Aggressive treatment style and surgical outcomes

Identifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA

OBJECTIVES

High-value care is providing high quality care at low cost; we sought to define hospital value and identify the characteristics of hospitals which provide high-value care.

DESIGN

Retrospective observational study.

SETTING

Acute care hospitals in the USA.

PARTICIPANTS

All Medicare beneficiaries with claims included in Center for Medicare & Medicaid Services Overall Star Ratings or in publicly available Medicare spending per beneficiary data.

PRIMARY AND SECONDARY OUTCOME MEASURES

Our primary outcome was value defined as the difference between Star Ratings quality score and Medicare spending; the secondary outcome was classification as a 4 or 5 star hospital with lowest quintile Medicare spending ('high value') or 1 or 2 star hospital with highest quintile spending ('low value').

RESULTS

Two thousand nine hundred and fourteen hospitals had both quality and spending data, and were included. The value score had a mean (SD) of 0.58 (1.79). A total of 286 hospitals were classified as high value; these represented 28.6% of 999 4 and 5 star hospitals and 46.8% of 611 low cost hospitals. A total of 258 hospitals were classified as low value; these represented 26.6% of 970 1 and 2 star hospitals and 49.3% of 523 high cost hospitals. In regression models ownership, non-teaching status, beds, urbanity, nurse to bed ratio, percentage of dual eligible Medicare patients and percentage of disproportionate share hospital payments were associated with the primary value score.

CONCLUSIONS

There are high quality hospitals that are not high value, and a number of factors are strongly associated with being low or high value. These findings can inform efforts of policymakers and hospitals to increase the value of care.

Is Discretionary Care Associated with Safety Among Medicare Beneficiaries Undergoing Spine Surgery?

BACKGROUND

Spine surgery and its corresponding costs have increased in recent years and are variable across geographic regions. Discretionary care is the component of spending variation that is independent of illness severity, age, and regional pricing. It is unknown whether greater discretionary care is associated with improved safety for patients undergoing spine surgery, as we would expect from value-based health care.

METHODS

We conducted an analysis of 5 spine surgery cohorts based on Medicare claims from 2013 to 2017. Patients were grouped into quintiles based on the Dartmouth Atlas End-of-Life Inpatient Care Index (EOL), reflecting regional spending variation attributed to discretionary care. Multivariable regression examined the association between discretionary care and safety measures while controlling for age, sex, race, comorbidity, and hospital features.

RESULTS

We observed a threefold to fourfold variation in 90-day episode-of-care cost across regions, depending on the cohort. Spine-specific spending was correlated with EOL quintile, confirming that spending variation is due more to discretionary care than it is to pricing, age, or illness severity. Greater spending across EOL quintiles was not associated with improved safety, and, in fact, was associated with poorer safety in some cohorts. For example, all-cause readmission was greater in the high-spending EOL quintile relative to the low-spending EOL quintile among the "fusion, except cervical" cohort (14.2% vs. 13.1%; OR = 1.10; 95% CI = 1.05 to 1.20), the "complex fusion" cohort (28.0% vs. 25.4%; OR = 1.15; 95% CI = 1.01 to 1.30), and the "cervical fusion" cohort (15.0% vs. 13.6%; OR = 1.12; 95% CI = 1.05 to 1.20).

CONCLUSIONS

Wide variation in spending was not explained by differences in illness severity, age, or pricing, and increased discretionary care did not enhance safety. These findings point to inefficient use of health-care resources, a potential focus of reform.

LEVEL OF EVIDENCE

Economic and Decision Analysis Level IV. See Instructions for Authors for a complete description of levels of evidence.

Trends in Regionalization of Care and Mortality For Patients Treated With Radical Cystectomy

BACKGROUND

Regionalization to higher volume centers has been proposed as a mechanism to improve short-term outcomes following complex surgery.

OBJECTIVE

The objective of this study was to assess trends in regionalization and mortality for patients undergoing radical cystectomy (RC).

RESEARCH DESIGN

An observational study of patients receiving RC in the United States from 2004 to 2013.

SUBJECTS

Data for patients receiving RC were extracted from the National Cancer Database.

MEASURES

The primary exposure was hospital volume; low-volume hospitals (LVH) included those with <5 RC/year and high-volume hospitals (HVH) were those with ≥30 RC/year. Trends in the volume were assessed, as were 30- and 90-day mortality. Cochrane-Armitage tests were performed for volume, and propensity score-weighted proportional hazard regression was used to assess mortality.

RESULTS

A total of 47,028 RC were performed in 1162 hospitals from 2004 to 2013. The proportion of RC at LVH declined from 29% to 17% (P<0.01), whereas that of HVH increased from 16% to 33% (P<0.01). Unadjusted 30- (P=0.02) and 90-day (P<0.001) mortality decreased, and the absolute decrease was greatest at LVH (4.8% vs. 2.6%, P=0.03), whereas rates for HVH remained stable (1.9% vs. 1.4%, P=0.34). Following risk-adjustment, relative to treatment at HVH, treatment at LVH was associated with increased 30-day (hazard ratio: 1.66, 95% CI: 1.53-1.80) and 90-day mortality (hazard ratio: 1.37, 95% confidence interval: 1.30-1.44).

CONCLUSIONS

Regionalization of RC to HVH was observed from 2004 to 2013. Treatment at LVH was associated with 66% and 33% relative increases in hazard of death at 30 and 90 days, respectively. These findings support the selective referral of complex cases to higher volume centers.

Geographic variation in inpatient costs for Acute Myocardial Infarction care: Insights from Italy

Geographic variations in healthcare expenditures have been widely reported within and between countries. Nevertheless, empirical evidence on the role of organizational factors and care systems in explaining these variations is still needed. This paper aims at assessing the regional differences in hospital spending for patients hospitalized for Acute Myocardial Infarction (AMI) in Tuscany and Lombardy regions (Italy), which rank high in terms of care quality and that have been, at least until 2016, characterized by quite different governance systems. Generalized linear models are performed to estimate index, 30-day and one-year hospitalization spending adjusted for baseline covariates. A two-part model is used to estimate 31-365 day expenditure. Adjusted hospital spending for AMI patients were significantly higher in Lombardy compared with Tuscany. In Lombardy, patients experienced higher re-hospitalizations in the 31-365 days and longer length of stays than in Tuscany. On the other hand, no significant regional differences in adjusted mortality rates at both acute and longer phases were found. Comparing two regional healthcare systems which mainly differ in both the reimbursement systems and the level of integration between hospital and community services provides insights into factors potentially contributing to regional variations in spending and, therefore, in areas for efficiency improvement.

Treatment for Rotator Cuff Tear Is Influenced by Demographics and Characteristics of the Area Where Patients Live

Background:

Atraumatic rotator cuff tear is a common orthopaedic complaint for people >60 years of age. Lack of evidence or consensus on appropriate treatment for this type of injury creates the potential for substantial discretion in treatment decisions. To our knowledge, no study has assessed the implications of this discretion on treatment patterns across the United States.

