INR targets and site-level anticoagulation control: results from the Veterans AffaiRs Study to Improve Anticoagulation (VARIA).

BACKGROUND: Not all clinicians target the same International Normalized Ratio (INR) for patients with a guideline-recommended target range of 2-3. A patient's mean INR value suggests the INR that was actually targeted. We hypothesized that sites would vary by mean INR, and that sites of care with mean values nearest to 2.5 would achieve better anticoagulation control, as measured by per cent time in therapeutic range (TTR). OBJECTIVES: To examine variations among sites in mean INR and the relationship with anticoagulation control in an integrated system of care. PATIENTS/METHODS: We studied 103,897 patients receiving oral anticoagulation with an expected INR target between 2 and 3 at 100 Veterans Health Administration (VA) sites from 1 October 2006 to 30 September 2008. Key site-level variables were: proportion near 2.5 (that is, percentage of patients with mean INR between 2.3 and 2.7) and mean risk-adjusted TTR. RESULTS: Site mean INR ranged from 2.22 to 2.89; proportion near 2.5, from 30 to 64%. Sites' proportions of patients near 2.5, below 2.3 and above 2.7 were consistent from year to year. A 10 percentage point increase in the proportion near 2.5 predicted a 3.8 percentage point increase in risk-adjusted TTR (P < 0.001). CONCLUSIONS: Proportion of patients with mean INR near 2.5 is a site-level 'signature' of care and an implicit measure of targeted INR. This proportion varies by site and is strongly associated with site-level TTR. Our study suggests that sites wishing to improve TTR, and thereby improve patient outcomes, should avoid the explicit or implicit pursuit of non-standard INR targets.

Patient characteristics associated with oral anticoagulation control: results of the Veterans AffaiRs Study to Improve Anticoagulation (VARIA).

BACKGROUND: In patients receiving oral anticoagulation, improved control can reduce adverse outcomes such as stroke and major hemorrhage. However, little is known about patient-level predictors of anticoagulation control. OBJECTIVES: To identify patient-level predictors of oral anticoagulation control in the outpatient setting. PATIENTS/METHODS: We studied 124,619 patients who received oral anticoagulation from the Veterans Health Administration from October 2006 to September 2008. The outcome was anticoagulation control, summarized using percentage of time in therapeutic International Normalized Ratio range (TTR). Data were divided into inception (first 6 months of therapy; 39,447 patients) and experienced (any time thereafter; 104,505 patients). Patient-level predictors of TTR were examined by multivariable regression. RESULTS: Mean TTRs were 48% for inception management and 61% for experienced management. During inception, important predictors of TTR included hospitalizations (the expected TTR was 7.3% lower for those with two or more hospitalizations than for the non-hospitalized), receipt of more medications (16 or more medications predicted a 4.3% lower than for patients with 0-7 medications), alcohol abuse (-4.6%), cancer (-3.1%), and bipolar disorder (-2.9%). During the experienced period, important predictors of TTR included hospitalizations (four or more hospitalizations predicted 9.4% lower TTR), more medications (16 or more medications predicted 5.1% lower TTR), alcohol abuse (-5.4%), female sex (- 2.9%), cancer (-2.7%), dementia (-2.6%), non-alcohol substance abuse (-2.4%), and chronic liver disease (-2.3%). CONCLUSIONS: Some patients receiving oral anticoagulation therapy are more challenging to maintain within the therapeutic range than others. Our findings can be used to identify patients who require closer attention or innovative management strategies to maximize benefit and minimize harm from oral anticoagulation therapy.

Emergency contraception: prescribing practices of general internists compared with other primary care physicians.

Primary care physicians of all specialties should be familiar with prescribing emergency contraception (EC). We conducted a mail survey of 282 randomly sampled physicians in general internal medicine (31%), family medicine (34%) and obstetrics-gynecology (35%). Experience with prescribing EC significantly differed by specialty (63% of general internists, 76% of family physicians, and 94% of obstetrician-gynecologists, p < 0.0001). Controlling for year of graduation, gender, religion and practice location, family physicians [adjusted odds ratio (OR): 2.5, 95% confidence interval (CI): 1.2-5.2] and obstetrician-gynecologists (adjusted OR: 11.2, 95% CI: 4.0-31.3) were still significantly more likely to have ever prescribed EC than general internists. Efforts to increase awareness and knowledge of EC should be aimed at general internists since they provide primary care for many reproductive age women.

