Effect of Token Economy on Self care Management of
Patients with Schizophrenia
Mr. Mohammed Anas .I
Assistant professor, Pushpagiri
College of Nursing, Thiruvalla, Kerala, India
*Corresponding
Author’s Email: mhammedanas2011@gmail.com
ABSTRACT:
The study was aimed at evaluating the effect of Token
economy on self care management of patients with Schizophrenia admitted at the
Government Mental Health Centre, Kuthiravattom,
Kozhikode. A quasi experimental approach with one group pre test post test
design was selected for the study. The sample consisted of 30 patients with
Schizophrenia admitted in the male and female family therapy wards of Govt.
Mental Health Centre, Kuthiravattom, Kozhikode. The
subjects were selected based on non probability purposive sampling. The tools
used for data collection were Structured interview schedule to collect
Socio-personal data and Modified Social-Adaptive Functioning Evaluation Scale
to assess the self care management of patients with schizophrenia. Content
validity of the tools were done with the help of experts and the reliability
was checked by cronbach’s alpha. Token economy method
was planned and implemented as an intervention. The study was conducted among 30 patients with schizophrenia admitted
in the male and female family therapy wards of Govt. Mental Health Centre, Kuthiravattom, Kozhikode. The self care management ability
was assessed before and after the Token economy intervention. The data
collected were organized and analyzed using descriptive and inferential
statistics. The findings of the study were: Patients with Schizophrenia
suffered from impairment in self care management, Token economy intervention produced a significant
(p<0.001) improvement in the self care management of patents with
schizophrenia. From this study, it is clear that Token economy intervention was
effective in improving the self care management of patients with Schizophrenia.
The findings of the study have implications in nursing practice, education,
administration and research. It also justified the growing importance to
psychiatric rehabilitation nursing. The study reveals that the implementation
of Token economy intervention along with pharmacotherapy will definitely help
patients with Schizophrenia and adds to the quality of nursing care provided.
KEYWORDS: Schizophrenia, Self care management, Token economy
INTRODUCTION:
Mental health problems are among the most important
contributors to the burden of disease and disability worldwide. Mental health
problems are the fifth leading cause of disability worldwide.
It has been estimated that around 450 million people
suffer from a mental or behavioural disorder in the
world. But only a small minority of them receive even the most basic treatment.
Unfortunately, in most part of the world mental health and mental disorders are
not given importance like the physical health. Mental illnesses have been
largely ignored or neglected and stigmatized (WHO, 2001). According to
ICD-10,Schizophrenia is a group of disorders manifested by fundamental
disturbance or distortion in thinking, mood and
behavior, last for at least a month of active phase symptoms like
delusions, hallucinations, disorganized speech, grossly diagnosed or catatonic
behavior, negative symptoms such as shallow or flat effect, alogia
or avolition and incongruos
mood.iii Schizophrenia is the most common psychotic illness in
Kerala State, comprising 1.3 per cent of the burden-diseases in the State. It
is estimated that 320,000 people in Kerala suffer from schizophrenia.i
Schizophrenia is often described in terms of positive and negative (or deficit)
symptoms. Positive symptoms are
those that most individuals do not normally experience, but are present in
people with schizophrenia. They can include delusions, disordered thoughts and
speech, and tactile, auditory, visual, olfactory and gustatory hallucinations,
typically regarded as manifestations of psychosis.v
Schizophrenia is one of the most persistent and disabling mental illness that
an individual can suffer from fundamental and characteristic distortions of
thinking and perception, inappropriate or blunted affect, cognitive deficits,
delusions, hallucinations and impairment in overall quality of some aspects of
personal behavior which manifest as loss of interest, aimlessness, idleness, a
self absorbed attitude and social withdrawal.
