Special Article
Effect of the Transformation of the Veterans Affairs Health Care System on the Quality of Care
N Engl J Med 2003; 348:2218-2227May 29, 2003DOI: 10.1056/NEJMsa021899
- Abstract
Background
In the mid-1990s, the Department of Veterans Affairs (VA) health care system initiated a systemwide reengineering to, among other things, improve its quality of care. We sought to determine the subsequent change in the quality of health care and to compare the quality with that of the Medicare fee-for-service program.
Methods
Using data from an ongoing performance-evaluation program in the VA, we evaluated the quality of preventive, acute, and chronic care. We assessed the change in quality-of-care indicators from 1994 (before reengineering) through 2000 and compared the quality of care with that afforded by the Medicare fee-for-service system, using the same indicators of quality.
Results
In fiscal year 2000, throughout the VA system, the percentage of patients receiving appropriate care was 90 percent or greater for 9 of 17 quality-of-care indicators and exceeded 70 percent for 13 of 17 indicators. There were statistically significant improvements in quality from 1994–1995 through 2000 for all nine indicators that were collected in all years. As compared with the Medicare fee-for-service program, the VA performed significantly better on all 11 similar quality indicators for the period from 1997 through 1999. In 2000, the VA outperformed Medicare on 12 of 13 indicators.
Conclusions
The quality of care in the VA health care system substantially improved after the implementation of a systemwide reengineering and, during the period from 1997 through 2000, was significantly better than that in the Medicare fee-for-service program. These data suggest that the quality-improvement initiatives adopted by the VA in the mid-1990s were effective.
Media in This Article
Table 1
Quality-of-Care Indicators and Sampling Frame Used for Veterans Affairs (VA) and Medicare Patients.Table 2
Performance of the Veterans Affairs Program in Fiscal Years 1994–1995 through 2000.Article Activity
- Article
The quality of health care in the United States is variable and too often inadequate.1-10 The Veterans Health Administration in the Department of Veterans Affairs (VA) has been criticized for poor quality of care.11-14 In 1995, the VA launched a major reengineering of its health care system with aims that included better use of information technology, measurement and reporting of performance, and integration of services and realigned payment policies.15-19
We sought to determine how the quality of care provided by the VA changed after reengineering and to compare the quality of care with that provided by another government-funded health care program, the Medicare fee-for-service system. We used measures of quality that primarily focus on process, rather than outcomes, to assess the short-term effect of quality-improvement initiatives, since processes can be changed more quickly and typically do not require risk adjustment.4
Methods
Design
We used data from the VA's External Peer Review Program20 to assess the quality of care from 1994 through 2000 (such data were not available before 1994). Base-line data were collected in years 1994 and 1995, just before reengineering was initiated, and annually starting in 1997. We used performance scores for the VA health care system for years 1994 and 1995 as base-line values and evaluated changes in performance scores through 2000. Data from the External Peer Review Program are collected by abstracters trained by the West Virginia Medical Institute, a professional review organization with extensive experience and programs to ensure reliable and accurate data collection. Analyses of these data suggest high interrater reliability (kappa = 0.9).
Comparison of the VA with Medicare
We chose performance indicators in the External Peer Review Program for which there are comparable national data from the Medicare fee-for-service system.4,5 To our knowledge, there have been no prior national quality-of-care comparisons of the VA health care system and Medicare, but Jencks and colleagues recently reported the results of a national survey of the quality of care provided to Medicare beneficiaries in the fee-for-service component of the program.4,5 They used two sets of data: the first covered the period from 1997 through 1999, and the second the period from 2000 through 2001. Since the Medicare sample for screening-mammography rates included women 52 to 69 years of age, we included all female VA patients in that age range for that comparison. Because Medicare data included adults with diabetes who were younger than 75 years of age, we included only VA patients who were younger than 75 years old. Because the Medicare data on the rates of influenza and pneumococcal vaccination included only patients living in the community, we excluded any VA patients who were in nursing homes at the time of the survey for that comparison.