Evaluation of a risk-adjustment model for pressure ulcer development using the Minimum Data Set.

OBJECTIVE: To validate a previously derived risk-adjustment model for pressure ulcer development in a separate sample of nursing home residents and to determine the extent to which use of this model affects judgments of nursing home performance. DESIGN: Retrospective observational study using Minimum Data Set (MDS) data from 1998. SETTING: A large, for-profit, nursing home chain. PARTICIPANTS: Twenty-nine thousand and forty observations were made on 13,457 nursing home residents who were without a pressure ulcer on an index assessment. MEASUREMENTS: We used logistic regression in our validation sample to calculate new coefficients for the 17 previously identified predictors of pressure ulcer development. Coefficients from this new sample were compared with those previously derived. Expected rates of pressure ulcer development were determined for 108 nursing homes. Unadjusted and risk-adjusted rates of pressure ulcer development from these homes were also calculated and outlier identification using these two approaches was compared. RESULTS: Predictors of pressure ulcer development in the derivation sample generally showed similar effects in the validation sample. The model c-statistic was also unchanged at 0.73, but it was not calibrated as well in the validation sample. On applying the model to the nursing homes, expected rates of ulcer development ranged from 1.1% to 3.2% (P <.001). The observed rates ranged from 0% to 12.1% (P <.001). There were 12 outliers using unadjusted rates and 15 using adjusted performance. Ten nursing homes were identified as outliers using both approaches. CONCLUSIONS: Our MDS risk-adjustment model for pressure ulcer development performed well in this new sample. Nursing homes differ significantly in their expected rates of pressure ulcer development. Outlier identification also differs depending on whether unadjusted or risk-adjusted performance is evaluated.

Deriving a risk-adjustment model for pressure ulcer development using the Minimum Data Set.

OBJECTIVE: To use the Minimum Data Set (MDS) to derive a risk-adjustment model for pressure ulcer development that may be used in assessing the quality of nursing home care. DESIGN: Perspective observational study using MDS data from 1997. SETTING: A large, for-profit, nursing home chain. PARTICIPANTS: Our unit of analysis was 39,649 observations made on 14,607 nursing home residents who were without a stage 2 or larger pressure ulcer on an index assessment. MEASUREMENTS: Pressure ulcer status was determined at an outcome assessment approximately 90 days after an index assessment. Potential predictors of pressure ulcer development were examined for bivariate associations, contributing to the development of a multivariate logistic regression model. RESULTS: A stage 2 or larger pressure ulcer developed in 2.3% of the observations. Seventeen resident characteristics were found to be associated with pressure ulcer development. These included dependence in mobility and transferring, diabetes mellitus, peripheral vascular disease, urinary incontinence, lower body mass index, and end-stage disease. A risk-adjustment model based on these characteristics was well calibrated and able to discriminate among residents with different levels of risk for ulcer development (model c-statistic = 0.73). CONCLUSION: A clinically credible risk-adjustment model with good performance properties can be developed using the MDS. This model may be useful in profiling nursing homes on their rate of pressure ulcer development.

Fellowship training and career outcomes for primary care physician-faculty.

PURPOSE: To examine associations between fellowship training and career outcomes among primary care physician-faculty. METHOD: A total of 821 full-time primary care physician-faculty from 24 representative U.S. medical schools were surveyed using a self-administered questionnaire. Primary outcomes were recent grant submissions and funding, career referred publications, rank, and salary. Findings were adjusted for demographic and professional characteristics. RESULTS: Of the 500 respondents, 234 of the physician-faculty had completed a fellowship and 266 had not. Fellowship-trained physician-faculty were more than four times as likely to have submitted a grant proposal and to have had a grant funded (both p < 0.0001) than were physician-faculty without fellowship training. They were also more likely to have had any refereed publications (OR 3.8, p < 0.0001) and to have achieved senior academic rank (OR = 1.9, p = 0.02). Among those with fellowship experience, the amount of research training was important. Those with at least one year of research experience in their fellowship program had more grant proposal submissions (OR = 1.9, p = 0.02), more grants funded (OR = 2.9, p = 0.0003), more publications (OR = 2.4, p = 0.02), and higher academic ranks (OR 2.3, p = 0.03) than did those with less research training. Salaries were similar in every comparison. CONCLUSION: Fellowship-trained primary care physician-faculty were more productive researchers and were more likely to have achieved senior academic rank than were their no-fellowship-trained peers. Even among physician-faculty with fellowship experience, more research training was associated with higher productivity and rank. Salaries were not affected by training experience.

