Assessment of Selected Overdose Poisoning Indicators in Health Care Administrative Data in 4 States, 2012

被引:5
作者
Hume, Beth [1 ]
Gabella, Barbara [2 ]
Hathaway, Jeanne [1 ]
Proescholdbell, Scott [3 ]
Sneddon, Cristy [4 ]
Brutsch, Elizabeth [4 ]
Hedin, Riley [4 ]
Drucker, Christopher J. [4 ]
机构
[1] Off Stat & Evaluat, Dept Publ Hlth, Injury Surveillance Program, Boston, MA USA
[2] Dept Publ Hlth & Environm, Denver, CO USA
[3] Div Publ Hlth, Chron Dis & Injury Sect, Injury & Violence Prevent Branch, Raleigh, NC USA
[4] Utah Dept Hlth, Violence & Injury Prevent Program, Salt Lake City, UT USA
关键词
administrative health care data; opioid overdose; ISW7; PRESCRIPTION; VISITS;
D O I
10.1177/0033354917718061
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 100000 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.
引用
收藏
页码:488 / 495
页数:8
相关论文
共 15 条
[1]  
[Anonymous], 2013, IBM SPSS STAT VERS 2
[2]  
[Anonymous], SAS VERS 9 3 WIND
[3]   Hospitalizations for Poisoning by Prescription Opioids, Sedatives, and Tranquilizers [J].
Coben, Jeffrey H. ;
Davis, Stephen M. ;
Furbee, Paul M. ;
Sikora, Rosanna D. ;
Tillotson, Roger D. ;
Bossarte, Robert M. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2010, 38 (05) :517-524
[4]  
Colorado State Demography Office, 2013, VINT 2012 POSTC EST
[5]   Trends in U.S. Emergency Department Visits for Opioid Overdose, 1993-2010 [J].
Hasegawa, Kohei ;
Espinola, Janice A. ;
Brown, David F. M. ;
Camargo, Carlos A., Jr. .
PAIN MEDICINE, 2014, 15 (10) :1765-1770
[6]  
Injury Surveillance Workgroup 7, 2012, CONS REC NAT STAT PO
[7]  
National Center for Health Statistics, 2003, INT CLASS DIS 9 REV
[8]  
National Center for Health Statistics, 2013, VINT 2012 POSTC EST
[9]   Increases in Drug and Opioid Overdose Deaths - United States, 2000-2014 [J].
Rudd, Rose A. ;
Aleshire, Noah ;
Zibbell, Jon E. ;
Gladden, R. Matthew .
MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT, 2016, 64 (50-51) :1378-1382
[10]   Drug Overdose Surveillance Using Hospital Discharge Data [J].
Slavova, Svetla ;
Bunn, Terry L. ;
Talbert, Jeffery .
PUBLIC HEALTH REPORTS, 2014, 129 (05) :437-445