Sampling
Data from the External Peer Review Program are obtained on an ongoing basis from cross-sectional samples. From 1994 through 1999, patients were eligible to be included in a sample if they had made three or more visits to any VA primary care or specialty clinic in the previous 12 months (i.e., two or more visits before the visit in question). In 2000, the sampling frame changed to include patients with 2 years of continuous enrollment in the VA who had made only one or more visits in the previous 12 months. There was a 92.6 percent rate of concordance between these two sampling schemes (i.e., 92.6 percent of those who were in the sampling frame in 2000, with its looser eligibility standards, would have been in the sampling frame with the use of the prior eligibility rules).
Among eligible patients, two types of sampling were done. First, a large enough random sample of all patients was obtained to ensure that the data would represent stable estimates for each of the VA's 22 regional networks. Then, random samples were obtained of patients with common chronic diseases (e.g., diabetes, congestive heart failure, ischemic heart disease, and chronic obstructive pulmonary disease, identified by searching VA inpatient and outpatient data bases for specific International Classification of Diseases, 9th revision, codes). Visits made by VA employees were excluded because most such patients were not otherwise enrolled in VA health care and usually received their care elsewhere. Eligibility criteria and the sampling frame for all performance measures are described in Table 1Table 1
Quality-of-Care Indicators and Sampling Frame Used for Veterans Affairs (VA) and Medicare Patients..Medicare data were obtained from published data4,5 on reported rates and ranges of sample sizes for each state. These data were collected by the Medicare program with the use of relatively similar sampling schemes.4,5 The comparable measures of inpatient care involved patients with myocardial infarction or congestive heart failure. These data were collected with the use of a random sample of up to 750 patients per state who were discharged with the principal diagnosis of acute myocardial infarction or congestive heart failure. Patients with contraindications to the therapy of choice (aspirin, beta-blockers, or angiotensin-converting–enzyme inhibitors in those with an ejection fraction of less than 40 percent) were excluded from the analysis.
Vaccination rates were obtained from the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention. Data from this system were obtained through random-digit-dialing telephone surveys of noninstitutionalized adults. These estimates are for all persons 65 years or older; the median number of subjects was 430 per state in 1997. Mammography rates were calculated by determining whether Medicare had paid a claim for a diagnostic or screening mammogram in the previous two years. The sample of patients with diabetes consisted of randomly selected fee-for-service beneficiaries who had had two separate outpatient claims for diabetes or one such inpatient claim within the 12 months preceding the study period. The sampling criteria are further described in Table 1.
Measurements
We used all available measures of quality from the External Peer Review Program that were similar over time to assess the long-term quality of care. We included all VA performance data that were comparable to those for Medicare. These comprise frequently used measures of the quality of prevention (e.g., vaccinations and screening tests), outpatient care of chronic diseases (e.g., annual retinal examinations in patients with diabetes), and inpatient care (e.g., treatment with aspirin after an acute myocardial infarction). The specific performance measures chosen are listed in Table 1. Data on the control of hypertension were not available from the External Peer Review Program in the sample for 1994 through 1995; therefore, we used data from a study of 800 veterans with a mean age of 65.5 years.22 Since not all of these quality processes were measured in all years, results are reported when available.
Statistical Analysis
We calculated rates of services provided each year by dividing the number of eligible patients in a sample by the number who met the criteria for the service. We used a chi-square test for trend to assess whether performance was improving during the sampling period. All analyses were prespecified, and all P values are based on two-sided tests.
National Medicare sample sizes were calculated from published reports.4,5 Since each state has a range of sample sizes listed for each measure of quality, in order to be conservative, each state was assigned the smallest number of patients in its sample range (i.e., if a state had a reported sample size of 31 to 100, we assigned that state a sample size of 31). We also performed sensitivity analyses by using the largest sample sizes in the published range to calculate national sample sizes. Because our assumptions about sample sizes had no significant effect on the results of comparisons of Medicare and VA data, we present only the smallest sample sizes. All analyses were performed with the use of Stata software, version 7.0.
