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To randomise or not to randomise: methodological pitfallsof the RCT design in psychosocial intervention studies
A. BOTTOMLEY, Cancer Support Centre, Duckworth Lane, Bradford, West Yorkshire
BOTTOMLEY A. (1997) European Journal of Cancer Care 6, 222±230
To randomise or not to randomise: methodological pitfalls of the RCT design in psychosocial
intervention studies
We are seeing evidence of more studies investigating the effectiveness of psychosocial interventions of
cancer patients, predominantly within groups. As roles within cancer and palliative care diversify,
specially trained nurses and other health care workers are taking a more active role within psychosocial
intervention studies. Frequently, these studies are randomised controlled trials (RCTs). Often, the results
of these psychosocial RCTs have been laid open to general criticisms of design, implementation and
reporting. The following paper focuses specifically on the general and experimenter problems in
conducting RCTs within psychosocial interventions. It highlights the limitations and inherent problems
seen with RCTs of psychosocial interventions so that health care workers are aware of these before
considering undertaking psychosocial RCTs with cancer patients.
Keywords: psychosocial interventions, methodological review, randomised controlled trials, design
limitations.
Methodology
INTRODUCTION
The design of the randomised controlled trial (RCT) has
been used for some 50 years (Medical Research Council,
1948) and is now widely regarded as the `gold standard' in
evaluating different treatments (Charlton, 1991). In the
randomised controlled trial, patients are randomly allo-
cated into groups, to remove any differences between
groups. With a large enough sample possible confounding
factors are expected to be distributed equally between
groups. Bradley (1988) and Pocock (1983) note that the
`gold standard' view is held so strongly by some that often
no thought is given to the consequences of using such
designs and of any possible benefit an alternative design
may hold. This unthinking response to a lack of
randomisation as a weakness or flaw in a study has led
to some treatments being used without evaluation and
many studies remaining unpublished because randomisa-
tion was not sensible or ethical.
Given the increasing cost of health care, researchers are
being asked not only to justify the product but also the
process and the cost to society in general terms. The very
process of the RCT is expensive (Elkin et al., 1989; Aveline
et al., 1995). Often they require extensive funding for posts
(data collectors, trial's coordinators, etc.), ongoing costs
and the most qualified and experienced staff to undertake
the work. Extensive effort is required by the researchers to
ensure appropriate recruitment and randomisation occur.
This very fact therefore focused the RCTs into being often
conducted within the `centres of excellence' and leaving
the less robust quasi-experimental studies (e.g. non-
randomised, case-controlled, retrospective and prospective
cohort studies and descriptive studies) to be undertaken by
hospitals with fewer resources.
However, even when RCTs are conducted at centres
of excellence, problems of patient recruitment, attrition
(through death) opposition to randomisation by patients
and referrals, ethical problems raised of randomi-
Correspondence address: Cancer Support Centre, Duckworth Lane,
Bradford, West Yorkshire, UK. e-mail: [email protected]
European Journal of Cancer Care, 1997, 6, 222±230
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# 1997 Blackwell Science Ltd, European Journal of Cancer Care, 6, 222±230 223
sing seriously sick patients and problems in collecting
data (from sick patients) can either contribute to the fail-
ure of the RCT or at least produce results that are difficult
to interpret (McWhinney et al., 1994; Fallow-field, 1995).
Considering these points, it is important that health
care workers investigating psychosocial interventions are
aware of the general and experimenter limitations of RTCs
before undertaking such research (Pringle & Churchill,
1995). The following text aims to highlight these limita-
tions, relating them to past studies of psychosocial
interventions, so that future researchers may consider
the need for an RCT, where other methods may be more
viable, practical and likely to produce valid results.
SOME COMMON EXPERIMENTER AND
GENERAL PROBLEMS OF RCTS WITH
PSYCHOSOCIAL INTERVENTIONS
Sampling, design and reporting problems
In the RCT with cancer interventions, frequently data are
not reported regarding the baseline characteristics of pa-
tients declining to take any part in the study (e.g. Telch &
Telch, 1986; Cain et al., 1986; Fawzy et al., 1990; Greer et
al., 1992). These patients often represent more than 30%
of the total sample (e.g. Fawzy et al., 1990; Berglund et al.,
1995). In failing to report such details the non-representa-
tiveness of the sample being randomised is not reported.
