A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database.

Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospective cohort studies with multi-year follow-up is not well-documented. Objective: To present a method to construct longitudinal patient samples from Medicare claims files that are representative of Medicare populations each year. Design: Retrospective cohort and cross-sectional designs. Participants: US Medicare beneficiaries with diabetes over a 10-year period. Methods: Medicare Master Beneficiary Summary Files were used to identify eligible patients for each year in over a 10-year period. We targeted a sample of ~900,000 patients per year. The first year's sample is stratified by county and race/ethnicity (white vs. minority), and targeted at least 250 patients in each stratum with the remaining sample allocated proportional to county population size with oversampling of minorities. Patients who were alive, did not move between counties, and stayed enrolled in Medicare fee-for-service (FFS) were retained in the sample for subsequent years. Non-retained patients (those who died or were dropped from Medicare) were replaced with a sample of patients in their first year of Medicare FFS eligibility or patients who moved into a sampled county during the previous year. Results: The resulting sample contains an average of 899,266 ± 408 patients each year over the 10-year study period and closely matches population demographics and chronic conditions. For all years in the sample, the weighted average sample age and the population average age differ by <0.01 years; the proportion white is within 0.01%; and the proportion female is within 0.08%. Rates of 21 comorbidities estimated from the samples for all 10 years were within 0.12% of the population rates. Longitudinal cohorts based on samples also closely resembled the cohorts based on populations remaining after 5- and 10-year follow-up. Conclusions and relevance: This sampling strategy can be easily adapted to other projects that require random samples of Medicare beneficiaries or other national claims files for longitudinal follow-up with possible oversampling of sub-populations.

A scoping review of racial/ethnic disparities in sleep.

BACKGROUND: Despite remarkable achievements in ensuring health equity, racial/ethnic disparities in sleep still persist and are emerging as a major area of concern. Accumulating evidence has not yet been well characterized from a broad perspective. We conducted a scoping review of studies on sleep disparities by race/ethnicity to summarize characteristics of existing studies and identify evidence gaps. METHODS: We searched PubMed, CINAHL, PsycINFO, and Web of Science databases for studies of racial/ethnic disparities in sleep. Studies that met inclusion criteria were retrieved and organized in a data charting form by study design, sleep measuring methods, sleep features, and racial/ethnic comparisons. RESULTS: One hundred sixteen studies were included in this review. Most studies focused on disparities between Whites and Blacks. Disproportionately fewer studies examined disparities for Hispanic, Asian, and other racial/ethnic groups. Self-reported sleep was most frequently used. Sleep duration, overall sleep quality, and sleep disordered breathing were frequently studied, whereas other features including sleep efficiency, latency, continuity, and architecture were understudied, particularly in racial minority groups in the US. Current study findings on racial/ethnic disparities in most of sleep features is mixed and inconclusive. CONCLUSIONS: This review identified significant evidence gaps in racial/ethnic disparities research on sleep. Our results suggest a need for more studies examining diverse sleep features using standardized and robust measuring methods for more valid comparisons of sleep health in diverse race/ethnicity groups.

Trends in Uninsured Rates Before and After Medicaid Expansion in Counties Within and Outside of the Diabetes Belt.

OBJECTIVE: To examine trends in uninsured rates between 2012 and 2016 among low-income adults aged <65 years and to determine whether the Patient Protection and Affordable Care Act (ACA), which expanded Medicaid, impacted insurance coverage in the Diabetes Belt, a region across 15 southern and eastern U.S. states in which residents have high rates of diabetes. RESEARCH DESIGN AND METHODS: Data for 3,129 U.S. counties, obtained from the Small Area Health Insurance Estimates and Area Health Resources Files, were used to analyze trends in uninsured rates among populations with a household income ≤138% of the federal poverty level. Multivariable analysis adjusted for the percentage of county populations aged 50-64 years, the percentage of women, Distressed Communities Index value, and rurality. RESULTS: In 2012, 39% of the population in the Diabetes Belt and 34% in non-Belt counties were uninsured (P < 0.001). In 2016 in states where Medicaid was expanded, uninsured rates declined rapidly to 13% in Diabetes Belt counties and to 15% in non-Belt counties. Adjusting for county demographic and economic factors, Medicaid expansion helped reduce uninsured rates by 12.3% in Diabetes Belt counties and by 4.9% in non-Belt counties. In 2016, uninsured rates were 15% higher for both Diabetes Belt and non-Belt counties in the nonexpansion states than in the expansion states. CONCLUSIONS: ACA-driven Medicaid expansion was more significantly associated with reduced uninsured rates in Diabetes Belt than in non-Belt counties. Initial disparities in uninsured rates between Diabetes Belt and non-Belt counties have not existed since 2014 among expansion states. Future studies should examine whether and how Medicaid expansion may have contributed to an increase in the use of health services in order to prevent and treat diabetes in the Diabetes Belt.