Results
The number of patients included in the External Peer Review Program sample varied from year to year, but 48,505 patients were included in the base-line data collection in the period from 1994 through 1995, and the size of each annual sample rose consistently until 2000, when the total was 84,503 patients. In the period from 1994 through 1995, the performance of the VA health care system was poor in nearly all areas, ranging from a 27 percent rate of pneumococcal vaccination to a 64 percent rate of breast-cancer screening among female patients (Table 2Table 2
Performance of the Veterans Affairs Program in Fiscal Years 1994–1995 through 2000.). The rates of aspirin and beta-blocker use were better, with 89 percent of patients who were admitted with a myocardial infarction receiving aspirin at the time of discharge.The first batch of data collected after the implementation of the reengineering efforts (in 1997) showed improved performance in all areas, with pneumococcal and influenza vaccination rates more than doubling, substantial increases in the rates of appropriate diabetes management, and improvements in inpatient management of acute myocardial infarction. Performance rose steadily throughout the 1990s, and by 2000, high rates of screening and vaccination, management of chronic diseases, and inpatient care were reported. There were moderate improvements in the rates of hypertension control, eye examination among patients with diabetes, and screening for colorectal cancer. For the 13 measures for which multiyear data were available, there were significant improvements in 12 measures (P for trend <0.001 by the chi-square test).
When we compared VA performance scores from 1997 through 1999 among veterans who met the age and clinical criteria used to assess the quality of care received by patients in the Medicare fee-for-service system, we found 11 overlapping indicators. The performance of the VA system was significantly better than that of Medicare for all 11 measures (Table 3Table 3
Comparison of the Performance of the Veterans Affairs (VA) and Medicare Programs from 1997 through 2001.). The smallest difference was in the rate of annual eye examinations among patients with diabetes (absolute difference, 4 percent; P<0.001), and the largest difference was in the rate of mammography (absolute difference, 33 percent; P<0.001). Similarly, when we compared the performance of the VA system in 2000 with that of Medicare in the period from 2000 through 2001, we found 13 overlapping indicators. The VA system performed better on 12 of these indicators, whereas Medicare had a higher rate of annual eye examinations among patients with diabetes.Finally, we were concerned that undertreatment of the elderly might bias our comparisons, since Medicare has a higher proportion of elderly patients than does the VA system. Therefore, we assessed the performance of the VA system among patients who were at least 65 years of age and those who were younger than 65 years of age. The performance of the VA system did not vary significantly according to age with respect to inpatient care and chronic disease management and was substantially better with respect to vaccinations among elderly patients than among younger patients. Therefore, if we had restricted our VA sample to those who were at least 65 years old, our conclusions would not have changed.
Discussion
We compared the quality of care in the VA health care system before and after its reengineering and found that the quality of care improved dramatically in all domains studied. These improvements were evident within two years after the system was reengineered and continued through fiscal year 2000. When we compared similar indicators of quality in the VA and Medicare fee-for-service systems during similar time periods, we found that the VA system performed better.
There are several possible explanations for the observed improvement in the VA's performance. We believe that the reengineering of VA health care, which included the implementation of a systematic approach to the measurement of, management of, and accountability for quality, was at the heart of the improvement. Routine performance measurements for high-priority conditions such as diabetes and coronary artery disease, emphasizing health maintenance and management of care, were instituted. Performance contracts held managers accountable for meeting improvement goals. Whenever possible, quality indicators were designed to be similar to performance measures commonly used in the private sector. Data gathering and monitoring were performed by an independent agency — the External Peer Review Program. Critical process improvements, such as an integrated, comprehensive electronic medical-record system, were instituted at all VA medical centers. Finally, performance data were made public and were widely distributed within the VA, among key stakeholders such as veterans' service organizations, and among members of Congress.
Another factor that might have contributed to the improvement in the VA system is a secular trend toward better performance industrywide. The indicators we used are included in either the Health Plan Employer Data and Information Set (HEDIS) for outpatient care or core measures used by the Joint Commission on Accreditation of Healthcare Organizations for inpatient care. The focus on these measures may have stimulated improvement among all providers, including the VA. However, it is unlikely to explain the bulk of the improvement in performance, since the VA is not included in HEDIS and has achieved performance levels well above those of the Medicare fee-for-service system on most indicators.
