ORIGINAL ARTICLE
An Economic Evaluation of the Parent–Child Assistance Programfor Preventing Fetal Alcohol Spectrum Disorder in Alberta,Canada
Nguyen Xuan Thanh • Egon Jonsson •
Jessica Moffatt • Liz Dennett • Anderson W. Chuck •
Shelley Birchard
� Springer Science+Business Media New York 2014
Abstract Parent–Child Assistance Program (P-CAP) is a
3-year home visitation/harm reduction intervention to
prevent alcohol exposed births, thereby births with fetal
alcohol spectrum disorder, among high-risk women. This
article used a decision analytic modeling technique to
estimate the incremental cost–effectiveness ratio and the
net monetary benefit of the P-CAP within the Alberta Fetal
Alcohol Spectrum Disorder Service Networks in Canada.
The results indicate that the P-CAP is cost–effective and
support placing a high priority not only on reducing alcohol
use during pregnancy, but also on providing effective
contraceptive measures when a program is launched.
Keywords Cost–effectiveness � Cost–benefit � Fetal
alcohol spectrum disorder � Parent–child assistance
program
Introduction
It is estimated that 1 % of Alberta’s population are living
with fetal alcohol spectrum disorder (FASD), which is a
lifelong disability including both cognitive and behavioural
deficits, as well as a range of physical problems caused by
exposure to alcohol during pregnancy. The total cost of
FASD (including cost of health, social, educational and
correctional services) in Alberta was estimated at $520
million in year 2009 (Thanh et al. 2011).
FASD is in principle entirely preventable, however,
there are many reasons for drinking during pregnancy,
which have to be addressed for successful prevention.
These may range from being unaware of being pregnant
during the early and vulnerable period of the fetus, to being
ignorant of the risks of drinking, and using alcohol as a
means of coping with challenging personal and socio-
economic circumstances. Whatever the reasons, effective
preventative strategies need to be identified, applied and
evaluated as to their outcomes.
Several approaches, from general awareness campaigns
to more intensive interventions aimed at women of child
bearing age who are addicted or abuse alcohol (high-risk
women), have been implemented in order to prevent
FASD. The Parent–Child Assistance Program (P-CAP) is
an example of a well-structured and targeted prevention
strategy aimed at high-risk women.
P-CAP is a 3-year home-visitation/case-management/
harm reduction mentorship intervention model, which was
initiated in 1991 by a research team at the University of
N. X. Thanh (&) � E. Jonsson � J. Moffatt � L. Dennett �A. W. Chuck
Institute of Health Economics, 1200, 10405 Jasper Ave.,
Edmonton, AB T5J 3N4, Canada
e-mail: [email protected]
E. Jonsson
e-mail: [email protected]
J. Moffatt
e-mail: [email protected]
L. Dennett
e-mail: [email protected]
A. W. Chuck
e-mail: [email protected]
N. X. Thanh � E. Jonsson � L. Dennett � A. W. Chuck
University of Alberta, Edmonton, AB, Canada
E. Jonsson
University of Calgary, Calgary, AB, Canada
S. Birchard
Addiction and Mental Health Branch, Alberta Health,
Edmonton, AB, Canada
e-mail: [email protected]
123
Adm Policy Ment Health
DOI 10.1007/s10488-014-0537-5
Washington (http://depts.washington.edu/pcapuw/). It
enrolls women who abuse substances (e.g. alcohol and/or
drugs) and are pregnant or up to 6 months postpartum. The
goal of P-CAP is to prevent subsequent alcohol and drug-
exposed births by encouraging the use of effective con-
traceptives and helping women decrease their use of
alcohol and drugs or abstain completely from them. Fur-
thermore, P-CAP aims to address the health and social
wellbeing of the mothers and their children by increasing
employment and reducing their dependency on welfare
income (Alberta P-CAP Council 2013).
