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Numbers Count: Mental Health Hawaii
Why important?
Almost one-third of all stays in Hawaii’s community hospitals for patients age 18 and older---33,407 of nearly 108,000 stays---involved depressive, bipolar, schizophrenia and other mental health disorders or substance use related disorders in 2007.
How do stays vary by gender?
• In Hawaii, men make up a disproportionate share of patients hospitalized for Mental Health or Substance Abuse (MHSA) disorders in 2007. Men comprise 55 percent of all adult MHSA stays in Hawaii, but account for only 37 percent of the non-MHSA stays. The top 5 MHSA diagnoses for men are:
1. Substance-related (17.1 percent)
2. Delirium/dementia (10.4 percent)
3. Mood disorders (6.0 percent)
4. Schizophrenia (5.2 percent)
5. Anxiety disorders (4.4 percent)
• Women account for 45 percent of MHSA stays in Hawaii, while comprising 63 percent of non-MHSA stays. The top 5 MHSA diagnoses for women are:
1. Delirium/dementia (12.1 percent)
2. Substance-related disorders (7.6 percent)
3. Mood disorders (7.0 percent)
4. Anxiety disorders (5.3 percent)
5. Schizophrenia (3.8 percent)
How do stays vary by age?
Younger patients (ages 18-64) are most often treated for substance-related disorder, while older patients (aged 65 and older) are most likely to be hospitalized for dementia. For MHSA patients aged 80 and older, 83 percent have a diagnosis of dementia.
Who pays?
In 2007, nearly $907 million was charged insurers for hospitalizations of patients with MHSA disorders. Two-thirds of hospitalizations were billed to the government: Medicare covered one-half of the stays, and 16 percent were billed to Medicaid/QUEST. Roughly 4 percent of the patients were uninsured. Private insurers were billed for the balance. Nearly one in every two stays of uninsured patients was related to a mental health or substance abuse disorder.
Other views
• By year
• By age
• By gender
• By payer
• Utilization: patients, charges
Data notes
ICD9 codes: Mapping to MHSA categories
Source of data
Hawaii – HHIC Online Reports, Inpatient Database