Health Services Research Department, Institute of Psychiatry, Kings College London, UK
Department of Psychiatry II, University of Ulm, BKH Günzburg, Germany
Department of Medicine and Public Health, Policlinico G.B. Rossi, Verona, Italy
Section of Cognitive Neuropsychiatry
Health Services Research Department, Institute of Psychiatry, Kings College London, UK
Academic Medical Center, Department of Psychiatry, University of Amsterdam, The Netherlands
Department of Psychiatry II, University of Ulm, BKH Günzburg, Germany
Academic Medical Center, Department of Psychiatry, University of Amsterdam, The Netherlands
Health Services Research Department, Institute of Psychiatry, Kings College London, UK
Department of Medicine and Public Health, Section of Psychiatry and Clinical Psychology, University of Verona, Italy.
Correspondence: Dr Richard Gray, Health Services Department, Institute of Psychiatry, Kings College London, De Crespigny Park, London SE5 8AF, UK.Tel.: +444 (0)20 7848 0139; fax: +44 (0)20 7848 0458; email: R.Gray{at}iop.kcl.ac.uk
Declaration of interest None. Funding detailed in Acknowledgements.
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Aims To evaluate the effectiveness of adherence therapy in improving quality of life for people with schizophrenia.
Method A 52-week, single-blind, multicentre randomised controlled trial of the effectiveness of adherence therapy. Participants were individually randomised to receive eight sessions of adherence therapy or health education. Assessments were undertaken at baseline and at 52-week follow-up.
Results Adherence therapy was no more effective than health education in improving quality of life.
Conclusions This effectiveness trial provides evidence for the lack of effect of adherence therapy in people with schizophrenia with recent clinical instability, treated in ordinary clinical settings.
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Zygmunt et al (2002) reviewed randomised controlled trials of adherence interventions in schizophrenia. They showed that only one-third of these studies reported significant treatment effects, but that interventions based upon the principles of motivational interviewing were promising. A subsequent meta-analysis concluded that psychiatric services could use effective clinical interventions for reducing patient non-adherence, but that the benefit of these interventions would be more evident in the short term than in the long term (Nose et al, 2003b). A recent randomised controlled trial of in-patients compared adherence therapy with non-specific counselling over 1 year, and found no clear advantage (ODonnell et al, 2003).
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The study design was a two-arm randomised controlled trial, with masking of assessors to the status of the participants. The interventions were delivered in routine general adult psychiatric settings, to maximise the generalisability of the results of this effectiveness trial (Tunis et al, 2003).
Study participants
Participants were recruited from June 2002 to October 2003 from people
under the care of psychiatric services. A researcher approached senior
treating clinicians at a range of locally typical general adult psychiatric
in-patient and community settings, serving catchment areas in each of the four
study sites: Amsterdam (The Netherlands), Leipzig (Germany), London (England)
and Verona (Italy).
There were three inclusion criteria. First, a clinical diagnosis of schizophrenia should be confirmed by a research diagnosis of schizophrenia, established using the Item Group Checklist (IGC) of the Schedule for Clinical Assessment in Neuropsychiatry (SCAN; Wing et al, 1990) when applied to case notes, using International Classification of Disease criteria (ICD–10; World Health Organization, 1992). Second, patients should need continuing antipsychotic medication for at least the year following baseline assessment, in the judgement of the responsible treating senior psychiatrist. Third, there should be evidence of clinical instability in the year before baseline, defined by one or more of the following: at least one hospital admission on mental health grounds, a change in type or dose of antipsychotic medication, planned or actual increased frequency of contact with mental health services, and indications of clinical instability reported by relatives, carers or the clinical team.
Exclusion criteria were: presence of moderate or severe mental handicap (learning disability); organic brain disorders; current treatment by forensic psychiatric services; alcohol or drug dependence; inability to speak the language of host country to a sufficient standard to receive the intervention; or assessment by the treating clinician as lacking capacity to give valid consent to participate.
Study procedures
Individuals participated only if they gave written, informed consent. All
study sites gained full approval for the study from the appropriate local
research ethics committee (institutional review board). Once participants had
given consent, they underwent baseline interviews and then received a unique
identification number. This was sent to an independent clinical trials unit,
where allocation was carried out by permuted blocks of random size, stratified
by centre. The allocation was notified to the therapist, who arranged directly
with the participant for the allocated treatment to be given. The researcher
who conducted the baseline interview and the follow-up assessment remained
masked to allocation throughout the study, to minimise bias. Participants were
not masked to whether they were receiving adherence therapy or health
education, and consequently this cannot be considered a double-blind trial.
