United States rural hospital quality in the Hospital Compare database-accounting for hospital characteristics

Rural-Urban Differences in Mortality among Mechanically Ventilated Patients in Intensive and Intermediate Care

Rationale: Intermediate care (also termed "step-down" or "moderate care") has been proposed as a lower cost alternative to care for patients who may not clearly benefit from intensive care unit admission. Intermediate care units may be appealing to hospitals in financial crisis, including those in rural areas. Outcomes of patients receiving intermediate care are not widely described. Objectives: To examine relationships among rurality, location of care, and mortality for mechanically ventilated patients. Methods: Medicare beneficiaries aged 65 years and older who received invasive mechanical ventilation between 2010 and 2019 were included. Multivariable logistic regression was used to estimate the association between admission to a rural or an urban hospital and 30-day mortality, with separate analyses for patients in general, intermediate, and intensive care. Models were adjusted for age, sex, area deprivation index, primary diagnosis, severity of illness, year, comorbidities, and hospital volume. Results: There were 2,752,492 hospitalizations for patients receiving mechanical ventilation from 2010 to 2019, and 193,745 patients (7.0%) were in rural hospitals. The proportion of patients in rural intermediate care increased from 4.1% in 2010 to 6.3% in 2019. Patient admissions to urban hospitals remained relatively stable. Patients in rural and urban intensive care units had similar adjusted 30-day mortality, at 46.7% (adjusted absolute risk difference -0.1% [95% confidence interval, -0.7% to 0.6%]; P = 0.88). However, adjusted 30-day mortality for patients in rural intermediate care was significantly higher (36.9%) than for patients in urban intermediate care (31.3%) (adjusted absolute risk difference 5.6% [95% confidence interval, 3.7% to 7.6%]; P < 0.001). Conclusions: Hospitalization in rural intermediate care was associated with increased mortality. There is a need to better understand how intermediate care is used across hospitals and to carefully evaluate the types of patients admitted to intermediate care units.

Rural Disparities in Hospital Patient Satisfaction: Multilevel Analysis of the Massachusetts AHA, SID, and HCAHPS Data

INTRODUCTION

Hospital patient satisfaction has been a salient policy concern. We examined rurality's impact on patient satisfaction measures.

METHODOLOGY

We examined patients (age 50 and up) from 65 rural and urban hospitals in Massachusetts, using the merged data from 2007 American Hospital Association Annual Survey, State Inpatient Database and Survey of Patients' Hospital Experiences, utilizing Hierarchical binary logistic regression analyses to examine the rural disparities in patient satisfaction measures.

RESULTS

Relative to the urban location, rurality reduced the likelihood of cleanliness of environment (odds ratio = 0.66, 95% confidence interval: [0.63-0.70]); but increased the likelihood of staff responsiveness and quietness. Compared to Caucasian counterparts, Hispanic patients were less likely to reside in a quiet hospital. Compared to other payments, Medicare or Medicaid coverage each reduced the likelihood of staff responsiveness and cleanliness. Compared to other diagnoses, depressive or psychosis disorders predicted smaller odds in responsiveness and cleanliness. Anxiety diagnosis reduced the likelihood of cleanness and quietness. At the facility level, higher registered nurse full-time equivalent (FTE)s or being a teaching hospital increased the likelihood of all measures.

CONCLUSION

Relative to the urban counterparts, rural patients experienced lower likelihood of staff responsiveness after adjusting for other factors. Compared to Caucasian patients, Hispanic patients were less likely to reside in quiet hospital environment. Research is needed to further explore the basis of these disparities. Mental health diagnoses in depressive and psychosis disorders also called upon further studies in special care needs.

Gap Analysis for the Conversion to Area Under the Curve Vancomycin Monitoring in a Small Rural Hospital

OBJECTIVE

Consensus guidelines for vancomycin monitoring now recommend area under the curve (AUC) calculations for optimal vancomycin efficacy and safety. This will be a major practice change for many facilities. Implementation guidance is available but has not been reported in smaller, primary care hospitals. The objective of this study was to measure the uptake of AUC monitoring implementation in a rural facility.

