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. Author manuscript; available in PMC: 2017 Jan 28.
Published in final edited form as: Subst Use Misuse. 2016 Jan 20;51(2):179–192. doi: 10.3109/10826084.2015.1089906

Header: Do adult DTC programs prevent child maltreatment? Parental criminal justice involvement and children’s involvement with child protective services: Do adult drug treatment courts prevent child maltreatment?

Elizabeth J Gifford 1,, Lindsey M Eldred 2, Frank A Sloan 3, Kelly E Evans 4
PMCID: PMC5014369  NIHMSID: NIHMS769626  PMID: 26789656

Abstract

Background

In light of evidence showing reduced criminal recidivism and cost savings, adult drug treatment courts have grown in popularity. However, the potential spillover benefits to family members are understudied.

Objectives

To examine: 1) the overlap between parents who were convicted of a substance-related offense and their children’s involvement with child protective services (CPS); and 2) whether parental participation in an adult drug treatment court program reduces children’s risk for CPS involvement.

Methods

Administrative data from North Carolina courts, birth records, and social services were linked at the child level. First, children of parents convicted of a substance-related offense were matched to (a) children of parents convicted of a non-substance-related offense and (b) those not convicted of any offense. Second, we compared children of parents who completed a DTC program with children of parents who were referred but did not enroll, who enrolled for <90 days but did not complete, and who enrolled for 90+ days but did not complete. Multivariate logistic regression was used to model group differences in the odds of being reported to CPS in the one to three years following parental criminal conviction or, alternatively, being referred to a DTC program.

Results

Children of parents convicted of a substance-related offense were at greater risk of CPS involvement than children whose parents were not convicted of any charge, but DTC participation did not mitigate this risk.

Conclusion/Importance

The role of specialty courts as a strategy for reducing children’s risk of maltreatment should be further explored.

Keywords: Drug Treatment Courts, Child maltreatment, convictions, substance use

Introduction

Adult drug treatment courts (DTCs) are an intervention used by the criminal justice system to address the relatively large population of nonviolent offenders who are substance users. Since their creation in 1989, DTCs have been one of the most heavily studied criminal justice programs (Goldkamp, 1994; Marlowe, 2010). By 2006, there were at least five independently conducted meta analyses examining the effects of adult DTCs (Marlowe, 2010), and there have been several more since then (Mitchell, Wilson, Eggers, & MacKenzie, 2012; Sevigny, Fuleihan, & Ferdik, 2013). Existing research suggests that DTC programs are effective in reducing the likelihood of re-arrest and drug use (Gifford, Eldred, McCutchan, & Sloan, 2014a; Latimer, Morton-Bourgon, & Chretien, 2006; Mitchell et al., 2012; Wilson, Mitchell, & MacKenzie, 2006), and there is evidence that these courts save money, at least in the short-term, due to reduced costs of incarceration (Belenko, 1998; Carey & Finigan, 2004; Marlowe, 2010; Rossman et al, 2011). Although successful on many counts, there is concern that certain populations benefit from these courts while other populations are more likely to fail and experience adverse legal consequences as a result (Orr et al., 2009). For instance, the way drug courts are structured, indigent populations may have difficulty maintaining employment and complying with all the demands of the DTC (Orr et al., 2009). Despite all that is known about adult DTCs, to our knowledge, whether these courts improve outcomes for participants’ children has been unexplored.

Existing research on the relationship between DTC programs and children’s involvement with social services has focused on family DTCs (for a review, see Gifford, Eldred, Vernerey, & Sloan, 2014b), which operate in the civil court system and focus on family preservation. Studies find that children of parents who complete a family DTC program have shorter stays in foster care and are more likely to be reunified with their parents (Gifford et al., 2014b). Adult DTCs differ in a number of regards; namely, they operate through the criminal justice system, and their primary focus is not family preservation, but rather providing an intervention that treats an offender’s underlying addiction.

DTCs were not developed through the use of a conceptual framework, though recently, therapeutic jurisprudence has been used as the theoretical basis for DTCs and has guided scholars’ understanding of the potential mechanisms whereby such courts may benefit the individuals who are served (Fulton Hora, 2002; Lloyd, 2015). Therapeutic jurisprudence considers the law both as a social force that has consequences for the offender and as a therapeutic agent with the potential to heal (Wexler, 2015; Wexler, 2008; Wexler & Winick, 1996). When DTCs are designed, they typically utilize the Ten Key Components of Drug Treatment Courts (National Assoc of Drug Court Professionals, 1997). This framework relies on the idea of coordination of treatment with the criminal justice system and the belief that coerced treatment is equally effective as non-coerced treatment, and that an arrest is an opportunity for intervention (Boldt, 2010; Fulton Hora, 2002)

Prior research has documented a clear link between (a) parental substance use and child abuse and neglect (child maltreatment) (Famularo, Kinscherff, & Fenton, 1992; Kienberger Jaudes, Ekwo, & Van Voorhis, 1995; National Center on Addiction and Substance Abuse, 1999) and (b) parental substance-use treatment and improved outcomes for children (Andreas & O'Farrell, 2009; Kelley & Fals-Stewart, 2002; Rounsaville, O'Farrell, Andreas, Murphy, & Murphy, 2014). Coupling these associations with the framework of law as a social force, DTCs, by connecting parents to treatment services and reducing parent substance use, have the potential to improve outcomes for children.

This study’s main research question was “Does parental participation in an adult DTC reduce the probability that a child will become involved with child protective services (CPS)?” To establish context, part one of our study examined the extent to which children whose parents were convicted of a substance-related offense were at increased risk for the adverse outcome of being reported to CPS for alleged maltreatment. Two comparison groups were considered: children whose parents were not convicted of any offense during our observation window, and children whose parents were convicted only on a non-substance-related offense. Part two of this study focused on the main research question. Our hypothesis, using the theory of therapeutic jurisprudence as a social force, was that after controlling for socioeconomic risk factors for CPS involvement, children whose parents completed the DTC program would have lower odds of being investigated or assessed by CPS in subsequent years than children who had parents with lower levels of participation.

Background

Substance misuse increases the chances that an adult will become involved in the criminal justice system (Phillips, Erkanli, Keeler, Costello, & Angold, 2006) and the chances that a dependent child will become involved in CPS (Young, Boles, & Otero, 2007). A small number of studies have documented the overlap between the criminal justice system and CPS. For example, in a representative sample of U.S. children who were reported to CPS, the primary caregiver had a prior arrest record in 30 percent of the cases (Phillips & Dettlaff, 2009), was arrested within six months prior to the CPS report in 12 percent of cases (Phillips, Burns, Wagner, & Barth, 2004), and was placed on probation in the year prior to the investigation in 5 percent of cases (Phillips, Leathers, & Erkanli, 2008). While these studies by Phillips and colleagues (2004, 2008, 2009) excluded children who entered foster care, another study documented similarly high levels of criminal involvement among the mothers of children who entered foster care—with 5 percent of mothers incarcerated during the child’s foster care placement (Ross, Khashu, & Wamsley, 2004). Despite the high rate of overlap between the two systems documented by these studies, it may be underreported. The studies by Phillips and colleagues (2004, 2008, and 2009) excluded caregivers who were serving jail or prison sentences from follow-up data collection, and in the study by Ross et al. (2004), fathers’ criminal involvement was not examined. Yet, nationally, adult males were arrested twice as often as adult females (U.S. Department of Justice, 2013).

