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David J Spiegelhalter MRC Biostatistics Unit,
Institute of Public Health, Cambridge CB2 2SR david.spiegelhalter{at}mrc-bsu.cam.ac.uk
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Abstract |
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Objectives:
To determine whether mortality between
1991 and 1995 in hospitals in England carrying out surgery for
congenital heart disease in children was associated with the annual
volume of cases and to estimate the extent to which an association
could explain the apparent divergent mortality at Bristol Royal Infirmary.
Design:
Retrospective analysis of data from two
sources, a register of returns by surgeons to their professional
society and an administrative database.
Setting:
12 hospitals in England carrying out surgery for congenital heart disease over the period April 1991 to March 1995.
Main outcome measure:
30 day mortality.
Results:
For open heart operations in children under 1 year old, and in particular for arterial switches and repair of
atrioventricular septal defect, there is strong and consistent evidence
of an inverse association between mortality and volume of cases (not
taking into account any data from Bristol). A hospital carrying out 120 open operations per year in 1991-5 on children aged under 1 year would
be expected to have a mortality 25% lower than that in a hospital
carrying out 40 operations. If the children in the hospitals had the
same mix of operations, this reduction is 34%. Stratifying for types
of operation or including the results from Bristol strengthens this
association. It was also estimated that less than a fifth of the excess
mortality at Bristol Royal Infirmary in open operations in children
less than 1 year old was due to the hospital's lower volume of surgery.
Conclusions:
Using appropriate methods, this
study showed that mortality in paediatric cardiac surgery was inversely
related to the volume of surgery. Considerable caution is needed in
interpreting these results, and it does not necessarily follow that
concentrating resources in fewer centres would reduce mortality.
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What is already known on this topic
Studies showing a relation between volume of cases and mortality have a range of methodological inadequacies, in particular the choice of a threshold defining high and low volume after the analysis to increase the significance of the results What this study adds
This association explains only a small proportion (less than a fifth) of the excess mortality seen at the Bristol Royal Infirmary over this period |
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Introduction |
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As part of its remit to investigate the adequacy of Bristol Royal
Infirmary's surgical services for children with heart disease, the
Bristol Royal Infirmary Inquiry commissioned a range of statistical work to investigate outcomes of paediatric cardiac surgery and compare
Bristol with other centres.1 This statistical analysis identified a high mortality at Bristol that is highly unlikely to be
due to chance, particularly for open heart operations conducted between
1991 and March 1995.2 That Bristol was one of the smaller centres performing paediatric cardiac surgery leads to two further questions: whether the outcome of such surgery is associated with the
volume of cases; and, if so, to what extent the high mortality in
Bristol can be explained by the hospital's lower volume of cases.
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Materials and methods |
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Sources of data
The cardiac surgical register comprises voluntary returns
made by surgeons to their professional society and uses diagnostic
categories. The hospital episode statistics for 1991-5 comprise four
years of administrative data entered by clinical coders. Data are
available from 12 centres in England. In each source, operations are
primarily treated as either "open" or "closed" and are further
subdivided into 13 "procedure groups."2 For this
analysis children were grouped by age at time of operation (less than 1 year old and 1 year or older).
The role of Bristol Royal Infirmary
This study was generated by the high mortality in children who
underwent heart operations at Bristol Royal Infirmary, a centre with a
low volume of cases, and hence it is likely that Bristol would be very
influential in any analysis. It is inappropriate to test hypotheses on
the same data as those that generated the hypothesis. Thus the primary
analysis excluded results from Bristol. This also provided an unbiased
assessment of the extent to which any excess mortality in Bristol can
be explained by its lower volume of cases.
Statistical analysis
Studies of volume and outcome present a number of potential
statistical problems. Firstly, results should ideally be adjusted for
type of cases (case mix), to avoid some centres seeming to perform
poorly because they carry out more complex surgery. Each of the 13 procedure groups was individually analysed, although there are
acknowledged difficulties in the coding at this level of detail
a
particular difficulty in the cardiac surgical register is
distinguishing switch operations for transposition of the great
arteries from Mustard or Senning repairs. The primary analysis was
therefore based on pooled open operations and was stratified for
procedure group. This stratification estimated a common association
within procedure groups and should be more robust with respect to
errors in allocation to procedure groups.
Secondly, low and high volume should be defined before the analysis.
Recently, authors in the United States were accused of deliberately
selecting volume thresholds after the analysis of survival rates in
liver transplantation to justify their institution remaining the sole
provider of the operation in the state.
3 4
Selecting
thresholds to maximise significance renders the claimed level of
significance uninterpretable, and information is lost by grouping
institutions into categories.5 No threshold was chosen in
the present analysis, and volume was defined as the number of patients
treated in each age group. Logistic regression was used to estimate the
odds ratio of a specific change in volume; this odds ratio was assumed
to be constant across the volume range unless there was strong evidence
of a threshold. A degree of stratification for risk was achieved by
including procedure group as a factor in the logistic regression. The
odds ratio can be transformed to the relative change (r) in
odds of death (expressed as a percentage) per additional patient per
year
for example, an odds ratio of 0.98 per additional patient per
year corresponds to a value of r of
100×(1
0.98)=
2%. This would mean that for each additional operation of the type carried out, the estimated risk for each patient
(expressed as odds of death) is reduced by 2%.
Thirdly, general conclusions should not be made from the very good or bad performance of just one or two centres. 6 7 Plots show whether individual centres are having undue influence. Finally, it should be recognised that the unit of analysis is the hospital, rather than the individual patient, and so estimated standard errors should be adjusted appropriately.