Methods:

All Medicare beneficiaries in the United States with a new magnetic resonance imaging (MRI)-confirmed atraumatic rotator cuff tear were identified with use of 2010 to 2012 Medicare administrative data and were categorized according to initial treatment (surgery, physical therapy, or watchful waiting). Treatment was modeled as a function of the clinical and demographic characteristics of each patient. Variation in treatment rates across hospital referral regions and the presence of area treatment signatures, representing the extent that treatment rates varied across hospital referral regions after controlling for patient characteristics, were assessed. Correlations between measures of area treatment signatures and measures of physician access in hospital referral regions were examined.

Results:

Among patients who were identified as having a new, symptomatic, MRI-confirmed atraumatic rotator cuff tear (n = 32,203), 19.8% were managed with initial surgery; 41.3%, with initial physical therapy; and 38.8%, with watchful waiting. Patients who were older, had more comorbidity, or were female, of non-white race, or dual-eligible for Medicaid were less likely to receive surgery (p < 0.0001). Black, dual-eligible females had 0.42-times (95% confidence interval [CI], 0.34 to 0.50) lower odds of surgery and 2.36-times (95% CI, 2.02 to 2.70) greater odds of watchful waiting. Covariate-adjusted odds of surgery varied dramatically across hospital referral regions; unadjusted surgery and physical therapy rates varied from 0% to 73% and from 6% to 74%, respectively. On average, patients in high-surgery areas were 62% more likely to receive surgery than the average patient with identical measured characteristics, and patients in low-surgery areas were half as likely to receive surgery than the average comparable patient. The supply of orthopaedic surgeons and the supply of physical therapists were associated with greater use of initial surgery and physical therapy, respectively.

Conclusions:

Patient characteristics had a significant influence on treatment for atraumatic rotator cuff tear but did not explain the wide-ranging variation in treatment rates across areas. Local-area physician supply and specialty mix were correlated with treatment, independent of the patient’s measured characteristics.

Here and Gone: Rapid Transfer From the General Care Floor to the PICU

BACKGROUND

Children admitted to the general care floor sometimes require acute escalation of care and rapid transfer (RT) to the PICU shortly after admission. In this study, we aim to investigate the characteristics of RTs and the impact RTs have on patient outcomes, including PICU length of stay (LOS), mortality, and emergency transfer defined as critical care interventions occurring within 1 hour on either side of transfer to the PICU.

METHODS

We conducted a 2-year, single-center, retrospective analysis including all patients admitted to the general care floor of a tertiary children's hospital that were subsequently transferred to the PICU, with attention to those transferred within 4 hours of admission, meeting criteria as RTs. Patient-level data and outcomes were tracked. Statistical summaries were stratified by RT or non-RT strata and between-strata comparisons were performed. Significant univariate factors were entered into a multivariate logistic regression model and reduced with statistical significance required for final model inclusion.

RESULTS

Of 450 patients with an unplanned PICU transfer, 105 (23.3%) experienced RTs. Significant factors in the reduced multivariate logistic regression model associated with decreased risk for RT were increased baseline Pediatric Overall Performance Category (P = .046) and PICU origin of admission (P = .012). RT patients had shorter PICU LOSs (2.8 vs 5.5 days, P < .001) compared with non-RT patients despite a higher rate of emergency transfer (15.2% vs 7.5%, P = .018) and no difference in mortality (P = .741).

CONCLUSIONS

In this study, we demonstrate RTs have an increase in emergency transfer rate but no apparent risk of increased PICU LOS or mortality.

Patient and facility variation in costs of catheter ablation for atrial fibrillation

BACKGROUND

Cost-effectiveness or value of cardiovascular therapies may be undermined by unwarranted cost variation, particularly for heterogeneous procedures such as catheter ablation for atrial fibrillation (AF). We sought to characterize cost variation of AF ablation in the US healthcare system and the relationship between cost and outcomes.

METHODS AND RESULTS

We performed a retrospective cohort study using data from the MarketScan® commercial claims and Medicare supplemental databases including patients who received an AF ablation from 2007 to 2011. We aggregated encounter cost, reflecting total payments received for the encounter, to the facility level to calculate median facility cost. We classified procedures as outpatient or inpatient and assessed for association between cost and 30-day and 1-year outcomes. The analysis cohort included 9,415 AF ablations (59±11 years; 28% female; 52% outpatient) occurring at 327 facilities, with large cost variation across facilities (median: $25,100; 25th percentile: $18,900, 75th percentile: $35,600, 95th percentile: $57,800). Among outpatient procedures, there was reduced healthcare utilization in higher cost quintiles with reductions in rehospitalization at 30-days (Quintile 1: 16.1%, Quintile 5: 8.8%, P < 0.001) and 1-year (Quintile 1: 34.8%, Quintile 5: 25.6%, P < 0.001), which remained significant in multivariate analysis.

CONCLUSIONS

Although median costs of AF ablation are below amounts used in prior cost-effectiveness studies that demonstrated good value, large facility variation in cost suggests opportunities for cost reduction. However, for outpatient encounters, association of cost to modestly improved outcomes suggests cost containment strategies could have variable effects.

Mortality by Timing of Hip Fracture Surgery: Factors and Relationships at Play

In hip fracture care, it is disputed whether mortality worsens when surgery is delayed. This knowledge gap matters when hospital managers seek to justify resource allocation for prioritizing access to one procedure over another. Uncertainty over the surgical timing-death association leads to either surgical prioritization without benefit or the underuse of expedited surgery when it could save lives. The discrepancy in previous findings results in part from differences between patients who happened to undergo surgery at different times. Such differences may produce the statistical association between surgical timing and death in the absence of a causal relationship. Previous observational studies attempted to adjust for structure, process, and patient factors that contribute to death, but not for relationships between structure and process factors, or between patient and process factors. In this article, we (1) summarize what is known about the factors that influence, directly or indirectly, both the timing of surgery and the occurrence of death; (2) construct a dependency graph of relationships among these factors based explicitly on the existing literature; (3) consider factors with a potential to induce covariation of time to surgery and the occurrence of death, directly or through the network of relationships, thereby explaining a putative surgical timing-death association; and (4) show how age, sex, dependent living, fracture type, hospital type, surgery type, and calendar period can influence both time to surgery and occurrence of death through chains of dependencies. We conclude by discussing how these results can inform the allocation of surgical capacity to prevent the avoidable adverse consequences of delaying hip fracture surgery.

Trajectories and Prognosis of Older Patients Who Have Prolonged Mechanical Ventilation After High-Risk Surgery

OBJECTIVES

Surgical patients often receive routine postoperative mechanical ventilation with excellent outcomes. However, older patients who receive prolonged mechanical ventilation may have a significantly different long-term trajectory not fully captured in 30-day postoperative metrics. The objective of this study is to describe patterns of mortality and hospitalization for Medicare beneficiaries 66 years old and older who have major surgery with and without prolonged mechanical ventilation.

DESIGN

Retrospective cohort study.

SETTING

Hospitals throughout the United States.