To achieve these goals, mentors not only meet with
women in their home, but also provide community out-
reach to meet women in locations they frequent in the
community. At the initial contact, women are interviewed
to determine the family and community supports that they
may already be accessing, determine their goals, and
establish what other services may need to be accessed. It is
the women’s intentions and desires that drive the plan that
she and the mentor establish. The mentors are parapro-
fessionals who have at least 2 years of community-based
experience in social service settings working with indi-
viduals with complex needs and/or involved in high-risk
lifestyle. Mentors who have previously overcome their own
adversity are valued for this experience as it often becomes
the basis to solidify relationships with women involved in
P-CAP that have become mistrustful of services accessed
in the past. The mentor takes the woman to the appoint-
ments with healthcare professionals, mental health and/or
addiction appointments, physicians to discuss family
planning to support the women towards their goals which
may include family planning, parenting classes, vocational
training, and employment. Caseloads are kept to a man-
ageable fifteen clients. A majority of these cases are con-
sidered active clients which requires at the bare minimum
two meetings with the women, families and the women’s
support network per month. There may be more as needed
(Alberta P-CAP Council 2013).
In 1999, Ernst et al. (1999) examined the efficacy of the
original P-CAP model for improving health and social
outcomes of high-risk substance-abusing mothers and their
children in Seattle, USA. The P-CAP clients were compared
to concurrently enrolled controls on a composite variable
comprised of indicators of alcohol/drug treatment, absti-
nence, family planning, child well-being, and connection to
services. The authors found that on average the clients
obtained higher scores, than controls on the composite
variable, as well as on every indicator. The clients who
spent more time with P-CAP advocates had more positive
outcomes (e.g. higher scores on the composite variable).
In 2005, Grant et al. (2005) examined outcomes among
216 women enrolled in the Washington State P-CAP and
using a pretest–posttest comparison across three sites: the
original demonstration (1991–1995), and the Seattle and
Tacoma replications (1996–2003). In the original demon-
stration, the P-CAP clients performed significantly better
than controls. Compared to the original demonstration,
outcomes at replication sites were maintained (for regular
use of contraception and use of reliable method; and
number of subsequent deliveries), or improved (for alco-
hol/drug treatment completed; alcohol/drug abstinence;
subsequent delivery unexposed to alcohol/drugs). The
authors concluded that the P-CAP model is effective over
time and across venues.
The P-CAP model has been replicated at many other
locations in North America, including the province of
Alberta where P-CAP models were applied with different
names: ‘‘first steps’’ in 1999 (by Catholic Social Services,
Bissell Center, and Lethbridge), ‘‘P-CAP’’ in 2000 (by
McMan, Calgary), and ‘‘Mothers to be Mentorship Pro-
gram’’ in 2001 (by Lakeland Center for FASD, Cold Lake)
(Alberta P-CAP Council 2013).
In 2003, the Alberta FASD Cross-Ministry Committee
(FASD-CMC) was established to plan and deliver provin-
cial government programs and services associated with
FASD. Within this initiative, the FASD Service Networks
were established to provide diagnostic, supportive, and
preventive services. P-CAP is one of the preventive ser-
vices provided by the networks since 2008. There are
currently 25 P-CAP programs across the province.
Between 2008 and 2011, there have been 366 P-CAP cli-
ents served by the networks (Alberta FASD-CMC 2013a).
In 2012, Rasmussen et al. (2012) demonstrated the First
Steps program to be effective in improving outcomes (e.g.
birth control use, welfare rates, and abstinence from alco-
hol and/or drugs) among women at-risk for giving birth to a
child with FASD in Alberta. However, to the best of our
knowledge, no P-CAP programs in Canada have ever been
evaluated in an economic perspective. This study includes
economic evaluations of both the cost–effectiveness and
cost–benefit implications of the Alberta FASD-CMC fun-
ded P-CAP.
