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Andrea Steiner a Departments of Geriatric Medicine and Social Work
Studies, University of Southampton, Murray Building, Southampton
SO17 1BJ, b School of Nursing and Midwifery, University of Southampton, c Medical Statistics
Group, Health Care Research Unit, Southampton General Hospital,
Southampton SO16 6YD, d School of Health Professions and Rehabilitation Sciences,
University of Southampton, e Elderly Care
Research Unit, University Department of Geriatric Medicine, Southampton
General Hospital
Correspondence to: A Steiner, Department of Community Studies,
University of California Santa Cruz, 1156 High Street, Santa Cruz, CA,
USA 95064 steiner{at}cats.ucsc.edu
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Abstract |
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Objectives:
To compare post-acute intermediate care in an inpatient nurse-led unit with conventional post-acute care on
general medical wards of an acute hospital and to examine the model of
care in a nurse-led unit.
Meeting the post-acute needs of frail or dependent elderly
people has long challenged the NHS. Older patients take longer, on
average, than younger patients to regain stability after acute illness
and cannot always be transferred quickly from hospital.1 Adults with disability or conditions such as alcoholism may also require extended convalescence and careful discharge
planning.2 The therapeutic needs of "difficult to
discharge" patients combine with increased numbers needing
hospitalisation in winter to create persistent demand for acute general
medical beds in hospitals.3 Recognising this, the
Department of Health has made intermediate care a priority in its new
investment plan.4
Intermediate care encompasses a range of services intended to
reduce avoidable hospital admission or readmission and to improve transition from hospital to home.5 One model is the
post-acute nurse-led unit for patients deemed medically stable but not
ready for discharge.6 In Britain nurse-led units were
introduced as nursing development units.
7 8
They received
additional funding and employed senior nursing staff at practitioner
level. However, results from experiments with these units have been
inconsistent,9-12 and the validity of some of the studies
has been questioned.
6 13
The formation of post-acute nursing development units was strongly
associated with the concept of therapeutic nursing. The hypothesis
underlying this approach is that, by transferring appropriate patients
to a low technology setting where nurses rather than doctors manage
recuperation and can encourage self care, patients' clinical outcomes
will improve and hospital length of stay will be
reduced.
7 8 14 15
Although the concept is
controversial, it has attracted much interest. The nursing development
model has been adopted by numerous NHS trusts, but to date its
effectiveness in routine practice has not been reported.16
In this article, we summarise findings from an evaluation of a
nurse-led unit providing post-acute intermediate care. After a pilot
study demonstrated feasibility and gave promising results, we conducted
a randomised controlled trial to compare the nurse-led unit with usual
care in terms of length of stay, patient function, and discharge to a
more dependent living arrangement.17 This trial was
supported by follow up at six months in order to examine patients' use
of services and outcomes beyond first discharge from the acute trust.
We also conducted an economic evaluation and a qualitative study to
examine perceptions of care and the unit's acceptability to patients,
their families, and health professionals and performed sub-analyses of
the content and quality of nursing care. In this paper we report the
main results of the inpatient trial and follow up.
The evaluation took place between July 1997 and September 2000, and the study methods were approved by the local research ethics committee.
Patients
Design:
Randomised controlled trial with six month follow up.
Setting:
Urban teaching hospital and surrounding area, including nine community hospitals.
Participants:
238 patients accepted for admission to
nurse-led unit.
Interventions:
Care in nurse-led unit or usual
post-acute care.
Main outcome measures:
Patients' length of stay,
functional status, subsequent move to more dependent living arrangement.
Results:
Inpatient length of stay was significantly longer in the nurse-led unit than in general medical wards (14.3 days
longer (95% confidence interval 7.8 to 20.7)), but this difference became non-significant when transfers to community hospitals were included in the measure of initial length of stay (4.5 days longer (
3.6 to 12.5)). No differences were observed in mortality,
functional status, or living arrangements at any time. Patients in the
nurse-led unit received significantly fewer minor medical
investigations and, after controlling for length of stay, significantly
fewer major reviews, tests, or drug changes.