Failures to recruit consecutive patients in these studies
(through patients declining due to fears of the treatment,
problems of possible allocation to groups, etc) also
introduce potential for selection biases. Unfortunately,
often these are not reported (e.g. Speigel, 1981; Cain et al.,
1986; Houts et al., 1986; Telch & Telch, 1986; Fawzy et
al., 1990). Nevertheless, they can limit the representa-
tiveness of the population and thus the generalisability of
the study results (Silagy, 1994). Reporting these problems
can greatly help fellow researchers, ensuring a reader can
fully assess the validity of the RCT and generalise the
results to other groups.
Drop out rates within psychosocial RCTs pose difficul-
ties. For example, Fawzy et al. (1990) conducted a brief 8-
week psychoeducational intervention with cancer pa-
tients. They found that after randomisation 25% of those
patients randomised into the controlled group dropped
out. This left 28 in the control and 38 in the experimental
group. Although some basic data were collected on the
drop-outs (e.g. age, sex), no information was provided on
why they dropped out or many other details that could be
valuable for readers when attempting to generalise the
results. In addition, when patients drop out for treatment-
related reasons (e.g. did not like the therapist, the
discussions, other members of the groups, etc.) the content
of each group is again no longer determined at random and
this poses a serious threat to RCTs (Schwarts et al., 1986).
Many psychosocial intervention studies fail to report
drop-out rates (e.g. Capone et al., 1980; Cain et al., 1986;
Houts, 1986). A few psychosocial intervention studies do
detail the reasons for the drop-out, which can be revealing.
For example, Speigel et al. (1981) recruited 109 women with
metastatic breast cancer to have supportive discussion
groups focusing on concerns of the cancer, coping and
`living as well as possible'. Eighteen refused after randomi-
sation, five died before contact, further deaths and other
problems reduced the numbers to 34 (treatment) and 24
(control). Available at 1-year follow-up were 16 in the
treatment and 14 in the control group. This makes it
difficult to know exactly what the results of this RCT show.
This is a major and yet a common problem with cancer
interventions and little can be done to overcome drop-out
rates. However, providing compressive details of drop-outs
(e.g. reasons, assessments, periods, etc.) can at least
provide some indication of the validity and generalisa-
bility of the results within the RCT design.
Representativeness problems
For some time it has been known that the results obtained
under the strict conditions of the RCT may not be
generally applicable to those in the normal clinical setting
(Schwartz & Lellouch, 1967). Equally, those cancer
patients who participate in the RCT may be very different
from the general cancer population. Often, when a RCT is
conducted it is at a `centre of excellence' that has all the
facilities and highly qualified staff necessary to maximise
the patients chance of a favourable outcome (e.g. Greer et
al., 1992). In addition, the patient may have an alternative
motive for participating in the RCT, for example, the
increased attention and care observed in these settings
(Stiller, 1989). Given that the cancer patient often suffers
from substantial and sustained distress, participation in a
well-designed and resourced psychosocial RCT will be a
source of help and patients tend to comply with treatment.
Equally, patients who refuse may be those who feel that
participation could be too time-consuming or too much
trouble. Therefore, the artificial environment centred
around the RCTs does not mirror everyday reality,
meaning those patients reported in the RCT might be
very different from those in non-randomised smaller-
centred studies of everyday life.
Furthermore, in conducting psychosocial RCTs, gener-
ally researchers (e.g. Speigel et al., 1981; Fawzy et al.,
1990) have used very stringent eligibility criteria (e.g. age
limits, disease type, site, stage and co-morbidity factors),
making for unrepresentative populations (Druckrey, 1996).
For example, Fawzy et al. (1990) selected patients for
randomisation into a control or psychoeducational group if:
recently diagnosed; with stage one or two malignant
melanomas; medical intervention requiring only excision
of the primary tumour; had undergone no previous
psychiatric treatment; over 18 years old; speak and read
English; excluded if: having immunotherapy, chemother-
apy, radiotherapy or receiving medication (such as steroids
or large doses of aspirin). All these criteria may be valuable
in setting up a clinically meaningful randomised experi-
ment, but clearly they limit the generalisability of the
results into the `real world' setting of cancer patients.