METHODS

This is a gap analysis evaluating the appropriateness of vancomycin levels tests after the April 1, 2019 transition. All vancomycin levels between April 2019 and June 2019 after the go-live date were included with no exclusions in a retrospective chart review. The primary outcome was the proportion of levels in the appropriate time frame: peaks 1 to 2 hours after infusion with troughs at least 1 half-life after initial dose and prior to the next dose. Secondary outcomes included reasons identified for inappropriate levels and the proportion of AUC₂₄ calculations within therapeutic range (400-600 mg.h/L). Descriptive statistics were used to measure the scope and outcomes of this transition.

RESULTS

The transition was effective with 97% of cases utilizing AUC-based methods. There were 65 vancomycin levels in the 3-month study period with 86% deemed appropriate. Of the 9 inappropriate levels, 4 had to be repeated for accurate monitoring. There were 28 two-level couplets used for AUC₂₄ calculations, 17 (61%) fell within therapeutic range.

CONCLUSION

Implementation strategies for the AUC transition described in tertiary medical centers can be successfully utilized in primary facilities.

Examination of the relationship between management and clinician perception of patient safety climate and patient satisfaction

PURPOSE

The aim of this study was to explore the relationship between managers and clinicians' agreement on deeming the patient safety climate as high or low and the patients' satisfaction with those organizations.

DATA SOURCES/STUDY SETTING

We used two secondary data sets: the Hospital Survey on Patient Safety Culture (2012) and the Hospital Consumer Assessment of Healthcare Providers and Systems (2012).

METHODOLOGY/APPROACH

We used ordinary least squares regressions to analyze the relationship between the extent of agreement between managers and clinicians' perceptions of safety climate in relationship to patient satisfaction. The dependent variables were four Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores: communication with nurses, communication with doctors, communication about medicines, and discharge information. The main independent variables were four groups that were formed based on the extent of managers and clinicians' agreement on four patient safety climate domains: communication openness, feedback and communication about errors, teamwork within units, and teamwork across units.

FINDINGS

After controlling for hospital and market-level characteristics, we found that patient satisfaction was significantly higher if managers and clinicians reported that patient safety climate is high or if only clinicians perceived the climate as high. Specifically, manager and clinician agreement on high levels of communication openness (β = 2.25, p = .01; β = 2.46, p = .05), feedback and communication about errors (β = 3.0, p = .001; β = 2.89, p = .01), and teamwork across units (β = 2.91, p = .001; β = 3.34, p = .01) was positively and significantly associated with patient satisfaction with discharge information and communication about medication. In addition, more favorable perceptions about patient safety climate by clinicians only yielded similar findings.

PRACTICE IMPLICATIONS

Organizations should measure and examine patient safety climate from multiple perspectives and be aware that individuals may have varying opinions about safety climate. Hospitals should encourage multidisciplinary collaboration given that staff perceptions about patient safety climate may be associated with patient satisfaction.

Comparing the Hospital-Acquired Condition Reduction Program and the Accreditation of Cancer Program: A Cross-sectional Study

Under the Hospital-Acquired Condition Reduction Program (HACRP), introduced by the Affordable Care Act, the Centers for Medicare and Medicaid must reduce reimbursement by 1% for hospitals that rank among the lowest performing quartile in regard to hospital-acquired conditions (HACs). This study seeks to determine whether Accredited Cancer Program (ACP) hospitals (as defined by the American College of Surgeons) score differently on the HACRP metrics than nonaccredited cancer program hospitals. This study uses data from the 2014 American Hospital Association Annual Survey database, the 2014 Area Health Resource File, the 2014 Medicare Final Rule Standardizing File, and the FY2017 HACRP database (Medicare Hospital Compare Database). The association between ACPs, HACs, and market characteristics is assessed through multinomial logistic regression analysis. Odds ratios and 95% confidence intervals are reported. Accredited cancer hospitals have a greater risk of scoring in the Worse outcome category of HAC scores, vs Middle or Better outcomes, compared with nonaccredited cancer hospitals. Despite this, they do not have greater odds of incurring a payment reduction under the HACRP measurement system. While ACP hospitals can likely improve scores, questions concerning the consistency of the message between ACP hospital quality and HACRP quality need further evaluation to determine potential gaps or issues in the structure or measurement. ACP hospitals should seek to improve scores on domain 2 measures. Although ACP hospitals do likely see more complex patients, additional efforts to reduce surgical site infections and related HACs should be evaluated and incorporated into required quality improvement efforts. From a policy perspective, policy makers should carefully evaluate the measures utilized in the HACPR.

