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JAMA Netw Open ; 6(4): e236438, 2023 04 03.
Article in English | MEDLINE | ID: covidwho-2282571

ABSTRACT

Importance: The COVID-19 pandemic substantially disrupted routine health care and exacerbated existing barriers to health care access. Although postpartum women frequently experience pain that interferes with activities of daily living, which is often successfully treated with prescription opioid analgesics, they are also at high risk for opioid misuse. Objective: To compare postpartum opioid prescription fills after the onset of the COVID-19 pandemic in March 2020 with fills before the pandemic. Design, Setting, and Participants: In this cross-sectional study of 460 371 privately insured postpartum women who delivered a singleton live newborn between July 1, 2018, and December 31, 2020, postpartum opioid fills before March 1, 2020, were compared with fills after March 1, 2020. Statistical analysis was performed from December 1, 2021, to September 15, 2022. Exposure: COVID-19 pandemic onset in March 2020. Main Outcomes and Measures: The main outcome was postpartum opioid fills, defined as patient fills of opioid prescriptions during the 6 months after birth. Opioid prescriptions were explored in terms of 5 measures: mean number of fills per person, mean filled morphine milligram equivalents (MMEs) per day, mean days supplied, percentage of patients filling a prescription for a schedule II opioid, and percentage of patients filling a prescription for a schedule III or higher opioid. Results: Among 460 371 postpartum women (mean [SD] age at delivery, 29.0 [10.8] years), those who gave birth to a single, live newborn after March 2020 were 2.8 percentage points more likely to fill an opioid prescription than expected based on the preexisting trend (forecasted, 35.0% [95% CI, 34.0%-35.9%]; actual, 37.8% [95% CI, 36.8%-38.7%]). The COVID-19 period was also associated with an increase in MMEs per day (forecasted mean [SD], 34.1 [2.0] [95% CI, 33.6-34.7]; actual mean [SD], 35.8 [1.8] [95% CI, 35.3-36.3]), number of opioid fills per patient (forecasted, 0.49 [95% CI, 0.48-0.51]; actual, 0.54 [95% CI, 0.51-0.55]), and percentage of patients filling a schedule II opioid prescription (forecasted, 28.7% [95% CI, 27.9%-29.6%]; actual, 31.5% [95% CI, 30.6%-32.3%]). There was no significant association with days' suppy of opioids per prescription or percentage of patients filling a prescription for a schedule III or higher opioid. Results stratified by delivery modality showed that the observed increases were larger for patients who delivered by cesarean birth than those delivering vaginally. Conclusions and Relevance: This cross-sectional study suggests that the onset of the COVID-19 pandemic was associated with significant increases in postpartum opioid fills. Increases in opioid prescriptions may be associated with increased risk of opioid misuse, opioid use disorder, and opioid-related overdose among postpartum women.


Subject(s)
COVID-19 , Opiate Overdose , Opioid-Related Disorders , Infant, Newborn , Pregnancy , Humans , Female , Child , Analgesics, Opioid/adverse effects , Pandemics , Cross-Sectional Studies , Activities of Daily Living , Drug Prescriptions , Practice Patterns, Physicians' , COVID-19/epidemiology , Opioid-Related Disorders/epidemiology , Postpartum Period
2.
Soc Sci Med ; 292: 114549, 2022 01.
Article in English | MEDLINE | ID: covidwho-1510306

ABSTRACT

INTRODUCTION: This study uses multiple measures of excess deaths to analyze racial disparities in COVID-19 mortality across Georgia. METHODS: The Georgia Department of Public Health provided monthly mortality data for 2010-2020 stratified by race/ethnicity, age, county, and recorded cause of death. We first calculate crude mortality rates by health district during the time period for all groups for March through June for our historical period to identify significant time-series outliers in 2020 distinguishable from general trend variations. We then calculate the mean and standard deviation of mortality rates by age and racial subgroup to create historic confidence intervals that contextualize rates in 2020. Lastly, we use risk ratios to identify disparities in mortality between Black and White mortality rates both in the 2010-2019 period and in 2020. RESULTS: Time-series analysis identified three health districts with significant increases in mortality in 2020, located in metro Atlanta and Southwest Georgia. Mortality rates decreased sharply in 2020 for children in both racial categories in all sections of the state, but rose in a majority of districts for both categories in adult and older populations. Risk ratios also increased significantly in 2020 for children and older populations, showing rising disparities in mortality during the pandemic even as crude mortality rates declined for children classified as Black. CONCLUSIONS: Increased mortality during the COVID-19 outbreak disproportionately affected African-Americans, possibly due, in part, to pre-existing disparities prior to the pandemic linked to social determinants of health. The pandemic deepened these disparities, perhaps due to unequal resources to effectively shelter-in-place or access medical care. Future research may identify local factors underlying geographically heterogenous differences in mortality rates to inform future policy interventions.


Subject(s)
COVID-19 , Adult , Child , Georgia/epidemiology , Health Status Disparities , Humans , Mortality , SARS-CoV-2 , Spatial Analysis , United States
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