There are several possible reasons why the VA system outperformed Medicare's fee-for-service system. The structural differences between the two systems would make it difficult to ascribe the VA's superior quality to any one feature in this cross-sectional comparison. However, most of the structural differences between the two systems — such as the VA's centralized decision-making capabilities, salaried physician workforce, educational programs, and fixed budgets — were also present in 1995, when the quality of the VA system was worse. Therefore, the VA's superior quality relative to that of Medicare for the period from 1997 through 2000 probably has more to do with the quality-improvement initiatives that were instituted in the mid-1990s than with structural differences.
Some of the observed differences in performance might reflect differences in sampling. Before 2000, the VA obtained data from patients who had made at least two visits before the index visit, an approach that might have biased the results by potentially including only heavy users of the VA health care system. However, after the criteria were changed in 2000 to require only one prior visit, most of the performance rates remained essentially unchanged or improved. Furthermore, the sample population analyzed in 2000 was very similar to that of Medicare, since most patients in each system made at least one visit to a health care provider.23 Since the average annual number of visits per Medicare enrollee is five,24,25 it is unlikely that the VA's sample populations before 2000 were meaningfully different from those of Medicare.
Another potential explanation for our results is differences in patients between the two systems. However, as compared with Medicare enrollees, users of VA health care are more likely to be in poor health; to have a low level of education, disability, or a low income; to be black; and to have higher rates of psychiatric illness.26-30 These characteristics are associated with receiving poorer quality care,31-33 thus making such differences an unlikely explanation for our findings.
Although operational reorganization and the implementation of quality-management principles, including some recently advocated by the Institute of Medicine,10 were most likely important, other differences between the VA and Medicare systems may have had a role. In particular, since the mid-1990s, the goal setting and resource allocation have been much more centralized in the VA system than in the private sector. Thus, the management structure may have made it more amenable to improvement than the less centralized Medicare fee-for-service system.
Two other important differences between the two systems are that the VA allocates its funds on a modified capitation basis34 and that VA managers know they are likely to care for their patients throughout their lives. The combination of these two factors creates an environment in which investments made in health promotion and care management offer a greater return over time for health care providers in the VA system than for those in the Medicare fee-for-service system.
The VA system did not perform as well on measures of hypertension control and colorectal-cancer screening as it did on other measures. This difference may reflect the greater dependence of these measures on the compliance of patients with medical care (especially drug therapy for hypertension or fecal occult-blood testing) and the fact that the importance of colorectal screening is less well recognized by patients and providers than is, for instance, the importance of mammography.
Our study has several limitations. Most important, our results derive from observational data, so we cannot be certain that the improvement seen reflects the quality-improvement interventions. Although the sampling methods used in the External Peer Review Program and those used by Jencks et al.4,5 are quite similar, they are not identical, and the results may therefore be affected by differences in sampling that are not apparent. However, any difference in sampling is unlikely to account for the large differences observed in performance. In addition, because the indicators we studied represent processes of care or intermediate outcomes, they reflect only selected aspects of the overall quality of care. A full assessment would require the measurement of outcomes such as mortality and patient satisfaction. However, there is strong evidence linking the processes of care we used with clinical outcomes, and as Palmer has suggested, process data may reveal more about the performance of health care providers and organizations than do outcomes data.35
Finally, we were able to measure quality in only a few clinical areas, and though the indicators target common diseases, we could not assess the quality of care provided along the entire spectrum of clinical conditions. We therefore cannot generalize our results to encompass the overall quality of care in the VA system, since the focus on these specific areas by VA management may have led to improvements in the targeted conditions alone. However, we did use data from all the clinical domains for which quality was measured.
Because the VA has electronic medical records, some of the differences we observed may be due to better documentation within the VA system than within Medicare. However, given that the Medicare rates were derived with the use of a combination of patient surveys, billing records, and detailed chart review, any deficiencies in documentation in the Medicare sample should have been mitigated somewhat. Furthermore, there may have been underreporting in the VA data set, since some VA patients get care outside the system and this care may not be documented in the VA records. If there were more complete recording of the care received by such patients, the observed differences would be expected to be greater.