A main tenet of adult DTCs is connecting individuals to substance-use treatment services. To the extent that parental substance-use treatment can reduce parents’ misuse of substances and, in turn, children’s risk of maltreatment, DTCs may reduce children’s probability of becoming involved in CPS. Mixed results have been reported on the effect of a parent’s completion of substance-use treatment services on children’s experiences in the child welfare system (Barth, Gibbons, & Guo, 2006; Brook & McDonald, 2007; Green, Rockhill, & Furrer, 2007; Gregoire & Schultz, 2001; Grella, Needell, Shi, & Hser, 2009). One study found that those who received substance-use treatment were nearly twice as likely to have a child reported for abuse over an 18 month follow-up period (Barth et al., 2006). Another study found that the time until reunification did not differ between participants and nonparticipants of a substance-use treatment program, and children of program participants were more likely to re-enter foster care (Brook & McDonald, 2007). Further, neither program completion nor sobriety attainment improved a parent’s chance of being reunified with their child (Gregoire & Schultz, 2001). Other studies have found more encouraging results for the effect of substance-use treatment services and keeping families intact. For example, children spent less time in foster care when their mother’s substance-use treatment was initiated more quickly, when she spent more time in treatment, and when she completed at least one treatment episode (Green et al., 2007). Perhaps one of the more promising outcomes of existing studies found that among mothers who participated in a substance-use treatment program, those who completed 90 or more days of treatment roughly were twice as likely to be reunified with their children (Grella et al., 2009).

Methods

Data

Data for this study were drawn from four sources (Figures 1 and 2). First, information on parental convictions for criminal offenses came from the North Carolina Administrative Office of the Courts (AOC). Second, the AOC also supplied information on parental participation in adult DTCs via the Drug Treatment Court Management Information System (DTC-MIS). Third, birth records served as a means to link adult criminal and DTC records with their children’s CPS records. Birth records also provided information on key attributes known to predict youth outcomes, including maternal education, maternal age at child’s birth, and receipt of timely prenatal care. Fourth, the North Carolina Division of Social Services provided information regarding children’s involvement with CPS. This study was approved by the Duke University Institutional Review Board. Because the data for this study are protected, data use agreements were obtained from each public agency from which data were obtained.

Figure 1.

Figure 1

Linking Administrative Datasets to Create Analytic Samples

Note: This figure documents how information from each administrative dataset was used to create the final analytic samples. The birth records provided a means of creating a crosswalk between parents and their children. The subsamples were an intermediate step toward creating the final analytic subsamples.

*After applying exclusion criteria, our final analytic samples were created. Exclusion criteria: Sample was limited to an individual’s first observed conviction or DTC referral; If both parents were convicted or referred, then mother’s information was used; observations with item missingness on covariates were

Figure 2.

Figure 2

Linking Birth Records to Child Protective Services Administrative Data to Create the Dependent Variable

Note: Note: This figure documents how information from child’s birth records was linked to data from the North Carolina Division of Social Services in order to determine if a child had been the subject of an investigation or assessment by child protective services.

Analytic Samples

Part one of this study examined whether children whose parents were convicted of a substance-related offense were at an increased risk of being reported to CPS. Children’s birth records from 1989 to 2012 were linked to their parents’ court records from 2005 to 2013 (Figure 1). Three groups of parent-child pairs were considered: group one consisted of children whose parents were convicted on a substance-related charge from 2005 to 2010; group two consisted of children of whose parents were convicted on a non-substance-related charge during 2005–10;1 excluded from this group were individuals who were convicted of a substance-related offense in later years (2011–13); and group three consisted of children whose parents were not convicted of any offense during any of the years that we were able to observe. Because group three was large (2.0 million children), a 30 percent random sample was used to select matched comparisons. To create mutually exclusive groups, parents who were referred to a DTC during any available year of data (2000–12) were included only in part two of this study.

Part two of this study was limited to children whose parents were referred to an adult DTC between 2005 and 2010. Representing a progression through the court system, four levels of parental participation in an adult DTC were considered: (a) referred but not enrolled, (b) enrolled for less than 90 days but did not complete, (c) enrolled for more than 90 days but did not complete, and (d) completed. We chose the 90-day cutoff for enrollment based on prior research that demonstrated that at least 90 days of treatment participation was required to optimize treatment outcomes (Simpson, 1981; Simpson, Joe, & Broome, 2002).

Measures

The dependent variable indicated whether CPS received a report on a child and took action to investigate or assess the situation (referred to CPS). We were able to link 93 percent of children who were referred to CPS to their birth record (Figure 2). The follow-up window for part one of our study began one year following the parent’s conviction date and one year following the parent’s referral date to a DTC for part two. The window ended three years following the conviction or referral date. To establish the follow-up window for children of parents who were not convicted on any charge, a “conviction” date between January 1, 2005, and May 31, 2013, was randomly assigned to these parents.

The key covariate in part one of this study was the type of charge on which the parent was convicted: (a) substance-related, (b) non-substance-related (other), and (c) not convicted on any charge, the omitted reference group. The key covariates in part two were related to how far a parent progressed in the adult DTC—ranging from only referred but not enrolling, to the omitted reference group, to completing a DTC program.

Mutually exclusive binary variables indicated which parent was convicted of a crime in part one or was referred to a DTC in part two. These covariates were: father only, both parents, and mother only as the omitted reference group. The models included a binary variable for parent’s age at time of conviction or referral as either 30 years or over—with younger being the reference category.

The study also controlled for other factors previous studies have found to be related to the probability of being reported for child maltreatment, including race/ethnicity (Fluke, Yuan, Hedderson, & Curtis, 2003; Putnam-Hornstein, Needell, King, & Johnson-Motoyama, 2013); child’s age (U.S. Department of Health and Human Serivces & Administration for Children and Families, 2013); socioeconomic status (Jonson-Reid, Drake, & Kohl, 2009); and factors measured at birth, including lack of timely prenatal care, teenage mother, maternal educational attainment, and established paternity (Putnam-Hornstein & Needell, 2011; Putnam-Hornstein et al., 2013; Wu et al., 2004; Zhou, Hallisey, & Freymann, 2006). Specifically, child demographic characteristics were race/ethnicity coded as mutually exclusive categories for Black non- Hispanic, White non-Hispanic; Other non-Hispanic, and Hispanic (any race); female gender, with male as the omitted reference group; and child’s age as younger than one year, one to three years, four to six years, and seven to 18 years. The child’s birth records also provided information on families’ socioeconomic status at time of the child’s birth—mother’s education (coded as a binary variable for 1 is less than high school vs. 0 otherwise), mother’s age at child’s birth (coded as 1 for mother younger than 20 at child’s birth vs. 0 otherwise), whether a father was listed on the birth certificate (1=not listed vs. 0 for father listed), whether the mother initiated prenatal care in a timely fashion (1=initiated care in first trimester vs. 0 for initiated later or not at all), and whether the child had a low birth weight (1=<2,500 grams and 0= 2,500 grams or higher).