Conclusions:
The nurse-led unit seemed to be a safe
alternative to conventional management, but a full accounting of such
units' place in the local continuum of care and the costs associated with acute hospitals managing post-acute patients is needed if nurse-led units are to become an effective part of the government's recent commitment to intermediate care.
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Introduction
Top
Abstract
Introduction
Patients and methods
Results
Discussion
References
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Patients and methods
Top
Abstract
Introduction
Patients and methods
Results
Discussion
References
From November 1997 all patients referred to the nurse-led unit of
Southampton University Hospitals Trust for post-acute care were
considered for entry to the trial. We continued to recruit patients
until we reached our target sample size (April 1999). Patients were
referred from other general medicine wards of the hospital and assessed
for admission to the unit. The admission criteria were that patients
must be at least 16 years old, medically stable (that is, not requiring
tests or investigations) for at least 24 hours, must consent to
transfer to the unit, and must have the doctor's referral and
patient's resuscitation status recorded in their medical notes.
Eligible patients were randomised to care on the nurse-led unit or to
usual post-acute care in the hospital with the stipulation that they
should not be transferred to the nurse-led unit.
The nurse-led unit
The unit opened in January 1997 as an alternative to usual
post-acute care on general medical wards. It had 10 beds and 22 nursing
staff (ratio of 3:2 for qualified to unqualified nurses, no special
training required). It is part of a teaching hospital trust in
Southampton (population about 300 000) and is located near the main
hospital site in a smaller setting emphasising outpatient care. The
main site has stroke rehabilitation and elderly care units. The area is
also served by a community healthcare trust with nine small hospitals
and by two local authorities providing social services.
Randomisation
A randomised consent design was used for the trial.18
We adopted this approach after the pilot analysis identified ethical
and scientific difficulties with conventional methods of randomisation
and consent, which were tried initially.17 The randomised
consent design has been recommended in cases where new treatment is
compared with the best available standard treatment, as in the control
condition for this study, and where standard consent procedures for
randomised controlled trials can lead to unnecessary distress and
confusion.19 The nurse-led unit's patient population
fitted this criterion, as patients were mostly elderly and still
unwell. Moreover, a high proportion of recipients of the nurse-led
service were cognitively impaired (17/48 (35%) of those in the
pilot17). Their relatives or doctors were willing to
decide on transfer, but many were reluctant to make proxy decisions about inclusion in a randomised controlled trial. To exclude such patients when they were major recipients of the service would have been
unethical20 and could have seriously compromised validity by producing a non-representative study sample.
Outcomes
Inpatient trial
Primary outcomes of the inpatient trial were length of stay,
discharge to a higher level of support, and change in physical
functioning (measured by the Barthel Index) between baseline and first
discharge from the hospital trust. We collected data on length of stay
and discharge destination, including inpatient mortality, from the
trust's patient administration system and abstracted information on
patients' functional status at randomisation and discharge from their
medical notes. The patient administration system and medical notes also
provided a record of patients' demographic characteristics, main
diagnoses on admission (from ICD codes), and the number of major and
minor medical reviews, tests and investigations, therapy sessions,
changes to medication, and new complications during the post-acute period.
Follow up
We reassessed patients' physical functioning and move to a more
dependent living arrangement at six months during a brief structured
telephone interview with patients or carers. We also reassessed length
of inpatient stay in three ways: from randomisation to first discharge
"home" (that is, including immediate transfers to community
hospital), from first discharge home to six months after randomisation
(that is, readmission days), and from randomisation to six months later
(that is, total length of stay). We obtained data on length of stay
from the patient administration system and cross checked these against
patients' case notes. We measured patients' perceived quality of life
at six months using the reintegration to normal living
scale.21 We recorded any deaths after hospital discharge
from the patient administration system and confirmed these at follow
up. We obtained information on use of primary care services directly
from the patients' general practices and district nurses. During the
telephone interviews, we asked patients whether they received home
care, "meals on wheels," or other social services.
Sample size
We determined sample size for the primary outcomes of the
inpatient trial and calculated that 200 patients in total would be
required to have 80% power in a 5% test if the true difference in
length of stay were 8 days (with standard deviation 20 days), that 210 patients would be needed to detect a 10 point difference in Barthel
Index (SD 20 points) with 95% power, and that 220 patients be needed
to detect a reduction from 55% to 35% in the rate of patients
discharged to a higher level of support with 85%. We therefore chose a
sample size of 240 in total to allow for refusal, dropout, and
uncertainty about the true size of differences on which power
calculations were based.
