The association between bed occupancy rates and hospital quality in the English National Health Service

We study whether hospitals that exhibit systematically higher bed occupancy rates are associated with lower quality in England over 2010/11–2017/18. We develop an economic conceptual framework to guide our empirical analysis and run regressions to inform possible policy interventions. First, we run a pooled OLS regression to test if high bed occupancy is associated with, and therefore acts as a signal of, lower quality, which could trigger additional regulation. Second, we test whether this association is explained by exogenous demand–supply factors such as potential demand, and unavoidable costs. Third, we include determinants of bed occupancy (beds, length of stay, and volume) that might be associated with quality directly, rather than indirectly through bed occupancy. Last, we use a within-between random-effects specification to decompose these associations into those due to variations in characteristics between hospitals and variations within hospitals. We find that bed occupancy rates are positively associated with overall and surgical mortality, negatively associated with patient-reported health gains, but not associated with other indicators. These results are robust to controlling for demand–supply shifters, beds, and volume. The associations reduce by 12%-25% after controlling for length of stay in most cases and are explained by variations in bed occupancy between hospitals.

     

Variation in unit costs of hospitals in the English National Health Service

OBJECTIVES: In England, the Department of Health places high priority on reducing the variation in unit costs of National Health Service (NHS) hospitals. Efficiency targets are set for hospitals to create incentives for relatively high cost hospitals to reduce their costs and shift performance closer to that of their lower cost counterparts. We examine empirically the dispersion in unit costs to assess the extent of variation in the productivity of hospitals and trends over time. METHODS: We use econometric panel data techniques on data from 235 NHS acute hospital trusts over a six-year period, 1994/95 to 1999/00, supplemented with information from semi-structured interviews with key individuals in hospitals and purchasing bodies. RESULTS: There appears to have been no reduction in variation during this period. Relative unit costs for individual trusts also appear stable, with little movement from relatively high cost to low cost. Judging from limited quantitative evidence outside health care, the variation in costs between NHS hospitals may be comparatively low. CONCLUSIONS: Given all the other aspects of hospital performance that government is seeking to change, reduction in the dispersion of unit costs per se should not be a major policy objective. It is far more important to examine variation in quality-adjusted unit costs.     

The Resource Management Initiative in the English National Health Service.

The Resource Management Initiative (RMI) is a policy thrust designed to more effectively utilize current expenditures in the United Kingdom's National Health Service by (1) integrating clinicians into management through a "clinical directorate," (2) establishing a closer external audit of the medical profession, and (3) implementing information systems. This article reviews the results from the first RMI sites and suggests a fit between the RMI effort and current programs in total quality management and continuous quality improvement.     

New localism in the English National Health Service: What is it for?

This paper discusses the decentralisation in the English National Health Service (and the new organisational form of Foundation Trusts, in particular) in the context of the trend for decentralising public services generally since the New Labour government started its second term of office in 2001. It considers the likelihood of decentralisation achieving the aims policy makers have set: these are better services and an increase in local people's participation in the planning and running of services (active citizenship). Looking at the evidence to date, both about decentralisation of health services and about Foundation Trusts, the achievement of these goals seems uncertain.     

Impact of socioeconomic status on Brazilian elderly health

OBJECTIVE: To investigate the impact of socioeconomic status on elderly health. METHODS: The study was based on cross-sectional data from Survey on Health, Well-Being, and Aging in Latin America and the Caribbean. The sample comprised 2,143 non-institutionalized elderly aged 60 years and older living in the urban area of S?o Paulo, southeastern Brazil. Linear regression models estimated the effect of socioeconomic status indicators (years of schooling completed, occupation and purchasing power) on each one of the following health indicators: depression, self-rated health, morbidity and memory capacity. A 5% significance level was set. RESULTS: There was a significant effect of years of education and purchasing power on self-rated health and memory capacity when controlled for the variables number of diseases during childhood, bed rest for at least a month due to health problems during childhood, self-rated health during childhood, living arrangements, sex, age, marital status, category of health insurance, intake of medicines. Only purchasing power had an effect on depression. Despite the bivariate association between socioeconomic status indicators and number of diseases (morbidity), this effect was no longer seen after including the controls in the model. CONCLUSIONS: The study results confirm the association between socioeconomic status indicators and health among Brazilian elderly, but only for some dimensions of socioeconomic status and certain health outcomes.     