Statistical Approach

Part one of this study relied on propensity score matching (PSM) to select control groups because children of parents who were and were not convicted differed on many characteristics. The PSM approach used was one-to-one nearest neighbor matching in Stata 13 using the command psmatch2 (Leuven & Sianesi, 2003). The quality of the match was assessed by examining the percent standardized differences before and after matching, and t-tests were used to compare mean differences. The standardized difference is the percent difference of the means of the treatment and control groups as a percentage of the square root of the two groups’ average sample variances (Rosenbaum & Rubin, 1985). This was computed using a user-written command pstest for Stata (Leuven, 2003). An advantage of examining percent standardized difference is that it is not influenced by sample size; the analysis sample for the first part of our study was large, such that even small differences in means were statistically significant (Austin, 2009). The guideline we used for determining whether the match was satisfactory was a standardized difference of less than 10 percent.

Because part two of this study was limited to children of parents who were at least referred to a DTC and, as a result, the comparison groups were drawn from a plausibly more homogeneous population, propensity score matching was not used. Regression analysis was used to control for demographic and socioeconomic risk factors for involvement with CPS. Multivariate logistic regression was used to assess a child’s odds of being referred to CPS during a three-year follow-up period. Models accounted for clustering of children who had the same mother.

Results

Part 1: Are children of parents who were convicted of a substance-related offense at increased risk of becoming involved with child protective services?

Part 1A. Comparison of children based on parents’ conviction status

Prior to matching, the children whose parents were convicted of a substance-related offense differed from the children of non-offending parents on many characteristics; after matching, the characteristics of the two groups were more balanced, as indicated by all of the standardized differences being below 10 percent (Table 1). Even before matching, children of parents convicted on a substance-related charge were fairly similar to children whose parents were convicted on a non-substance-related charge. Because of the large sample size, many of the differences were statistically significant, but the standardized differences between the children of parents convicted for substance-related vs. non-substance-related offenses were generally low. Exceptions included which parent was convicted (mother, father, or both) and whether a father was listed on the birth certificate. Even after matching, a higher proportion of children of substance-related offenders had a father involved in the criminal justice system relative to children whose parent was convicted of other offenses (69% versus 61%), and the standardized difference remained above 10 percent.

Table 1.

Comparison of Child Characteristics Based on Parental Conviction Before and After Propensity Score Matching

Variables Sample: Raw vs. Matched Parental Conviction Group (By Offense Type) None vs. Substance (A vs. B) Substance vs. Other (B. vs. C)

None1 (A) (%) Substance (B) (%) Other (C) (%) %std dif. t-stat (p-value)2 %std dif. t-stat (p-value)3
CPS report 1–3 years after conviction4 Raw 4.6 16.8 18.8 −137.577a (0.000) 11.835a (0.000)
Matched 7.7 16.8 18.4 −62.589a (0.000) 9.279a (0.000)
Parent convicted (reference=mother only)
 Father only Raw NA 69.4 52.7 34.8 −79.976a (0.000)
Matched 69.4 60.9 17.8 −40.099a (0.000)
 Both parents Raw NA 10.2 15.4 −15.6 35.873a (0.000)
Matched 10.2 13.2 −8.9 20.566a (0.000)
Parent < 30 at conviction5 Raw 25.0 42.6 43.2 37.8 −111.442a (0.000) −1.3 2.888b (0.004)
Matched 43.2 42.6 43.0 −1.3 2.684b (0.007) −0.9 1.895 (0.058)
Child characteristics
 Child race/ethnicity (reference=White non-Hispanic)
  Black non-Hispanic Raw 20.4 38.9 42.7 41.2 −123.962a (0.000) −7.9 18.138a (0.000)
Matched 38.4 38.9 36.4 1.1 −2.244c (0.025) 5.1 −11.625a (0.000)
  Other non-Hispanic Raw 6.1 8.9 8.4 10.3 −30.817a (0.000) 1.7 −3.877a (0.000)
Matched 8.8 8.9 9.1 0.2 −0.467 (0.641) −0.9 1.970c (0.049)
  Hispanic Raw 13.2 5.2 4.6 −27.8 70.521a (0.000) 2.8 −6.471a (0.000)
Matched 5.2 5.2 5.0 0.2 −0.566 (0.571) 1 −2.261c (0.024)
 Child Female Raw 48.8 49.2 48.9 0.8 −2.373c (0.018) 0.6 −1.415 (0.157)
Matched 49.1 49.2 49.1 0.2 −0.462 (0.644) 0.2 −0.498 (0.618)
 Child’s age (at conviction)5 (reference=7–14 years old)
  <1 year Raw 7.2 8.1 8.3 3.4 −9.852a (0.000) −1 2.249c (0.024)
Matched 7.7 8.1 7.4 1.5 −3.352a (0.001) 2.2 −5.101a (0.000)
  1–3 years Raw 21.2 24.6 25.4 8.1 −23.188a (0.000) −1.8 4.195a (0.000)
Matched 22.7 24.6 24.0 4.6 −10.092a (0.000) 1.4 −3.219b (0.001)
  4–6 years Raw 20.5 22.5 22.0 4.8 −13.793a (0.000) 1.2 −2.664b (0.008)
Matched 21.3 22.5 22.8 2.9 −6.412a (0.000) −0.8 1.700 (0.089)
Child characteristics at birth
 Low or very low birth weight (reference= >2500+gr) Raw 7.2 10.4 10.4 11.4 −33.919a (0.000) 0 −0.114 (0.909)
Matched 10.3 10.4 10.6 0.3 −0.567 (0.571) −0.8 1.683 (0.092)
 Prenatal care started > 1st trimester (reference=1st trimester) Raw 14.5 23.4 24.0 23 −68.959a (0.000) −1.4 3.131b (0.002)
Matched 24.4 23.4 23.9 −2.6 5.198a (0.000) −1.2 2.777b (0.005)
 No father on birth certificate (reference=father listed) Raw 8.6 6.8 10.4 −6.6 18.050a (0.000) −12.8 29.422a (0.000)
Matched 8.7 6.8 8.8 −7.2 15.879a (0.000) −7.1 16.623a (0.000)
 Maternal education <H.S. (reference=H.S. or greater) Raw 18.8 35.8 36.6 38.9 −117.377a (0.000) −1.7 3.810a (0.000)
Matched 35.9 35.8 37.9 −0.2 0.421 (0.674) −4.4 9.780a (0.000)
 Mother < 20 years old at birth (reference=20 years+) Raw 10.2 26.1 26.2 42.3 −135.335a (0.000) −0.1 0.169 (0.865)
Matched 26.5 26.1 26.4 −1.0 −1.83 (0.067) −0.7 1.616 (0.106)

Number of Observations Raw 410,555 99,323 114,700
Matched 99,323 99,323 99,323
1

This is a 30 percent random sample of the full sample of eligible children whose parents were not convicted of any offense other than infractions or traffic offenses during 2005–2013.

