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Opioid-related Mortality in United States Death Certificate Data A Quantitative Bias Analysis With Expert Elicitation of Bias Parameters
被引:1
|作者:
Goldsmith, Elizabeth S.
[1
,2
]
Krebs, Erin E.
[1
,2
]
Ramirez, Marizen R.
[3
]
MacLehose, Richard F.
[4
]
机构:
[1] Minneapolis Vet Affairs Hlth Care Syst, Ctr Care Delivery & Outcomes Res CCDOR, Bldg 9,Mail Code 152,One Vet Dr, Minneapolis, MN 55417 USA
[2] Univ Minnesota, Med Sch, Dept Med, Minneapolis, MN USA
[3] Univ Minnesota, Sch Publ Hlth, Div Environm Hlth Sci, Minneapolis, MN USA
[4] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
关键词:
Sensitivity and specificity;
Data interpretation;
Statistical;
Misclassification;
Opioid overdose;
Opioid epidemic;
Death certificates;
Cause of death;
OVERDOSE DEATHS;
SURVEILLANCE;
COMPLETION;
ACCURACY;
BELIEFS;
TRENDS;
PRIORS;
DRUG;
D O I:
10.1097/EDE.0000000000001600
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Background: Opioid-related mortality is an important public health problem in the United States. Incidence estimates rely on death certificate data generated by health care providers and medical examiners. Opioid overdoses may be underreported when other causes of death appear plausible. We applied physician-elicited death certificate bias parameters to quantitative bias analyses assessing potential age-related differential misclassification in US opioid-related mortality estimates. Methods: We obtained cause-of-death data (US, 2017) from the National Center for Health Statistics and calculated crude opioid-related outpatient death counts by age category (25-54, 55-64, 65+). We elicited beliefs from 10 primary care physicians on sensitivity of opioid-related death classification from death certificates. We summarized elicited sensitivity estimates, calculated plausible specificity values, and applied resulting parameters in a probabilistic bias analysis. Results: Physicians estimated wide sensitivity ranges for classification of opioid-related mortality by death certificates, with lower estimated sensitivities among older age groups. Probabilistic bias analyses adjusting for physician-estimated misclassification indicated 3.1 times more (95% uncertainty interval: 1.2-23.5) opioid-related deaths than the observed death count in the 65+ age group. All age groups had substantial increases in bias-adjusted death counts. Conclusions: We developed and implemented a feasible method of eliciting physician expert opinion on bias parameters for sensitivity of a medical record-based death indicator and applied findings in quantitative bias analyses adjusting for differential misclassification. Our findings are consistent with the hypothesis that opioid-related mortality rates may be substantially underestimated, particularly among older adults, due to misclassification in cause-of-death data from death certificates.
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页码:421 / 429
页数:9
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