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Discharges with opioid-related diagnosis codes, primary or otherwise, were included in this analysis.

These opioid-related diagnosis codes include: 304.00-304.03 (opioid type dependence), 304.70-304.73 (combinations of opioid type drug with any other drug dependence), 305.50-305.53 (nondependent opioid abuse), 965.00 965.01, and 965.09 (poisoning by heroin, opium (alkaloids), and related narcotics), E850.0 and E850.2 (accidental poisoning by other opiates and related narcotics), E935.0 and E935.2 (heroin and other opiates causing adverse effects in therapeutic use).

From 2011 to 2015, the number of opioid-related hospital (ED and inpatient) discharges in Massachusetts increased substantially.

Heroin-related discharges grew 256%, while all other opioid-related discharges grew 50% [1].

In 2014, Massachusetts had the highest rate of opioid-related emergency department (ED) visits in the U. and the second highest rate of opioid-related inpatient stays.

Later this summer, the HPC will publish a chartpack updating the data from the 2016 Opioid Use Disorder Report in order to better understand the impact of the epidemic on the health care system from 2011 to 2015.

The data presented here, and in the forthcoming chartpack, demonstrate the growing need for improvements in the health care system, including access to coordinated mental health and substance use disorder treatment.

Source: HPC analysis of the Center for Health Information and Analysis (CHIA), Hospital Inpatient Discharge and Emergency Department Databases, 20Since many opioid-related overdose deaths occur at younger ages, the impact on life expectancy is particularly pronounced.

In 2015, life expectancy in the US dropped for the first time in decades.

The analysis underlying these briefs is conducted by staff on the HPC's Research and Cost Trends team.

As you read through HPC Data Points, we encourage you to engage with the interactive graphics by hovering your mouse over different data points to obtain additional information.

As with all analyses dependent on ICD-9 codes, provider coding may not always accurately reflect the patient’s clinical condition.

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