Open Access Research article

Predictors of metabolic monitoring among schizophrenia patients with a new episode of second-generation antipsychotic use in the Veterans Health Administration

Lizheng Shi123*, Haya Ascher-Svanum4, Yi-Ju Chiang1, Yingnan Zhao1, Vivian Fonseca2 and Daniel Winstead2

Author Affiliations

1 School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA

2 School of Medicine, Tulane University, 1430 Tulane Avenue, New Orleans, LA 70112, USA

3 Southeast Louisiana Veterans Health Care System, 1601 Perdido Street, New Orleans, LA 70112, USA

4 US Outcomes Research, Eli Lilly and Company, Lilly Corporate Center, DC 4133, Indianapolis, Indiana 46285, USA

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BMC Psychiatry 2009, 9:80  doi:10.1186/1471-244X-9-80

Published: 18 December 2009

Additional files

Additional file 1:

Table 1: Patient selection based on the antipsychotic prescription refilling records. The patient selection process for data analysis.

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Additional file 2:

Table 2: Baseline characteristics and health services utilization for schizophrenia patients with versus without baseline monitoring. Cross-cohort comparisons of baseline characteristics and health services utilization.

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Additional file 3:

Table 3: Baseline antipsychotic use patterns for schizophrenia patients with versus without baseline antipsychotic metabolic monitoring. Cross-cohort comparisons of use patterns of baseline antipsychotic agents.

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Additional file 4:

Table 4: Baseline metabolic syndrome parameters among patients with schizophrenia receiving a new treatment episode of SGA. Cross-cohort comparisons of baseline metabolic syndrome parameters.

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Additional file 5:

Table 5: Logistic regression stepwise model to identify predictors of undergoing baseline antipsychotic metabolic monitoring. Influencing factors identified using a logistic regression on whether a patient receiving baseline antipsychotic metabolic monitoring.

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