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Nick Steel School of Health Policy and
Practice, University of East Anglia, Norwich NR4 7TJ
nick.steel{at}enorfolk-ha.anglox.nhs.uk
Hypertension is a common risk factor for cardiovascular
disease, but patients' compliance with medication is low. Patients may
be less likely to take antihypertensive drugs if they have accurate
information about their levels of risk.1 Doctors who estimate the risk more accurately are less likely to recommend treatment.2 It is not known whether a patient's
professional background affects his or her threshold for complying with treatment.
The study compared the threshold at which consultant physicians,
general practitioners, nurses attached to a general practice, and the
general population would start taking antihypertensive drugs.
A postal questionnaire asked whether or not respondents
would take drugs if one life would be saved for every 12, 33, 50, 100, or 250 people treated for five years. This gave six thresholds of
numbers needed to treat (<12 to 250).
A pilot study showed that a sample size of 28 in each group would have
80% power to detect a probability of 0.284 that the number needed to
treat for nurses is lower than for general practitioners, using a
Wilcoxon (Mann-Whitney) rank sum test for ordered categories with two
sided significance of 0.05. To allow for low response rates, all 39 consultant physicians at the city hospitals were recruited. Altogether
39 practice nurses, 39 general practitioners, and 100 adult members of
the public were selected from the lists of the local health authority,
with systematic sampling from a random starting point. A lower response
rate was expected from the public. The local research ethics committee
approved the study.
The response rate was 69% (149/217). The threshold for numbers needed
to treat chosen by consultant physicians (100) was twice that chosen by
general practitioners (50) and three times that chosen by nurses and
the public (33) (table). The range of responses within each group was
wide, but the difference between the median levels of benefit chosen by
the groups was significant (P=0.003, Kruskal-Wallis test). Logistic
regression to control for age and sex, with the outcome chosen to be
whether or not the number needed to treat was 50 or greater, also
showed a significant overall difference between the groups (P=0.005).
The adjusted odds ratio for a nurse rather than a consultant choosing a
number needed to treat below 50 was 12.5 (95% confidence interval 2.9 to 50).
Treating hypertension entails combining evidence with
judgment about risk. This study shows how people's risk judgments
differ. The questionnaire posed a hypothetical question. The
thresholds chosen by the groups might depend on whether the question
was real or hypothetical, or whether the benefits were expressed as reduction of absolute risk (such as numbers needed to treat) or relative risk. Because all groups faced the same question, however, valid comparisons can be made between them. The moderate response rate
from members of the public (58%) is a possible source of bias.
The questionnaire referred to reduction in mortality rather than
morbidity. Death as an outcome is easier to understand and less subject
to interpretation than non-fatal cardiovascular events. For adults aged
60 years or over treatment reduces the absolute risk of both mortality
and morbidity by a similar amount. The number needed to treat to
prevent one death is about 50, the number chosen by general
practitioners.3 For younger adults there is little
evidence for a reduction in mortality, but the number needed to treat
to prevent one stroke over five years is about 170.4
The 1999 guidelines of the British Hypertension Society (written
largely by professors) recommend starting treatment on the basis of
risk rather than blood pressure.5 This will encourage doctors to make explicit judgments of risk. Clinicians should not
assume that their patients and professional colleagues are likely to
share their opinion whether treatment for hypertension is worth while.
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Participants, methods, and results
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Acknowledgments |
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I thank all the people who took part in this study, Brian Tom from the Centre for Applied Medical Statistics at Cambridge University for statistical advice, and Peter Brambleby and Malcolm Adams for their constructive comments.
NS is the sole author and acts as guarantor of the study.
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Footnotes |
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Funding: NS was supported by a health services research fellowship from the NHS Executive Anglia and Oxford Research and Development Directorate.
Competing interests: None declared.
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References |
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| 1. | Reed WW, Herbers JE, Noel GL. Cholesterol-lowering therapy: what patients expect in return. J Gen Intern Med 1993; 8: 591-596[Medline]. |
| 2. |
Friedmann PD, Brett AS, Mayo-Smith MF.
Differences in generalists' and cardiologists' perceptions of cardiovascular risk and the outcomes of preventive therapy in cardiovascular disease.
Ann Intern Med
1996;
124:
414-421 |
| 3. | Mulrow C, Lau J, Cornell J, Brand M. Antihypertensive drug therapy in the elderly. Cochrane Collaboration. Cochrane Library, Issue 1; Oxford: Update Software, 1998. |
| 4. | Gueyffier F, Froment A, Gouton M. New meta-analysis of treatment trials of hypertension: improving the estimate of therapeutic benefit. J Hum Hypertens 1996; 10: 1-8[Medline]. |
| 5. |
Ramsay LE, Williams B, Johnston GD, MacGregor GA, Poston L, Potter JF, et al.
British Hypertension Society guidelines for hypertension management 1999: summary.
BMJ
1999;
319:
630-635 |
(Accepted 13 December 1999)
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