Individual Surgeon's Contribution to Value.

Estimating surgeon-level value in health care remains relatively unexplored. American College of Surgeons National Surgical Quality Improvement Program Participant Use Files (2005-2013) were linked with total costs at a single institution. Random intercepts in 3-level random effects logistic regression models predicted 30-day postoperative mortality or morbidity for each surgeon each year. Value was defined as quality (morbidity or mortality) divided by costs for surgeons performing general surgery and vascular procedures. Forty-four surgeons performed 11 965 surgeries. Risk-adjusted costs trended down over time. For all surgeries, mortality value increased by 3.27 per year (95% confidence interval = 2.54-4.01; P < .001) on a 100-point scale, while morbidity value did not change. Of 21 surgeons with data for 5 years or longer, mortality value increased for all surgeons except one. Continuous increase in complication rates from 2008 contributed to decreased morbidity value. Value may assist surgeons in exploring performance opportunities better than morbidity or mortality alone.

Cost-related medication non-adherence among U.S. adults with diabetes.

AIMS: To examine factors that affect cost-related medication non-adherence (CRN), defined as taking medication less than as prescribed because of cost, among adults with diabetes and to determine their relative contribution in explaining CRN. METHODS: Behavioral Risk Factor Surveillance System data for 2013-2014 were used to identify individuals with diabetes and their CRN. We modeled CRN as a function of financial factors, regimen complexity, and other contextual factors including diabetes care, lifestyle, and health factors. Dominance analysis was performed to rank these factors by relative importance. RESULTS: CRN among U.S. adults with diabetes was 16.5%. Respondents with annual income <$50,000 and without health insurance were more likely to report CRN, compared to those with income ≥$50,000 and those with insurance, respectively. Insulin users had 1.24 times higher risk of CRN compared to those not on insulin. Contextual factors that significantly affected CRN included diabetes care factors, lifestyle factors, and comorbid depression, arthritis, and COPD/asthma. Dominance analysis showed health insurance was the most important factor for respondents <65 and depression was the most important factor for respondents ≥65. CONCLUSIONS: In addition to traditional risk factors of CRN, compliance with annual recommendations for diabetes and healthy lifestyle were associated with lower CRN. Policies and social supports that address these contextual factors may help improve CRN.

Effect of a Mobile Web App on Kidney Transplant Candidates' Knowledge About Increased Risk Donor Kidneys: A Randomized Controlled Trial.

BACKGROUND: Kidney transplant candidates (KTCs) must provide informed consent to accept kidneys from increased risk donors (IRD), but poorly understand them. We conducted a multisite, randomized controlled trial to evaluate the efficacy of a mobile Web application, Inform Me, for increasing knowledge about IRDs. METHODS: Kidney transplant candidates undergoing transplant evaluation at 2 transplant centers were randomized to use Inform Me after routine transplant education (intervention) or routine transplant education alone (control). Computer adaptive learning method reinforced learning by embedding educational material, and initial (test 1) and additional test questions (test 2) into each chapter. Knowledge (primary outcome) was assessed in person after education (tests 1 and 2), and 1 week later by telephone (test 3). Controls did not receive test 2. Willingness to accept an IRD kidney (secondary outcome) was assessed after tests 1 and 3. Linear regression test 1 knowledge scores were used to test the significance of Inform Me exposure after controlling for covariates. Multiple imputation was used for intention-to-treat analysis. RESULTS: Two hundred eighty-eight KTCs participated. Intervention participants had higher test 1 knowledge scores (mean difference, 6.61; 95% confidence interval [95% CI], 5.37-7.86) than control participants, representing a 44% higher score than control participants' scores. Intervention participants' knowledge scores increased with educational reinforcement (test 2) compared with control arm test 1 scores (mean difference, 9.50; 95% CI, 8.27-10.73). After 1 week, intervention participants' knowledge remained greater than controls' knowledge (mean difference, 3.63; 95% CI, 2.49-4.78) (test 3). Willingness to accept an IRD kidney did not differ between study arms at tests 1 and 3. CONCLUSIONS: Inform Me use was associated with greater KTC knowledge about IRD kidneys above routine transplant education alone.

