Longer hospitalization at Veterans Administration hospitals than private hospitals. Verification and additional insights

Adrenalectomy in Veterans Affairs and Selected University Medical Centers: Results of the Patient Safety in Surgery Study

BACKGROUND

Data from the Patient Safety in Surgery Study were used to compare preoperative risk factors, intraoperative variables, and surgical outcomes of adrenalectomy procedures performed in 81 Veterans Affairs (VA) hospitals with those performed in 14 private-sector (PS) hospitals.

STUDY DESIGN

This study is a retrospective review of prospectively collected data on all patients undergoing adrenalectomy in the VA and PS for fiscal years 2002 through 2004. Bivariate analysis compared VA and PS preoperative risk factors, intraoperative variables, and 30-day morbidity and mortality. Regression risk-adjustment analysis was used to compare 30-day postoperative morbidity in the VA and PS.

RESULTS

During the 3 years studied, 178 VA patients and 371 PS patients underwent adrenalectomy procedures with a median per site of 2 (range 1-9) and 21 (range 8-70) procedures per VA and PS hospital, respectively. The VA patients had considerably more comorbidities than PS patients. The unadjusted 30-day morbidity rate was significantly higher in VA (16.29%) than PS (6.74%) hospitals (p = 0.0003); after controlling for the higher rate of comorbidities, the adjusted odds ratio for morbidity in the VA versus the PS hospitals was no longer significant (odds ratio = 1.328; 95% CI, 0.488-3.613). Unadjusted mortality rate was VA 2.81%, PS 0.27%, p = 0.0074. The low event rate overall precluded risk adjustment for mortality.

CONCLUSIONS

The VA adrenalectomy population has more preoperative risk factors and substantially higher unadjusted 30-day postoperative morbidity and mortality rates than the PS population. After risk adjustment, there is no significant difference in morbidity between the VA and the PS. A larger study population is needed to compare risk-adjusted mortality between the VA and PS.

What effect does physician "profiling" have on inpatient physician satisfaction and hospital length of stay?

Background

2002 marked the first time that the rate of hospital spending in the United States outpaced the overall health care spending rate of growth since 1991. As hospital spending continues to grow and as reimbursement for hospital expenses has moved towards the prospective payment system, there is still increasing pressure to reduce costs. Hospitals have a major incentive to decrease resource utilization, including hospital length of stay. We evaluated whether physician profiling affects physician satisfaction and hospital length of stay, and assessed physicians' views concerning hospital cost containment and the quality of care they provide.

Methods

To determine if physician profiling affects hospital length of stay and/or physician satisfaction, we used quasi-experimental with before-versus-after and intervention-versus-control comparisons of length of stay data collected at an intervention and six control hospitals. Intervention hospital physicians were informed their length of stay would be compared to their peers and were given a questionnaire assessing their experience.

Results

Nearly half of attending pre-profiled physicians felt negative about the possibility of being profiled, while less than one-third of profiled physicians reported feeling negative about having been profiled. Nearly all physicians greatly enjoyed their ward month. Length of stay at the profiled site decreased by an additional 1/3 of a day in the profiling year, compared to the non-profiled sites (p < 0.001).

Conclusion

A relatively non-instrusive profiling intervention modestly reduced length of stay without adversely affecting physician satisfaction.

Do medical house officers value the health of veterans differently from the health of non-veterans?

Background

Little information is available regarding medical residents' perceptions of patients' health-related quality of life. Patients cared for by residents have been shown to receive differing patterns of care at Veterans Affairs facilities than at community or university settings. We therefore examined: 1) how resident physicians value the health of patients; 2) whether values differ if the patient is described as a veteran; and 3) whether residency-associated variables impact values.

Methods

All medicine residents in a teaching hospital were asked to watch a digital video of an actor depicting a 72-year-old patient with mild-moderate congestive heart failure. Residents were randomized to 2 groups: in one group, the patient was described as a veteran of the Korean War, and in the other, he was referred to only as a male. The respondents assessed the patient's health state using 4 measures: rating scale (RS), time tradeoff (TTO), standard gamble (SG), and willingness to pay (WTP). We also ascertained residents' demographics, risk attitudes, residency program type, post-graduate year level, current rotation, experience in a Veterans Affairs hospital, and how many days it had been since they were last on call. We performed univariate and multivariable analyses using the RS, TTO, SG and WTP as dependent variables.

