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A Process Analysis of Maryland Abuse Intervention Programs Christopher M. Murphy University of Maryland, Baltimore County Tara N. Richards University of Baltimore

A Process Analysis of Maryland Abuse Intervention Programsgoccp.maryland.gov/wp-content/uploads/2018-mcvrc-aips... · 2018-04-24 · treatment drop-outs, were significantly less likely

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Page 1: A Process Analysis of Maryland Abuse Intervention Programsgoccp.maryland.gov/wp-content/uploads/2018-mcvrc-aips... · 2018-04-24 · treatment drop-outs, were significantly less likely

A Process Analysis of

Maryland Abuse

Intervention ProgramsChristopher M. Murphy

University of Maryland, Baltimore County

Tara N. Richards

University of Baltimore

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Background

Brief History of Abuse Intervention Programs

Collaborative outgrowth of the battered

women’s movement in late 1970’s

Early programs – consciousness raising men’s

groups; voluntary participants

1980’s and 90’s – rapid expansion due to

changes in policing and prosecution (court-

mandated participants)

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Background

1990’s – 2000’s

Development of various intervention models

Outcome research showed small effects,

but with many study limitations

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BackgroundUnique History in Maryland

Integration with comprehensive domestic violence agencies

Maryland Certification Guidelines (1996)

Goal to develop research-based standards

With recent tracking of family violence convictions, the Governor’s Office of Crime Control and Prevention requested a study of AIP program effectiveness

Before being able to evaluate whether Maryland AIPs are effective, we wanted to better understand program practices

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Project Framework

Process evaluation identifies the conceptual

model(s) of influence and change; key

features of program design; program

implementation; and relevant challenges

Can identify areas for program / practice

enhancement

Provides a foundation for subsequent

evaluation of program effects and impact

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Project Objectives

1. To develop logic models of Maryland AIPs

by

a) describing the interventions used

b) identifying change targets that

practitioners believe contribute to long-term

cessation of partner violence

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Project Objectives

2. To identify promising practices used by Maryland AIPs by:

a) Uncovering staff perspectives on program elements and practices that are important and effective in ending IPV

b) Conducting a systematic analysis of common and unique AIP program practices and comparing them to available research on behavior change and offender rehabilitation

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Project Objectives

3) To identify challenges and barriers to effective

practice by:

a) Uncovering program staff perspectives on the

challenges they face in conducting this work

b) Elucidating the working relationships of Maryland

AIPs with local legal systems, referral sources, and

service providers

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Project Objectives

4) To identify ways in which the Maryland AIP

Guidelines can facilitate and promote best practices

by:

a) Identifying program staff awareness of the Guideline

b) Uncovering program staff perspectives on helpful

and facilitative aspects of the Guidelines; and

c) Uncovering program staff perspectives on the

challenges posed by compliance with the Guidelines

and suggested changes

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Key Topics Examined

AIP’s …

(1) philosophies and goals

(2) processes and content

(3) relationships with referral and monitoring

organizations

(4) familiarity and compliance with state guidelines

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Participating Programs

All 32 Certified Maryland AIPs were invited to

participate

20 programs (63% of those invited) volunteered and

enrolled

Participating programs serve 19 (of the 24) counties

in Maryland

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Methods

Reviewed program materials submitted with their

last self-certification application

Conducted 1-hour structured telephone interviews

with 38 AIP directors and staff

Reviewed 5 de-identified case files for each

program

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Findings: Program Models

All programs use group as the primary modality

Very few programs adhere strictly to one specific model; most use an integrative approach

The most commonly endorsed approaches (% of interview respondents who mentioned it) were:

Duluth / power and control (34%)

Motivational / Stages of change (18%)

Cognitive – behavioral (13%)

STOP (11%)

Emerge (11%)

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Findings: Convergent Perspectives

Providers agree that the cessation of violence and other forms of abuse is the main objective

Many providers articulated the importance of:

strategies to address resistance, reduce minimization and blaming, and enhance accountability and change motivation

collaborative relationships with AIP participants

positive group interactions (including role modeling) to promote change

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Findings: Convergent Perspectives

Many providers indicated that they provide

interventions or education to help participants:

identify and understand different forms of abuse

(emotional / psychological abuse; expressions of power

and control

take responsibility for one’s abusive actions

understand and accept the effects of abuse on others

recognize and manage personal triggers and high-risk

situations

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Findings: Divergent Perspectives

Providers expressed divergent perspectives (and/or experience conflicts in their practice)on ways to achieve those goals, including:

Social change / consciousness raising versus therapeutic approaches

The value of structured program materials

Some use little or no materials or home / practice assignments

Some very enthusiastic about their structured program content

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Major Findings: Divergent Perspectives