Association Between State Medical Malpractice Environment and Surgical Quality and Cost in the United States.

CONTEXT: The US medical malpractice system is designed to deter negligence and encourage quality of care through threat of liability. OBJECTIVE: To examine whether state-level malpractice environment is associated with outcomes and costs of colorectal surgery. DESIGN, SETTING, AND PATIENTS: Observational study of 116,977 Medicare fee-for-service beneficiaries who underwent colorectal surgery using administrative claims data. State-level malpractice risk was measured using mean general surgery malpractice insurance premiums; paid claims per surgeon; state tort reforms; and a composite measure. Associations between malpractice environment and postoperative outcomes and price-standardized Medicare payments were estimated using hierarchical logistic regression and generalized linear models. MAIN OUTCOME MEASURES: thirty-day postoperative mortality; complications (pneumonia, myocardial infarction, venous thromboembolism, acute renal failure, surgical site infection, postoperative sepsis, any complication); readmission; total price-standardized Medicare payments for index hospitalization and 30-day postdischarge episode-of-care. RESULTS: Few associations between measures of state malpractice risk environment and outcomes were identified. However, analyses using the composite measure showed that patients treated in states with greatest malpractice risk were more likely than those in lowest risk states to experience any complication (OR: 1.31; 95% CI: 1.22-1.41), pneumonia (OR: 1.36; 95%: CI, 1.16-1.60), myocardial infarction (OR: 1.44; 95% CI: 1.22-1.70), venous thromboembolism (OR:2.11; 95% CI: 1.70-2.61), acute renal failure (OR: 1.34; 95% CI; 1.22-1.47), and sepsis (OR: 1.38; 95% CI: 1.24-1.53; all P < 0.001). There were no consistent associations between malpractice environment and Medicare payments. CONCLUSIONS: There were no consistent associations between state-level malpractice risk and higher quality of care or Medicare payments for colorectal surgery.

Impact of Patient-Centered Care Innovations on Access to Providers, Ambulatory Care Utilization, and Patient Clinical Indicators in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration piloted patient-centered care (PCC) innovations beginning in 2010 to improve patient and provider experience and environment in ambulatory care. We use secondary data to look at longitudinal trends, evaluate system redesign, and identify areas for further quality improvement. METHODS: This was a retrospective, observational study using existing secondary data from multiple US Department of Veteran Affairs sources to evaluate changes in veteran and facility outcomes associated with PCC innovations at 2 innovation and matched comparison sites between FY 2008-2010 (pre-PCC innovations) and FY 2011-2012 (post-PCC innovations). Outcomes included access to primary care providers (PCPs); primary, specialty, and emergency care use; and clinical indicators for chronic disease. RESULTS: Longitudinal trends revealed a different story at each site. One site demonstrated better PCP access, decrease in emergency and primary care use, increase in specialty care use, and improvement in diabetic glucose control. The other site demonstrated a decrease in PCP access and primary care use, no change in specialty care use, and an increase in diastolic blood pressure in relation to the comparison site. CONCLUSION: Secondary data analysis can reveal longitudinal trends associated with system changes, thereby informing program evaluation and identifying opportunities for quality improvement.

Disparities in recommended preventive care usage among persons living with diabetes in the Appalachian region.