Results

Eighty-one residents (89.0% of eligible) participated, with 36 (44.4%) viewing the video of the veteran and 45 (55.6%) viewing the video of the non-veteran. Their mean (SD) age was 28.7 (3.1) years; 51.3% were female; and 67.5% were white. There were no differences in residents' characteristics or in RS, TTO, SG and WTP scores between the veteran and non-veteran groups. The mean RS score was 0.60 (0.14); the mean TTO score was 0.80 (0.20); the mean SG score was 0.91 (0.10); and the median (25th, 75th percentile) WTP was $10,000 ($7600, $20,000) per year. In multivariable analyses, being a resident in the categorical program was associated with assigning higher RS scores, but no residency-associated variables were associated with the TTO, SG or WTP scores.

Conclusion

Physicians in training appear not to be biased either in favor of or against military veterans when judging the value of a patient's health.

Differences in length of stay in Veterans Health Administration and other United States hospitals: is the gap closing?

OBJECTIVES

Compare risk-adjusted length of stay (LOS) in VA and other United States (non-VA) hospitals and determine if relative differences in LOS have changed in recent years.

RESEARCH DESIGN

Retrospective cohort study.

PATIENTS

Patients with ten common medical diagnoses admitted to all VA hospitals and to non-VA hospitals included in the National Hospital Discharge Survey (NHDS) during 1996 through 1999.

DATA

Comparable data elements were obtained from VA administrative databases and the NHDS. LOS was adjusted for age, gender, marital status, and comorbidity. Comorbidity was assessed using a validated methodology that considers 30 conditions.

RESULTS

Unadjusted mean LOS was longer in VA than non-VA patient for all 4 years, in aggregate (7.1 vs. 4.9 days, respectively; P < 0.001), and for each year individually. However, the difference in mean LOS in VA and non-VA patients declined from 2.9 days in 1996 to 1.6 days in 1999. LOS in VA patients remained longer (P < 0.001) in linear regression analyses, adjusting for demographics and comorbidity. However, the difference in LOS declined from 28.5% (95% CI, 28.1%-29.0%) in 1996 to 17.0% (95% CI, 16.6%-17.4%) in 1999. These results were similar in analyses of individual geographic regions.

CONCLUSIONS

Risk-adjusted LOS was longer in VA hospitals than in other United States hospitals. However, differences in LOS narrowed between 1996 and 1999. These findings suggest that changes in the organization and delivery of VA health care in the mid-1990s may be closing the gap between the VA and other healthcare systems in hospital utilization.

Mortality and length of stay in a veterans affairs hospital and private sector hospitals serving a common market

OBJECTIVE

To compare severity-adjusted in-hospital mortality and length of stay (LOS) in a Veterans Administration (VA) hospital and private sector hospitals serving the same health care market.

DESIGN

Retrospective cohort study.

SETTING

A large VA hospital and 27 private sector hospitals in the same metropolitan area.

PATIENTS

Consecutive VA (N = 1,960) and private sector (N = 157,147) admissions in 1994 to 1995 with 9 high-volume diagnoses.

MEASUREMENTS

Severity of illness was measured using validated multivariable models that were based on data abstracted from medical records. Outcomes were adjusted for severity and compared in VA and private sector patients using multiple logistic or linear regression analysis.

MAIN RESULTS

Unadjusted mortality was similar in VA and private sector patients (5.0% vs 5.6%, respectively; P =.26), although mean LOS was longer in VA patients (12.7 vs 7.0 days; P <.001). Adjusting for severity, the odds of death in VA patients was similar (odds ratio [OR] 1.07; 95% confidence interval [95% CI], 0.74 to 1.54; P =.73). However, a larger proportion of deaths in VA patients occurred later during hospitalization (P <.001), and the odds of death in VA patients were actually lower (P <.05) in analyses limited to deaths during the first 7 (OR, 0.56) or 14 (OR, 0.63) days. Adjusted LOS was longer (P <.001) in VA patients for all 9 diagnoses.

CONCLUSIONS

If the current findings generalizable to other markets, hospital mortality, a widely used performance measure, may be similar or lower in VA and private sector hospitals serving the same markets. The longer LOS of VA patients may reflect differences in practice patterns and may be an important source of bias in comparisons of VA and private sector hospitals.

In-hospital mortality following coronary artery bypass graft surgery in Veterans Health Administration and private sector hospitals

OBJECTIVES

Compare severity-adjusted in-hospital mortality in patients undergoing coronary artery bypass graft surgery (CABG) in VA and private sector hospitals in two geographic regions.

RESEARCH DESIGN

Retrospective Cohort Study.

SUBJECTS

Consecutive male patients undergoing CABG from October 1993 to December 1996 in: 43 VA hospitals with cardiac surgery programs (n = 19,266); 32 hospitals in New York (NY) State (n = 44,247); and 10 hospitals in Northeast (NE) Ohio (n = 9696).

METHODS

Demographic and clinical data were abstracted from medical records. Logistic regression analysis identified 10 independent patient-level predictors (P <0.01) of in-hospital mortality: age, prior CABG, angioplasty before CABG, ejection fraction, diabetes, peripheral vascular disease, congestive heart failure (CHF), cerebrovascular disease, renal insufficiency, and chronic obstructive pulmonary disease (COPD).

