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Decisions and Disparities: Disentangling Sources of Inequity John D. Fluke, Kempe Center for Children, University of Colorado School of Medicine February 7, 2013 Shubert Center for Child Studies, Case Western Reserve University Content


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Decisions and Disparities: Disentangling Sources of Inequity

John D. Fluke, Kempe Center for Children, University of Colorado School of Medicine

February 7, 2013 Shubert Center for Child Studies, Case Western Reserve University

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Content

  • Brief Overview of the DME
  • A Framework for Thinking About Disparities
  • Decision Making Ecology: Placement Decision Analysis

with the Canadian Incidence Study of Reported Child Abuse and Neglect (CIS)

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Donald J. Baumann, Ph.D. Saint Edwards University Len Dalgleish University of Sterling, UK John D. Fluke, Ph.D. Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine

The Decision-Making Ecology

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Overview

  • Key Issues
  • The Decision Making Ecology
  • General Assessment and Decision Making

(GADM) and Thresholds

  • Example Studies
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The Continuum of Intervention

ASSESSMENT Child protection Decisions/Actions Screening Assessment Placement Reunification

  • Assessments and decisions are made at key

points along the child protection continuum

  • Each key decision point requires a specific

decision and action

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Some Key Issues

  • The Context of Decision-Making in Child Welfare
  • Child Welfare and the Problem of False Positives
  • General Research Concerns with Assessment and

Decision Making

  • Making Sense of Feedback and Decision Making

Consequences

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Making Sense of Feedback and Consequences

 How do we make progress in integrating and improving clinical/professional judgment in the assessment process?  What and whose consequences are we actually most concerned about?  What are the best ways to influence decision actions?

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DECISION-MAKING ECOLOGY (DME)

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External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

Decision Making Ecology

(Baumann, Dalgleish, Fluke &Kern, 2011)

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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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  • Type Maltreatment
  • Pattern of Maltreatment
  • Risk of Harm
  • Safety
  • Child and Family Characteristics

Case Factors

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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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Organizational Factors

  • Resources and Caseloads
  • Bureaucratic Distractions
  • Support & Unit Cohesion
  • Policy
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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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Decision Maker Factors

  • Experience
  • Skills
  • Values
  • Comfort with Casework
  • Orientation (protection vs. preservation)
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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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External Factors

  • Law
  • Critical Events
  • Funding
  • Community Engagement
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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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GENERAL ASSESSMENT AND DECISION MAKING (GADM) MODEL: THE PROCESS OF DECISION-MAKING

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Risk assessment and decision making

  • In many jurisdictions risk assessment is

used as a way to summarise the case information.

  • How is this assessment turned into a

decision about a course of action?

  • In general, the risk of harm has to be

sufficient to warrant taking protective action.

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Assessment and decision making are difficult tasks

  • Assessments and

decisions are based on information that is

  • ften unclear, noisy

and uncertain.

  • Sometimes made

under time pressure in a highly emotional atmosphere.

  • There are structural

and resource constraints, media interest, unpredictability of

  • utcomes.
  • This is:

Decision making under uncertainty.

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Crucial points:

The general model for assessment and decision making.

Separates: The assessment of the situation. From: The decision to something about it. – Qualitatively different factors influence assessment and decision making. Distinguishes: The person’s ability to detect the need to take action (how good they are). From: The person’s willingness to take action (their threshold).

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The Big Problem in Making Decisions Under Uncertainty: An Illustration Using the Receiver Operator Characteristic Curve- Risk Assessment Accuracy Estimate

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Research and Risk Assessment What Do We Know about What is Tied to Risk?

– Prior History of Maltreatment – Child Disability – Type(s) of Maltreatment – Severity of Maltreatment – Substance Abuse – Younger children – Domestic Violence – Family Stress – Lacking Social Supports – Inability to Use Resources – Provision of Services

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Child Welfare and the Problem of False Positives

Sensitivity (true positive)

N = 210,642

High threshold Low threshold

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Effect of Thresholds on False Positives

The assessment has an Area Under the Receiver Operator Curve = 63%: Prevalence assumed to be 10%: Applied to 100,000 children

HIGHER THRESHOLD LOW THRESHOLD

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Assessments and thresholds are influenced by different factors

  • The Risk Assessment

derives from case information on the Child, the Family and the nature

  • f the current and past

concerns.

  • Information organized

into operationally defined factors. E.g. A comprehensive system

Dalgleish and Drew (1989)

  • From Theory, the Threshold

for Action derives from the experiences and history of the worker. – Possible consequences for the different stakeholders. – How the worker values the consequences.

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If the Assessment is ABOVE the Threshold, then ACTION is taken. If the Assessment is BELOW the Threshold, then NO ACTION is taken.

