TY - JOUR PY - 2017// TI - Assessment of selected overdose poisoning indicators in health care administrative data in 4 states, 2012 JO - Public health reports (1974) A1 - Hume, Beth A1 - Gabella, Barbara Alison A1 - Hathaway, Jeanne A1 - Proescholdbell, Scott A1 - Sneddon, Cristy A1 - Brutsch, Elizabeth A1 - Hedin, Riley A1 - Drucker, Christopher J. SP - 488 EP - 495 VL - 132 IS - 4 N2 - OBJECTIVES: In 2012, a consensus document was developed on drug overdose poisoning definitions. We took the opportunity to apply these new definitions to health care administrative data in 4 states. Our objective was to calculate and compare drug (particularly opioid) poisoning rates in these 4 states for 4 selected Injury Surveillance Workgroup 7 (ISW7) drug poisoning indicators, using 2 ISW7 surveillance definitions, Option A and Option B. We also identified factors related to the health care administrative data used by each state that might contribute to poisoning rate variations.

METHODS: We used state-level hospital and emergency department (ED) discharge data to calculate age-adjusted rates for 4 drug poisoning indicators (acute drug poisonings, acute opioid poisonings, acute opioid analgesic poisonings, and acute or chronic opioid poisonings) using just the principal diagnosis or first-listed external cause-of-injury fields (Option A) or using all diagnosis or external cause-of-injury fields (Option B). We also calculated the high-to-low poisoning rate ratios to measure rate variations.

RESULTS: The average poisoning rates per 100 000 population for the 4 ISW7 poisoning indicators ranged from 11.2 to 216.4 (ED) and from 14.2 to 212.8 (hospital). For each indicator, ED rates were usually higher than were hospital rates. High-to-low rate ratios between states were lowest for the acute drug poisoning indicator (range, 1.5-1.6). Factors potentially contributing to rate variations included administrative data structure, accessibility, and submission regulations.

CONCLUSIONS: The ISW7 Option B surveillance definition is needed to fully capture the state burden of opioid poisonings. Efforts to control for factors related to administrative data, standardize data sources on a national level, and improve data source accessibility for state health departments would improve the accuracy of drug poisoning surveillance.

Language: en

LA - en SN - 0033-3549 UR - http://dx.doi.org/10.1177/0033354917718061 ID - ref1 ER -