ArticlePDF Available

Abstract

Mental disorders pose a major challenge to the community due to early onset, chronic progressively deteriorating course, frequent relapses and disability. They are associated with tremendous distress both for the patient and the caregiver, and can produce significant disability, especially when not treated in a timely manner. This review aims to discuss the burden of mental illness in terms of economic cost, family burden, disability and unemployment in India. After a conceptual overview of burden, barriers to mental health and treatment gaps are discussed. Finally, progress made in the area of mental health, recent government initiatives and future directions to address the growing problems associated with mental disorders are discussed.
Full Terms & Conditions of access and use can be found at
http://www.tandfonline.com/action/journalInformation?journalCode=rccm20
International Journal of Culture and Mental Health
ISSN: 1754-2863 (Print) 1754-2871 (Online) Journal homepage: http://www.tandfonline.com/loi/rccm20
Burden of mental illness: a review in an Indian
context
Sahithya B. R. & R. P. Reddy
To cite this article: Sahithya B. R. & R. P. Reddy (2018): Burden of mental illness: a
review in an Indian context, International Journal of Culture and Mental Health, DOI:
10.1080/17542863.2018.1442869
To link to this article: https://doi.org/10.1080/17542863.2018.1442869
Published online: 08 Mar 2018.
Submit your article to this journal
Article views: 85
View related articles
View Crossmark data
Burden of mental illness: a review in an Indian context
Sahithya B. R.
a
and R. P. Reddy
b
a
Department of Psychiatry, St. Johns National Academy of Health Sciences, Bangalore, India;
b
Department of Clinical
Psychology, National Institute of Mental Health and Neurosciences, Bangalore, India
ABSTRACT
Mental disorders pose a major challenge to the community due to early
onset, chronic progressively deteriorating course, frequent relapses and
disability. They are associated with tremendous distress both for the
patient and the caregiver, and can produce significant disability,
especially when not treated in a timely manner. This review aims to
discuss the burden of mental illness in terms of economic cost, family
burden, disability and unemployment in India. After a conceptual
overview of burden, barriers to mental health and treatment gaps are
discussed. Finally, progress made in the area of mental health, recent
government initiatives and future directions to address the growing
problems associated with mental disorders are discussed.
ARTICLE HISTORY
Received 20 November 2017
Accepted 16 February 2018
KEYWORDS
Burden; mental disorders;
economic cost; disability;
barriers to mental health;
mental health policy
1. Introduction to India
India is a diverse country with a range of languages, religions and cultures. It is the second most
populated country in the world, with approximately one-sixth of the worlds population, and is pro-
jected to be the worlds most populated country by 2024 (United Nations, 2017). The Eighth Sche-
dule of the Constitution of India, as of 2007, listed 22 official languages. The overall literacy rate is
74.04%, with male literacy being 82.14% and that of females being 65.46% (Registrar General of
India, 2011). In addition, a large proportion of the population lives in rural areas, with agriculture
being the main occupation. There were about 363 million people, (i.e. 29.5% of Indias population)
living below the poverty line in 20112012 (Planning commission, Government of India, 2014).
Thus, the varying levels of education, socioeconomic status, gender differences and urban rural
divide make India a diverse nation. Such diversity, however, presents with unique challenges in
the context of managing mental health. The interconnections between sociocultural factors and
mental health not only influence the illness manifestations and psychopathology, but also the burden
of mental illness.
2. Mental disorders
Mental disorders are common in general populations across the world, and represent a wide spec-
trum of illness, which ranges from mild anxiety states to severe forms of behavioural and thought
abnormalities such as those seen in schizophrenia. Mental disorders are associated with high levels
of stigma, disability and discrimination, which significantly contribute to the burden of disease
(Trani et al., 2015). Mental illness causes misery to both the patient and their families, and leads
to loss of quality of life, economic loss and social dysfunction (Pompili et al., 2014).
© 2018 Informa UK Limited, trading as Taylor & Francis Group
CONTACT Sahithya B.R. sahithyabr@gmail.com Department of Psychiatry, St. Johns National Academy of Health Sciences,
Bangalore, Karnataka, India
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH, 2018
https://doi.org/10.1080/17542863.2018.1442869
The exact causes of mental health problems are unknown and there is no consensus on single
factor involved in most mental disorders. Generally, a bio-psycho-social approach is used to under-
stand the etiology of mental illness. In developing countries like India, the social determinants of
health, such as poverty, unemployment, illiteracy, low living standards and related factors, have
been associated with mental illness (Lund et al., 2010). Many mental disorders begin in child-
hood-adolescence, and may have significant adverse effects on subsequent role transitions (Kessler
et al., 2009)
There is no general consensus on the exact prevalence of mental disorders across India. Several
epidemiological studies have attempted to determine the prevalence of mental disorders. However,
most of these surveys are plagued by a host of methodological problems, including lack of focus on
common mental disorders and unclear timeframes for estimating prevalence (Sagar et al., 2017).