Finally, we do not have detailed cost information about the changes instituted by the VA, and therefore, we cannot consider issues of costs. However, we do know that the budget of the Veterans Health Administration was essentially flat between fiscal years 1995 and 2000 while the number of patients increased by over 40 percent. Further research would be needed to determine whether the costs of the VA's quality initiatives justified the clinical benefits achieved.
In conclusion, the reengineering of the Veterans Health Administration appears to have resulted in dramatic improvements in the quality of care provided to veterans. Many of the principles adopted by the VA in its quality-improvement projects, including an emphasis on the use of information technology, performance measurement and reporting, realigned payment policies, and integration of services to achieve high-quality, effective, and timely care, have recently been recommended for the health care system as a whole by the Institute of Medicine.10 Our findings suggest that initiatives based on these principles may substantially improve the quality of care.
Source Information
From the Office of Quality and Performance, Veterans Health Administration, Washington, D.C. (A.K.J., J.B.P.); the Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, San Francisco (A.K.J.); the Division of General Internal Medicine, Brigham and Women's Hospital, Boston (A.K.J.); the National Quality Forum, Washington, D.C. (K.W.K.); and the Institute for Health Policy Studies, University of California, San Francisco, San Francisco (R.A.D.).
Address reprint requests to Dr. Dudley at the Institute for Health Policy Studies, Box 0936, 333 California St., Suite 265, San Francisco, CA 94118, or at adudley@itsa.ucsf.edu.
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Baiju R. Shah, Janet E. Hux, Andreas Laupacis, Bernard Zinman, Merrick Zwarenstein. (2007) Deficiencies in the Quality of Diabetes Care. Journal of General Internal Medicine 22:2, 275-279
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Joseph L. Goulet, Joseph Erdos, Sue Kancir, Forrest L. Levin, Steven M. Wright, Stanlie M. Daniels, Lynnette Nilan, Amy C. Justice. (2007) Measuring Performance Directly Using the Veterans Health Administration Electronic Medical Record. Medical Care 45:1, 73-79
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ADAM OLIVER. (2007) The Veterans Health Administration: An American Success Story?. The Milbank Quarterly 85:1, 5-35
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Nancy D. Sharp, Gwendolyn T. Greiner, Yu-Fang Li, Pamela H. Mitchell, Julie A. Sochalski, Paulette R. Cournoyer, Anne E. Sales. (2006) Nurse Executive and Staff Nurse Perceptions of the Effects of Reorganization in Veterans Health Administration Hospitals. JONA: The Journal of Nursing Administration 36:10, 471-478
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Bevanne Bean-Mayberry, Chung-Chou Chang, Sarah Hudson Scholle. (2006) BRIEF REPORT: Lack of a Race Effect in Primary Care Ratings Among Women Veterans. Journal of General Internal Medicine 21:10, 1105-1108
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Amy C. Justice, Joseph Erdos, Cynthia Brandt, Joseph Conigliaro, William Tierney, Kendall Bryant. (2006) The Veterans Affairs Healthcare System. Medical Care 44:Suppl 2, S7-S12
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Anita Deswal, Nancy J. Petersen, Diana L. Urbauer, Steven M. Wright, Rebecca Beyth. (2006) Racial variations in quality of care and outcomes in an ambulatory heart failure cohort. American Heart Journal 152:2, 348-354
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Katie M Speidel, Daniel E Hilleman. (2006) Antihypertensive therapy for the prevention of stroke in the aging population. Aging Health 2:4, 589-597
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Judith M. E. Walsh, Kathryn M. McDonald, Kaveh G. Shojania, Vandana Sundaram, Smita Nayak, Robyn Lewis, Douglas K. Owens, Mary Kane Goldstein. (2006) Quality Improvement Strategies for Hypertension Management. Medical Care 44:7, 646-657
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David A. Etzioni, Elizabeth M. Yano, Lisa V. Rubenstein, Martin L. Lee, Clifford Y. Ko, Robert H. Brook, Patricia H. Parkerton, Steven M. Asch. (2006) Measuring the Quality of Colorectal Cancer Screening: The Importance of Follow-Up. Diseases of the Colon & Rectum 49:7, 1002-1010
