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).

Each study in the PTSD-Repository was coded for risk of bias (ROB) in specific domains as well as an overall risk of bias for the study. Detailed information about the specific coding strategy is available in Comparative Effectiveness Review [CER] No. 207, Psychological and Pharmacological Treatments for Adults with Posttraumatic Stress Disorder. (See our "Risk of Bias" data story.)
Most domains were rated as Yes (i.e., minimal risk of bias), No (i.e., high risk of bias) or Unclear (i.e., bias could not be determined). The overall study rating is based on the domains and is coded as low, medium or high risk of bias. The 4 domains that were included as components of the overall rating include: Selection bias--randomization adequate, allocation concealment adequate, groups similar at baseline and whether they used intention to treat analyses; Performance bias--care providers masked and patients masked; Detection bias--outcome assessors masked; Attrition bias--overall attrition less than or equal to 20% vs over 20%; differential attrition less than or equal to 15% vs over 15%.
Additional items assessed (but not considered as part of the overall rating) include: Reporting bias--all prespecified outcomes reported; Reporting bias--method for handling dropouts; Outcome measures equal valid and reliable; Study reports adequate treatment fidelity based on measurements by independent raters.

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).

Notes from Nick: Updated on 6/6/23 with Phase IV Data

Notes from Nick: Updated on 6/6/23 with Phase IV Data

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.