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Drug Addiction Intervention

Preventing alcohol and drug exposed births in Washington State: intervention findings from three Parent-Child Assistance Program sites

Therese M. Grant

INTRODUCTION

Maternal alcohol and drug abuse during pregnancy remains a serious public health concern (1-7). Prenatal exposure incurs physical and neurodevelopmental risk for the child (8-10) and a birth mother with an untreated substance abuse problem is likely to provide a compromised home environment and continue to have repeat exposed pregnancies (11-13). Home visitation has emerged as a promising intervention for helping at-risk mothers improve parenting skills and become healthier and more self-sufficient, yet few programs have been developed and evaluated specifically for women who abuse alcohol and drugs during pregnancy (14-20).

The Parent-Child Assistance Program (PCAP, originally known as the Birth to 3 Project) is a three-year home visitation intervention that began in Seattle in 1991 as a federally-funded research demonstration with a primary aim of preventing subsequent alcohol and drug exposed births among mothers who abused alcohol and/or drugs during an index pregnancy. Research findings demonstrated the model's efficacy compared to controls, and in 1996 researchers obtained funding from the state of Washington and private philanthropy to replicate the intervention arm of the project at two sites, in Seattle (King County) and Tacoma (Pierce County), the two largest cities in Washington. The resources were targeted for direct intervention services in response to community need and for program evaluation; funding for comparison groups was not available. This article describes three-year intervention findings from the initial three PCAP sites: the original demonstration (1991-1995), the Seattle replication (1996-2003), and the Tacoma replication (1996-2003).

In 1999, two additional PCAP sites were funded through Washington State legislative appropriation. Sufficient data were not available from these sites to include in the present analysis. A dozen maternal intervention programs in the U.S. and Canada have been modeled on PCAP concepts (21).

METHODS

Participants

The original demonstration (OD) sample was recruited from July 1991 through December 1992 and exited the program between July 1994 and December 1995. The Seattle replication (SR) and Tacoma replication (TR) samples were recruited from January 1996 through October 2000 and exited between January 1999 and October 2003. Eligibility criteria included: 1) pregnant or postpartum; 2) self-report of heavy alcohol or illicit drug use during pregnancy (defined as drinking [greater than or equal to] 5 alcoholic drinks/occasion [greater than or equal to] once/month and/or use of any illicit substance [greater than or equal to] once/week during pregnancy); and 3) ineffective or nonengagement with community social services. OD participants were enrolled within one month postpartum; SR and TR participants were enrolled during pregnancy (38%) or through six months postpartum (53% within three months postpartum).

OD subjects were identified and recruited through two sources: hospital postpartum screening by study researchers at two urban hospitals using a one-page, confidential self-report instrument (22); and referral from community providers (e.g., social workers, public health nurses). Eligible, consenting hospital-screened women were systematically assigned to either the intervention or control condition (every third woman as a control). SR and TR subjects were recruited solely through community referral to PCAP. All participants received an intake interview. Subjects were followed through the three-year intervention and completed an exit interview.

Human Subjects approvals were obtained from participating hospitals and the University of Washington, and informed consent was obtained from all subjects.

Intervention

Theoretical background and details of the PCAP model have been described in detail elsewhere (17, 23-26). In brief, the primary aim of the intervention is to prevent future alcohol and drug exposed births among high-risk mothers who have already delivered at least one exposed child. To achieve this aim, PCAP case managers assist women in obtaining alcohol and drug treatment and staying in recovery, and link them with comprehensive community resources that will help them build healthy, independent lives. They work individually with approximately 15 families, help mothers identify personal goals and steps necessary to achieve them, and monitor progress. They facilitate integrated service delivery among providers, offer regular home visitation, transport clients and children to important appointments, and work actively within the context of the extended family. PCAP case managers are paraprofessionals not formally trained or credentialed in the helping professions (27). They share some life experiences with their clients but have overcome obstacles and achieved significant successes, enabling them to be credible role models with clients who have formerly had little reason to trust anyone. They receive initial and ongoing training and weekly individual supervision by a master's level professional (25).

Objectives

In this study comparing three-year findings from the OD, SR, and TR, three questions are addressed:

* Did baseline characteristics differ between subjects enrolled in the OD versus those enrolled at the later SR and TR sites?

* Were OD outcomes maintained or improved at the SR and TR sites?

* What factors explain differential outcomes at the replication sites?

Intake Measure

OD subjects and the first 100 enrolled in the SR and TR (50 at each) were interviewed by a trained researcher using a 50-minute structured instrument used by the authors in previous studies (17, 28, 29). Subjects enrolled after 1996 (n= 84) were interviewed using the 5th edition Addiction Severity Index (ASI) with supplemental questions. The semistructured ASI assesses problems in six domains: medical, employment, legal, family/social, psychiatric/emotional, alcohol/drug use (30-32). PCAP supplemental questions included items on pregnancy substance use, contraception, and service utilization.

Exit Measure

At three-year exit, a researcher interviewed OD subjects using a structured instrument assessing areas measured in the intake interview. SR and TR subjects were interviewed at exit using the ASI 5th edition, with the PCAP supplemental questions including items on status of the index child and subsequent births.

PCAP data collection methods enhanced accuracy of self-report. Detailed instruction manuals and intensive training to establish inter-rater reliability insured standardized interview procedures. Exit interviews were conducted by independent research staff at a University of Washington facility. Interviewers took time, asked subjects to think carefully and thanked them for their openness and honesty. They used calendar prompts to improve subject recall, and reminded subjects of previous responses to assist with present responses. The study obtained a Certificate of Confidentiality from the U.S. Department of Health and Human Services to safeguard client data.