PATIENTS

Five percent random national sample of elderly Medicare beneficiaries (age ≥ 66 yr) who underwent 1 of 227 operations previously defined as high risk during an inpatient stay at an acute care hospital between January 1, 2005, and November 30, 2009.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We identified 117,917 episodes for older patients who had high-risk surgery; 4% received prolonged mechanical ventilation during the hospitalization. Patients who received prolonged mechanical ventilation had higher 1-year mortality rate than patients who did not have prolonged ventilation (64% [95% CI, 62-65%] vs 17% [95% CI, 16.4-16.9%]). Thirty-day survivors who received prolonged mechanical ventilation had a 1-year mortality rate of 47% (95% CI, 45-48%). Thirty-day survivors who did not receive prolonged ventilation were more likely to be discharged home than patients who received prolonged ventilation 71% versus 10%. Patients who received prolonged ventilation and were not discharged by postoperative day 30 had a substantially increased 1-year mortality (adjusted hazard ratio, 4.39 [95% CI, 3.29-5.85]) compared with patients discharged home by day 30. Hospitalized 30-day survivors who received prolonged mechanical ventilation and died within 6 months of their index procedure spent the majority of their remaining days hospitalized.

CONCLUSIONS

Older patients who require prolonged mechanical ventilation after high-risk surgery and survive 30 days have a significant 1-year risk of mortality and high burdens of treatment. This difficult trajectory should be considered in surgical decision making and has important implications for surgeons, intensivists, and patients.

The burden of second hip fractures: provincial surgical hospitalizations over 15 years

BACKGROUND

Second hip fractures account for up to 15% of all hip fractures. We sought to determine if the proportion of hip fracture surgeries for second hip fracture changed over time in terms of patient and fracture characteristics.

METHODS

We reviewed the records of patients older than 60 years hospitalized for hip fracture surgery between 1990 and 2005 in British Columbia. We studied the proportion of surgeries for second hip fracture among all hip fracture surgeries. Linear regression tested for trends across fiscal years for women and men.

RESULTS

We obtained 46 341 patient records. Second hip fracture accounted for 8.3% of hip fracture surgeries. For women the proportion of second hip fracture surgeries increased linearly from 4% to 13% with each age decade (p = 0.001) and across fiscal years (p = 0.002). In men the proportion of second hip fracture surgeries was 5% for each age decade between the ages of 60 and 90 years across fiscal years, increasing to 8% for men older than 90 years across fiscal years (p = 0.20). These sex-specific trends were similar for both pertrochanteric and transcervical fracture types.

CONCLUSION

Second hip fracture surgeries account for an increasing proportion of hip fracture surgeries and may require more health care resources to minimize poorer reported outcomes. Future research should determine whether more health care resources are required to manage these patients and optimize their outcomes.

Evidence of Inefficiencies in Practice Patterns: Regional Variation in Medicare Medical and Drug Spending

Several studies have explored the causes and magnitude of geographic variation in Medicare spending and service use, but most of these studies have not taken into account that pharmaceuticals may substitute for medical service use. We address this issue using Medicare medical and pharmaceutical administrative claims data to explore the correlation between medical and pharmaceutical spending and utilization; we also examine medical and pharmaceutical use for subsets of the Medicare population with certain chronic conditions often treated with drugs. Beneficiary-level regressions with controls for health status and demographics were used to construct standardized medical spending and pharmaceutical spending and utilization measures for each region and patient cohort. Areas with higher medical spending tend to have higher pharmaceutical spending in general. However, areas with higher medical spending also tend to have lower pharmaceutical spending for conditions for which prescription drugs may substitute for additional medical care. Both of these patterns are consistent with less efficient medical practices in higher-spending areas. Likewise, more expensive drugs and more broad-spectrum antibiotics, which are often considered discretionary and overused, are more likely to be prescribed in higher-spending areas. Our results suggest that care may be provided more efficiently in some regions than in others. However, additional research is needed to investigate relationships between spending and health care outcomes, and what types of policies may create incentives for higher-spending regions to reduce spending without a loss in quality.

In-hospital mortality after hip fracture by treatment setting

BACKGROUND

Where patients with hip fracture undergo treatment may influence their outcome. We compared the risk of in-hospital death after hip fracture by treatment setting in Canada.

METHODS

We examined all discharge abstracts from the Canadian Institute for Health Information with diagnosis codes for hip fracture involving patients 65 years and older who were admitted to hospital with a nonpathological first hip fracture between Jan. 1, 2004, and Dec. 31, 2012, in Canada (excluding Quebec). We compared the risk of in-hospital death, overall and after surgery, between teaching hospitals and community hospitals of various bed capacities, accounting for variation in length of stay.

RESULTS

Compared with the number of deaths per 1000 admissions at teaching hospitals, there were an additional 3 (95% confidence interval [CI] 1-6), 14 (95% CI 10-18) and 43 (95% CI 35-51) deaths per 1000 admissions at large, medium and small community hospitals, respectively. For the risk of in-hospital death overall, the adjusted odds ratios (ORs) were 1.05 (95% CI 0.99-1.11), 1.16 (95% CI 1.09-1.24) and 1.44 (95% CI 1.31-1.57) at large, medium and small community hospitals, respectively, compared with teaching hospitals. For the risk of postsurgical death in hospital, the adjusted ORs were 1.06 (95% CI 1.00-1.13), 1.13 (95% CI 1.04-1.23) and 1.18 (95% CI 0.87-1.60) at large, medium and small community hospitals, respectively.

INTERPRETATION

Compared with teaching hospitals, the risk of in-hospital death among patients with hip fracture was higher at medium and small community hospitals, and the risk of in-hospital death after surgery was higher at medium community hospitals. No differences were found between teaching and large community hospitals. Future research should examine the role of volume, demand and bed occupancy for observed differences.

Higher Hospital Spending on Occupational Therapy Is Associated With Lower Readmission Rates

Hospital executives are under continual pressure to control spending and improve quality. While prior studies have focused on the relationship between overall hospital spending and quality, the relationship between spending on specific services and quality has received minimal attention. The literature thus provides executives limited guidance regarding how they should allocate scarce resources. Using Medicare claims and cost report data, we examined the association between hospital spending for specific services and 30-day readmission rates for heart failure, pneumonia, and acute myocardial infarction. We found that occupational therapy is the only spending category where additional spending has a statistically significant association with lower readmission rates for all three medical conditions. One possible explanation is that occupational therapy places a unique and immediate focus on patients’ functional and social needs, which can be important drivers of readmission if left unaddressed.

Medicare Managed Care Spillovers and Treatment Intensity

Evidence suggests that the share of Medicare managed care enrollees in a region affects the costs of treating traditional fee-for-service (FFS) Medicare beneficiaries; however, little is known about the mechanisms through which these 'spillover effects' operate. This paper examines the relationship between Medicare managed care penetration and treatment intensity for FFS enrollees hospitalized with a primary diagnosis of AMI. I find that increased Medicare managed care penetration is associated with a reduction in both the costs and the treatment intensity of FFS AMI patients. Specifically, as Medicare managed care penetration increases, FFS AMI patients are less likely to receive surgical reperfusion and mechanical ventilation and to experience an overall reduction in the number of inpatient procedures. Copyright © 2015 John Wiley & Sons, Ltd.