OBJECTIVE: To examine disparities in the receipt of preventive care recommended by the American Diabetes Association (ADA) between Appalachian and non-Appalachian counties and within Appalachian counties. RESEARCH DESIGN AND METHODS: Behavioral Risk Factor Surveillance System (BRFSS) data for 2008-2010 were used to identify individuals with diabetes and their preventive care usage. Each Appalachian respondent county of residence was categorised into one of the five economic levels: distressed, at-risk, transitional, competitive and attainment counties. Competitive and attainment counties were combined and designated as competitive counties. We used logistic regressions to compare receipt of ADA preventive care recommendations by county economic level, adjusting for respondent demographic, socioeconomic, health and access-to-care factors. RESULTS: Compared to the most affluent (competitive) counties, less affluent (distressed and at-risk) counties demonstrated equivalent or higher rates of self-care practices such as daily blood glucose monitoring and daily foot checks. But they showed 40-50% lower uptake of annual foot and eye examinations and 30% lower uptake of diabetes education and pneumococcal vaccinations compared to competitive counties. After adjusting for demographic factors, significant disparities still existed in the uptake of annual foot examinations, annual eye examinations, 2 or more A1c tests per year and pneumococcal vaccinations in distressed and at-risk counties compared to competitive counties. Appalachian counties as a whole were similar to non-Appalachian counties in the uptake of all recommendations with the absolute differences of ≤3%. CONCLUSIONS: Our results show that there are significant disparities in the uptake of many recommended preventive services between less and more affluent counties in the Appalachian region.

National survey of adult transplant hepatologists on the pediatric-to-adult care transition after liver transplantation.

Adult transplant hepatologists face challenges in providing care to young adults who received liver transplants during childhood. Because prior studies have focused mainly on pediatric providers, understanding these issues from the perspective of the adult hepatologist may provide novel insights and identify key barriers to care in this population. We conducted a national survey of adult transplant hepatologists to assess factors that may affect the transition of recipients from pediatric care to adult care. More than half of transplant hepatologists from all United Network for Organ Sharing regions (236/408 or 57.8%) completed the survey, and they reported that only 46.1% of patients arrived at their first adult clinic with both adequate knowledge of their condition and a parent/guardian. Moreover, 32.4% reported having no transition strategy, and only 15.5% reported having a formal transition program. The respondents reported that the greatest barriers to optimal care were patients' poor adherence and their limited knowledge and management of their condition. Those who reported participating in a formal transition program were less likely to report an inability of patients to discuss the impact of their condition on their overall daily life, fitness, and sexuality as a barrier to transition (odds ratio = 0.40, 95% confidence interval = 0.16-1.00). Our survey suggests that a formalized transition process is uncommon in adult transplant hepatology clinics and that improving patient knowledge, understanding specific components of effective transition programs, and incorporating input from adult providers in designing such programs may improve this process.

Development of a composite measure of state-level malpractice environment.

OBJECTIVE: To develop a composite measure of state-level malpractice environment. DATA SOURCES: Public use data from the National Practitioner Data Bank, Medical Liability Monitor, the National Conference of State Legislatures, and the American Bar Association. STUDY DESIGN: Principal component analysis of state-level indicators (paid claims rate, malpractice premiums, lawyers per capita, average award size, and malpractice laws), with indirect validation of the composite using receiver-operating characteristic curves to determine how accurately the composite could identify states with high-tort activity and costs. PRINCIPAL FINDINGS: A single composite accounted for over 73 percent of total variance in the seven indicators and demonstrated reasonable criterion validity. CONCLUSION: An empirical composite measure of state-level malpractice risk may offer advantages over single indicators in measuring overall risk and may facilitate cross-state comparisons of malpractice environments.

Adherence with postdischarge venous thromboembolism chemoprophylaxis recommendations after colorectal cancer surgery among elderly Medicare beneficiaries.

