|
|
|||||||||||
Central and North West London Mental Health NHS Trust, UK
Department of Psychological Medicine, Imperial College London, UK
Central and North West London Mental Health NHS Trust, UK
Imperial College London, UK
Central and North West London Mental Health NHS Trust, UK
East London and City NHS Mental Health Trust, UK
Correspondence: Dr Mike Crawford, Department of Psychological Medicine, Claybrook Centre, St Dunstans Road, London W6 8RP, UK. Tel: +44 (0)207 386 1233; fax: +44 (0)207 386 1216; email: m.crawford{at}imperial.ac.uk
|
|
ABSTRACT |
|---|
|
|
|---|
Aims To examine the feasibility of a randomised trial of music therapy for inpatients with schizophrenia, and explore its effects on mental health.
Method Up to 12 weeks of individual music therapy plus standard care were compared with standard care alone. Masked assessments of mental health, global functioning and satisfaction with care were conducted at 3 months.
Results Of 115 eligible patients 81 (70%) were randomised. Two-thirds of those randomised to music therapy attended at least four sessions (median attendance, eight sessions). Multivariate analysis demonstrated a trend towards improved symptom scores among those randomised to music therapy, especially in general symptoms of schizophrenia.
Conclusions A randomised trial of music therapy for in-patients with schizophrenia is feasible. The effects and cost-effectiveness of music therapy for acute psychosis should be further explored in an explanatory randomised trial.
|
|
INTRODUCTION |
|---|
|
|
|---|
|
|
METHOD |
|---|
|
|
|---|
The study population were in-patients aged over 18 years with a primary diagnosis of schizophrenia, or schizophrenia-like psychoses (ICD10 (World Health Organization, 1992): F20F29). Patients being treated on a compulsory basis or lacking capacity were included so long as they provided assent and those involved in their care were happy for them to participate. Those with a secondary diagnosis of organic psychosis or dementia and those who spoke insufficient English to complete the baseline interview without the help of an interpreter were excluded from the study. Patients involved in the trial were excluded from music and other arts therapies (art, dance and movement, and drama therapy) during the trial. Local research ethics committee approval was obtained before the start of data collection.
Experimental and controlled treatment
All study patients received routine standard care including nursing care
and access to a range of occupational, social and other activities provided as
part of the in-patient programme. In addition, those randomised to music
therapy received up to 12 individual sessions of music therapy. In keeping
with clinical practice for treating people with acute psychosis, we evaluated
the impact of individual music therapy in this trial. Patients who were
discharged from the ward before the end of 12 weeks were encouraged to
continue attending music therapy on an out-patient basis for the remainder of
this period. Five music therapists took part in the trial. All had trained on
courses approved by the Health Professions Council, and received fort-nightly
supervision from a senior music therapist (A.M.) throughout the study
period.
Therapy sessions took place once a week, for up to 45 min. During sessions, patients were given access to a range of musical instruments and encouraged to use these to express themselves (Ansdell, 1995). As per routine practice, all sessions were digitally recorded. The focus of the therapy was on co-creating improvised music, with talking used to guide, interpret or enhance the musical experience. Initially the therapist listens carefully to the patients music and accompanies them closely, seeking to meet their emotional state in musical terms. Subsequently the therapist offers interventions in the form of opportunities to extend or vary the nature of the musical interaction (Pavlicevic et al, 1994; Bruscia, 1998). Supervision of music therapists involves reflection on the meaning of the interaction in an interpersonal context, and close examination of the co-improvisations by listening back to recordings of the sessions (Turry, 1998).
A random sample of these recordings was examined at the end of the trial in order to assess treatment fidelity. This involved listening to the recording and quantifying the amount of time spent by patients and therapists co-improvising music, playing solo, communicating verbally or in silence.
Those randomised to routine care alone were placed on a waiting list and offered music therapy at the end of the trial period.
Outcome measures
Our primary outcome measure was the total score on the Positive and
Negative Syndrome Scale (PANSS; Kay et
al, 1987), a 30-item rating scale which has been widely used
to examine changes in symptoms among people with schizophrenia and other
psychotic illnesses. Our secondary outcomes were selected on the basis of
their wide use in studies of psychosocial interventions for people with
schizophrenia. They comprised changes in the positive, negative and general
sub-scales of the PANSS; global functioning, assessed using the Global
Assessment of Functioning Scale (Jones
et al, 1995); and satisfaction with care, measured by the
Client Satisfaction Questionnaire (Atkinson
& Greenfield, 1994).