US hospitals experienced substantial productivity growth during 2002-11

The need for better value in US health care is widely recognized. Existing evidence suggests that improvement in the productivity of American hospitals-that is, the output that hospitals produce from inputs such as labor and capital-has lagged behind that of other industries. However, previous studies have not adequately addressed quality of care or severity of patient illness. Our study, by contrast, adjusts for trends in the severity of patients' conditions and health outcomes. We studied productivity growth among US hospitals in treating Medicare patients with heart attack, heart failure, and pneumonia during 2002-11. We found that the rates of annual productivity growth were 0.78 percent for heart attack, 0.62 percent for heart failure, and 1.90 percent for pneumonia. However, unadjusted productivity growth appears to have been negative. These findings suggest that productivity growth in US health care could be better than is sometimes believed, and may help alleviate concerns about Medicare payment policy under the Affordable Care Act.

Does Higher Spending Improve Survival Outcomes for Myocardial Infarction? Examining the Cost-Outcomes Relationship Using Time-Varying Covariates

OBJECTIVES

Previous patient-level acute myocardial infarction (AMI) research has found higher hospital spending to be associated with improved survival; however, survivor-treatment selection bias traditionally has been overlooked. The purpose of this study was to examine the AMI cost-outcome relationship, taking into account this form of bias.

DATA SOURCES

Hospital Discharge Abstract data tracked costs for AMI hospitalizations. Ontario Vital Statistics data tracked patient mortality.

STUDY DESIGN

A standard Cox survival model was compared to an extended Cox model using hospital costs as a time-varying covariate to examine the impact of cost on 1-year survival in a cohort of 30,939 first-time AMI patients in Ontario, Canada, from 2007 to 2010.

PRINCIPAL FINDINGS

Higher patient-level AMI spending decreased the hazard of dying (Standard Model: log-cost hazard ratio: 0.513, 95 percent CI: 0.479-0.549; Extended Model: log-cost hazard ratio: 0.700, 95 percent CI: 0.645-0.758); however, the protective effect was overestimated by 62 percent when survivor-treatment bias was overlooked. In the extended model, a 10 percent increase in spending was associated with a 3.6 percent decrease in hazard of death.

CONCLUSION

The findings of this study suggest that if survivor-treatment bias is overlooked, future research may materially overstate the protective effect of patient-level spending on outcomes.

Hospital Volume, Complications, and Cost of Cancer Surgery in the Elderly

Purpose

Hospital surgical volume has been shown to correlate with short-term outcomes after cancer surgery, but the relationship between volume and cost of care is unclear. We sought to characterize variation in payments for cancer surgery and assess the relationship between hospital volume and payments.

Methods

Using 2000 to 2007 Surveillance, Epidemiology, and End Results–Medicare data, we assessed risk-adjusted 30-day episode Medicare payments for elderly patients undergoing one of six procedures for resection of cancer. Payments for the index hospitalization, readmissions, physician services, emergency room visits, and postdischarge ancillary care were analyzed, as were data on 30-day mortality and complications.

Results

The analysis included 31,191 colectomies, 2,670 cystectomies, 1,514 pancreatectomies, 2,607 proctectomies, 12,228 prostatectomies, and 10,151 pulmonary lobectomies. There was substantial variation in cost; differences between the first and third terciles of cost varied from 27% for cystectomy to 40% for colectomy. The majority of variation (66% to 82%) was attributable to payments for the index admission rather than readmissions or physician services. There were no meaningful associations between total risk-adjusted payments and hospital volume. Surgical mortality was low, but complication rates ranged from 10% (prostatectomy) to 56% (lobectomy). Complication rates were not correlated with hospital volume, but occurrence of complications was associated with 47% to 70% higher costs.

Conclusion

We found substantial variation in Medicare payments for these six cancer procedures. Cost was strongly associated with postoperative complications and primarily driven by differences in the cost of the index hospitalization. Efforts to prevent and cost-effectively manage complications are more likely to reduce costs than volume-based referral of cancer surgery alone.

Does seeing the doctor more often keep you out of the hospital?

By exploiting a unique health insurance benefit design, we provide novel evidence on the causal association between outpatient and inpatient care. Our results indicate that greater outpatient spending was associated with more hospital admissions: a $100 increase in outpatient spending was associated with a 1.9% increase in the probability of having an inpatient event and a 4.6% increase in inpatient spending among enrollees in our sample. Moreover, we present evidence that the increase in hospital admissions associated with greater outpatient spending was for conditions in which it is plausible to argue that the physician and patient could exercise discretion.

Geographic access and age-related variation in chemotherapy use in elderly with metastatic breast cancer

Significant age-related variation in chemotherapy use has been observed among elderly patients with metastatic breast cancer (MBC), which may be partly attributable to geographic access factors such as local area physician practice culture and local health care system capacity. The purpose of the paper was to examine how age may modify the effect of geographic access on chemotherapy use in elderly patients with MBC. This was a retrospective cohort study based on the surveillance, epidemiology, and end results-Medicare-linked database of 1992-2002. Chemotherapy use was defined as at least one chemotherapy-related claim within 6-month post-diagnosis. Geographic access to cancer care was measured by four variables: patient travel time to the nearest oncologist practice, local area per capita number of oncologists, local area per capita number of hospices, and local area chemotherapy rate. Using multivariate logistic regression model, both aggregate models with interaction terms and subgroup analyses were conducted. Among 4,533 elderly with MBC, 30.16 % used chemotherapy. Chemotherapy use decreased with age. Both the aggregate model with interaction terms and the subgroup analysis showed that local area chemotherapy rate was positively associated with chemotherapy use (P = .0004 in the whole group; in the subgroup analyses, P < .0001, P = .0006, P = .0006, P = .18, P = .026, respectively). In addition, subgroup analysis showed that, among patients aged 85+ years old, local area oncologist supply was negatively associated with chemotherapy use (P = .028). The impact of geographic access to cancer care is the greatest among the oldest group, for whom the clinical evidence is the least certain.

Barriers and Strategies for Effective Patient Rescue: A Qualitative Study of Outliers

BACKGROUND

Organizational factors influencing failure-to-rescue (FTR)-or death after postoperative complications-are poorly understood. Case studies were conducted to generate hypotheses that could inform future FTR research and improvement strategies.

METHODS

Publicly reported 2009-2011 data were used to identify 144 outlier hospitals with statistically better or worse FTR performance than the national average. Of these 144 hospitals, 7 were selected for case studies in a purposive sample. Outliers enabled a focus on the organizational factors and processes at the extremes of performance. Semi-structured interviews were conducted in 2013 with key informants at each hospital, and transcripts were analyzed using the constant comparative method to identify emergent organizational behavioral themes.

RESULTS

The 7 hospitals-4 high- and 3 low-performing-yielded 106 interviews. Critical barriers to effective rescue were ineffective communication, lack of psychological safety, staffing discontinuity, imbalance of shared ownership and individual responsibility, lack of appropriate training and education, and difficulty using current metrics. Participants also identified strategies to overcome these barriers-rapid response teams, flattening the hierarchy, escalation strategies, health information technology, structured communication tools, constant team structures, standardized care pathways, and organizational learning.

CONCLUSION

FTR is a complex process that is viewed, defined, and acted on differently across and within organizations. Early recognition of patients deviating from normal recovery was enhanced in high-performing hospitals through the use of standardized postoperative recovery pathways and automated escalation protocols. Current FTR measures may be less actionable for the purposes of quality improvement.

