Variation in out of pocket health care costs for individuals with anxiety disorders by type of insurance coverage

Curative care expenditure of outpatient anxiety disorder in Liaoning Province, 2015-2020-based on "System of Health Accounts 2011"

Introduction

Anxiety disorders are the most common mental disorder, experienced by more than a quarter of the population. This study examines total outpatient curative care expenditures (CCE) for anxiety disorders and changes in their composition based on the System of Health Accounts 2011 (SHA 2011).

Methods

This study used multi-stage stratified random from a total of 9,318,513 outpatient sample data by 920 healthcare organizations, a total of 109,703 cases of anxiety disorders from 53 sample organizations (5.76%) from 2015 to 2020. Univariate analysis, multifactor analysis and structural equation modeling (SEM) were used to explore the influential factors affecting outpatient CCE for anxiety disorders.

Results

Anxiety disorder outpatient CCE from 2015 to 2020 continued to increase from CNY 99.39million in 2015 to CNY 233.84 million in 2020, mainly concentrated in western medicine costs, 15-64 years, general hospital, generalized anxiety disorder and public financing. The results of univariate analysis showed statistically significant differences in all subgroups, and the results of multivariate analysis and SEM showed that the choice to purchase western drugs, purchase prepared Chinese drugs, choice to have a checkup, urban employees' basic medical insurance, and 0-14 years old were associated with high anxiety disorder outpatient CCE.

Conclusion

Initiatives to improve the essential drug system, reduce the out-of-pocket (OOP) ratio, and strengthen primary health care to effectively reduce the medical burden on patients.

Rural US residents recognize anxiety better than urbanites and suburbanites but hold similar stigma

PURPOSE

Recognizing signs of psychological distress is a critical first step in assisting people who are struggling with poor mental health to access help. However, community-level factors that impact recognition and stigma are underexplored. The purpose of this study is to investigate the relationship between rurality, other community-level variables, and individual variables with regard to the recognition and stigma of anxiety.

METHODS

We use a survey of US adults (N = 627), including a rural oversample, and a cloaked vignette approach. We assess the ability to identify anxiety and measure associated stigma. The analysis applies an ecological model in multinomial logistic regressions.

FINDINGS

About half of the respondents recognize anxiety from a list of possibilities when provided with a vignette detailing common anxiety symptoms. Respondents living in rural areas are nearly twice as likely to correctly identify anxiety than nonrural respondents. About one-fifth of respondents agree with a statement designed to measure stigma: that exhibiting the symptoms is a sign of personal weakness. Respondents able to identify anxiety show less stigma. Respondents from counties with high mental health provider access were less likely to endorse the stigma statement.

CONCLUSIONS

Rural areas seem poised to reduce the stigma associated with anxiety, because residents are more adept at identifying anxiety than people living elsewhere. Future work could focus on effective mechanisms for reducing stigma associated with anxiety in rural areas, and whether anxiety recognition and stigma are changing.

Disease and debt: Findings from the 2019 Panel Study of Income Dynamics in the United States

Medical debt has grown dramatically over the past few decades. While cancer and diabetes are known to be associated with medical debt, little is known about the impact of other medical conditions and health behaviors on medical debt. We analyzed cross-sectional data on 9174 households - spanning lower-income, middle-income, and higher-income based on the Census poverty threshold - participating in the 2019 wave of the nationally representative United States Panel Study of Income Dynamics (PSID). The outcomes were presence of any medical debt and presence of medical debt≥ $2000. Respondents reported on medical conditions (diabetes, cancer, heart disease, chronic lung disease, asthma, arthritis, anxiety disorders, mood disorders) and on health behaviors (smoking, heavy drinking). Medical debt was observed in lower-income households with heart disease (OR = 2.64, p-value = 0.006) and anxiety disorders (OR = 2.16, p-value = 0.02); middle-income households with chronic lung disease (OR = 1.73, p-value = 0.03) and mood disorders (OR = 1.53, p-value = 0.04); and higher-income households with a current smoker (OR = 2.99, p-value<0.001). Additionally, medical debt ≥$2000 was observed in lower-income households with asthma (OR = 2.16, p-value = 0.009) and a current smoker (OR = 1.62, p-value = 0.04); middle income households with hypertension (OR = 1.65, p-value = 0.05). These novel findings suggest that the harms of medical debt extend beyond cancer, diabetes and beyond lower-income households. There is an urgent need for policy and health services interventions to address medical debt in a wider range of disease contexts than heretofore envisioned. Intervention development would benefit from novel conceptual frameworks on the causal relationships between health behaviors, health conditions, and medical debt that center social-ecological influences on all three of these domains.

Association of functional disability with mental health services use and perceived unmet needs for mental health care among adults with serious mental illness

BACKGROUND

Approximately 13.1 million U.S. adults experienced serious mental illness (SMI) in 2019. Persons with disability (PWD) have higher risks of SMI. Ensuring adequate access to mental health (MH) services for PWD is imperative to ameliorate this burden.

METHODS

Using the 2015-2019 National Survey on Drug Use and Health, we obtained study variables for U.S. adults with SMI in the past year and used multivariable logistic regression models to examine the association of disability with MH services and perceived unmet needs.

RESULTS

The sample comprised 12,532 respondents, representing 11,143,650 U.S. adults with SMI. Overall, PWD had higher proportions of using prescription medications (64.7% vs. 46.2%), outpatient treatment (48.4% vs. 36.5%) and inpatient treatment (8.6% vs. 4.7%) compared to persons without disability; however, the prevalence of perceived unmet MH service needs was also higher (46.3% vs. 39.4%) among PWD. Multivariable logistic regression models showed presence of any disability, cognitive and ≥2 limitations were significantly associated with MH services use (all p<0.01). However, PWD were significantly more likely to report perceived unmet MH service needs (p<0.01 for any disability as well as cognitive, complex activity, and ≥2 limitations).

LIMITATIONS

Due to data limitations, disability status and SMI may be misclassified for some respondents, and the results may not be generalized to all individuals with SMI.

CONCLUSION

While PWD were more likely to use MH services, they also had higher odds of unmet MH needs. These results call for more effective and tailored mental health services for PWD.