Data on all outcome measures were collected before randomisation and 3 months later. In addition, baseline demographic data, clinical details and details of all medication were collected from patient interview and in-patient notes.
Procedures
In consultation with ward staff, patients who met study criteria were
approached, provided with written and verbal information about the study and
asked whether they would be willing to take part in the trial. Those willing
to participate were asked to provide written informed consent or assent
(Medical Research Council,
1998). Those meeting study inclusion and not exclusion criteria
completed baseline assessment and were then assessed by a local music
therapist for suitability for music therapy. Those judged suitable were then
randomised to therapy plus routine care or to routine care alone, by block
randomisation stratified for hospital site, using randomisation lists derived
from a computer program. A randomisation ratio of therapy to routine care of
2:3 was used in order to balance researcher time and the availability of music
sessions.
All follow-up interviews were conducted by a researcher masked to treatment condition (N.T.) 3 months after randomisation. Patients who were not followed up within 1 month after this date were considered lost to follow-up. Extensive steps were taken to mask the researcher to the participants allocation status. Randomisation was conducted by a person independent of the researcher, and therapists and patients were instructed not to talk to the researcher about which arm of the trial they were in. All participants were offered a £10 postal order following completion of the 3-month follow-up interview.
Sample size and data analysis
In the absence of previous research providing an estimate of changes in our
primary outcome (total PANSS score at follow-up), we set out to recruit a
sample of a similar order to the 76 people that Tang and colleagues involved
when they demonstrated statistically significant reductions in negative
symptoms of schizophrenia among long-stay patients who received sessions in
which they listened to music and took part in group singing
(Tang et al,
1994).
Data from patient notes and interviews were double-entered into an Excel database and transferred to a STATA file (version 8.0) for data analysis. Multiple imputation was used to account for the missing data in outcome measures at follow-up. This method imputes m<1 plausible values for each missing value, under the assumption of missing at random. The missing at random holds when missing data are different from the observed data, but the pattern of missing data is traceable from the observed data (Rubin, 1987). Results are then combined using multiple imputation rules.
Baseline data including diagnosis and other routine data were used to ascertain whether study groups differed. The distribution of changes in mean PANSS scores 3 months after randomisation among the two groups was examined. Univariate tests examined differences in total PANSS scores between those randomised to experimental or control treatment on an intention-to-treat basis. Regression analysis adjusted for any differences in potential confounding factors. Multivariate models were built by forward stepwise regression.
|
|
RESULTS |
|---|
|
|
|---|
|
|
At 3-month follow-up, 69 interviews (85%) were completed. The rates of follow-up were 85% in both arms of the trial. We are aware of only one occasion when a breach of the study protocol led the researcher to become unmasked. As a further test of masking, N.T. attempted to guess the allocation status of each of the participants after 3-month follow-up data had been collected. The level of agreement beyond chance was in the low range (kappa=0.31, P<0.01).
Examination of a random sample of recordings of 810 min of music therapy from 21 sessions revealed that 648 min (80%) were spent in musical co-improvisation; 118 min (14.5%) in verbal dialogue; 16 min (2%) with the therapist and other patients singing or playing pre-composed music together; 13 min (1.6%) in silence; and 11 min (1.4%) with the patient singing or playing unaccompanied.
Study outcomes among those in each arm of the trial are compared in Table 2. Change in total PANSS scores among those in the therapy arm of the trial were significantly greater than those in the standard care arm of the trial. Modest differences in secondary outcomes did not reach statistical significance. Univariate analysis suggested that two other variables, baseline PANSS score and gender, were associated with differences in symptom scores at 3 months. These two factors were therefore included in a multivariate model examining factors associated with reductions in symptom scores (and are presented in Table 3).
|
|
Of those randomised to music, all attended at least one session and 7 (21%) attended all 12 sessions. The median attendance was eight sessions and 22 people (67%) attended at least four sessions. The most frequently stated reason for ending therapy was that the patient was discharged from the ward. When discharge took place after one or two sessions of music therapy re-attendance was rare, but when patients had already attended several sessions as in-patients, they generally returned to complete their sessions following discharge from hospital.