Disability in schizophrenia develops first in
peripheral social contacts, then in the circles closer to the person and
finally the inner most circle of personal self-care. When psychotic episode
resolves, the disabilities tend to improve in the reverse order. Schizophrenia
imposed the functional limitations that results in disturbances of the ability
to perform certain activities. The disability include poor self-care skills
(Cooking, cleaning, grooming and tooth care), social withdrawal, seductiveness,
abandonment of family responsibility and working capacity. Nowadays varieties
of pharmacologic treatments are available for schizophrenia. In addition to
that, A number of psychosocial interventions may be useful in the treatment of
schizophrenia including: family therapy, assertive community treatment,
supported employment, cognitive remediation, skills training, token economic
interventions, and psychosocial interventions for substance use and weight management.ii Token
economy programs are generally used in long-term care setting such as long-stay
inpatient units and residential care settings, but can be adapted for shorter
stay and less intensive treatment programs as well. The primary goal of
a token economy is to increase desirable behavior and decrease undesirable
behavior.
NEED AND SIGNIFICANCE OF THE STUDY:
The efficacy of token economies has been
demonstrated in a variety of inpatient settings and with numerous
populations. Which included chronic
psychiatric patients, mentally retarded adults and children,
patients with brain injuries, and
individuals in alcohol treatment. Due to apathy or lack of motivation over the course of the illness,
poor personal hygiene can be a problem for clients who are experiencing
psychotic symptoms as well as for all clients with schizophrenia. Positive
reinforcement helps to motivate the demotivated
patients to do activities of daily living. Token economy is the most effective
positive reinforcement intervention.iv
For the lack of motivation, only few numbers of patients were involved in
psychosocial therapies. So patients need positive reinforcement along with
medication for improving the social skill and self care ability. The
psychiatric mental health nurse led a major role in the mental health team.
Activities of daily living skills are an exclusive area where nurses are
totally responsible. Activities of daily living of the patients with schizophrenia
need to improve are essential and this could be made possible by providing
reinforcement. As far as the researcher’s knowledge is considered, so far no
study has been conducted to prove the effect of Token economy on Self care
management of patient with schizophrenia. Hence, the investigator thought of
doing a study to evaluate the effect of Token economy on self care management
of patient with schizophrenia in our settings.
STATEMENT OF THE PROBLEM:
Evaluate the Effect of Token economy on
Self care Management of Patients with
Schizophrenia at Government Mental Health Centre, Kuthiravattom,
Kozhikode.
OBJECTIVES:
1.
Assess
the Self care management of patients with Schizophrenia before and after the
administration of Token economy as measured by Modified Social-Adaptive
Functioning Evaluation Scale (SAFE).
2. Evaluate the effect of Token economy on
self care management of patients with Schizophrenia.
3. Find out the association between the effect
of Token economy on Self care management of patients with Schizophrenia and
selected variables.
Hypotheses:
H1. There will be significant
difference in the rating score of Self care management of patients with
Schizophrenia before and after the administration of Token economy.
H2. There will be significant
association between the performance of Self care of patients with Schizophrenia
and selected variables.
MATERIALS
AND METHODS:
Research Approach:
Quantitative Research
Approach
Research design:
one group pre test post test quasi experimental design
Research Setting:
Government Mental Health Centre (GMHC), Kuthiravattom, Kozhikode
Population and Sample:
The target population of this study was the patients
with Schizophrenia. The sample constituted of 30 patients with Schizophrenia
admitted in the male and female family therapy wards of Government Mental
Health Centre (GMHC), Kuthiravattom, Kozhikode who
fulfilled the criteria for sample selection.
Inclusion Criteria:
Patients
· Diagnosed as schizophrenic with poor self
care management those who score 10 or
below in Modified Social-Adaptive Functioning Evaluation scale.
· Between the age group of 16-65 years.
· Duration of illness- more than one year.
· Those who are able to follow the concept of
Token economy.
· Those who are able to follow investigator
instruction.
Exclusion criteria
Patients
· With
Aggressive behavior.
· Those who are diagnosed as Schizophrenic
and performing adequate Self care.
· Those who are mentally and physically
challenged.
Sampling technique:
Non probability purposive sampling
Tools and Technique
· The data collection technique used for the
investigation consist of interview, observation and review of clinical data
sheet.
· Tool-I -- Structured interview schedule to
collect socio-personal data of patients with Schizophrenia.
· Tool-II--Modified Social-Adaptive
Functioning Evaluation Scale to assess the Self care Management of patients
with Schizophrenia.
