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1.
Socius ; 9: 23780231221149902, 2023.
Article in English | MEDLINE | ID: mdl-36777497

ABSTRACT

The authors examine how two state-level coronavirus disease 2019 (COVID-19) policy indices (one capturing economic support and one capturing stringency measures such as stay-at-home orders) were associated with county-level COVID-19 mortality from April through December 2020 and whether the policies were more beneficial for certain counties. Using multilevel negative binominal regression models, the authors found that high scores on both policy indices were associated with lower county-level COVID-19 mortality. However, the policies appeared to be most beneficial for counties with fewer physicians and larger shares of older adults, low-educated residents, and Trump voters. They appeared to be less effective in counties with larger shares of non-Hispanic Black and Hispanic residents. These findings underscore the importance of examining how state and local factors jointly shape COVID-19 mortality and indicate that the unequal benefits of pandemic policies may have contributed to county-level disparities in COVID-19 mortality.

2.
BMJ Open ; 11(1): e045360, 2021 01 31.
Article in English | MEDLINE | ID: mdl-33518529

ABSTRACT

OBJECTIVE: To investigate whether uncertainty surrounding the death is associated with the inaccurate reporting of intellectual disability as the underlying cause of death. DESIGN: National Vital Statistics System 2005-2017 US Multiple Cause-of-Death Mortality files. SETTING: USA. PARTICIPANTS: Adults with an intellectual disability reported on their death certificate, aged 18 and over at the time of death. The study population included 26 555 adults who died in their state of residence between 1 January 2005 and 31 December 2017. PRIMARY OUTCOME AND MEASURES: Decedents with intellectual disability reported on their death certificate were identified using the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code for intellectual disability (F70-79). Bivariate analysis and multilevel logistic regression models were used to investigate whether individual-level and state-level characteristics indicative of increased uncertainty at the time of death were associated with the inaccurate reporting of intellectual disability as the underlying cause of death. RESULTS: Inaccurate reporting of intellectual disability as the underlying cause of death was associated with sociodemographic characteristics, death context characteristics and comorbidities indicative of an increased amount of uncertainty surrounding the death. Most striking were increased odds of having intellectual disability reported as the underlying cause of death for decedents who had a choking event (OR=14.7; 95% CI 12.9 to 16.6, p<0.001), an external cause of death associated with a high degree of uncertainty, reported on their death certificate. CONCLUSION: It is imperative that medical personnel not let increased uncertainty lead to the inaccurate reporting of intellectual disability as the underlying cause of death as this practice obscures cause of death trends for this population. Instead, even in instances when increased uncertainty surrounds the death, certifiers should strive to accurately identify the disease or injury causing death, and report the disability in Part II of the death certificate.


Subject(s)
Cause of Death , Death Certificates , Intellectual Disability , Uncertainty , Adolescent , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Young Adult
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