|
|
DISCUSSION |
|---|
|
|
|---|
Limitations
Limited time and resources meant that we were only able to randomise 81
people. Although this provided a sufficiently large sample to enable us to
estimate the scale of impact of music therapy, it was insufficient to identify
statistically significant differences in treatment outcomes between study
groups. Differences in baseline characteristics of patients at the start of
the trial further reduced the explanatory power of the study. We stratified
the sample by study site, but minimisation would have enabled us to ensure
that baseline characteristics in each arm of the trial were better balanced
(Altman & Bland, 2005).
Masking of researchers in trials of complex interventions is always a
challenging task. We are aware of only one occasion when allocation status was
revealed before completion of assessment of patient outcomes. However, we
cannot rule out the possibility that a degree of unmasking affected the
assessment of study outcomes.
Changes in symptom scores
Differences in symptom scores at the end of treatment were smaller than
those reported in previous studies of music therapy for inpatients
(Tang et al, 1994;
Hayashi et al, 2002).
Multiple factors could be responsible for these differences. First, previous
studies provided more intensive interventions and achieved higher levels of
attendance at therapy sessions. For instance, Tang and colleagues reported
that all patients involved in their trial attended all music therapy sessions.
We were keen to examine the effects of music therapy in an acute in-patient
setting. The length of in-patient stay has decreased in most mental health
units over recent years (National
Statistics, 2004), and in the present study the majority of
participants had left the in-patient unit before the end of therapy. As a
result of this, a third of those randomised to music therapy had fewer than
the four sessions we aimed to deliver to them. Previous studies have examined
the impact of music therapy among people with chronic schizophrenia, who
generally have the more negative symptoms. It is interesting that in this
study we saw the greatest differences in general and negative symptoms, and it
is possible that music therapy has particular effects on these symptoms,
effects which are likely to be most apparent when the intervention is used
among people with chronic schizophrenia.
General symptoms of schizophrenia measured by the PANSS refer to disturbances in depressive cognitions and depressed mood. Psychotropic medication has limited effects on these symptoms (Siris, 2000), but they are the ones most strongly associated with patient judgements about the value of the treatment they receive (van Os et al, 1999). Further consideration needs to be given to the potential that adjunctive music therapy has for improving such symptoms among people with schizophrenia.
We found little difference in other secondary outcomes measured in the trial. This may be because music therapy does not have an effect on these outcomes, but it could also be the result of the limited statistical power of a study of this size. An alternative explanation is that we did not follow patients up long enough for changes to become apparent. A lag between impact on symptom scores and changes in social functioning has been reported in previous trials examining psychosocial interventions for people with schizophrenia (Kemp et al, 1996).
Future research
We believe that findings from this study provide sufficient evidence to
justify a larger explanatory trial of music therapy for people with
schizophrenia. We estimate that data on 214 people would need to be obtained
in order to have 80% power to explore a difference of the magnitude we found
at a 5% level of statistical significance. Recruitment of participants from a
range of acute and less acute settings would provide an opportunity to see
whether music therapy has differential effects on different symptom groupings.
Such a trial would benefit from a longer follow-up period to examine whether
the impact of therapy is sustained. It should also include more detailed
measures of mood which may be particularly responsive to this form of
intervention. A larger trial could also provide an opportunity to examine the
active ingredients of music therapy for people with schizophrenia. This could
be achieved either through using an active control group to account for
non-specific aspects of therapy such as time spent with a therapist, or by
combining the collection and analysis of qualitative and quantitative data in
order to examine the relationship between the process and outcomes of music
therapy.
|
|
ACKNOWLEDGMENTS |
|---|
|
|
|---|
|
|
REFERENCES |
|---|
|
|
|---|
Ansdell, G. (1995) Music for Life. London: Jessica Kingsley.
Atkinson, C. & Greenfield, T. (1994) Client Satisfaction Questionnaire 8 and Service Satisfaction Scale 30. In Psychological Testing: Treatment Planning and Outcome Assessment. San Francisco, CA: Lawrence Erlbaum.