OBJECTIVES: To assess national adherence with extended venous thromboembolism (VTE) chemoprophylaxis guideline recommendations after colorectal cancer surgery. BACKGROUND: Postoperative VTE remains a major cause of morbidity and mortality after abdominal cancer surgery. On the basis of the results from randomized controlled trials, since 2007, national guidelines have suggested that these patients be discharged on VTE chemoprophylaxis. METHODS: Medicare beneficiaries undergoing open colorectal cancer resections in 2008-2009 were identified using the Medicare Provider Analysis and Review data and limited to those who were enrolled and used Part D for their postoperative prescriptions. Postdischarge use of low-molecular-weight-heparin and other anticoagulants was assessed. RESULTS: A total of 5078 patients underwent open colorectal cancer surgery and met the inclusion criteria. Of these, 77% underwent colectomy and 23% underwent proctectomy. A prescription for an anticoagulant was filled immediately after discharge for 77 (1.5%) patients, and a low-molecular-weight-heparin for 60 (1.2%) patients. On multivariable analysis, patients were more likely to receive postdischarge VTE chemoprophylaxis if undergoing rectal cancer surgery [incidence rate ratio (IRR), 1.83; 95% confidence interval, 1.07-3.12; vs colon], if higher educational status (IRR, 2.20; 95% confidence interval, 1.23-3.95; vs low education), or if they had a higher Elixhauser comorbidity index (IRR, 1.13; 95% confidence interval, 1.01-1.25; vs lower index). CONCLUSIONS: Although VTE remains a major issue after abdominal cancer surgery, only 1.5% of Medicare beneficiaries undergoing colorectal cancer surgery received care consistent with established guidelines for postdischarge VTE chemoprophylaxis. Barriers to adherence must be elucidated to improve the quality of care for abdominal and pelvic cancer surgery patients.

Relationship of meeting physical activity guidelines with health-related utility.

OBJECTIVE: Health-related utility measures overall health status and quality of life and is commonly incorporated into cost-effectiveness analyses. This study investigates whether attainment of federal physical activity guidelines translates into better health-related utility in adults with or at risk for knee osteoarthritis (OA). METHODS: Cross-sectional data from 1,908 adults with or at risk for knee OA participating in the accelerometer ancillary study of the Osteoarthritis Initiative were assessed. Physical activity was measured using 7 days of accelerometer monitoring and was classified as 1) meeting guidelines (≥150 bouted moderate-to-vigorous [MV] minutes per week); 2) insufficiently active (≥1 MV bout[s] per week but below guidelines); or 3) inactive (zero MV bouts per week). A Short Form 6D health-related utility score was derived from patient-reported health status. Relationship of physical activity levels to median health-related utility adjusted for socioeconomic and health factors was tested using quantile regression. RESULTS: Only 13% of participants met physical activity guidelines, and 45% were inactive. Relative to the inactive group, median health-related utility scores were significantly greater for the meeting guidelines group (0.063; 95% confidence interval [95% CI] 0.055, 0.071) and the insufficiently active group (0.059; 95% CI 0.054, 0.064). These differences showed a statistically significant linear trend and strong cross-sectional relationship with physical activity level even after adjusting for socioeconomic and health factors. CONCLUSION: We found a significant positive relationship between physical activity level and health-related utility. Interventions that encourage adults, including persons with knee OA, to increase physical activity even if recommended levels are not attained may improve their quality of life.

Effects of welfare and maternal work on recommended preventive care utilization among low-income children.

OBJECTIVES: We examined how maternal work and welfare receipt are associated with children receiving recommended pediatric preventive care services. METHODS: We identified American Academy of Pediatrics-recommended preventive care visits from medical records of children in the 1999-2004 Illinois Families Study: Child Well-Being. We used Illinois administrative data to identify whether mothers received welfare or worked during the period the visit was recommended, and we analyzed the child visit data using random-intercept logistic regressions that adjusted for child, maternal, and visit-specific characteristics. RESULTS: The 485 children (95%) meeting inclusion criteria made 41% of their recommended visits. Children were 60% more likely (adjusted odds ratios [AOR` = 1.60; 95% confidence interval [CI] = 1.27, 2.01) to make recommended visits when mothers received welfare but did not work compared with when mothers did not receive welfare and did not work. Children were 25% less likely (AOR = 0.75; 95% CI = 0.60, 0.94) to make preventive care visits during periods when mothers received welfare and worked compared with welfare only periods. CONCLUSION: The Temporary Assistance for Needy Families maternal work requirement may be a barrier to receiving recommended preventive pediatric health care.

Participant Retention in the Veterans Health Administration's MOVE! Weight management program, 2010.

