Interact with the FASDPN Data via Tableau Dashboards    

**** Important Terms and Conditions of Use ****

Before interacting with the FASDPN Tableau Dashboards below,
please read the FASDPN's Website Disclaimer which includes
the University of Washington Website Terms and Conditions of Use.

Your interaction with the dashboards affirms
you have read and accepted the conditions presented in the Disclaimer.

Please do not distribute information from the Dashboards without written permission from Susan Astley Ph.D.

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 2,500 individuals evaluated in the WA FASDPN clinics from 1993 through 2016. All indivduals 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. 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. 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:

  1. Diagnostic Guide for FASD: The 4-Digit Diagnostic Code. (Astley, 2004).
  2. Validation of the FASD 4-Digit Diagnostic Code (Astley, 2013)

The dashboards are designed to be viewed using a desktop computer. The larger monitor that comes with a desktop computer will allow the User to more easily view and interact with the dashboards.

FASDPN Dashboards:

Currently Available:

  1. Number of Clinicians Worldwide that completed the FASD 4-Digit Code Online Course
    Over 900 clinicians worldwide have completed the FASD 4-Digit Code Online Course through 2016. An interactive world map protrays the number of course completions by city/country. More details about the Course are available on our website.

  2. Number of FAS Facial Photographic Analysis Software licenses distributed worldwide.
    Over 2,900 software licenses have been distributed across 29 countries. An interactive world map portrays the number of software licenses distributed by city/country. More details about the software are available on our website.

  3. FASD Diagnoses by Washington State County
    Displays the number and percent of individuals (n = 2,076) 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. 4-Digit Code FASD Diagnoses Worldwide
    Displays a world map with the number of individuals 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 PhD at astley@uw.edu).
    Clinics currently posting data:

    1. FASDPN, WA USA (1993-2016) newborn to adult.
    2. FASDx Services LLC, AK USA (2010-2015) newborn to adult
    3. Centre for Diagnostic, Prevention and Therapy of FAS, Slovakia
    4. INTER-PSY, Groningen, The Netherlands (2013-2016) newborn to adult

  5. 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 over 2,500 individuals (birth through adult) diagnosed at the University of Washington FASDPN clinic from 1993-2016. Parse and view outcomes by gender, age, and race/ethnicity.

  6. 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).

  7. Correlations between the Physical/Neurological Features of FASD and Prenatal Alcohol Exposure.
    Alcohol is a teratogen the adversely impacts the physical development of the fetus. This dashboard displays the 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 findings, the higher the reported prenatal alcohol exposure.

  8. Correlations between Growth Deficiency and Prenatal Alcohol Exposure.
    This dashboard displays the correlation 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.

  9. Correlations between FAS Facial Features and Prenatal Alcohol Exposure.
    This dashboard displays the correlation 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.

  10. Correlations between CNS Dysfunction and Prenatal Alcohol Exposure.
    This dashboard displays the correlation between prenatal alcohol exposure and measures of CNS structural and functional abnormalities as defined and detected by the 4-Digit Code. The CNS structural measures presented in this dashboard and the dashboard entitled "Correlations between Physical/Neurological Features of FASD and Prenatal Alcohol Exposure" appear more strongly correlated with prenatal alcohol exposure than many of the CNS functional measures. Measures of CNS function may appear less correlated with prenatal alcohol because alcohol is just one of many risk factors impacting CNS function in this patient population.

  11. Neurobehavioral Profiles across the Full Range of FASD Diagnoses.
    Explore how the neurobehavioral profiles vary by age across the full range of FASD diagnoses.

  12. Child Behavior Checklist/6-18: Problem Scales by FASD Diagnosis and Gender.
    This dashboard displays the proportion of individuals (n > 800) 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.

  13. Child Behavior Checklist/6-18: Syndrome Scales by FASD Diagnosis and Gender.
    This dashboard displays the proportion of individuals (n > 800) 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.


  14. 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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