Clinical practice guidelines in the nursing home.

Clinical practice guidelines are an important tool for improving quality of care. This study determined whether and how guidelines are being used in nursing homes. We surveyed staff at 36 Department of Veterans Affairs (VA) nursing homes. Employees were asked whether they were familiar with guidelines as well as whether 5 specific guidelines had been read, were available, and had been adopted. Among 1065 respondents (60% of those surveyed), 79% reported familiarity with guidelines. The proportion of staff at a facility reporting adoption was generally less than 50%. Those nursing homes in which a high percentage of the staff reported adoption of one guideline were more likely to have adopted other guidelines. However, staff were not more likely to report adoption of a specific guideline when the nurse manager stated that it was adopted. We conclude that staff at VA nursing homes are familiar with guidelines. Guideline adoption at individual nursing homes, however, is not a systematic process involving the entire staff.

Measuring population health risks using inpatient diagnoses and outpatient pharmacy data.

OBJECTIVE: To examine and evaluate models that use inpatient encounter data and outpatient pharmacy claims data to predict future health care expenditures. DATA SOURCES/STUDY DESIGN: The study group was the privately insured under-65 population in the 1997 and 1998 MEDSTAT Market Scan (R) Research Database. Pharmacy and disease profiles, created from pharmacy claims and inpatient encounter data, respectively, were used separately and in combination to predict each individual's subsequent-year health care expenditures. PRINCIPAL FINDINGS: The inpatient-diagnosis model predicts well for the low-hospitalization under-65 populations, explaining 8.4 percent of future individual total cost variation. The pharmacy-based and in patient-diagnosis models perform comparably overall, with pharmacy data better able to split off a group of truly low-cost people and inpatient diagnoses better able to find a small group with extremely high future costs. The model th at uses both kinds of data performed significantly better than either model alone, with an R2 value of 11.8 percent . CONCLUSIONS: Comprehensive pharmacy and inpatient diagnosis classification systems are each helpful for discriminating among people according to their expected costs. Properly organized and in combination these data are promising predictors of future costs.

Finding future high-cost cases: comparing prior cost versus diagnosis-based methods.

OBJECTIVE: To examine the value of two kinds of patient-level dat a (cost and diagnoses) for identifying a very small subgroup of a general population with high future costs that may be mitigated with medical management. DATA SOURCES: The study used the MEDSTAT Market Scan (R) Research Database, consisting of inpatient and ambulatory health care encounter records for individuals covered by employee- sponsored benefit plans during 1997 and 1998. STUDY DESIGN: Prior cost and a diagnostic cost group (DCG) risk model were each used with 1997 data to identify 0.5-percent-sized "top groups" of people most likely to be expensive in 1998. We compared the distributions of people, cost, and diseases commonly targeted for disease management for people in the two top groups and, as a bench mark, in the full population. PRINCIPAL FINDINGS: the prior cost- and DCG-identified top groups overlapped by only 38 percent. Each top group consisted of people with high year-two costs and high rates of diabetes, heart failure, major lung disease, and depression. The DCG top group identified people who are both somewhat more expensive ($27,292 vs. $25,981) and more likely ( 49.4 percent vs. 43.8 percent ) th an the prior-cost top group to have at least one of the diseases commonly targeted for disease management. The overlap group average cost was $46,219. CONCLUSIONS: Diagnosis-based risk models are at least as powerful as prior cost for identifying people who will be expensive. Combined cost and diagnostic data are even more powerful and more operation ally useful, especially because the diagnostic information identifies the medical problems that may be managed to achieve better out comes and lower costs.

Mammography use, breast cancer stage at diagnosis, and survival among older women.