Methods
We used a decision analytic modeling technique (Briggs
et al. 2006) to estimate the number of FASD cases pre-
vented by the publicly funded P-CAP program. In the cost–
effectiveness analysis, we estimated the incremental cost
per prevented case. In the cost–benefit analysis, we mon-
etized the number of prevented cases by using the dis-
counted incremental lifetime cost per case with FASD,
which is approximately $800,000 (Thanh et al. 2011). This
calculation was used in comparison with the actual cost of
P-CAP to estimate the net monetary benefit of the program.
Adm Policy Ment Health
123
We used a societal perspective and converted all the costs
and benefits to 2013 Canadian dollars using the Bank of
Canada’s inflation calculator (http://www.bankofcanada.
ca/rates/related/inflation-calculator/), which is based on the
Consumer Price Index for Canada (Statistics Canada 2013).
Study Population
The three hundred sixty-six (366) women, who have been
served by the Alberta FASD-CMC P-CAP from 2008 to
2011 (Alberta FASD-CMC 2013a), were the study popu-
lation in this study. As the outcome is number of prevented
FASD cases, only the alcohol users, who accounted for
44 % of the total (95 % confidence interval 29–60 %)
(Pelech et al. 2013) were included in the analysis. The
remaining 56 % of the sample were excluded because they
were drug users.
Time Horizon
As P-CAP is a 3-year home visitation intervention and there
are no Alberta P-CAP data following up after 3 years, we
used a time horizon of 3 years for this study. This means that
the estimated costs and benefits occur within a 3-year period.
Of note, for those women who have yet to complete 3 years
with the P-CAP, we assumed that if they stay for 3 years, the
impact of P-CAP on them would be the same as the impact of
P-CAP on those who have completed the program.
Discounting
We used an annual discount rate of 5 % (CADTH 2006) for
estimating the cost of P-CAP per woman over the 3-year
period and the discounted incremental lifetime cost per case
with FASD (Thanh et al. 2011) for estimating the monetary
benefit of P-CAP. To avoid double discounting the benefit,
the prevented cases of FASD were not discounted.
Model Structure
The model compares between two options: (1) P-CAP
exists and (2) P-CAP does not exist (Fig. 1).
In option 1, women with heavy alcohol consumption
[the severity of drinking was based on the addiction
severity index (McLellan et al. 1992) and heavy drinking
was defined as C3 drinks daily or C5 drinks at a time
(binge) monthly] entering P-CAP may stay in the program
for 3 years or quit before the end of 3 years. In our model
the completers will bear the full cost and impact of P-CAP
while we assume that the quitters will bear half of the cost
but there will be no impact because of P-CAP. The cost
assumption is based on the average that quitters quit at the
Fig. 1 Model structure: P-CAP
exists versus P-CAP does not
exist
Adm Policy Ment Health
123
middle of the program and the impact assumption is con-
servative to avoid an overestimate of program benefits. Of
the women with heavy alcohol consumption entering
P-CAP, a proportion are pregnant at intake and the rest are
not (e.g. those who are post-delivery up to 6 months).
Among pregnant women at intake, women are in various
stages of pregnancy. For those who are in the 2nd and 3rd
trimesters of pregnancy at intake (Fig. 2) and those who are
not pregnant at intake or are pregnant at intake but giving no
live birth (Fig. 3), we considered that the impact of P-CAP is
only on the subsequent pregnancies if they have one. As there
are very few women who have more than one subsequent
pregnancy within 3 years (Rasmussen et al. 2012), we
included only the 1st subsequent pregnancy in the analysis.
For those who are in the 1st trimester of pregnancy at intake
and if they have a subsequent pregnancy (Fig. 2), we con-
sidered that the impact of P-CAP is on both pregnancies
(Pelech et al. 2013). We assumed that the impact of P-CAP
was maintained during the program time period. This
assumption is supported by studies in which the impact of
P-CAP is not only demonstrated after 3 years of the program,
but also after 12 and 24 months (Grant et al. 1996a, b).