Therefore there is no national-level consensus available for India. Various meta-analysis of epide-
miological studies have estimated the prevalence at between 5.82% (Reddy & Chandrashekar,
1998) and 7.3% (Ganguli, 2000). Math, Chandrashekar and Bhugra (2007) critically evaluated the
prevalence rate of mental disorders as reported in Indian epidemiological studies and found that
these discrepancies were not specific to India alone, but were also witnessed in international studies.
A recent National Mental Health Survey of India (Gururaj et al., 2016) reported a lifetime prevalence
rate of mental disorders to be 13.7%, and that nearly 150 million Indians were in need of active inter-
vention. Despite having high rate of mental disorders, it is believed that the estimates of prevalence
reported by Indian epidemiological studies are much lower than the accurate reflections in the popu-
lation. Such inaccuracies may result from systematic underreporting due to stigma, unreliable infor-
mants, use of low sensitivity screening instruments and poor sampling methods (Math et al., 2007).
3. Burden of mental disorders
Burden not only refers to estimates of prevalence or costs associated with the disorder, but also of
disability, stigma and impact of living with a patient in terms of quality of life or health of family
members. Mental illness affects almost all areas of day-to-day functioning, resulting in greater dis-
ability and increased burden on caregivers (Swain & Behura, 2016). It also results in lower pro-
ductivity and earning potential, as well as a number of antisocial behaviours, crime, homelessness,
domestic violence, alcohol and drug use. Persons with mental disorders account for nearly a quarter
of the total caseload in primary care settings, highlighting the burden at peripheral levels as well
(Gururaj et al., 2016). In addition to their health impact, mental disorders cause a significant econ-
omic burden due to reduced productivity and economic output, as well as due to the link between
mental disorders and costly, potentially fatal conditions such as cancer, cardiovascular diseases, dia-
betes, HIV, obesity and so on (Mnookin, 2016). In addition, death by suicide, which is frequently
caused by mental disorders, also has an enormous impact on the family and society. Suicide
death rates in India are among the highest in the world, and at ages 1529 years, suicide is the second
leading cause of death in both sexes after transport accidents (Patel et al., 2012).
According to the World Health Organization (WHO 2001), the burden of mental disorders is well
beyond the treatment capacities of developed and developing countries, and the social and economic
costs associated with this growing burden will not be reduced by the treatment of mental disorders
alone. The burden of mental illness is on the rise in India (Patel et al., 2011). Earlier, joint family
systems used to support many of the ill effects of disease, and persons with mental illness were man-
aged and cared for within the family. Unfortunately, this support system appears to be gradually
diminishing. Young people are migrating to urban areas because of urbanization and industrializ-
ation, resulting in increased isolation. Mental disorders are on the rise due to the stress and strains
of life, unemployment, disturbed sex ratios, poverty and poor quality of life. In addition, as mental
disorders are associated with widespread social stigma and discrimination, families do not easily dis-
close the disease until the illness becomes unmanageable (Luthra, 2017).
2SAHITHYA B. R. AND R. P. REDDY
3.1. Economic cost
Giving an exact estimate of the economic costs of mental illness is not an easy task as indirect costs of
mental disorders are higher than direct costs (Bloom et al., 2011). Direct costs include costs of con-
sultation, medication, hospitalization, diagnostics, residential care, community services, rehabilita-
tion and so on, while indirect costs include those costs incurred due to illness, such as the
reduced supply of labour, reduced educational attainment, expenses for social support and costs
associated with consequences like chronic disability, homelessness, crime, suicide, caregiver burden,
early mortality, substance abuse and so on. Mental health costs stand highest in terms of burden;
they account for more than half of the projected total economic burden from non-communicable
diseases and are responsible for 35% of the global lost output (Bloom et al., 2011). According to
recent global health estimates by the WHO (2015), mental disorders account for 30% of the non-
fatal disease burden worldwide and 10% of overall disease burden, including death and disability.
Bloom et al. (2011) estimated that the global cost of mental illness in 2010 was US$ 2.5 trillion,
and that 54% of that burden was borne by low- and middle-income countries. They projected
that by 2030 this figure would go up by about 240%, to $6 trillion, and the proportion of burden
borne by low- and middle-income countries will reach up to 58%. India alone stands to lose US
$1.03 trillion before 2030 due to mental health conditions (Bloom et al., 2014).