Statistical Methods

This cohort study is a pretest-posttest comparison across three sites. Enrollment and exit characteristics between two groups (subjects retained versus those lost to follow-up) were compared by t-test or chi-square. Overall program efficacy was measured in the OD by creating a baseline (intake) summary variable (18 items) and an endpoint (three-year) summary variable (23 items) (17). Items reflected five domains expected to be most affected by the intervention (see Table 2) and were scored on a five-point scale from most negative (-2) to most positive (+2). Item scores were summed to compute individual domain scores and the total summary score. Cronbach's alpha computed from the five component domain scores was .91 for the baseline score and .82 for the endpoint score, suggesting good item-to-scale reliability (33). In this analysis, we constructed SR and TR baseline and endpoint summary variables in the same manner. We compared the endpoint summary variables across the three sites, using three-group analysis of covariance adjusting for the baseline variable to test for differences. Also, to reflect our primary interest in alterations in actual behavior, we present descriptive statistics comparing clinically relevant outcomes across the three sites. Data were analyzed using S-Plus and SPSS.

RESULTS

Full findings from the OD are reported in Ernst et al. (17). In brief, of 2,244 postpartum women who completed the screening questionnaire, 131 met eligibility criteria: 28 were not asked to participate because of living out of area, twin birth, or neonatal death, 65 were enrolled as clients in the intervention, 31 were enrolled as controls, and 7 refused enrollment. Among the 65 clients, 5 (8%) were lost to follow-up. Sixty completed the three-year exit interview and are included in the main analysis for this report.

At the combined replication sites (SR and TR), a total of 683 women were referred to PCAP during the study period. Three hundred twenty (47%) were ineligible and referred to more appropriate programs; 13 (2%) had fetal alcohol spectrum disorders (FASD) and were enrolled in a separate pilot study; 349 (51%) met eligibility criteria. Among the eligible, 105 (30%) avoided contact after being referred or refused the intervention, 14 (4%) enrolled but declined services within a few months and did not receive the intended intervention, and 1 woman died during the program of assault injuries. Among the 229 who enrolled and participated in the intervention, 45 (13%) are excluded from this analysis because of lack of a valid interview or exit interview conducted more than 6 months after program completion. Among the remaining 184, 28 (15%) were lost to follow-up at 3 years (14 at each site); the 156 retained are included in the main analysis (n=76 at SR; n=80 at TR).

We compared baseline characteristics of subjects lost to follow-up with those retained. In the OD, the 5 lost to follow-up (8%) were approximately 3 years younger, with a year less education (17). At the combined SR and TR sites, subjects lost to follow-up were younger (27.1 vs. 28.6 years), with 3 or more children (75% vs. 60%), and at least one child removed from their custody (75% vs. 62%). Fewer were binge alcohol drinkers during the index pregnancy (25% vs. 50%, p < .01), and a higher proportion were methamphetamine users (43% vs. 24%, p < .05).

Baseline Characteristics

Among subjects enrolled at all three sites, most had been physically or sexually abused as children, had parents who abused alcohol/drugs, had been incarcerated as adults, and were currently receiving welfare; approximately half were not living in stable housing; on average, there were 2 prior children, most not in the mother's care (Table 1). More subjects in the replication samples were married compared to the OD (SR/TR=15% vs. OD=3%, p < .002) and had been victims of domestic violence (SR/TR=41% vs. OD=18%, p < .001). In Tacoma, a higher proportion were White, reflecting population demographics. Approximately half the subjects at the SR and TR had a diagnosed mental health disorder (not assessed in the OD).

All OD participants, and 81% of those in the combined replications, were polysubstance abusers (binge alcohol and cocaine was the most common combination). Substances used during the index pregnancy were strikingly different in Tacoma compared to the OD and SR (both conducted in Seattle). The TR had 11-fold greater use of methamphetamine, and more alcohol and binge alcohol use, but only half the rate of heroin use during the index pregnancy.

Summary Scores

Compared to the OD, baseline summary scores at the SR and TR were higher (means: OD=-20.7; SR=-10.5; TR=-11.5), as were scores on all five baselines (Table 2). Higher scores in two domains ("alcohol/drug treatment" and "connection with services" prior to program intake) accounted for 70% of the difference between OD and replication site baseline summary scores, reflecting increased availability of community services during more recent years.

In the OD, hospital-recruited clients scored significantly higher than controls on the endpoint summary score, adjusting for baseline summary score (p < .02). Three-group analysis of covariance (hospital-recruited clients, community referred clients, and controls) was also significant (p < .05) (17). Comparing data across the OD, SR, and TR, slopes for the regression of endpoint summary score on baseline score were similar across the groups. Each of the replication samples performed significantly better than the OD (p < .02), adjusting for baseline.

Three-Year Outcomes

Treatment and Abstinence

Compared to the OD, at exit from the intervention, a higher proportion of subjects in both replication samples completed inpatient (OD=45%; SR=54%; TR=61%), outpatient (OD=35%; SR=59%; TR=43%), and other forms of treatment (OD=45%; SR--72%; TR=49%) (Table 3). SR and TR subjects also accrued longer duration of abstinence from alcohol and drugs: for [greater than or equal to] 6 months at exit (OD=28%; SR=43%;TR=39%); for [greater than or equal to] 1 year at exit (OD=17%; SR=34%; TR=33%); for any period of abstinence [greater than or equal to] 1 year while in the program (OD=37%; SR=59%; TR=46%).