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Marcel Ruzicka, Frans H. H. Leenen. (2006) Moving beyond guidelines: Are report cards the answer to high rates of uncontrolled hypertension?. Current Hypertension Reports 8:4, 324-329
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James M. Smith, Thomas J. Craig. (2006) Strategies for improving pneumococcal vaccination in eligible patients. Current Infectious Disease Reports 8:3, 231-237
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William B. Weeks, David M. Bott, Dorothy A. Bazos, Stacey L. Campbell, Rosemary Lombardo, Michael J. Racz, Edward L. Hannan, Steven M. Wright, Elliott S. Fisher. (2006) Veterans Health Administration Patients??? Use of the Private Sector for Coronary Revascularization In New York. Medical Care 44:6, 519-526
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Richard A. Mularski, Foy White-Chu, Devorah Overbay, Lois Miller, Steven M. Asch, Linda Ganzini. (2006) Measuring Pain as the 5th Vital Sign Does Not Improve Quality of Pain Management. Journal of General Internal Medicine 21:6, 607-612
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David C. Miller, John T. Wei, James E. Montie, Brent K. Hollenbeck. (2006) Quality of care and performance-based reimbursement: The contemporary landscape and implications for urologists. Urology 67:6, 1117-1125
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Alfredo J. Selim, Lewis E. Kazis, William Rogers, Shirley Qian, James A. Rothendler, Austin Lee, Xinhua S. Ren, Samuel C. Haffer, Russ Mardon, Donald Miller, Avron Spiro, Bernardo J. Selim, Benjamin G. Fincke. (2006) Risk-Adjusted Mortality as an Indicator of Outcomes. Medical Care 44:4, 359-365
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Rebekah A. Kaplowitz, Richard E. Scranton, David R. Gagnon, Colleen Cantillon, James W. Levenson, Howard D. Sesso, Louis D. Fiore, J. Michael Gaziano. (2006) Health care utilization and receipt of cholesterol testing by veterans with and those without mental illness. General Hospital Psychiatry 28:2, 137-144
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Donna L. Washington, Elizabeth M. Yano, Barbara Simon, Su Sun. (2006) To Use or Not to Use. What Influences Why Women Veterans Choose VA Health Care. Journal of General Internal Medicine 21:S3, S11-S18
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Chin-Lin Tseng, Usha Sambamoorthi, Mangala Rajan, Anjali Tiwari, Susan Frayne, Patricia Findley, Leonard Pogach. (2006) Are there Gender Differences in Diabetes Care Among Elderly Medicare Enrolled Veterans?. Journal of General Internal Medicine 21:S3, S47-S53
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Catarina I. Kiefe, Anne Sales. (2006) A State-of-the-Art Conference on Implementing Evidence in Health Care.. Journal of General Internal Medicine 21:S2, S67-S70
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Mayur M. Desai, Robert A. Rosenheck, Thomas J. Craig. (2006) Case-Finding for Depression Among Medical Outpatients in the Veterans Health Administration. Medical Care 44:2, 175-181
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Catherine H. MacLean, Rachel Louie, Paul G. Shekelle, Carol P. Roth, Debra Saliba, Takahiro Higashi, John Adams, John T. Chang, Caren J. Kamberg, David H. Solomon, Roy T. Young, Neil S. Wenger. (2006) Comparison of Administrative Data and Medical Records to Measure the Quality of Medical Care Provided to Vulnerable Older Patients. Medical Care 44:2, 141-148
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Ru-Chien Chi, Gayle E. Reiber, Kathleen M. Neuzil. (2006) Influenza and Pneumococcal Vaccination in Older Veterans: Results from the Behavioral Risk Factor Surveillance System. Journal of the American Geriatrics Society 54:2, 217-223
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Wes Thompson, Hongwei Wang, Minge Xie, John Kolassa, Mangala Rajan, Chin-Lin Tseng, Stephen Crystal, Quanwu Zhang, Yehuda Vardi, Leonard Pogach, Monika M. Safford. (2005) Assessing Quality of Diabetes Care by Measuring Longitudinal Changes in Hemoglobin A1c in the Veterans Health Administration. Health Services Research 40:6p1, 1818-1835