End-of-life care for older patients with ovarian cancer is intensive despite high rates of hospice use

PURPOSE

To date, few studies have examined end-of-life care for patients with ovarian cancer. One study documented increased hospice use among older patients with ovarian cancer from 2000 to 2005. We sought to determine whether increased hospice use was associated with less-intensive end-of-life medical care.

PATIENTS AND METHODS

We identified 6,956 individuals age ≥ 66 years living in SEER areas who were enrolled in fee-for-service Medicare, diagnosed with epithelial ovarian cancer between 1997 and 2007, and died as a result of ovarian cancer by December 2007. We examined changes in medical care during patients' last month of life over time.

RESULTS

Between 1997 and 2007, hospice use increased significantly, and terminal hospitalizations decreased (both P < .001). However, during this time, we also observed statistically significant increases in intensive care unit admissions, hospitalizations, repeated emergency department visits, and health care transitions (all P ≤ .01). In addition, the proportion of patients referred to hospice from inpatient settings rose over time (P = .001). Inpatients referred to hospice were more likely to enroll in hospice within 3 days of death than outpatients (adjusted odds ratio, 1.36; 95% CI, 1.12 to 1.66).

CONCLUSION

Older women with ovarian cancer were more likely to receive hospice services near death and less likely to die in a hospital in 2007 compared with earlier years. Despite this, use of hospital-based services increased over time, and patients underwent more transitions among health care settings near death, suggesting that the increasing use of hospice did not offset intensive end-of-life care.

Long-term impact of medicare payment reductions on patient outcomes

OBJECTIVE

To examine the long-term impact of Medicare payment reductions on patient outcomes for Medicare acute myocardial infarction (AMI) patients.

DATA SOURCES

Analysis of secondary data compiled from 100 percent Medicare Provider Analysis and Review between 1995 and 2005, Medicare hospital cost reports, Inpatient Prospective Payment System Payment Impact Files, American Hospital Association annual surveys, InterStudy, Area Resource Files, and County Business Patterns.

STUDY DESIGN

We used a natural experiment-the Balanced Budget Act (BBA) of 1997-as an instrument to predict cumulative Medicare revenue loss due solely to the BBA, and basing on the predicted loss categorized hospitals into small, moderate, or large payment-cut groups and followed Medicare AMI patient outcomes in these hospitals over an 11-year panel between 1995 and 2005.

PRINCIPAL FINDINGS

We found that while Medicare AMI mortality trends remained similar across hospitals between pre-BBA and initial-BBA periods, hospitals facing large payment cuts saw smaller improvement in mortality rates relative to that of hospitals facing small cuts in the post-BBA period. Part of the relatively higher AMI mortalities among large-cut hospitals might be related to reductions in staffing levels and operating costs, and a small part might be due to patient selection.

CONCLUSIONS

We found evidence that hospitals facing large Medicare payment cuts as a result of BBA of 1997 were associated with deteriorating patient outcomes in the long run. Medicare payment reductions may have an unintended consequence of widening the gap in quality across hospitals.

Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children

BACKGROUND

Early warning scores (EWS) are designed to identify early clinical deterioration by combining physiologic and/or laboratory measures to generate a quantified score. Current EWS leverage only a small fraction of Electronic Health Record (EHR) content. The planned widespread implementation of EHRs brings the promise of abundant data resources for prediction purposes. The three specific aims of our research are: (1) to develop an EHR-based automated algorithm to predict the need for Pediatric Intensive Care Unit (PICU) transfer in the first 24h of admission; (2) to evaluate the performance of the new algorithm on a held-out test data set; and (3) to compare the effectiveness of the new algorithm's with those of two published Pediatric Early Warning Scores (PEWS).

METHODS

The cases were comprised of 526 encounters with 24-h Pediatric Intensive Care Unit (PICU) transfer. In addition to the cases, we randomly selected 6772 control encounters from 62516 inpatient admissions that were never transferred to the PICU. We used 29 variables in a logistic regression and compared our algorithm against two published PEWS on a held-out test data set.

RESULTS

The logistic regression algorithm achieved 0.849 (95% CI 0.753-0.945) sensitivity, 0.859 (95% CI 0.850-0.868) specificity and 0.912 (95% CI 0.905-0.919) area under the curve (AUC) in the test set. Our algorithm's AUC was significantly higher, by 11.8 and 22.6% in the test set, than two published PEWS.

CONCLUSION

The novel algorithm achieved higher sensitivity, specificity, and AUC than the two PEWS reported in the literature.

A population health approach to reducing observational intensity bias in health risk adjustment: cross sectional analysis of insurance claims

OBJECTIVE

To compare the performance of two new approaches to risk adjustment that are free of the influence of observational intensity with methods that depend on diagnoses listed in administrative databases.

SETTING

Administrative data from the US Medicare program for services provided in 2007 among 306 US hospital referral regions.

DESIGN

Cross sectional analysis.

PARTICIPANTS

20% sample of fee for service Medicare beneficiaries residing in one of 306 hospital referral regions in the United States in 2007 (n = 5,153,877).

MAIN OUTCOME MEASURES

The effect of health risk adjustment on age, sex, and race adjusted mortality and spending rates among hospital referral regions using four indices: the standard Centers for Medicare and Medicaid Services--Hierarchical Condition Categories (HCC) index used by the US Medicare program (calculated from diagnoses listed in Medicare's administrative database); a visit corrected HCC index (to reduce the effects of observational intensity on frequency of diagnoses); a poverty index (based on US census); and a population health index (calculated using data on incidence of hip fractures and strokes, and responses from a population based annual survey of health from the Centers for Disease Control and Prevention).

RESULTS

Estimated variation in age, sex, and race adjusted mortality rates across hospital referral regions was reduced using the indices based on population health, poverty, and visit corrected HCC, but increased using the standard HCC index. Most of the residual variation in age, sex, and race adjusted mortality was explained (in terms of weighted R2) by the population health index: R2=0.65. The other indices explained less: R2=0.20 for the visit corrected HCC index; 0.19 for the poverty index, and 0.02 for the standard HCC index. The residual variation in age, sex, race, and price adjusted spending per capita across the 306 hospital referral regions explained by the indices (in terms of weighted R2) were 0.50 for the standard HCC index, 0.21 for the population health index, 0.12 for the poverty index, and 0.07 for the visit corrected HCC index, implying that only a modest amount of the variation in spending can be explained by factors most closely related to mortality. Further, once the HCC index is visit corrected it accounts for almost none of the residual variation in age, sex, and race adjusted spending.

CONCLUSION

Health risk adjustment using either the poverty index or the population health index performed substantially better in terms of explaining actual mortality than the indices that relied on diagnoses from administrative databases; the population health index explained the majority of residual variation in age, sex, and race adjusted mortality. Owing to the influence of observational intensity on diagnoses from administrative databases, the standard HCC index over-adjusts for regional differences in spending. Research to improve health risk adjustment methods should focus on developing measures of risk that do not depend on observation influenced diagnoses recorded in administrative databases.

Hospital costs and inpatient mortality among children undergoing surgery for congenital heart disease

OBJECTIVE

To determine the association between hospital costs and risk-adjusted inpatient mortality among children undergoing surgery for congenital heart disease (CHD) in U.S. acute-care hospitals.