Data Collection Process:
The investigator screened the population using Tool-II
(Modified SAFE Scale) and selected the sample (N=30) who fulfilled inclusion
criteria. A structured interview schedule was used to collect the
Socio-personal data and clinical data. Pretest was conducted using Tool II for
assessing the self care management ability of patients with schizophrenia for
consecutive 3 (1-3) days. Proper instructions were given by the investigator to
care givers and patients regarding administration of Token economy intervention
on the 3rd day of the pre test. From the next day onwards token
economy intervention was started, assessing the self care management ability
using Tool-II through observation and caregiver interviews. At the end of each
day tokens were given to the patients based on the Self care performance scores
in the Tool II. Each token can be exchanged
in to packed snacks (biscuits, sweets, etc..) as a privilege on daily basis. It
was continued for consecutive 7(day 4-10) days. Post test was conducted on next
3 consecutive days (day 11-13) for assessing the self care management ability
of patients with schizophrenia without token economy intervention using the Tool-II.
Mode
of Token:
In this study mode of token is directly proportional
to the scores on each sub areas; it means if the initial score is 0 (extreme
impairment) and subsequently it reduces to 1 (severe impairment) the patient
gets one token, likewise the score reduces the number of token increases and it
is directly proportional. Same like each 5sub areas should assess daily. Token
valance is estimated for patient who attained maximum of 24 tokens.
Table 1 Frequency
and Percentage Distribution of
Subjects Based on socio-personal data N=30
|
Characteristics |
Frequency |
Percentage |
|
Age 16-25yrs 26-35yrs 36-45yrs 46-55yrs Sex Male Female Care giver mother father siblings spouse |
6 12 8 4 16 14 14 7 3 6 |
20 40 26.7 13.3 53.3 46.7 46.7 23.3 10 20 |
Table 1 shows that, among the subjects 40% belongs to
the age group of 26- 35 years, 53.3%
of them are males and 46.7% subjects are cared by their mothers.
Figure 1. Distribution of
subjects based on duration of mental illness.
Figure 1 shows that the duration of mental illness was
4-6 years in 50% of the subjects.
Figure 2. Distribution of
subjects based on duration of treatment.
Figure 2 shows that the duration of treatment was 4-6
years in 50% of the subjects.
Figure 3: Distribution of
subjects based on number of hospitalization in last year.
Figure 5 shows that 80% of subject have the history of
hospitalization in the last year.
Table
2. Distribution of sample based on self care management score N=30
|
Self care Management |
Score range |
Pre test |
Post test |
||
|
f |
% |
f |
% |
||
|
Extreme
impairment |
0 |
0 |
0 |
0 |
0 |
|
Severe
impairment |
1-5 |
17 |
56.7 |
0 |
0 |
|
Moderate
impairment |
6-10 |
13 |
43.3 |
0 |
0 |
|
Mild
impairment |
11-15 |
0 |
0 |
14 |
46.6 |
|
No
impairment |
16-20 |
0 |
0 |
16 |
53.3 |
Table 2 shows
that subject having 56.7% were severe impairment and 43.3% moderate impairment
in self care management before administration of token economy. After
implementing token economy 53.3% subjects had no impairment in self care
management.
From Table3
it is clear that there is significant
difference between the pre test and post test mean scores in bathing and grooming (t(29)=
41.71, p-value <0.001), clothing
and dressing (t(29)= 32.514, p-value <0.001), eating and feeding (t(29)=
27.149, p-value <0.001), neatness
and maintenance activities (t(29)= 30.483, p-value
<0.001), recreation/leisure
(t(29)= 28.176, p-value <0.001) and total self care management of patients with
Schizophrenia (t(29)= 54.598,
p-value <0.001). Hence the null hypothesis rejected at 0.05 level. The
findings indicate that Token economy is effective in improving self care management of patients with Schizophrenia.