INTRODUCTION: Participant retention is a frequent concern in structured weight-management programs. Although research has explored participant characteristics influencing retention, little attention has been given to the influence of program characteristics. The objective of this study was to examine how program characteristics relate to participant retention in the Veterans Health Administration's weight-management program, MOVE! METHODS: We conducted semistructured interviews with coordinators of 12 MOVE! programs located throughout the United States, 5 with high participant retention rates and 7 with low rates. We transcribed and descriptively coded interviews and compared responses from high- and low-retention programs. RESULTS: Characteristics related to retention were provider knowledge of and referral to the program, reputation of the program within the medical facility, the MOVE! meeting schedule, inclusion of physical activity in group meetings, and involvement of the MOVE! physician champion. MOVE! introductory sessions, frequency of group meetings, and meeting topics were not related to retention. Coordinators described efforts to improve retention, including participant contracts and team competitions. Coordinators at 5 high-retention facilities and 1 low-retention facility discussed efforts to improve retention. CONCLUSION: Coordinators identified important program characteristics that could guide improvements to retention in group-based weight-management programs. Training for providers is needed to assist with referral decisions, and program planners should consider incorporating physical activity in group meetings.

Welfare, maternal work, and on-time childhood vaccination rates.

OBJECTIVE: To examine effects of Temporary Assistance for Needy Families welfare cash assistance and maternal work requirements on "on-time" childhood vaccination rates. METHODS: A stratified random sample of Illinois children from low-income families affected by welfare reform was monitored from 1997 to 2004. Medical records from pediatricians' offices and Medicaid claims data were used to identify the timeliness of 18 recommended vaccinations. Random-intercept logistic models were used to estimate on-time vaccine administration as a function of welfare receipt and maternal work with adjustment for characteristics of the children and mothers and time-varying covariates pertaining to the administration window for each recommended vaccine dose. RESULTS: Of all recommended vaccinations, 55.9% were administered on time. On-time vaccination rates were higher when families were receiving welfare than not (57.4% vs 52.8%). Children in families that either were receiving welfare or had working mothers were 1.7 to 2.1 times more likely to receive vaccinations on time compared with children in families that were not receiving welfare and did not have working mothers. When vaccine doses were stratified according to welfare status, maternal work was associated with decreased on-time vaccination rates (odds ratio: 0.73 [95% confidence interval: 0.59-0.90]) when families received welfare but increased on-time vaccination rates (odds ratio: 1.68 [95% confidence interval: 1.27-2.22]) when they did not receive welfare. CONCLUSIONS: These results indicate that maternal work requirements of Temporary Assistance for Needy Families had negative effects on timely administration of childhood vaccinations, although receipt of welfare itself was associated with increased on-time rates.

Electrodiagnostic consultation and identification of neuromuscular conditions in persons with diabetes.

INTRODUCTION: Although the American Association of Neuromuscular and Electrodiagnostic Medicine recommends that electrodiagnostic procedures should be performed by physicians with specialty training, these procedures are increasingly being performed by non-specialists. METHODS: We used a nationally representative sample of Medicare beneficiaries with diabetes who used electrodiagnostic services in 2006 to examine whether specialists and non-specialists were different in the rates of identifying common neuromuscular conditions. RESULTS: Specialists (neurologists and physiatrists) performed 62% of electrodiagnostic consultations; non-specialist physicians and non-physicians performed 31% and 5%, respectively. After adjusting for age, race/ethnicity, diabetes severity, and comorbidities, specialists were 1.26-9 times more likely than non-physicians to diagnose polyneuropathy, lumbosacral radiculopathy, cervical radiculopathy, carpal tunnel syndrome, and ulnar neuropathy. Almost 80% of electrodiagnostic studies performed by specialists included electromyography testing; fewer than 13% by non-specialists did. CONCLUSIONS: Inadequate use of electromyography and fewer specific diagnoses suggest that many non-specialists perform insufficiently comprehensive electrodiagnostic studies.

Predialysis nephrology care and costs in elderly patients initiating dialysis.

