Receipt of Diabetes Specialty Care and Management Services by Older Adults With Diabetes in the U.S., 2015-2019: An Analysis of Medicare Fee-for-Service Claims.

OBJECTIVE: We characterized the receipt of diabetes specialty care and management services among older adults with diabetes. RESEARCH DESIGN AND METHODS: Using a 20% random sample of fee-for-service Medicare beneficiaries aged ≥65 years, we analyzed cohorts of type 1 diabetes (T1D) or type 2 diabetes (T2D) with history of severe hypoglycemia (HoH), and all other T2D annually from 2015 to 2019. Outcomes were receipt of office-based endocrinology care, diabetes education, outpatient diabetes health services, excluding those provided in primary care, and any of the aforementioned services. RESULTS: In the T1D cohort, receipt of endocrinology care and any service increased from 25.9% and 29.2% in 2015 to 32.7% and 37.4% in 2019, respectively. In the T2D with HoH cohort, receipt of endocrinology care and any service was 13.9% and 16.4% in 2015, with minimal increases. Age, race/ethnicity, residential setting, and income were associated with receiving care. CONCLUSIONS: These findings suggest that many older adults may not receive specialty diabetes care and underscore health disparities.

The Growing Role of Technology in the Care of Older Adults With Diabetes.

The integration of technologies such as continuous glucose monitors, insulin pumps, and smart pens into diabetes management has the potential to support the transformation of health care services that provide a higher quality of diabetes care, lower costs and administrative burdens, and greater empowerment for people with diabetes and their caregivers. Among people with diabetes, older adults are a distinct subpopulation in terms of their clinical heterogeneity, care priorities, and technology integration. The scientific evidence and clinical experience with these technologies among older adults are growing but are still modest. In this review, we describe the current knowledge regarding the impact of technology in older adults with diabetes, identify major barriers to the use of existing and emerging technologies, describe areas of care that could be optimized by technology, and identify areas for future research to fulfill the potential promise of evidence-based technology integrated into care for this important population.

Ecological Momentary Assessment of Cognition in Clinical and Community Samples: Reliability and Validity Study.

BACKGROUND: The current methods of evaluating cognitive functioning typically rely on a single time point to assess and characterize an individual's performance. However, cognitive functioning fluctuates within individuals over time in relation to environmental, psychological, and physiological contexts. This limits the generalizability and diagnostic utility of single time point assessments, particularly among individuals who may exhibit large variations in cognition depending on physiological or psychological context (eg, those with type 1 diabetes [T1D], who may have fluctuating glucose concentrations throughout the day). OBJECTIVE: We aimed to report the reliability and validity of cognitive ecological momentary assessment (EMA) as a method for understanding between-person differences and capturing within-person variation in cognition over time in a community sample and sample of adults with T1D. METHODS: Cognitive performance was measured 3 times a day for 15 days in the sample of adults with T1D (n=198, recruited through endocrinology clinics) and for 10 days in the community sample (n=128, recruited from TestMyBrain, a web-based citizen science platform) using ultrabrief cognitive tests developed for cognitive EMA. Our cognitive EMA platform allowed for remote, automated assessment in participants' natural environments, enabling the measurement of within-person cognitive variation without the burden of repeated laboratory or clinic visits. This allowed us to evaluate reliability and validity in samples that differed in their expected degree of cognitive variability as well as the method of recruitment. RESULTS: The results demonstrate excellent between-person reliability (ranging from 0.95 to 0.99) and construct validity of cognitive EMA in both the sample of adults with T1D and community sample. Within-person reliability in both samples (ranging from 0.20 to 0.80) was comparable with that observed in previous studies in healthy older adults. As expected, the full-length baseline and EMA versions of TestMyBrain tests correlated highly with one another and loaded together on the expected cognitive domains when using exploratory factor analysis. Interruptions had higher negative impacts on accuracy-based outcomes (ß=-.34 to -.26; all P values <.001) than on reaction time-based outcomes (ß=-.07 to -.02; P<.001 to P=.40). CONCLUSIONS: We demonstrated that ultrabrief mobile assessments are both reliable and valid across 2 very different clinic versus community samples, despite the conditions in which cognitive EMAs are administered, which are often associated with more noise and variability. The psychometric characteristics described here should be leveraged appropriately depending on the goals of the cognitive assessment (eg, diagnostic vs everyday functioning) and the population being studied.

Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition.

BACKGROUND: Individuals with type 1 diabetes represent a population with important vulnerabilities to dynamic physiological, behavioral, and psychological interactions, as well as cognitive processes. Ecological momentary assessment (EMA), a methodological approach used to study intraindividual variation over time, has only recently been used to deliver cognitive assessments in daily life, and many methodological questions remain. The Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes (GluCog) study uses EMA to deliver cognitive and self-report measures while simultaneously collecting passive interstitial glucose in adults with type 1 diabetes. OBJECTIVE: We aimed to report the results of an EMA optimization pilot and how these data were used to refine the study design of the GluCog study. An optimization pilot was designed to determine whether low-frequency EMA (3 EMAs per day) over more days or high-frequency EMA (6 EMAs per day) for fewer days would result in a better EMA completion rate and capture more hypoglycemia episodes. The secondary aim was to reduce the number of cognitive EMA tasks from 6 to 3. METHODS: Baseline cognitive tasks and psychological questionnaires were completed by all the participants (N=20), followed by EMA delivery of brief cognitive and self-report measures for 15 days while wearing a blinded continuous glucose monitor. These data were coded for the presence of hypoglycemia (<70 mg/dL) within 60 minutes of each EMA. The participants were randomized into group A (n=10 for group A and B; starting with 3 EMAs per day for 10 days and then switching to 6 EMAs per day for an additional 5 days) or group B (N=10; starting with 6 EMAs per day for 5 days and then switching to 3 EMAs per day for an additional 10 days). RESULTS: A paired samples 2-tailed t test found no significant difference in the completion rate between the 2 schedules (t17=1.16; P=.26; Cohen dz=0.27), with both schedules producing >80% EMA completion. However, more hypoglycemia episodes were captured during the schedule with the 3 EMAs per day than during the schedule with 6 EMAs per day. CONCLUSIONS: The results from this EMA optimization pilot guided key design decisions regarding the EMA frequency and study duration for the main GluCog study. The present report responds to the urgent need for systematic and detailed information on EMA study designs, particularly those using cognitive assessments coupled with physiological measures. Given the complexity of EMA studies, choosing the right instruments and assessment schedules is an important aspect of study design and subsequent data interpretation.

Patient Demographics and Clinical Outcomes Among Type 1 Diabetes Patients Using Continuous Glucose Monitors: Data From T1D Exchange Real-World Observational Study.

BACKGROUND: The benefits of Continuous Glucose Monitoring (CGM) on glycemic management have been demonstrated in numerous studies; however, widespread uptake remians limited. The aim of this study was to provide real-world evidence of patient attributes and clinical outcomes associated with CGM use across clinics in the U.S. based T1D Exchange Quality Improvement (T1DX-QI) Collaborative. METHOD: We examined electronic Health Record data from eight endocrinology clinics participating in the T1DX-QI Collaborative during the years 2017-2019. RESULTS: Among 11,469 type 1 diabetes patients, 48% were CGM users. CGM use varied by race/ethnicity with Non-Hispanic Whites having higher rates of CGM use (50%) compared to Non-Hispanic Blacks (18%) or Hispanics (38%). Patients with private insurance were more likely to use CGM (57.2%) than those with public insurance (33.3%) including Medicaid or Medicare. CGM users had lower median HbA1c (7.7%) compared to nonusers (8.4%). Rates of diabetic ketoacidosis (DKA) and severe hypoglycemia were significantly higher in nonusers compared to CGM users. CONCLUSION: In this real-world study of patients in the T1DX-QI Collaborative, CGM users had better glycemic control and lower rates of DKA and severe hypoglycemia (SH) events, compared to nonusers; however, there were significant sociodemographic disparities in CGM use. Quality improvement and advocacy measures to promote widespread and equitable CGM uptake have the potential to improve clinical outcomes.

Cost-effectiveness of SHINE: A Telephone Translation of the Diabetes Prevention Program.