BACKGROUND: Women age 65 years and older account for most newly diagnosed breast cancers and deaths from breast cancer. Yet, older women are least likely to undergo mammography, perhaps because mammography's value is less well demonstrated in older women. OBJECTIVE: To investigate the relationship between prior mammography use, cancer stage at diagnosis, and breast cancer mortality among older women with breast cancer. DESIGN: Retrospective cohort study using the Linked Medicare-Tumor Registry Database. SETTING: Population-based data from three geographic areas included in the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. PARTICIPANTS: Women aged 67 and older diagnosed with a first primary breast cancer, from 1987 to 1993, residing in Connecticut, metropolitan Atlanta, Georgia, or Seattle-Puget Sound, Washington. MEASUREMENTS: Medicare claims were reviewed and women were classified according to their mammography use during the 2 years before diagnosis: nonusers (no prior mammograms), regular users (at least two mammograms at least 10 months apart), or peri-diagnosis users (only mammogram(s) within 3 months before diagnosis). Mammography utilization was linked with SEER data to determine stage at diagnosis and cause of death. Our main outcome variables were (1) stage at diagnosis, classified as early (in situ/Stage I) or late (Stage II or greater), and (2) breast cancer mortality, measured from diagnosis until death from breast cancer or end of the follow-up period (December 31, 1994). RESULTS: Older women who were nonusers of mammography were diagnosed with breast cancer at Stage II or greater more often than regular users (adjusted odds ratio (OR), 3.12; 95% confidence interval (CI), 2.74-3.58). This association was present within each age group studied. Nonusers of mammography were at significantly greater risk of dying from their breast cancer than regular users for all women (adjusted hazard ratio (HR), 3.38; 95% CI, 2.65-4.32) and for women within each age group. Even assuming a lead time of 1.25 years, nonusers of mammography continued to be at increased risk of dying from breast cancer. Our findings remained significant for all women and for the two youngest age groups (67-74 years, 75-85 years), although the benefit was no longer statistically significant for the oldest women (85 years and older). CONCLUSIONS: Older women who undergo regular mammography are diagnosed with an earlier stage of disease and are less likely to die from their disease. These data support the use of regular mammography in older women and suggest that mammography can reduce breast cancer mortality in older women, even for women age 85 and older.

Faculty perceptions of gender discrimination and sexual harassment in academic medicine.

BACKGROUND: Gender-based discrimination and sexual harassment are common in medical practice and may be even more prevalent in academic medicine. OBJECTIVE: To examine the prevalence of gender-based discrimination and sexual harassment among medical school faculty and the associations of gender-based discrimination with number of publications, career satisfaction, and perceptions of career advancement. DESIGN: A self-administered mailed questionnaire of U.S. medical school faculty that covered a broad range of topics relating to academic life. SETTING: 24 randomly selected medical schools in the contiguous United States. PARTICIPANTS: A random sample of 3332 full-time faculty, stratified by specialty, graduation cohort, and sex. MEASUREMENTS: Prevalence of self-reported experiences of discrimination and harassment, number of peer-reviewed publications, career satisfaction, and perception of career advancement. RESULTS: Female faculty were more than 2.5 times more likely than male faculty to perceive gender-based discrimination in the academic environment (P < 0.001). Among women, rates of reported discrimination ranged from 47% for the youngest faculty to 70% for the oldest faculty. Women who reported experiencing negative gender bias had similar productivity but lower career satisfaction scores than did other women (P< 0.001). About half of female faculty but few male faculty experienced some form of sexual harassment. These experiences were similarly prevalent across the institutions in the sample and in all regions of the United States. Female faculty who reported being sexually harassed perceived gender-specific bias in the academic environment more often than did other women (80% compared with 61 %) and more often reported experiencing gender bias in professional advancement (72% compared with 47%). Publications, career satisfaction, and professional confidence were not affected by sexual harassment, and self-assessed career advancement was only marginally lower for female faculty who had experienced sexual harassment (P = 0.06). CONCLUSION: Despite substantial increases in the number of female faculty, reports of gender-based discrimination and sexual harassment remain common.

Intensive care unit use and mortality in the elderly.

OBJECTIVE: To examine utilization and outcomes of intensive care unit (ICU) use for the elderly in the United States. DESIGN: We used 1992 data from the Health Care Financing Administration to examine ICU utilization and mortality by age and admission reason for hospitalizations of elderly Medicare beneficiaries. MAIN RESULTS: Use of the ICU was least likely for the oldest elderly overall (85+ years, 21.1% of admissions involved ICU; 75-84 years, 27.9%; 65-74 years, 29.7%), but more likely during surgical admissions. Eighty-three percent of the Medicare patients who received intensive care survived at least 90 days. Of the oldest elderly, 74% survived. Even among the 10% most expensive ICU hospitalizations, 77% of all patients and 62% of those 85 years and older survived at least 90 days. CONCLUSIONS: The likelihood of ICU use among these elderly decreased with age, especially among those 85 years or older. Diagnostic mix importantly influenced ICU use by age. The great majority of the elderly, including those 85 years and older and those receiving the most expensive ICU care, survived at least 90 days.