In India, Math and Srinivasaraju (2010) attempted to estimate the treatment costs of mental ill-
nesses. By taking the prevalence rate of mental illness as 200/1000 population, and calculating indi-
vidual cost of Rs. 500 per month, they estimated the approximate total cost required per month to be
Rs.10,000 crores (US$ 100 billion). However, they did not account for hospitalization or indirect
costs. The recent National Mental Health Survey of India (Gururaj et al., 2016) reported a higher
burden in terms of economic cost involved in care of a person with mental illness, mainly as out-
of-pocket expenditure. The researchers found that the families had to spend nearly Rs. 10001500
a month, mainly for treatment and travel to access care, which is nearly three times more than
what had been reported by previous researchers. However, they did not include hidden and intan-
gible costs, which are difficult to monetize, but add to the burden, often driving families into econ-
omic crisis.
3.2. Disability and unemployment
Disability is the restriction or inability to perform an activity within a range that is considered nor-
mal (WHO, 1980). Mental disorders are one of the largest contributors to disability worldwide,
accounting for 25% of total disability (WHO, 2001). Five of the ten leading causes of disability
are in the category of mental illnesses: major depression, alcohol dependence, schizophrenia, bipolar
affective disorder and obsessive-compulsive disorder (WHO, 2001). Mental and neurological con-
ditions account for 33% of all years lived with disability (YLDs), with neuropsychiatric disorders
alone accounting for 13% of the total disability-adjusted life-years (DALYs) lost due to all diseases
and injuries (WHO, 2002). However, disability associated with mental disorders appears to be sig-
nificantly underestimated, and recent estimates of disease burden for mental illness show that the
global burden of mental disorders account for 32.4% of YLDs and 13.0% of DALYs (Vigo, Thorni-
croft, & Atun, 2016).
In addition, people with long-term mental health problems have more chronic health conditions,
tend to develop chronic health conditions at a younger age and die sooner following diagnosis than
others (WHO, 2011). People with mental disorders have higher mortality rates. Those with schizo-
phrenia and major depression have an increased risk of mortality (1.6 and 1.4 times, respectively),
which is greater than that of the general population because of physical health problems associated
with mental disorders (Funk, 2012).
Disability is caused not only because of the nature of symptoms or comorbid physical conditions,
but also due to the side-effects of some of the medication used in treatment. The side-effects include
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH 3
drowsiness, dizziness, headache, confusion and so on, which create difficulties at work or in school.
Disability may also be due to the irregular nature of the illness, which creates problems in establish-
ing or maintaining consistent work or school patterns, thereby interrupting education or training.
Mental health problems also affect ones efficiency at work due to decreased concentration, activity
and performance, or absenteeism, which might result in unemployment. In many developed
countries 3545% of absenteeism is because of mental health problems (WHO, 2003). Disability
leave for mental disorders is almost twice the cost of a leave due to physical illness, and individuals
with mental illness are less likely to be employed (Dewa & McDaid, 2011). In fact, unemployment
rates are as high as 7090% for people with severe mental illnesses (Marwaha & Johnson, 2004).
There are very few Indian studies that have looked into the employment status of persons with
mental illness. Sometimes, a person is looked after within the joint family systems or given minor
role in family business or agricultural activities. However, this is not always the case, especially in
urban setups. The latest census (Registrar General of India, 2011) recorded self-reported disabilities,
which included mental illness. This is probably the first study of its kind to investigate the employ-
ment status of persons with mental illness in India. This study indicated that 78.62% of persons with
mental illness were not employed, and only 13.15% were currently employed. Such a high rate of
unemployment among persons with mental illness calls for immediate attention to create healthy,
special job opportunities, reservations and several other rehabilitative measures exclusively for
this vulnerable group (Ramasubramanian, Mohandoss, & Namasivayam, 2016).
3.3. Family burden
Family members are often the primary caregivers of people with mental disorders, who provide
emotional and physical support to the patient and bear the financial expenses associated with treat-
ment and care. Families may experience an array of stress ranging from the objective burden (e.g.
healthcare costs) to the subjective burden (e.g. fear, anxiety, mental and physical stress and fatigue).
The burden faced by families of persons with mental illness is higher than that bourne by families
of persons with physical illness, and it affects family leisure, family routines and interactions, as well
as mental health of other family members (e.g. Gautam & Nijhawan, 1984). In addition to the econ-
omic costs, symptoms and treatment, the patients and their family suffer from emotional strain due
to discrimination, social isolation, stigma, disability, poverty, poor quality of life and failure in many
aspects of life (Yerramilli & Bipeta, 2012). Such families make a number of adjustments and com-
promises, which prevents them from leading a satisfactory life or achieving their full potential (Gal-
lagher & Mechanic, 1996). They experience significant stresses and various psychological strains
while providing care to their ill relatives (Senthil, 2017).