2

Degrees of freedom: Unmatched=509,876, Matched=198,644

3

Degrees of freedom: Unmatched=214,021, Matched=198,644

4

This is the dependent variable and was not included in matching.

5

Children of parents who were never convicted were assigned a “pseudo conviction date” that was randomly generated.

%std dif=% standardized difference

a

p<0.001,

b

p<0.01,

c

p<0.05

Part 1B: Parental conviction and child’s risk of involvement with child protective services

Children whose parents were not convicted of any offense had 66 percent lower odds of being reported to child protection services than children of parents convicted of a substance-related offense, after controlling for other factors (Table 2). In contrast, children of parents convicted on a substance-related offense had slightly lower odds of being reported to CPS than children of parents convicted on non-substance-related offenses. Many of the covariates were also predictive of a CPS report, such as low maternal education, young child age, and having both parents convicted of an offense.

Table 2.

Logistic Regression Results: Odds of Child Being Reported to Child Protective Services by Parent’s Conviction Status

Odds Ratio 95% Confidence Interval
Parental Conviction (reference=substance-related)
 No conviction 0.343a 0.328 – 0.359
 Non-substance-related conviction only 1.036c 1.004 – 1.069
Parent convicted (reference=Mother)
 Father 0.708a 0.679 – 0.737
 Both parents 1.530a 1.458 – 1.606
Parent’s age <30 at conviction1 (reference=30+) 1.177a 1.138 – 1.218
Child’s Race/ethnicity (reference=White-non-Hispanic)
 Black non-Hispanic 0.806a 0.782 – 0.831
 Other non-Hispanic 0.982 0.938 – 1.028
 Hispanic 0.572a 0.535 – 0.612
 Unknown race/ethnicity 0.786 0.409 – 1.511
Child female (reference=male) 1.007 0.986 – 1.029
Child’s age at conviction1 (reference=714 years)
 Less than 1 year at first conviction 1.354a 1.295 – 1.417
 1–3 years old at first conviction 1.289a 1.248 – 1.331
 4–6 years old at first conviction 1.158a 1.124 – 1.193
Low or very low birth weight (reference= >2500+gr) 1.141a 1.100 – 1.184
Prenatal care initiated after first trimester (reference=1st trimester) 1.119a 1.090 – 1.149
No father on birth certificate (reference=father listed) 1.354a 1.294 – 1.415
Maternal education <H.S. (reference=H.S. or greater) 1.950a 1.894 – 2.006
Mother < 20 years old at child's birth (reference=20 years or more) 1.042b 1.012 – 1.072
Constant 0.152a 0.145 – 0.159

# of children 297,969
1

Children of parents who were never convicted were assigned a “pseudo conviction date” that was randomly generated.

Model accounted for clustering across children with the same mother.

a

p<0.001,

b

p<0.01,

c

p<0.05

Part 2. Does parental participation in an adult drug treatment court reduce the probability that a child will become involved with Child Protective Services?

Part 2A. Comparison of children based on parents’ participation in an adult drug treatment court

Children of parents convicted on a substance-related charge but not referred to a DTC differed on a number of attributes from children whose parents were both convicted on a substance-related charge and referred to a DTC program but who did not enroll (Table 3). Importantly, there was a five percentage point gap in being reported to CPS between children whose parents were referred to a DTC program but who did not enroll and those whose parents were convicted of a substance-related offense (22% vs. 17% t(100,744)=-5.278, p=0.000). Among children whose parent was referred to a DTC program but who did not enroll, mothers (48%) and fathers (51%) were nearly equally distributed as the criminally involved parent. In contrast, for children whose parent was convicted of a substance-related crime, fathers (69%) were typically the criminally involved parent, with it not being uncommon for both parents to be involved (10%). Socioeconomic factors identified on the child’s birth certificate were statistically significant but relatively small in magnitude (less than three percentage points) for these two groups. An exception was that a higher proportion of children of parents who were referred but did not enroll lacked a father on their birth certificate, relative to children of parents who were convicted of a substance-related offense (16% vs. 7% t(100,744)=−13.293, p=0.000).

Table 3.

Descriptive Statistics of Children Whose Parents Were Convicted of a Substance-Related Crime or Participated in a DTC Referral Program

Parental DTC Group2
Substance conviction1 (A) Referred (B) Enrolled <90 days (C) Enrolled 90+ days (D) Completed (E) Substance vs. Referred (A vs. B) Referred vs. Enrolled <90 days (B vs. C) Referred vs. Enrolled 90+ days (B vs. D) Referred vs. Completed (B vs. E)

(%) (%) (%) (%) (%) t-stat (p-value)3 t-stat (p-value)4 t-stat (p-value)5 t-stat (p-value)6
CPS report 1–3 years after referral/conviction 16.8 22.1 18.3 26.8 19.6 −5.278a (0.000) 1.357 (0.175) −2.177c (0.030) 1.143 (0.253)
Parent convicted/referred to DTC (reference=mother)
 Father 69.4 50.5 45.9 52.6 60.2 1.340 (0.180) −0.842 (0.400) −3.699a (0.000)
 Both parents 10.2 1.2 2.3 0.8 0.8 11.214a (0.000) −1.447 (0.148) 0.785 (0.433) 0.636 (0.525)
Parent under 30 at conviction/referral 42.6 40.2 42 45.4 31.6 1.824 (0.068) −0.549 (0.583) −2.069c (0.039) 3.358a (0.001)
Child characteristics
 Child’s race/ethnicity (reference=White non-Hispanic)
  Black non-Hispanic 38.9 44.7 41.2 35.7 43.2 −4.468a (0.000) 1.025 (0.306) 3.539a (0.000) 0.583 (0.560)
  Other non-Hispanic 8.9 6.7 6.2 7.6 6.7 2.875b (0.004) 0.267 (0.789) −0.687 (0.492) −0.046 (0.963)
  Hispanic 5.2 2.9 1.2 3.5 3.2 3.956a (0.000) 1.584 (0.113) −0.695 (0.487) −0.308 (0.758)
 Child Female 49.2 47.9 43.2 47.6 46.9 0.950 (0.342) 1.400 (0.162) 0.138 (0.890) 0.370 (0.711)
 Child’s age at conviction/referral (reference=7–14 yrs)
  <1yr 8.1 6.0 5.1 8.3 6.9 2.777b (0.005) 0.617 (0.537) −1.800 (0.072) −0.703 (0.482)
  1–3 years 24.6 23.4 27.2 26.8 22.9 1.027 (0.304) −1.325 (0.185) −1.539 (0.124) 0.203 (0.840)
  4–6 years 22.5 23.3 22.2 20.4 16.2 −0.720 (0.471) 0.378 (0.705) 1.338 (0.181) 3.246b (0.001)
Child characteristics at Birth
 Low or very low birth weight 10.4 13.8 14.8 14.6 12 −4.225a (0.000) −0.400 (0.689) −0.402 (0.687) 1.022 (0.307)
 Prenatal care initiated after first trimester 23.4 26.5 26.5 28.5 22.9 −2.731b (0.006) 0.011 (0.991) −0.897 (0.370) 1.533 (0.125)
 No father on birth certificate 6.8 15.8 17.5 17.5 11.2 −13.293a (0.000) −0.682 (0.495) −0.877 (0.381) 2.487c (0.013)
 Maternal education <H.S. 35.8 39.3 37.4 40.8 29.5 −2.748b (0.006) 0.583 (0.560) −0.593 (0.553) 3.851a (0.000)
 Mother < 20 years old at child's birth 26.1 24.2 19.5 26.2 18.3 1.608 (0.108) 1.667 (0.096) −0.887 (0.375) 2.672b (0.008)
# of children 99,323 1,423 257 515 475
# of parents 71,060 1,039 165 373 347
1

Parental substance convictions occurred from 2005–2010. Individuals who were referred to a DTC program were excluded from this sample.