Research workers need to address this issue. One way
may be to call for empirical tests of the generalisability of
findings established in RCT to be undertaken in everyday,
typical settings.
Evidence of equality
To justify undertaking a RCT there has to be evidence that
the interventions (e.g. control, social support, cognitive
behavioural therapy, counselling, psychoeducation, etc.)
do not differ in their effectiveness. However, this principle
relies upon an awareness of the research evidence by those
proposing the study. It is clear that there is poor
dissemination of research evidence in the medical and
nursing profession. This can and does result in poor care
(Antman et al., 1992; Hutton, 1996). This can also mean
that inappropriately designed RCTs are accepted by peer
review and approved by ethical committees after evi-
dence on treatments is already statistically convincing
(Hutton, 1995). When research workers consider under-
taking a psychosocial RCT, it is critical that they have a
clear understanding of the literature on effectiveness and
use only interventions with evidence of `equivalence' or
`no difference'.
However, even if one finds evidence of equivalence
McNeil et al. (1978) argue that the gross idea of `no
difference' between treatments is incorrect and that this is
ignoring the patient's perception of the treatment. Bryne
(1990) also notes this point and states that patients' views
of its effectiveness must carry weight with any clinician
evaluating an intervention. Although little is known about
how much the patients' views affect outcomes, Silverman
(1994) suggests that research to indicate preferences on
outcomes in RCTs designs is required. For example, this
could be done by developing assessment tools to measure
satisfaction of allocation to a group. This information
should reveal any bias in the design and thus help
understand the reliability of the results.
Randomisation problems in psychosocial interventions
Initially, cancer patients may accept random allocation
in psychosocial intervention studies (and yet may prefer
one form of intervention). They may, for example, agree
to participate because this is the only way that they
have any chance of receiving that intervention. When
they find they are randomised into a group they do not
want they can become disgruntled (Brewing & Bradley,
1989) and have low levels of motivation to make the
treatment successful. Patients may either drop out or
participate but be unhappy about their allocation to the
group. From this point on it is likely that differences
between the groups will emerge in factors such as
enthusiasm for the study, willingness to attend the
groups regularly, level of participation during the
sessions, and expectations of the outcome of the group,
which are all factors that can influence the outcome of
cancer patients studies (e.g. Cain, 1986; Fawzy et al.,
1990; Hosaka, 1996).
This is an important limitation of RCTs in psychosocial
interventions with cancer patients, which usually mea-
sure psychological well-being, as opposed to physical
outcomes upon which the design of RCT was initially
intended. For example, take a patient who may be
unhappy about allocation to a social supportive group
intervention; he may decide not to attend the group on a
regular basis. This effect is not simply upon that patient,
but can affect the whole group dynamic by, for example,
failing to allow cohesiveness to develop, which can be a
critical factor in the success of a cancer group (Cella &
Yellen,1994; Speigel, 1995). Equally, a randomised patient
who is unhappy about entering a cognitive therapy group,
where participation and motivation are critical, is unlikely
to undertake the substantial task-focused requirements of
the intervention (Brewin & Bradley, 1989).
Furthermore, there are reports of patients' preferences to
cancer groups and dissatisfaction when allocated to a
particular group. For example, Taylor et al.'s (1986) postal
surveys of patients found that males preferred psychoso-
cial intervention groups that discussed information and
education and were far less interested in sharing personal
concerns. Up to 30% of the 667 cancer patient sample
stated they had distressing experiences in groups. Gray et
al. (1996) reported similar findings, with male cancer
patients preferring information-based intervention groups,
whereas females preferred intervention with intimacy and
emotional support.
224 # 1997 Blackwell Science Ltd, European Journal of Cancer Care, 6, 222±230
BOTTOMLEY Randomised controlled trials
Such preference effects can reduce any potential effect
the interventions may have had if the patients had
selected the group themselves, as patients would do in
the `real world' setting. In particular, it is important to
recognise that often cancer patients report `loss of control'
(Broadhead & Kaplin, 1991; Cella & Yellen, 1994)
associated with their plight and so one could expect
allocation into an unwanted group would add to this
factor. Carlson and Schag (1996) suggested that the success
of a group psychosocial intervention is related to allowing
the cancer patient group the opportunity to comment on
the structure of each intervention so that the programme
may be tailored to the specific needs of that group.