Family Planning and Subsequent Birth

Outcomes were sustained or improved at the SR and TR for regular use of a contraceptive at program exit (OD = 73 %; SR = 74%; TR = 71%), and use of a more reliable method (tubal ligation, IUD, Norplant, or consistent Depo Provera injections) (OD=43%; SR=49%; TR=53%). The rate of subsequent pregnancy during the three-year intervention was notably lower at the TR (OD=52%; SR=50%; TR=38%), although the subsequent birth rate was similar (OD=28%; SR=29%; TR=25%), suggesting a higher rate of spontaneous or therapeutic abortions among Seattle subjects (OD and SR). Among those who had a subsequent birth during the intervention, the proportion unexposed to alcohol or drugs throughout the pregnancy doubled at the SR and TR compared to the OD (OD= 18%; SR=32%; TR=40%). At all three sites, on program exit most subjects were no longer at present risk of having another alcohol or drug exposed pregnancy, either because they were using a reliable contraceptive method or had been abstinent from alcohol/ drugs for at least six months, or both (OD=60%; SR=67%; TR=74%).

Primary Income Source

In the OD, public assistance as the primary source of income dropped by 40% from program enrollment to exit (83% to 50%) compared to a 63% reduction at the combined replication sites (71% at enrollment to 26% at exit). In both replication sites, employment as primary source of income at program exit was nearly 2.5 times greater than in the OD (OD=12%; SR=29%; TR=29%). Employment replaced public assistance as primary income source among 35 women (32%) at the replication sites.

Index Child

The percentage of index children in custody of their mothers or other family members at program exit was similar across sites (OD=71%; SR=70%; TR=77%). Among those in custody of their families, over 90% at all three sites were receiving well-child care. Overall, fewer of those at the replication sites were in the state foster care system (OR=26%; SR= 17%; TR=9%). Over three times as many SR and TR children were adopted compared to the OD (SR=13%; TR=14%; OD=4%).

DISCUSSION

Future alcohol and drug exposed births can be prevented in one of two ways: by helping women avoid alcohol and drug use during pregnancy, or by helping them avoid becoming pregnant if they are using alcohol or drugs. This study demonstrates that PCAP community-based intervention has been effective in achieving these ends over time and across venues. Compared to the original demonstration, outcomes at the replication sites were either improved (alcohol/drug treatment completed; abstinence from alcohol/drugs; subsequent delivery unexposed to alcohol or drugs) or maintained (regular use of contraception and use of a reliable method; number of subsequent deliveries during the program). Other findings included increased maternal employment, more permanent child custody placements, and increased connection with services. These are clinically relevant outcomes that help mothers build healthy and productive lives, improve the quality of the home environment for the children, and reduce the burden on community social and economic systems.

A number of factors account for our findings. PCAP maintained strong administrative and quality control protocols. Community recognition grew as PCAP staff participated in service delivery networks and assured that clients followed through with recommendations. Some study posttest change could be attributed to the process of maturation as case managers continued to receive training and became more experienced.

Over the study period (1991-2003) a number of public policies and programs aimed at the population served by PCAP were initiated in Washington State. Study outcomes were subject to multiple influences because of increased services made available. For example, Washington's "WorkFirst" welfare-to-work program was initiated in 1997. Between 1997 and June 2004 the number of families receiving any welfare income in Washington dropped by 41% (personal communication: Debra Came, Washington State Office of Financial Management, July 16, 2004, Debra.Came@OFM.wa.gov). We observed a similar 42% reduction among PCAP participants between 1996 and 2003 (76% received any welfare income at enrollment vs. 44% at program exit, data not shown on table), although PCAP women were at higher risk for unemployment than the general welfare population because all were substance abusers and fewer were white (47% vs. 63%).

The Washington State Division of Alcohol and Substance Abuse (DASA) nearly tripled the number of gender-specific inpatient residential treatment beds for pregnant and postpartum women from 55 to 149 between 1991 and 2003. The availability of these specialized treatment facilities undoubtedly had a positive impact on PCAP's treatment and abstinence outcomes.

Washington State DSHS initiated First Steps in 1989 to help low-income pregnant women obtain health and social services including family planning. In 1993 coverage was extended statewide and to one year postpartum; in 2001 no-cost family planning services became available to individuals with incomes up to 200% of the federal poverty level. State data indicate that from 1994 to 2000 the birth rate among welfare recipients dropped by 29% (34). Further, from 1991 to 2000, the percent of women identified as substance abusers who gave birth and had a subsequent birth within two years, dropped from 18.7% to 16.5% (personal communication: Laurie Cawthon, M.D., May 11, 2004, cawthml@dshs.wa.gov). The PCAP two-year subsequent birth rate has remained consistently lower than the state rate: 13% at the OD (1991-1996); and 13% at the combined SR and TR (1996-2003) (data not shown on table).

The Washington Permanency Framework was a five-year plan begun in 1998 to improve the lives of children in the foster care system by increasing rates of permanent placements in a timely manner; parental substance abuse is cited as a common reason for children entering the system. State data indicate nearly twice as many children were adopted in 2003 as in 1995 (35). PCAP child placement outcomes improved during the period corresponding with implementation of the Framework: children not with family were three times more likely to be adopted at program exit, and only half as likely to be in the state foster care system.

Improved findings observed at the replication sites do not appear to be attributable to enrollment of less afflicted women, as the groups did not systematically differ from the OD on background characteristics.

At the replication sites, 78 women drank alcohol in a binge pattern ([greater than or equal to] 5 drinks per occasion) during the index pregnancy. Alcohol is a known teratogen (36, 37) whose neurobehavioral effects have been found to be more injurious than cocaine and other drugs abused prenatally (38-41). Prenatal alcohol exposure puts fetuses at risk for fetal alcohol syndrome (FAS), a permanent birth defect and a leading preventable cause of mental retardation and neurodevelopmental disorders in the United States (42, 43). The estimated average lifetime cost for an individual with FAS is $1.5 million (44, 45).

