Miriam Maney

Survival Benefit of Nephrologic Care in Patients With Diabetes Mellitus and Chronic Kidney Disease

BACKGROUND The association of nephrologic care and survival in patients with diabetes mellitus and chronic kidney disease is unknown. METHODS Using data from 1997 to 2000, we conducted a retrospective cohort study of Veterans Health Administration clinic users having diabetes mellitus and stage 3 or 4 chronic kidney disease. The baseline period was 12 months and median follow-up was 19.3 months. Degree of consistency of visits to a nephrologist, defined as the number of calendar quarters in which there was 1 visit or more (range, 0-4 quarters), and covariates were calculated from the baseline period. The outcome measure was dialysis-free death. RESULTS Of 39,031 patients, 70.0%, 22.4%, and 7.6% had early stage 3, late stage 3, and stage 4 chronic kidney disease, respectively, and 3.1%, 9.5%, and 28.2%, respectively, visited a nephrologist. Dialysis-free mortality rates were 9.6, 14.1, and 19.4, respectively, per 100 person-years. More calendar quarters with visits to a nephrologist were associated with lower mortality: adjusted hazard ratios were 0.80 (95% confidence interval, 0.67-0.97), 0.68 (95% confidence interval, 0.55-0.86), and 0.45 (95% confidence interval, 0.32-0.63), respectively, when the groups having 2, 3, and 4 visits were compared with those who had no visits. One visit only was not associated with a difference in mortality when compared with no visits (adjusted hazard ratio,1.02; 95% confidence interval, 0.89-1.16). CONCLUSIONS The consistency of outpatient nephrologic care was independently associated in a graded fashion with lower risk of deaths in patients with diabetes and moderately severe to severe chronic kidney disease. However, only a minority of patients had any visits to a nephrologist.

Assessing Potential Glycemic Overtreatment in Persons at Hypoglycemic Risk

IMPORTANCE Although serious hypoglycemia is a common adverse drug event in ambulatory care, current performance measures do not assess potential overtreatment. OBJECTIVE To identify high-risk patients who had evidence of intensive glycemic management and thus were at risk for serious hypoglycemia. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional study of patients in the Veterans Health Administration receiving insulin and/or sulfonylureas in 2009. MAIN OUTCOMES AND MEASURES Intensive control was defined as the last hemoglobin A1c (HbA1c) measured in 2009 that was less than 6.0%, less than 6.5%, or less than 7.0%. The primary outcome measure was an HbA1c less than 7.0% in patients who were aged 75 years or older who had a serum creatinine value greater than 2.0 mg/dL or had a diagnosis of cognitive impairment or dementia. We also assessed the rates in patients with other significant medical, neurologic, or mental comorbid illness. Variation in rates of possible glycemic overtreatment was evaluated among 139 Veterans Health Administration facilities grouped within 21 Veteran Integrated Service Networks. RESULTS There were 652,378 patients who received insulin and/or a sulfonylurea with an HbA1c test result. Fifty percent received sulfonylurea therapy without insulin; the remainder received insulin therapy. We identified 205,857 patients (31.5%) as the denominator for the primary outcome measure; 11.3% had a last HbA1c value less than 6.0%, 28.6% less than 6.5%, and 50.0% less than 7.0%. Variation in rates by Veterans Integrated Service Network facility ranged 8.5% to 14.3%, 24.7% to 32.7%, and 46.2% to 53.4% for HbA1c less than 6.0%, less than 6.5%, and less than 7.0%, respectively. The magnitude of variation by facility was larger, with overtreatment rates ranging from 6.1% to 23.0%, 20.4% to 45.9%, and 39.7% to 65.0% for HbA1c less than 6.0%, less than 6.5%, and less than 7.0%, respectively. The maximum rate was nearly 4-fold compared with the minimum rates for HbA1c less than 6.0%, followed by 2.25-fold for HbA1c less than 6.5% and less than 2-fold for HbA1c less than 7.0%. When comorbid conditions were included, 430,178 patients (65.9%) were identified as high risk. Rates of overtreatment were 10.1% for HbA1c less than 6.0%, 25.2% for less than 6.5%, and 44.3% for less than 7.0%. CONCLUSIONS AND RELEVANCE Patients with risk factors for serious hypoglycemia represent a large subset of individuals receiving hypoglycemic agents; approximately one-half had evidence of intensive treatment. A patient safety indicator derived from administrative data can identify high-risk patients for whom reevaluation of glycemic management may be appropriate, consistent with meaningful use criteria for electronic medical records.