The randomisation of psychosocial interventions should
be conducted by an independent party. Ideally this will be
someone independent of the researchers and clinicians
involved in the study. This ensures the researchers who
measure outcomes remain unaware of the treatments
received by the patient; this is particularly important
where outcomes are assessed by interviews. Although at
least one study has reported adopting this approach
(Forester et al., 1993), many psychosocial RCTs fail to
report whether randomisation was conducted in this
manner (e.g. Telch & Telch, 1986; Fawzy et al., 1990;
Hosaka, 1995; Berglund et al., 1995; Goodwin et al., 1996).
Indeed, if this approach was adopted, it could well create
problems for researchers. For example, the use of a third
party to randomise will increase costs and the complexity
of the study. Patients may also be more likely to remain in
the study if, during the initial assessment, the researcher
makes the randomised choice and advises them which
group they have been allocated. If randomisation is done
by an independent party the process is more complicated
and subject to delays which may influence patient
participation in the study.
Equalisation in psychosocial RCTs
To fulfil the requirements of equalisation (equal distribu-
tion of all confounding variables) in psychosocial RCTs
large numbers of patients are required. The smaller the
sample the more likely it will be that confounding
variables will be unequally distributed between the groups
(Hutton, 1996). This is a fundamental issue for all research
but particularly important in these circumstances. These
can bias the results and there is a limited possibility of
addressing these biases (Shapiro, 1989). This is a problem
with many psychosocial interventions, which tend to have
small samples (e.g. Capone et al., 1980; Houts et al., 1986;
Ali & Khalil, 1989; Burish et al., 1991; Pruitt et al., 1993).
Again, this is particularly so in group formats where
patient accrual can be difficult and sample sizes are
frequently small (see Fawzy et al., 1995). Many published
studies report group sizes of around 20±30 per arm (e.g.
Spiegel et al., 1981; Johnson, 1982; Heinrich & Schag,
1985; Cain et al., 1986; Telch & Telch, 1986; Fawzy et al.,
1990). However, several smaller randomised studies have
been reported which draw conclusions which may not be
robust. For example, Hosaka (1996) reported a RCT study
with 20 women with breast cancer, randomised into two
groups of 10, one group undergoing individual and the other
a group psychoeducational intervention. After five 1-hour
sessions (for both groups) it was concluded that both
interventions were equally effective in significantly redu-
cing psychological distress. Unfortunately no details of how
equalisation of all possible known and unknown variables
could have been achieved with such a small sample are
noted. Key confounding variables that can be measured (e.g.
social class, educational levels) were not reported.
Statistical issues in psychosocial interventions using
RCTs
Although studies report statistical significance, none have
detailed the power of these effects. Most psychosocial
interventions use psychometric measures to assess end-
points at various stages in the interventions. However,
with such small samples, effects are likely to be very small
(Brecker, 1995) and much larger populations are required
to provide larger power and effects. Shapiro et al. (1995)
stress that the detection of differences between psycho-
social interventions of the magnitude that is likely to be
found requires at least 60 patients per group. Shapiro et al.
(1995) emphasise that if resources do not permit samples
of this order then outcome RCT of psychosocial interven-
tions should not be undertaken. To achieve such criteria
large multicentred RCTs would be valuable and indeed are
feasible (Goodwin et al., 1996). However, given that in
more than 20 years of research with cancer groups we have
had only one ongoing multicentred study reported (Good-
win et al., 1996), this would suggest the difficulty of such
an approach (Fawzy et al., 1990). Hospitals can lack
motivation to participate in studies that will have
substantial workloads with limited immediate patient
benefit and yet considerable disruption to the delivery of
health care. Maintaining the motivation of hospitals and
clinicians can also be difficult over the long periods that
studies would need to be conducted with cancer patients.