Resource Dependency and Hospital Performance in Hospital Value-Based Purchasing

To help influence the health care environment as well as the flow of resources into and out of hospitals, the Centers for Medicare & Medicaid Services has implemented a performance incentive initiative called the Hospital Value-Based Purchasing (HVBP) program. As such, this study utilizes the lens of Resource Dependency Theory to evaluate the effect of the external environment on hospital performance as measured by the HVBP program. This study utilizes data from the 2014 American Hospital Association (AHA) Annual Survey database, 2014 Area Health Resource File (AHRF), the 2014 Medicare Final Rule Standardizing File, and the 2014 Medicare Hospital Compare database. The associations between external environment and hospital performance are assessed through multiple regression analysis. Hospital performance scores in the HVBP program are sensitive to environmental factors; however, not all domains are influenced to the same degree. It would seem that hospitals do not have either the same ability or motivation to make changes in each of the value-based purchasing domains. Ultimately, the findings from this study indicate that environmental forces do play a role in hospitals' performance in the HVBP program.

Adoption and learning across hospitals: The case of a revenue-generating practice

Performance-raising practices tend to diffuse slowly in the health care sector. To understand how incentives drive adoption, I study a practice that generates revenue for hospitals: submitting detailed documentation about patients. After a 2008 reform, hospitals could raise their Medicare revenue over 2% by always specifying a patient's type of heart failure. Hospitals only captured around half of this revenue, indicating that large frictions impeded takeup. Exploiting the fact that many doctors practice at multiple hospitals, I find that four-fifths of the dispersion in adoption reflects differences in the ability of hospitals to extract documentation from physicians. A hospital's adoption of coding is robustly correlated with its heart attack survival rate and its use of inexpensive survival-raising care. Hospital-physician integration and electronic medical records are also associated with adoption. These findings highlight the potential for institution-level frictions, including agency conflicts, to explain variations in health care performance across providers.

Implementation of the Centers for Medicare & Medicaid Services' Nonpayment Policy for Preventable Hospital-Acquired Conditions in Rural and Nonrural US Hospitals

Preventable adverse patient outcomes and hospital characteristics in rural versus nonrural US hospitals under the new Centers for Medicare & Medicaid Services reimbursement policy were examined using the American Hospital Association Annual Survey and Hospital Compare data. Under the new Centers for Medicare & Medicaid Services policy, rural hospitals tended to have fewer hospital-acquired conditions than nonrural hospitals except for patient falls. Case mix was consistently related to falls after controlling for hospital characteristics.

Disparities in Temporal and Geographic Patterns of Declining Heart Disease Mortality by Race and Sex in the United States, 1973-2010

BACKGROUND

Examining small-area differences in the strength of declining heart disease mortality by race and sex provides important context for current racial and geographic disparities and identifies localities that could benefit from targeted interventions. We identified and described temporal trends in declining county-level heart disease mortality by race, sex, and geography between 1973 and 2010.

METHODS AND RESULTS

Using a Bayesian hierarchical model, we estimated age-adjusted mortality with diseases of the heart listed as the underlying cause for 3099 counties. County-level percentage declines were calculated by race and sex for 3 time periods (1973-1985, 1986-1997, 1998-2010). Strong declines were statistically faster or no different than the total national decline in that time period. We observed county-level race-sex disparities in heart disease mortality trends. Continual (from 1973 to 2010) strong declines occurred in 73.2%, 44.6%, 15.5%, and 17.3% of counties for white men, white women, black men, and black women, respectively. Delayed (1998-2010) strong declines occurred in 15.4%, 42.0%, 75.5%, and 76.6% of counties for white men, white women, black men, and black women, respectively. Counties with the weakest patterns of decline were concentrated in the South.

