Objective. To compare safety climate between diverse U.S. hospitals and Veterans Health Administration (VA) hospitals, and to explore the factors influencing climate in each setting.

Data Sources. Primary data from surveys of hospital personnel; secondary data from the American Hospital Association's 2004 Annual Survey of Hospitals.

Study Design. Cross-sectional study of 69 U.S. and 30 VA hospitals.

Data Collection. For each sample, hierarchical linear models used safety-climate scores as the dependent variable and respondent and facility characteristics as independent variables. Regression-based Oaxaca–Blinder decomposition examined differences in effects of model characteristics on safety climate between the U.S. and VA samples.

Principal Findings. The range in safety climate among U.S. and VA hospitals overlapped substantially. Characteristics of individuals influenced safety climate consistently across settings. Working in southern and urban facilities corresponded with worse safety climate among VA employees and better safety climate in the U.S. sample. Decomposition results predicted 1.4 percentage points better safety climate in U.S. than in VA hospitals: −0.77 attributable to sample-characteristic differences and 2.2 due to differential effects of sample characteristics.

Conclusions. Results suggest that safety climate is linked more to efforts of individual hospitals than to participation in a nationally integrated system or measured characteristics of workers and facilities.

Objective

To determine whether eligible extremely-low-birth-weight children (<1000g) were enrolled in the federally enacted, state-coordinated Early Intervention (EI) program intended to help children with developmental delay or disability regardless of parental income, and the factors associated with enrollment.

Methods

Retrospective analysis of 884 EI-eligible ELBW children born in South Carolina with birth weight 401 to 999g, gestation ≥24 weeks, and survival for the first 120 days of life. We created a linked data set with data from Early Intervention (1996–2001), Vital Records (1996–1998), death certificates, and Medicaid. Each child was followed from birth to 3 years old, the program eligibility period.

Results

A total of 54% of ELBW children were enrolled in EI at any time from birth to 36 months. Even among children ever enrolled in Medicaid (83% of all ELBW children), only 63% were enrolled in EI. Being born in a multiple gestational birth, having heavier birth weight (750 to 999g), and having ever enrolled in Medicaid were positively associated with EI enrollment. Among Medicaid patients for whom perinatal data were available, additional risk adjustment showed that EI enrollment was more likely with birth in level 3 hospitals, birth weight 750 to 999g, Neonatal Medical Index severity level V (most severe), and longer initial length of hospital stay.

Conclusions

Only about half of eligible ELBW children in South Carolina were enrolled—much lower than reported elsewhere. Efforts are needed to understand why eligible infants are not being enrolled and to develop strategies to remedy the situation.

The current focus of the health reform debate is rightfully beginning to shift to the need to transform the delivery system to contain the long run growth in costs. Although much of the debate still focuses on the role of a public plan, this ignores the need for fundamental change. None of the options on the table will transform the delivery system. If passed, the best the current proposals could do is to expand enrollment and perhaps contain federal costs, but on its own the public plan will be unable to make the delivery system more efficient.

To control health care costs, I propose a publicly chartered major risk pool, or MRP, that
will allow plans to pool risk, thereby eliminating the need for wasteful underwriting and
selective marketing costs. Participation in the MRP by both providers and insurers is
voluntary. It can be combined with any public option in an exchange implemented at the
federal or state level; it can even work without a public option. After a brief transition
period, the MRP requires no federal funds and will not be “on budget.” By allowing private plans to play a role in a transformed insurance and delivery system, the MRP can be politically attractive to a broader constituency than any of the current proposals.

The MRP addresses a key component of comprehensive health reform: restructuring the
delivery system. It is not a simple reinsurance pool that reimburses health plans for high costclaims. Instead, it creates a reformed payment system for both inpatient care and outpatient chronic care that will encourage efficiency and quality. The MRP will cover inpatient and similar short but expensive episodes, as well as chronic illness management. Its new payment approaches will achieve the efficiency goals promised by proposals for hospital medical staff-focused Accountable Care Organizations, but in an organizationally more plausible manner. Hospitals and physicians who focus on inpatient care and voluntarily form Care Delivery Teams will receive bundled episode-based payments, but the MRP will pay providers regardless of whether they belong to a Care Delivery Team, although at less attractive rates. Providers in these teams can use their bargaining power to charge the primary insurers more than the MRP pays. The MRP’s payments for monthly chronic illness management will give health plans and primary care physicians the incentives, flexibility, and information to more effectively compensate clinicians for the care they deliver and coordinate. By being publicly chartered, but independent of Congress, and by allowing options for all players, the MRP will be able to sidestep the ability of special interests to block change.

