OBJECTIVETo examine the impact of Hurricane Katrina on the health of individuals with diabetes.RESEARCH DESIGN AND METHODSThis was an observational study in 1,795 adults with an A1C measurement 6 months before and 6−16 months after Hurricane Katrina in three health care systems: private (Tulane University Hospital and Clinic [TUHC]), state (Medical Center of Louisiana at New Orleans [MCLNO]), and Veterans Affairs (VA). Glycemic control (A1C), blood pressure, and lipids before the hurricane were compared with the patients' first measurement thereafter. The CORE Diabetes Model was used to project life expectancy and health economic impact.RESULTSMean predisaster A1C levels differed between MCLNO and VA patients (mean 7.7 vs. 7.3%, P < 0.001) and increased significantly among MCLNO patients to 8.3% (P < 0.001) but not among VA and TUHC patients. Mean systolic blood pressure increased in all three systems (130–137.6 mmHg for TUHC and 130.7–143.7 for VA, P < 0.001; 132–136 for MCLNO, P = 0.008). Mean LDL cholesterol increased in the VA (97.1–104.3 mg/dl) and TUHC patients (103.4–115.5; P < 0.001). Hurricane Katrina increased modeled direct, indirect, and total health care costs and also reduced life expectancy as well as quality-adjusted life expectancy, with the economic impact being quite substantial because of the large population size affected. We estimate a lifetime cost of USD $504 million for the adult population affected, with the largest economic impact seen among MCLNO patients.CONCLUSIONSA major disaster had a significant effect on diabetes management and exacerbated existing disparities. These effects may have a lasting impact on both health and economic implications.

Purpose The use of technology to implement cost-effective health care management on a large scale may be an alternative for diabetes management but needs to be evaluated in controlled trials. This study assessed the utility and cost-effectiveness of an automated Diabetes Remote Monitoring and Management System (DRMS) in glycemic control versus usual care. Methods In this randomized, controlled study, patients with uncontrolled diabetes on insulin were randomized to use of the DRMS or usual care. Participants in both groups were followed up for 6 months and had 3 clinic visits at 0, 3, and 6 months. The DRMS used text messages or phone calls to remind patients to test their blood glucose and to report results via an automated system, with no human interaction unless a patient had severely high or low blood glucose. The DRMS made adjustments to insulin dose(s) based on validated algorithms. Participants reported medication adherence through the Morisky Medication Adherence Scale-8, and diabetes-specific quality of life through the diabetes Daily Quality of Life questionnaire. A cost-effectiveness analysis was conducted based on the estimated overall costs of DRMS and usual care. Findings A total of 98 patients were enrolled (59 [60%] female; mean age, 59 years); 87 participants (89%) completed follow-up. HbA1c was similar between the DRMS and control groups at 3 months (7.60% vs 8.10%) and at 6 months (8.10% vs 7.90%). Changes from baseline to 6 months were not statistically significant for self-reported medication adherence and diabetes-specific quality of life, with the exception of the Daily Quality of Life–Social/Vocational Concerns subscale score (P = 0.04). Implications An automated system like the DRMS may improve glycemic control to the same degree as usual clinic care and may significantly improve the social/vocational aspects of quality of life. Cost-effectiveness analysis found DRMS to be cost-effective when compared to usual care and suggests DRMS has a good scale of economy for program scale up. Further research is needed to determine how to sustain the benefits seen with the automated system over longer periods.

OBJECTIVEIdentify determinants of weight gain in people with type 2 diabetes mellitus (T2DM) allocated to intensive versus standard glycemic control in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial.RESEARCH DESIGN AND METHODSWe studied determinants of weight gain over 2 years in 8,929 participants (4,425 intensive arm and 4,504 standard arm) with T2DM in the ACCORD trial. We used general linear models to examine the association between each baseline characteristic and weight change at the 2-year visit. We fit a linear regression of change in weight and A1C and used general linear models to examine the association between each medication at baseline and weight change at the 2-year visit, stratified by glycemia allocation.RESULTSThere was significantly more weight gain in the intensive glycemia arm of the trial compared with the standard arm (3.0 ± 7.0 vs. 0.3 ± 6.3 kg). On multivariate analysis, younger age, male sex, Asian race, no smoking history, high A1C, baseline BMI of 25–35, high waist circumference, baseline insulin use, and baseline metformin use were independently associated with weight gain over 2 years. Reduction of A1C from baseline was consistently associated with weight gain only when baseline A1C was elevated. Medication usage accounted for <15% of the variability of weight change, with initiation of thiazolidinedione (TZD) use the most prominent factor. Intensive participants who never took insulin or a TZD had an average weight loss of 2.9 kg during the first 2 years of the trial. In contrast, intensive participants who had never previously used insulin or TZD but began this combination after enrolling in the ACCORD trial had a weight gain of 4.6–5.3 kg at 2 years.CONCLUSIONSWeight gain in ACCORD was greater with intensive than with standard treatment and generally associated with reduction of A1C from elevated baseline values. Initiation of TZD and/or insulin therapy was the most important medication-related factor associated with weight gain.

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