Recently Berglund et al. (1994) reported one study that
overcomes some of these problems and recognised the
need for larger samples. They reported a successful
psychoeducational study in which recently diagnosed
European Journal of Cancer Care
# 1997 Blackwell Science Ltd, European Journal of Cancer Care, 6, 222±230 225
cancer patients improved significantly more in the inter-
vention (n = 98) than the no-treatment control group
(n = 101). A few other studies have also achieved larger
sample sizes (e.g. Greer et al., 1992) and it is important
that researchers aim to have similar sample sizes if we are
able to detect differences between different interventions
of RCTs.
In addition, given that long-term effects of RCTs in
psychosocial interventions are important, yet often ne-
glected (Tilsbury et al., 1992), end-point selection should
include long-term follow-up (e.g. 1-year post-intervention).
This is important in psychosocial interventions, as
evidence exists suggesting that some interventions may
not demonstrate results immediately and have a `sleeper'
effect (Bell et al., 1989).
Ethical problems in psychosocial RCTs
Ethical problems are common in RCTs with cancer
patients undergoing psychosocial interventions. These
can be grouped as follows.
Good for the individual versus good for the future
population?
For those patients randomised into an intervention they
are likely to want this will hopefully be of benefit to them.
It may offer extra hope and optimism, increase personal
attention, social networks and social support at a time
when these are often at a low level (Bottomley & Jones,
1997). Patients have been reported as undergoing RCTs to
`help other people' or `improve treatment for the future'
and to `increase my chances of getting good care'
(Alderson, 1996). Indeed, patients can be assured that the
results of robust representative psychosocial RCTs may
help determine future psychosocial interventions for other
cancer patients.
However, questions are raised of the ethics such trials
place upon some of the individual patients. De Rave (1994)
argues that the experimental randomised trial is a value
laden process. That is, certain research questions are
clearly preferred to others, reflecting cultural preoccupa-
tions and prejudices. De Rave (1994) contends that to
randomise the cancer patient is to treat the individual as a
statistic, deliberately impersonal and ruthless. However, it
has been argued that informed consent, where the
individual takes full responsibility for the randomised
trial, addresses this moralist stance (Byrne, 1991).
This may, to an extent, be true, yet many individuals
refuse randomisation in psychosocial interventions, often
as high as 30% of total patients (Greer et al., 1992; Burton
et al., 1995; Berglund et al., 1994). Those patients refusing,
on the ground that they feel unhappy about the randomi-
sation process, are therefore excluded from the provision
of psychosocial support offered. The same can be said of
those patients who agree to participate in the RCT, yet
drop out after being randomised into say either a waiting
list control group or a group they had no interest in.
Furthermore, it is feasible that patients may also find
themselves participating in a group they were unhappy
about being randomised into. They may stay with the
group, yet being at a vulnerable stage of life, may feel
unable to leave and obliged to remain until the interven-
tion has ceased.
Uncertainties of outcomes
Uncertainties of life are a consequence of the cancer
diagnosis. It may be argued that we add to this problem by
using a randomising approach when evaluating psychoso-
cial interventions. Here patients are given more uncer-
tainties about the outcome of events in their lives. For
example, much is written that patients can readily access
which suggests certain types of psychosocial interventions
may increase life (e.g. Speigal et al., 1989) or help patients
cope better (e.g. Speigel et al., 1989; Fawzy et al., 1995). To
face additional worries of being randomised into particular
psychosocial group interventions which patients may
already perceive prior to randomisation to have (a) a lot
of value (e.g. increase duration of life, reduce psychological
distress, Speigal et al., 1989) or (b) no value (e.g. waiting
list), or (c) the potential to cause them harm and distress
(Taylor et al., 1986) must be questioned.
Corbett et al. (1996) provide some evidence that
randomisation and therefore the uncertainty of outcomes
is distressing. In Corbett et al.'s (1996) study of 100
participants (in a study on information preferences or
RCTs) significantly more participants preferred informa-
tion that was less explicit about the role of chance. Over
half thought that they would find randomisation upsetting
and a quarter thought the outcome of a randomised
controlled trial might adversely affect the outcomes.