2

DTC groups are mutually exclusive

3

Degrees of freedom=100,744

4

Degrees of freedom=1,678

5

Degrees of freedom=1,936

6

Degrees of freedom=1,896

a

p<0.001,

b

p<0.01,

c

p<0.05

There were no statistically significant differences between children whose parents were referred to a DTC program and did not enroll and those whose parents enrolled for less than 90 days but did not complete. However, a higher proportion of children whose parents enrolled in a DTC program for more than 90 days without completing were reported to CPS than children whose parents were referred but did not enroll (27% vs. 22% t(1,936)=−2.177, p=0.030); a key difference between these two groups was that 36 percent of children whose parents enrolled for more than 90 days without completing were Black non-Hispanic, relative to 45 percent of those who were referred but did not enroll (t(1,936)=3.539, p=0.000).

Children of parents who completed the DTC program differed from children of parents who were referred but did not enroll on a number of characteristics. Fathers were the DTC participant for 60 percent of children whose parent completed the program but only 51 percent for children whose parents were referred but did not enroll. Parents who participated in the DTC program tended to be older in the completion sample, relative to the referred but did not enroll sample. A key difference is that a higher proportion of children whose parents were referred but did not enroll in a DTC program had a mother with less than a high school degree (39% vs. 30% t(1,896)=3.851 p=0.000) and a teenage mother (24% vs. 18% t(1,896)=2.672 p=0.008), relative to children whose parent completed the DTC program.

Part 2B. Parental DTC participation and children’s risk of child protective services involvement

Parental participation level in a DTC program did not affect the probability of a child being reported to CPS during follow-up (Table 4). There were no statistically significant differences in the odds of a report in any of the comparisons. Some other results were statistically significant at conventional levels. Children of mothers who were referred to a DTC had higher odds of being reported to CPS than children whose fathers participated or children where both parents participated. Young children—infants and 1–3 year olds—were more likely to be reported to CPS than older youth aged 7–14. Low maternal education was also predictive of greater odds of being reported to CPS.

Table 4.

Logistic Regression Results: Odds of Child Being Reported to Child Protective Services by Parent’s Participation in s DTC program

Odds Ratio 95% Confidence Interval
DTC Participation Level (reference=referred not enrolled)
 Enrolled < 90 days (not complete) 0.780 0.493 – 1.234
 Enrolled 90 or more days (not complete) 1.280 0.946 – 1.732
 Completed 0.944 0.670 – 1.330
Parent referred (reference=Mother)
 Father referred to DTC 0.610a 0.471 – 0.791
 Both parents referred to DTC 0.289c 0.087 – 0.964
 Parent was under 30 at time of first referral to DTC 1.186 0.879 – 1.599
Child’s Race/ethnicity (reference=White-non-Hispanic)
 Black non-Hispanic 1.055 0.820 – 1.357
 Other non-Hispanic 0.796 0.468 – 1.356
 Hispanic 1.035 0.533 – 2.010
Child female (reference=male) 1.029 0.852 – 1.243
Child’s age at referral (reference=714 years)
 Less than 1 year at first referral 1.549c 1.035 – 2.319
 1–3 years old at first referral 1.370c 1.032 – 1.818
 4–6 years old at first referral 1.054 0.803 – 1.382
Low or very low birth weight (reference= >2500+gr) 0.889 0.661 – 1.195
Prenatal care initiated after first trimester (reference=1st trimester) 1.050 0.841 – 1.311
No father on birth certificate (reference=father listed) 0.730 0.531 – 1.003
Maternal education <H.S. (reference=H.S. or greater) 1.655a 1.299 – 2.110
Mother < 20 years old at child's birth (reference=20 years or more) 1.053 0.816 – 1.360
Constant 0.245a 0.181 – 0.330

# of children 2,670

Model accounted for clustering across children with the same mother.

a

p<0.001,

b

p<0.01,

c

p<0.05

Discussion

Our results demonstrated that children of parents who were convicted on either a substance-related or other offense were at risk for CPS involvement. Contrary to our hypothesis, parental participation in an adult DTC program did not appear to mitigate this harm. This result coincides with findings from another study examining the impact of adult DTCs on child educational outcomes. In this study, using the same data, we could not detect an intergenerational benefit on children’s school performance resulting from parents’ participation in an adult DTC (Gifford, Sloan, Eldred, & Evans, 2015). In contrast to our findings on adult DTCs, family DTCs do have a significant impact on the well-being of children. The children of participants completing a family DTC program had both shorter stays in foster care and higher rates of reunification with their parent (Gifford et al., 2014b).

A key distinction between criminal adult and family DTCs is that family DTCs operate in a civil court system that has the focus of helping substance-using parents regain or retain custody. With this in mind, family DTCs coordinate services with social service agencies, and participants are provided treatment specific to parenting and emotion management in addition to traditional substance-use treatment. In contrast, adult DTCs function primarily with partners within criminal justice agencies, such as probation officers or the sheriff’s department, and treatment providers. The focus of adult DTCs is on adults and the issues most directly related to their substance use, including preventing substance-use relapse and criminal recidivism. Fostering relationships with social service agencies in addition to criminal justice agencies and treatment providers could expand the therapeutic value of the court and create the potential to improve outcomes for children of adult DTC participants.

In one respect, it is disappointing, but not surprising, that our results showed children of substance abusers fared worse than their peers, but this finding is consistent with previous research (Johnson & Leff, 1999; Semidei, Feig Radel, & Nolan, 2001; Skinner, Fleming, Haggerty, & Catalano, 2014). Improved outcomes for children would at best occur only as a byproduct of their beneficial effects on parents. The structure of these two types of courts suggests that for a diversionary treatment program to improve outcomes for children of participants, it must not only treat a substance user’s addiction, but there also must be resources aimed at family preservation. Additionally, therapeutic jurisprudence faces a number of criticisms, not the least of which includes the objections that coerced treatment is not as effective as non-coerced treatment in a criminal justice setting and that the entire basis for therapeutic jurisprudence may be at odds with a traditional treatment approach. These criticisms have implications not only for the successful completion of drug treatment, but also for the parent-child relationship. Successful recovery from substance use often includes many relapses, but when occurring in a criminal justice setting, these relapses may result in jail time or other penal outcomes (Fulton Hora, 2002). DTCs also create entry and completion barriers for certain populations, in particular immigrants, those with histories of violent crime, and indigent populations (Orr et al., 2009).