BACKGROUND: Access to nephrology care before initiation of chronic dialysis is associated with improved outcomes after initiation. Less is known about the effect of predialysis nephrology care on healthcare costs and utilization. METHODS: We conducted retrospective analyses of elderly patients who initiated dialysis between January 1, 2000 and December 31, 2001 and were eligible for services covered by the Department of Veterans Affairs. We used multivariable generalized linear models to compare healthcare costs for patients who received no predialysis nephrology care during the year before dialysis initiation with those who received low- (1-3 nephrology visits), moderate- (4-6 visits), and high-intensity (>6 visits) nephrology care during this time period. RESULTS: There were 8022 patients meeting inclusion criteria: 37% received no predialysis nephrology care, while 24% received low, 16% moderate, and 23% high-intensity predialysis nephrology care. During the year after dialysis initiation, patients in these groups spent an average of 52, 40, 31, and 27 days in the hospital (P < 0.001), respectively, and accounted for an average of $103,772, $96,390, $93,336, and $89,961 in total healthcare costs (P < 0.001), respectively. Greater intensity of predialysis nephrology care was associated with lower costs even among patients whose first predialysis nephrology visit was ≤ 3 months before dialysis initiation. Patients with greater predialysis nephrology care also had lower mortality rates during the year after dialysis initiation (43%, 38%, 28%, and 25%, respectively, P < 0.001). CONCLUSIONS: Greater intensity of predialysis nephrology care was associated with fewer hospital days and lower total healthcare costs during the year after dialysis initiation, even though patients survived longer.

Validation of erythropoietin use data on Medicare's End-Stage Renal Disease Medical Evidence Report.

Data from Medicare's End-Stage Renal Disease Medical Evidence Report (Form 2728) suggest that underuse of erythropoiesis-stimulating agents (ESAs) may be contributing to anemia in predialysis patients. However, the data quality of Form 2728 is not known. ESA prescription records were confirmed in Department of Veterans Affairs (VA) data sets and/or ESA claims in Medicare files and compared with data collected on Form 2728 among 8,033 veterans who initiated dialysis in 2000 and 2001 and were eligible for both VA and Medicare coverage in the 12 months preceding dialysis initiation. Among the cohort, predialysis ESA use was found in 4% (n = 323) more veterans by VA/Medicare data sets (n = 2,810) than by Form 2728 (n = 2,487). With the use of VA/Medicare data sets (gold standard), the accuracy of Form 2728 for predialysis ESA use was sensitivity 57.0%, specificity 83.1%, positive predictive value 64.5%, negative predictive value 78.2%, and kappa coefficient 0.41. Sensitivity for reported predialysis ESA use on Form 2728 was lowest among veterans who were female and nonwhite, of low socioeconomic status, and with anemia or other comorbid illnesses. The poor sensitivity and specificity of predialysis ESA use data on Form 2728 raise concerns about the validity of previous reports and study findings. Investigators should recognize these shortcomings and the introduction of possible bias in future research and reports.

Veterans' access to and use of Medicare and Veterans Affairs health care.

OBJECTIVES: We examined the impact of access to care characteristics on health care use patterns among those veterans dually eligible for Medicare and Veterans Affairs (VA) services. METHODS: We used a retrospective, cross-sectional design to identify veterans who were eligible to use VA and Medicare health care in calendar year 1999. We analyzed national VA utilization and Medicare claims data. We used descriptive and multivariable generalized ordered logit analyses to examine how patient, geographic, and environmental factors affect the percent reliance on VA and Medicare inpatient and outpatient services. RESULTS: Of the 1.47 million veterans in our study population with outpatient use, 18% were VA-only users, 36% were Medicare-only users, and 46% were both VA and Medicare users. Among veterans with inpatient use, 24% were VA only, 69% were Medicare only, and 6% were both VA and Medicare users. Multivariable analysis revealed that veterans who were black or had a higher VA priority were most likely to rely on the VA. Patient with higher risk scores were most likely to rely on a combination of VA and Medicare health care. Patients who lived farther from VA hospitals were less likely to rely on VA health care, particularly for inpatient care. Patients living in urban areas with more health care resources were less likely to rely on VA health care. CONCLUSIONS: VA health care provides an important safety net for vulnerable populations. Targeted approaches that carefully consider the simultaneous impacts of VA and Medicare policy changes on minority and high-risk populations are essential to ensure veterans have access to needed health care.