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      Monitoring access to nationally commissioned services in England

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          Abstract

          Background

          For over 20 years, the National Health Service in England has run a system of national planning for highly specialised healthcare services. The aim is to ensure that very rare diseases are treated, and very complex procedures performed, in only a few centres, each of which maintains a volume high enough to maintain excellent outcomes. The commissioning strategy for the provision of these national services in England is strongly centralising. Centralising does however create a duty to ensure that patients distant from the treatment centres are not thereby disadvantaged. The commissioning process ensures sufficient capacity to treat the entire national caseload of clinically eligible patients. The aim of this paper is to apply the Systematic Component of Variation (SCV) to study access to services commissioned by the National Specialised Commissioning Team (NSCT) in England. The discussion focuses on the potential explanations for a high level of systematic variation between areas and on the use of the SCV to support the monitoring and development of these nationally commissioned services.

          Method

          Data from nationally commissioned services for the year ending 2011 were received from treating hospital. Mid year age and sex appropriate population estimates were then obtained to provide denominator data. Data were analysed at the geographic level of strategic health authority.

          Results

          30 services met all requirements for analysis. There is no apparent relationship between SCV and number of locations from which the service is provided. On inspection high SCV is more common among recently commissioned services.

          Discussion

          The importance of the SCV lies in its ability to support the development of highly specialised services. Once the random variation has been accounted for, the reasons for a systematic component can be explored. While no absolute cut- off exists, the SCV can be used to gauge and explore services that are potentially not covering the national caseload. The reason for a high SCV may not be immediately apparent; thus the SCV can aid those responsible for commissioning the service to seek potential explanations and identify improvements.

          Conclusion

          We have reviewed spatial variation in access to a set of highly specialised services in England. On inspecting our results, we believe that they suggest that equity of access can usually be achieved at about five years after establishing a service, and this is not dependent, within the geography of England, on the number of centres designated.

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          Most cited references5

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          Small-area variations in the use of common surgical procedures: an international comparison of New England, England, and Norway.

          We examined the incidence of seven common surgical procedures in seven hospital service areas in southern Norway, in 21 districts in the West Midlands of the United Kingdom, and in the 18 most heavily populated hospital service areas in Vermont, Maine, and Rhode Island. Although surgical rates were higher in the New England states than in the United Kingdom or Norway, there was no greater degree of variability in the rates of surgery among the service areas within the three New England states. Hernia repair was more variable in England (P less than 0.05) and hysterectomy in Norway (P less than 0.05) than in the other countries. There was consistency among countries in the rank order of variability for most procedures: tonsillectomy, hemorrhoidectomy, hysterectomy, and prostatectomy varied more from area to area than did appendectomy, hernia repair, or cholecystectomy. The degree of variation generally appeared to be more characteristic of the procedure than of the country in which it was performed. Thus, differences among countries in the methods of organizing and financing care appear to have little relation to the intrinsic variability in the incidence of common surgical procedures among hospital service areas in these countries. Despite the differences in average rates of use, the degrees of controversy and uncertainty concerning the indications for these procedures seem to be similar among clinicians in all three countries.
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            Is there much variation in variation? Revisiting statistics of small area variation in health services research

            Background The importance of Small Area Variation Analysis for policy-making contrasts with the scarcity of work on the validity of the statistics used in these studies. Our study aims at 1) determining whether variation in utilization rates between health areas is higher than would be expected by chance, 2) estimating the statistical power of the variation statistics; and 3) evaluating the ability of different statistics to compare the variability among different procedures regardless of their rates. Methods Parametric bootstrap techniques were used to derive the empirical distribution for each statistic under the hypothesis of homogeneity across areas. Non-parametric procedures were used to analyze the empirical distribution for the observed statistics and compare the results in six situations (low/medium/high utilization rates and low/high variability). A small scale simulation study was conducted to assess the capacity of each statistic to discriminate between different scenarios with different degrees of variation. Results Bootstrap techniques proved to be good at quantifying the difference between the null hypothesis and the variation observed in each situation, and to construct reliable tests and confidence intervals for each of the variation statistics analyzed. Although the good performance of Systematic Component of Variation (SCV), Empirical Bayes (EB) statistic shows better behaviour under the null hypothesis, it is able to detect variability if present, it is not influenced by the procedure rate and it is best able to discriminate between different degrees of heterogeneity. Conclusion The EB statistics seems to be a good alternative to more conventional statistics used in small-area variation analysis in health service research because of its robustness.
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              Geographical variation in hospital admission rates: an analysis of workload in the Oxford region, England.

              To measure variation in hospital admission rates between health districts in part of the English NHS, comparing a wide range of medical and surgical conditions. Retrospective analysis of interdistrict variation using linked routine hospital admission data. Comparisons were also made with levels of variation reported from the USA. Oxford Regional Health Authority, 1979-86. Six district health authorities--total study population 2.1 million people, 1.6 million hospital admissions. Age and sex standardised hospital admission rates for resident populations for individual operations and diagnoses; systematic components of variation (SCV). Of 118 standard operation groups, 38 (26% of surgical workload) showed high variation (SCV 16 or more) and 40 (36% of surgical workload) showed low variation (SCV < 4). Operations (SCV) with very low levels of variation included prostatectomy (0.1), inguinal herniorraphy (0.9), and cholecystectomy (1.3). Rates were more variable for myringotomy (3.7), hysterectomy (4.3), dilatation and curettage (5.6), and tonsillectomy (6.2). The SCV was high for only four of the 40 commonest medical causes of admission, and was low for 18 of them. Most admissions in the Oxford region were for conditions that did not show a great deal of variation in admission rates. The level of variation for many surgical procedures was less than that reported in studies from the USA. Variation was no greater for medical causes of admission than for surgical conditions. Large scale variation may not be an inevitable consequence of autonomous clinical practice.
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                Author and article information

                Journal
                Orphanet J Rare Dis
                Orphanet J Rare Dis
                Orphanet Journal of Rare Diseases
                BioMed Central
                1750-1172
                2012
                30 October 2012
                : 7
                : 85
                Affiliations
                [1 ]National Specialised Commissioning Team, 2nd Floor Southside 105 Victoria Street, London, SW1E 6QT, UK
                Article
                1750-1172-7-85
                10.1186/1750-1172-7-85
                3495016
                23110738
                ab02758a-021e-436b-93f4-c052d7a1d72f
                Copyright ©2012 Coles et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 July 2012
                : 22 October 2012
                Categories
                Research

                Infectious disease & Microbiology
                national case load,systematic component of variation,specialised services,access,monitoring,commissioning

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