We found that 51 of the 78 PCAP heavy drinkers (65%) were no longer at present risk of having an alcohol exposed pregnancy at PCAP program exit: 24 (31%) were using a reliable contraceptive method (tubal ligation, IUD, or consistent Depo Provera injections); 18 (23%) had been abstinent from alcohol (and drugs) for at least six months; and 9 (12%) were both using a reliable contraceptive and were abstinent. Without PCAP intervention, we assume about 30% (or 23) of these 78 drinking mothers would have delivered another highly exposed child. Instead, the number was reduced by 65%, preventing approximately 15 exposed births. The incidence of FAS is estimated at 4.7% to 21% among heavy drinkers (46-48), therefore, we estimate that PCAP prevented at least one and up to three new cases of FAS. The cost of the PCAP program is approximately $14,760 per client for the three-year program including intervention, administration and evaluation. If PCAP prevented the occurrence of just one new case of FAS, the estimated lifetime cost savings is equivalent to the cost of the PCAP intervention for 102 women.

Of related note, a 2004 independent economic analysis by the Washington State Institute for Public Policy found an average net benefit of $6197 per client among selected well researched home visiting programs, including PCAP, for at-risk families in the U.S. (49).

Our study was subject to several limitations. Because data were obtained from personal interviews, they were subject to self-report biases (50). Positive study outcomes may reflect some spurious improvement due to the fact that we selected subjects with extremely poor social behavior history (statistical regression toward the mean) (51). The PCAP model might not affect the same degree of change among mothers whose baseline profile is not as severe.

Public health researchers have argued that when evaluation resources are limited, sound decisions may be made on the basis of adequacy or plausibility evaluations conducted under routine conditions (as opposed to randomized controlled trials) (52). Our quasi-experimental study does not allow us to draw confident causal conclusions because it is not a randomized design and we cannot rule out the possibility that historical events operated to improve PCAP outcomes. We have, however, demonstrated: 1) compared to control subjects, clients in the original sample had significantly better endpoint summary scores, and both replication sites scored significantly better than the original sample; 2) improved outcomes are not attributable to enrollment of less impaired women; 3) there was sustained or improved impact over time and across settings; and 4) for most outcomes that may have been associated with state programs implemented, PCAP has improved women's status over and above what state data bases demonstrate.

The social and economic costs of prenatal substance abuse are high, and the toll on each new generation of exposed and affected children is profound. What is heartening is that the problem is preventable. The PCAP intervention strategy offers hope to high-risk families and has proven to be a cost-effective investment for the state.

ACKNOWLEDGMENTS

This research was supported in part by the U.S. Department of Health and Human Services Center for Substance Abuse Prevention under grant H865SPO2897-01-06, and by the State of Washington Department of Social and Health Services Division of Alcohol and Substance Abuse, under contracts #7141-1 and #6376-0.

An earlier version of this article was presented at the 27th Annual Meeting of the Research Society on Alcoholism, June 2004. We thank Dr. Paul Sampson (Department of Statistics, University of Washington) and Dr. Fred Bookstein (Institute of Gerontology, University of Michigan, and Institute of Anthropology, University of Vienna, Austria) for their constructive comments and suggestions and technical assistance.

REFERENCES

(1.) American College of Obstetricians and Gynecologists (ACOG) Committee on Ethics. ACOG committee opinion #294: at-risk drinking and illicit drug use: ethical issues in obstetric and gynecologic practice. Obstet Gynecol 2004; 103(5): 1021-1031.

(2.) Ebrahim SH, Gfroerer J. Pregnancy-related substance use in the United States during 1996-1998. Obstet Gynecol 2003; 101(2):374-379.

(3.) Ebrahim SH, Luman ET, Floyd RL, Murphy CC, Bennett EM, Boyle CA. Alcohol consumption by pregnant women in the United States during 1988-1995. Obstet Gynecol 1998; 92(2):187-192.

(4.) CDC. Alcohol use among women of childbearing age--United States, 1991-1999. MMWR 2002; 51:273-276. Reprinted.

(5.) CDC. Alcohol use among women of childbearing age--United States, 1991-1999. JAMA 2002; 287(16):2069-2071.

(6.) U.S. Department of Health and Human Services. Summary of Findings from the 1999 National Household Survey on Drug Abuse. Washington, DC: Department of Health and Human Services, 2000. http://media. shs.net/prevline/pdfs/2kNHSDA.pdf (accessed June 2004).

(7.) U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration (SAMHSA), Office of Applied Studies. National Household Survey on Drug Abuse. Pregnancy and Illicit Drug Use. July 2001. http://oas.samhsa.gov/2k2/pregDU/pregDU. cfm (accessed June 2004).

(8.) Mattson SN, Riley EP. A review of the neurobehavioral deficits in children with fetal alcohol syndrome or prenatal exposure to alcohol. Alcohol Clin Exp Res 1998; 22(2):279-294.

(9.) Singer LT, Arendt R, Minnes S, Farkas K, Salvator A, Kirchner HL, Kliegman R. Cognitive and motor outcomes of cocaine-exposed infants. JAMA 2002; 287(15): 1952-1960.

(10.) Frank D, Augustyn M, Grant-Knight W, Pell T, Zucherman B. Growth, development, and behavior in early childhood following prenatal cocaine exposure: a systematic review. JAMA 2001; 285(12):1613-1625.

(11.) Lustbader AS, Mayes LC, McGee BA, Jatlow P, Roberts WL. Incidence of passive exposure to crack/cocaine and clinical findings in infants seen in an outpatient service. Pediatrics 1998; 102(1):e5.

(12.) Ornoy A, Michailevskaya V, Lukashov I, Bar-Hamburger R, Harel S. The developmental outcome of children born to heroin-dependent mothers, raised at home or adopted. Child Abuse Negl 1996; 20(5):385-396.

