Predictors of prolonged grief in an internet-based grief therapy for people bereaved by suicide

Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome

To our knowledge, no systematic review has been conducted on predictors or moderators of treatment outcome across diagnoses in guided internet-based interventions (IBIs) for adults. To identify who benefits from this specific format and therein inform future research on improving patient-treatment fit, we aimed to aggregate results of relevant studies. 2100 articles, identified by searching the databases PsycInfo, Ovid Medline, and Pubmed and through snowballing, were screened in April/May 2021 and October 2022. Risk of bias and intra- and interrater reliability were assessed. Variables were grouped by predictor category, then synthesized using vote counting based on direction of effect. N = 60 articles were included in the review. Grouping resulted in 88 predictors/moderators, of which adherence, baseline symptoms, education, age, and gender were most frequently assessed. Better adherence, treatment credibility, and working alliance emerged as conclusive predictors/moderators for better outcome, whereas higher baseline scores predicted more reliable change but higher post-treatment symptoms. Results of all other predictors/moderators were inconclusive or lacked data. Our review highlights that it is currently difficult to predict, across diagnoses, who will benefit from guided IBIs. Further rigorous research is needed to identify predictors and moderators based on a sufficient number of studies. PROSPERO registration: CRD42021242305.

Linguistic predictors of symptom change in an internet-based cognitive behavioural intervention for prolonged grief symptoms

This study investigates linguistic predictors of reduction in prolonged grief symptoms following a writing intervention in an internet-based cognitive behavioural therapy for people bereaved by cancer. Data stem from a randomized control clinical trial with 70 people. The Linguistic Inquiry and Word Count program was used to analyse patient language. Absolute change scores and reliable change index were used to calculate reduction in grief symptoms and clinical significant change. Best subset regression and Mann-Whitney U tests were conducted. A higher reduction of prolonged grief symptoms was correlated with more social words in the first module (β = -.22, p = .042), less risk (β = .33, p = .002) and body words (β = .22, p = .048) in the second module and more time words in the third module (β = -.26, p = .018). Patients with clinically significant change showed a higher median in function words in the first module (p = .019), a lower median in risk words in the second module (p = .019) and a higher median in assent words in the last module (p = .014) compared to patients without clinically significant change. Findings suggest that it may be beneficial for therapists to encourage a more detailed description of patients' relationship with their deceased relative during the first module, a change in perspective during the second module and a summary of past, present and future aspects at the end of therapy. Future studies should include mediation analyses to allow causal attribution of the studied effects.

Online-Trauertherapie für Suizid-Hinterbliebene

Fast ein Viertel der Bevölkerung ist im Laufe des Lebens in irgendeiner Form von einem Suizid betroffen. Hinterbliebene von Suizidopfern kämpfen im Vergleich zu Trauernden bei anderen Todesursachen oftmals mit mehr Schuld, Scham und Stigmatisierung. Eine Behandlung mit einer internetbasierten-kognitiv-verhaltenstherapeutischen Trauertherapie (IKVTT) kann anhaltende Trauer eindämmen. Welche Faktoren beeinflussen aber die Behandlungsergebnisse?