The Study Interventions dataset includes information about each of [NUMBER] specific treatment arms that were studied in all [NUMBER] RCTs. Each study arm was coded to indicate the type of intervention or comparison condition. This dataset includes the study-level Study Class as well as individual variables for each category of treatment, coded as Yes or No for each arm. Study arm treatment category variables are as follows: Pharmacotherapy (as well as a subclass such as antidepressant, antianxiety, etc.); Psychotherapy (as well as a subclass to identify trauma-focused or non-trauma-focused therapy); Complementary and Integrative Health (CIH; as well as a subclass such as relaxation or meditation); Nonpharmacologic Biological; Nonpharmacologic Cognitive; Collaborative Care; Other Treatments; Control
The Study Intervention dataset also includes information on the format of the treatment (individual, group, couples, mixed); treatment delivery method (in person, by phone, by video, technology alone, technology assisted, written or mixed); dose or amount of treatment and, treatment completion and adherence. Use this dataset to learn about treatment studies of a particular type

Each record is an arm of the study, labeled as A, B, C, or D. Values abstracted as not applicable ("NA") or not reported ("NR") from the study are null values (empty cells).

Learn which PTSD treatments have been studied scientifically using randomized controlled trial (RCT) design.

The PTSD-Repository includes 496 studies. This story describes the participants in these clinical trials.

The Sample Characteristics dataset includes information on the participants who are included in the studies. This information is provided at the study level—meaning, data are not broken down into the specific treatment arms such as the intervention or control groups. Use this dataset if you want to learn more about the number of participants in the study; inclusion and exclusion criteria related to substance use and suicidality; baseline clinical characteristics such as PTSD severity, trauma type, military status, and comorbidities; and, basic demographic information such as age, gender or race for the sample as a whole (not individual participants). Visualizations made from this dataset will be based on the 496 RCTs included in the PTSD-Repository. Values reported as "NA" or not reported "NR" by the study are null values (empty cells). Data is at the study level.

This document contains brief descriptions of many of the treatments found in the PTSD-Repository, organized by treatment category.

Learn how to find data of interest and get started using the platform features of the PTSD-Repository.

This dataset provides within-arm results for dichotomous outcomes: loss of diagnosis and clinically meaningful response. Included is information on how loss of diagnosis and clinically meaningful response were defined as well as the percent of participants who achieved loss of PTSD diagnosis/clinically meaningful response Each treatment arm is presented on its own row. There are also separate rows for studies with more than one measure, time point and analysis type or when there is more than one definition of diagnostic change or clinically meaningful change.

This dataset provides between-arm results for dichotomous outcomes: loss of diagnosis and clinically meaningful response. Included is information on how loss of diagnosis and clinically meaningful response were defined, p-value for statistical test, and study-reported effect sizes.

Each comparison is on a separate row, and pairwise as well as omnibus (multi-arm) comparisons are included. There are also separate rows for studies with more than one measure, time point and analysis type or when there is with more than one definition of diagnostic change or clinically meaningful change.

This dataset provides results for between-arm comparisons of continuous measures. Included is information on score differences, p-value for statistical test, and study-reported effect sizes.

Where possible, the between-arm standardized effect size was calculated, using Hedges’ g. We calculated Hedges’ g based on the following (in order of preference): 1) adjusted mean difference; 2) follow-up scores; 3) unadjusted mean difference; 4) change scores. For the calculated effect size, information on the basis for calculation is included along with measures of variance. Negative values for Hedges’ g indicate a larger decrease (or lower follow-up score) in the first arm than in the second arm, while positive values indicate the reverse.

Each comparison is on a separate row, and pairwise as well as omnibus (multi-arm) comparisons are included. There are also separate rows for each measure, time point and analysis type.

This dataset provides within-arm results for continuous measures. Included is information on score means and variance, and pre-post comparisons (pre-post score difference, statistical test p-value, and study-reported effect sizes). Where possible, the within-arm standardized effect size (analog of Cohen’s d) was calculated. For the calculated effect size, negative values indicate a lower score at follow-up compared to baseline, while positive values indicate a higher score at follow-up. Each treatment arm is presented on its own row. There are also separate rows for studies with more than one measure, time point and analysis type.