Love yourself as a therapist, doubt yourself as an institution? Therapist and institution effects on outcome, treatment length, and dropout.

OBJECTIVE: Research suggests that some therapists achieve better outcomes than others. However, an overlooked area of study is how institution differences impact patient outcomes independent of therapist variance. This study aimed to examine the role of institution and therapist differences in adult outpatient psychotherapy. METHOD: The study included 1428 patients who were treated by 196 therapists at 10 clinics. Two- and three-level hierarchical linear regression models were employed to investigate the effects of therapists and institutions on three dependent patient variables: (1) symptom change, (2) treatment duration, and (3) dropout. Level three explanatory variables were tested. RESULTS: The results showed that therapist effects (TE) were significant for all three types of treatment outcome (7.8%-18.2%). When a third level (institution) was added to the model, the differences between therapists decreased, and significant institution effects (IE) were found: 6.3% for symptom change, 10.6% for treatment duration, and 6.5% for dropout. The exploratory analyses found no predictors able to explain the systematic variation at the institution level. DISCUSSION: TE on psychotherapy outcomes remain a relevant factor but may have been overestimated in previous studies due to not properly distinguishing them from differences at the institution level.

Sex and gender differences in risk factors for posttraumatic stress disorder: A systematic review and meta-analysis of prospective studies.

Women are at higher risk than men for developing posttraumatic stress disorder (PTSD), but underlying mechanisms are still unclear. Comprehensive knowledge about these mechanisms is necessary to develop tailored, sex- and gender-sensitive preventive interventions. This systematic review and meta-analysis examined sex-/gender-dependent risk factors, that is, risk factors with sex/gender differences in (a) vulnerability or (b) prevalence/severity, as well as sex-/gender-specific risk factors, that is, and (c) risk factors present in one sex/gender only. We searched PubMed, Web of Science, PsycINFO, PsycArticles, and PSYNDEX for articles published until October 16, 2022. We included prospective studies that assessed risk factors to predict subsequent PTSD symptom severity, as measured with the Clinician-Administered PTSD scale. The primary outcomes were sex/gender stratified pooled for sex-/gender-dependent vulnerability and sex-/gender-specific risk factors and pooled odds ratio (OR) or standardized mean difference (SMD) for sex-/gender-dependent risk factor prevalence/severity. We screened 17,270 records and included 117 reports from 45 studies (N = 13,752) in the systematic review. Seventeen studies (N = 4,257; 1,827 women, 2,430 men) were included in the meta-analysis. Regarding risk factor vulnerability, analyses revealed no significant sex/gender differences except for acute stress symptoms, with stronger associations for men (b = 0.11, SE = 0.06, p < .05). Regarding risk factor prevalence/severity, women reported more severe immediate psychological stress responses (range SMD = 0.23-0.56) and more commonly had a history of mental illness (OR = 1.81, 1.27-2.58). Men showed higher trauma load (SMD = -0.15, -0.29 to 0.01). Few women-specific and no men-specific factors were identified. Results suggest that women's heightened immediate psychological stress response drives sex/gender disparities in PTSD symptom severity. Preventive interventions should thus target women early after trauma. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Higher risk-less data: A systematic review and meta-analysis on the role of sex and gender in trauma research.

Women and men are at different risk for posttraumatic stress disorder (PTSD). It is unclear, however, how studies on PTSD risk factors integrate this knowledge into their research. Moreover, the temporal development of women's higher PTSD risk is unknown. In this systematic review and meta-analysis, we examine how prospective studies on PTSD development (k = 47) consider sex and gender across four domains (samples, terminology, analyses, and reporting). Further, we differentially analyze sex/gender differences within five time intervals from 1 month to 5 years posttrauma. PTSD prevalence (OR = 1.72 [1.27-2.34]) and severity (g = 0.31 [0.09, 0.53]) were increased for women relative to men at 1 month posttrauma already, that is, at the first timepoint of a possible PTSD diagnosis. PTSD severity was elevated for women compared to men across all time intervals, but evidence for increased PTSD prevalence for women relative to men was less stable with longer follow-ups. Despite women's higher PTSD burdens, they were clearly underrepresented in samples (68.3% male, 31.7% female participants). Only 5.0% of studies explained or described their understanding of sex and gender, and only 2.6% used sex as discovery variable, that is, investigating sex-dependent risk mechanisms. Sex and gender aspects in design, data, and discussion were considered by only one-third of studies each. Trauma research falls short of its potential to adequately consider sex and gender. Sex- and gender-sensitive practices can advance rigor, innovation, and equity in psychopathology research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

We don't know what you did last summer. On the importance of transparent reporting of reaction time data pre-processing.

In behavioral, cognitive, and social sciences, reaction time measures are an important source of information. However, analyses on reaction time data are affected by researchers' analytical choices and the order in which these choices are applied. The results of a systematic literature review, presented in this paper, revealed that the justification for and order in which analytical choices are conducted are rarely reported, leading to difficulty in reproducing results and interpreting mixed findings. To address this methodological shortcoming, we created a checklist on reporting reaction time pre-processing to make these decisions more explicit, improve transparency, and thus, promote best practices within the field. The importance of the pre-processing checklist was additionally supported by an expert consensus survey and a multiverse analysis. Consequently, we appeal for maximal transparency on all methods applied and offer a checklist to improve replicability and reproducibility of studies that use reaction time measures.