P55 Demographic and social factors associated with out-of-pocket expenditures for contraceptive prescriptions in the US during medicaid expansion

Contraception ◽  
2020 ◽  
Vol 102 (4) ◽  
pp. 294-295
Author(s):  
A. Brant ◽  
P. Batur ◽  
S. Arrigain ◽  
R. Lopez ◽  
R. Farrell
2021 ◽  
Vol 12 ◽  
pp. 215013272110165
Author(s):  
Elaine Seaton Banerjee ◽  
Kyle Shaak ◽  
Nicole Burgess ◽  
Melanie Johnson ◽  
Beth Careyva

Introduction/Objectives: Diabetes and prediabetes impact nearly half of the US adult population and are associated with significant health risks but may be underdiagnosed. Effective screening may improve diagnosis and give patients opportunity to manage their disease. The purpose of this study was to determine screening rates, identify characteristics predictive of screening, and evaluate correct diagnosis of diabetes and prediabetes. Methods: Retrospective chart review of 71 433 patients eligible for diabetes screening, defined by completing A1c test within the 3-year study period. Results: A total of 31.3% of eligible patients received diabetes screening. Factors associated with screening include older age, female sex, non-white race, Hispanic ethnicity, Medicare or Medicaid insurance, higher BMI, and having a medical comorbidity. History of prediabetes or gestational diabetes were the strongest predictors for diabetes screening, but history of gestational diabetes was under-documented. Of those screened, 10.4% had a result consistent with diabetes and 51.8% had a result consistent with prediabetes. However, 52.9% of these patients had a missed diagnosis. Conclusions: Findings of this study indicate the need for uniform coverage for diabetes screening for all insurances, increased documentation of gestational diabetes to improve screening for patients with this history, and improving accurate diagnosis after screening is completed.


Author(s):  
Brystana G. Kaufman ◽  
Nirosha Mahendraratnam ◽  
Thuy-vi Nguyen ◽  
Laura Benzing ◽  
Jessica Beliveau ◽  
...  

Author(s):  
Sarah Raifman ◽  
M. Antonia Biggs ◽  
Lauren Ralph ◽  
Katherine Ehrenreich ◽  
Daniel Grossman

Abstract Introduction Twenty-four states have at least one law in place that could be used to prosecute people for self-managed abortion (SMA), or the termination of a pregnancy outside of the formal healthcare system. We investigated factors associated with public attitudes about SMA legality and legal access to abortion more generally. Methods In August 2017, we surveyed a nationally representative sample of English- and Spanish-speaking women ages 18–49 years in the United States (US) using Ipsos Public Affairs’ KnowledgePanel. Unadjusted and adjusted multinomial logistic regression estimates identify characteristics associated with believing that SMA should not be against the law, compared to should be against the law, with weighting to account for sampling into the panel. Results Overall, 76% (95% CI: 74.3%-77.1%) and 59% (95% CI: 57.3%-60.4%) of participants (n = 7,022, completion rate 50%) reported that abortion and SMA, respectively, should not be against the law; 1% and 19% were unsure. Among those living in a state with at least one law that could be used to prosecute an individual for SMA, the majority (55%, 95% CI: 52.7%-57.9%) believed SMA should not be against the law. Factors associated with believing SMA should not be against the law, compared to should be against the law, included prior abortion experience and higher levels of education and income. Conclusion Most reproductive age women in the US believe that SMA should not be criminalized. There is more uncertainty about SMA legality than about the legality of abortion more generally. Policy Implications US laws that criminalize SMA are not supported by the majority of the people living in their jurisdictions.


2022 ◽  
pp. 000313482110604
Author(s):  
Alison R. Goldenberg ◽  
Lauren M. Willcox ◽  
Daria M. Abolghasemi ◽  
Renjian Jiang ◽  
Zheng Z. Wei ◽  
...  

Background Patient and socioeconomic factors both contribute to disparities in post-mastectomy reconstruction (PMR) rates. We sought to explore PMR patterns across the US and to determine if PMR rates were associated with Medicaid expansion. Methods The NCDB was used to identify women who underwent PMR between 2004-2016. The data was stratified by race, state Medicaid expansion status, and region. A multivariate model was fit to determine the association between Medicaid expansion and receipt of PMR. Results In comparison to Caucasian women receiving PMR in Medicaid expansion states, African American (AA) women in Medicaid expansion states were less likely to receive PMR (OR .96 [.92-1.00] P < .001). Patients in the Northeast (NE) had better PMR rates vs any other region in the US, for both Caucasian and AA women (Caucasian NE ref, Caucasian-South .80 [.77-.83] vs AA NE 1.11 [1.04-1.19], AA-South (.60 [.58-.63], P < .001). Interestingly, AA patients residing in the NE had the highest receipt of PMR 1.11 (1.04-1.19), even higher than their Caucasian counterparts residing in the same region (ref). Rural AA women had the lowest rates of PMR vs rural Caucasian women (.40 [.28-.58] vs .79 [.73-.85], P < .001]. Discussion Racial disparities in PMR rates persisted despite Medicaid expansion. When stratified by region, however, AA patients in the NE had higher rates of PMR than AA women in other regions. The largest disparities were seen in AA women in the rural US. Breast cancer disparities continue to be a complex problem that was not entirely mitigated by improved insurance coverage.


1984 ◽  
Vol 9 (3) ◽  
pp. 293-303 ◽  
Author(s):  
Cynthia G. Baum ◽  
Rex Forehand

2020 ◽  
Vol 73 (suppl 5) ◽  
Author(s):  
Thatiana Araújo Maranhão ◽  
Carlos Henrique Alencar ◽  
Mônica de Avelar Figueiredo Mafra Magalhães ◽  
George Jó Bezerra Sousa ◽  
Leonardo Miranda Ribeiro ◽  
...  

ABSTRACT Objective: To analyze the spatial pattern of AIDS mortality and social factors associated with its occurrence. Methods: An ecological study that considered 955 AIDS deaths of residents in Piauí, reported in the Mortality Information System (MIS) from 2007 to 2015. Non-spatial and spatial regression models were used to identify social determinants of AIDS mortality, with a significance of 5%. Results: The predictors of AIDS mortality were illiteracy rate in males (p = 0.020), proportion of households with water supply (p = 0.015), percentage of people in households with inadequate walls (p = 0.022), percentage of people in households vulnerable to poverty and in whom no one has completed primary education (p = 0.000) and percentage of people in households vulnerable to poverty and dependent on the elderly (p = 0.009). Conclusion: Social indicators related to education, job and income generation and housing were associated with AIDS mortality.


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