Of the pregnant women, a proportion will have live
births and of these live births a portion will have an FASD.
We assumed that all live births are singleton. The impact of
P-CAP includes a reduction and abstinence from alcohol
and a reduced rate of subsequent pregnancy due to the
increased use of contraceptives. These will result in a
reduction of live births exposed to heavy alcohol con-
sumption during pregnancy, and therefore in a reduction of
the number of FASD cases. Option 2 is similar to option 1,
except there is no impact of P-CAP. This results in a higher
rate of subsequent pregnancy (due to lower use of contra-
ceptives) and all the live births exposed to heavy alcohol
consumption during pregnancy, thus resulting in more
FASD cases.
Fig. 2 Sub-model structure for
pregnant women at intake
Fig. 3 Sub-model structure for
women who are not pregnant at
intake or pregnant at intake but
giving no live birth
Adm Policy Ment Health
123
Model Inputs
All the inputs for the model are shown in Table 1. Gen-
erally, we tried to use the actual data from Alberta’s FASD
service networks as much as possible. For some inputs
where the actual data was not available, we performed a
systematic review of the literature and a meta-analysis to
pool the findings in those studies.
Specifically, the probability of women who stay in
P-CAP (91 %), the probability of alcohol users among
P-CAP women (44 %), the probability of women who are
pregnant at intake (49 %), the probability of pregnancy in
the 1st trimester at intake (16 %), the probability of women
having a live birth (87 %), the probability of women who
reduce alcohol use during enrollment in P-CAP (64 %),
and the probability of women who are abstinent from
alcohol during enrollment in P-CAP (11 %), were retrieved
from reports of Alberta’s FASD service networks (Pelech
et al. 2013; Alberta FASD Service Networks 2012).
The probability of subsequent pregnancy if P-CAP
exists (29 %) was retrieved from the First Steps program
(Rasmussen et al. 2012). The probability of subsequent
pregnancy if P-CAP did not exist (42 %) were estimated
based on the probability of subsequent pregnancy if P-CAP
exists (29 %) and the rates of contraceptive use before
(36 %) and after (56 %) the First Steps program (Ras-
mussen et al. 2012).
The probabilities of FASD among live births exposed to
heavy, reduced, or no maternal alcohol consumption during
pregnancy were estimated from a systematic literature
review in which we used a random effect model for the
meta-analysis (Borenstein et al. 2013). We performed a
comprehensive literature search in the following databases:
Medline, EMBASE, PsycINFO, CINAHL, Social Work
Abstracts, SocINDEX. The search included numerous
subject headings and keyword terms for the concepts of
FASD and drinking during pregnancy. These were com-
bined with study type terms to limit to epidemiological
studies (including case–control and cohort studies). We
limited the scope of the search to studies examining the
rate of FASD which results from in utero alcohol exposure.
We did not limit the search by country or year. Only
English studies were included in our search. Reference lists
of included studies were also searched in order to identify
further studies. Regarding inclusion and exclusion criteria,
we included only peer-reviewed epidemiological studies.
Table 1 Model inputs
Variable name Description Mean Low High Data sources
pStay Probability of women who stay in P-CAP 0.91 0.87 0.94 Alberta FASD Service
Networks (2012)
pAlcohol Probability of alcohol use among P-CAP women 0.44 0.29 0.60 Pelech et al. (2013)
pPregnant Probability of pregnancy at intake 0.49 0.43 0.55 Alberta FASD Service
Networks (2012)
pFirst Probability of pregnancy in the first trimester at intake 0.16 0.07 0.29 Pelech et al. (2013)
pLivebirth Probability of giving live births 0.87 0.80 0.92 Alberta FASD Service
Networks (2012)
pReduce Probability of women who reduce alcohol
use due to P-CAP
0.64 0.58 0.70 Alberta FASD Service
Networks (2012)
pAbstinence Probability of women who abstinence from alcohol
due to P-CAP
0.11 0.08 0.16 Alberta FASD Service
Networks (2012)
pBecomePregnant Probability of subsequent pregnancy if P-CAP exists 0.29 0.18 0.41 Rasmussen et al. (2012)
pBecomePregnant2 Probability of subsequent pregnancy if P-CAP
did not exist
0.42 0.29 0.54 Rasmussen et al. (2012)
pHeavyFASD Probability of FASD among heavily exposed
to alcohol during pregnancy
0.69 0.54 0.84 Autti-Ramo et al. (1992),
Astley (2010), Aronson et al.