Effects of socioeconomic status on patients' outcome after total knee arthroplasty.

OBJECTIVE: To identify whether patients in lower socioeconomic groups had worse pain and functional levels prior to total knee arthroplasty and then establish whether these patients had poorer post-operative outcomes following total knee arthroplasty. METHOD: Data was obtained from a prospective observational study of 974 patients undergoing primary total knee arthroplasty for osteoarthritis. The study was undertaken in 13 centers in 4 countries. Pre-operative data was collected and patients were followed for 2 years post-operatively. Pre-operative details of the patients' demographics; socioeconomic status (SES) (education and income); height; weight and co-morbid conditions were obtained. The WOMAC scores were obtained preoperatively and during follow-up. RESULTS: Using multivariate linear regression analysis, patients with a lower income had a significantly worse pre-operative WOMAC Pain (P = 0.021) and function score (P = 0.039) than those with higher incomes. However, income did not have a significant impact on outcome at final follow-up after adjusting for other significant covariates. Level of education did not correlate with pre-operative scores or with outcome at any time during follow-up. CONCLUSION: Across all four countries, patients with lower incomes appeared to have a greater need for total knee arthroplasty. However, level of income and educational status did not appear to affect the final outcome following total knee arthroplasty. Patients with lower incomes appeared able to compensate for their worse pre-operative score and obtain similar outcomes post-operatively. These findings are in contrast to studies on other medical conditions and surgical interventions, in which a lower SES has been found to have a negative impact on patient outcomes.     

Modifying clinical practice: two initiatives in the English National Health Service

Two information systems in the English National Health Service (NHS) are described and discussed. The performance indicator scheme enables service inputs and activity to be readily compared between district health authorities (DHAs) or hospitals. Quality of care is not measured directly by performance indicators but in certain circumstances a limited assessment may be inferred from the health service input and activity data. Experiments in management budgeting and resource management are reported in which the NHS accounting system is being changed to one which is more patient-based and from which costs can be identified for clinically meaningful groups of patients. Variation in service activity, derived from the performance indicator system, has been used by the government with other evidence to make the case for NHS reform. Realistic implementation of the proposed NHS reforms will depend on the success of the budgeting experiments.     

Threshold for Computer- and Robot-Assisted Knee and Hip Replacements in the English National Health Service

ObjectivesTo estimate threshold prices for computer- and robot-assisted knee and hip replacement.MethodsA lifetime cohort Markov model provided the framework for analysis. Linked primary care and inpatient hospital records informed estimates of outcomes under current practice. Outcomes were estimated under a range of hypothetical relative improvements in quality of life if unrevised and in revision risk after computer or robot-assisted surgery. Threshold prices, a price at which the net health benefit from funding the intervention would be zero, for these improvements were estimated for a cost-effectiveness threshold of £20 000 per additional quality-adjusted life-year (QALY) gained.ResultsFor average patient profiles under current knee and hip replacement practice, lifetime QALYs were 10.3 (9.9 to 10.7) and 11.0 (10.6 to 11.4), with costs of £6060 (£5947 to £6203) and £6506 (£6335 to £6710) for knee and hip replacement, respectively. A combined 50% relative reduction in risk of revision and 5% improvement in postoperative quality of life if unrevised would, for example, result in QALYs increasing to 10.9 (10.4 to 11.3) and 11.6 (11.2 to 12.0), and costs falling to £5880 (£5816 to £5956) and £6258 (£6149 to £6376) after knee and hip replacement, respectively. These particular improvements would have an associated threshold price of £11 182 (£10 691 to £11 721) for knee replacement and £12 134 (£11 616 to £12 701) for hip replacement. The 50% reduction in revision rate alone would have associated threshold prices of £1094 (£788 to £1488) and £1347 (£961 to £1842), and the 5% improvement in quality of life alone would have associated threshold prices of £9911 (£9476 to £10 296) and £10 578 (£10 171 to £10 982).ConclusionsAt current prices, computer- and robot-assisted knee and hip replacement will likely need to lead to improvements in patient-reported outcomes in addition to any reduction in the risk revision.     