Bruscia, K. E. (1998) Defining Music Therapy. Gilsum, NH: Barcelona.
Department of Health (2003) Mental Health Policy Implementation Guide: Adult Acute In-Patient Care Provision. London: Department of Health.
Hayashi, N., Tanabe,Y., Nakagawa, S., et al (2002) Effects of group musical therapy on inpatients with chronic psychoses: a controlled study. Psychiatry and Clinical Neurosciences, 56, 187 193.[Medline]
Jones, S. H.,Thornicroft, G., Coffey, M., et al
(1995) A brief mental health outcome scale. Reliability and
validity of the Global Assessment of Functioning (GAF). British
Journal of Psychiatry, 166, 654
659.
Kay, S. R., Fiszbein, A. & Opler, L. A. (1987) The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13, 261 276.[Medline]
Kemp, R., Hayward, P., Appplewhaite, G., et al
(1996) Compliance therapy in psychotic patients: randomised
controlled trial. BMJ,
312, 345
349.
Medical Research Council (1998) MRC Guidelines for Good Clinical Practice in Clinical Trials. London: Medical Research Council.
National Statistics (2004) NHS In-Patient Activity for Sick and Disabled People: Social Trends 34. London: Office for National Statistics.
Office for National Statistics (2003) Census 2001: National Report for England and Wales. London: Office for National Statistics.
Pavlicevic, M. & Trevarthen, C. (1989) A musical assessment of psychiatric states in adults. Psychopathology, 22, 325 334.[Medline]
Pavlicevic, M., Trevarthen, C. & Duncan, J. (1994) Improvisational music therapy and the rehabilitation of persons suffering from chronic schizophrenia. Journal of Music Therapy, 31, 86 104.
Rubin, D.B. (1987) Multiple Imputation for Non-Response in Surveys. New York: John Wiley.
Sainsbury Centre for Mental Health (1998) Acute Problems: A Survey of the Quality of Care in Acute Psychiatric Wards. London: Sainsbury Centre for Mental Health.
Siris, S. G. (2000) Depression in
schizophrenia: perspective in the era of "atypical"antipsychotic
agents. American Journal of Psychiatry,
157, 1379
1389.
Tang, W.,Yao, X. & Zheng, Z. (1994) Rehabilitative effect of music therapy for residual schizophrenia. A one-month randomised controlled trial in Shanghai. British Journal of Psychiatry, 165 (suppl. 24), 3844.
Turry, A. (1998) Transference and counter-transference in Nordoff Robbins music therapy. In The Dynamics of Music Psychotherapy (ed. K. Bruscia). Gilsum, NH: Barcelona.
van Os, J., Gilvarry, C., Bale, R., et al (1999) To what extent does symptomatic improvement result in better outcome in psychotic illness? UK 700 Group. Psychological Medicine, 29, 1183 1195.[CrossRef][Medline]
World Health Organization (1992) Tenth Revision of the International Classification of Diseases and Related Health Problems (ICD10). Geneva: WHO.
Received for publication July 8, 2005. Revision received January 24, 2006. Accepted for publication March 3, 2006.
Related articles in BJP:
This article has been cited by other articles:
![]() |
T. Sarkamo, M. Tervaniemi, S. Laitinen, A. Forsblom, S. Soinila, M. Mikkonen, T. Autti, H. M. Silvennoinen, J. Erkkila, M. Laine, et al. Music listening enhances cognitive recovery and mood after middle cerebral artery stroke Brain, March 1, 2008; 131(3): 866 - 876. [Abstract] [Full Text] [PDF] |
||||
![]() |
A.-N. Choi, M. S. Lee, and J.-S. Lee Group Music Intervention Reduces Aggression and Improves Self-esteem in Children with Highly Aggressive Behavior: A Pilot Controlled Trial Evid. Based Complement. Altern. Med., January 28, 2008; (2008) nem182v2. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Gold Music therapy improves symptoms in adults hospitalised with schizophrenia Evid. Based Ment. Health, August 1, 2007; 10(3): 77 - 77. [Full Text] [PDF] |
||||
![]() |
P. TYRER The British Journal of Psychiatry, August 1, 2007; 191(2): 188 - 188. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Psychiatric Bulletin | Advances in Psychiatric Treatment | All RCPsych Journals |