(1985), Autti-Ramo (2000),
Kuehn et al. 2012; Godel
et al. (2000), Kyllerman et al.
(1985)
pReduceFASD Probability of FASD among reduced exposure
to alcohol during pregnancy
0.15 0.06 0.30 Autti-Ramo et al. (1992)
pAbstinenceFASD *Upper value of 95 % CI of probability of FASD
among light exposure to alcohol during pregnancy
0.00 0.00 0.10* Godel et al. (2000)
cFASD Incremental lifetime cost per case with FASD 800,000 640,000 960,000 Thanh et al. (2011)
cP-CAP P-CAP cost per woman over the 3 year period 19,782 15,826 23,739 Alberta FASD-CMC (2013a, b)
P-CAP Parent–Child Assistance Program, FASD fetal alcohol spectrum disorder
Adm Policy Ment Health
123
Abstracts, systematic reviews, editorials, and thesis sub-
missions were excluded. Also, we excluded studies which
did not result in a FASD diagnosis. Details on the sys-
tematic review are available upon request.
In total, 826 articles were found. Of these, 683 were
excluded after reviewing titles and abstracts, meaning 143
full text articles were retrieved. The lists of references for
these 143 articles were assessed and three additional articles
were included. After independently reviewing by two
authors (NXT and JM) seven studies were qualified for data
extraction (Autti-Ramo et al. 1992; Astley 2010; Aronson
et al. 1985; Autti-Ramo 2000; Kuehn et al. 2012; Godel et al.
2000; Kyllerman et al. 1985). However, only the probability
of FASD among live births exposed to heavy alcohol con-
sumption during pregnancy (69 %) was pooled from all
seven studies. The probability of FASD among live births
exposed to reduced alcohol consumption during pregnancy
(15 %) was assumed equal to the probability of FASD
among live births whose mothers stopped drinking during
pregnancy. This was pooled from the probabilities of FASD
among live births whose mothers stopped drinking in the 1st
and 2nd trimesters as reported by Autti-Ramo et al. (1992).
The probability of FASD among live births whose mothers
are abstinent from alcohol for entire pregnancy is 0 %.
Conservatively, in the sensitivity analysis we varied this to
10 %, which was the upper value of the 95 % confidence
interval of the probability of FASD among live births whose
mothers drink lightly as reported by Godel et al. (2000). Of
note, as we focused on FASD, studies only estimating
probabilities of Fetal Alcohol Syndrome (FAS) among pre-
natally alcohol exposed live births were not qualified for data
extraction in our systematic review.
Regarding cost inputs, the discounted incremental life-
time cost per case with FASD was taken from the litera-
ture. This cost was $742,000 in 2009 Canadian dollars
(Thanh et al. 2011). After being inflated to 2013 Canadian
dollars and rounding up, it is $800,000. The P-CAP cost
per woman per year ($6,918) was estimated by dividing the
actual annual spending for P-CAP (*2.5 million in fiscal
year 2011/12) (Alberta’s FASD-CMC 2013b) by the
number of women who have participated in P-CAP (366)
(Alberta FASD-CMC 2013a), and then inflating to 2013
Canadian dollars. After discounting 5 % annually (CADTH
2006) for the second and third years, the P-CAP cost per
woman over the 3 year period was estimated at $19,782.