BACKGROUND: The Support, Health Information, Nutrition, and Exercise (SHINE) trial recently showed that a telephone adaptation of the Diabetes Prevention Program (DPP) lifestyle intervention was effective in reducing weight among patients with metabolic syndrome. The aim of this study is to determine whether a conference call (CC) adaptation was cost effective relative to an individual call (IC) adaptation of the DPP lifestyle intervention in the primary care setting. METHODS: We performed a stochastic cost-effectiveness analysis alongside a clinical trial comparing two telephone adaptations of the DPP lifestyle intervention. The primary outcomes were incremental cost-effectiveness ratios estimated for weight loss, body mass index (BMI), waist circumference, and quality-adjusted life years (QALYs). Costs were estimated from the perspective of society and included direct medical costs, indirect costs, and intervention costs. RESULTS: After one year, participants receiving the CC intervention accumulated fewer costs ($2,831 vs. $2,933) than the IC group, lost more weight (6.2 kg vs. 5.1 kg), had greater reduction in BMI (2.1 vs. 1.9), and had greater reduction in waist circumference (6.5 cm vs. 5.9 cm). However, participants in the CC group had fewer QALYs than those in the IC group (0.635 vs. 0.646). The incremental cost-effectiveness ratio for CC vs. IC was $9,250/QALY, with a 48% probability of being cost-effective at a willingness-to-pay of $100,000/QALY. CONCLUSIONS: CC delivery of the DPP was cost effective relative to IC delivery in the first year in terms of cost per clinical measure (weight lost, BMI, and waist circumference) but not in terms of cost per QALY, most likely because of the short time horizon.

Poor air quality in homes of Medicare recipients with diabetes.

Poor air quality has been associated with chronic illness such as diabetes. This can be of particular importance for older adults with diabetes and other chronic conditions who spend most of their time indoors. The purpose of this study was to assess home air quality and residents' awareness and concerns about air quality in rural underserved areas of upstate New York. Implications for home care clinicians are discussed.

Social impact analysis of the effects of a telemedicine intervention to improve diabetes outcomes in an ethnically diverse, medically underserved population: findings from the IDEATel Study.

OBJECTIVES: We examined the social impact of the telemedicine intervention effects in lower- and higher-socioeconomic status (SES) participants in the Informatics for Diabetes Education and Telemedicine (IDEATel) study. METHODS: We conducted a randomized controlled trial comparing telemedicine case management with usual care, with blinded outcome evaluation, in 1665 Medicare recipients with diabetes, aged 55 years or older, residing in federally designated medically underserved areas of New York State. The primary trial endpoints were hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, and systolic blood pressure levels. RESULTS: HbA1c was higher in lower-income participants at the baseline examination. However, we found no evidence that the intervention increased disparities. A significant moderator effect was seen for HbA1c (P = .004) and systolic blood pressure (P = .023), with the lowest-income group showing greater intervention effects. CONCLUSIONS: Lower-SES participants in the IDEATel study benefited at least as much as higher-SES participants from telemedicine nurse case management for diabetes. Tailoring the intensity of the intervention based on clinical need may have led to greater improvements among those not at goal for diabetes control, a group that also had lower income, thereby avoiding the potential for an innovative intervention to widen socioeconomic disparities.

Adherence to diabetes self care for white, African-American and Hispanic American telemedicine participants: 5 year results from the IDEATel project.

OBJECTIVES: Adherence to diabetes self care is poor for Hispanic American and African-American patients. This study examined the change in adherence over time and in response to a telemedicine intervention for elderly diabetes patients in these groups compared to white diabetes patients. We also examined whether adherence mediated the effect of the intervention on glycemic control (A1c). DESIGN: The Informatics for Diabetes Education and Telemedicine project randomized medically underserved Medicare patients (n=1665) to telemedicine case management (televideo educator visits, individualized goal-setting/problem solving) or usual care. Hispanic and African-American educators delivered the intervention in Spanish if needed. MAIN OUTCOME MEASURES: Annual assessment included A1c and self-reported adherence (Summary of Diabetes Self-Care Activities scale). A simple model (only time and group terms) and a model with covariates (e.g., age) were examined for baseline and 5 years of follow-up. SAS PROC Mixed was used with non-linear terms to examine mediating effects of adherence on A1c, by performing tests of the mediating path coefficients. RESULTS: Over time, self-reported adherence improved for the treatment group compared to usual care (p<0.001). There was no significant interaction with racial/ethnic group membership, i.e., all groups improved. However, minority subjects were consistently less adherent than whites. Also, greater comorbidity and diabetes symptoms predicted poorer adherence, greater duration of diabetes and more years of education predicted better adherence. Adherence was a significant mediator of A1c (p<0.001). CONCLUSIONS: A unique, tailored telemedicine intervention was effective in achieving improved adherence to diabetes self care. However, African-American and Hispanic American participants were less adherent than white participants at all time points despite an individualized and accessible intervention. The finding that adherence did mediate glycemic control suggests that unique interventions for minority groups may be needed to overcome this disparity.