Statistical analysis
We compared binary outcome variables of the treatment and control
arms of the trial in a logistic regression model, controlling for the
stratifying variable, the hospital ward from which patients were
referred. Results are presented as controlled odds ratios with 95%
confidence intervals. We estimated differences in mean lengths of stay
and Barthel scores, with their associated 95% confidence intervals,
using regression models controlled for referring ward. In our analysis
of Barthel scores we also controlled for functional status at entry to
the trial. Median values are also presented for these quantitative
variables. Where data were not normally distributed we performed
uncontrolled Mann-Whitney U tests (results not shown because
conclusions were unchanged).
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Results |
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Patients' characteristics
A total of 240 patients were randomised, and the final inpatient
sample was 238 because medical records were missing for two patients
(see figure). Of the 119 patients randomised to the nurse-led unit, six
refused the offer of transfer and another six were not transferred
because of unexpected deterioration or unexpectedly quick discharge
from hospital. At follow up, we obtained data on use of secondary and
primary care services for 238 and 179 patients respectively and
interviewed 154 patients or carers. More of the patients allocated
conventional care declined to participate in the follow up (23/121
(19%) v 4/117 (3.5%)), but we found no important
differences between those who consented and those who refused.
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Length of stay
Table 2 gives details of patients' length of
inpatient stay, including readmission days. Patients in the nurse-led
unit stayed in the hospital trust more than 14 days longer, on average,
than those managed conventionally. Six of the 107 patients in the
nurse-led unit (6%) were transferred to community hospitals for
post-acute convalescence compared with 30/113 (27%) patients in the
control group (difference
21.0% (95% confidence interval
32.8%
to
10.3%), P=0.000). Taking these transfers into account (that is,
length of stay until first discharge home), we found the difference
between groups in initial length of post-acute hospitalisation dropped
to 4.5 days and was no longer significant. Over the entire study
period, differences in total patient length of stay continued to
diminish.
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Patient outcomes
As tables 3 and 4 show, patients
were neither better nor worse off if cared for in the nurse-led unit.
Patients in the nurse-led unit were somewhat more likely than those in the control group to have been discharged to a higher level of support,
especially when the discharge destinations for patients initially
transferred to community hospital were included in the calculation, but
these differences were not significant (table 3). After controlling for
Barthel score at baseline, we found no difference between the groups'
functional status at discharge or after six months (table 4). Mortality
at six months' follow up was substantial in both groups and virtually
identical, as was the patients' perceived quality of life. Patients in
the nurse-led unit had noticeably, though not quite significantly,
lower readmission rates than control patients (12% v 20%
at 1 month, 32% v 41% at 6 months).
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Processes of care
Table 5 compares processes of care in the two
groups. As expected, patients in the nurse-led unit had significantly fewer minor medical reviews, both overall and per patient per day. They
also had significantly fewer major medical reviews, tests and
investigations, changes to medication, and number of new complications
in hospital per patient per day. The patients in the nurse-led unit
received significantly more physiotherapy and occupational therapy
sessions than the control patients, but when we adjusted the analyses
for the longer lengths of stay in the nurse-led unit the differences
were no longer significant. Nurses transferred 22/103 patients (21%
(95% confidence interval 14% to 31%)) from the nurse-led unit back
to acute medical wards during their initial post-acute stay. After
hospital discharge, we found no differences in the number or type of
contacts between patients and general practitioners, practice nurses,
or district nurses. We also found no difference between groups in their
propensity to receive social services (70/86 (81%) of patients in the
nurse-led unit who were interviewed v 56/68 (82%) of
control patients).
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Discussion |
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The trial reported here was part of a multi-method study investigating the effectiveness and acceptability of an inpatient nurse-led unit providing post-acute intermediate care. With the exception of large and significant differences in initial inpatient length of stay, with the patients in the nurse-led unit remaining longer, we found no differences in primary outcomes. Moreover, when we included transfers to community hospital in the measurement of initial length of stay, the difference between groups was no longer significant. This is an important finding, not reported elsewhere in the literature. In effect, the beds being unblocked by the nurse-led unit are those in community hospitals.