Our finding that CPS involvement was even more likely for parents convicted on non-substance-related charges implies that specialized courts that are more broadly conceived than adult DTCs may be needed to cope with issues related to child maltreatment. Suspected child maltreatment that leads to CPS involvement may reflect only relatively severe forms of neglect and abuse. If we had additional information on factors such as the children’s home environment, family interactions, and children’s physical health and mental health, we might have found that parental participation in an adult DTC improved some dimensions of child well-being (Pollard & Lee, 2003). Considering that most (87%) of the CPS involvement among the children in this study was for neglect, well-being may need to be measured in more nuanced ways that reflect neglect (Mennen, Kim, Sang, & Trickett, 2010).

The overlap between the parents who are involved with the criminal justice system—regardless of their involvement with a DTC program—and their children’s involvement with CPS suggests that therapeutic courts could play a role in addressing families’ needs. Therapeutic courts are not without their criticisms. For example, some courts are set up in a pre-plea model. This model requires that defendants waive their right to a speedy trial in order to enter the DTC (Mitchell et al., 2012). In the alternative, post-plea models require a defendant to plead guilty before being allowed access to the services provided by a DTC. Both models pose constitutional issues of due process. In other courts, if a sentence is suspended pending successful completion of a DTC, failure to complete the DTC program results in reinstatement of the original sentence, and possible other penalties (Gifford et al., 2014a). Other criticisms focus on the quality of the services that are offered and whether there is equitable access to the services across participants (Murphy, 2012). Any court that strives to couple supports with the criminal process should consider these potential harms and develop strategies to mitigate them.

Our study has several important strengths. The most important strength is that our data allow us to study intergenerational effects of participation in adult DTC programs. The data are longitudinal, which allowed us to assess the probability of CPS involvement after the receipt of the DTC intervention. We not only had data on referrals to and participation in adult DTC programs, but we also had data on the biological children of parents who had not participated in such programs but were convicted on a substance-related or other charge or not convicted at all for the purpose of comparing rates of CPS involvement over a follow-up period. The study covered an entire state rather than a single locality or DTC program. Because court systems did not choose to be either included or excluded from this study, our results are not biased by such selection forces.

We acknowledge several study limitations. Our data do not allow us to track outcomes for individuals who move out of state or even to determine which individuals have moved. The most important limitation is that we could only make inferences based on the child’s biological parent. However, children may not live or even interact with their biological parent. We lacked information on children’s living arrangements, including grandparents, stepparents, and cohabiting partners who may have cared for the child. Currently, administrative criminal databases are designed to track the alleged offender through the criminal system. Given the growing knowledge that criminal involvement may have collateral consequences on the alleged offender’s family members, public systems should consider ways to better track outcomes for family members—particularly minor dependents (Akesson et al., 2012). Such tracking could then be used to improve public systems in ways that minimize harm and reduce societal costs (Lynn, Heinrich, & Hill, 2000). Findings may be able to reveal factors that enable or impede an individual’s ability to enroll in and/or complete specialty courts. For example, primary caretakers of minor children may be less able to meet the current demands of a specialty court. With this knowledge, court practices could be altered to better accommodate participants’ needs.

An additional limitation has to do with our measure of child maltreatment; reports for alleged maltreatment are not synonymous with child maltreatment. Nevertheless, researchers have shown that children who are reported to CPS, regardless of whether the case was substantiated or not, were at similar risk for a host of negative outcomes, such as behavioral and developmental outcomes (Hussey et al., 2005) or being re-reported to CPS (Kohl, Jonson-Reid, & Drake, 2009). Moreover, parents who have come to the attention of the courts may be under extra scrutiny by law enforcement and social services. Therefore, the higher rate of CPS involvement may partially reflect this increased supervision. Because comparison samples were drawn from children with court-involved parents, this factor is less likely to be affecting our results. Finally, our four levels of DTC progression (from being referred but not enrolling all the way through completion) may not fully capture unobserved sources of heterogeneity between groups that affect a child’s risk of subsequent CPS involvement. Because we do not observe a beneficial effect, even in those who successfully complete the program, it is doubtful that these unobserved factors have biased our results.

Finally, our measures of progression through the DTC were based on the participants’ decision to enroll, the amount of time they remained enrolled, and whether or not they completed the program. Progression through these stages may be correlated with unobserved factors. For example, those who enroll may be more ready to receive treatment, to be amenable to recovery services, and to make lifestyle changes. Length of time in treatment is, to some extent, set by the court policies but also reflects whether an individual is able to comply with court regulations. The administrative data used in this study did not allow us better understand treatment motivation or compliance. Regardless, our assumption is that individuals who completed the DTC program would have been more likely to be motivated to enroll, to comply with treatment, and to make life changes, and that these factors likewise would be related to better child outcomes. That is, individuals who complete a DTC program inherently have the factors to be more successful by the fact that they were successful. Yet, even so, we still find no effect on child outcomes. Therefore, our finding that children of parents who completed were not at reduced risk of CPS involvement relative to children who were referred is robust.

Despite these limitations, this analysis offered unique insight into patterns of interagency involvement—here the criminal justice and child welfare systems—that researchers are rarely able to document. Jonson-Reid and Drake (2008) acknowledged the need for multi-sector, longitudinal, administrative data to conduct research that could inform better policies for serving children and families at risk for maltreatment. Given recent documentation of the collateral consequences that children of parents who are criminally involved face, this study examines outcomes for children within one public system. This study did not find that adult DTCs mitigated the risk of children’s involvement with CPS. However, given the sizable overlap in the populations served by the two systems, it raises the question as to whether problem-solving courts could be a strategy to improve child well-being for this vulnerable group.

Acknowledgments

Funding: National Institute of Drug Abuse No. 5R01DA032548-02 & Robert Wood Johnson Public Health Law

Footnotes

1

The six most common non-substance-related charges were misdemeanor offenses: simple worthless check, larceny, assault on a female, resisting public officer, simple assault, and communicating threats.

Contributor Information

Dr Elizabeth J. Gifford, Email: beth.gifford@duke.edu, Duke University, Center for Child and Family Policy, Box 90545, Box 90545, Durham, 27708 United States.

Ms Lindsey M. Eldred, Email: lindsey.eldred@duke.edu, Duke University, Department of Economics, Durham, 27708 United States.

Dr Frank A. Sloan, Email: fsloan@duke.edu, Duke University, Department of Economics, Durham, 27708 United States

Ms Kelly E. Evans, Email: kelly.evans@duke.edu, Duke University, Center for Child and Family Policy, Box 90545, Durham, 27708 United States.