CONCLUSIONS

Since 1973, heart disease mortality has declined substantially for these race-sex groups. Patterns of decline differed by race and geography, reflecting potential disparities in national and local drivers of these declines. Better understanding of racial and geographic disparities in the diffusion of heart disease prevention and treatment may allow us to find clues to progress toward racial and geographic equity in heart disease mortality.

The Quality of Surgical and Pneumonia Care in Minority-Serving and Racially Integrated Hospitals

OBJECTIVE

To explore the association between quality of care for surgical and pneumonia patients and the racial/ethnic composition of hospitals' patients.

DATA SOURCE

Our primary data were surgical and pneumonia processes of care indicators from the 2012 Medicare Hospital Compare Data. We merged this data with information from the 2011 American Hospital Association Annual Survey of Hospitals. We computed the racial and ethnic composition of hospital patients using 2008 data from the Healthcare Costs and Utilization Project.

STUDY DESIGN

The sample included 1,198 acute care general hospitals from 11 states: AZ, CA, FL, IA, MA, MD, NC, NJ, NY, WA, and WI. We compared quality across minority-serving, racially integrated, and majority-white hospitals using unconditional quantile regression models controlling for hospital and market characteristics.

PRINCIPAL FINDINGS

We found quality differences between the lowest performing minority-serving, racially integrated, and majority-white hospitals. As we moved from 10th to 90th quantile, the quality differences between hospitals by patients' racial composition disappeared. In other words, the best minority-serving and racially integrated hospitals performed as well as the best majority hospitals.

CONCLUSIONS

Efforts to improve quality of care for patients in minority-serving and racially integrated hospitals should focus on the lowest performers.

Use of foreign-educated nurses and patient satisfaction in U.S. hospitals

PURPOSE

In the context of value-based purchasing, this study examines the association between the utilization of foreign-educated registered nurses (RNs) and patient satisfaction among U.S. acute care hospitals.

DATA SOURCES/STUDY SETTING

We utilized data from the Hospital Consumer Assessment of Healthcare Providers and Systems to measure patient satisfaction and data from the American Hospital Association regarding the utilization of foreign-educated RNs in 2012.

METHODOLOGY/APPROACH

In this study, a cross-sectional design with propensity score adjustment to examine the relationship between use of foreign-educated nurses and 10 patient satisfaction outcome measures. Control variables include hospital size, ownership, geographic location, teaching status, system membership, a high-technology index, and U.S. region based on census categories.

FINDINGS

The utilization of foreign-educated RNs was negatively and significantly related to six patient satisfaction measures. Specifically, hospitals with foreign-educated RNs scored, on average, lower on measures related to nurse communication (β = -0.649, p = .01), doctor's communication (β = -0.837, p ≤ .001), communication about administered drugs (β = -0.539, p = .81), and communication about what to do during their recovery at home (β = -0.571, p = .01). Moreover, hospitals utilizing foreign-educated RNs scored, on average, lower on overall satisfaction measures including rating the hospital as 9 or 10 overall (β = -1.20, p = .005), and patients would definitely recommend the hospital (β = -1.32, p = .006).

PRACTICE IMPLICATIONS

Utilization of foreign-educated RNs is negatively associated with measures of patient satisfaction pertaining to communication and overall perceptions of care. Hospitals that utilize foreign-educated RNs should consider strategies that enhance communication competency and aid improving perception of care among patients.

Who does it first? The uptake of medical innovations in the performance of thrombolysis on ischemic stroke patients in Germany: a study based on hospital quality data

Background

Since 2000, systemic thrombolysis has been the only approved curative and causal treatment for acute ischemic stroke. In 2009, the guidelines of the German Society for Neurology were updated and the therapeutic window for performing thrombolysis was extended. The implementation of new therapies is influenced by many factors. We analyzed the factors at the organizational level that influence the implementation of thrombolysis in stroke patients.