Sensitivity Analysis
We performed a one-way sensitivity analysis for all the
inputs and reported the results by tornado diagrams
(Figs. 4, 5, 6). All the costs were varied by 20 % and all the
probabilities were varied between the lower and the upper
ends of 95 % confidence intervals (Table 1). Of note, we
did not perform the sensitivity analysis for the variation of
discount rate (0 and 3 %) as suggested by Canadian
Agency for Drugs and Technologies in Health (CADTH
2006) because this variation makes the P-CAP cost per
woman per the 3-year period vary within the range of the
cost ±20 %. In Figs. 4, 5, 6, EV stands for expected value
which is resulted from the mean inputs. The EV is varied
by the variation of each input parameter. The tornado
diagrams show the largest variation of the EV on the top
and the smallest at the bottom corresponding to the varia-
tions of input parameters in the legend box.
Stata MP 11 (StataCorp, 4905 Lakeway Drive, College
Station, Texas 77845 USA) and TreeAge Pro 2012 (Tre-
eAge Software, Inc., One Bank Street, Williamstown, MA,
01267 USA) were used for data analysis.
Results
Our model estimated that 56 live births with FASD would
be delivered by women who consumed alcohol during
pregnancy and who participated in the Alberta P-CAP
program. If the P-CAP program did not exist, that number
would have been 87. Therefore, the number of FASD cases
prevented by the P-CAP program was estimated at 31
(Table 2).
Table 2 also shows that the incremental cost per pre-
vented FASD case was $97,000 and the net monetary
benefit of the P-CAP program was $22 million.
The sensitivity analysis shows that the number of FASD
cases prevented by the P-CAP programs varied from 20 to
43, the incremental cost per prevented FASD case from
$72,000 to $153,000, and the net monetary benefit from
$13 million to $31 million (Figs. 4, 5, 6; Table 2).
The results of the model (all three outcome indicators) were
most sensitive to the likelihood of subsequent pregnancy, the
likelihood of alcohol use among P-CAP women, and either
likelihood of cases of FASD among live births exposed to
heavy alcohol consumption during pregnancy or the cost of
P-CAP, depending on the outcome indicators (Figs. 4, 5, 6).
Discussion
This is the first study estimating the incremental cost
effectiveness ratio (ICER) and the net monetary benefit of a
PCAP program. The results estimate that the program
prevented approximately 31 (range 20–43) cases of FASD
among the 366 clients in a 3-year period. The incremental
cost per prevented case (or ICER) is approximately
$97,000 (range $72,000–$153,000). The net monetary
benefit is approximately $22 million (range $13–$31 mil-
lion). Compared to the discounted incremental lifetime cost
Adm Policy Ment Health
123
Fig. 4 Tornado diagram of the
number of prevented FASD
cases (EV expected value)
Fig. 5 Tornado diagram of the
incremental cost per prevented
FASD case (EV expected value)
Adm Policy Ment Health
123
per case with FASD ($800,000) (Thanh et al. 2011), the
results indicate that the program is cost–effective and the
net monetary benefit is significant.
We should note that the benefit is likely underestimated
as the study did not include benefits from the reduction in
unemployment and welfare income dependence rates
among P-CAP participants.
According to Rasmussen et al. (2012) the First Steps pro-
gram in Alberta could reduce the unemployment rate from 99
to 87 % and the welfare income dependence rate from 92 to
72 %. If the Alberta P-CAP could do the same and if an
employed P-CAP woman could earn $23,6111 a year and the
welfare income was $17,1722 per women per year (National
Council of Welfare 2011), we would expect an extra benefit of
$2.3 million [employment: (99–87 %) 9 366 9 $23,611–$1
million ? welfare independent: (92–72 %) 9 366 9 $17,172–
$1.3 million] per year for the P-CAP. If the Alberta P-CAP’s
impact was the same as the P-CAP in Washington State (the
unemployment rate decreased from 96 to 71 % and the
welfare income dependence rate decreased from 71 to 26 %)
(Grant et al. 2005), the extra benefit would be approximately
$5 million per year.