References

  1. Akesson B, Smyth JM, Mandell DJ, Doan T, Donina K, Hoven CW. Parental involvement with the criminal justice system and the effects on their children: a collaborative model for researching vulnerable families. Social work in Public Health. 2012;27(1–2):148–164. doi: 10.1080/19371918.2012.629898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Andreas JB, O'Farrell TJ. Alcoholics Anonymous attendance following 12-step treatment participation as a link between alcohol-dependent fathers' treatment involvement and their children's externalizing problems. Journal of Substance Abuse Treatment. 2009;36(1):87–100. doi: 10.1016/j.jsat.2008.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine. 2009;28(25):3083–3107. doi: 10.1002/sim.3697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Barth RP, Gibbons C, Guo S. Substance abuse treatment and the recurrence of maltreatment among caregivers with children living at home: A propensity score analysis. Journal of Substance Abuse Treatment. 2006;30(2):93–104. doi: 10.1016/j.jsat.2005.10.008. [DOI] [PubMed] [Google Scholar]
  5. Belenko S. Research on Drug Courts: A critical review. National Drug Court Institute Review, I. 1998;(1):1–27. [Google Scholar]
  6. Boldt RC. The 'Tomahawk' and the 'Healing Balm': Drug treatment courts in theory and practice. University of Maryland Law Journal of Race, Religion, Gender and Class. 2010;10(1):1–26. [Google Scholar]
  7. Brook J, McDonald TP. Evaluating the effects of comprehensive substance abuse intervention on successful reunification. Research on Social Work Practice. 2007;17:664–673. [Google Scholar]
  8. Carey SM, Finigan MW. A detailed cost analysis in a mature drug court setting: A cost-benefit evaluation of the Multnomah county drug court. Journal of Contemporary Criminal Justice. 2004;20(3):315–338. [Google Scholar]
  9. Famularo R, Kinscherff R, Fenton T. Parental substance abuse and the nature of child maltreatment. Child Abuse & Neglect. 1992;16(4):475–483. doi: 10.1016/0145-2134(92)90064-x. [DOI] [PubMed] [Google Scholar]
  10. Fluke JD, Yuan YYT, Hedderson J, Curtis PA. Disproportionate representation of race and ethnicity in child maltreatment: Investigation and victimization. Children and Youth Services Review. 2003;25(5–6):359–373. [Google Scholar]
  11. Fulton Hora P. A dozen years of drug treatment courts: Uncovering our theoretical foundation and the construction of a mainstream paradigm. Substance Use & Misuse. 2002;37(12–13):1469–1488. doi: 10.1081/ja-120014419. [DOI] [PubMed] [Google Scholar]
  12. Gifford EJ, Eldred LM, McCutchan SA, Sloan FA. The effects of participation level on recidivism: a study of drug treatment courts using propensity score matching. Substance Abuse Treatment, Prevention, and Policy. 2014a;9(1):40. doi: 10.1186/1747-597X-9-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Gifford EJ, Eldred LM, Vernerey A, Sloan FA. How does family drug treatment court participation affect child welfare outcomes? Child Abuse & Neglect. 2014b;38:1659–1670. doi: 10.1016/j.chiabu.2014.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Gifford EJ, Sloan FA, Eldred LM, Evans KE. Intergenerational effects of parental substance-related convictions and adult drug treatment court participation on children's school performance. American Journal of Orthopsychiatry. 2015;85(5):452–468. doi: 10.1037/ort0000087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Goldkamp JS. Miami's Treatment Drug Court for felony defendants: Some implications of assessment findings. The Prison Journal. 1994;74(2):110–166. [Google Scholar]
  16. Green BL, Rockhill A, Furrer C. Does substance abuse treatment make a difference for child welfare case outcomes? A statewide longitudinal analysis. Children and Youth Services Review. 2007;29(4):460–473. [Google Scholar]
  17. Gregoire KA, Schultz DJ. Substance-abusing child welfare parents: Treatment and child placement outcomes. Child Welfare. 2001;80(4):433–452. [PubMed] [Google Scholar]
  18. Grella CE, Needell B, Shi Y, Hser YI. Do drug treatment services predict reunification outcomes of mothers and their children in child welfare? Journal of Substance Abuse Treatment. 2009;36(3):278–293. doi: 10.1016/j.jsat.2008.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Hussey JM, Marshall JM, English DJ, Knight ED, Lau AS, Dubowitz H, Kotch JB. Defining maltreatment according to substantiation: Distinction without a difference? Child Abuse & Neglect. 2005;29(5):479–492. doi: 10.1016/j.chiabu.2003.12.005. [DOI] [PubMed] [Google Scholar]
  20. Johnson JL, Leff M. Children of substance abusers: Overview of research findings. Pediatrics. 1999;103(5):1085–1099. [PubMed] [Google Scholar]
  21. Jonson-Reid M, Drake B. Multisector longitudinal administrative databases: An indispensable tool for evidence-based policy for maltreated children and their families. Child Maltreatment. 2008;13(4):392–399. doi: 10.1177/1077559508320058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jonson-Reid M, Drake B, Kohl PL. Is the overrepresentation of the poor in child welfare caseloads due to bias or need? Children and Youth Services Review. 2009;31(3):422–427. doi: 10.1016/j.childyouth.2008.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kelley ML, Fals-Stewart W. Couples- versus individual-based therapy for alcohol and drug abuse: Effects on children's psychosocial functioning. Journal of Consulting and Clinical Psychology. 2002;70(2):417–427. doi: 10.1037//0022-006x.70.2.417. [DOI] [PubMed] [Google Scholar]
  24. Kienberger Jaudes P, Ekwo E, Van Voorhis J. Association of drug abuse and child abuse. Child Abuse & Neglect. 1995;19(9):1065–1075. doi: 10.1016/0145-2134(95)00068-j. [DOI] [PubMed] [Google Scholar]
  25. Kohl PL, Jonson-Reid M, Drake B. Time to leave substantion behind: Findings from a national probability study. Child Maltreatment. 2009;14(1):17–26. doi: 10.1177/1077559508326030. [DOI] [PubMed] [Google Scholar]
  26. Latimer J, Morton-Bourgon K, Chretien J-A. A meta-analytic examination of drug treatment courts: Do they reduce recidivism? Research and Statistics Division, Department of Justice; 2006. [Google Scholar]
  27. Leuven E. PSTEST: Covariate imbalance testing and graphing. 2003 Retrieved from http://fmwww.bc.edu/repec/bocode/p/pstest.html on October 4, 2014.
  28. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. 2003 Retrieved from http://ideas.repec.org/c/boc/bocode/s432001.html October 4, 2014.
  29. Lloyd MH. Family drug courts: Conceptual frameworks, empirical evidence, and implications for social work. Families in Society: The Journal of Contemporary Social Services. 2015;96(1):49–57. [Google Scholar]
  30. Lynn LE, Heinrich CJ, Hill CJ. Studying governance and public management: Challenges and prospects. Journal of Public Administration Research and Theory. 2000;10(2):233–262. [Google Scholar]