Specialty choices, compensation, and career satisfaction of underrepresented minority faculty in academic medicine.

PURPOSE: Despite efforts to increase the numbers of underrepresented minorities (URMs), only 3.9% of medical school faculty are URMs. The authors compared the specialty choices, compensation, and career satisfaction of minority faculty with those of their majority counterparts to determine whether there were differences that might affect the recruitment and retention of minority faculty. METHOD: In 1995, the authors mailed a self-administered survey to a stratified random sample of 3,013 eligible full-time salaried faculty in 24 randomly selected medical schools. Those schools, which had at least 200 faculty, did not include the Puerto Rican or historically black medical schools. RESULTS: Of the eligible faculty surveyed, 1,807 (60%) responded; 1,463 were majority faculty, 195 were URM faculty, and 149 were other-minority faculty. Similar proportions of the three groups were in the primary care specialties. Only 11% of the URM respondents were in basic science departments. There was no significant difference in adjusted mean compensation between majority, URM, and other-minority faculty. However, URM faculty were significantly less satisfied with their careers (adjusted scores: 60 versus > 65; p = .001) and more often considered leaving academic medicine within five years (58% versus < 45%). CONCLUSION: Given the demographic changes of the U.S. population, these issues should be addressed by deans and department heads in order to enhance recruitment and facilitate retention of URM faculty in academic medicine.

Using diagnoses to describe populations and predict costs.

The Diagnostic Cost Group Hierarchical Condition Category (DCG/HCC) payment models summarize the health care problems and predict the future health care costs of populations. These models use the diagnoses generated during patient encounters with the medical delivery system to infer which medical problems are present. Patient demographics and diagnostic profiles are, in turn, used to predict costs. We describe the logic, structure, coefficients and performance of DCG/HCC models, as developed and validated on three important data bases (privately insured, Medicaid, and Medicare) with more than 1 million people each.

Principal inpatient diagnostic cost group model for Medicare risk adjustment.

The Balanced Budget Act (BBA) of 1997 required HCFA to implement health-status-based risk adjustment for Medicare capitation payments for managed care plans by January 1, 2000. In support of this mandate, HCFA has been collecting inpatient encounter data from health plans since 1997. These data include diagnoses and other information that can be used to identify chronic medical problems that contribute to higher costs, so that health plans can be paid more when they care for sicker patients. In this article, the authors describe the risk-adjustment model HCFA is implementing in the year 2000, known as the Principal Inpatient Diagnostic Cost Group (PIPDCG) model.

Pressure ulcer development in the VA: characteristics of nursing homes providing best care.

This study identifies structural characteristics of VA nursing homes that are associated with the best patient outcomes. We evaluated risk-adjusted rates of pressure ulcer development in VA nursing homes and related these rates to facility size, staffing patterns, teaching nursing home status, and rural versus urban locale. Higher rates of pressure ulcer development were seen among urban teaching nursing homes and among nursing homes associated with both larger and smaller VA hospitals. Staffing patterns had a complex association with pressure ulcer development, and smaller nursing home staffs were not clearly associated with higher rates. For multivariate modeling, only hospital size and staffing remained significant independent predictors of pressure ulcer development. These results emphasize that while structural characteristics of VA nursing homes can provide insights about care, improving the quality of care in this setting will require a much greater understanding of how nursing homes are organized to meet patient needs.

Functional status outcomes for assessment of quality in long-term care.

OBJECTIVE: Although decline in functional status has been recommended as a quality indicator in long-term care, studies examining its use provide no consensus on which definition of functional status outcome is the most appropriate to use for quality assessment. We examined whether different definitions of decline in functional status affect judgments of quality of care provided in Department of Veterans Affairs (VA) long-term care facilities. METHODS: Six measures of functional status outcome that are prominent in the literature were considered. The sample consisted of 15 409 individuals who resided in VA long-term care facilities at any time from 4/1/95 to 10/1/95. Activities of daily living variables were used to generate measures of functional status. Differences between residents' baseline and semi-annual assessments were considered and facility performance using the various definitions of functional status were described. RESULTS: The percentage of residents seen as declining in functional status ranged from 7.7% to 31.5%, depending upon the definition applied. The definition of functional status also affected rankings, z-scores, and 'outlier' status for facilities. CONCLUSION: Judgments of facility performance are sensitive to how outcome measures are defined. Careful selection of an appropriate definition of functional status outcome is needed when assessing quality in long-term care.