Methods

The data published by the majority of German hospitals in their structured quality reports was assessed. We calculated a regression model in order to measure the influence of hospital/department-level characteristics (e.g., teaching status, ownership, location, and number of hospital beds) on the implementation of thrombolysis in 2006 (this is the earliest point in time that can be analyzed on this data basis). In order to measure the effect of the guideline update in 2009 on the thrombolysis rate (TR) change between 2008 and 2010, we performed a Wilcoxon signed-rank test and utilized a regression model.

Results

In 2006, 61.5% of a total of 286 neurology departments performed systemic thrombolysis to treat ischemic strokes. The influencing factors for the use of systemic thrombolysis in 2006 were the existence of a stroke unit (+) and a hospital size of between 500 and 1,000 beds (−). A significant increase of the mean departmental TR (thrombolysis rate) from 6.7% to 9.2% between 2008 and 2010 was observed after the guideline update in 2009. For the departments performing thrombolysis in 2008 and 2010, our analysis could not show any additional influencing factors on a structural level that would explain the TR rise during the period 2008–2010.

Conclusions

Because ischemic stroke patients benefit from systemic thrombolysis, it is necessary to examine possible barriers at the organizational level that hinder the implementation. Our data shows that, organizational factors have an influence on the implementation of thrombolysis. However, the recent guideline update resulted in a TR rise that occurred at all hospitals, regardless of the measured structural conditions, as our analysis could not identify any structural factors that might have influenced the TR after the guideline update.

Are comparisons of patient experiences across hospitals fair? A study in Veterans Health Administration hospitals

BACKGROUND

Surveys are increasingly used to assess patient experiences with health care. Comparisons of hospital scores based on patient experience surveys should be adjusted for patient characteristics that might affect survey results. Such characteristics are commonly drawn from patient surveys that collect little, if any, clinical information. Consequently some hospitals, especially those treating particularly complex patients, have been concerned that standard adjustment methods do not adequately reflect the challenges of treating their patients.

OBJECTIVES

To compare scores for different types of hospitals after making adjustments using only survey-reported patient characteristics and using more complete clinical and hospital information.

RESEARCH DESIGN

We used clinical and survey data from a national sample of 1858 veterans hospitalized for an initial acute myocardial infarction (AMI) in a Department of Veterans Affairs (VA) medical center during fiscal years 2003 and 2004. We used VA administrative data to characterize hospitals. The survey asked patients about their experiences with hospital care. The clinical data included 14 measures abstracted from medical records that are predictive of survival after an AMI.

RESULTS

Comparisons of scores across hospitals adjusted only for patient-reported health status and sociodemographic characteristics were similar to those that also adjusted for patient clinical characteristics; the Spearman rank-order correlations between the 2 sets of adjusted scores were >0.97 across 9 dimensions of inpatient experience.

CONCLUSIONS

This study did not support concerns that measures of patient care experiences are unfair because commonly used models do not adjust adequately for potentially confounding patient clinical characteristics.

Cardiovascular medication utilization and adherence among adults living in rural and urban areas: a systematic review and meta-analysis

BACKGROUND

Rural residents face numerous barriers to healthcare access and studies suggest poorer health outcomes for rural patients. Therefore we undertook a systematic review to determine if cardiovascular medication utilization and adherence patterns differ for rural versus urban patients.

METHODS

A comprehensive search of major electronic datasets was undertaken for controlled clinical trials and observational studies comparing utilization or adherence to cardiovascular medications in rural versus urban adults with cardiovascular disease or diabetes. Two reviewers independently identified citations, extracted data, and evaluated quality using the STROBE checklist. Risk estimates were abstracted and pooled where appropriate using random effects models. Methods and reporting were in accordance with MOOSE guidelines.

RESULTS

Fifty-one studies were included of fair to good quality (median STROBE score 17.5). Although pooled unadjusted analyses suggested that patients in rural areas were less likely to receive evidence-based cardiovascular medications (23 studies, OR 0.88, 95% CI 0.79, 0.98), pooled data from 21 studies adjusted for potential confounders indicated no rural-urban differences (adjusted OR 1.02, 95% CI 0.91, 1.13). The high heterogeneity observed (I(2) = 97%) was partially explained by treatment setting (hospital, ambulatory care, or community-based sample), age, and disease. Adherence did not differ between urban versus rural patients (3 studies, OR 0.94, 95% CI 0.39, 2.27, I(2) = 91%).