  31. Marlowe DB. Research update on Adult Drug Courts. Alexandria, VA: National Association of Drug Court Professionals; 2010. [Google Scholar]
  32. Mennen FE, Kim K, Sang J, Trickett PK. Child neglect: Definition and identification of youth's experiences in official reports of maltreatment. Child Abuse & Neglect. 2010;34(9):647–658. doi: 10.1016/j.chiabu.2010.02.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Mitchell O, Wilson DB, Eggers A, MacKenzie DL. Assessing the effectiveness of drug courts on recidivism: A meta-analytic review of traditional and non-traditional drug courts. Journal of Criminal Justice. 2012;40(1):60–71. [Google Scholar]
  34. Murphy J. The continuing expansion of drug courts: Is that all there is? Deviant Behavior. 2012;33(7):582–588. [Google Scholar]
  35. National Assoc of Drug Court Professionals. Defining drug courts: the key components. Washington DC: U.S. Department of Justices; 1997. [Google Scholar]
  36. National Center on Addiction and Substance Abuse. No safe haven: Children of substance-abusing parents. Columbia University; 1999. [Google Scholar]
  37. Orr CH, Hall JW, Reimer NL, Mallett EA, O’Dowd K, Frazer AC. America’s problem solving courts: The criminal costs of treatment and the case for reform. National Association of Criminal Defense Lawyers; Washington DC: 2009. [Google Scholar]
  38. Phillips SD, Burns BJ, Wagner HR, Barth RP. Parental arrest and children involved with child welfare services agencies. American Journal of Orthopsychiatry. 2004;74(2):174–186. doi: 10.1037/0002-9432.74.2.174. [DOI] [PubMed] [Google Scholar]
  39. Phillips SD, Dettlaff AJ. More than parents in prison: The broader overlap between the criminal justice and child welfare systems. Journal of Public Child Welfare. 2009;3(1):3–22. [Google Scholar]
  40. Phillips SD, Erkanli A, Keeler GP, Costello EJ, Angold A. Disentangling the risks: parent criminal justice involvement and children's exposure to family risks. Criminology & Public Policy. 2006;5(4):677–702. [Google Scholar]
  41. Phillips SD, Leathers SJ, Erkanli A. Children of probationers in the child welfare system and their families. Journal of Child and Family Studies. 2008;18(2):183–191. [Google Scholar]
  42. Pollard EL, Lee PD. Child well-being: A systematic review of the literature. Social Indicators Research. 2003;61(1):59–78. [Google Scholar]
  43. Putnam-Hornstein E, Needell B. Predictors of child protective service contact between birth and age five: An examination of California's 2002 birth cohort. Children and Youth Services Review. 2011;33(8):1337–1344. [Google Scholar]
  44. Putnam-Hornstein E, Needell B, King B, Johnson-Motoyama M. Racial and ethnic disparities: A population-based examination of risk factors for involvement with child protective services. Child Abuse & Neglect. 2013;37(1):33–46. doi: 10.1016/j.chiabu.2012.08.005. [DOI] [PubMed] [Google Scholar]
  45. Rosenbaum PR, Rubin DB. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician. 1985;39(1):33–38. [Google Scholar]
  46. Ross T, Khashu A, Wamsley M. Hard data on hard times: An empirical analysis of maternal incarceration, foster care and visitation. New York: Vera Institute of Justice; 2004. [Google Scholar]
  47. Rossman SB, Roman J, Zweig JM, Rempel M, Lindquist CH. The multi-site adult drug court evaluation: executive summary. Washington, DC: Urban Institute Justice Policy Center; 2011. Available from http://www.urban.org/research/publication/multi-site-adult-drug-court-evaluation-executive-summary. Retrieved December 14, 2015. [Google Scholar]
  48. Rounsaville D, O'Farrell TJ, Andreas JB, Murphy CM, Murphy MM. Children's exposure to parental conflict after father's treatment for alcoholism. Addictive Behaviors. 2014;39(7):1168–1171. doi: 10.1016/j.addbeh.2014.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Semidei J, Feig Radel L, Nolan C. Substance abuse and child welfare: Clear linkages and promising responses. Child Welfare: Journal of Policy, Practice, and Program. 2001;80(2):109–128. [PubMed] [Google Scholar]
  50. Sevigny EL, Fuleihan BK, Ferdik FV. Do drug courts reduce the use of incarceration?: A meta-analysis. Journal of Criminal Justice. 2013;41(6):416–425. [Google Scholar]
  51. Simpson DD. Treatment for drug-abuse - Follow-up outcomes and length of time spent. Archives of General Psychiatry. 1981;38(8):875–880. doi: 10.1001/archpsyc.1981.01780330033003. [DOI] [PubMed] [Google Scholar]
  52. Simpson DD, Joe GW, Broome KM. A national 5-year follow-up of treatment outcomes for cocaine dependence. Archives of General Psychiatry. 2002;59(6):538–544. doi: 10.1001/archpsyc.59.6.538. [DOI] [PubMed] [Google Scholar]
  53. Skinner ML, Fleming CB, Haggerty KP, Catalano RF. Sex risk behavior among adolescent and young adult children of opiate addicts: Outcomes from the Focus on Families prevention trial and an examination of childhood and concurrent predictors of sex risk behavior. Prevention Science. 2014;15(Supp 1):570–577. doi: 10.1007/s11121-012-0327-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. U.S. Department of Health Human Services Administration for Children and Families. Administration on Children, Youth and Families, Children’s Bureau. Child maltreatment 2012. 2013 Available from http://www.acf.hhs.gov/programs/cb/resource/child-maltreatment-2013 Retrieved December 14, 2015.
  55. U.S. Department of Justice. Crime in the United States 2013: Table 37 Current Year Over Previous Year Arrest Trends. 2013 Retrieved April 15, 2015, from http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2013/crime-in-the-u.s.-2013/tables/table-37/table_37_current_year_over_previous_year_arrest_trends_by_sex_2013.xls.
  56. Wexler D. Therapeutic jurisprudence: an overview. Thomas M. Cooley Law Review. 2015;17(1):125–134. [Google Scholar]
  57. Wexler DB. Two decades of therapeutic jurisprudence. Touro Law Review. 2008;24:17–30. [Google Scholar]
  58. Wexler DB, Winick BJ. Law in a therapeutic key: Developments in therapeutic jurisprudence. California Academic Press; 1996. [Google Scholar]
  59. Wilson DB, Mitchell O, MacKenzie DL. A systematic review of drug court effects on recidivism. Criminology. 2006;2(4):459–487. [Google Scholar]
  60. Wu SS, Ma C-X, Carter RL, Ariet M, Feaver EA, Resnick MB, Roth J. Risk factors for infant maltreatment: a population-based study. Child Abuse & Neglect. 2004;28(12):1253–1264. doi: 10.1016/j.chiabu.2004.07.005. [DOI] [PubMed] [Google Scholar]
  61. Young NK, Boles SM, Otero C. Parental substance use disorders and child maltreatment: overlap, gaps, and opportunities. Child Maltreatment. 2007;12(2):137–149. doi: 10.1177/1077559507300322. [DOI] [PubMed] [Google Scholar]
  62. Zhou Y, Hallisey EJ, Freymann GR. Identifying perinatal risk factors for infant maltreatment: an ecological approach. International Journal of Health Geographics. 2006;5(1):53, 1–11. doi: 10.1186/1476-072X-5-53. [DOI] [PMC free article] [PubMed] [Google Scholar]

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