As pressure builds on the White House and Congress to deliver on their promise of health care reform, the idea of a government health insurance company to compete with for-profit and not-for-profit private companies is gaining political momentum. Advocates claim that this new company would be more efficient, honest, and successful in forcing lower reimbursement rates on physicians and hospitals. However, a close look at how the present health care system functions, what its major problems are, and what reforms are needed to solve them suggests that this new idea is not the answer. The three major problems of the current U.S. system are that 45 million to 50 million people have no health insurance, the cost of care is high and rapidly increasing, and there are gross lapses in the quality of care. There is no reason to think that a government insurance company would make a significant dent in any one of these problems, let alone all three. To do that would require real reform in the financing, organization, and delivery of care.

Background

Although the Accreditation Council for Graduate Medical Education (ACGME) limits the work hours of residents, concerns about fatigue persist. A new Institute of Medicine (IOM) report recommends, among other changes, improved adherence to the 2003 ACGME limits, naps during extended shifts, a 16-hour limit for shifts without naps, and reduced workloads.

Methods

We used published data to estimate labor costs associated with transferring excess work from residents to substitute providers, and we examined the effects of our assumptions in sensitivity analyses. Next, using a probability model to represent labor costs as well as mortality and costs associated with preventable adverse events, we determined the net costs to major teaching hospitals and cost-effectiveness across a range of hypothetical changes in the rate of preventable adverse events.

Results

Annual labor costs from implementing the IOM recommendations were estimated to be $1.6 billion (in 2006 U.S. dollars) across all ACGME-accredited programs ($1.1 billion to $2.5 billion in sensitivity analyses). From a 10% decrease to a 10% increase in preventable adverse events, net costs per admission ranged from $99 to $183 for major teaching hospitals and from $17 to $266 for society. With 2.5% to 11.3% decreases in preventable adverse events, costs to society per averted death ranged from $3.4 million to $0.

Conclusions

Implementing the four IOM recommendations would be costly, and their effectiveness is unknown. If highly effective, they could prevent patient harm at reduced or no cost from the societal perspective. However, net costs to teaching hospitals would remain high.

Rationale: Timeliness is one of six important dimensions of health care quality recognized by the Institute of Medicine. Objectives: To evaluate timeliness of lung cancer care and identify institutional characteristics associated with timely care within the VA Health Care System. Methods: We used data from a VA nation-wide retrospective chart review and an independent audit of VA cancer programs to examine the association between time to first treatment and potentially explanatory institutional characteristics (e.g. volume of lung cancer patients) for 2,372 veterans diagnosed with lung cancer between 1/1/02 and 9/1/05 at 127 VA medical centers. We developed linear mixed effects models to control for clustering of patients within hospitals and stratified analyses by stage. Measurements and Main Results: Median time to treatment varied widely between (23 to 182 days) and within facilities. Median time to treatment was 90 days in stage I or II patients and 52 days in those with more advanced disease (p<0.0001). Factors associated with shorter times to treatment included a non-academic setting and the existence of a specialized diagnostic clinic (in patients with limited stage disease), performing a patient flow analysis (in patients with advanced disease), and leadership beliefs about providing timely care (in both groups). However, institutional characteristics explained <1% of the observed variation in treatment times. Conclusions: Time to lung cancer treatment in U.S. veterans is highly variable. The numerous institutional characteristics we examined explained relatively little of this variability, suggesting that patient, clinician, and/or unmeasured institutional characteristics may be more important determinants of timely care.

Understanding the factors that affect physicians' job satisfaction is important not only to physicians themselves, but also to patients, health system managers, and policy makers. Physicians represent the crucial resource in health-care delivery. In order to enhance efficiency and quality in health care, it is indispensable to analyse and consider the motivators of physicians. Physician job satisfaction has significant effects on productivity, the quality of care, and the supply of physicians.