Bradburn et al. (1995) found that in focus groups of cancer
patients the uncertainties of best treatments could have a
demoralising effect on patients. Alderson (1996) suggests
that the uncertainty of all treatments cancer patients have
to face in the RCT design is a significant emotional burden
that many patients may not wish to experience. Patients'
personal accounts of randomisation in cancer studies
provide evidence of the isolated feeling that the uncer-
tainty of the process leaves them with when they most
need support (Thornton, 1992). Cancer patients often
BOTTOMLEY Randomised controlled trials
226 # 1997 Blackwell Science Ltd, European Journal of Cancer Care, 6, 222±230
report the need for health professionals to make the
decisions on interventions in preference to leaving matters
to chance (Inglefinger, 1980).
The uncertainty of outcomes with RCTs with cancer
patients could have a significant impact on the outcome
itself and researchers need to be aware of this problem.
Alternative models of randomisation
To attempt to overcome some of the ethical difficulties of
RCTs alternative models have been proposed to that of the
traditional RCT. The Zelen model is one approach in
which randomisation to the standard or new intervention
is undertaken without consent. Thereafter only those who
have been allotted to the new intervention are taken
through the process of informed consent detailing the
alternatives and the fact that this is a trial. However, this
model is a compromise on the RCT and leaves half the
patients participating without consent. No psychosocial
interventions have been reported using this approach.
Ellenberg (1984) proposed the pre-randomised plus
double consent trial, with each patient group being given
the chance to withdraw from the intervention allotted to
them. However, consent is still only partial and only those
patients who want to undertake that particular interven-
tion will receive it. Refusal rates will be high and
compensation with increased accrual is needed. Again no
psychosocial intervention groups have been reported to
adopt this compromise on the traditional RCT.
Brewing and Bradley (1989) have proposed an approach
which is to assign patients to their preferred treatment
where they express a view and to randomly allocate only
those who have no preference. The non-randomised
patients may be regarded as individuals in a prospective
cohort study, the randomised patients being viewed as a
separate study. This approach clearly overcomes many
ethical and design problems, but may well lead to
considerably larger pools of patients being required for
the randomised part of the study. This increases costs and
will use significantly more resources (e.g. more interven-
tions, staff costs, etc.) than the traditional model. How-
ever, despite the ethical and other advantages of this
approach no randomised psychosocial interventions are
reported using this method.
Clearly the traditional RCT remains the predominate
method in both past and current use with cancer
intervention groups.
Using waiting lists or no treatment groups in RCTs
In the past many RCTs with psychosocial interventions
have randomised an intervention against a non-interven-
tion control or a waiting list group (i.e. Capone et al., 1980;
Speigel et al., 1981; Telch & Telch, 1986; Fawzy et al.,
1990; Greer et al., 1992; Berglund et al., 1994). Here one
has to consider very carefully the ethical position,
particularly if the patient sample is in a palliative state
(e.g. a patient with cancer, which no longer responds to
curative treatment and who is deemed to die within 6
months). There is now a consensus of belief that the
evidence suggests that psychotherapeutic interventions
are better than no treatment for helping patients with
emotional disorders (Shapiro et al., 1995). Three published
meta-analyses of psychosocial interventions with adult
cancer patients have also produced similar findings
(Devine & Westlake, 1995; Mayers & Mark, 1995; Sheard
& Maguire, 1996), and, although limited evidence exists of
different interventions being more effective than each
other (Devine & Westlake, 1995; Fallowfield, 1995;
Trowell et al., 1995), it now may be questionable to
randomise patients into a non-intervention group. Even
randomisation into a waiting list control group is ethically
questionable where a 1- or 2-month period of waiting for
patients who may be dying is unacceptable.
This still occurs in cancer interventions, where patients
have their levels of psychological distress and coping
identified before randomisation and then are random-
ised into the waiting list or the no treatment control
group (Fawzy et al., 1990; Berglund et al., 1994; Goodwin
et al., 1996).
Therefore, with this latest knowledge future research
workers who consider undertaking RCTs of psychosocial
intervention groups may need to employ comparison
designs (e.g. two different types of active interventions).
Such designs may show smaller effect sizes between
interventions, and require larger samples, but they will
overcome the ethical dilemma of randomising into
questionable control groups, often not welcomed by
patients (Parloffe et al., 1986).