CONCLUSIONS

We found no consistent differences in rates of cardiovascular medication utilization or adherence among adults with cardiovascular disease or diabetes living in rural versus urban settings. Higher quality evidence is needed to determine if differences truly exist between urban and rural patients in the use of, and adherence to, evidence-based medications.

Association between clinical decision support system use and rural quality disparities in the treatment of pneumonia

PURPOSE

To determine whether there is an association between clinical decision support system (CDSS) use and quality disparities in pneumonia process indicators between rural and urban hospitals.

METHODS

Data were used from the FY 2009 American Hospital Association electronic health record (EHR) adoption survey (3,616 responding hospitals) to identify hospitals that used CDSS for clinical guidelines and reminders. This was linked to the 2009 Hospital Compare data set from the Centers for Medicare and Medicaid Services (3,805 reporting hospitals). The merged data set contained 2,405 hospitals: 1,330 were noncritical in metropolitan ZIP Code Tabulation Areas (ZCTAs), 692 were noncritical in rural ZCTAs, and there were 383 critical access hospitals (CAHs; 359 in rural ZCTAs, 24 in urban ZCTAs). The dependent variable was a pneumonia composite quality score, composed of 6 pneumonia process indicators calculated for each hospital. Adjusted analysis controlled for a hospital's propensity to use CDSS.

FINDINGS

While quality was lower in rural institutions, unadjusted pneumonia quality scores varied modestly, from 90.08% in CAHs to 93.38% in urban hospitals. Hospitals that used CDSS had higher unadjusted pneumonia process composite scores than their non-CDSS counterparts. After controlling for CDSS use, the propensity for CDSS use, and hospital and community characteristics, hospitals in rural ZCTAs did not have significantly different process composite scores than their metropolitan counterparts.

CONCLUSIONS

CDSS was positively associated with quality of care for pneumonia. Adoption of EHRs with CDSS functionality in rural hospitals may serve to reduce quality gaps. Costs of EHR implementation may be a barrier to this process.

Hospital performance trends on national quality measures and the association with Joint Commission accreditation

BACKGROUND

Evaluations of the impact of hospital accreditation have been previously hampered by the lack of nationally standardized data. One way to assess this impact is to compare accreditation status with other evidence-based measures of quality, such as the process measures now publicly reported by The Joint Commission and the Centers for Medicare and Medicaid Services (CMS).

OBJECTIVES

To examine the association between Joint Commission accreditation status and both absolute measures of, and trends in, hospital performance on publicly reported quality measures for common diseases.

DESIGN, SETTING, AND PATIENTS

Performance data for 2004 and 2008 from U.S. acute care and critical access hospitals were obtained using publicly available CMS Hospital Compare data augmented with Joint Commission performance data.

MEASUREMENTS

Changes in hospital performance between 2004 and 2008, and percent of hospitals with 2008 performance exceeding 90% for 16 measures of quality-of-care and 4 summary scores.

RESULTS

Hospitals accredited by The Joint Commission tended to have better baseline performance in 2004 than non-accredited hospitals. Accredited hospitals had larger gains over time, and were significantly more likely to have high performance in 2008 on 13 out of 16 standardized clinical performance measures and all summary scores.

CONCLUSIONS

While Joint Commission-accredited hospitals already outperformed non-accredited hospitals on publicly reported quality measures in the early days of public reporting, these differences became significantly more pronounced over 5 years of observation. Future research should examine whether accreditation actually promotes improved performance or is a marker for other hospital characteristics associated with such performance. Journal of Hospital Medicine 2011;6:458-465. © 2011 Society of Hospital Medicine.

Rural hospital nursing: results of a national survey of nurse executives

OBJECTIVE

The objective of the study was to describe nursing characteristics in small and larger rural hospitals and determine whether differences exist in market, hospital, and nursing characteristics.

BACKGROUND

A better description of nursing in rural settings is needed to understand the work context.

