Overview of Dashboards:
The web-based dashboards below allow Users to interact with the FASDPN data by selecting different combinations of parameters from drop-down menus. The data are presented in aggregate format with no personal identifiers or links to personal identifiers.
The dashboards are constructed from information stored in the FASDPN clinical/research and training databases. The clinical/research database contains over 2,000 fields of information collected on over 3,000 individuals with prenatal alcohol exposure evaluated in the WA FASDPN clinics from 1993 through the present. The individuals span the entire age range (birth to adult) with a racial distribution roughly equivalent to that of Washington State. All individuals received an FASD diagnstic evaluation by an interdisciplinary team using the FASD 4-Digit Diagnostic Code. All information entered into the database was collected with patient consent and Human Subjects Review Board approval.
Below is a list of currently available Dashboards. These Dashboards were first posted in 2016. New Dashboards will be added and existing Dashboards will be updated on a routine basis. It is important to note that the FASDPN database is dynamic; changing daily. Thus, the content of the Dashboards will also be dynamic; change from day to day.
It is important not to over-interpret or mis-interpret the data presented in the dashboards. The data displayed in the dashboards are best used to generate hypotheses, not test hypotheses. The correlations you observe in our data are "univariate" correlations. They have not been adjusted for potential confounders. These dashboards are intended for clinical researchers. They should NOT be used to guide individual patient care. We encourage all Users to become familiar with the FASDPN Clinical Program and FASD 4-Digit Code. To facilitate this, each dashboard provides the User with direct access to all information and publications posted on our FASDPN website. Two core publications that will assist your interpretation of our data include:
- Diagnostic Guide for FASD: The 4-Digit Diagnostic Code. (Astley, 2004).
- Validation of the FASD 4-Digit Diagnostic Code (Astley, 2013)
The dashboards can be viewed on any electronic device (computer, laptop, smart phone), but are best viewed on devices with larger monitors.
FASDPN Dashboards:
Currently Available:
- Number of Clinicians Worldwide that completed the FASD 4-Digit Code Online Course
Over 1,300 clinicians worldwide have completed the FASD 4-Digit Code Online Course through October 2021. An interactive world map protrays the number of course completions by city/country. More details about the Course are available on our website.
- Number of FAS Facial Photographic Analysis Software licenses distributed worldwide.
Over 1,200 software licenses have been distributed across 29 countries through 2021. An interactive world map portrays the number of software licenses distributed by city/country. More details about the software are available on our website.
- FASD Diagnoses by Washington State County
Displays the number and percent of individuals (n = 2,362) receiving a diagnosis under the umbrella of FASD based on the Washington State county they resided in at the time of their FASD diagnostic evaluation. The dashboard includes a map of WA State counties and a bar chart reflecting the prevalence of FASD diagnoses (FAS, PFAS, etc). Click on each county and the Diagnoses bar chart will reflect the distribution of FASD diagnoses for that county. Click on a diagnosis (FAS, PFAS, etc) in the bar chart and the prevalence of that diagnosis for each county will appear on the map.
- 4-Digit Code FASD Diagnoses Worldwide
Displays a world map with the number of individuals (n = 5,340) that received a diagnosis under the umbrella of FASD based on the State, Province, and/or County the individual resided in at the time of their FASD diagnostic evaluation. These diagnoses were rendered by interdisciplinary diagnostic teams worldwide using the FASD 4-Digit Diagnostic Code. Users may view the outcomes by Clinic and by Diagnostic Outcome (FAS, PFAS, SE/AE and ND/AE). Clinics worldwide are invited to post their FASD 4-Digit Code diagnostic outcomes on this map (contact Susan Astley Hemingway PhD at astley@uw.edu).
Clinics currently posting data:
- FASDPN, Washington State, USA(1993-2020) newborn to adult (n = 2,464).
- FASDx Services LLC, Anchorage, Alaska, USA (2010-15) newborn to 18 years old.
- Centre for Diagnostic, Prevention and Therapy of FAS, Slovakia.
- INTER-PSY, Groningen, The Netherlands (2013-16) newborn to adult.
- Gelre Ziekenhuizen, Zutphen, Genderland, The Netherlands (2008-11).
- Gold Coast Health FASD Clinic, Southport, Queensland, Australia
(2014-19) birth to 12 years old (predominantly 7-12 yrs).
- Polish Institute of FASD, Silesia, Poland (2019-21).
- Alaska Mental Health Trust Authority, Alaska, USA (1999-2020) newborn to adult (n = 2,357). See the extensive summary (38 tables, 20 figures) of the Alaska data published by the Alaska Mental Health Trust Authority in 2020.