The purpose of our study was to assess the associations between work-related monetary and non-monetary factors and physicians' work satisfaction as perceived by similar groups of physicians practicing at academic medical centres in Germany and the U.S.A., two countries that, in spite of differing health-care systems, simultaneously experience problems in maintaining their physician workforce. We used descriptive statistics, factor and correlation analyses to evaluate physicians' responses to a self-administered questionnaire.

Our study revealed that overall German physicians were less satisfied than U.S. physicians. With respect to particular work-related predictors of job satisfaction we found that similar factors contributed to job satisfaction in both countries. To improve physicians' satisfaction with working conditions, our results call for the implementation of policies that reduce the time burden on physicians to allow more time for interaction with patients and colleagues, increase monetary incentives, and enhance physicians' participation in the development of care management processes and in managerial decisions that affect patient care.

OBJECTIVE: To assess and compare alternative approaches of measuring preference-based health-related quality of life (HRQoL) in treatment-experienced HIV patients and evaluate their association with health status and clinical variables. DESIGN: Cross-sectional study.

SETTING: Twenty-eight Veterans Affairs hospitals in the United States, 13 hospitals in Canada, and 8 hospitals in the United Kingdom.

PATIENTS: Three hundred sixty-eight treatment-experienced HIV-infected patients enrolled in the Options in Management with Antiretrovirals randomized trial.

MEASUREMENTS: Baseline sociodemographic and clinical indicators and baseline HRQoL using the Medical Outcome Study HIV Health Survey (MOS-HIV), the EQ-5D, the EQ-5D visual analog scale (EQ-5D VAS), the Health Utilities Index Mark 3 (HUI3), and standard gamble (SG) and time trade-off (TTO) techniques. RESULTS: The mean (SD) baseline HRQoL scores were as follows: MOS-HIV physical health summary score 41.70 (11.16), MOS-HIV mental health summary score 44.76 (11.38), EQ-5D 0.77 (0.19), HUI3 0.59 (0.32), EQ-5D VAS 65.94 (21.71), SG 0.75 (0.29), and TTO 0.80 (0.31). Correlations between MOS-HIV summary scores and EQ-5D, EQ-5D VAS, and HUI3 ranged from 0.60 to 0.70; the correlation between EQ-5D and HUI3 was 0.73; and the correlation between SG and TTO was 0.43. Preference-based HRQoL scores were related to physical, mental, social, and overall health as measured by MOS-HIV. Concomitant medication use, CD4 cell count, and HIV viral load were related to some instruments' scores.

CONCLUSIONS: On average, preference-based HRQoL for treatment-experienced HIV patients was decreased relative to national norms but also highly variable. Health status and clinical variables were related to HRQoL.

BACKGROUND: Concern about patient safety has promoted efforts to improve safety climate. A better understanding of how patient safety climate differs among distinct work areas and disciplines in hospitals would facilitate the design and implementation of interventions. OBJECTIVES: To understand workers' perceptions of safety climate and ways in which climate varies among hospitals and by work area and discipline. RESEARCH DESIGN: We administered the Patient Safety Climate in Healthcare Organizations survey in 2004-2005 to personnel in a stratified random sample of 92 US hospitals. SUBJECTS: We sampled 100% of senior managers and physicians and 10% of all other workers. We received 18,361 completed surveys (52% response). MEASURES: The survey measured safety climate perceptions and worker and job characteristics of hospital personnel. We calculated and compared the percent of responses inconsistent with a climate of safety among hospitals, work areas, and disciplines. RESULTS: Overall, 17% of responses were inconsistent with a safety climate. Patient safety climate differed by hospital and among and within work areas and disciplines. Emergency department personnel perceived worse safety climate and personnel in nonclinical areas perceived better safety climate than workers in other areas. Nurses were more negative than physicians regarding their work unit's support and recognition of safety efforts, and physicians showed marginally more fear of shame than nurses. For other dimensions of safety climate, physician-nurse differences depended on their work area. CONCLUSIONS: Differences among and within hospitals suggest that strategies for improving safety climate and patient safety should be tailored for work areas and disciplines.