However, participants were informed that they would receive one of two
interventions but were not told which was regarded by the investigators as the
experimental intervention, and remained masked to the exact aims of the
study.
Study interventions
The experimental intervention, adherence therapy, is a brief individual
cognitive–behavioural approach (Kemp et al,
1996,
1998;
Gray et al, 2004). The
adherence therapy manual
(http://www.adherencetherapy.com)
describes a collaborative, patient-centred phased approach to promoting
treatment adherence in people with schizophrenia. There are six elements that
form the core of the therapy: assessment; medication problem-solving; a
medication timeline; exploring ambivalence; discussing beliefs and concerns
about medication; and using medication in the future. Key therapy skills that
therapists use include exchanging information, developing discrepancy between
the patients thoughts and behaviours about medication, and working with
resistance to discussing psychiatric medication and treatment. The aim of the
therapy process is to achieve a joint decision about medication between the
individual and therapist. A central tenet of the therapy is that where
patients and therapists make choices about treatment together, adherence to
that regimen will be enhanced.
Previous trials of adherence interventions have used a non-specific counselling intervention or standard care as the control intervention (Zygmunt et al, 2002). We offered participants a control intervention that would be acceptable and was not expected to enhance medication adherence, but which did control for the time spent with the therapist (Roth & Fonagy, 1996). We chose didactic health education rather than standard care alone as the control condition, to control for therapist time and other non-specific aspects of the intervention. The eight individual sessions of the health education package included presentations on health education-related topics such as diet and healthy lifestyle. Therapists presented information in a didactic way, and were trained not to use any adherence therapy skills or techniques.
For both experimental and control conditions, participants were offered a maximum of eight weekly sessions of adherence therapy or health education, each lasting on average between 30 and 50 min. Completion of treatment was defined as having attended at least five of the eight sessions over a maximum 5-month period. Both interventions were provided by one of nine therapists (four psychologists, three psychiatrists and two mental health nurses), all of whom had a background in delivering clinical interventions to people with schizophrenia. Treatment fidelity was assured as follows:
Both adherence therapy and health education were offered at each site in addition to treatment-as-usual, which consisted of regular contact with psychiatrists and case managers, pharmacological therapy and the availability of day care, social support and acute hospital admission as required (Becker et al, 2002).
Outcome measures
Assessments took place at baseline and at 1 year after randomisation. The
assessment scales included measures of sociodemographic characteristics,
quality of life, adherence and psychopathology. The key results for the
following scales are reported.
Medical Outcome Study (MOS) 36-Item Short Form Health Survey (SF–36)
The SF–36 is a self-report multidimensional survey measure of
health-related quality of life and well-being
(Ware & Sherbourn, 1992).
The scales of the SF–36 address eight health domains, and two summary
measures are provided: a physical component summary score (PCS) and a mental
component summary score (MCS). The MCS was selected as the main quality of
life (QoL) outcome measure, as it has been shown to have good sensitivity to
change, which is uncommon among QoL measures
(Rood et al, 2000).
Further, in people with severe mental illness, the SF–36 has been found
to have well-established psychometric properties (test–retest
reliability and internal consistency)
(Russo et al, 1998;
Tunis et al,
1999).
Schedule for the Assessment of Insight – Expanded Version (SAI–E)
From this semi-structured interview, we used the keyworker rating of
adherence, referred to as the SAI–C, on a scale ranging from 1 (complete
refusal) to 7 (active participation in treatment)
(David, 1990).
Medication Adherence Questionnaire (MAQ)
The MAQ addresses how patients may fail to take their medication as
prescribed, for example because of forgetfulness, carelessness, stopping the
drug when they feel better, or stopping the drug because they believe it makes
them feel worse. The scale has good levels of validity and reliability
(Morisky et al,
1986).
Brief Psychiatric Rating Scale – Expanded (BPRS–E)
The BPRS–E consists of 24 items measuring psychiatric symptoms
(Lukoff et al, 1986;
Ventura et al, 1993).