- Prevalence of 4-Digit Code FASD Diagnoses and Growth, Face, CNS, and Alcohol Ranks by Gender, Age, and Race/Ethnicity.
Prevalence of FASD 4-Digit Code Diagnoses and Growth, Face, CNS, and Alcohol Ranks for 2,488 individuals (birth through adult) diagnosed at the University of Washington FASDPN clinic from 1993-2020 by an interdisciplinary team using the FASD 4-Digit Code. Parse and view outcomes by sex, age, and race/ethnicity.
- FASD WA State FASD Diagnostic Outcomes by Patient's Birth Cohort
This dashboard displays the prevalence of FAS/PFAS, SE/AE and ND/AE across 2,047 patients by patient birth cohort. The birth cohorts span 7 decades from 1943 to 2009 and are clustered into 5 groups. Over the decades, the incidence of FAS decreases, especially among the subset of patients 7 years of age and older at the time of their diagnosis (when they are old enough to engage in the necessary CNS functional assessments to render an accurate FAS diagnosis).
- Correlations between the Physical/Neurological Features of FASD and Prenatal Alcohol Exposure.
Alcohol is a teratogen that adversely impacts the physical development of the fetus. This dashboard displays the statistically significant correlations between prenatal alcohol exposure and the physical/neurological abnormalities that define FASD (growth deficiency, FAS facial features, microcephaly, CNS structural abnormalities, and siezure disorders) as documented in the 4-Digit Code. The more severe the physical/neurological outcomes, the higher the reported prenatal alcohol exposure.
- Correlations between Growth Deficiency and Prenatal Alcohol Exposure.
This dashboard displays the statistically significant correlations between prenatal alcohol exposure and growth deficiency as defined and detected by the 4-Digit Code. The more days/week of alcohol consumption during pregnancy, the more severe the growth deficiency.
- Correlations between FAS Facial Features and Prenatal Alcohol Exposure.
This dashboard displays the statistically significant correlations between prenatal alcohol exposure and the FAS facial features (short PFLs, smooth philtrum, and thin upper lip) as defined and detected by the 4-Digit Code. The more days/week of alcohol consumption during pregnancy, the more severe the FAS facial features.
- Correlations between CNS Dysfunction and Prenatal Alcohol Exposure.
This dashboard displays the intercorrelations between prenatal alcohol exposure, CNS structural and functional abnormalities, and FASD diagnoses observed among 2,283 individuals. Three measures of alcohol exposure (days/week, trimesters, binge drinking) are presented. Nine domains of CNS function (cognition, achievement, adaptation, language, executive function/memory, motor sensory, ADHD, behavioral and development) are presented. Users can observe how the patterns of CNS dysfunction and levels of alcohol exposure change across each diagnosis. The dashboard illustrates 2 general trends: 1) Higher exposures are associated with more severe outcomes. 2) But severe outcomes including FAS/PFAS are also observed among those with reportedly lower exposures.
- Prevalence of other Prenatal and Postnatal Risk Factors among Individuals with FASD.
Individuals with prenatal alcohol exposure typically present with additional other risk factors (e.g., prenatal exposure to tobacco and illicit drugs, physical/sexual abuse) that contribute to their impaired growth and development. Explore how prevalent these risk factors are and how their prevalence varies by sex, age and FASD diagnosis among 2,488 individuals with FASD.
- Child Behavior Checklist/6-18: Problem Scales by FASD Diagnosis and Gender.
This dashboard displays the proportion of individuals (n = 997) that scored in the Normal, Borderline, and Clinical ranges on the CBCL/6-18 Internalizing, Externalizing and Total Problem scales. The outcomes can be parsed on gender and FASD diagnosis. The CBCL is a standardized questionnaire completed by caregivers. It is used to detect behavioral and emotional problems in children and adolescents (6-18 years of age).
- Child Behavior Checklist/6-18: Syndrome Scales by FASD Diagnosis and Gender.
This dashboard displays the proportion of individuals (n = 730) that scored in the Normal, Borderline, and Clinical ranges on the CBCL/6-18 Syndrome scales. The outcomes can be parsed on gender and FASD diagnosis. The CBCL is a standardized questionnaire completed by caregivers. It is used to detect behavioral and emotional problems in children and adolescents (6-18 years of age).
- Maternal Alcohol Use and Fertility at the Time of their Child's FASD Diagnosis.
FASD prevention starts with FASD diagnosis. An FASD diagnostic clinic provides an opportunity to identify and intervene with women at high risk for bearing additional children with FASD. This dashboard documents the risk status of over 600 birth mothers of children receiving a diagnosis under the umbrella of FASD between 2001 and 2014.
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