Differences in emphasis on key change targets

Commonly mentioned were:

Learning about healthy relationships

Communication / relationship skills

Active listening; assertiveness; empathy

Ability to identify, express, and regulate emotions

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Findings: Divergent Perspectives

Less commonly mentioned change strategies:

Gender role attitudes and conceptions of masculinity

Identifying and managing stress

Decision-making and problem solving

Family origins of violence (e.g., witnessed abuse)

Parenting / co-parenting

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Findings: Case-Specific Needs

Although most providers assess client needs, most have significant limitations in their capacity to address individual problems that may influence response to AIP

substance use disorders

serious mental health concerns (e.g., psychotic and mood disorders)

traumatic stress reactions

life complications such as unemployment and housing instability

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Findings: Coordination and Evaluation

AIP coordination with referring sources is highly

variable

Some have exemplary monitoring of referrals and

compliance

Others have challenges in this area

Providers expressed the need for more evaluation of

program effects

Relatively little current capacity for evaluation

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Barriers and Challenges

Interviews identified challenges with:

Funding (84%)

Reliance on client fees when many are poor or unemployed

Outdated or insufficient program materials

Staffing (55%)

Reliance on part-time staff or limited time commitment from full-time staff

Limited training and credentialing options

Inadequate space (18%)

Reliance on other organizations for group space

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Key Conclusions

AIPs provide crucial opportunities to disrupt cycles of violence, reduce trauma, and enhance safety for survivors and communities

Maryland AIPs could benefit from greater access to training, enhanced processes to disseminate promising and best practices, and development, testing, and sharing of intervention resources

The level of financial and infrastructure support for Maryland AIPs is woefully inadequate to promote full implementation of best practices

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An Examination of

Maryland Abuser

Intervention Programs’

(AIPs) Impact on Domestic

Violence RecidivismTara N. Richards

University of Baltimore

Christopher M. Murphy

University of Maryland, Baltimore County

Data collection assistance from Adam LaMotte, Alisha Sillaman, Ana Maldano, Katherine Kafonek, and Stephanie Dolamore

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Purpose

Provide systematic evaluation of MD AIP

participation and completion

Examine impact of participation on

recidivism

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Participating Programs

Agencies who participated in the Process

Analysis were located in “DV tag

counties” were invited to participate

Proposed subset of 3-5 programs

7 programs volunteered, all 7 were

enrolled

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Methods

AIP data collection for cohort of 2014-2015 clients

Completed during summer 2017 (n=1692)

Recidivism data collection

Proposed using data from MSAC

Currently collecting data from MD Case search

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MD AIP Outcomes (n=1692)

44.1% Successful discharge (Completers)

23.6% Failed to appear after intake (No-Shows)

24.1% Unsuccessful discharge (Dropouts)

5.9% Deemed inappropriate for AIP

1.7% Client sought treatment elsewhere

0.4% Incarcerated

0.1% Deceased

Working sample for this analysis includes completers, dropouts, and no-shows (n=1,553)

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MD AIP Participant Sample: Demographic

Variables (n=1,553)

Variables M/% SD Minimum Maximum

Age at Intake 34.81 10.76 18 86

Gender

Male

Female

89.8%

10.2%

Race

Non-White

White

78.3%

21.7%

HS Diploma/GED 68.5%

Employed at Intake 48.3%

Married to Victim 16.7%

Children with Victim Partner 48.5%

Living with Victim Partner at time of

IPV incident

38.8%

Living with Victim Partner at Intake 26.8%

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MD AIP Participant Sample: Psychosocial

Variables (n=1,553)

Variables M/%

On Probation 73.9%

Past Substance Abuse 75.4%

Substance Abuse at Time of IPV Incident 31.7%

Current Substance Abuse at Intake 41.6%

Past or Current Mental Health Problem 30.8%

Past History of Homicidal Ideation,

Threats, or Attempts

9.3%

Past History of Suicide Attempts 4.6%

Past History of Suicidal Ideation 15.9%

Exposure to IPV in Family of Origin 22.6%

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MD AIP Participant Sample: Treatment-

Related Variables (n=1,553)

Variables M/% SD Minimum Maximum

Group Counseling Only 86.7%

Individual Counseling Only 2.4%

Group and Individual Counseling 10.9%

Total Number of IPV Tx Sessions

Attended

14.19 12.08 0 76

Treatment Completers 48.0%

Treatment Dropouts 26.2%

Treatment No-Shows 25.8%

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Bivariate Differences in Treatment Completion

(n=1,553)Variables Completers

(C)

Dropouts

(DO)

No-Shows

(NS)

F-test Tukey’s b

Post Hoc

TestsAge at Intake 35.85 34.58 33.08 8.69*** C>NS

Male 0.84 0.94 0.96 25.37*** NS>C, DO

Non-White 0.73 0.80 0.86 13.55*** All sig.