A General Model for Assessing the Situation and Deciding what to do about it - Dalgleish

Threshold

Factors Influencing Threshold for Action

Information from Experiences and Organizational Factors)

HIGH LOW

Assessment Dimension: e.g. Risk or ‘Level of Concern’ Assessment

Factors Influencing Assessment.

Information from Current situation being Assessed. The Case Factors.

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The Process of Decision Making: The Threshold Concept

  • If threshold low, W1

needs little evidence before taking action.

Assessed level of risk or need Low High Threshold W1 Threshold W2 W2 Assessment. W1 Assessment.

 If threshold high, W2 needs

much evidence before taking action.

 Even if they agree on the

assessment,

 they disagree about taking

action.

Yes No

*From Len Dalgleish, 2000

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Decision Making Ecology

External Factors Decision Maker Factors Organizational Factors Decision Making Outcomes Influences Decisions Outcomes Case Factors

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Outcomes/Consequences

  • Children

– Safety – Permanence – Well-Being

  • Workers/Supervisors

– Satisfaction – Turnover – Corrective Actions – Reorganization – Redefinition of Functions

  • External

– Public Anxiety – Media Scrutiny – Legislative Scrutiny

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The Continuum of Intervention and Hypothesized Threshold Structure

ASSESSMENT Child protection Decisions & Actions Screening Assessment Services Placement Reunification

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Incidence?

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Enumerating Disparities and Disproportionality in Decision Points

  • Population Based Denominator Ratios

– Based on data from one child welfare decision (e.g., new placements/population) – Easiest to obtain

  • Decision Based Denominator Ratios

– Based on data from at least two child welfare decisions (e.g., new placements/opened cases)

  • Relationship

Population Based Denominator Ratio= e( ∑ ln(Decision Based Denominator Ratio))

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2.34 2.42 2.16 2.69 2.34 1.03 0.89 1.35

Population Denominator Decision Denominator

Comparison of Population and Decision Based Disparity Ratios - Colorado 2009 African American Children with Respect to White Children

Decision Points

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2.34 2.42 2.16 2.69 2.34 1.03 0.89 1.35 0.86 0.89 0.79 1.07 Population Denominator Decision Denominator Poverty Adjusted Population Denominator

Comparison of Population and Decision Based Disparity Ratios - Colorado 2009 African American Children with Respect to White Children

Decision Points

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Questions About Where to go Next

  • Exploration of Explanatory Factors

– What are the source of Disparities?

  • Explanatory Factors are Likely to be Different for

Each Decision Point

  • Use the Decision Making Ecology (DME) Framework

(Baumann, et al., 2011) and the Explanatory Factors to Frame Research Questions

  • Poverty Indicators or Proxies in Administrative Data

– Are Decision Making Errors (False Positives, False Negatives) Disparate? – Some examples

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Alan J. Dettlaff, PhD, MSW Jane Addams College of Social Work University of Illinois at Chicago Stephanie L. Rivaux, PhD Texas Department of Family and Protective Services Donald J. Baumann, Ph.D. Texas Department of Family & Protective Services John D. Fluke, Ph.D. Child Protection Research Center American Humane Association Joan R. Rycraft, Ph.D. University of Texas at Arlington

Disentangling Substantiation: The Influence of Race, Income, and Risk

  • n the Substantiation Decision in

Child Welfare

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  • Understanding the source of the disparities found at decision-

making points along the child welfare pathway is essential to understanding and addressing racial disproportionality.

  • Critiques of efforts to address this issue suggests that the more

risk factors that are controlled for, including poverty, the less likely it is that studies examining racial disparities will find evidence of racial bias.

  • Analyses that include measures of poverty and other indicators
  • f risk have largely not been conducted using data from child

welfare systems.

  • This study uses data from the Texas child welfare system to

identify the source of disparities found at the substantiation decision, including measures of family income and caseworker perceptions of risk.

Background

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  • Cases reported to the Texas Department of Family and

Protective Services (DFPS) between 09/1/2003 and 02/28/2005

  • N=186,182
  • 25.7% of cases were substantiated (n=47,600)
  • Race/ethnicity

– 38.7% Hispanic, 19.7% African American, 38.9% White, 2.8% Other

  • Poverty

– About 2/3 of sample had a family income less than $20,550.