METHODS

A national sample of rural hospital nurse executives (n = 280) completed the Nurse Environment Survey and Essentials of Magnetism instrument.

RESULTS

Larger rural hospitals are more likely than small hospitals to have a clinical ladder (32.4% vs 19.4%), more baccalaureate-prepared RNs (20.8% vs 17.1%), greater perceived economic (mean, 9.5 vs 8.5) and external influences (mean, 41.1 vs 39.8), lower shared vision among hospital staff (mean, 18.4 vs 19.4), and higher levels of quality and safety engagement (mean, 16.9 vs 16.1). Most nurses employed in rural hospitals are educated at the associate degree (77.4%) level.

CONCLUSIONS

Contextual differences exist between small and larger rural hospitals. To promote the best patient outcomes, attention to contextual differences is needed to tailor nursing interventions to fit the resources, environment, and patient needs in a given healthcare setting.

Benchmarking for small hospitals: size didn't matter!

Benchmarking is an indispensable tool as hospital leaders face challenges to balance efficiency with safe and effective care. Selection of appropriate "like" hospitals is critical to the benchmarking aim of understanding comparative performance. Based on 10 years of observed outcome differences between small and large hospitals, the Collaborative Alliance for Nursing Outcomes (CALNOC) sought to empirically define small hospitals, and to determine if there were statistical differences between small and large hospitals for selected nursing sensitive outcome indicators. This article reports the examination of hospital size as a proxy characteristic to define "like" hospitals for the purpose of benchmarking outcomes. Findings suggest that optimal classifications into small and large hospital size based on the outcome indicators of falls, falls with injury, and hospital-acquired pressure ulcers stage 2 or worse (HAPU 2+) were not consistent with historical administrative categories based on average daily census and not consistent by outcome. Statistical differences were only found with HAPU 2+ in critical care units, with no differences in the fall outcomes. These data did not support the use of size-based categories to define like hospitals for benchmark comparisons.

Is there an association between quality of in-hospital cardiac care and proportion of low-income patients?

BACKGROUND

Process measures have been developed and implemented to evaluate the quality of care patients receive in the hospital. This study examines whether there is an association between the quality of in-hospital cardiac care and a hospital's proportion of low-income patients.

METHODS AND RESULTS

A retrospective analysis of 1979 hospitals submitting information on 12 quality of care (QoC) process measures for acute myocardial infarction (AMI) and congestive heart failure (CHF) patients to the Hospital Quality Alliance during 2005 and 2006 and meeting all study inclusion criteria. Mean hospital performance ranged from 84.2% (ACE inhibitor for left ventricular systolic dysfunction) to 95.9% (aspirin on arrival) for AMI QoC process measures and from 64.4% (discharge instructions) to 92.4% (left ventricular function assessment) for CHF QoC process measures. Regression analyses indicated a statistically significant negative association between the proportion of low-income patients and hospital performance for 10 of the 12 cardiac QoC process measures, after controlling for selected hospital characteristics.

CONCLUSIONS

Hospital adherence to QoC process measures for AMI and CHF patients declined as the proportion of low-income patients increased. Future research is needed to examine the role of community characteristics and market forces on the ability of hospitals with a disproportionate share of low-income patients to maintain the staffing, equipment, and policies necessary to provide the recommended standards of care for AMI and CHF patients.

Characteristics of hospitals demonstrating superior performance in patient experience and clinical process measures of care

Prior research suggests hospital quality of care is multidimensional. In this study, the authors jointly examine patient experience of care and clinical care measures from 2,583 hospitals based on inpatients discharged in 2006 and 2007. The authors use multinomial logistic regression to identify key characteristics of hospitals that perform in the top quartile on both, either, and neither dimension of quality. Top performers on both quality measures tend to be small (<100 beds), large (>200 beds) and rural, located in the New England or West North Central Census divisions, and nonprofit. Top performers in patient experience only are most often small and rural, located in the East South Central division, and government owned. Top performers in clinical care only are most often medium to large and urban, located in the West North Central division, and non-government owned. These findings provide an overview of how these dimensions of quality vary across hospitals.