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Because there's no scientific evidence to support specific nurse-patient ratios, and in order to assess the impact of hospital nurse staffing levels on given patient, nurse, and financial outcomes, the author conducted a literature review. The evidence shows that adequate staffing and balanced workloads are central to achieving good outcomes, and the author offers recommendations for ensuring appropriate nurse staffing and for further research.

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These results indicate that the assessment of unadjusted RN staffing by RN to patient ratios alone underestimates nursing workload and overstates RN staffing levels. Patient turnover, as well as severity, should be taken into account in staffing assessment and decision making.

BackgroundCountries rely on out-of-pocket (OOP) spending to different degrees and employ varying techniques. The article examines trends in OOP spending in ten high-income countries since 2000, and analyzes their relationship to self-assessed barriers to accessing health care services. The countries are Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the United Kingdom, and the United States.MethodsData from three sources are employed: OECD statistics, the Commonwealth Fund survey of individuals in each of ten countries, and country-specific documents on health care policies. Based on trends in OOP spending, we divide the ten countries into three groups and analyze both trends and access barriers accordingly. As part of this effort, we propose a conceptual model for understanding the key components of OOP spending.ResultsThere is a great deal of variation in aggregate OOP spending per capita spending but there has been convergence over time, with the lowest-spending countries continuing to show growth and the highest spending countries showing stability. Both the level of aggregate OOP spending and changes in spending affect perceived access barriers, although there is not a perfect correspondence between the two.ConclusionsThere is a need for better understanding the root causes of OOP spending. This will require data collection that is broken down into OOP resulting from cost sharing and OOP resulting from direct payments (due to underinsurance and lacking benefits). Moreover, data should be disaggregated by consumer groups (e.g. income-level or health status). Only then can we better link the data to specific policies and suggest effective solutions to policy makers.

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A historically fragmented U.S. health care system, where care has been delivered by multiple providers with little or no coordination, has led to increasing issues with access, cost, and quality. The Affordable Care Act included provisions to use Medicare, the U.S. near universal public coverage program for older adults, to broadly implement Accountable Care Organization (ACO) models with a triple aim of improving the experience of care, the health of populations, and reducing per capita costs. Private payers in the U.S. are also embracing ACO models. Various European countries are experimenting with similar reforms, particularly those in which coordinated (or integrated) care from a network of providers is reimbursed with bundled payments and/or shared savings. The challenges for these reforms remain formidable and include: (1) overcoming incentives for ACOs to engage in rationing and denial of care and taking on too much financial risk, (2) collecting meaningful data that capture quality and enable rewarding quality improvement and not just volume reduction, (3) creating incentives for ACOs that do not accept much risk to engage in prevention and health promotion, and (4) creating effective governance and IT structures that are patient-centered and integrate care.