Glycemic control and health disparities in older ethnically diverse underserved adults with diabetes: five-year results from the Informatics for Diabetes Education and Telemedicine (IDEATel) study.

OBJECTIVE: The Informatics for Diabetes Education and Telemedicine (IDEATel) project randomized ethnically diverse underserved older adults with diabetes to a telemedicine intervention or usual care. Intervention participants had lower A1C levels over 5 years. New analyses were performed to help better understand this difference. RESEARCH DESIGN AND METHODS: IDEATel randomized Medicare beneficiaries with diabetes (n = 1,665) to receive home video visits with a diabetes educator and upload glucose levels every 4-6 weeks or usual care (2000-2007). Annual measurements included BMI, A1C (primary outcome), and completion of questionnaires. Mixed-model analyses were performed using random effects to adjust for clustering within primary care physicians. RESULTS: At baseline, A1C levels (mean ± SD) were 7.02 ± 1.25% in non-Hispanic whites (n = 821), 7.58 ± 1.78% in non-Hispanic blacks (n = 248), and 7.79 ± 1.68% in Hispanics (n = 585). Over time, lower A1C levels were associated with more glucose uploads (P = 0.02) and female sex (P = 0.002). Blacks, Hispanics, and insulin-users had higher A1C levels than non-Hispanic whites (P < 0.0001). BMI was not associated with A1C levels. Blacks and Hispanics had significantly fewer uploads than non-Hispanic whites over time. Hispanics had the highest baseline A1C levels and showed the greatest improvement in the intervention, but, unlike non-Hispanic whites, Hispanics did not achieve A1C levels <7.0% at 5 years. CONCLUSIONS: Racial/ethnic disparities were observed in this cohort of underserved older adults with diabetes. The IDEATel telemedicine intervention was associated with improvement in glycemic control, particularly in Hispanics, who had the highest baseline A1C levels, suggesting that telemedicine has the potential to help reduce disparities in diabetes management.

Health care utilization and self-care behaviors of Medicare beneficiaries with diabetes: comparison of national and ethnically diverse underserved populations.

Caring for persons with diabetes is expensive, and this burden is increasing. Little is known about service use, behaviors, and self-care of older individuals with diabetes who live in underserved communities. Information about self-care, informal care, and service utilization in urban (largely Latino, n = 695) and rural (mostly white, n = 819) Medicare beneficiaries with diabetes living in federally designated medically underserved areas was collected using computer-aided telephone interviews as part of the baseline assessment in the Informatics and Diabetes Education and Telemedicine (IDEATel) Project. Where items were comparable, service use was compared with that of a nationally representative group of Medicare beneficiaries with diabetes, using data from the Medical Expenditure Panel Survey. Compared to nationally representative groups, the underserved groups reported worse general health but similar health care service use, with the exception of home care. However, compared to the underserved rural group, the underserved, largely minority urban group, reported worse general health (P < 0.0001); more inpatient nights (P = 0.003), emergency room visits (P < 0.001), and home health care (P < 0.001); spent more time on self-care; and had more difficulty with housework, meal preparation, and personal care. Differences in service use between urban and rural groups within the underserved group substantially exceeded differences between the underserved and nationally representative groups. These findings address a gap in knowledge about older, ethnically diverse individuals with diabetes living in medically underserved areas. This profile of disparate service use and health care practices among urban minority and rural majority underserved adults with diabetes can assist in the planning of future interventions.

Goal setting using telemedicine in rural underserved older adults with diabetes: experiences from the informatics for diabetes education and telemedicine project.

