Name File Type Size Last Modified
DVHF Advocate Data.sav application/x-spss-sav 45.7 KB 04/02/2023 06:37:AM
DVHF Agency Data.sav application/x-spss-sav 13.8 KB 09/27/2022 07:39:AM
DVHF Participant Data 12mo.sav application/x-spss-sav 542.7 KB 09/27/2022 07:42:AM
DVHF Participant Data 18mo.sav application/x-spss-sav 639.8 KB 09/27/2022 07:42:AM
DVHF Participant Data 24mo.sav application/x-spss-sav 467.1 KB 09/28/2022 01:06:PM
DVHF Participant Data 6mo.sav application/x-spss-sav 678.5 KB 09/27/2022 07:36:AM
DVHF Participant Data Baseline.sav application/x-spss-sav 655.6 KB 09/27/2022 07:42:AM

Project Citation: 

Sullivan, Cris M. DVHF Demonstration Evaluation. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-02. https://doi.org/10.3886/E187961V1

Project Description

Summary:  View help for Summary This longitudinal, quasi-experimental study evaluated the impact of the Domestic Violence Housing First (DVHF) model on the safety, housing stability, and well-being of domestic violence survivors over the course of two years. DVHF includes providing survivors with housing-inclusive advocacy and/or flexible funding. Four hundred six homeless or unstably housed DV survivors were interviewed shortly after contacting services for help. They were then interviewed every six months over two years. Retention was 89% at 24-months. Evidence indicates that the DVHF model is more effective than services as usual (SAU) in helping survivors achieve housing stability, safety, and improved mental health over twenty-four months. Survivors who received DVHF also reported higher prosocial behaviors from their children compared to parents who received SAU. Positive change in these domains happened quickly (within the first 6 months after seeking services) and persisted across 12, 18, and 24 months. The model does not appear to be more effective than SAU in increasing financial stability or reducing substance misuse. It also showed no impact on children’s school attendance, school performance, nor on their behavioral problems. The DVHF model worked similarly across people from various race and ethnicity groups, as well as both urban and rural geographic service areas. For participants who had received DVHF, the extent to which they reported agencies engaging in trauma-informed practices was positively related to their housing stability, safety, and mental health over 24-months follow-up.  
Funding Sources:  View help for Funding Sources This research was supported by a subcontract from the Washington State Coalition Against Domestic Violence, who received funding through a contract with the U.S. Department of Health and Human Services’ Office of the Assistant Secretary for Planning and E

Scope of Project

Subject Terms:  View help for Subject Terms intimate partner violence; housing; homelessness; intervention
Geographic Coverage:  View help for Geographic Coverage Washington state
Time Period(s):  View help for Time Period(s) 2017 – 2022
Collection Date(s):  View help for Collection Date(s) 2017 – 2022
Universe:  View help for Universe Adult survivors of recent intimate partner violence who also self-identified as being homeless or unstably housed.
Data Type(s):  View help for Data Type(s) administrative records data; survey data
Collection Notes:  View help for Collection Notes Interviews with survivors were conducted in person or by phone.

Methodology

Response Rate:  View help for Response Rate Retention at 6-months was 92% (n=375). At 12-months it was 91% (n=369), at 18-months it was 88% (n=359) and at 24-months it was 89% (n=363). 
Sampling:  View help for Sampling Participants were recruited from five DV organizations (two urban, three rural) in a state in the Pacific Northwest. Each agency confirmed that they subscribe to the DVHF model but that there are times they do not have the funding nor staffing to provide housing-focused, mobile advocacy. During the time of study recruitment, DV agency staff agreed to inform all new clients who were homeless or unstably housed about the study. They referred 597 clients who were interested in hearing more about the study. We successfully reached 514 of these clients (86%) and told them more about the study. Fifteen percent were ineligible for the study because they either had not experienced recent IPV or were not either homeless or unstably housed. Seven percent declined to participate after hearing more (eight participants specifically noting safety concerns). The final sample consisted of 406 participants (93% of the 438 eligible clients). While agency staff kept no written documentation to support this, they verbally confirmed that few clients were ineligible to participate in the study and that those who enrolled in the study were similar demographically to all their clientele.
Data Source:  View help for Data Source In-person or phone interviews with survivors; agency records of services and funding provided; one web-based survey of advocates at 6-months
Collection Mode(s):  View help for Collection Mode(s) computer-assisted personal interview (CAPI); face-to-face interview; record abstracts; telephone interview; web-based survey
Scales:  View help for Scales Composite Abuse Scale
Scale of Economic Abuse Revised
Use of Children to Control
Housing Instability Scale
Financial Strain subscale of Scale of Economic Hardship
Inability to Make Ends Meet subscale of Scale of Economic Hardship
Herth Hope Index
Quality of Life Scale
Patient Health Questionnaire 9 (PHQ-9)
Generalized Anxiety Disorder 7 (GAD-7)
Trauma Screening Questionnaire
Medical Outcomes Study Social Support Survey (MOS-SSS-6)
CAGE-AID
Modified Differential Emotions Scale
Measure of Victim Empowerment Related to Safety (MOVERS)
Child Strengths and Difficulties Questionnaire 
 

Weights:  View help for Weights Inverse-probability-weighted (IPW) estimators were calculated and included in the longitudinal models as sampling weights to account for any selection bias resulting from factors that increased the probability that certain individuals received the intervention. To compute the IPW estimators, we first used logistic regression models to examine whether there were any meaningful baseline differences between those who received DVHF versus those receiving SAU. Thirteen factors were identified and used to calculate the IPW estimator: parenting children (y/n), living with the abuser (y/n), racial/ethnic minority (y/n), having been in foster care as a child (y/n), housing barriers, housing instability, staying with friends to avoid homelessness (y/n), inability to make ends meet, overall abuse, alcohol misuse, drug misuse, quality of life, and whether or not the DV agency was in a rural area (y/n). 
Unit(s) of Observation:  View help for Unit(s) of Observation Individuals
Geographic Unit:  View help for Geographic Unit N/A

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