Proportionally fewer inpatients die in hospitals that do more operations than in hospitals that do fewer.1 Similar associations between outcome and the size of hospitals have been found in other studies. An association between size and outcome may also be important in primary care settings, where most patients with chronic illnesses are managed. If large practices or those that treat more people provide better care, this could have important implications for the organisation of primary care services. We looked for an association in patients with ischaemic heart disease because the management of this disease is an international priority.2
Participants, methods, and results
From September 2000 to May 2001, we identified patients diagnosed as having ischaemic heart disease using paper and computerised medical records in four primary care groups in southwest London (69 general practices; population 382 188). Seven general practices did not take part.3
We recorded patients as hypertensive if their blood pressure was more than 140/85 mm Hg. We classed cholesterol concentrations greater than 5 mmol/l as high and defined patients with a body mass index (weight (kg)/height (m2)) of 30 or greater as obese. We extracted information on treatment with cardiovascular drugs from computerised records. Fifteen practices were unable to supply some data and were excluded from some of the analyses.
We calculated the proportion of patients in each practice whose risk factors were assessed or controlled; who were taking aspirin, statins, β blockers, or angiotensin converting enzyme inhibitors; or who had had revascularisation treatment. To examine the association of practice size and volume of cases with quality of care, we used a logistic population averaged generalised estimating equation model, adjusted for age and sex, that allowed for clustering within practices.
Practice size varied from 1265 to 13 147 patients (mean 5762). In total, 6888 people had ischaemic heart disease; the number of cases in individual practices varied from 12 to 326 (mean 111) and prevalence varied from 0.45% to 4.37% (mean 1.96%).
Only records of cholesterol concentrations showed an improvement with increasing number of cases of ischaemic heart disease. An increase of 10 in the number of cases was associated with a 6% increase in the odds of recording (table). On average, a practice with 200 patients with ischaemic heart disease would have recorded cholesterol concentrations for 69% of patients registered with the practice compared with 56% in a practice with 100 cases.
Comment
Most aspects of the management of ischaemic heart disease in primary care were not associated with the number of cases managed. We also found no association between practice size and the quality of care. This suggests that the trend in the NHS towards larger general practices by itself has little impact on the quality of chronic disease management in primary care.
Although recent developments in the NHS have cast doubt on the future of smaller practices, both patients and the doctors seem happy with smaller practices. Smaller practices are seen as more accessible and achieve higher levels of patient satisfaction.4,5 The NHS should reconsider how it can improve the quality of care provided by general practices, without relying on the presumed benefits of consolidating them into larger units. Other initiatives—for example, the use of disease facilitators, local incentive schemes, expansion in specialist services, and the development of general practitioners with special interests—need to be evaluated to see if they can achieve this objective.
Table.
Variable
|
No of cases
|
Practice size
|
|||
---|---|---|---|---|---|
Odds ratio (95% CI)*
|
P value
|
Odds ratio (95% CI)*
|
P value
|
||
Blood pressure recorded | 1.01 (0.97 to 1.06) | 0.58 | 1.04 (0.95 to 1.14) | 0.36 | |
Blood pressure optimal | 1.01 (1.00 to 1.02) | 0.18 | 0.99 (0.96 to 1.02) | 0.63 | |
Cholesterol recorded | 1.06 (1.03 to 1.10) | 0.001 | 1.05 (0.98 to 1.13) | 0.18 | |
Cholesterol optimal | 1.01 (1.00 to 1.03) | 0.06 | 1.02 (0.99 to 1.05) | 0.21 | |
Body mass index recorded† | 1.07 (0.96 to 1.19) | 0.22 | 1.04 (0.95 to 1.14) | 0.36 | |
Body mass index optimal† | 0.99 (0.98 to 1.01) | 0.45 | 0.99 (0.97 to 1.02) | 0.51 | |
Prescribed statin | 1.00 (0.99 to 1.01) | 0.85 | 1.03 (1.00 to 1.05) | 0.08 | |
Prescribed aspirin | 0.99 (0.97 to 1.01) | 0.17 | 1.01 (0.97 to 1.05) | 0.53 | |
Prescribed β blocker† | 0.96 (0.90 to 1.03) | 0.23 | 1.06 (0.96 to 1.16) | 0.28 | |
Prescribed angiotensin converting enzyme inhibitor† | 0.93 (0.87 to 0.99) | 0.02 | 1.05 (0.96 to 1.16) | 0.27 | |
Revascularisation† | 0.98 (0.96 to 1.01) | 0.14 | 1.02 (0.97 to 1.06) | 0.49 |
Odds ratios are adjusted for age and sex, and are per 10 patients for number of cases and per 1000 patients for practice size.
15 practices could not supply data and were excluded.
Acknowledgments
We thank Rumana Omar for advice on the analysis of clustered data.
Footnotes
Funding: The data collection for this study was funded by Battersea; Balham, Tooting, and Wandsworth; East Merton and Furzedown; and Putney and Roehampton primary care groups. An additional grant was received from Merton Sutton and Wandsworth Health Authority. The Battersea Research Group is a primary care research network funded by the Department of Health. AM holds a primary care scientist award, funded by the NHS Research & Development Directorate.
Competing interests: None declared.
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