Mental illness and intensification of diabetes medications: an observational cohort study.

BACKGROUND: Mental health condition (MHC) comorbidity is associated with lower intensity care in multiple clinical scenarios. However, little is known about the effect of MHC upon clinicians' decisions about intensifying antiglycemic medications in diabetic patients with poor glycemic control. We examined whether delay in intensification of antiglycemic medications in response to an elevated Hemoglobin A1c (HbA1c) value is longer for patients with MHC than for those without MHC, and whether any such effect varies by specific MHC type. METHODS: In this observational study of diabetic Veterans Health Administration (VA) patients on oral antiglycemics with poor glycemic control (HbA1c ≥8) (N =52,526) identified from national VA databases, we applied Cox regression analysis to examine time to intensification of antiglycemics after an elevated HbA1c value in 2003-2004, by MHC status. RESULTS: Those with MHC were no less likely to receive intensification: adjusted Hazard Ratio [95% CI] 0.99 [0.96-1.03], 1.13 [1.04-1.23], and 1.12 [1.07-1.18] at 0-14, 15-30 and 31-180 days, respectively. However, patients with substance use disorders were less likely than those without substance use disorders to receive intensification in the first two weeks following a high HbA1c, adjusted Hazard Ratio 0.89 [0.81-0.97], controlling for sex, age, medical comorbidity, other specific MHCs, and index HbA1c value. CONCLUSIONS: For most MHCs, diabetic patients with MHC in the VA health care system do not appear to receive less aggressive antiglycemic management. However, the subgroup with substance use disorders does appear to have excess likelihood of non-intensification; interventions targeting this high risk subgroup merit attention.

Medical care needs of returning veterans with PTSD: their other burden.

BACKGROUND: There has been considerable focus on the burden of mental illness (including post-traumatic stress disorder, PTSD) in returning Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) veterans, but little attention to the burden of medical illness in those with PTSD. OBJECTIVES: (1) Determine whether the burden of medical illness is higher in women and men OEF/OIF veterans with PTSD than in those with No Mental Health Conditions (MHC). (2) Identify conditions common in those with PTSD. DESIGN: Cross-sectional study using existing databases (Fiscal Year 2006-2007). SETTING: Veterans Health Administration (VHA) patients nationally. PATIENTS: All 90,558 OEF/OIF veterans using VHA outpatient care nationally, categorized into strata: PTSD, Stress-Related Disorders, Other MHCs, and No MHC. MEASUREMENTS: (1) Count of medical conditions; (2) specific medical conditions (from ICD9 codes, using Agency for Health Research and Quality's Clinical Classifications software framework). MAIN RESULTS: The median number of medical conditions for women was 7.0 versus 4.5 for those with PTSD versus No MHC (p<0.001), and for men was 5.0 versus 4.0 (p<0.001). For PTSD patients, the most frequent conditions among women were lumbosacral spine disorders, headache, and lower extremity joint disorders, and among men were lumbosacral spine disorders, lower extremity joint disorders, and hearing problems. These high frequency conditions were more common in those with PTSD than in those with No MHC. CONCLUSIONS: Burden of medical illness is greater in women and men OEF/OIF veteran VHA users with PTSD than in those with No MHC. Health delivery systems serving them should align clinical program development with their medical care needs.

Mental illness-related disparities in length of stay: algorithm choice influences results.

Methodological challenges arise when one uses various Veterans Health Administration (VHA) data sources, each created for distinct purposes, to characterize length of stay (LOS). To illustrate this issue, we examined how algorithm choice affects conclusions about mental health condition (MHC)-related differences in LOS for VHA patients with diabetes nationally (n = 784,321). We assembled a record-level database of all fiscal year (FY) 2003 inpatient care. In 10 steps, we sequentially added instances of inpatient care from various VHA sources. We processed databases in three stages, truncating stays at the beginning and end of FY03 and consolidating overlapping stays. For patients with MHCs versus those without MHCs, mean LOS was 17.7 versus 13.6 days, respectively (p < 0.001), for the crudest algorithm and 37.2 versus 21.7 days, respectively (p < 0.001), for the most refined algorithm. Researchers can improve the quality of data applied to VHA systems redesign by applying methodological considerations raised by this study to inform LOS algorithm choice.