Patterns of use of common major procedures in medical care of older adults.

OBJECTIVES: We analyzed Medicare data to determine the influence of age, mortality during the study year, and high individual Medicare costs on the frequency of hospitalization for the most common major procedures and for general medical diagnoses. METHODS: We used 1992 Medicare data to classify the most frequent diagnosis related groups (DRGs), representing one-half of all admissions, as procedural or general medical. We studied the frequency of hospitalization for the most common procedures (bowel surgery, cardiovascular procedures, hip and femur surgery) and for general medical care in the entire Medicare population, in persons aged 65 to 74, 75 to 84, and 85 or older, in those who died, and in the 5% of persons whose annual Medicare costs were the highest. RESULTS: In the entire population, common procedures accounted for 21% of the most frequent DRGs. Among those who died, the procedures were performed in only 8% of admissions. In the 5% of persons with the highest Medicare costs, 28% of admissions involved procedures. Admissions for cardiovascular procedures and for cancer chemotherapy decreased with age and were infrequent in persons 85 years and older. Hip and femur procedures increased with age and accounted for 70% of the common procedures in persons 85 years and older. CONCLUSIONS: The most common major procedures account for a minority of hospitalizations of persons more than age 65, of persons 85 and older, of those who died, and of persons with the highest Medicare expenditures. Most hospitalizations are for general medical care. Major procedures appear to be used with restraint in the very old and in persons in their last year of life.

How much better can we predict dialysis patient survival using clinical data?

OBJECTIVE: To use three approaches to compare dialysis survival prediction based on variables included in the Standardized Mortality Ratio (SMR) with prediction based on a clinically enriched set of variables. DATA SOURCE: The United States Renal Data System Case Mix Severity data set containing demographic, clinical, functional, nutritional, and treatment details about a random sample of 4,797 adult dialysis patients from 291 treatment units, incident to dialysis in 1986 and 1987. STUDY DESIGN: This observational study uses baseline patient characteristics in two proportional hazards survival models: the BASE model incorporates age, race, sex, and cause of end-stage renal disease (ESRD); the FULL model includes these and additional clinical information. We compare each model's performance using (1) the c-index, (2) observed median survival in strata of predicted risk, and (3) predicted survival for patients with different characteristics. PRINCIPAL FINDINGS: The FULL model's c-index (0.709, 0.708-0.711) is significantly higher than that of the BASE model (0.675, 0.675-0.676), indicating better discrimination. Second, the sickest patients identified by the FULL model were in fact sicker than those identified as sickest by the BASE model, with observed median survival of 451 days versus 524. Third, survival predictions for sickest patients using the FULL model are one-third shorter than those based on the BASE model. CONCLUSIONS: The model with more detailed clinical information predicted survival better than the BASE model. Clinical characteristics enable more accurate predictions, particularly for the sickest patients. Thus, clinical characteristics should be considered when making quality assessments for dialysis patients.

Variation in hospital rates of intraaortic balloon pump use in coronary artery bypass operations.

BACKGROUND: Little is known about regional patterns of intraaortic balloon pump (IABP) use in coronary artery bypass graft (CABG) operations. Our objectives were (1) to identify clinical variables associated with IABP use, and (2) to examine risk-adjusted rates of IABP use for 12 Massachusetts hospitals performing CABG operations. METHODS: We used hospital discharge data to identify 6944 CABG surgical cases. Logistic regression was used to identify clinical variables associated with IABP use, and the resulting multivariate model was then used to risk adjust hospital rates of IABP use. RESULTS: The IABP was used in 13.4% of the CABG surgical cases. The clinical variables independently associated with IABP use were cardiogenic shock, same admission angioplasty, prior CABG operation, cardiac arrest, congestive heart failure, recent myocardial infarction, and urgent admission status. Risk-adjusted rates of IABP use varied widely across hospitals from 7.8% to 20.8% (p < 0.0001). CONCLUSIONS: Hospital rates of IABP use vary considerably in Massachusetts. This practice variation may be related to the persistent uncertainty regarding the precise clinical indications for the IABP in this patient population.