OBJECTIVE: To describe the use of telemedicine for setting goals for behavior change and examine the success in achieving these goals in rural underserved older adults with diabetes. MATERIALS AND METHODS: Medicare beneficiaries with diabetes living in rural upstate New York who were enrolled in the telemedicine intervention of the Informatics for Diabetes Education and Telemedicine (IDEATel) project (n = 610) participated in home televisits with nurse and dietitian educators every 4-6 weeks for 2-6 years. Behavior change goals related to nutrition, physical activity, monitoring, diabetes health maintenance, and/or use of the home telemedicine unit were established at the conclusion of each televisit and assessed at the next visit. RESULTS: Collaborative goal setting was employed during 18,355 televisits (mean of 33 goal-setting televisits/participant). The most common goals were related to monitoring, followed by diabetes health maintenance, nutrition, exercise, and use of the telemedicine equipment. Overall, 68% of behavioral goals were rated as "improved" or "met." The greatest success was achieved for goals related to proper insulin injection technique and daily foot care. These elderly participants had the most difficulty achieving goals related to use of the computer. No gender differences in goal achievement were observed. CONCLUSION: Televisits can be successfully used to collaboratively establish behavior change goals to help improve diabetes self-management in underserved elderly rural adults.

Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel).

Objective To determine whether a diabetes case management telemedicine intervention reduced healthcare expenditures, as measured by Medicare claims, and to assess the costs of developing and implementing the telemedicine intervention. Design We studied 1665 participants in the Informatics for Diabetes Education and Telemedicine (IDEATel), a randomized controlled trial comparing telemedicine case management of diabetes to usual care. Participants were aged 55 years or older, and resided in federally designated medically underserved areas of New York State. Measurements We analyzed Medicare claims payments for each participant for up to 60 study months from date of randomization, until their death, or until December 31, 2006 (whichever happened first). We also analyzed study expenditures for the telemedicine intervention over six budget years (February 28, 2000- February 27, 2006). Results Mean annual Medicare payments (SE) were similar in the usual care and telemedicine groups, $9040 ($386) and $9669 ($443) per participant, respectively (p>0.05). Sensitivity analyses, including stratification by censored status, adjustment by enrollment site, and semi-parametric weighting by probability of dropping-out, rendered similar results. Over six budget years 28 821 participant/months of telemedicine intervention were delivered, at an estimated cost of $622 per participant/month. Conclusion Telemedicine case management was not associated with a reduction in Medicare claims in this medically underserved population. The cost of implementing the telemedicine intervention was high, largely representing special purpose hardware and software costs required at the time. Lower implementation costs will need to be achieved using lower cost technology in order for telemedicine case management to be more widely used.

Every error a treasure: improving medication use with a nonpunitive reporting system.

BACKGROUND: The fear of reprisal, combined with the additional time required for reporting, are significant disincentives to reporting of medical events. Such considerations provided an incentive for the Upstate Medical University Hospital (Syracuse, New York) to develop monitoring systems to decrease the potential for drug harm. IMPLEMENTING A NONPUNITIVE REPORTING SYSTEM: Previously, a convenient, point-based score card system for punishment and remediation led to underreporting and hindered the identification of safety improvement opportunities in medication use processes. Nursing buy-in was accomplished through careful initial negotiations that emphasized that patients were best served by learning from errors in the medication use process. The revised medication event reporting policy, as established in October 2000 for all staff, severed the link between reporting errors and performance evaluations. RESULTS: Data collected 18 months before the policy change was compared with data collected after the policy change was enacted in October 2000. The number of reports received each month increased from an average of 19 to 102 (p < .001). DISCUSSION: Substantive quality improvements in medication have been achieved by using a systematic approach to the analysis of the markedly increased number of reported medication events following the introduction of a nonpunitive reporting system.

Primary care providers' perceptions of home diabetes telemedicine care in the IDEATel project.

CONTEXT: Few telemedicine projects have systematically examined provider satisfaction and attitudes. PURPOSE: To determine the acceptability and perceived impact on primary care providers' (PCP) practices of a randomized clinical trial of the use of telemedicine to electronically deliver health care services to Medicare patients with diabetes in federally designated medically underserved areas of upstate New York, primarily those in rural areas and small towns with limited access to primary care. METHODS: A longitudinal phone survey was completed by 116 PCPs with patients with diabetes in the treatment arm of the trial, and conducted 12 and 24 months after a PCP's first patient was randomized to the home telemedicine arm of the trial. The 36-item survey included measures of acceptability (to PCPs, time required), impact (on patient knowledge, confidence, perceived health outcomes), and communication. Six open-ended questions were analyzed qualitatively. RESULTS: The quantitative data indicated positive responses in terms of acceptability of the telemedicine intervention to the PCPs and of the impact on the PCPs' patients. This was most evident in issues critical to good control of diabetes: patient knowledge, ability to manage diabetes, confidence, and compliance in managing diabetes. Key qualitative themes, on the positive end, were more patient control and motivation, helpfulness of having extra patient data, and involvement of nurses and dieticians. Negative themes were excessive paperwork and duplication taking more PCP time, and conflicting advice and management decisions from the telemedicine team, some without informing the PCP but none involving medications. CONCLUSIONS: Telemedicine was reported to be a positive experience for predominantly rural PCPs and their Medicare-eligible patients from medically underserved areas; several inefficiencies need to be refined.