RESULTS

Unadjusted mortality was higher in VA patients than in NY or NE Ohio patients (3.5% vs. 2.0%, and 2.2%, respectively). Mortality decreased (P <0.001) with increasing volume (3.6% in low [<500 cases], 3.0% in moderate [500-1000 cases], and 2.0% in high [>1000 cases] volume hospitals). Median volume was lower in VA than private sector hospitals (410 vs. 1520), and no VA hospitals were classified as high volume. Adjusting for patient-level predictors and volume, the odds of death was higher in VA patients, relative to private sector patients (OR, 1.34; 95% CI, 1.11-1.63; P <0.001). In stratified analyses, the odds of death in VA patients was similar in low volume hospitals (OR, 0.86; P = 0.39), but higher in moderate volume hospitals (OR, 1.50; P = 0.01).

CONCLUSIONS

VA hospitals had lower CABG volume than private sector hospitals in NY and NE Ohio, and higher in-hospital mortality. However, the difference in mortality was limited to moderate-volume hospitals. These findings suggest that hospital volume is an important modifier in comparisons of CABG mortality in VA and private sector hospitals. The higher mortality in VA hospitals may, in part, be caused by differences in surgical capacity and patient demand that lead to lower volume cardiac surgery programs.

Length of stay as a source of bias in comparing performance in VA and private sector facilities: lessons learned from a regional evaluation of intensive care outcomes

OBJECTIVES

Compare intensive care unit (ICU) mortality and length of stay (LOS) in a VA hospital and private sector hospitals and examine the impact of hospital utilization on mortality comparisons.

RESEARCH DESIGN

Retrospective cohort study.

SUBJECTS

Consecutive ICU admissions to a VA hospital (n = 1,142) and 27 private sector hospitals (n = 51,249) serving the same health care market in 1994 to 1995.

MEASURES

Mortality and ICU LOS were adjusted for severity of illness using a validated method that considers physiologic data from the first 24 hours of ICU admission. Mortality comparisons were made using two different multivariable techniques.

RESULTS

Unadjusted in-hospital mortality was higher in VA patients (14.5% vs. 12.0%; P = 0.01), as was hospital (28.3 vs. 11.3 days; P <0.001) and ICU (4.3 vs. 3.9 days; P <0.001) LOS. Using logistic regression to adjust for severity, the odds of death was similar in VA patients, relative to private sector patients (OR 1.16, 95% CI 0.93-1.44; P = 0.18). However, a higher proportion of VA deaths occurred after 21 hospital days (33% vs. 13%; P <0.001). Using proportional hazards regression and censoring patients at hospital discharge, the risk for death was lower in VA patients (hazard ratio 0.70; 95% CI 0.59-0.82; P <0.001). After adjusting for severity, differences in ICU LOS were no longer significant (P = 0.19).

CONCLUSIONS

Severity-adjusted mortality in ICU patients was lower in a VA hospital than in private sector hospitals in the same health care market, based on proportional hazards regression. This finding differed from logistic regression analysis, in which mortality was similar, suggesting that comparisons of hospital mortality between systems with different hospital utilization patterns may be biased if LOS is not considered. If generalizable to other markets, our findings further suggest that ICU outcomes are at least similar in VA hospitals.

Using severity-adjusted mortality to compare performance in a Veterans Affairs hospital and in private-sector hospitals

The objective of this study was to compare hospital mortality in Veterans Affairs (VA) and private-sector patients. The study included 5016 patients admitted to 1 VA hospital. Admission severity of illness was measured using a commercial methodology that was developed in a nationwide database of 850,000 patients from 111 private-sector hospitals. The method uses data abstracted from patients' medical records to predict the risk of death in individual patients, based on the normative database. Analyses compared actual and predicted mortality rates in VA patients. VA patients had higher (P < .05) severity of illness than private-sector patients. The observed mortality rate in VA patients was 4.0% and was similar (P = .09) to the predicted risk of death (4.4%; 95% confidence interval 4.0-4.9%). In subgroup analyses, actual and predicted mortality rates were similar in medical and surgical patients and in groups stratified according to severity of illness, except in the highest severity stratum, in which actual mortality was lower than predicted mortality (57% vs 73%; P < .001). We found that in-hospital mortality in 1 VA hospital and a nationwide sample of private-sector hospitals were similar, after adjusting for severity of illness. Although not directly generalizable to other VA hospitals, our findings nonetheless suggest that the quality of VA and private-sector care may be similar with respect to one important and widely used measure.

Variation in length of hospital stay in patients with community-acquired pneumonia: are shorter stays associated with worse medical outcomes?