Risk of Stroke, Heart Attack, and Diabetes Complications Among Veterans With Spinal Cord Injury

OBJECTIVES To compare the rates of diabetes and macrovascular conditions in veterans with spinal cord injury (SCI) and to examine variations by patient-level demographic, socioeconomic, access, and health status factors. DESIGN A retrospective analysis. Diabetes status was classified by merging with diabetes epidemiology cohort using a validated algorithm. Chi-square tests and logistic regressions used to compare rates in macro- and microvascular conditions in veterans with and without diabetes. SETTING Veteran Health Administration clinic users in fiscal year (FY) 1999 to FY 2001. PARTICIPANTS SCI patients (N=8769) with diabetes (n=1333), in FY 2000, identified through the SCI registry. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Macrovascular and microvascular conditions in the next year (February 2001). Derived from International Statistical Classification of Diseases, 9th Revision, Clinical Modification, codes in the patient treatment files. RESULTS Overall, 15% of SCI veterans were identified with diabetes but this was an underestimate due to high mortality (8%). Among SCI veterans with diabetes, 49% had at least one macrovascular condition and 54% had microvascular conditions compared with 24% and 25% of those without diabetes (P<.001). CONCLUSIONS Our study highlights the highly significant relationship between diabetes and macro- and microvascular conditions in veterans with SCI. Neurologic deficit combined with increased insulin resistance has a greater macrovascular impact on SCI veterans than on those who do not have diabetes. Increasing age and physical comorbidities compound the problem.

Opting out of an integrated healthcare system: Dual-system use is associated with poorer glycemic control in veterans with diabetes

AIMS To test for an association between quality of care and patient choice to obtain care outside an integrated healthcare delivery system. METHODS We used administrative data to define dual-system use (Veterans Health Administration (VHA) and Medicare) in 1999 for VHA users with diabetes over 65 years old. Quality of diabetes care was determined by the last hemoglobin A1c (HA1c) value in 2000. The distance to nearest VHA facility minus the distance to nearest non-federal hospital was the instrumental variable in a two-part regression model which controlled for observed and unobserved factors. RESULTS In 1999, 57.4% of subjects received care from both VHA and Medicare providers; their mean proportion of visits to Medicare providers was 0.41 (median 0.38). After controlling for observed and unobserved factors, higher proportions of Medicare visits were significantly associated with higher HA1c values; a 40% increase in the proportion of Medicare visits by those who did not use Medicare was associated with a 0.23% point increase in HA1c value. CONCLUSIONS Dual-system use was associated with higher HA1c values, suggesting that veterans who chose to receive care outside the integrated VHA may have worse intermediate clinical outcomes than those who received care exclusively within the system.

Hidden complexities in assessment of glycemic outcomes: are quality rankings aligned with treatment?

OBJECTIVE To evaluate facility rankings in achieving <7% A1C levels based on the complexity of glycemic treatment regimens using threshold and continuous measures. RESEARCH DESIGN AND METHODS We conducted a retrospective administrative data analysis of Veterans Health Administration Medical Centers in 2003–2004. Eligible patients were identified using National Committee for Quality Assurance (NCQA) measure specifications. A complex glycemic regimen (CGR) was defined as receipt of insulin or three oral agents. Facilities were ranked using five ordinal categories based up both z score distribution and statistical significance (P < 0.05). Rankings using the NCQA definition were compared with a subset receiving CGRs using both a <7% threshold and a continuous measure awarding proportional credit for values between 7.9 and <7.0%. Ranking correlation was assessed using the Spearman correlation coefficient. RESULTS A total of 203,302 patients (mean age 55.2 years) were identified from 127 facilities (range 480–5,411, mean 1,601); 26.7% (17.9–35.2%) were receiving CGRs, including 22.0% receiving insulin. Mean A1C and percent achieving A1C <7% were 7.48 and 48% overall and 8.32 and 24.8% for those receiving CGRs using the threshold measure; proportion achieved was 60.1 and 37.2%, respectively, using the continuous measure. Rank correlation between the overall and CGR subset was 0.61; 8 of 24 of the highest or lowest ranked facilities changed to nonsignificance status; an additional five sites changed rankings. CONCLUSIONS Facility rankings in achieving the NCQA <7% measure as specified differ markedly from rankings using the CGR subset. Measurement for public reporting or payment should stratify rankings by CGR. A continuous measure may better align incentives with treatment intensity.

