Race, insurance status, and traumatic brain injury outcomes before and after enactment of the Affordable Care Act

Surgery ◽  
2018 ◽  
Vol 163 (2) ◽  
pp. 251-258 ◽  
Author(s):  
Eric W. Moffet ◽  
Tiffany J. Zens ◽  
Krista L. Haines ◽  
Megan V. Beems ◽  
Kaitlyn M. McQuistion ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Affordable Care Act ◽  
Insurance Status ◽  
Before And After ◽  
The Affordable Care Act ◽  
Injury Outcomes

scholarly journals Health Insurance Coverage before and after the Affordable Care Act in the USA

Sci ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 25
Author(s):  
Jesse Patrick ◽  
Philip Q. Yang
Keyword(s):  
Health Insurance ◽  
National Health ◽  
Affordable Care Act ◽  
The United States ◽  
Insurance Status ◽  
Health Insurance Status ◽  
Full Implementation ◽  
Before And After ◽  
The Affordable Care Act ◽  
Partial Implementation

The Affordable Care Act (ACA) is at the crossroads. It is important to evaluate the effectiveness of the ACA in order to make rational decisions about the ongoing healthcare reform, but existing research into its effect on health insurance status in the United States is insufficient and descriptive. Using data from the National Health Interview Surveys from 2009 to 2015, this study examines changes in health insurance status and its determinants before the ACA in 2009, during its partial implementation in 2010–2013, and after its full implementation in 2014 and 2015. The results of trend analysis indicate a significant increase in national health insurance rate from 82.2% in 2009 to 89.4% in 2015. Logistic regression analyses confirm the similar impact of age, gender, race, marital status, nativity, citizenship, education, and poverty on health insurance status before and after the ACA. Despite similar effects across years, controlling for other variables, youth aged 26 or below, the foreign-born, Asians, and other races had a greater probability of gaining health insurance after the ACA than before the ACA; however, the odds of obtaining health insurance for Hispanics and the impoverished rose slightly during the partial implementation of the ACA, but somewhat declined after the full implementation of the ACA starting in 2014. These findings should be taken into account by the U.S. Government in deciding the fate of the ACA.

Health Insurance Coverage Before and After the Affordable Care Act

Sci ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 30
Author(s):  
Patrick ◽  
Yang
Keyword(s):  
Health Insurance ◽  
National Health ◽  
Affordable Care Act ◽  
The United States ◽  
Insurance Status ◽  
Health Insurance Status ◽  
Full Implementation ◽  
Before And After ◽  
The Affordable Care Act ◽  
Partial Implementation

The Affordable Care Act (ACA) is at the crossroads. It is important to evaluate the effectiveness of the ACA in order to make rational decisions about the ongoing healthcare reform, but existing research into its effect on health insurance status in the United States is insufficient and descriptive. Using data from the National Health Interview Surveys from 2009 to 2015, this study examines changes in health insurance status and its determinants before the ACA in 2009, during its partial implementation in 2010–2013, and after its full implementation in 2014 and 2015. The results of trend analysis indicate a significant increase in national health insurance rate from 82.2% in 2009 to 89.4% in 2015. Logistic regression analyses confirm the similar impact of age, gender, race, marital status, nativity, citizenship, education, and poverty on health insurance status before and after the ACA. Despite similar effects across years, controlling for other variables, youth aged 26 or below, the foreign-born, Asians, and other races had a greater probability of gaining health insurance after the ACA than before the ACA; however, the odds of obtaining health insurance for Hispanics and the impoverished rose slightly during the partial implementation of the ACA but somewhat declined after the full implementation of the ACA starting in 2014. These findings should be taken into account by the U.S. government in deciding the fate of the ACA.

scholarly journals Trends in Insurance Status Among Patients Diagnosed With Cancer Before and After Implementation of the Affordable Care Act

2018 ◽  
Vol 14 (2) ◽  
pp. e92-e102 ◽  
Author(s):  
Haley A. Moss ◽  
Laura J. Havrilesky ◽  
S. Yousuf Zafar ◽  
Gita Suneja ◽  
Junzo Chino
Keyword(s):  
Breast Cancer ◽  
Affordable Care Act ◽  
Insurance Coverage ◽  
Insurance Status ◽  
Medicaid Expansion ◽  
Before And After ◽  
Medicaid Eligibility ◽  
The Affordable Care Act ◽  
Insurance Rates ◽  
The Impact