PROBLEMS FOR HEALTH CARE
PROFESSIONALS
In designing and reporting psychosocial RCTs researchers
need to be aware that clinicians may be unwilling to
participate if they believe that the experimental study will
disrupt patient care and the clinicians' and patients'
interaction (Taylor et al., 1984; Taylor, 1992; Tobias &
Souhami, 1993). For example, explaining the process of
randomisation can be difficult, distressing and time
consuming for both the health professional and the
patient. Tobias and Souhami (1993) state that to inform
European Journal of Cancer Care
# 1997 Blackwell Science Ltd, European Journal of Cancer Care, 6, 222±230 227
a patient about participation in a RCT is doing them
individual harm. They state many patients are anxious
and are waiting for reassurance and direction at a time of
need when providing full informed consent simply
distresses the patient and is `unnecessarily cruel'.
This point could be illustrated by comparing Speigal et
al.'s study (1989) with Goodwin's (1996) ongoing study.
Speigal et al. (1989) found significant improvements in
both psychological well-being and survival with women
(who had metastatic breast cancer) after undergoing a
supportive group intervention compared to a group of
women receiving no intervention. Other studies have
found results either confirming these findings (e.g. Fawzy
et al., 1990) or contradicting them (e.g. Ilnyeki et al.,
1994). Goodwin et al. (1996) are undertaking a multi-
centred ongoing RCT to evaluate group support compared
to no treatment (for women with metastatic breast cancer)
as used in the Speigal et al. (1989) study.
The dilemma for health professionals is that they could
face the difficulty of describing the details of the
potentially valuable (but yet unproven) intervention (e.g.
possibly increase life span, reduce emotional distress,
improve coping, increase social support networks, etc.),
gaining the patients' agreement and approval and then
later having to inform them that they have been
randomised into the no treatment group.
No matter how carefully the advantages and disadvan-
tages of any such study are explained to patients, the
results of the randomisation must lead to some `back
peddling' for the health professionals. Here the advantages
of the intervention are `talked down' and perhaps the
negative effects (e.g. time consuming, etc.) are `talked up'.
The patient may become distressed, which can only be
counter-productive to the health carer±patient relation-
ship and the patient may refuse to participate in the study.
Tobiase and Souhami (1993) argue that the support and
reassurrance given by the health care professional and the
patient's trust and confidence in the advice given may be
irretrievably lost due to such events.
Evidence to support the problems health carers may face
is seen in, for example, the difficulty many patients find in
understanding randomising (Hutton, 1996). Simes et al.
(1986) found that more than half of the cancer patients
failed to understand the concept of randomisation. The
greater the details provided to patients the more anxiety
and less willingness to participate occurred. Patients'
confidence in the clinician can be weakened when they
are told that there is no way of knowing whether any
intervention is better unless randomisation is conducted
(Alderson, 1996; Corbett et al., 1996). Invariably patients
ask `well what would you recommend doctor?'.
Therefore, unlike other, non-randomised studies (where
clinicians have fewer demands and disruptions), this can
lead to a bias in that clinicians undertaking RCTs are
those with the most interest and motivation for the
success of the study (Tobias & Souhami, 1993).
SUMMARY
This article has focused on the problems and pitfalls of
applying a RCT with psychosocial interventions. One
cannot discount that the RCT provides a rigorous basis for
evaluating psychosocial intervention groups, yet it may do
so at a cost of methodological problems that can limit the
generalisability to the cancer population at large.
These limitations need to be given careful consideration
by workers before embarking on resource-intensive RCTs.
The illustrated studies show that many common general
and experimenter problems can occur with psychosocial
interventions using the RCT design. These include
problems of representativeness to cancer patients in
general, ethical difficulties in randomisation of patients
and the very practical problems that face researchers when
attempting to fulfil the stringent criteria for a robust RCT.
The economics of today's health care systems are under
scrutiny and when it is unlikely that an RCT can be
conducted without its problems being properly addressed
and taken into account in the results, it must be
questionable whether this approach is to be pursued.
There are many alternatives to the RCT that are valid
with psychosocial intervention groups, including quasi-
experimental and naturalist approaches. Therefore, we
encourage researchers to examine all design options before
embarking on RCTs.
Acknowledgements
To Dr Jeanette James and Helen Fox for their comments
and the support of the Cancer Support Centre during the
preparation of this manuscript.
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