PROJECT W.A.T.C.H: Intrauterine substance exposure & nas surveillance data update Collin John, MD MPH FAAP Associate Professor of Internal Medicine and.

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Presentation transcript:

PROJECT W.A.T.C.H: Intrauterine substance exposure & nas surveillance data update Collin John, MD MPH FAAP Associate Professor of Internal Medicine and Pediatrics Director, Project WATCH West Virginia University

Objectives To revisit the data gathered from the Centers for Disease Control and Prevention regarding Neonatal Abstinence Syndrome (NAS) in WV To discuss the data related to Intrauterine substance exposure (IUSE) and NAS gathered from Project WATCH over the last 10 months To discuss future needs that are needed in WV with regards to IUSE and NAS surveillance

The NAS crisis Reportedly... National Data for WV in 2013* Substance Use Exposure 5.9% 60 per 1,000 births NAS 3.3% 33.4 infants per 1,000 births Anecdotally, most people would agree this is an underestimate Beginning in October 2016, the WV Perinatal Partnership and Project WATCH collaborated to develop a better way to capture the rates of IUSE and NAS in West Virginia. *Ko JY, Patrick SW, Tong VT, Patel R, Lind JN, Barfield WD. Incidence of Neonatal Abstinence Syndrome - 28 States, 1999-2013. MMWR Morb Mortal Wkly Rep. 2016 Aug 12;65(31):799-802.

Questions asked on Project WATCH Intrauterine Substance Exposure (includes any medication prescribed by a physician during pregnancy). Yes/No (if No, questions below will not be available) If yes, then check all that apply Self-reported Documented in prenatal record Positive maternal drug test Unknown Other Infant with clinical signs consistent with NAS diagnosis*? Yes/No *NAS is diagnosed when a baby has intrauterine exposure to a neuroactive substance and exhibits clinical signs/symptoms of withdrawal, regardless of whether or not pharmacological treatment is required.

Surveillance Data- Oct 1 2016 -Aug 1 2017 10 months, N= 16,014 IUSE = 13.95% Recall the earlier report which said 5.9 in 2013 % NAS = 5.31% Recall the earlier report which said 3.3 in 2013% Among those babies with IUSE, 38% developed NAS This data would suggest that in only 3 years, the rate doubled

Rates of IUSE by GRASTF* Regions *Governors Regional Substance Abuse Task Force

Rates of NAS by GRASTF* Regions *Governors Regional Substance Abuse Task Force

SO WHY THE POTENTIAL DISCONNECT BETWEEN DATA REPORTED BY THE CENTERS FOR DISEASE CONTROL AND PROJECT WATCH?

Audit- January 2017 N= 789 (52% of 1,521 births in Birth Score database during January) Six hospitals completed chart review for all births during the month of January 2017 Ruby UHC Wheeling CAMC Cabell Thomas

Audit data- Overall Prevalence (N= 789) Data Source Frequency Percent Intrauterine Substance Exposure (IUSE) Hospital- IUSE 134 17.07% Birth Score- IUSE 111 14.14% ICD 10 code in chart – Intrauterine Exposure codes (newborn affected by…) 57 7.23% NAS Hospital- NAS 79 10.1% Birth Score- NAS 67 8.55% ICD 10 code in chart – NAS 43 5.46%

Audit Data- Overall Intrauterine Substance Exposure Hospital Birth Score ICD 10 code (P04.x) in chart Frequency NO 642 YES 1 3 20 6 59 48

Audit Data- Overall NAS Hospital Birth Score ICD 10 code P96.1 in chart Frequency NO 687 YES 1 18 5 10 20 36

Intrauterine Substance Exposure Hospital vs. Birth Score (N= 789) BIRTH SCORE DATA NO YES TOTAL HOSPITAL DATA 644 4 648 26 107 (81%) 133 670 111 781 Out of a total of 133 cases identified in the hospital record, 107 were identified by Birth Score Out of 648 non-cases identified by the hospital record, 4 were identified by the Birth Score Kappa statistic (measure of agreement) in this scenario is 85%. This is considered “Very Good”

NAS - Hospital vs. Birth Score (N= 789) BIRTH SCORE DATA NO YES TOTAL HOSPITAL DATA 689 11 700 23 56 (71%) 79 712 67 779 Out of a total of 79 cases identified in the hospital record, 56 were identified by the Birth Score Out of a total of 700 non-cases identified by the hospital record, 11 were identified by the Birth Score Kappa statistic (measure of agreement) between the 2 datasets is 74%. This is considered “Good”

Moving forward… Screening Survey how hospitals screen for IUSE QI- Birth Score data entry/EMR data pull New QI Coordinator to work with hospitals Education Additional training for hospital staff/coders CME, CEU, MOC opportunities Policy Development Maternal Drug Screening mandate? Research Identify questions of interest with the data APHA 2017- November

Conclusion IUSE and NAS rates in WV have been determined to be far greater based on Project WATCH data vs. CDC data Some of the disconnect may be related to diagnosis, coding issues, etc. We are just at the tip of the iceberg with regards to IUSE and NAS surveillance

New QI position for Project watch Goal- to complete our research team (teamwork makes the dream work!) Epidemiologist Biostatistician Pediatrician Program Coordinator/MPH Opportunity- To add a Quality Improvement Nurse Specialist QI Nurse will assist Project WATCH to improve the quality of data collected at WV birth facilities