Trends in Hospital Utilization for Opioid Overuse and Drug-Dependent ...

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Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births
Trends in Hospital Utilization for Opioid Overuse and Drug-Dependent Newborns in Missouri Implications for Prescription Drug Monitoring Interventions

Hospital Utilization for Opioid Overuse in Missouri 2006-2015

Analgesic Opioid Addiction  Analgesic (prescription) opioids include commonly-prescribed painkillers     



Oxycodone, hydrocodone, codeine, morphine, Vicodin, Percocet, etc. Highly addictive, narcotic, stimulate pleasure centers in brain Chemical composition of analgesic opioids very similar to heroin Growing evidence links analgesic opioid dependence to eventual heroin use 2.1 million people in the U.S. misuse opiates and half a million are addicted to heroin Hospitalization for opioid overuse rising dramatically across the U.S. – Fastest growth in the Midwest – Among females and the elderly Reidhead, M. (2015, October). Alarming Trends in Hospital Utilization for Opioid Overuse in Missouri. HIDI HealthStats.

Rate of Hospital Utilization for Analgesic Opioid Overuse in Missouri and Percent Change from 2006 RATE OF HOSPITAL INPATIENT AND EMERGENCY DEPARTMENT VISITS FOR ANALGESIC OPIOID OVERUSE AND CUMULATIVE PERCENT CHANGE IN MISSOURI, 2006-2015 600.0

160%

138%

486.9

500.0

400.0

120% 100%

300.0

80% 60%

204.3

200.0

140%

40%

100.0

20%

0.0

0% 2006

2007

2008

2009

2010

Rate Per 100,000 Source: Hospital Industry Data Institute.

2011

2012

Cumulative Percent Change

2013

2014

2015

Hospital Utilization for Analgesic Opioid Overuse by Payer R ATE OF HOSP ITAL INP ATIE NT AND E ME R G E NC Y D E P AR TME NT VISITS FOR A NALG E SIC OP IOID OVE R USE IN MISSOUR I, C UMULATIVE P E R C E NT C HANG E B Y P AYE R , 2 0 0 6 -2 0 1 5 Medicaid Managed Care

Medicaid Fee for Service

Uninsured

Medicare

Other

350% 302%

300% 250% 200%

192% 183%

150% 122% 100% 81% 50% 0% 2006

2007

Source: Hospital Industry Data Institute.

2008

2009

2010

2011

2012

2013

2014

2015

Rate of Hospital Inpatient and Emergency Department Visits for Analgesic Opioid Overuse in Missouri by Senate District, FY2015

Source: Hospital Industry Data Institute.

Missouri Infants Born with Drug Withdrawal: Neonatal Abstinence Syndrome 2006 - 2016

Neonatal Abstinence Syndrome (NAS)  Postnatal drug withdrawal syndrome most prevalent in opioid-exposed infants shortly after birth 

Manifests in central nervous irritability, GI tract dysfunction and overactive autonomic response



Limited evidence on long-term effects



National rates of NAS increased by 300% between 1999 and 2013 –

1.5 per 1,000 births in 1999



6.0 per 1,000 births in 2013

Ko JY, Patrick SW, et al. (2016, August). Incidence of Neonatal Abstinence Syndrome—28 States, 1999-2013. MMWR 16(31)

 Missouri NAS cases identified with ICD-9 and ICD-10 CM diagnosis codes: 

FY 2006-2015: ICD-9 CM code 7795 (newborn drug withdrawal syndrome)



FY 2016: ICD-10 CM code P961 (neonatal withdrawal symptoms from maternal use of drugs)



Source: Hospital Industry Data Institute, 2006-2016 Hospital Inpatient Discharge Databases

Number of Infants Born with NAS and Percent Increase from 2006 MISSOURI INFANTS BORN WITH NAS AND CUMULATIVE PERCENT CHANGE, 2006-2016 700

+495 Cases 538% Increase

600

600%

500%

500 400% 400 300% 300 200%

200 100%

100

0

0% 2006

2007

2008

2009

2010 NAS Births

2011

2012

2013

2014

2015

2016*

Cumulative Percent Change

Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births in 2006-2015 identified with ICD-9 CM code 7795.

Total Number of Births and NAS Births by Payer TOTAL MISSOUR I B IR THS B Y P AYE R , 2 0 0 6 -2 0 1 6 Medicaid

Self-Pay

MISSOU R I INFANTS B OR N W ITH NAS B Y P AYE R , 2 0 0 6 -2 0 1 6

Other

Medicaid

45000

500

40000

450

35000

400

Other

614% Increase for Medicaid

350

30000

300

25000

250

20000

200

15000

150

10000

100

5000

50

0

0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*

  

Self-Pay

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*

Moderate decrease in total births in Missouri between 2006 and 2016 Moderate increase in NAS for non-Medicaid births Dramatic increase in NAS for Medicaid births; 424 additional cases accounting for 86% of the total statewide increase between 2006 and 2016

Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births in 2006-2015 identified with ICD-9 CM code 7795.

Rate of NAS Births per 1,000 by Payer Statewide, the NAS rate was 1.2 per 1,000 births in 2006 & 7.9 in 2016.

MISSOUR I INFANTS B OR N W ITH NAS: R ATE P E R 1 ,0 0 0 B IR THS B Y P AYE R , 2 0 0 6 -2 0 1 6 Medicaid

The NAS rate for Medicaid newborns was more than double the statewide rate in 2016.

Self-Pay

Other

18.0

15.2

16.0 14.0 12.0

Average charges for a Medicaid NAS birth are $63,000 vs. $14,500 for other births. This implies $23,800,000 in additional hospital charges for 493 Medicaid NAS births in FY2016, at a cost to Medicaid of nearly $10 million.

10.0

10.0 8.0

7.1

6.0 4.0 2.0 0.0 2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births in 2006-2015 identified with ICD-9 CM code 7795.

2016*

Missouri Infants Born with NAS: Rate per 1,000 Births by County, 2012-2016 

NAS rates calculated at the county-level for all births occurring during the most recent five-year period to increase reliability.



Rates highest in rural, south-central Missouri and St. Louis city.



The five-year statewide rate was 6.16 NAS births per 1,000.



At 26.37 NAS births per 1,000 Iron County more than quadrupled the statewide rate during the same period.

Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births in 2006-2015 identified with ICD-9 CM code 7795.

Missouri Infants Born with NAS: Rate per 1,000 Births and Percent Change by Senate District, 2012-2016

 

Senate Districts 4, 5 and 16 had the highest NAS rates between 2012 and 2016. Senate Districts 7, 8, 27, 30, 32 and 33 had the highest rates of growth in NAS with each experiencing an increase over 170%

Source: Hospital Industry Data Institute. *NAS births in 2016 identified with ICD-10 CM codes P961 and P962. NAS births in 2006-2015 identified with ICD-9 CM code 7795.