The relative change in risk for all open operations was estimated in each age group, with and without the inclusion of the data from Bristol and with and without stratification for case mix, for both data sources for the period 1991-5. This analysis was repeated for all closed operations in each age group, with and without Bristol. When there was an association between risk and volume, the impact on absolute mortality and the extent to which the association explains the apparent excess mortality in Bristol was estimated. Reports detailing the statistical analysis carried out for the Bristol Royal Infirmary Inquiry, including a fuller version of this paper, may be found on the inquiry's website.8
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Results |
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In all open operations in children aged less than 1 year there was a significant association in both data sources between mortality and volume (table 1). Both data sources showed a consistent relation (excluding data from Bristol), despite disagreement in the data.
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Stratifying the data by procedure group increased the estimated association between mortality and volume (table 1). This result might be expected if larger centres carried out a greater proportion of more complex operations. Again, inclusion of the data from Bristol strengthened this finding. The procedure groups that contributed most to the association are corrective operations for transposition of the great arteries ("switch" operations in the health episode statistics) and repair of atrioventricular septal defect (figs 1 and 2). Much of the relation shown in the data from the cardiac surgical register in figure 1 comes from one large centre.
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For closed operations, no consistent pattern occurred in either data source (table 1). Including the data from Bristol had negligible influence on the relation in closed operations.
When both sets of data shown in table 1 were used, r is
around -0.4% without adjustment for operation mix and around -0.6% with adjustment. A hospital carrying out 120 open operations per year
on children less than 1 year old in 1991-5 would be expected to have a
mortality that is 25% lower (11.3% v 15.0%) than that in
a hospital carrying out only 40 such operations. If the hospitals had
exactly the same mix of operations, this relative reduction is 34%
(9.9% v 15.0%) (for details see full version on
BMJ's website). Table 2 shows that only an estimated
12% (hospital episode statistics) or 17% (cardiac surgical register)
of the excess mortality at Bristol can be explained by Bristol's low
volume of cases.
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Discussion |
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Mortality in children aged less than 1 year old who underwent open heart surgery in 1991-5 is significantly related to the volume of cases, even when data from Bristol are excluded. This effect was consistent across both data sources and became more pronounced when the data were stratified according to the mix of operations. This finding is not due to the disproportionate influence of just one or two centres. The data sources were consistent in showing that only a small proportion of the excess mortality at Bristol Royal Infirmary can be attributed to its having a low volume.
Caution is needed in interpreting these findings. The data sources are
not of high quality, they have different coding schemes, and they share
inadequacies in reporting of data. The conclusions in terms of policy
that can be drawn from the study are unclear. For example, for the data
from the hospital episode statistics, it is tempting to recommend a
minimum volume of around 50 operations per year, or one a week:
mortality in children aged <1 year in centres with a lower volume was
14.7% (not including Bristol) or 16.7% (including Bristol), whereas
the mortality in centres with a higher volume was 10%. Dudley et al
take the bold step of using such data to predict the number of
"potentially avoidable deaths"
based on the assumption that
patients treated at "low" volume centres could have been treated at
"high" volume centres, resulting in lower mortality
but this seems
to be a quite unwarranted extrapolation.9
It is possible that concentrating certain types of operation in fewer
centres will lead directly to benefits in outcome
for example, through
increased opportunities for surgical learning. However, Posnett warns
that such "economies of scale" cannot be guaranteed.10
Rather than indicating causality, an association between volume
and better outcome might be due to a common underlying factor, such as
a hospital's longer history, better associated services (such as
intensive care), its ability to attract and retain skilled staff, or
its ability to attract more patients because of its reputation. None of
these factors would necessarily be obtained by, say, merging the
caseloads of two centres. It is also important not to extrapolate
beyond the available data; further increases in the case volume in
larger centres may even lead to poorer outcomes, if communication in
the hospital were to start to decline. Finally, it is possible that the
concordance between centres might have increased since 1995, because
experience with operations such as the arterial switch has been gained.
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Acknowledgments |
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The author is grateful to Ruth Chadwick, Paul Aylin, Gordon Murray, Stephen Evans, and Nicky Best for advice and provision of data. All views expressed in this paper are those of the author alone and do not necessarily represent the views of the Bristol Royal Infirmary Inquiry.
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Footnotes |
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Funding: Bristol Royal Infirmary Inquiry.
Competing interests: None declared.
The full version of this article
appears on bmj.com
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References |
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| 1. | Bristol Royal Infirmary Inquiry. Issues list for Part I of the Inquiry. www.bristol-inquiry.org.uk/final_report/annex_b/images/issues_L-2.pdf (accessed 1 November 2001). |
| 2. |
Aylin P, Alves B, Best N, Cook A, Elliott P, Evans SJ, et al.
Comparison of UK paediatric cardiac surgical performance by analysis of routinely collected data 1984-1996: was Bristol an outlier?
Lancet
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Laks MP, Cohen T, Hack R.
Volume of procedures at transplantation centers and mortality after liver transplantation [letter].
N Engl J Med
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1527 |
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Edwards EB, Roberts JP, McBride MA, Schulak JA, Hunsicker LG.
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Sollano JA, Gelijns AC, Moskowitz AJ, Heitjan DF, Cullinane S, Saha T, et al.
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419-430 |
| 7. |
Jenkins K, Newburger JW, Lock JE, Davis RB, Coffman GA, Iezzoni LI.
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| 8. | Bristol Royal Infirmary Inquiry. The inquiry into the management of care of children receiving complex heart surgery at the Bristol Royal Infirmary. www.bristol-inquiry.org.uk/ (accessed 2 Jul 2001). |
| 9. |
Dudley RA, Johansen KL, Brand R, Rennie DJ, Milstein A.
Selective referral to high-volume hospitals: estimating potentially avoidable deaths.
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| 10. |
Posnett J.
Is bigger better? Concentration in the provision of secondary care.
BMJ
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1063-1065 |
(Accepted 29 August 2001)
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