(13.) Conners NA, Bradley RH, Mansell LW, Liu JY, Roberts TJ, Burgdorf K, Herrell JM. Children of mothers with serious substance abuse problems: an accumulation of risks. Am J Drug Alcohol Abuse 2004; 30(1):85-100.

(14.) Black MM, Nair P, Harrington D. Maternal HIV infection: parenting and early child development. J Pediatr Psychol 1994; 19(5):595-615.

(15.) Black MM, Nair P, Kight C, Wachtel R, Roby P, Schuler M. Parenting and early development among children of drug-abusing women: effects of home intervention. Pediatrics 1994; 94(4 Pt. 1):440-448.

(16.) Black MM, Dubowitz H, Hutcheson J, Berenson-Howard J, Starr RH Jr. A randomized clinical trial of home intervention for children with failure to thrive. Pediatrics 1995; 95(6):807-814.

(17.) Ernst CC, Grant TM, Streissguth AP, Sampson PD. Intervention with high-risk alcohol and drug-abusing mothers: II. 3-year findings from the Seattle model of paraprofessional advocacy. J Commun Psychol 1999; 27(1):19-38.

(18.) Laken MP, Ager JW. Effects of case management on retention in prenatal substance abuse treatment. Am J Drug Alcohol Abuse 1996; 22(3):439-448.

(19.) Loman LA, Sherburne D. Intensive Home Visitation for Mothers of Drug-Exposed Infants: An Evaluation of the St. Louis Linkages Program. St. Louis, MO, USA: Institute of Applied Research, April 2000.

(20.) Navaie-Waliser M, Martin SL, Campbell MK, Tessaro I, Kotelchuck M, Cross AW. Factors predicting completion of a home visitation program by high-risk pregnant women: the North Carolina maternal outreach worker program. Am J Public Health 2000; 90(1):121-124.

(21.) Umlah C, Grant T. Intervening to prevent prenatal alcohol and drug exposure: the Manitoba experience in replicating a paraprofessional model. Manit J Child Welf 2003; 2(1):1-12. http://www. envisionjournal.com/application/Articles/48.pdf (accessed August 2004).

(22.) Streissguth AP, Grant TM, Barr HM, Brown ZA, Martin JC, Mayock DE, Ramey SL, Moore L. Cocaine and the use of alcohol and other drugs during pregnancy. J Obstet Gynecol 1991; 164(5 Pt. 1):1239-1243.

(23.) Grant TM, Ernst CC, Streissguth AP, Phipps P, Gendler B. When case management isn't enough: a model of paraprofessional advocacy for drug- and alcohol-abusing mothers. J Case Manag 1996; 5(1):3-11.

(24.) Grant TM, Ernst CC, Streissguth AP. An intervention with high-risk mothers who abuse alcohol and drugs: the Seattle advocacy model. Am J Publ Health 1996; 86(12):1816-1817.

(25.) Grant TM, Ernst CC, Streissguth AP. Intervention with high-risk alcohol and drug-abusing mothers: I. Administrative strategies of the Seattle model of paraprofessional advocacy. J Commun Psychol 1999; 27(1):1-18.

(26.) Grant T, Streissguth A, Ernst C. Benefits and challenges of paraprofessional advocacy with mothers who abuse alcohol and drugs and their children. Zero Three 2002; 23(2):14-20.

(27.) Olds DL, Robinson J, O'Brien R, Luckey DW, Pettitt LM, Henderson CR Jr., Ng RK, Sheff KL, Korfmacher J, Hiatt S, Talmi A. Home visiting by paraprofessionals and by nurses: a randomized, controlled trial. Pediatrics 2002; 110(3):486-496.

(28.) Grant T, Brown Z, Callahan C, Barr H, Streissguth AP. Cocaine exposure during pregnancy: improving assessment with radio-immunoassay of maternal hair. Obstet Gynecol 1994; 83(4):524-531.

(29.) Streissguth AP, Martin DC, Martin JC, Barr HM. The Seattle longitudinal prospective study on alcohol and pregnancy. Neurobehav Toxicol Teratol 1981; 3(2):223-233.

(30.) McLellan AT, Kushner H, Metzger D, Peters R, Smith I, Grissom G, Pettinati H, Argeriou M. The fifth edition of the addiction severity index. J Subst Abuse Treat 1992; 9(3):199-213.

(31.) McLellan AT, Luborsky L, Cacciola J, Evans F, Barr HL, O'Brien CP. New data from the addiction severity index. Reliability and validity in three centers. J Nerv Ment Dis 1985; 173(7):412-423.

(32.) Zanis DA, McLellan AT, Cnaan RA, Randall M. Reliability and validity of the Addiction Severity Index with a homeless sample. J Subst Abuse Treat 1994; 11(6):541-548.

(33.) Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16:297-334.

(34.) Cawthon L. Birth Rates After Welfare Reform. Washington State Department of Social and Health Services Research & Data Analysis Division. Report No. 9.61. November 2001. Available at: http://wwwl. dshs.wa.gov/rda/research/9/61.shtm (accessed July 2004).

(35.) Washington Permanency Report 1998-2003. Families for Kids Partnership, Seattle, WA. Data Compilation and Analysis by Evaluation Services, NW Institute for Children and Families, University of Washington. Available at: http://www.childrenshomesociety.org/ 2_cfkreportsDataPerm.htm (accessed June 2004).

(36.) Schenker S, Becker HC, Randall CL, Phillips DK, Baskin GS, Henderson GI. Fetal alcohol syndrome: current status of pathogenesis. Alcohol Clin Exp Res 1990; 14(5):635-647.

(37.) Randall CL. Alcohol as a teratogen: a decade of research in review. Alcohol Alcohol 1987; suppl 1:125-132.