  • Single parent households: 58.8%
  • Families headed by teen parents: 30.2%

Sample

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  • Family income

– Less than $10,150 – $10,150 - $20,549 – $20,550 - $40,549 – $40,550 and greater

  • Race/ethnicity: Hispanic, African American, White, Other
  • Risk assessment: Aggregate score of seven areas of

concern rated on 5-point Likert-type scale, high scores = higher risk

  • Socio-demographic: parents’ marital status, teen parent,

age group of youngest child, number of children

  • Report: type of allegation, report source, state region
  • Decision: Case substantiation following an investigation

Variables

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Risk Assessment Scores by Race and Income

5 10 15 20 25 Low- income Hig her- Low- income Hig her- Low- income Hig her- Low- income Hig her- Low- income Hig her- Low- income Hig her- Low- income Hig her- Low- income Hig her- African American Hispanic Other White African American Hispanic Other White Substantiated Not Substantiated Mean Risk Score

Risk Assessment Mean Distribution

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Category means Test Statistic p Risk by Race F(3) = 85.92 <.001 African American 15.53 Hispanic 15.22 Other 15.36 Anglo 15.80 Risk by Income F(3)=1344.01 <.001 Less than $10,149 16.76 $10,150-$20,549 15.12 $20,550-$40,549 14.48 $40,550 and greater 14.19 Income by Race x2(9) = 7979 <.001 Substantiation by Race x2(3) = 93.01 <.001 Substantiation by Income x2(3) = 3,034 <.001 Substantiation by Risk OR = 1.197 <.001

Bivariate Analysis of Predictor Variables

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Race OR CI p African American 1.006 (0.974-1.039) 0.710 Hispanic 0.911 (0.885-0.938) <.001 Other 0.948 (0.883-1.018) 0.143 White* Income Less than $10,150 1.956 (1.858-2.060) <.001 $10,150-20,549 1.290 (1.226-1.357) <.001 $20,550-40,549 1.103 (1.048-1.161) <.001 $40,550 and greater*

* Reference

1st Logistic Regression (w/o Risk)

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Race OR CI p African American 1.148 (1.104-1.193) <.001 Hispanic 1.209 (1.167-1.252) <.001 Other 1.231 (1.127-1.346) <.001 White* Income Less than $10,150 0.936 (0.878-0.998) 0.042 $10,150-20,549 0.850 (0.799-0.905) <.001 $20,550-40,549 0.896 (0.841-0.954) 0.001 $40,550 and greater* Risk Assessment 1.205 (1.201-1.209) <.001

* Reference

2nd Logistic Regression (w/ Risk)

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  • Critiques have discussed the inherent difficulty of

assessing the role of race as an independent causal factor in decisions made by child welfare systems.

  • However, they have suggested that the more relevant

non-racial explanations that are included in studies examining decision-making, the less likely it is that race will emerge as an explanatory factor.

  • The results of the current study both support and refute

this contention, suggesting that race interacts with other variables in a complicated manner that varies depending on the factors that are included in statistical models.

  • Specifically, these findings suggest a complex

relationship between race, income, and caseworkers’ assessment of risk.

Interpretation

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If the Assessment is ABOVE the Threshold, then ACTION is taken. If the Assessment is BELOW the Threshold, then NO ACTION is taken.

Threshold

Factors Influencing Threshold for Action

Information from Experience & History

  • f Decision-Maker

(Race) HIGH LOW

Assessment Dimension: e.g. Risk or ‘Level of Concern’ Assessment

Factors Influencing Assessment

Information from Current situation being assessed. The Case Factors (Income)

A General Model for Assessing the Situation and Deciding what to do about it (Dalgleish)

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  • Findings indicate that poverty is associated with higher risk

assessment scores.

  • African American families involved in both substantiated and

unsubstantiated cases were assessed by caseworkers as having lower risk than White families.

  • When controlling for risk, poverty was not a significant

predictor of substantiation, while race was a significant predictor.

  • Suggests that although income may influence risk assessment,

it is not a factor that influences the threshold for decision.

  • Rather, there are racial differences in the decision-making

threshold used by caseworkers in making the substantiation decision.

  • Specifically, the decision-making threshold for substantiation is

higher for Whites than it is for African Americans.

GADM & the Substantiation Decision

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Placement decisions and disparities among Aboriginal groups: An application of the decision making ecology through multi-level analysis

John Fluke, Ph.D. Child Protection Research Center American Humane Association Barbara Fallon. Factor-Inwentash Faculty of Social Work, University of Toronto, Ontario, Canada Bruce MacLaurin Faculty of Social Work University of Calgary, Calgary, Canada Martin Chabot Centre for Research on Children and Families, McGill University, Montreal, Canada Cindy Blackstock First Nations Child and Family Caring Society, Ottawa, Canada

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Canadian Incidence Study

  • Serial surveys of Professionals
  • Focus on investigated children and their

families who come into contact with child welfare authorities.

  • First national study to collect disaggregated

data on First Nations, Métis and Inuit children

  • Two cycles of the Canadian Incidence Study of

Reported Child Abuse and Neglect

– 1998 – 2003

  • Third cycle is in progress (Summer 2010)
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Aboriginal Child Welfare Delivery in Canada

  • Off reserve, services are primarily delivered by

non-Aboriginal child welfare organizations and are funded by the provinces/territories

  • On reserve, services are mainly provided by

First Nations child and family service agencies (there are 125 in Canada). These agencies receive statutory authority from the provinces but are funded by the federal government

  • Funding levels on reserve are not equitable
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Aims of Study

  • Test the hypothesis that extraneous

factors, specifically, organizational characteristics, impact the decision to place a child in out of home care.

