with BPD.Methods and analysisOur primary meta-analytic method will be the one-stag…
Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.
Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major…
Efficacy of a between-session homework component delivered digitally for the treatment of adjustment disorders: Results from a pilot randomized clinical trial
Background: Adjustment Disorder (AjD) is one of the most frequently diagnosed mental disorders worldwide. However, there is still no treatment of choice for this problem. One of the first treatment programs specifically designed for AjD is the one presented in this study, a CBT protocol that uses Virtual Reality (VR) to improve patients’ adherence. Another key aspect to improve treatment outcomes is the use of between-sessions homework. However, little is known about how to increase patient engagement with these tasks. The use of Information and Communication Technologies (ICTs) can help patients to see homework as less demanding and provides greater flexibility. A previous study tested the…