(38.) Jacobsen JL, Jacobson SW, Sokol RJ. Effects of prenatal exposure to alcohol, smoking and illicit drugs on postpartum somatic growth. Alcohol Clin Exp Res 1994; 18(2):317-323.

(39.) Jacobson SW, Jacobsen JL, Sokol RJ. Effects of fetal alcohol exposure on infant reaction time. Alcohol Clin Exp Res 1994; 18(5):1125-1132.

(40.) Coles CD, Platzman KA, Smith I, James ME, Falek A. Effects of cocaine and alcohol use in pregnancy on neonatal growth and neurobehavioral status. Neurotoxicol Teratol 1992; 14(1):22-33.

(41.) Institute of Medicine [IOM]. In: Stratton KR, Howe CJ, Battaglia FC, eds. Fetal Alcohol Syndrome: Diagnosis, Epidemiology, Prevention, and Treatment, Washington, DC: National Academy Press, 1996:21.

(42.) Abel EL, Sokol RJ. Incidence of fetal alcohol syndrome and economic impact of FAS related anomalies. Drug Alcohol Depend 1987; 19(1):51-70.

(43.) American Academy of Pediatrics, Committee on Substance Abuse and Committee on Children with Disabilities. Fetal alcohol syndrome and alcohol-related neurodevelopmental disorders. Pediatrics 2000; 106(2): 358-361.

(44.) Harwood H, Fountain D, Livermore G. The Economic Costs of Alcohol and Drug Abuse in the United States, 1992. Washington, DC: National Institute on Drug Abuse and National Institute on Alcohol Abuse and Alcoholism, 1998.

(45.) Rice DP. The economic costs of alcohol abuse and dependence: 1990. Alcohol Health Res World 1993; 17(1): 10-11.

(46.) Abel EL. An update on incidence of FAS: FAS is not an equal opportunity birth defect (Review). Neurotoxicol Teratol 1995; 17(4):437-443.

(47.) Barr HM, Streissguth AP. Identifying maternal self-reported alcohol use associated with fetal alcohol spectrum disorders. Alcohol Clin Exp Res 2001; 25(2):283-287.

(48.) Majewski F. Alcohol embryopathy: experience in 200 patients. Dev Brain Dysfunct 1993; 6:248-265.

(49.) Aos S, Lieb R, Mayfield J, Miller M, Pennucci A. Benefits and Costs of Prevention and Early Intervention Programs for Youth. Olympia, WA: Washington State Institute for Public Policy, July 6 2004:1-20.

(50.) Rothman KJ. Modern Epidemiology. Boston: Little Brown, 1986:84-89.

(51.) Cook TD, Campbell DT. Quasi-Experimentation: Design & Analysis Issues for Field Settings. Boston: Houghton Mifflin Company, 1979:100.

(52.) Victora CG, Habicht JP, Bryce J. Evidence based public health: moving beyond randomized trials. Am J Public Health 2004; 94(3):400-405.

(53.) Barnard KE. Difficult Life Circumstances (DLC). Seattle, WA: University of Washington School of Nursing NCAST Publications, 1989.

Therese M. Grant, Ph.D., (1) Cara C. Ernst, M.A., (2) Ann Streissguth, Ph.D., (2) and Kenneth Stark, M.Ed., M.B.A. (3)

(1) Department of Psychiatry and Behavioral Sciences and Department of Epidemiology, University of Washington, Seattle, Washington, USA

(2) Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA

(3) Division of Alcohol and Substance Abuse, Washington State Department of Social and Health Services, Seattle, Washington, USA

Address correspondence to Therese M. Grant, Ph.D., Department of Psychiatry and Behavioral Sciences and Department of Epidemiology, University of Washington, 180 Nickerson, Suite 309, Seattle, WA 98109, USA; Fax: (206) 685-2903; E-mail: granttm@u.washington.edu

Table 1. Baseline demographics and characteristics of
participants in the original demonstration (1991-1995)
and the Seattle and Tacoma PCAP replications (1996-2003)

                                    Original demonstration
                                    (n=60) mean or n (%)

Age (mean yrs)                      27.6
Education (mean yrs)                11.5
  High school diploma/GED           31/60(52)
Race
  White                             18/60(30)
  African American                  27/60(45)
  Native American                   10/60(17)
  Other (Hispanic, Asian)           5/60(8)
Married                             2/60(3)
Number prior children               2.1
  None                              10/60(17)
  Living with mother (mean)         0.8
Primary income source
  Public assistance                 50/60 (83)
  Employment                        0/60(0)
Stable housing                      28/60(47)
Childhood risk indicators
  Parent(s) abused alcohol/drugs    40/53 (75)
  Physical/sexual abuse             40/62 (65)
Adult risk indicators
  Domestic violence, current        10/57 (18)
    partner (a)
  Mental health disorder (b)        --
  Ever incarcerated                 47/59(80)
Substance use during
    index pregnancy
  Alcohol                           47/60(78)
  Binge alcohol                     23/60 (38)
  Heroin                            13/60(22)
  Cocaine                           53/60 (88)
  Marijuana                         28/60(47)
  Methamphetamine                   0/60(0)
  Cigarettes                        56/60(93)

                                    Seattle replication
                                    (n=76) mean or n (%)