PURPOSE

To assess the variation in length of stay for patients hospitalized with community-acquired pneumonia and to determine whether patients who are treated in hospitals with shorter mean stays have worse medical outcomes.

SUBJECTS AND METHODS

We prospectively studied a cohort of 1,188 adult patients with community-acquired pneumonia who had been admitted to one community and three university teaching hospitals. We compared patients' mean length of stay, mortality, hospital readmission, return to usual activities, return to work, and pneumonia-related symptoms among the four study hospitals. All outcomes were adjusted for baseline differences in severity of illness and comorbidity.

RESULTS

Adjusted interhospital differences in mean length of stay ranged from 0.9 to 2.3 days (P <0.001). When the risk of each medical outcome was compared between patients admitted to the hospital with the shortest length of stay and those admitted to longer stay hospitals, there were no differences in mortality [relative risk (RR) = 0.7; 95% CI, 0.3 to 1.7], hospital readmission (RR = 0.8; 95% CI, 0.5 to 1.2), return to usual activities (RR = 1.1; 95% CI, 0.9 to 1.3), or return to work (RR = 1.2; 95% CI, 0.8 to 2.0) during the first 14 days after discharge, or in the mean number of pneumonia-related symptoms 30 days after admission (P = 0.54).

CONCLUSIONS

We observed substantial interhospital variation in the lengths of stay for patients hospitalized with community-acquired pneumonia. The finding that medical outcomes were similar in patients admitted to the hospital with the shortest length of stay and those admitted to hospitals with longer mean lengths of stay suggests that hospitals with longer stays may be able to reduce the mean duration of hospitalization for this disease without adversely affecting patient outcomes.

Interpreting risk-adjusted length of stay patterns for VA hospitals

OBJECTIVES

The Veterans Health System must become more competitive with the private sector in terms of efficiency of care. Studies have shown significantly longer lengths-of-stay (LOS) in facilities operated by the Department of Veterans Affairs (VA) compared with private sector facilities. Most comparisons, however, have not controlled well for casemix differences or have involved small numbers of patients. The aims of this study were: (1) controlling for casemix, to accurately measure the degree by which average length of stay in Veterans Affairs facilities exceeds that of private sector hospitals and (2) to demonstrate a methodology with which individual VA facilities can identify clinical and demographic subgroups of patients associated with the higher length-of-stay averages.

METHODS

Subjects of the study were Veterans Health System patients hospitalized during 1991-1993 and veteran respondents to the 1991 National Hospital Discharge Survey. Hospitals' mean length of stay adjusted for patients' diagnosis related groups, severity, demographics, and travel distances were measured.

RESULTS

Veterans Affairs medical centers' average risk-adjusted length of stay was 36% higher (8.9 days compared with 6.5 days) than that of the private sector. For individual hospitals, relative length-of-stay efficiency typically varied by condition. Among 14 hospitals in the VA's midwest region, none were high risk-adjusted length-of-stay outliers in all conditions studied, and four were high outliers for some conditions and low outliers for others.

CONCLUSIONS

Controlling for differences in patient demographic and clinical factors, Veterans Affairs medical centers consumed significantly more days of care than private sector hospitals. Veterans Affairs medical centers will be able to improve efficiency by identifying specific subgroups of patients whose clinical treatment should be examined.

How different are VA nursing home residents?

OBJECTIVE

To identify similarities and differences between VA nursing home residents and other nursing home residents.

DESIGN

Comparison of cross-sectional data from three sources.

PARTICIPANTS

Residents of VA nursing homes nationwide in early October 1986 (n = 10,117); participants in the 1985 National Nursing Home Survey (NNHS) (n = 5,243); residents assessed in New York State nursing homes in 1988 (n = 94,840).

MEASURES

Age-stratified comparisons were made between the VA and the NNHS for gender, marital status, race, ethnicity, length of stay, activities of daily living (ADL) status, and selected diagnoses and conditions. Additionally, case-mix data were compared between the VA and the New York State populations.

MAIN RESULTS

The population of VA nursing homes is overwhelmingly men (96.1% versus 28.4% in the NNHS), and 31.2% of the VA population is under 65 years of age compared with 11.6% in the NNHS. Young ( < 65) VA residents are considerably more impaired in ADL than young residents in the NNHS; differences are less pronounced in those over 65 years old. VA case mix is slightly higher than the overall New York State population though the distribution of residents into categories in the Resource Utilization Groups, Version II system is somewhat different.

CONCLUSIONS

VA nursing homes contain a substantial distinctive population of seriously impaired residents under 65 years of age. Though differences exist, older VA residents have many similarities to residents of non-VA nursing homes and constitute a functionally impaired population that can provide insights into the status of nursing home residents generally.