{"id":36,"date":"2024-05-09T13:50:04","date_gmt":"2024-05-09T13:50:04","guid":{"rendered":"https:\/\/nas1.wpenginepowered.com\/?page_id=36"},"modified":"2025-03-06T19:41:01","modified_gmt":"2025-03-06T19:41:01","slug":"surveillance-by-jurisdiction","status":"publish","type":"page","link":"https:\/\/nas.cste.org\/?page_id=36","title":{"rendered":"surveillance by jurisdiction"},"content":{"rendered":"

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Surveillance By Jurisdiction<\/span><\/strong><\/h2>\n

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There is variation across jurisdictions in whether or not NAS surveillance is conducted, the type of surveillance conducted, and the program within the health department where NAS surveillance is housed based on individual jurisdiction priorities, funding, and local policy or regulations. Below is a summary of surveillance and contact information shared by jurisdictions across the country to enhance the opportunities for collaboration and learning.<\/span><\/p>\n<\/div>\n<\/div>\n

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\n Jurisdiction <\/td>\n \n Program where NAS\n Surveillance is Housed <\/td>\n \n Year NAS Surveillance\n Began <\/td>\n \n Type of Surveillance <\/td>\n \n Data Sources <\/td>\n \n Data Analysis Tools <\/td>\n \n Uses of NAS Surveillance\n Data <\/td>\n \n Public NAS Data <\/td>\n <\/tr>\n
\n Alaska <\/td>\n \n Birth Defects Registry\n Maternal and Child Health Division Alaska Department of Health <\/td>\n \n 2019 <\/td>\n \n Tier 2 <\/td>\n \n Birth Defects registries, Medicaid Claims Data, Private Insurer Databases <\/td>\n \n R <\/td>\n \n Assessing jurisdictional, baseline rates of NAS, \u2022 Education\/public awareness, \u2022 Monitoring outbreaks and cluster investigations \u2022 Observed vs. expected analyses \u2022 Rates by demographic and other variables \u2022 Routine statistical monitoring \u2022 Time trends <\/td>\n \n Reports <\/td>\n <\/tr>\n
\n Arizona <\/td>\n \n Birth Defects Monitoring Program\n Health Registries and Reporting Section Arizona Department of Health Services <\/td>\n \n 2017 <\/td>\n \n Tier 1 & 2 <\/td>\n \n Birth Defects Registries, Hospital Discharge Data, Provider Reporting* <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS \u2022 Education\/public awareness \u2022 Grant proposals \u2022 Grant reporting \u2022 Needs assessment \u2022 Prevention projects \u2022 Rates by demographic and other variables \u2022 Referral of family to services\/Linkage to care <\/td>\n \n Dashboard is in progress. Reports based on HDD data are available. <\/td>\n <\/tr>\n
\n California <\/td>\n \n Epidemiology, Surveillance, and Federal Reporting Section\n Maternal, Child, and Adolescent Health Division California Department of Public Health <\/td>\n \n 2009 <\/td>\n \n Tier2 <\/td>\n \n Hospital Discharge Data <\/td>\n \n SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS \u2022 Education\/public awareness \u2022 External dashboards \u2022 Needs assessment \u2022 Rates by demographic and other variables \u2022 Routine statistical monitoring <\/td>\n \n CDPH MCAH NAS dashboard <\/td>\n <\/tr>\n
\n Connecticut <\/td>\n \n Maternal and Child Health Epidemiology Unit\n Connecticut Department of Public Health <\/td>\n \n Unkown <\/td>\n \n Tier 2 <\/td>\n \n Birth Defects Registries, Hospital Discharge Data <\/td>\n \n SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS \u2022 Needs assessment \u2022 Public health program evaluation \u2022 Rates by demographic and other variables \u2022 Routine statistical monitoring \u2022 Time trends <\/td>\n \n Factsheet available <\/td>\n <\/tr>\n
\n Florida <\/td>\n \n Florida Birth Defects Registry\nFlorida Department of Health (contracting with the Birth Defects Surveillance Program, University of South Florida <\/td>\n \n 2014 (passive)\n2022 (active) <\/td>\n \n Tier 1 & 2 <\/td>\n \n Hospital Discharge Data <\/td>\n \n Excel, R, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Epidemiological studies (using only program data)\u2022 Grant proposals\u2022 Grant reporting\u2022 Identification of potential cases for other epidemiologic studies\u2022 Internal dashboards\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring\u2022 Scientific publication\u2022 Time trends <\/td>\n \n Florida CHARTS <\/td>\n <\/tr>\n