Age (mean yrs)                      28.7
Education (mean yrs)                10.7
  High school diploma/GED           32/75 (43)
Race
  White                             29/76 (38)
  African American                  32n6(42)
  Native American                   7n6(9)
  Other (Hispanic, Asian)           8n6(11)
Married                             12/76(16)
Number prior children               2.1
  None                              15n6(20)
  Living with mother (mean)         0.5
Primary income source
  Public assistance                 60/76(79)
  Employment                        2/76(3)
Stable housing                      34/76 (45)
Childhood risk indicators
  Parent(s) abused alcohol/drugs    56/67 (84)
  Physical/sexual abuse             61/76(80)
Adult risk indicators
  Domestic violence, current        29/54(54)
    partner (a)
  Mental health disorder (b)        37/68 (54)
  Ever incarcerated                 62/75 (83)
Substance use during
    index pregnancy
  Alcohol                           48/76 (63)
  Binge alcohol                     33/76 (43)
  Heroin                            18/76(24)
  Cocaine                           62/76 (82)
  Marijuana                         38/76 (50)
  Methamphetamine                   3/76 (4)
  Cigarettes                        68/76 (89)

                                    Tacoma replication
                                    (n=80) mean or n (%)

Age (mean yrs)                      28.4
Education (mean yrs)                10.8
  High school diploma/GED           38/80(48)
Race
  White                             45/80(56)
  African American                  25/80 (31)
  Native American                   7/80(9)
  Other (Hispanic, Asian)           3/80(4)
Married                             11/80(14)
Number prior children               2.3
  None                              13/80(16)
  Living with mother (mean)         0.8
Primary income source
  Public assistance                 50/80(63)
  Employment                        4/80(5)
Stable housing                      42/80(53)
Childhood risk indicators
  Parent(s) abused alcohol/drugs    61/71 (86)
  Physical/sexual abuse             59/79 (75)
Adult risk indicators
  Domestic violence, current        22/70 (31)
    partner (a)
  Mental health disorder (b)        38/75 (51)
  Ever incarcerated                 66/79 (84)
Substance use during
    index pregnancy
  Alcohol                           62/80(78)
  Binge alcohol                     45/80(56)
  Heroin                            10/80(13)
  Cocaine                           46/80(58)
  Marijuana                         49/80(61)
  Methamphetamine                   35/80(44)
  Cigarettes                        70/80 (88)

                                    Replications combined
                                    (n=156) mean or n (%)

Age (mean yrs)                      28.6
Education (mean yrs)                10.8
  High school diploma/GED           70/155 (45)
Race
  White                             74/156(47)
  African American                  57/156 (37)
  Native American                   14/156(9)
  Other (Hispanic, Asian)           11/156 (7)
Married                             23/156 (15)
Number prior children               2.2
  None                              28/156 (18)
  Living with mother (mean)         0.7
Primary income source
  Public assistance                 110/156 (71)
  Employment                        6/156(4)
Stable housing                      76/156(49)
Childhood risk indicators
  Parent(s) abused alcohol/drugs    117/138 (85)
  Physical/sexual abuse             120/155 (77)
Adult risk indicators
  Domestic violence, current        51/124(41)
    partner (a)
  Mental health disorder (b)        75/143 (52)
  Ever incarcerated                 128/154 (83)
Substance use during
    index pregnancy
  Alcohol                           110/156 (71)
  Binge alcohol                     78/156(50)
  Heroin                            28/156 (18)
  Cocaine                           108/156 (69)
  Marijuana                         87/156 (56)
  Methamphetamine                   38/156(24)
  Cigarettes                        138/156 (88)

(a) Ascertained from the Difficult Life Circumstances Scale
from Ref. (53).

(b) Information on mental health diagnosis was not collected for the
original demonstration. Diagnoses for the replication samples
include: mood disorders 38%; anxiety disorders 20%; personality
disorders 3%; others [less than or equal to] 1% each.

Table 2. Baseline and endpoint summary scores and baseline
summary domain scores of the original demonstration (1991-1995)
and Seattle and Tacoma replication (1996-2003) samples

                               Original demonstration
                               (n=60) mean (SD)

Baseline score                 -20.7 (6.1)
  Baseline domain scores:
    Alcohol/drug treatment      -2.5 (3.7)
    Abstinence                  -5.7 (1.0)
    Family planning             -5.0 (1.9)
    Index child                 -2.2 (2.5)
    Connection with services    -5.4 (3.3)
  Endpoint Score                17.0 (13.2)

                               Seattle replication
                               (n=76) mean (SD)

Baseline score                 -10.5 (7.5)
  Baseline domain scores:
    Alcohol/drug treatment       1.7 (3.9)
    Abstinence                  -5.4 (1.4)
    Family planning             -3.7 (2.6)
    Index child                 -0.8 (2.6)
    Connection with services    -2.3 (3.2)
  Endpoint Score                27.2 (11.3)

                               Tacoma replication
                               (n=80) mean (SD)

Baseline score                 -11.5 (7.8)
  Baseline domain scores:
    Alcohol/drug treatment       0.7 (4.0)
    Abstinence                  -5.5 (1.4)
    Family planning             -3.6 (2.7)
    Index child                 -0.6 (2.5)
    Connection with services    -2.5 (3.3)
  Endpoint Score                24.9 (13.9)

                               Replications combined
                               (n=156) mean (SD)

Baseline score                 -11.0 (7.6)
  Baseline domain scores:
    Alcohol/drug treatment       1.2 (4.0)
    Abstinence                  -5.4 (1.4)
    Family planning             -3.7 (2.6)
    Index child                 -0.7 (2.5)
    Connection with services    -2.4 (3.3)
  Endpoint Score                26.0 (12.8)

Table 3. Exit outcomes at three sites: Original demonstration
(1991-1995) and the Seattle and Tacoma replication sites (1996-2003)

                                          Original demonstration
                                              (n=60) n (%)