It measures four different dimensions: positive symptoms, negative symptoms,
depression and anxiety and manic excitement or disorganisation.
Sample size
A sample size of 300 participants was sought (150 in the treatment and 150
in the control group). This was sufficient to detect an overall difference
between intervention and control of six points in the SF–36 MCS scale,
based upon previous studies using such a magnitude of clinical change
(Ware & Kosinski,
2003a) and equivalent to a medium standard effect size,
with over 99% power. The calculation assumes that the analysis would adjust
for baseline values, that the pre–post correlation would be 0.5, and a
standard deviation of the MCS of about 12, as found in MOS patients (adults in
various settings with depression in the USA)
(Ware & Kosinski,
2003b). With an estimated 25% attrition rate, this
required the recruitment of 400 participants (100 per site on average) at
baseline.
Statistical methods
The effect of the intervention on the outcomes was assessed by comparing
the mean values for intervention and control at follow-up using analysis of
covariance (Mickey et al,
2004) to control for baseline value and site. The analyses were
completed on an intention-to-treat basis. Double-sided critical levels for
significance tests were used. Pro-rating dealt with missing items in the
computation of sub-scales for each participant, so long as there were fewer
than 20% missing items for that person; otherwise, the scale was set to
missing. This rule was overridden where there were specific instructions for
the scale (as in the case of the SF–36). If participants had an
observation at neither time point, they were excluded. Where only one value
was present, imputation was used for sensitivity analyses but not in results
tables or primary analyses. Mean (within-site) imputation was involved for
missing continuous covariates at baseline, such as the baseline values of the
outcomes, and analyses were weighted if necessary
(White & Thompson, 2005).
Follow-up values were also imputed from baseline values, and any other
relevant variables at follow-up, if available. As a further sensitivity
analysis, the MAQ and SAI–C scales, which were short scales with
non-normally distributed data, were analysed using ordered logistic
regression. Microsoft Access databases and SPSS version 11 for Windows were
used for initial data acquisition and checking, and Stata version 8.2 for the
analyses.
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View this table: [in a new window] | Table 1 Socio-demographic and clinical characteristics of the sample at baseline |
Clinical characteristics
At baseline there were no substantial clinical differences between the
control and treatment groups (Table
1). Participants in both groups had spent about 1 month in the
year before baseline as in-patients, and had been treated with antipsychotic
medication for about 12 years. Between sites there were some differences in
the profiles of symptoms and disability, but the variations in patterns of
service use were more marked and reflected different service configurations in
each of the four areas studied (Table
2) (Chisholm & Knapp,
2002).
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View this table: [in a new window] | Table 2 Key baseline characteristics of participants, compared by site1 |
Participant flow
Figure 1 shows the flow of
participants through the study in the CONSORT format. Of the 1218 people
screened, 917 were eligible to participate in the study. Of these, 366 (39.9%)
refused to participate, 142 (15.5%) could not be randomised for other reasons,
so a total of 409 (44.6%) were randomised. The three most common reasons for
refusing to participate in the study were that potential participants did not
have enough time, were not interested in the study or did not want to
participate in research.
![]() View larger version (17K): [in a new window] [as a PowerPoint slide] |
Fig. 1 CONSORT diagram. ICG, Item Group Checklist of the Schedule for Clinical
Assessment in Neuropsychiatry
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View this table: [in a new window] | Table 3 Comparison of participant trial completers and drop-outs and those lost to follow-up (baseline scores) |
Uptake of interventions and fidelity
The mean number of sessions of adherence therapy was 7 (s.d.=1.96) and the
mean duration of each session was 36 min (s.d.=12.10). The mean number of
sessions of health education was 7 (s.d.=2.49) and the mean duration of each
session was 30 min (s.d.=9.92). In all, 54 participants did not complete
treatment (attended fewer than 5 sessions in a 5-month period), split evenly
between the two groups.
Independent evaluation of 20 audiotapes of health education and 17 of adherence therapy, using the ATC, revealed that the adherence therapy was delivered in a way that was highly consistent with the adherence therapy manual. Participants receiving health education did not receive any of elements of adherence therapy.
Outcomes of intervention
Quality of life
There were no significant differences in quality of life between the two
intervention groups at baseline or at follow-up
(Table 4). Sensitivity analyses
confirmed this finding.