Table
3 Significance of Difference in the Mean Pre test and Post test scores in Self
care Management Skills of patients with schizophrenia. N=30
|
Self care Management
Skills |
Pre test |
Post test |
t-value |
df |
p-values |
||
|
|
Mean |
SD |
Mean |
SD |
|
|
|
|
Bathing and
Grooming Clothing and
dressing Eating and
feeding Neatness and
maintenance activities Recreation/leisure Total self care management |
1.02 1.14 1.45 1.11 0.28 5.02 |
0.30 0.32 0.38 0.28 0.35 0.83 |
3.02 3.06 3.46 2.90 2.71 15.18 |
0.39 0.46 0.44 0.32 0.52 1.41 |
41.71 32.51 27.14 30.48 28.17 54.59 |
29 29 29 29 29 29 |
<0.001 <0.001 <0.001 <0.001 <0.001 <0.001 |
DISCUSSION:
The study has evaluated the effect of Token economy on self care
management patients with Schizophrenia. The study revealed that 56.7% of the
patients with Schizophrenia had severe impairment and 43.3%of the patients with
schizophrenia had moderate impairment in self care management. In the study, 30
patients with schizophrenia subjected to token economy intervention had shown
significant improvement (p<0.001) in total
self care management such as bathing
and grooming, clothing and
dressing ,eating and feeding, neatness and maintenance activities and recreation/leisure
activities. In the study, 30 patients with schizophrenia were subjected
to token economy intervention for seven days and the effect on self care
management was tested, 53.3% of the subject shows no impairment and 46.6% of
the subjects shows mild impairment in self care management after token economy.
This findings show token economy was effective in self care management of
patients with schizophrenia. On the whole token economy is effective in
improving self care management of patient with schizophrenia.
CONCLUSION:
Based on the findings of study, the following
conclusions were made
· Patients with schizophrenia suffered from
impairment in self care management.
· Token economy intervention produced a
significant improvement in the self care management of patents with
schizophrenia.
NURSING
IMPLICATIONS:
The findings of the study have implications
to nursing practice, nursing education, nursing administration and nursing
research.
Nursing
Practice:
Patients with schizophrenia have significant dysfunction
in one or more major areas of life activities such as interpersonal relations,
work or education, self-care family life, and communication. Lack of motivation is the one of the main schizophrenic negative
symptom. . Motivation is the essential factor for getting back the clients
maladaptive behavior into adaptive behavior.
Psychiatric nurses play an important role in the mental health care team
for motivating the patients who are not interested in taking care of him/her
self. Behavioral therapy occupies important position among clinical
interventions for modifying behavior of patient with schizophrenia. Psychiatric
nurses should implement token economy as a positive reinforcement intervention
for motivating the clients.
Nursing
Education:
Nurses should be equipped with adequate
knowledge and necessary skill in the rehabilitation of the mentally ill. The
nursing curriculum should be revamped lying importance on various
psychotherapies like behavioral, cognitive, family, individual and group therapies.
The student should recognize its importance and should become part of its
practice. Appropriate measures should be adopted to implement the curriculum
effectively, which includes close observation of the behavior patterns of the
clients, visits to rehabilitation centers, clinical posting at different
psychosocial therapy units, and working out different therapies with the
patients.
Nursing
Administration:
Every effort must be made to increase the
psychosocial, cognitive, behavioral and occupational therapeutic facilities in
the psychiatric hospitals and in the community. The nurse administrators should
take due interest to plan and implement policies regarding rehabilitation
programs to maintain a therapeutic milieu.
Nursing
Research:
Nurses should come forward to conduct research on the
effect of token economy in various psychiatric disabilities. The evidence base
practice should be promoted to improve the quality of care rendered to the
clients.
RECOMMENDATIONS:
· Similar study can be conducted on a larger
sample and different setting.
· Similar study can be conducted with a
control group.
· Similar study can be conducted in wards
where no bystanders are permitted.
· Similar study can be conducted to check the
long term effect of intervention.
· Similar study can be conducted on patients
with other psychiatric disorders like depressive disorders.
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3. Neeraja KP, Essentials of
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Sadock, and Benjamin J, New York. 2005; 8th ed: pp.2405-2408.
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Received on 18.07.2016 Modified on 02.09.2016
Accepted on 05.09.2016 ©
A&V Publications all right reserved
Int. J. Adv. Nur. Management. 2016; 4(4): 334-338.
DOI: 10.5958/2454-2652.2016.00075.5