Characteristics of unrecognised bipolar disorder in patients treated for major depressive disorder in China: general versus psychiatric hospitals.

OBJECTIVES: Bipolar disorder is often misdiagnosed as major depressive disorder. Such misdiagnosis partly depends on the type of treatment setting. This study compared general hospital psychiatric units with psychiatric hospitals in China with respect to basic demographic and clinical characteristics of patients with unrecognised bipolar disorder who are treated for major depressive disorder. METHODS: Patients treated for major depressive disorder were consecutively examined in 13 health centres (6 general hospital psychiatric units and 7 psychiatric hospitals) in China. Their socio-demographic and clinical features were recorded using a standardised protocol and data collection procedure. The DSM-IV diagnoses were established using the Mini-International Neuropsychiatric Interview. RESULTS: Of the 1487 patients included in the study, 309 (20.8%) were diagnosed with bipolar disorder. There was no significant difference between general hospital psychiatric units and psychiatric hospitals in the ratio of all types of unrecognised bipolar disorders (χ2 = 0.008, degrees of freedom = 1, p = 0.9) and bipolar II disorders (χ2 = 3.1, degrees of freedom = 1, p = 0.08). The proportions of unrecognised bipolar I disorders (χ2 = 4.1, degrees of freedom = 1, p = 0.04) differed significantly between the 2 types of study site. Multivariate analyses showed that patients with bipolar I disorders with more seasonal depressive episodes were more likely to receive treatment in general hospital psychiatric units (odds ratio = 3.3, 95% confidence interval = 1.1-9.8). CONCLUSION: Patients with bipolar I disorders receiving treatment in general hospital psychiatric units had different clinical characteristics compared to their counterparts treated in psychiatric hospitals in China.

A framework for measuring quality and promoting accountability across silos: the case of mental disorders and co-occurring conditions.

BACKGROUND: Quality measures can be effective tools for improving delivery of care and patient outcomes. Co-occurring conditions (COCs), including general medical conditions and substance use disorders, are the rule rather than the exception in patients with serious mental health disorders and lead to substantial morbidity and mortality burden. COCs among persons with mental health disorders are often treated by separate systems ("silos") in the US healthcare system, making it difficult to establish expectations for performance, assign accountability for measure results and ultimately improve quality of care for this group. OBJECTIVES: A framework for measuring quality of care for COCs is proposed by reviewing the current state of quality for COCs and examples of quality measures based on the Donabedian model. METHODS AND FRAMEWORK: The framework will also be applied to better define which providers are accountable for quality improvement, to ultimately ensure that quality measures have an impact on improving care for COCs.

General medical and psychiatric comorbidity among HIV-infected veterans in the post-HAART era.

We examined the prevalence of HIV, general medical, and psychiatric comorbidities by age based on a recent multisite cohort of HIV infected veterans receiving care: the Veterans with HIV/AIDS 3 Site Study (VACS 3). VACS 3 includes 881 adult patients with HIV infection enrolled between June 1999 and July 2000. Providers reported their patients' CDC-defined HIV comorbidities, general medical comorbidities (based on Duke and Charlson comorbidity scales), and psychiatric comorbidity. Mean age of participants was 49 years and 54% were African-American. The most common HIV comorbidities were oral candidiasis (21%), peripheral neuropathy (16%), and herpes zoster (16%). The most common general medical comorbidities included chemical hepatitis (53%), hypertension (24%), and hyperlipidemia (17%). The mean number of HIV and general medical comorbidities experienced by patients were respectively 1.1 and 1.4 (P < .001). Older (> or = 50 years) HIV-infected patients experienced a greater number of general medical comorbidities than those < 50 years (respectively 1.7 versus 1.2, P < .001). There was no significant difference in mean HIV comorbidity number by age. Based on patient report, 46% had significant depressive symptoms (> or = 10 on 10-item CES-D) and 21% reported at-risk drinking (> or = 8 on AUDIT). Providers reported 32% of patients had anxiety, 4% mania, 4% schizophrenia, and 11% cognitive impairment/dementia. General medical and psychiatric comorbidities constituted a higher disease burden for HIV-infected veterans than HIV comorbidities. Whether these comorbidities are due to antiretroviral drug toxicity or are age or lifestyle-associated conditions, the substantial prevalence of these "non-HIV" comorbidities suggest an important role for general medical and psychiatric management of HIV-infected patients.

Protease inhibitor use among a community sample of people with HIV disease.

OBJECTIVES: Protease inhibitors have become integral to HIV disease management. This paper examines sociodemographic factors affecting patient use and perceived knowledge of protease inhibitors, and the relationship between protease inhibitor use and perceived health. METHODS: 1034 people with HIV disease from a large AIDS services organization completed a mailed self-administered survey that assessed sociodemographics, protease inhibitor use and perceived knowledge, and perceived change in health status over the previous year. Multiple logistic regression was used to determine sociodemographic factors independently associated with protease inhibitor use and perceived knowledge, and perceived overall health status. RESULTS: Two thirds (66%) of correspondents included in the sample were currently taking protease inhibitors and 52% reported being very knowledgeable about these medications. Adjusting for sociodemographic factors, those who were currently not taking protease inhibitors were more likely to be African American, non-English speaking, earning <$9600 U.S. annually, or uninsured. Among protease inhibitor users, those who reported less knowledge about the drugs were more likely to be nonwhite, earning <$9600 U.S. annually, and not college educated. Protease inhibitor use was independently associated with perceived improved overall health and having been college educated. CONCLUSIONS: Further efforts should be directed toward increasing use and knowledge of protease inhibitors among disadvantaged populations.