scholarly journals Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Author(s):  
Aryana Sepassi ◽  
Mark Bounthavong ◽  
Renu F. Singh ◽  
Mark Heyman ◽  
Kristin Beizai ◽  
...  

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

2022 ◽  
Author(s):  
Aryana Sepassi ◽  
Mark Bounthavong ◽  
Renu F. Singh ◽  
Mark Heyman ◽  
Kristin Beizai ◽  
...  

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.


2022 ◽  
Author(s):  
Aryana Sepassi ◽  
Mark Bounthavong ◽  
Renu F. Singh ◽  
Mark Heyman ◽  
Kristin Beizai ◽  
...  

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.


2010 ◽  
Vol 13 (1) ◽  
Author(s):  
Gary Burtless ◽  
Pavel Svaton

Cash income offers an incomplete picture of the resources available to finance household consumption. Most American families are covered by an insurance plan that pays for some or all of the health care they consume. Only a comparatively small percentage of families pays for the full cost of this insurance out of their cash incomes. As health care has claimed a growing share of consumption, the percentage of care that is financed out of household incomes has declined. Because health care consumption is more important for some groups in the population than others, the growth in spending and changes in the payment system for medical care have reduced the value of standard income measures for assessing relative incomes of the rich and poor and the young and old. More than a seventh of total personal consumption now consists of health care that is purchased with government insurance and employer contributions to employee health plans. This paper combines health care spending and insurance reimbursement data in the Medical Expenditure Panel Study and money income and health coverage data in the Current Population Survey to assess the impact of health insurance on the distribution of income. Our estimates imply that gross money income significantly understates the resources available to finance household purchases. The estimates imply that a more complete measure of resources would show less inequality than the income measures that are currently used. The addition of estimates of the value of health insurance to countable incomes reduces measured inequality in the population and the income gap between young and old. If the analysis were extended over a longer period, it would show a sizeable impact of insurance on inequality trends in the United States.


2021 ◽  
Vol 9 ◽  
Author(s):  
Jin-Sheng Shen ◽  
Qun Wang ◽  
Han-Pu Shen

This paper discusses the impact of air pollution on medical expenditure in eastern, central, and western China by applying the fixed-effect model, random-effect model, and panel threshold regression model. According to theoretical and empirical analyses, there are different relationships between the two indexes in different regions of China. For eastern and central regions, it is obvious that the more serious the air pollution is, the more medical expenses there are. However, there is a non-linear single threshold effect between air pollution and health care expenditure in the western region. When air pollution is lower than this value, there is a negative correlation between them. Conversely, the health care expenditure increases with the aggravation of air pollution, but the added value is not enough to make up for the health problems caused by air pollution. The empirical results are basically consistent with the theoretical analysis, which can provide enlightenment for the government to consider the role of air pollution in medical expenditure. Policymakers should arrange the medical budget reasonably, according to its situation, to make up for the loss caused by air pollution.


2020 ◽  
pp. jrheum.200231
Author(s):  
Martin Vu ◽  
Natalie Carvalho ◽  
Philip M. Clarke ◽  
Rachelle Buchbinder ◽  
An Tran-Duy

Objective To evaluate the impact of comorbid conditions on direct health care expenditure and work-related outcomes in patients with rheumatoid arthritis (RA). Methods This was a retrospective analysis of the Medical Expenditure Panel Survey from 2006 to 2015 in 4,967 adult RA patients in the USA. Generalised linear models were used for health care expenditure and income, logistic model for employment status, and zero-inflated negative binomial model for absenteeism. Thirteen comorbid conditions were included as potential predictors of direct cost and work-related outcomes. The models were adjusted for sociodemographic factors including sex, age, region, marital status, race/ethnicity, income, education and smoking status. Results RA patients with heart failure had the highest incremental annual health care expenditure (US$8,205; 95% CI, US$3,683-US$12,726) compared to those without the condition. Many comorbid conditions including hypertension, diabetes, depression, obstructive pulmonary disease, cancer, stroke and heart failure reduced the chance of RA patients aged between 18-64 years being employed. Absenteeism of employed RA patients was significantly affected by hypertension, depression, disorders of the eye and adnexa or stroke. On average, an RA patient with heart failure earned US$15,833 (95% CI, US$4,435- US$27,231) per year less than an RA patient without heart failure. Conclusion Comorbid conditions in RA patients were associated with higher annual health care expenditure, lower likelihood of employment, higher rates of absenteeism and lower income. Despite its low prevalence, heart failure was associated with the highest incremental health care expenditure and the lowest likelihood of being employed compared to other common comorbid conditions.


2019 ◽  
Vol 70 (3) ◽  
pp. 292-299 ◽  
Author(s):  
Osman Ahmed ◽  
Brian Funaki

Medical professional liability (MPL), also commonly referred to as medical malpractice, is a costly issue in health care today, accounting for roughly 2.4% of total health care expenditure in the United States. Almost all physicians currently in clinical practice will either be subject to a lawsuit themselves or work with someone who has. Given a lack of formal structured education about MPL in medicine for trainees, this review aims to define and discuss the relevant concepts in MPL as a reference for early career interventionalists to understand the current medicolegal environment and learn best practices to avoid litigation.


2020 ◽  
Vol 16 (7) ◽  
pp. e581-e589
Author(s):  
Amy L. Shaver ◽  
Ying Cao ◽  
Katia Noyes

PURPOSE: The number of nonelderly cancer survivors is expected to grow and so are their health care costs. Many cancer survivors worry about medical bills. This study examined the impact of the Affordable Care Act (ACA) on the rate of insurance, average annual health care expenditure, and patient care experience among cancer survivors and investigated the patient characteristics that were associated with highly rated care experiences before and after ACA implementation. METHODS: The study is a cross-sectional analysis of adult, nonelderly cancer survivors in the 2011 and 2016 Medical Expenditure Panel Survey who completed health care experience questionnaires. Percent covered by insurance both before and after the ACA was calculated, including total out-of-pocket (OOP) expenses as a percentage of overall health care expenditure per patient. Regression was performed to determine characteristics associated with patient experience ratings. RESULTS: Health insurance coverage for cancer survivors was higher in 2016 than in 2011 (98.4% v 94.4%; P = .006). OOP spending as a percentage of health care expenditure among those with expenses decreased and was most striking in those with no insurance. Privately insured individuals were 3 times as likely to rate their care experience high compared with those with no insurance (odds ratio, 3.31; P < .0001). Those with above-average ratings of self-health and with few comorbidities rated their care experiences highly. CONCLUSION: After the ACA, OOP costs have decreased for all types of insurance coverage. The association between patient experience and health status warrants additional study to better manage and coordinate the care of such patients.


2021 ◽  
pp. 003435522098079
Author(s):  
Emre Umucu ◽  
Beatrice Lee ◽  
Veronica Estala-Gutierrez ◽  
Timothy Tansey

The purpose of this exploratory study was to examine whether demographic and disability variables predict total health care expenditure of Wisconsin PROMISE. The findings are intended to assist in promoting cost-effectiveness for future similar initiates. This study data were extracted from Wisconsin PROMISE data set. This study had a total of 1,443 youth with disabilities ( Mage = 14.89). The majority of participants were male (69%). Our results indicated that some demographic and disability–related characteristics are associated with total health care expenditure in control with VR case during PROMISE, control without VR case during PROMISE, and treatment group. Overall, findings of the current study suggest demographic and disability variables do assist in predicting total health care expenditure of Wisconsin PROMISE.


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