Purpose: The Affordable Care Act (ACA) aimed to increase insurance coverage through key provisions such as expansion of Medicaid eligibility and enforcement of an individual mandate. The objective of this study is to examine the impact of the ACA on insurance rates among patients newly diagnosed with colon, lung, or breast cancer. Methods: Using the SEER database, patients younger than age 65 years diagnosed with colon, lung, or breast cancer between 2008 and 2014 were identified. Insurance rates were examined before versus after passage of the ACA (2011) and before (2011 to 2013) versus after (2014) Medicaid expansion in nine expansion states and five nonexpansion states. Difference-in-differences models were used to estimate the differential impact of ACA in expansion compared with nonexpansion states. Results: A total of 414,085 patients with known insurance status were diagnosed with colon, lung, or breast cancer between 2008 and 2014. For all cancer types, there was a significant increase in patients enrolled in Medicaid after 2011 in expansion states. Between 2011 to 2013 and 2014, in patients living in states with Medicaid expansion, the uninsured rates decreased by ≥ 50% among patients with a new diagnosis of lung and colon cancer (6.5% in 2011 to 2013 to 3.1% in 2014 and 6.8% in 2011 to 2013 to 3.4% in 2014, respectively; P < .001); the uninsured rate decreased to a lesser degree for patients with breast cancer (2.7% in 2011 to 2013 to 1.6% in 2014; P < .001). This decrease in the rate of uninsured patients was absent in patients living in nonexpansion states. Conclusion: The ACA resulted in expanded insurance coverage for patients diagnosed with colon, lung, and breast cancer. However, the impact was only observed in states that increased their Medicaid eligibility.

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

2020 ◽  
Vol 132 (6) ◽  
pp. 1952-1960 ◽  
Author(s):  
Seung-Bo Lee ◽  
Hakseung Kim ◽  
Young-Tak Kim ◽  
Frederick A. Zeiler ◽  
Peter Smielewski ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Neurological Status ◽  
Cerebrovascular Reactivity ◽  
Cerebral Hypoperfusion ◽  
Clinical Parameters ◽  
Artifact Removal ◽  
Clinical Events ◽  
Arterial Blood ◽  
Before And After

OBJECTIVEMonitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with traumatic brain injury (TBI). However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work was to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.METHODSThe first 24 hours of monitoring ICP and ABP in a total of 309 patients with TBI was retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP- and ABP-related clinical events were compared before and after artifact elimination.RESULTSThe proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP- and ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion, and poor cerebrovascular reactivity) all decreased significantly after artifact removal.CONCLUSIONSThe SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP- and ABP-derived clinical parameters for prognostic determinations after TBI.

scholarly journals Psychotropic and pain medication use in individuals with traumatic brain injury—a Swedish total population cohort study of 240 000 persons

2021 ◽  
Vol 92 (5) ◽  
pp. 519-527
Author(s):  
Yasmina Molero ◽  
David James Sharp ◽  
Brian Matthew D'Onofrio ◽  
Henrik Larsson ◽  
Seena Fazel
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Total Population ◽  
Medication Use ◽  
Population Based ◽  
Pain Medication ◽  
Short Term ◽  
Pain Medications ◽  
Before And After

ObjectiveTo examine psychotropic and pain medication use in a population-based cohort of individuals with traumatic brain injury (TBI), and compare them with controls from similar backgrounds.MethodsWe assessed Swedish nationwide registers to include all individuals diagnosed with incident TBI between 2006 and 2012 in hospitals or specialist outpatient care. Full siblings never diagnosed with TBI acted as controls. We examined dispensed prescriptions for psychotropic and pain medications for the 12 months before and after the TBI.ResultsWe identified 239 425 individuals with incident TBI, and 199 658 unaffected sibling controls. In the TBI cohort, 36.6% had collected at least one prescription for a psychotropic or pain medication in the 12 months before the TBI. In the 12 months after, medication use increased to 45.0%, an absolute rate increase of 8.4% (p<0.001). The largest post-TBI increases were found for opioids (from 16.3% to 21.6%, p<0.001), and non-opioid pain medications (from 20.3% to 26.6%, p<0.001). The majority of prescriptions were short-term; 20.6% of those prescribed opioids and 37.3% of those with benzodiazepines collected prescriptions for more than 6 months. Increased odds of any psychotropic or pain medication were associated with individuals before (OR: 1.62, 95% CI: 1.59 to 1.65), and after the TBI (OR: 2.30, 95% CI: 2.26 to 2.34) as compared with sibling controls, and ORs were consistently increased for all medication classes.ConclusionHigh rates of psychotropic and pain medications after a TBI suggest that medical follow-up should be routine and review medication use.

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