Data source | Overview and data collection approach | Available data and time of collection |
---|---|---|
Data on the extent of implementation success | ||
VA corporate data warehouse | Extraction of medical record data for all women seen within the participating clinics to evaluate implementation outcomes: (a) change in reach of IPV, (b) consent rate (outliers)a, (c) IPV disclosure rate among women screened, and (d) psychosocial service use. | For each wave, data collection started three months prior to the start of implementation facilitation (pre-implementation facilitation period) and at the conclusion of the implementation facilitation period. |
Data to identify potential influencing factors | ||
Implementation strategies survey | An online survey was completed by the local primary care project lead and/or the IPVAP Coordinator at each participating site. The survey assessed strategies used in efforts to implement IPV screening programs. | For each wave, key site personnel were surveyed at the conclusion of the implementation facilitation period. |
Key informant interviews | Semi-structured interviews conducted with key informants (e.g., primary care providers, nurses, and IPVAP Coordinators) from participating clinics to understand IPV screening program set up, implementation strategies used, and barriers and facilitators to implementation. | For each wave, interviews were conducted at the end of the implementation facilitation period. Audio recordings from interviews were transcribed and analyzed. |
External facilitator interviews | Semi-structured interviews conducted with Office of Women’s Health external facilitators to understand engagement with participating sites, implementation facilitation activities conducted, and overall impressions. | Interviews occurred post-implementation facilitation. Audio recordings from interviews were transcribed and analyzed. |
Site balancing characteristics | Sites were randomly assigned to receive implementation facilitation in one of two waves using a balancing algorithm. This algorithm included multiple site-level characteristics. | Several site-level data characteristics were collected prior to running the balancing algorithm used to randomize the sites to waves. These characteristics included a measure of site rurality, type of primary care clinic, and number of mental health services encounters at site. |
Time-motion tracker | External facilitators logged each facilitation activity they used, including its frequency, the time spent on each activity, and the key site personnel they engaged in the activity. | For each wave, the external facilitators returned time-motion trackers detailing activities conducted at the sites they engaged. |