A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus.

BACKGROUND: Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness. METHODS: The authors conducted a randomized, controlled trial comparing telemedicine case management to usual care, with blinding of those obtaining outcome data, in 1,665 Medicare recipients with diabetes, aged 55 years or greater, and living in federally designated medically underserved areas of New York State. The primary endpoints were HgbA1c, blood pressure, and low-density lipoprotein (LDL) cholesterol levels. RESULTS: In the intervention group (n = 844), mean HgbA1c improved over one year from 7.35% to 6.97% and from 8.35% to 7.42% in the subgroup with baseline HgbA1c > or =7% (n = 353). In the usual care group (n = 821) mean HgbA1c improved over one year from 7.42% to 7.17%. Adjusted net reductions (one-year minus baseline mean values in each group, compared between groups) favoring the intervention were as follows: HgbA1c, 0.18% (p = 0.006), systolic and diastolic blood pressure, 3.4 (p = 0.001) and 1.9 mm Hg (p < 0.001), and LDL cholesterol, 9.5 mg/dL (p < 0.001). In the subgroup with baseline HgbA1c > or =7%, net adjusted reduction in HgbA1c favoring the intervention group was 0.32% (p = 0.002). Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dL. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York. CONCLUSION: Telemedicine case management improved glycemic control, blood pressure levels, and total and LDL cholesterol levels at one year of follow-up.

The role of nurses in installing telehealth technology in the home.

Home telehealth involves the use of video conferencing or remote monitoring equipment in patients' homes. The installation of hardware and training of patients has historically been performed by nurses, typically RNs. This article examines the experience of RNs as telehealth installers in the Informatics for Diabetes Education and Telemedicine (IDEATel) project, where RNs were responsible for the installation of the Home Telemedicine Units (HTUs) and for training patients in the use of the HTUs, blood pressure cuffs, and fingerstick glucose meters. Average installation and training time was 166 minutes (SD 51 min). Structured interviews with RN installers revealed that patient education and training accounted for roughly two thirds of the in-home time. Technology-related problems, especially those related to telecommunications, were the primary cause of installation difficulties. Thematic analysis of installer interviews identified eight major themes and confirmed the importance of both clinical and technical knowledge during the telehealth installation process.

Pharmacy costs and glycemic control in the Department of Veterans Affairs.

OBJECTIVE: To determine pharmacy costs for glycemic treatment and its relationship to glycemic control in the Department of Veterans Affairs (VA) between 1994 and 2000. RESEARCH DESIGN AND METHODS: Patients with diabetes in the VA in FY1994, FY1996, FY1998, and FY2000 were identified using an ambulatory care pharmacy-derived database. Total drug acquisition costs, as well as expenditures for insulin, oral glycemic control agents, and self-blood glucose monitoring strips, were determined for these veterans. HbA(1c) levels for the corresponding time periods were also obtained. Pharmacy costs (medications and monitoring) were examined by glycemic control treatment type. RESULTS: In FY2000, 18% (n = 535,016) of all VA pharmacy patients were identified as having diabetes, and they received 30% of all pharmacy prescriptions. Overall, 23% of pharmacy expenditures for these patients were related to glycemic control medications and monitoring supplies. Annual pharmacy costs increased from FY1994 to FY2000. The greatest change was the higher expenditure for monitoring supplies through FY1998, which then decreased in FY2000. Increased pharmacy costs were associated with improved glycemic control. In FY2000, the mean last HbA(1c) level (n = 446,384) fell to 7.6% from 7.8% in FY1998 (n = 204,136) and 8.4% in 1996 (n = 53,348). CONCLUSIONS: Diabetes was associated with high pharmacy costs. Increasing medication expenditures were associated with improved HbA(1c) levels at the aggregated national level. Policies concerning dispensing monitoring supplies and several diabetes quality improvement projects were initiated during this interval. Future challenges include initiatives to further optimize care while controlling costs.