Influence of patients' socioeconomic status on clinical management decisions: a qualitative study

PURPOSE Little is known about how patients’ socioeconomic status (SES) influences physicians’ clinical management decisions, although this information may have important implications for understanding inequities in health care quality. We investigated physician perspectives on how patients’ SES influences care.METHODS The study consisted of in-depth semistructured interviews with primary care physicians in Connecticut. Investigators coded interviews line by line and refined the coding structure and interview guide based on successive interviews. Recurrent themes emerged through iterative analysis of codes and tagged quotations.RESULTS We interviewed 18 physicians from varied practice settings, 6 female, 9 from minority racial backgrounds, and 3 of Hispanic ethnicity. Four themes emerged from our interviews: (1) physicians held conflicting views about the effect of patient SES on clinical management, (2) physicians believed that changes in clinical management based on the patient’s SES were made in the patient’s interest, (3) physicians varied in the degree to which they thought changes in clinical management influenced patient outcomes, and (4) physicians faced personal and financial strains when caring for patients of low SES.CONCLUSIONS Physicians indicated that patient SES did affect their clinical management decisions. As a result, physicians commonly undertook changes to their management plan in an effort to enhance patient outcomes, but they experienced numerous strains when trying to balance what they believed was feasible for the patient with what they perceived as established standards of care.     

Impact of health services delivery on hospital admission utilization in Brazil

OBJECTIVE: To assess hospital services utilization in Brazil incorporating information about health services delivery. METHODS: Data from the National Household Survey carried out by Brazilian Institute of Statistics and Geography (IBGE) in 1998 and from other sources were collected. Hierarchical models having the individual in the first level and the state of residence in the second level were used. Two models were separately adjusted for adults and children: logistic regression was used when to have been or not admitted was the response variable, and Poisson's regression was used when the number of admissions was the response variable. This last model was adjusted only for those individuals who had been admitted at least once. RESULTS: The main determinant of hospital admissions was health need. Poor people were more likely to be admitted when controlling for health needs and enabling factors (health insurance coverage and regular health service). Only 1 to 3% of the variability in hospital admission utilization could be attributed to differences in services delivery at the state level. In the logistic models, the number of beds was positively associated and the number of doctors was negatively associated with the likelihood of admission. Poisson's models did not show any delivery variables associated with the likelihood of admission. CONCLUSIONS: These results suggest a delivery-induced demand impact concerning hospital beds. The inverse association of the number of doctors and hospital admissions suggests the impact of outpatient care on hospital utilization.     

Assessment of nutritional status on hospital admission: nutritional scores

Malnutrition is still a largely unrecognized problem in hospitals. Malnutrition in hospitalized patients is generally related to increasing morbidity and mortality, and costs and length of stay. The aim of this study was to assess the nutritional status of patients on admission to a general hospital using different nutritional scores and to test the sensitivity and specificity of these scores. Sample population included 60 patients (55% male; 45% female) selected (aged 65.6+/-15.9 y) at random by using a computer software program. The nutritional state assessment was performed within 48 h of admission, using different nutritional indices (Subjective Global Assessment (SGA), Nutritional Risk Index (NRI), Gassull classification, Instant Nutritional Assessment (INA) and a combined index). About 78.3% of patients were found to be malnourished on admission. The frequency of malnutrition degree varied from 63.3% as assessed by the SGA to 90% with the NRI. Malnutrition severity was not related to the diagnosis. However, an elderly population was associated with a higher prevalence of malnutrition. INA was the best single score to identify patients who are malnourished or at risk of malnutrition and who may benefit from nutrition support.