Does Hospital Competition Improve Efficiency? The Effect of the Patient Choice Reform in England

We use the 2006 relaxation of constraints on patient choice of hospital in the English NHS to investigate the effect of hospital competition on dimensions of efficiency including indicators of resource management (admissions per bed, bed occupancy rate, proportion of day cases, and cancelled elective operations) and costs (reference cost index for overall and elective activity, cleaning services costs, laundry and linen costs). We employ a quasi differences-in-differences approach and estimate seemingly unrelated regressions and unconditional quantile regressions with data on hospital trusts from 2002/03 to 2010/11. Our findings suggest that increased competition had mixed effects on efficiency. An additional equivalent rival increased admissions per bed by 1.1%, admissions per doctor by 0.9% and the proportion of day cases by 0.38 percentage points, but it also increased the number of cancelled elective operations by 2.5%

Measuring Inequalities in the Distribution of Health Workers: The case of Tanzania.

The overall human resource shortages and the distributional inequalities in the health workforce in many developing countries are well acknowledged. However, little has been done to measure the degree of inequality systematically. Moreover, few attempts have been made to analyse the implications of using alternative measures of health care needs in the measurement of health workforce distributional inequalities. Most studies have implicitly relied on population levels as the only criterion for measuring health care needs. This paper attempts to achieve two objectives. First, it describes and measures health worker distributional inequalities in Tanzania on a per capita basis; second, it suggests and applies additional health care needs indicators in the measurement of distributional inequalities. We plotted Lorenz and concentration curves to illustrate graphically the distribution of the total health workforce and the cadre-specific (skill mix) distributions. Alternative indicators of health care needs were illustrated by concentration curves. Inequalities were measured by calculating Gini and concentration indices.\ud There are significant inequalities in the distribution of health workers per capita. Overall, the population quintile with the fewest health workers per capita accounts for only 8% of all health workers, while the quintile with the most health workers accounts for 46%. Inequality is perceptible across both urban and rural districts. Skill mix inequalities are also large. Districts with a small share of the health workforce (relative to their population levels have an even smaller share of highly trained medical personnel. A small share of highly trained personnel is compensated by a larger share of clinical officers (a middle-level cadre) but not by a larger share of untrained health workers. Clinical officers are relatively equally distributed. Distributional inequalities tend to be more pronounced when under-five deaths are used as an indicator of health care needs. Conversely, if health care needs are measured by HIV prevalence, the distributional inequalities appear to decline. The measure of inequality in the distribution of the health workforce may depend strongly on the underlying measure of health care needs. In cases of a non-uniform distribution of health care needs across geographical areas, other measures of health care needs than population levels may have to be developed in order to ensure a more meaningful measurement of distributional inequalities of the health workforce

Will a breast screening programme change the workload and referral practice of general practitioners?

This article has been made available through the Brunel Open Access Publishing Fund and is available from the specified link - Copyright © 1990 BMJ Publishing Group.STUDY OBJECTIVE--The aim of the study was to consider possible changes in the clinical activities of general practitioners whose patients are registered in a breast cancer screening programme. DESIGN--The study was a survey based on completion of forms recording breast consultations carried out by participating general practitioners during a four week period. SETTING--One of three intervention centres and one of three comparison centres in the national trial of early detection of breast cancer was selected. The intervention centre was in Guildford; the comparison centre in Stoke on Trent. PARTICIPANTS--The participants were general practitioners in the selected centres. In Guildford, 64 of 99 general practitioners approached took part (65%); in Stoke on Trent, 81 of 177 took part (46%). The proportion of male and female participants in the two centres was similar. Doctors in Stoke on Trent were older and worked in smaller practices than in Guildford. RESULTS--A comparison of workloads showed that in the screening centre there was less demand for doctor consultations from those in the screened age group, but those excluded from screening made more use of the general practitioners' services. A difference in referral practice was also apparent, with doctors in the screening centre referring more frequently for specialist advice. CONCLUSIONS--The evidence suggests that no significant change in the overall use of general practice resources can be expected with the introduction of national screening, but there may be greater pressure on assessment services

Waiting time distribution in public health care: empirics and theory

Excessive waiting times for elective surgery have been a long-standing concern in many national healthcare systems in the OECD. How do the hospital admission patterns that generate waiting lists affect different patients? What are the hospitals characteristics that determine waiting times? By developing a model of healthcare provision and analysing empirically the entire waiting time distribution we attempt to shed some light on those issues. We first build a theoretical model that describes the optimal waiting time distribution for capacity constraint hospitals. Secondly, employing duration analysis, we obtain empirical representations of that distribution across hospitals in the UK from 1997–2005. We observe important differences on the ‘scale’ and on the ‘shape’ of admission rates. Scale refers to how quickly patients are treated and shape represents trade-offs across duration-treatment profiles. By fitting the theoretical to the empirical distributions we estimate the main structural parameters of the model and are able to closely identify the main drivers of these empirical differences. We find that the level of resources allocated to elective surgery (budget and physical capacity), which determines how constrained the hospital is, explains differences in scale. Changes in benefits and costs structures of healthcare provision, which relate, respectively, to the desire to prioritise patients by duration and the reduction in costs due to delayed treatment, determine the shape, affecting short and long duration patients differently

Determinants of generals practitioners' wages in England

We analyse the determinants of annual net income and wages (net income/hours) of general practitioners (GPs) using data for 2,271 GPs in England recorded during Autumn 2008. The average GP had an annual net income of £97,500 and worked 43 hours per week. The mean wage was £51 per hour. Net income and wages depended on gender, experience, list size, partnership size, whether or not the GP worked in a dispensing practice, whether they were salaried or self-employed, whether they worked in a practice with a nationally or locally negotiated contract, and the characteristics of the local population (proportion from ethnic minorities, rurality, and income deprivation). The findings have implications for discrimination by GP gender and ethnicity, GP preferences for partnership size, incentives for competition for patients, compensating differentials for local population characteristics. They also shed light on the attractiveness to GPs in England of locally-negotiated (Personal Medical Services) versus nationally-negotiated (General Medical Services) contracts

Standardisation of rates using logistic regression: a comparison with the direct method

<p>Abstract</p> <p>Background</p> <p>Standardisation of rates in health services research is generally undertaken using the direct and indirect arithmetic methods. These methods can produce unreliable estimates when the calculations are based on small numbers. Regression based methods are available but are rarely applied in practice. This study demonstrates the advantages of using logistic regression to obtain smoothed standardised estimates of the prevalence of rare disease in the presence of covariates.</p> <p>Methods</p> <p>Step by step worked examples of the logistic and direct methods are presented utilising data from BETS, an observational study designed to estimate the prevalence of subclinical thyroid disease in the elderly. Rates calculated by the direct method were standardised by sex and age categories, whereas rates by the logistic method were standardised by sex and age as a continuous variable.</p> <p>Results</p> <p>The two methods produce estimates of similar magnitude when standardising by age and sex. The standard errors produced by the logistic method were lower than the conventional direct method.</p> <p>Conclusion</p> <p>Regression based standardisation is a practical alternative to the direct method. It produces more reliable estimates than the direct or indirect method when the calculations are based on small numbers. It has greater flexibility in factor selection and allows standardisation by both continuous and categorical variables. It therefore allows standardisation to be performed in situations where the direct method would give unreliable results.</p