HS Diploma/GED 0.74 0.65 0.61 10.12*** C>DO, NS

Employed at Intake 0.58 0.42 0.34 32.45*** All sig.

Children with Victim

Partner

0.46 0.47 0.62 8.57*** NS>C, DO

On Probation 0.74 0.79 0.68 4.98** C, DO>NS

Past Substance Abuse 0.72 0.81 0.77 5.26** DO>C

Substance Abuse at

Time of IPV Incident

0.28 0.36 0.39 5.39** NS>C

Current Substance

Abuse

0.38 0.48 0.43 5.11** DO>C

Past or Current Mental

Health Problem

0.26 0.35 0.44 12.23*** All sig.

Note. The reference category for the dependent variable is “Completers.” *p<.05. **p<.01. ***p<.001

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Multinomial Regression Predicting Batterer

Intervention Treatment Attrition (n=1,553)Variables No-Shows Dropouts

B SE OR (95% CI) B SE OR (95% CI)

Age at Intake -0.02 0.01 0.99 (0.97-1.01) -0.01 0.01 0.99 (0.97-1.00)

Male 1.29*** 0.39 3.63 (1.70-7.80) 1.45*** 0.30 4.26 (2.45-8.01)

Non-White -0.04 0.16 0.96 (0.69-1.30) -0.07 0.12 0.94 (0.74-1.17)

HS Diploma/GED -0.58** 0.17 0.56 (0.40-0.77) -0.34** 0.12 0.71 (0.56-0.89)

Employed at

Intake-0.88** 0.24 0.41 (0.26-0.66) -0.41* 0.16 0.67 (0.50-0.93)

Children with

Victim Partner-0.02 0.22 0.98 (0.64-1.49) -0.10 0.16 0.90 (0.66-1.21)

On Probation -0.69** 0.25 0.50 (0.31-0.83) -0.09 0.19 0.92 (0.63-1.33)

Current

Substance Abuse-0.09 0.22 0.91 (0.51-1.40) 0.32* 0.16 1.38 (0.77-1.59)

Past or Current

Mental Health

Problem

0.60** 0.23 1.81 (1.18-2.90) 0.32 0.17 1.38 (0.98-1.93)

Note. The reference category for the dependent variable is “Completers.” *p<.05. **p<.01. ***p<.001

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Implications: Education and Employment

Findings highlight the complex needs of AIP clients.

Less than two-thirds of the total sample had a high school

diploma/GED and less than half were employed.

Like many AIPs nationwide, MD AIPs operate on a fee-for-service

basis so clients must pay for treatment.

For unemployed or underemployed clients, payment may be a barrier

to treatment engagement or retention.

Education and employment indicators must be viewed as

significant “red flags” for treatment engagement.

AIP clients would likely benefit from employment assistance and

connection to GED preparation courses and/or exams.

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Implications: Probation Supervision

The multivariate findings clarified the relationship between

probation and treatment attrition: treatment no-shows, but not

treatment drop-outs, were significantly less likely to be on probation

relative to treatment completers once we controlled for other

variables.

Probation agents may serve as important collaborators with BIP

providers regarding offender supervision and accountability at

referral/intake.

Probation supervision was not a protective factor against early

treatment disengagement (i.e., dropout).

Review probation contract language: Are AIP clients under

probation supervision required to “engage in” OR “complete” AIP.

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Implications: Mental Health and Substance Use

Treatment no-shows were significantly more likely to report a mental

health problem than completers.

Dropouts were significantly more likely to report a substance use

problem than completers.

This data did not include individuals whose mental health or substance abuse condition was serious enough for the BIP to decline to treat them.

Findings highlight the need for routine screening for mental health and

substance abuse and intensive case management where possible.

If clients with mental health problems that are not severe enough for the BIP to refer them to other treatment can be engaged early in the BIP, they are no more likely to drop out of treatment than those without a mental health issue.

Prior research suggests that BIPs may successfully impact clients’ substance use problems even if the BIP does not specifically target substance use reduction (Bennett; 2008; Lila, Gracia, & Catala-Minana; 2017).

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What’s Next?

Recidivism data collection for treatment sample is almost complete.

Recidivism data collection for control group sample is underway.

May: Recidivism data analysis will be completed.

June: Final report will be developed.

Inclusive of (1) Attrition analysis, (2) Risk-profiles for AIP participants who

reoffend, and (3)Comparative analysis of reoffending for treatment

group (AIP clients) versus control group (DV tag offender not in AIP).

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Thank you!

Questions?

Tara Richards ([email protected])

Chris Murphy ([email protected])