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View this table: [in a new window] | Table 4 Outcomes measures at baseline and follow-up according to treatment group |
Medication adherence
There was no significant difference between adherence therapy and health
education at follow-up. This indicates that interventions were essentially
equivalent. Sensitivity analyses did not reveal any major difference in these
findings.
We conducted an exploratory post-hoc analysis to examine the effect of adherence therapy in a subgroup of the less treatment-adherent participants (defined as a score of 2 or lower on the MAQ). Although such an analysis was not planned a priori, it was considered informative to explore any possible effect of adherence therapy in a sample of non-adherent individuals. Just under a third of the sample (n=120, 30%) met this criterion. There was no significant difference in medication adherence between the groups at follow-up.
Psychopathology
The experimental and control groups did not differ significantly at
baseline or at follow-up in terms of psychopathology.
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The study is the largest trial of adherence therapy to be conducted to date, and the sample size allows adequate statistical power to give a clear answer to the research question. High levels of treatment fidelity were achieved for both interventions. The intervention and control interventions were delivered by trained and clinically experienced therapists, and given over an average of seven sessions each which was realistic clinically (Kemp et al, 1998; ODonnell et al, 2003). The SF–36 MCS is a well-established measure of direct clinical relevance, which has been used in studies of people with schizophrenia (Meijer et al, 2002). Research ratings were conducted in a masked fashion, and high rates of follow-up were achieved.
We shall discuss the interpretation of our findings in terms of the patients referred to and included in the trial, the intervention, the therapists and the timing of assessments.
Over two-thirds of the patients referred to this trial as meeting the inclusion criteria were excluded and not randomised. Almost a third of the patients referred to the study refused to participate, and a further 142 were excluded for other reasons (e.g. they initially agreed to participate and then withdrew, or the research worker was unable to make contact with them). It is possible that this may have biased our sample towards a subsample of more cooperative and adherent people who were unlikely to benefit from adherence therapy.
The sample selection meant that we recruited people who, despite the inclusion criterion of evidence of clinical instability in the previous year, had levels of self-reported treatment adherence which were only moderately impaired (Breen & Thornhill, 1998; Lacro et al, 2002; Nose et al, 2003b). It is therefore possible that a ceiling effect was operating, in which there was little room for further adherence improvement. The subgroup analysis of participants with low treatment adherence, however, suggests there was no beneficial effect of adherence therapy even for the least adherent individuals, compared with health education. In addition, there were low rates of agreement between patientrated and staff-rated scores of treatment adherence. This confirms previous views that non-invasive measures of treatment adherence are poorly validated, whereas studies using biological assays, such as hair, urine or blood specimens, may be more valid. However, the latter raise their own problems such as low rates of consent among poorly treatment-adherent patients, and may themselves intervene to change adherence for as long as they take place (Cummings et al, 1984; Matsui et al, 1994; World Health Organization, 2003).
The interventions were offered in a single course of therapy over 5 months or less, with no booster sessions. Although the number of hours of intervention offered was as much as most services in these countries could implement routinely, it is possible that this was an insufficient dose of treatment to be effective, although our data do not suggest even a modest treatment effect of adherence therapy compared with health education as delivered. Effectiveness might have been reduced by the use of therapists not previously known to the participant. This approach is clinically realistic, as it is usual in service studies for structured psychological interventions to be given by therapists not previously known to the patient.
The study extends previous work in this field in several respects. The results are applicable to patients with schizophrenia in a range of general adult treatment settings, rather than the in-patient samples used in previous studies (Kemp et al, 1998; ODonnell et al, 2003). The results were consistent across all four study sites in different countries, despite some marked differences in patterns of service provision. Our results challenge the conclusions of previous reviews (Zygmunt et al, 2002; Nose et al, 2003a), which have indicated that such forms of adherence therapy show therapeutic promise. Our study also generates hypotheses for future studies, for example that adherence therapy might be effective when delivered by staff who are already members of a multidisciplinary clinical team, or that it might be selectively effective only in those patients who are least treatment adherent. This study therefore provides evidence of a lack of effect for adherence therapy in improving treatment adherence, psychopathology or quality of life of people with schizophrenia. The important challenge of how best to assist people with schizophrenia, who are unwilling or unable to adhere to treatment recommendations, therefore remains unresolved.
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