Additionally, the benefit is likely underestimated as the
study did not include the benefits for the quitters who were
assumed to quite the program at 18 months on average
while the P-CAP may have significant outcomes after
12 months (Grant et al. 1996b).
Among the clients entering the PCAP program, 56 % are
abusing drugs (Pelech et al. 2013). This study did not include
the potential benefits of the P-CAP program on reduction of
drug abuse which clearly deserves further study.
In conclusion, this economic evaluation indicates that
P-CAP is cost–effective and produces a significant net
monetary benefit for Alberta. The sensitivity analyses point
at the increased use of contraceptives as a factor that has a
significant impact on the outcomes. This finding speaks for
placing a high priority not only on reducing alcohol use
during pregnancy but also on providing effective measures
for family planning and pregnancy protection when a
P-CAP program is launched.
Acknowledgments This study is financially supported by Alberta
Health. We are grateful to Teresa O’Riordan, Executive Director of
the Northwest Central Alberta FASD Network, Dr. Arto Ohinmaa,
University of Alberta School of Public Health, and Dr. Philip Jacobs,
University of Alberta Dept. of Medicine, for providing valuable
information.
References
Alberta FASD-CMC. (2013a). 2011/2012 Annual report. http://fasd.
alberta.ca/fasd-cmc-annual-report-11-12.aspx.
Alberta FASD Service Networks. (2012). Provincial evaluation
report. http://fasd.alberta.ca/publications.aspx.
Fig. 6 Tornado diagram of the
net monetary benefit (EV
expected value)
Table 2 Cost–effectiveness and cost–benefit of P-CAP in Alberta
Base–case Range
Number of prevented
FASD cases
31 20–43
Incremental cost per
prevented FASD case
$97,000 $72,000–$153,000
Net monetary benefit $22 million $13–$31 million
P-CAP Parent–Child Assistance Program, FASD fetal alcohol spec-
trum disorder
1 Assumed equal to the market basket measure threshold for lone
parent with one child in Alberta in 2009 inflated to 2013 dollars.2 The welfare income for lone parent with one child in Alberta in
2009 inflated to 2013 dollars.
Adm Policy Ment Health
123
Alberta’s FASD-CMC. (2013b). 2011/2012 FASD service networks
annual expenditure summary. (Unpublished document).
Alberta PCAP Council. (2013). History of the Alberta PCAP Model. http://
fasd.alberta.ca/provincial-initiatives.aspx.
Aronson, M., Kyllerman, M., Sabel, K. G., Sandin, B., & Olegard, R.
(1985). Children of alcoholic mothers. Developmental, percep-
tual and behavioural characteristics as compared to matched
controls. Acta Paediatrica Scandinavica, 74(1), 27–35.
Astley, S. J. (2010). Profile of the first 1,400 patients receiving
diagnostic evaluations for fetal alcohol spectrum disorder at the
Washington State Fetal Alcohol Syndrome Diagnostic &
Prevention Network. The Canadian Journal of Clinical Phar-
macology, 17(1), e132–e164.
Autti-Ramo, I. (2000). Twelve-year follow-up of children exposed to
alcohol in utero. Developmental Medicine and Child Neurology,
42(6), 406–411.
Autti-Ramo, I., Korkman, M., Hilakivi-Clarke, L., Lehtonen, M.,
Halmesmaki, E., & Granstrom, M. L. (1992). Mental develop-
ment of 2-year-old children exposed to alcohol in utero. Journal
of Pediatrics, 120(5), 740–746.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., Rothstein, H. R.
(2013). Introduction to meta-analysis. http://www.meta-analysis.
com/downloads/Intro_Models.pdf.