Alcohol/drug treatment
  Inpatient or outpatient                    31/60 (52)
    Inpatient                                28/60 (47)
    Outpatient                               21/60 (35)
  Other (e.g., AA, counseling)               27/60 (45)
Abstinence from alcohol/drugs
  [greater than or equal to]
    6 mo at program exit                     17/60 (28)
  [greater than or equal to]
    1 year at program exit                   10/60 (17)
  Abstinence [greater than or equal to]
    1 yr during program                      22/60 (37)
Family planning and subsequent birth
  Regular contraceptive use                  44/60 (73)
  Reliable method'                           26/60 (43)
  Subsequent pregnancy                       31/60 (52)
  Subsequent birth during program            17/60 (28)
    Unexposed to alcohol/drugs                3/17 (18)
Primary income source
  Public assistance                          30/60 (50)
  Employment                                  7/60 (12)
Index child
  Custody at 3 years
    Biological mother                        28/54 (52)
    Other family                             10/54 (19)
    Adopted                                   2/54 (4)
    State foster care                        14/54 (26)
  Regular well-child care (b)                35/38 (92)
Connection with services
  Regular family healthcare                  37/60 (62)
  Mental health (c)                           7/10 (70)
  Completed education/training               13/60 (22)
    program
  Completed parenting class                  22/60 (37)
  Permanent, stable housing                  36/60 (60)

                                          Seattle replication
                                              (n=76) n (%)

Alcohol/drug treatment
  Inpatient or outpatient                        58/76 (76)
    Inpatient                                    41/76 (54)
    Outpatient                                   45/76 (59)
  Other (e.g., AA, counseling)                   55/76 (72)
Abstinence from alcohol/drugs
  [greater than or equal to]
    6 mo at program exit                         33/76 (43)
  [greater than or equal to]
    1 year at program exit                       26/76 (34)
  Abstinence [greater than or equal to]
    1 yr during program                          45/76 (59)
Family planning and subsequent birth
  Regular contraceptive use                      56/76 (74)
  Reliable method'                               37/76 (49)
  Subsequent pregnancy                           38/76 (50)
  Subsequent birth during program                22/76 (29)
    Unexposed to alcohol/drugs                    7/22 (32)
Primary income source
  Public assistance                              20/76 (26)
  Employment                                     22/76 (29)
Index child
  Custody at 3 years
    Biological mother                            43/76 (57)
    Other family                                 10/76 (13)
    Adopted                                      10/76 (13)
    State foster care                            13/76 (17)
  Regular well-child care (b)                    51/53 (96)
Connection with services
  Regular family healthcare                      67/76 (88)
  Mental health (c)                              29/37 (78)
  Completed education/training                   28/76 (37)
    program
  Completed parenting class                      54/76 (71)
  Permanent, stable housing                      61/76 (80)

                                             Tacoma replication
                                                 (n=80) n (%)

Alcohol/drug treatment
  Inpatient or outpatient                         58/80 (73)
    Inpatient                                     49/80 (61)
    Outpatient                                    34/80 (43)
  Other (e.g., AA, counseling)                    39/80 (49)
Abstinence from alcohol/drugs
  [greater than or equal to]
    6 mo at program exit                          31/80 (39)
  [greater than or equal to]
    1 year at program exit                        26/80 (33)
  Abstinence [greater than or equal to]
    1 yr during program                           37/80 (46)
Family planning and subsequent birth
  Regular contraceptive use                       57/80 (71)
  Reliable method'                                42/80 (53)
  Subsequent pregnancy                            30/80 (38)
  Subsequent birth during program                 20/80 (25)
    Unexposed to alcohol/drugs                     8/20 (40)
Primary income source
  Public assistance                               21/80 (26)
  Employment                                      23/80 (29)
Index child
  Custody at 3 years
    Biological mother                             45/79 (57)
    Other family                                  16/79 (20)
    Adopted                                       11/79 (14)
    State foster care                              7/79 (9)
  Regular well-child care (b)                     58/61 (95)
Connection with services
  Regular family healthcare                       59/80 (74)
  Mental health (c)                               34/43 (79)
  Completed education/training                    27/80 (34)
    program
  Completed parenting class                       50/80 (63)
  Permanent, stable housing                       53/80 (66)

                                          Replications combined
                                              (n=156) n (%)

Alcohol/drug treatment
  Inpatient or outpatient                    116/156 (74)
    Inpatient                                 90/156 (58)
    Outpatient                                79/156 (51)
  Other (e.g., AA, counseling)                94/156 (60)
Abstinence from alcohol/drugs
  [greater than or equal to]
    6 mo at program exit                      64/156 (41)
  [greater than or equal to]
    1 year at program exit                    52/156 (33)
  Abstinence [greater than or equal to]
    1 yr during program                       82/156 (53)
Family planning and subsequent birth
  Regular contraceptive use                  113/156 (72)
  Reliable method'                            79/156 (51)
  Subsequent pregnancy                        68/156 (44)
  Subsequent birth during program             42/156 (27)
    Unexposed to alcohol/drugs                 15/42 (36)
Primary income source
  Public assistance                           41/156 (26)
  Employment                                  45/156 (29)
Index child
  Custody at 3 years
    Biological mother                         88/155 (57)
    Other family                              26/155 (17)
    Adopted                                   21/155 (14)
    State foster care                         20/155 (13)
  Regular well-child care (b)                109/114 (96)
Connection with services
  Regular family healthcare                  126/156 (81)
  Mental health (c)                           63/80 (79)
  Completed education/training                55/156 (35)
    program
  Completed parenting class                  104/156 (67)
  Permanent, stable housing                  114/156 (73)

(a) Includes tubal ligation, consistent Depo Provera injections,
IUD, and Norplant implant.

(b) Among those in custody of biological mother or a family
member at exit.

(c) Among clients who expressed a need for the service.

COPYRIGHT 2005 Taylor & Francis Ltd.
COPYRIGHT 2005 Gale Group




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