\n Georgia <\/td>\n \n Newborn Surveillance Team\nChild Health SectionDivision of EpidemiologyGeorgia Department of Public Health <\/td>\n \n 2016 <\/td>\n \n Tier 1 & 2 <\/td>\n \n Hospital Discharge Data, Laboratory Reporting, Other, Provider Reporting <\/td>\n \n ESRI Dashboard, Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\u2022 Epidemiological studies (using only program data)\u2022 Grant proposals\u2022 Grant reporting\u2022 Internal dashboards\u2022 Needs assessment\u2022 Observed vs. expected analyses\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring\u2022 Scientific publication\u2022 Time trends <\/td>\n \n Annual Reports <\/td>\n <\/tr>\n
\n Iowa <\/td>\n \n Division of Community Access\nMaternal and Reproductive HealthIowa Health & Human Services <\/td>\n \n 2015 <\/td>\n \n Tier2 <\/td>\n \n Hospital Discharge Data <\/td>\n \n SAS <\/td>\n \n Routine statistical monitoring <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n Illinois <\/td>\n \n Division of Epidemiologic Studies\nIllinois Department of Public Health <\/td>\n \n 1989 (passive)\n2019 (active) <\/td>\n \n Tier 1 & 2 <\/td>\n \n Birth Defects Registries,Hospital Discharge Data, Laboratory Reporting**, Provider Reporting* <\/td>\n \n SAS <\/td>\n \n Grant proposals\n\u2022 Grant reporting\u2022 Needs assessment\u2022 Rates by demographic and other variables\u2022 Referral of family to services\/Linkage to care\u2022 Routine statistical monitoring\u2022 Scientific publication\u2022 Service delivery\u2022 Time trends <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n Kansas <\/td>\n \n Kansas Birth Defects Program\nBureau of Family HealthKansas Department of Health and Environment <\/td>\n \n 2016 (Tier 2)\n2022 (Tier 1) <\/td>\n \n Tier 1 & 2 <\/td>\n \n Birth Defects Registries,\nHospital Discharge Data,Provider Reporting* <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\u2022 Grant proposals\u2022 Monitoring outbreaks and cluster investigations\u2022 Prevention projects <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n Massachusetts <\/td>\n \n Division for Surveillance, Research, and Promotion of Perinatal Health\nBureau of Family Health and NutritionMassachusetts Department of Public Health <\/td>\n \n 2020 <\/td>\n \n Tier 1 <\/td>\n \n Other, Provider Reporting* <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Epidemiological studies (using only program data)\u2022 External dashboards\u2022 Grant proposals\u2022 Grant reporting\u2022 Rates by demographic and other variables\u2022 Scientific publication <\/td>\n \n NAS Dashboard <\/td>\n <\/tr>\n
\n Michigan <\/td>\n \n Maternal and Child Health Epidemiology Section\nLifecourse Epidemiology and Genomics SectionMichigan Department of Health and Human Services <\/td>\n \n 2010 <\/td>\n \n Tier 2 <\/td>\n \n Hospital Discharge, Data <\/td>\n \n SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\u2022 Needs assessment\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring\u2022 Time trends <\/td>\n \n Maternal and Infant Health Statistics\nAnnual NAS Report <\/td>\n <\/tr>\n
\n Missouri <\/td>\n \n Health Statistics Unit\nMissouri Department of Health & Senior Services <\/td>\n \n 2015 <\/td>\n \n Tier 2 <\/td>\n \n Hospital Discharge, Data <\/td>\n \n SAS <\/td>\n \n Education\/public awareness\n\u2022 External dashboards\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring\u2022 Time trends <\/td>\n \n Drug Overdose Dashboard panel <\/td>\n <\/tr>\n
\n North Carolina <\/td>\n \n Title V Office\nDivision of Public HealthNorth Carolina Department of Health and Human Services <\/td>\n \n 2016 <\/td>\n \n Tier 2 <\/td>\n \n Hospital Discharge, Data <\/td>\n \n SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Grant proposals\u2022 Grant reporting\u2022 Public health program evaluation\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n New Mexico <\/td>\n \n Substance Use Epidemiology Section\nInjury and Behavioral EpidemiologyEpidemiology and Response DivisionNew Mexico Department of Health <\/td>\n \n 2014 <\/td>\n \n Tier 2 <\/td>\n \n Hospital Discharge, Data <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\u2022 Epidemiological studies (using only program data)\u2022 Other\u2022 Routine statistical monitoring <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n Oregon <\/td>\n \n Maternal and Child Health Section\nPublic Health DivisionOregon Health Authority <\/td>\n \n 2022 <\/td>\n \n Tier 2 <\/td>\n \n Hospital Discharge Data, Medicaid Claims Data, Other <\/td>\n \n SPSS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Other\u2022 Prevention projects\u2022 Rates by demographic and other variables\u2022 Routine statistical monitoring\u2022 Time trends <\/td>\n \n Poster <\/td>\n <\/tr>\n