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T. D. Sequist, T. Cullen, J. Z. Ayanian. (2005) Information Technology as a Tool to Improve the Quality of American Indian Health Care. American Journal of Public Health 95:12, 2173-2179
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J. A. Long, D. Polsky, J. P. Metlay. (2005) Changes in Veterans' Use of Outpatient Care From 1992 to 2000. American Journal of Public Health 95:12, 2246-2251
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Walter E. Longo, William Cheadle, Aaron Fink, Robert Kozol, Ralph DePalma, Robert Rege, Leigh Neumayer, John Tarpley, Margaret Tarpley, Ray Joehl, Thomas A. Miller, Douglas Rosendale, Kamal Itani. (2005) The role of the Veterans Affairs Medical Centers in patient care, surgical education, research and faculty development. The American Journal of Surgery 190:5, 662-675
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(2005) American Thoracic Society/Centers for Disease Control and Prevention/Infectious Diseases Society of America: Controlling Tuberculosis in the United States. American Journal of Respiratory and Critical Care Medicine 172:9, 1169-1227
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Keyur B. Shah, Krishnamurti Rao, Robert Sawyer, Stephen S. Gottlieb. (2005) The Adequacy of Laboratory Monitoring in Patients Treated With Spironolactone for Congestive Heart Failure. Journal of the American College of Cardiology 46:5, 845-849
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Trivedi , Amal N. , Zaslavsky , Alan M. , Schneider , Eric C. , Ayanian , John Z. , . (2005) Trends in the Quality of Care and Racial Disparities in Medicare Managed Care. New England Journal of Medicine 353:7, 692-700
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Jeffrey K. Levin-Scherz. (2005) Disease Management Will Suffer if Providers Remain on the Sidelines. Disease Management 8:4, 199-204
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DAVID C. MILLER, JAMES E. MONTIE, JOHN T. WEI. (2005) MEASURING THE QUALITY OF CARE FOR LOCALIZED PROSTATE CANCER. The Journal of Urology 174:2, 425-431
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Ashish K. Jha, Jonathan B. Perlin, Michael A. Steinman, John W. Peabody, John Z. Ayanian. (2005) Quality of Ambulatory Care for Women and Men in the Veterans Affairs Health Care System. Journal of General Internal Medicine 20:8, 762-765
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William B. Weeks, Dorothy A. Bazos, David M. Bott, Rosemary Lombardo, Michael J. Racz, Edward L. Hannan, Elliott S. Fisher. (2005) New York's Statistical Model Accurately Predicts Mortality Risk for Veterans Who Obtain Private Sector CABG. Health Services Research 40:4, 1186-1196
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Jean-Pierre Reinhold, Marianne Moon, Craig T. Tenner, Michael A. Poles, Edmund J. Bini. (2005) Colorectal Cancer Screening in HIV-Infected Patients 50 Years of Age and Older: Missed Opportunities for Prevention. The American Journal of Gastroenterology 100:8, 1805-1812
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Rodney A. Hayward, Steven M. Asch, Mary M. Hogan, Timothy P. Hofer, Eve A. Kerr. (2005) Sins of Omission. Getting Too Little Medical Care May be the Greatest Threat to Patient Safety. Journal of General Internal Medicine 20:8, 686-691
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Constance H. Fung, Marc N. Elliott, Ron D. Hays, Katherine L. Kahn, David E. Kanouse, Elizabeth A. McGlynn, Mark D. Spranca, Paul G. Shekelle. (2005) Patients' Preferences for Technical versus Interpersonal Quality When Selecting a Primary Care Physician. Health Services Research 40:4, 957-977
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Romano , Patrick S. , . (2005) Improving the Quality of Hospital Care in America. New England Journal of Medicine 353:3, 302-304
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Williams , Scott C. , Schmaltz , Stephen P. , Morton , David J. , Koss , Richard G. , Loeb , Jerod M. , . (2005) Quality of Care in U.S. Hospitals as Reflected by Standardized Measures, 2002–2004. New England Journal of Medicine 353:3, 255-264
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Sylvia J. Hysong, Richard G. Best, Jacqueline A. Pugh, Frank I. Moore. (2005) Not of One Mind: Mental Models of Clinical Practice Guidelines in the Veterans Health Administration. Health Services Research 40:3, 829-848