Study limitations
At the level of nurse-led units, our study's sample size is one.
However, in its staffing and funding, the unit we examined was more
typical of normal NHS provision than nursing development units
evaluated in the past. We would argue that all innovations in
intermediate care must be locally sensitive and contingent on existing
services as well as pressing needs. What is generalisable is the
patient population, the pressures on general medical beds, and the low
technology setting on a separate ward.
Implications of study
Our finding regarding length of stay has implications for the
development of intermediate care. It suggests that if acute hospital
trusts became responsible for post-acute transitional care, community
hospital trusts would find resources released to develop strategies to
avoid patient admissions. This may constitute an overall benefit for
the NHS, but a whole-systems assessment of responsibilities along the
full continuum of care is needed. For example, acute trusts may
identify organisational benefits to maintaining an in-house transfer
destination for those patients whose pre-admission status predicts
complex discharge arrangements or slower than average recovery time.
This could be especially true if, as in many inner cities, they lack
the option of community beds. Clearly, however, there are also costs;
hospital days are more expensive in acute than community trusts.
Conclusions
At a time when the government has committed an additional £900m a
year over a five year period to intermediate care, our central finding
is that nurse-led post-acute care in hospital is no worse, but also no
better, than usual care and follow up. To make the most of the new
resources, the place of acute hospitals in the provision of
intermediate care will need to be examined closely.
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What is already known on this topic
Nursing development units were the first nurse-led intermediate care units, designed to support patients who are medically stable but not ready for discharge Although evaluations of such units have attracted considerable interest, the evidence for their effectiveness is not clear and their generalisability to routine practice is open to question What this study addsNurse-led units are safe and do not shift service demands from hospital
to community To make the most of additional resources allocated to intermediate care, a whole-systems assessment of local responsibilities along the full continuum of care will be needed |
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Acknowledgments |
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We thank the managers, clinicians, and patients involved with the nurse-led unit at Southampton University Hospitals Trust. Members of the Southampton NLU Evaluation Team were AS, BW, RMP, RW, JW, JIB, Peter Lees, Julie Pearce, Karen Postle, Lisa Sheron, and Jerry Warr.
Contributors: AS initiated and coordinated the evaluation, coauthored the grant proposal, led the follow up study and economic evaluation, contributed to data collection, analysis, and interpretation, and led the writing of the paper. BW contributed to the grant proposal, conceived and piloted the inpatient trial, collected and analysed the data, participated in the process studies of nursing activity and quality of care, coauthored the paper, and participated in editing. RMP contributed as statistician to designing the inpatient trial and all quantitative portions of the evaluation, participated in piloting, coauthored the initial proposal, analysed the quantitative data, coauthored the paper, and participated in editing. RW contributed to the design and interpretation of the evaluation, coauthored the proposal, led the qualitative study of the unit's meaning and acceptability, analysed the qualitative data, and edited the paper at all stages. JW participated in the collection and analysis of data for the randomised trial, follow up, and economic evaluation and contributed to the paper's revisions. JIB contributed to the design and piloting of the inpatient trial, led the design of the process studies, coauthored the proposal, and participated in the drafting and editing of the paper. Peter Lees contributed to the funding proposal and execution of the study, especially the inpatient trial and study of nursing activity. Julie Pearce helped to implement the inpatient trial and follow up, and contributed to the interpretation of findings. Karen Postle led the qualitative data collection and was instrumental in the analysis and interpretation of data from that study. Lisa Sheron led preparation and data collection for the process study of nursing activity and contributed to data analysis. Jerry Warr led preparation, data collection, and analysis for the process study of nursing quality of care. Jane Bray prepared data collection forms and administrative systems for the evaluation and contributed to early stages of data collection. Diane Coulson provided administrative support during the evaluation. David Draper provided statistical advice and valuable support in the editing of the paper. AS is guarantor for the paper.
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Footnotes |
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Funding: The study was supported by a University of Southampton research studentship for BW, based in the School of Nursing and Midwifery, and by a grant from the NHSE R&D Directorate South and West (D/10/11.97/Steiner).