Patient complexity in quality comparisons for glycemic control: An observational study

BackgroundPatient complexity is not incorporated into quality of care comparisons for glycemic control. We developed a method to adjust hemoglobin A1c levels for patient characteristics that reflect complexity, and examined the effect of using adjusted A1c values on quality comparisons.MethodsThis cross-sectional observational study used 1999 national VA (US Department of Veterans Affairs) pharmacy, inpatient and outpatient utilization, and laboratory data on diabetic veterans. We adjusted individual A1c levels for available domains of complexity: age, social support (marital status), comorbid illnesses, and severity of disease (insulin use). We used adjusted A1c values to generate VA medical center level performance measures, and compared medical center ranks using adjusted versus unadjusted A1c levels across several thresholds of A1c (8.0%, 8.5%, 9.0%, and 9.5%).ResultsThe adjustment model had R2 = 8.3% with stable parameter estimates on thirty random 50% resamples. Adjustment for patient complexity resulted in the greatest rank differences in the best and worst performing deciles, with similar patterns across all tested thresholds.ConclusionAdjustment for complexity resulted in large differences in identified best and worst performers at all tested thresholds. Current performance measures of glycemic control may not be reliably identifying quality problems, and tying reimbursements to such measures may compromise the care of complex patients.

A Proposal for an Out-of-Range Glycemic Population Health Safety Measure for Older Adults With Diabetes

OBJECTIVE To evaluate patient-level glycemic control and facility variation of a proposed out-of-range (OOR) measure (overtreatment [OT] [HbA1c <7% (53 mmol/mol)] or undertreatment [UT] [>9% (75 mmol/mol)]) compared with the standard measure (SM) (HbA1c <8% [64 mmol/mol]) in high-risk older adults. RESEARCH DESIGN AND METHODS Veterans Health Administration patients ≥65 years of age in 2012 who were taking antihyperglycemic agents in 2013 were identified. Patient-level rates and facility-level rates/rankings were calculated by age and comorbid illness burden. RESULTS We identified 303,097 patients who were taking antiglycemic agents other than metformin only. The study population comprised 193,689 patients with at least one significant medical, neurological, or mental health condition; 98.2% were taking a sulfonylurea and/or insulin; 55.2% were aged 65–75 years; and 44.8% were aged >75 years. The 47.4% of patients 65–75 years met the OOR measure (33.4% OT, 14% UT), and 65.7% met the SM. For patients aged >75 years, rates were 48.1% for OOR (39.2% OT; 8.9% UT) and 73.2% for SM. Facility-level rates for OOR for patients aged 65–75 years ranged from 33.7 to 60.4% (median 47.4%), with a strong inverse correlation (ρ = −0.41) between SM and OOR performance rankings. Among the best-performing 20% facilities on the SM, 14 of 28 ranked in the worst-performing 20% on the OOR measure; 12 of 27 of the worst-performing 20% facilities on the SM ranked in the best-performing 20% on the OOR measure. CONCLUSIONS Facility rankings that are based on an SM (potential benefits) and OOR measure (potential risks) differ substantially. An OOR for high-risk populations can focus quality improvement on individual patient evaluation to reduce the risk for short-term harms.

A Clinical Action Measure to Assess Glycemic Management in the 65-74 Year Old Veteran Population

To evaluate the effect of including of clinical actions within 6 months of a glycosylated hemoglobin (HbA1c) level greater than 8% upon measure adherence (pass rates) and to assess the association between patient factors and the likelihood of not passing.