\n Pennsylvania <\/td>\n \n Division of Newborn Screening and Genetics\nBureau of Family Health\nPennsylvania Department of Health <\/td>\n \n 2018 <\/td>\n \n Tier1 <\/td>\n \n Provider Reporting* <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\n\u2022 Grant reporting\n\u2022 Identification of potential cases for other epidemiologic studies\n\u2022 Internal dashboards\n\u2022 Needs assessment\n\u2022 Prevention projects\n\u2022 Public health program evaluation\n\u2022 Rates by demographic and other variables\n\u2022 Routine statistical monitoring\n\u2022 Scientific publication\n\u2022 Time trends <\/td>\n \n Annual Report <\/td>\n <\/tr>\n
\n Rhode Island <\/td>\n \n Birth Defects Program\nCenter for Health Data and Analysis and Public Health Informatics\nState of Rhode Island Department of Health <\/td>\n \n 2020 <\/td>\n \n Tier2 <\/td>\n \n Birth Defects Registries, Hospital Discharge Data <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Epidemiological studies (using only program data)\n\u2022 External dashboards\n\u2022 Grant reporting\n\u2022 Rates by demographic and other variables\n\u2022 Routine statistical monitoring\n\u2022 Scientific publication\n\u2022 Time trends <\/td>\n \n Website <\/td>\n <\/tr>\n
\n Tennessee <\/td>\n \n Division of Family Health and Wellness\nTennessee Department of Health <\/td>\n \n 2013 <\/td>\n \n Tier1 and 2 <\/td>\n \n Birth Defects Registries, Hospital Discharge Data, Other, Provider Reporting* <\/td>\n \n Excel, SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\n\u2022 Grant proposals\n\u2022 Grant reporting\n\u2022 Monitoring outbreaks and cluster investigations\n\u2022 Needs assessment\n\u2022 Prevention projects\n\u2022 Public health program evaluation\n\u2022 Rates by demographic and other variables\n\u2022 Referral of family to services\/Linkage to care\n\u2022 Routine statistical monitoring\n\u2022 Scientific publication\n\u2022 Service delivery\n\u2022 Time trends <\/td>\n \n Annual Report <\/td>\n <\/tr>\n
\n Virginia <\/td>\n \n Division of Population Health Data\nVirginia Department of Health <\/td>\n \n 2018 <\/td>\n \n Tier2 <\/td>\n \n Hospital Discharge Data, Provider Reporting* <\/td>\n \n REDCap, SAS <\/td>\n \n External dashboards\n\u2022 Grant proposals\n\u2022 Public health program evaluation\n\u2022 Routine statistical monitoring\n\u2022 Time trends <\/td>\n \n Dashboard <\/td>\n <\/tr>\n
\n Washington <\/td>\n \n Office of Family and Community health Improvement \nWashington State Department of Health <\/td>\n \n Unkown <\/td>\n \n Tier2 <\/td>\n \n Hospital Discharge Data <\/td>\n \n STATA <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\n\u2022 Grant proposals\n\u2022 Needs assessment\n\u2022 Other\n\u2022 Routine statistical monitoring\n\u2022 Time trends <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n West Virginia <\/td>\n \n Office of Maternal\nChild and Family Health\nWV Bureau for Public Health\nWest Virginia Department of Health <\/td>\n \n 2016 <\/td>\n \n Tier1 and 2 <\/td>\n \n Hospital Discharge Data, Other <\/td>\n \n Excel, SAS <\/td>\n \n Needs assessment\n\u2022 Other\n\u2022 Referral of family to services\/Linkage to Care <\/td>\n \n N\/A <\/td>\n <\/tr>\n
\n Wyoming <\/td>\n \n MCH Epidemiology Program\nChronic Disease MCH Epidemiology Unit\nPublic Health Sciences Section\nPublic Health Division\nWyoming Department of Health <\/td>\n \n 2016 <\/td>\n \n Tier2 <\/td>\n \n Hospital Discharge Data <\/td>\n \n Excel <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\n\u2022 Grant reporting\n\u2022 Needs assessment\n\u2022 Routine statistical monitoring\n\u2022 Time trends <\/td>\n \n Factsheet, Technical Document <\/td>\n <\/tr>\n
\n City of Philadelphia <\/td>\n \n Division of Substance Use Prevention and Harm Reduction\nCity of Philadelphia Department of Public Health <\/td>\n \n 2019 <\/td>\n \n Tier1 <\/td>\n \n Provider Reporting* <\/td>\n \n SAS <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Education\/public awareness\n\u2022 Epidemiological studies (using only program data)\n\u2022 Grant proposals\n\u2022 Grant reporting\n\u2022 Internal dashboards\n\u2022 Prevention projects\n\u2022 Rates by demographic and other variables\n\u2022 Referral of family to services\/Linkage to care\n\u2022 Routine statistical monitoring <\/td>\n \n Annual Report <\/td>\n <\/tr>\n
\n Sonoma County, CA <\/td>\n \n Health Data and Epidemiology Unit\nPublic Health Division\nSonoma County Department of Health Services <\/td>\n \n 2016 <\/td>\n \n Tier1 <\/td>\n \n Hospital Discharge Data <\/td>\n \n R <\/td>\n \n Assessing jurisdictional, baseline rates of NAS\n\u2022 Rates by demographic and other variables\n\u2022 Routine statistical monitoring <\/td>\n \n N\/A <\/td>\n <\/tr>\n <\/table>\n<\/div>