Abstract
BACKGROUND: Mental health is an essential aspect of health and wellbeing that the general population often overlooks. This study aims to utilize a nationwide sample [Healthcare Cost and Utilization Project (HCUP) Kid's Inpatient Database (KID)] to analyze the factors affecting inpatient mood disorder admissions in the United States. METHODS: A total of 295,472 cases ages 1-20 were identified to meet the criteria (Appendix A) for the selected mood disorders from the HCUP KID 2016 dataset. We conducted descriptive statistics of the individual diagnosis. We evaluated the relationships with variables such as age (grouped), sex, region, disposition, household income, race, rural-urban demographics, and mean charges. We also conducted association tests for the variables of interest. RESULTS: An average of six days LOS was observed for mood disorders compared to four days LOS for other pediatric inpatient admissions nationwide. The highest prevalence rate (per 100,000) of single (5050), recurrent (2284) episode MDD and bipolar disorder (2445) was observed among no charge (uninsured) populations. The native American population had the highest rate prevalence of single episode MDD (3274) and highest extreme and significant loss of function at presentation. The highest manic episode presentation rate was observed among Black (12) and Native American (9) populations. Manic episodes and bipolar disorder were higher among young adults (47 and 4554); teenagers (13-17) showed a higher presentation rate for all other mood disorders. CONCLUSION: No charge (uninsured), teenagers (13-17), females, native Americans, and south and midwest regions showed a higher rate of mood disorder presentations among the population. Understanding these variances could play a vital role in highlighting the need for new innovative care approaches. Comprehensive mental health programs in collaboration with educational and community organizations and other stakeholders could be vital to addressing mood and mental health among these populations. This approach tackles several social influencers such as stigma and support to ensure effectiveness and sustainability.conclusion.