Competing interests: None declared
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References |
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| 1. | Audit Commission. The coming of age: improving care services for older people. London: Audit Commission, 1997. |
| 2. | Lipley N. Nurse-led elderly care wards to free acute beds. Nurs Stand 2000; 14: 5. |
| 3. | Audit Commission. The way to go home: rehabilitation and remedial services for older people. London: Audit Commission, 2000. |
| 4. | Department of Health. The NHS plan: a plan for investment, a plan for reform. London: Stationery Office, 2000. |
| 5. | Steiner A. Intermediate care: a good thing? Age Ageing (in press). |
| 6. | Steiner A. Intermediate care: conceptual framework and review of the literature. London: King's Fund, 1997. |
| 7. | Pearson A, ed. Primary nursing in the Burford and Oxford nursing development units. London: Chapman and Hall, 1988. |
| 8. | Evans A, Griffiths P. The development of a nursing-led in-patient service. London: King's Fund, 1994. |
| 9. | Hall LE, Alfano GJ, Rifkin E, Levine HS. Longitudinal effects of an experimental nursing process (final report). New York: Loeb Center for Nursing and Rehabilitation, 1975. |
| 10. | Pearson A, Punton S, Durant I. Nursing beds: an evaluation of the effects of therapeutic nursing. Harrow: Scutari Press, 1992. |
| 11. | Griffiths P, Evans A. Evaluation of a nursing-led in-patient service. London: King's Fund, 1995. |
| 12. | Griffiths P, Wilson-Barnett J, Richardson G, Spilsbury K, Miller F, Harris R. The effectiveness of intermediate care in a nursing-led in-patient unit. Int J Nurs Stud 2000; 37: 153-161[CrossRef][Medline]. |
| 13. | Griffiths P, Wilson-Barnett J. The effectiveness of `nursing beds': a review of the literature. J Adv Nurs 2000; 27: 1184-1192[CrossRef]. |
| 14. | Alfano GJ, Hall LE. The Loeb center for nursing and rehabilitation: a professional approach to nursing practice. Nurs Clin North Am 1969; 4: 487-493[Medline]. |
| 15. | Pearson A. The clinical nursing unit. London: William Heinemann Medical Books, 1983. |
| 16. | Vaughan B, Lathlean J. Intermediate care: models in practice. London: King's Fund, 1999. |
| 17. | Walsh B, Pickering RM, Brooking JI. A randomized controlled trial of nurse-led inpatient care for post-acute medical patients: a pilot study. J Clin Effectiveness Nurs 1999; 3: 88-90. |
| 18. | Pocock SJ. Clinical trials: a practical approach. Chichester: John Wiley and Sons, 1983. |
| 19. | Zelen M. A new design for randomized clinical trials. N Engl J Med 1979; 300: 1242-1245[Abstract]. |
| 20. | Resau LS. Obtaining informed consent in Alzheimer's research. J Neurosci Nurs 1995; 27: 57-60[Medline]. |
| 21. | Wood-Dauphinee SL, Williams JI. Reintegration to normal living as a proxy to quality of life. J Chronic Disability 1987; 40: 491-499. |
| 22. | Altman DG, Whitehead J, Parmar MKB, Stenning SP, Fayers PM, Machin D. Randomised consent designs in cancer clinical trials. Eur J Cancer 1995; 31A: 1934-1944[CrossRef]. |
(Accepted 8 February 2001)
David J Torgerson Department of Health Studies,
University of York, York YO10 5DQ
djt6{at}york.ac.uk
The study by Steiner and colleagues was undertaken
using the randomised consent or Zelen's method of trial
design.1 This method involves asking trial
participants' consent to receive the treatment they have been
randomised to, not to randomisation itself. The ethical issues of
consent have been extensively debated in the BMJ, and I do
not propose to revisit these here.
2 3
Zelen's method is
a scientifically useful way of evaluating some interventions, such as
population screening programmes, and is extensively used in cluster
trials.
4 5
However, this study is a rare example of an
individually randomised non-screening trial using the method. There are
two versions of the design: single and double consent. In this study
the authors seem to have used the single consent method, whereby only
those patients allocated to the nurse-led unit were asked for consent
to be transferred to the unit.
