Yenan Zhu (United States of America)

The University of Texas Health Science Center at Houston Department of Management, Policy, and Community Health

Author Of 1 Presentation

MENTAL HEALTH STATUS AND ITS ASSOCIATION WITH HEALTHCARE EXPENDITURE AMONG US STROKE PATIENTS: 2011-2018

Session Type
Oral Presentations
Date
27.10.2021, Wednesday
Session Time
07:00 - 07:10
Room
ORAL PRESENTATIONS 3
Lecture Time
07:00 - 07:10

Abstract

Background and Aims

Poor mental health is commonly reported among stroke patients. The purpose of this study was 1) to determine mental health status and identify predictors of poor mental health, and 2) to examine differences in healthcare expenditures by mental health status among stroke patients.

Methods

We conducted a retrospective cross-sectional analysis using the 2011-2018 Medical Expenditure Panel Survey, a nationally representative survey of non-institutionalized US adults. Diagnosis of stroke and perceived mental health status were self-reported. Healthcare expenditures were direct medical costs calculated as the sum of payments to providers. Individual sociodemographic characteristics and comorbidities were included as covariates. Descriptive statistics were used to describe mental health status of stroke patients. A survey design-adjusted logistic regression was used to identify predictors of poor mental health. Healthcare expenditures were compared using the Mann-Whitney U test.

Results

A total of 7,215 stroke patients (equating to 70,226,052 stroke patients nationwide) were identified, of which 533 (7.0%) reported poor mental health. Poverty was a strong predictor of poor mental health (p=0.013). The median annual health expenditure for stroke patients was $7,822 (2018 USD). Patients who reported poor mental health spent $12,884 annually, significantly higher than their counterparts did ($7,599, p<0.0001).

Conclusions

Our findings suggest that poverty is a strong predictor of mental health status among US stroke survivors. Stroke patients with poor mental health have higher healthcare expenditures; therefore, interventions for promoting mental health are needed for this population.

Hide

Presenter of 1 Presentation

MENTAL HEALTH STATUS AND ITS ASSOCIATION WITH HEALTHCARE EXPENDITURE AMONG US STROKE PATIENTS: 2011-2018

Session Type
Oral Presentations
Date
27.10.2021, Wednesday
Session Time
07:00 - 07:10
Room
ORAL PRESENTATIONS 3
Lecture Time
07:00 - 07:10

Abstract

Background and Aims

Poor mental health is commonly reported among stroke patients. The purpose of this study was 1) to determine mental health status and identify predictors of poor mental health, and 2) to examine differences in healthcare expenditures by mental health status among stroke patients.

Methods

We conducted a retrospective cross-sectional analysis using the 2011-2018 Medical Expenditure Panel Survey, a nationally representative survey of non-institutionalized US adults. Diagnosis of stroke and perceived mental health status were self-reported. Healthcare expenditures were direct medical costs calculated as the sum of payments to providers. Individual sociodemographic characteristics and comorbidities were included as covariates. Descriptive statistics were used to describe mental health status of stroke patients. A survey design-adjusted logistic regression was used to identify predictors of poor mental health. Healthcare expenditures were compared using the Mann-Whitney U test.

Results

A total of 7,215 stroke patients (equating to 70,226,052 stroke patients nationwide) were identified, of which 533 (7.0%) reported poor mental health. Poverty was a strong predictor of poor mental health (p=0.013). The median annual health expenditure for stroke patients was $7,822 (2018 USD). Patients who reported poor mental health spent $12,884 annually, significantly higher than their counterparts did ($7,599, p<0.0001).

Conclusions

Our findings suggest that poverty is a strong predictor of mental health status among US stroke survivors. Stroke patients with poor mental health have higher healthcare expenditures; therefore, interventions for promoting mental health are needed for this population.

Hide