DATA SOURCES/STUDY SETTINGS

Retrospective cohort study of 35,446 children in 2003, 2006, and 2009 Kids' Inpatient Database (KID).

STUDY DESIGN

Cross-sectional logistic regression of risk-adjusted inpatient mortality and hospital costs, adjusting for a variety of patient-, hospital-, and community-level confounders.

DATA COLLECTION/EXTRACTION METHODS

We identified relevant discharges in the KID using the AHRQ Pediatric Quality Indicator for pediatric heart surgery mortality, and linked these records to hospital characteristics from American Hospital Association Surveys and community characteristics from the Census.

PRINCIPAL FINDINGS

Children undergoing CHD surgery in higher cost hospitals had lower risk-adjusted inpatient mortality (p=.002). An increase from the 25th percentile of treatment costs to the 75th percentile was associated with a 13.6 percent reduction in risk-adjusted mortality.

CONCLUSIONS

Greater hospital costs are associated with lower risk-adjusted inpatient mortality for children undergoing CHD surgery. The specific mechanisms by which greater costs improve mortality merit further exploration.

The association of unfavorable outcomes with the intensity of neurosurgical care in the United States

OBJECT

There is wide regional variability in the volume of procedures performed for similar surgical patients throughout the United States. We investigated the association of the intensity of neurosurgical care (defined as the average annual number of neurosurgical procedures per capita) with mortality, length of stay (LOS), and rate of unfavorable discharge for inpatients after neurosurgical procedures.

METHODS

We performed a retrospective cohort study involving the 202,518 patients who underwent cranial neurosurgical procedures from 2005-2010 and were registered in the National Inpatient Sample (NIS) database. Regression techniques were used to investigate the association of the average intensity of neurosurgical care with the average mortality, LOS, and rate of unfavorable discharge.

RESULTS

The inpatient neurosurgical mortality, rate of unfavorable discharge, and average LOS varied significantly among several states. In a multivariate analysis male gender, coverage by Medicaid, and minority racial status were associated with increased mortality, rate of unfavorable discharge, and LOS. The opposite was true for coverage by private insurance, higher income, fewer comorbidities and small hospital size. There was no correlation of the intensity of neurosurgical care with the mortality (Pearson's ρ = -0.18, P = 0.29), rate of unfavorable discharge (Pearson's ρ = 0.08, P = 0.62), and LOS of cranial neurosurgical procedures (Pearson's ρ = -0.21, P = 0.22).

CONCLUSIONS

We observed significant disparities in mortality, LOS, and rate of unfavorable discharge for cranial neurosurgical procedures in the United States. Increased intensity of neurosurgical care was not associated with improved outcomes.

Reconceptualising failure to rescue in midwifery: a concept analysis

AIM

to reconceptualise the concept of failure to rescue, distinguishing it from its current scientific usage as a surveillance strategy to recognise physiologic decline.

BACKGROUND

failure to rescue has been consistently defined as a failure to save a patient׳s life after development of complications. The term, however, carries a richer connotation when viewed within a midwifery context. Midwives have historically believed themselves to be the vanguards of normal, physiologic processes, including birth. This philosophy mandates careful consideration of what it means to promote normal birth and the consequences of failure to rescue women from processes which challenge that outcome.

DATA SOURCES

the Medline, CINAHL, PsycINFO, PubMED, Web of Science and Google Scholar databases were searched from the period of 1992-2014 using the key terms of concept analysis, failure-to-rescue, childbirth, midwifery outcomes, obstetrical outcomes, suboptimal care, and patient outcomes. English language reports were used exclusively. The search yielded 45 articles which were reviewed in this paper.

REVIEW METHOD

a critical analysis of the published literature was undertaken as a means of determining the adequacy of the concept for midwifery practice and to detail how it relates to other concepts important in development of a conceptual framework promoting normal birth processes.

FINDINGS

failure to rescue within the context of the midwifery model of care requires robust attention to a midwifery managed setting and surveillance based on a caring presence, patient protection, and midwifery partnership with patient.

CONCLUSION

clarifying the definition of failure to rescue in childbirth and defining its attributes can help inform midwifery providers throughout the world of the ethical importance of considering failure to rescue in clinical practice. Relevance to midwifery care mandates use of failure to rescue as both a process and outcome measure.

Racial disparities in the use of cardiac revascularization: does local hospital capacity matter?

OBJECTIVE

To assess the extent to which the observed racial disparities in cardiac revascularization use can be explained by the variation across counties where patients live, and how the within-county racial disparities is associated with the local hospital capacity.

DATA SOURCES

Administrative data from Pennsylvania Health Care Cost Containment Council (PHC4) between 1995 and 2006.

STUDY DESIGN

The study sample included 207,570 Medicare patients admitted to hospital for acute myocardial infarction (AMI). We identified the use of coronary artery bypass graft (CABG) and percutaneous coronary intervention (PCI) procedures within three months after the patient's initial admission for AMI. Multi-level hierarchical models were used to determine the extent to which racial disparities in procedure use were attributable to the variation in local hospital capacity.

PRINCIPAL FINDINGS

Blacks were less likely than whites to receive CABG (9.1% vs. 5.8%; p<0.001) and PCI (15.7% vs. 14.2%; p<0.001). The state-level racial disparity in use rate decreases for CABG, and increases for PCI, with the county adjustment. Higher number of revascularization hospitals per 1,000 AMI patients was associated with smaller within-county racial differences in CABG and PCI rates. Meanwhile, very low capacity of catheterization suites and AMI hospitals contributed to significantly wider racial gap in PCI rate.

CONCLUSIONS

County variation in cardiac revascularization use rates helps explain the observed racial disparities. While smaller hospital capacity is associated with lower procedure rates for both racial groups, the impact is found to be larger on blacks. Therefore, consequences of fewer medical resources may be particularly pronounced for blacks, compared with whites.

Regional variation in spending and survival for older adults with advanced cancer

BACKGROUND

Medicare spending varies substantially across the United States. We evaluated the association between mean regional spending and survival in advanced cancer.

METHODS

We identified 116 523 subjects with advanced cancer from 2002 to 2007, using Surveillance, Epidemiology and End Results (SEER)-Medicare linked data. Subjects were aged 65 years and older with non-small cell lung, colon, breast, prostate, or pancreas cancer. Of these subjects, 61 083 had incident advanced-stage cancer (incident cohort) and 98 935 had death from cancer (decedent cohort); 37% of subjects were included in both cohorts. Subjects were linked to one of 80 hospital referral regions within SEER areas. We estimated mean regional spending in both cohorts. We assessed the primary outcome, survival, in the incident cohort; the exposure measure was the quintile of regional spending in the decedent cohort. Survival in quintiles 2 through 5 was compared with that in quintile 1 (lowest spending quintile) using Cox regression models.

RESULTS

From quintile 1 to 5, mean regional spending increased by 32% and 41% in the incident and decedent cohorts (incident cohort: $28 854 to $37 971; decedent cohort: $27 446 to $38 630). The association between spending and survival varied by cancer site and quintile; hazard ratios ranged from 0.92 (95% confidence interval [CI] = 0.82 to 1.04, pancreas cancer quintile 5) to 1.24 (95% CI = 1.11 to 1.39, breast cancer quintile 3). In most cases, differences in survival between quintile 1 and quintiles 2 through 5 were not statistically significant.