  • Identify possible decision making

influences related to disparities in placement decisions tied to Aboriginal children.

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Methods

  • CIS 1998

– 55 child welfare sites was selected from 327 child welfare service areas – October 1, 1998 to December 31, 1998

  • Children in the household for whom

maltreatment was alleged or suspected during investigation

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Methods

  • Subsample for this study

– Worker forms completed

  • 496 investigating workers (excludes Quebec)
  • 4,787 child maltreatment investigations

– Organizational Questionnaire

  • 40 child welfare sites

– Investigations that remained open for

  • ngoing services
  • N = 1,304
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Design and Measures

  • Outcome variable: formal placement

(versus no formal placement)

  • Multilevel Logistic Regression Equation

– Two Levels

  • Level 1: Case/clinical
  • Level 2: Worker/organizational
  • Mplus and Replicated in R
  • Multi-Stage Process
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Model 2 (Parsimonious case factors and Parsimonious organizational factors)

Estimate S.E. Est./S.E. P-Value Odds ratio 95 % C.I. Variables Child and Family Characteristics - Level One (report child pair) Type of Maltreatment (presence of type) Emotional maltreatment

  • 1.035

0.255

  • 4.067

0.000 0.355 0.215 0.586 Mental or Emotional Harm (present) 1.021 0.174 5.881 0.000 2.776 1.974 3.904 Number of Moves Two or more moves 1.067 0.246 4.329 0.000 2.907 1.795 4.708 Caregiver Functioning Presence of Three or more Concerns 0.900 0.174 5.174 0.000 2.460 1.749 3.459 Cooperation (present)

  • 0.580

0.232

  • 2.499

0.012 0.560 0.355 0.882 R-squared 0.195 0.033 5.975 0.000 Organizational Characteristics – Level Two (Local CPS Agency) Aboriginal Investigations (20% investigations are aboriginal caregivers) 1.124 0.328 3.425 0.001 3.077 1.618 5.853 R-squared 0.327 0.131 2.492 0.013 Direct explained variation 19.76% m.a.e. 0.25324

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Decision Making Ecology

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External Factors Decision Maker Factors Organizational Factors Place Child Out of Home Outcomes Case Factors

  • Type of

Maltreatment

  • Moves
  • Caregiver

Functioning

  • Cooperation
  • Aboriginal

Investigation Caseload

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Replication with 2003 CIS Data

Original 1998 cut point Replication 1998 & 2003 cut point

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Summary and Implications

  • 1998 data overrepresentation of aboriginal children

in out of home care not due to differential decision making regarding specific children or families

  • 1998 data support the idea that disparities may be
  • ccurring at the agency level

– Independent assessments indicate that resources in tribal serving agencies is disparate – Our 2003 replication suggests that social work education may moderate the effect of aboriginal caseload

  • More work is needed to understand what the

proportion of Aboriginal families on the caseload means and implies

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Closing Thoughts

  • Using a model that separates the assessment of the

situation from the decision to take action is useful in thinking about the range of decision improvement strategies.

  • Assessments and thresholds are influenced by different

types of factors and some factors may be modifiable.

  • Levels of disparities are different across the continuum
  • f child welfare decisions, the sources are different as

well.

  • We need to be able to honestly assemble the best

evidence to parse out the sources of disparities at each decision point in each CW system.

  • The best chance for a successful strategy to reduce

disparities will be based on:

– Identifying the decisions where disparities emerge – Focusing on the factors that are most important for each decision.

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References

  • Baumann, D.J., Dalgleish, L., Fluke, J., & Kern, H.(2011).The decision-making ecology. Washington, DC:

American Humane Association.

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M.J., James, J.Kromrei, L., Craig, S., Capouch, D., Sheets, J., Ward, D., Breidenbach, R., Hardaway, A., Boudreau, B., & Brown, N.(2010).Disproportionality in child protective services: The preliminary results of statewide reform efforts.Texas Department of Family and Protective Services.March.

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H., Baumann, D.J., & Fluke, J.(Eds.).Worker Improvements to the Decision and Outcome Model (WISDOM): The child welfare decision enhancement project. The Children’s Bureau, Washington, D.C.

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comprehensive guide to frameworks and their use. (pp.86-99).Dorset, UK: Russell House Publishing.

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influence of race, risk and poverty on the substantiation decision in child welfare. Children and Youth Services Review .

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Contact Information

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John Fluke John.fluke@ucdenver.edu