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Enrique Bernal. (2005) El amigo americano. Revista de Calidad Asistencial 20:3, 122-123
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Peter A. Engel, Gurjeet S. Kahlon, Syed Shah. (2005) Diagnosis of Colon and Rectal Cancer in a Large VA Medical Center Practice: Does Fecal Occult Blood Screening Make a Difference?. Southern Medical Journal 98:4, 495-496
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Daniel G. Federman, Dana C. Ranani, Robert S. Kirsner, Dawn M. Bravata. (2005) Lipid-Lowering Therapy in Patients With Peripheral Arterial Disease: Are Guidelines Being Met?. Mayo Clinic Proceedings 80:4, 494-498
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C.-L. Tseng. (2005) Seasonal Patterns in Monthly Hemoglobin A1c Values. American Journal of Epidemiology 161:6, 565-574
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Mary Beth Landrum, Edward Guadagnoli, Rose Zummo, David Chin, Barbara J. McNeil. (2004) Care following Acute Myocardial Infarction in the Veterans Administration Medical Centers: A Comparison with Medicare. Health Services Research 39:6p1, 1773-1792
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Paul A. Heidenreich. (2004) Commentary: Measuring the Quality of the VA Health Care System. Health Services Research 39:6p1, 1793-1798
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S. Vikman, K. E. J. Airaksinen, I. Tierala, K. Peuhkurinen, K. Majamaa-Voltti, M. Niemela, H. Tuunanen, M. S. Nieminen, K. Niemela. (2004) Improved adherence to practice guidelines yields better outcome in high-risk patients with acute coronary syndrome without ST elevation: findings from nationwide FINACS studies. Journal of Internal Medicine 256:4, 316-323
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Peter J. Pronovost, Michael L. Rinke, Katherine Emery, Cheryl Dennison, Charles Blackledge, Sean M. Berenholtz. (2004) Interventions to reduce mortality among patients treated in Intensive Care Units. Journal of Critical Care 19:3, 158-164
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Harlan M. Krumholz. (2004) The year in health care delivery and outcomes research. Journal of the American College of Cardiology 44:5, 1130-1136
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Eve A. Kerr. (2004) Clinical Management Strategies and Diabetes Quality:. Medical Care 42:9, 825-828
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Ashish K. Jha, Eric C. Schneider. (2004) From motives to results: Improving the effectiveness of quality improvement. The American Journal of Medicine 117:5, 359-361
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Tu , Jack V. , Willison , Donald J. , Silver , Frank L. , Fang , Jiming , Richards , Janice A. , Laupacis , Andreas , Kapral , Moira K. , . (2004) Impracticability of Informed Consent in the Registry of the Canadian Stroke Network. New England Journal of Medicine 350:14, 1414-1421
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P. Todd Korthuis, Steven M. Asch, Henry D. Anaya, Hal Morgenstern, Matthew Bidwell Goetz, Elizabeth M. Yano, Lisa V. Rubenstein, Martin L. Lee, Samuel A. Bozzette. (2004) Lipid Screening in HIV-Infected Veterans. JAIDS Journal of Acquired Immune Deficiency Syndromes 35:3, 253-260
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Ronald T. Ackermann, Paris Roach, David G. Marrero. (2004) Good Diabetes Care. Medical Care 42:2, 99-101
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Schroeder , Steven A. , . (2004) Tobacco Control in the Wake of the 1998 Master Settlement Agreement. New England Journal of Medicine 350:3, 293-301
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Fisher , Elliott S. , . (2003) Medical Care — Is More Always Better?. New England Journal of Medicine 349:17, 1665-1667
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(2003) The Quality of Care in the Veterans Affairs Health Care System. New England Journal of Medicine 349:11, 1093-1094
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Jencks , Stephen , . (2003) The Right Care. New England Journal of Medicine 348:22, 2251-2252
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