Briggs, A., Claxton, K., & Sculpher, M. (2006). Decision modelling
for health economic evaluation. Oxford: Oxford University
Press.
CADTH. (2006). Guidelines for the economic evaluation of health
technologies: Canada (3rd Ed.). Canadian Agency for Drugs and
Technologies in Health, Ottawa. http://www.cadth.ca/media/pdf/
186_EconomicGuidelines_e.pdf.
Ernst, C. C., Grant, T. M., Streissguth, A. P., & Sampson, P. D.
(1999). Intervention with high-risk alcohol and drug-abusing
mothers: II. Three-year findings from the Seattle model of
paraprofessional advocacy. Journal of Community Psychology,
27(1), 19–38.
Godel, J. C., Lee, B. E., McCallum, D. E., et al. (2000). Exposure to
alcohol in utero: Influence on cognitive function and learning in
a northern elementary school population. Paediatrics and Child
Health, 5(2), 93–100.
Grant, T. M., Ernst, C. C., & Streissguth, A. P. (1996a). An
intervention with high risk mothers who abuse alcohol and
drugs: The Seattle advocacy model. American Journal of Public
Health, 86(12), 1816–1817.
Grant, T. M., Ernst, C. C., Streissguth, A. P., Phipps, P., & Gendler,
B. (1996b). When case management isn’t enough: A model of
paraprofessional advocacy for drug- and alcohol-abusing moth-
ers. Journal of Case Management, 5(1), 3–11.
Grant, T. M., Ernst, C. C., Streissguth, A. P., & Stark, K. (2005).
Preventing alcohol and drug exposed births in Washington State:
Intervention findings from three Parent-Child Assistance Pro-
gram sites. The American Journal of Drug and Alcohol Abuse,
31, 471–490.
Kuehn, D., Aros, S., Cassorla, F., et al. (2012). A prospective cohort
study of the prevalence of growth, facial, and central nervous
system abnormalities in children with heavy prenatal alcohol
exposure. Alcoholism, Clinical and Experimental Research,
36(10), 1811–1819.
Kyllerman, M., Aronson, M., Sabel, K. G., Karlberg, E., Sandin, B.,
& Olegard, R. (1985). Children of alcoholic mothers. Growth
and motor performance compared to matched controls. Acta
Paediatrica Scandinavica, 74(1), 20–26.
McLellan, A. T., Kushner, H., Metzger, D., et al. (1992). The fifth
edition of the addiction severity index. Journal of Substance
Abuse Treatment, 9(3), 199–213.
National Council of Welfare. (2011). Welfare income 2009—update
as March 2011. http://epe.lac-bac.gc.ca/100/205/301/ncw-cnb/
2012-09-27/www.ncw.gc.ca/servlet/welfare_incomes_2009_up
date_as_of_march_2011.pdf.
Pelech, W., Pei, J., & Poth, C. (2013). Year 5 evaluation of the
government of Alberta’s FASD 10 year strategic plan. Outcome
1b. Edmonton: Alberta Center for Child, Family & Community
Research.
Rasmussen, C., Kully-Martens, K., Denys, K., et al. (2012). The
effectiveness of a community-based intervention program for
women at-risk for giving birth to a child with fetal alcohol
spectrum disorder (FASD). Community Mental Health Journal,
48, 12–21.
Statistics Canada. (2013). Consumer price index, historical summary.
http://www.statcan.gc.ca/tables-tableaux/sum-som/l01/cst01/
econ46a-eng.htm.
Thanh, N. X., Jonsson, E., Dennett, L., & Jacobs, P. (2011). Costs of
FASD. In E. P. Riley, S. Clarren, J. Weinberg, & E. Jonsson
(Eds.), Fetal alcohol spectrum disorder—Management and
policy perspectives of FASD (pp. 45–69). Hoboken: Wiley-
Blackwell.
Adm Policy Ment Health
123