Zelen's method starts to become scientifically inferior to
the standard design when more patients refuse the novel treatment than
would be the case in a normal trial. In this instance 12 patients
(10%) randomised to the nurse-led unit received standard care, six of
whom refused transfer to the unit. This "crossover" of
patients into the "wrong" treatment will dilute the treatment effect, which reduces the power of the study to detect a
difference.5 This problem with Zelen's design has been
recognised, and a review of cancer trials using Zelen's method showed
that the patients' refusal rate for the new treatment varied between
10% and 36%, with an average of 18%.6
This potential problem may not have been fully considered by the
authors in their sample size calculations. The authors should have
factored in a refusal rate of at least 10% in their sample size
calculations (the lowest rate shown in the review of cancer trials). If
they had done this then the actual hypothesised difference between the
groups would have been seven days rather than eight (because 10% of
patients would have the mean length of stay attributable to the control
treatment), which would have required an increase in sample size of
about 30%. While the trial showed a non-significant increase in length
of stay of about five days in the nurse-led unit, this difference is
likely to be an underestimate because of the dilution effect. This
increases the risk of a type II error, which in this case would mean
erroneously concluding that there is no increase in the overall length
of stay in the nurse-led unit when there actually is.
Because of the dilution problem and possible ethical concerns there
needs to be a strong justification for choosing Zelen's method in
preference to the normal method of consent before randomisation.
David Torgerson raises the reasonable concern that the
single randomised consent design is prone to a dilution effect because of subjects refusing treatment, which should be factored into initial
power calculations. He suggests that, had we done so, we would have
needed to increase our sample size by 30%.
Two issues are salient Moreover, the adjustment recommended by Torgerson is based on an
assumed refusal rate of 10%. The relevance of cancer patients' refusal rates to that anticipated for post-acute general medical patients is not immediately obvious, although the numbers are interesting. In our study the actual refusal rate was 5% (6/119), a
figure described by Parmar as "a good approximation in most [conventional trial] situations."1 Parmar further
notes that if refusal rates are low, approaching those occurring after
randomisation in conventional trials, there may be no practical
difference between randomised consent and a standard design with regard
to dilution.
In all intention to treat analyses, any non-significant finding can
constitute a type II error. However, in this study we see no additional
risk accruing as a result of the randomised consent design.
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References
1.
Zelen M.
Randomized consent designs for clinical trials: an update.
Stat Med
1990;
9:
645-656[Medline].
2.
Smith R.
Informed consent: edging forwards (and backwards).
BMJ
1998;
316:
949-951 3.
Tobias JS, Doyal L.
Informed consent in medical research.
London: BMJ Books, 2000.
4.
Hardcastle JD, Chamberlain JO, Robinson MHE, Moss SM, Amar SS, Balfour TW, et al.
Randomised controlled trial of faecal-occult-blood screening for coloretcal cancer.
Lancet
1996;
348:
1472-1477[CrossRef][Medline].
5.
Torgerson DJ.
Contamination in trials: is cluster randomisation the answer?
BMJ
2001;
322:
355-357 6.
Altman DG, Whitehead J, Parmar MKB, Stenning SP, Fayers PM, Machin D.
Randomised consent designs in cancer clinical trials.
Eur J Cancer
1995;
31A:
1934-1944.
Authors' reply
sample size and refusal rate. Our choice of 240 as a target sample size was 20% more than required to show significant
differences in length of stay
not quite the 30% Torgerson recommends
but not far from it. As described in our paper, we made this allowance
for several reasons. We acknowledge the potential dilution effect
associated with Zelen's design, but believe that our 20% margin of
safety was sufficient to yield meaningful estimates of differences in
length of stay.
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Footnotes
BMJ publications on the issue of
informed consent are accessible at
bmj.com/cgi/collection/informed_consent
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References
1.
Parmar MKB.
Randomization before consent: practical and ethical considerations.
In:
Williams CJ, ed.
Introducing new treatments for cancer: practical, ethical and legal problems.
Chichester: John Wiley and Sons, 1992:194.
© BMJ 2001
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