CONCLUSION

There is substantial regional variation in Medicare spending for advanced cancer, yet no consistent association between mean regional spending and survival.

Do patients with advanced cognitive impairment admitted to hospitals with higher rates of feeding tube insertion have improved survival?

CONTEXT

Research is conflicting on whether receiving medical care at a hospital with more aggressive treatment patterns improves survival.

OBJECTIVES

The aim of this study was to examine whether nursing home residents admitted to hospitals with more aggressive patterns of feeding tube insertion had improved survival.

METHODS

Using the 1999-2007 Minimum Data Set matched to Medicare claims, we identified hospitalized nursing home residents with advanced cognitive impairment who did not have a feeding tube inserted prior to their hospital admissions. The sample included 56,824 nursing home residents and 1773 acute care hospitals nationwide. Hospitals were categorized into nine groups based on feeding tube insertion rates and whether the rates were increasing, staying the same, or decreasing between the periods of 2000-2003 and 2004-2007. Multivariate logit models were used to examine the association between the hospital patterns of feeding tube insertion and survival among hospitalized nursing home residents with advanced cognitive impairment.

RESULTS

Nearly one in five hospitals (N=366) had persistently high rates of feeding tube insertion. Being admitted to these hospitals with persistently high rates of feeding tube insertion was not associated with improved survival when compared with being admitted to hospitals with persistently low rates of feeding tube insertion. The adjusted odds ratios were 0.93 (95% confidence interval [CI]: 0.87, 1.01) and 1.02 (95% CI: 0.95, 1.09) for one-month and six-month posthospitalization survival, respectively.

CONCLUSION

Hospitals with more aggressive patterns of feeding tube insertion did not have improved survival for hospitalized nursing home residents with advanced cognitive impairment.

Observational intensity bias associated with illness adjustment: cross sectional analysis of insurance claims

OBJECTIVE

To determine the bias associated with frequency of visits by physicians in adjusting for illness, using diagnoses recorded in administrative databases.

SETTING

Claims data from the US Medicare program for services provided in 2007 among 306 US hospital referral regions.

DESIGN

Cross sectional analysis.

PARTICIPANTS

20% sample of fee for service Medicare beneficiaries residing in the United States in 2007 (n=5,153,877).

MAIN OUTCOME MEASURES

The effect of illness adjustment on regional mortality and spending rates using standard and visit corrected illness methods for adjustment. The standard method adjusts using comorbidity measures based on diagnoses listed in administrative databases; the modified method corrects these measures for the frequency of visits by physicians. Three conventions for measuring comorbidity are used: the Charlson comorbidity index, Iezzoni chronic conditions, and hierarchical condition categories risk scores.

RESULTS

The visit corrected Charlson comorbidity index explained more of the variation in age, sex, and race mortality across the 306 hospital referral regions than did the standard index (R(2)=0.21 v 0.11, P<0.001) and, compared with sex and race adjusted mortality, reduced regional variation, whereas adjustment using the standard Charlson comorbidity index increased it. Although visit corrected and age, sex, and race adjusted mortality rates were similar in hospital referral regions with the highest and lowest fifths of visits, adjustment using the standard index resulted in a rate that was 18% lower in the highest fifth (46.4 v 56.3 deaths per 1000, P<0.001). Age, sex, and race adjusted spending as well as visit corrected spending was more than 30% greater in the highest fifth of visits than in the lowest fifth, but only 12% greater after adjustment using the standard index. Similar results were obtained using the Iezzoni and the hierarchical condition categories conventions for measuring comorbidity.

CONCLUSION

The rates of visits by physicians introduce substantial bias when regional mortality and spending rates are adjusted for illness using comorbidity measures based on the observed number of diagnoses recorded in Medicare's administrative database. Adjusting without correction for regional variation in visit rates tends to make regions with high rates of visits seem to have lower mortality and lower costs, and vice versa. Visit corrected comorbidity measures better explain variation in age, sex, and race mortality than observed measures, and reduce observational intensity bias.

Rapid response teams and failure to rescue: one community's experience

The rapid response team has been proposed as an effective strategy for reducing failure-to-rescue rates among adult inpatients; however, there is little research evidence to support the recommendation. This exploratory study used survey and administrative data to describe rapid response team characteristics and penetration among hospitals in a large metropolitan area while tracking corresponding failure-to-rescue rates among surgical inpatients over 5 years. The findings are promising and invite further investigation.

Spending and mortality in US acute care hospitals

BACKGROUND

Despite evidence that greater US Medicare spending is not associated with better quality of care at a regional level, recent studies suggest that greater hospital spending is associated with lower risk-adjusted mortality. Studies have been limited to older data, specific US states and conditions, and the Medicare population.

OBJECTIVES

To analyze the association between hospital spending and risk-adjusted inpatient mortality for 6 major medical conditions in US acute care hospitals.

STUDY DESIGN

Retrospective cohort study of risk adjusted inpatient mortality, with hospital spending taken from the Dartmouth Atlas of Health Care. The study population included 2,635,510 patients admitted to 1201 US hospitals between 2003 and 2007.

METHODS

Patient-level logistic regression models were used to estimate the effect of hospital spending on inpatient mortality, controlling for mortality risk, comorbidities, community characteristics (eg, median household income in a patient's zip code), hospital volume and ownership, and admission year.

RESULTS

Patients treated at hospitals in the highest spending quintile (relative to the lowest) had lower risk-adjusted inpatient mortality for acute myocardial infarction (odds ratio [OR] 0.751, 95% confidence interval [CI] 0.656-0.859), congestive heart failure (OR 0.652, 95% CI 0.560-0.759), stroke (OR 0.852, 95% CI, 0.739-0.983), and hip fracture (OR 0.691, 95% CI 0.545-0.876). Greater spending was associated with lower mortality primarily in nonteaching hospitals, hospitals with fewer than the median number of beds, and nonprofit/public hospitals.

CONCLUSIONS

Greater hospital spending is associated with lower risk-adjusted inpatient mortality for major medical conditions in the United States.

Improving situation awareness to reduce unrecognized clinical deterioration and serious safety events

BACKGROUND AND OBJECTIVE

Failure to recognize and treat clinical deterioration remains a source of serious preventable harm for hospitalized patients. We designed a system to identify, mitigate, and escalate patient risk by using principles of high-reliability organizations. We hypothesized that our novel care system would decrease transfers determined to be unrecognized situation awareness failures events (UNSAFE). These were defined as any transfer from an acute care floor to an ICU where the patient received intubation, inotropes, or ≥ 3 fluid boluses in first hour after arrival or before transfer.

METHODS

The setting for our observational time series study was a quaternary care children's hospital. Before initiating tests of change, 2 investigators reviewed recent serious safety events (SSEs) and floor-to-ICU transfers. Collectively, 5 risk factors were associated with each event: family concerns, high-risk therapies, presence of an elevated early warning score, watcher/clinician gut feeling, and communication concerns. Using the model for improvement, an intervention was developed and tested to reliably and proactively identify patient risk and mitigate that risk through unit-based huddles. A 3-times daily inpatient huddle was added to ensure risks were escalated and addressed. Later, a "robust" and explicit plan for at-risk patients was developed and spread.

RESULTS

The rate of UNSAFE transfers per 10,000 non-ICU inpatient days was significantly reduced from 4.4 to 2.4 over the study period. The days between inpatient SSEs also increased significantly.

CONCLUSIONS

A reliable system to identify, mitigate, and escalate risk was associated with a near 50% reduction in UNSAFE transfers and SSEs.

The association between health care quality and cost: a systematic review

BACKGROUND

Although there is broad policy consensus that both cost containment and quality improvement are critical, the association between costs and quality is poorly understood.

PURPOSE

To systematically review evidence of the association between health care quality and cost.

DATA SOURCES

Electronic literature search of PubMed, EconLit, and EMBASE databases for U.S.-based studies published between 1990 and 2012.

STUDY SELECTION

Title, abstract, and full-text review to identify relevant studies.

DATA EXTRACTION

Two reviewers independently abstracted data with differences reconciled by consensus. Studies were categorized by level of analysis, type of quality measure, type of cost measure, and method of addressing confounders.

DATA SYNTHESIS

Of 61 included studies, 21 (34%) reported a positive or mixed-positive association (higher cost associated with higher quality); 18 (30%) reported a negative or mixed-negative association; and 22 (36%) reported no difference, an imprecise or indeterminate association, or a mixed association. The associations were of low to moderate clinical significance in many studies. Of 9 studies using instrumental variables analysis to address confounding by unobserved patient health status, 7 (78%) reported a positive association, but other characteristics of these studies may have affected their findings.

LIMITATIONS

Studies used widely heterogeneous methods and measures. The review is limited by the quality of underlying studies.

CONCLUSION

Evidence of the direction of association between health care cost and quality is inconsistent. Most studies have found that the association between cost and quality is small to moderate, regardless of whether the direction is positive or negative. Future studies should focus on what types of spending are most effective in improving quality and what types of spending represent waste.

PRIMARY FUNDING SOURCE

Robert Wood Johnson Foundation.

Saving Money or Just Saving Lives? Improving the Productivity of US Health Care Spending

There is growing concern over the rising share of the US economy devoted to health care spending. Fueled in part by demographic transitions, unchecked increases in entitlement spending will necessitate some combination of substantial tax increases, elimination of other public spending, or unsustainable public debt. This massive increase in health spending might be warranted if each dollar devoted to the health care sector yielded real health benefits, but this does not seem to be the case. Although we have seen remarkable gains in life expectancy and functioning over the past several decades, there is substantial variation in the health benefits associated with different types of spending. Some treatments, such as aspirin, beta blockers, and flu shots, produce a large health benefit per dollar spent. Other more expensive treatments, such as stents for cardiovascular disease, are high value for some patients but poor value for others. Finally, a large and expanding set of treatments, such as proton-beam therapy or robotic surgery, contributes to rapid increases in spending despite questionable health benefits. Moving resources toward more productive uses requires encouraging providers to deliver and patients to consume high-value care, a daunting task in the current political landscape. But widespread inefficiency also offers hope: Given the current distribution of resources in the US health care system, there is tremendous potential to improve the productivity of health care spending and the fiscal health of the United States.

Association of hospital spending intensity with mortality and readmission rates in Ontario hospitals

CONTEXT

The extent to which better spending produces higher-quality care and better patient outcomes in a universal health care system with selective access to medical technology is unknown.

OBJECTIVE

To assess whether acute care patients admitted to higher-spending hospitals have lower mortality and readmissions.

DESIGN, SETTING, AND PATIENTS

The study population comprised adults (>18 years) in Ontario, Canada, with a first admission for acute myocardial infarction (AMI) (n = 179,139), congestive heart failure (CHF) (n = 92,377), hip fracture (n = 90,046), or colon cancer (n = 26,195) during 1998-2008, with follow-up to 1 year. The exposure measure was the index hospital's end-of-life expenditure index for hospital, physician, and emergency department services.

MAIN OUTCOME MEASURES

The primary outcomes were 30-day and 1-year mortality and readmissions and major cardiac events (readmissions for AMI, angina, CHF, or death) for AMI and CHF.

RESULTS

Patients' baseline health status was similar across hospital expenditure groups. Patients admitted to hospitals in the highest- vs lowest-spending intensity terciles had lower rates of all adverse outcomes. In the highest- vs lowest-spending hospitals, respectively, the age- and sex-adjusted 30-day mortality rate was 12.7% vs 12.8% for AMI, 10.2% vs 12.4% for CHF, 7.7% vs 9.7% for hip fracture, and 3.3% vs 3.9% for CHF; fully adjusted relative 30-day mortality rates were 0.93 (95% CI, 0.89-0.98) for AMI, 0.81 (95% CI, 0.76-0.86) for CHF, 0.74 (95% CI, 0.68-0.80) for hip fracture, and 0.78 (95% CI, 0.66-0.91) for colon cancer. Results for 1-year mortality, readmissions, and major cardiac events were similar. Higher-spending hospitals had higher nursing staff ratios, and their patients received more inpatient medical specialist visits, interventional (AMI cohort) and medical (AMI and CHF cohorts) cardiac therapies, preoperative specialty care (colon cancer cohort), and postdischarge collaborative care with a cardiologist and primary care physician (AMI and CHF cohorts).

CONCLUSION

Among Ontario hospitals, higher spending intensity was associated with lower mortality, readmissions, and cardiac event rates.

Geographic variation in health care and the affluence-poverty nexus

Almost 50 years ago, John F. Kennedy told Yale's graduating class that "what is needed today is a new, difficult but essential confrontation with reality, for the great enemy of truth is very often not the lie-deliberate, contrived and dishonest-but the myth-persistent, persuasive and unrealistic." Today's myth is the belief that 30% of health care spending is due to supplier-induced demand and that this amount could be saved if high-spending regions could more closely resemble low-spending regions. The reality is that, while quality and efficiency remain important goals, the major factors driving geographic differences are related to income inequality. Yet, following the road map of the Dartmouth Atlas, the Affordable Care Act includes penalties for hospitals with excess preventable readmissions (which are mainly of the poor), incentive payments for providers in counties that have the lowest Medicare expenditures (where there tends to be less poverty), incentives for physicians and hospitals that attain new "efficiency standards" (ie, costs similar to the lowest), and a call for the Institute of Medicine to recommend additional incentive strategies based on geographic variation. This scenario iscoupled with a growing bureaucracy, following the blueprint laid out by Brennan and Berwick in the 1990s, but with no tangible measures to increase physician supply. Meaningful health care reform means accepting the reality that poverty and its cultural extensions are the major cause of geographic variation in health care utilization and a major source of escalating health care spending. And it means acknowledging Bertrand Russell's admonition that a high degree of income inequality is not compatible with political democracy, nor is it compatible with health care that this nation can afford. As solutions are sought both within and outside of the health care system, misunderstandings of how and why health care varies geographically cannot be allowed to deter these efforts, and the pervasive impact of poverty cannot be ignored.