The demands of being involved in the care of persons with serious mental illness have a tremen-
dous impact on the caregivers health as well (Math et al., 2007). Families perceive patients care as a
full-time job. They describe their burden as being very sad, drained and lonely (Marsh et al., 1996).
Quite often, jobs are lost or given up, and in any given quarter of the year family members of affected
individuals miss about 1020 working days taking care of persons with mental illness (Gururaj et al.,
2016). Caregivers may also experience anger towards the patient or other family members for lack of
support, involvement or even ignorance of the patient. They may often experience, what Lefley (as
cited in Pratt, Gill, Barrett, & Roberts, 2013, p. 412) called the Dilema of Functional Expectancy,
which refers to frustration when persons with mental illness do not meet normal role expectations.
4. Barriers to mental health in India
While the burden of mental illness is in catastrophic proportions, the resources available to tackle it
are insufficient. The treatment gap, as measured by the absolute difference between the true preva-
lence of a disorder and the treated proportion of individuals affected by the disorder, is very high
(Thirunavukarasu, 2011). Nearly two-thirds of persons with known mental disorders never seek
4SAHITHYA B. R. AND R. P. REDDY
help from health professionals, and are at risk for harmful practices such as visiting faith healers and
delaying treatment until the condition deteriorates (Luthra, 2017). A survey of an urban community
in southern India found that one-third of people with schizophrenia had never accessed any treat-
ment resources despite the availability of treatment (Padmavathi, Rajkumar, & Srinivasan, 1998).
Even after they were offered treatment in a follow-up study, one-third of them remained untreated
(Srinivasan, Rajkumar, & Padmavathi, 2001). They found that unemployed status of male patients,
living in a joint family setting and families initially unaware of the psychiatric nature of the problem
were the leading factors that related to failure to seek treatment. The latest national mental health
survey (Gururaj et al., 2016) also reported that nearly 80% of persons suffering from mental dis-
orders had not received any treatment despite the presence of illness for more than 12 months.
Another large epidemiological survey also reported that there was a huge treatment gap of 90%,
and only 5 out of 100 individuals with common mental disorders had received any treatment
over the past year (Sagar et al., 2017).
One of the major reasons attributed to such a wide treatment gap is the problem of inadequate
resources and non-availability of mental health services. Funding allocation to mental health services
continues to be inadequate in India. Although the federal budget allocates 4.6% of the gross domestic
product to health, which works out to per capita sum of US$0.22, mental health receives only 0.06%
of the general health budget (Rathod et al., 2017). In addition, existing mental health services are
lacking in India. There is an alarming deficit of 77% for psychiatrists, 97% for clinical psychologists
and 90% for psychiatric social workers (PSWs) (Agarwal, Salhan, Shrivastava, & Goel, 2004). It is
estimated that in India, there is only one psychiatrist for every 10 lakh (1 million) of population,
and this proportion is less in rural settings. The median number of psychiatrists in India is only
0.2 per 100,000 population compared to a global median of 1.2 per 100,000 population. Similarly,
the figures for psychologists, PSWs and nurses working for mental health are 0.03, 0.03 and 0.05
per 100,000 population compared to a global median of 0.60, 0.40 and 2.00 per 100,000 population,
respectively (WHO, 2005). As against an estimated requirement of 11,500 psychiatrists, 17,250 clini-
cal psychologists, 23,000 PSWs and 3000 psychiatric nurses, only approximately 3000 psychiatrists,
500 clinical psychologists, 400 PSWs and 900 psychiatric nurses are available (Goel, Agarwal, Ichh-
pujani, & Shrivastava, 2003).
There is a shortage of training centres as well, which are unable to keep up with the demand for
mental health professionals. The existing training infrastructure in the country produces approxi-
mately 320 psychiatrists, 50 clinical psychologists, 25 PSWs and 185 psychiatric nurses per year
(Sinha & Kaur, 2011). In addition, the undergraduate medical curriculum assigns only 1.4% of lec-
ture time and 3.84.1% of internship time to psychiatry (Thirunavukarasu & Thirunavukarasu,
2010). Hence, the general practitioners and the non-psychiatrist specialists do not have the necessary
training and are unprepared to competently deal with mental health problems in their practice.
To add to the conundrum, the state of the mental hospitals is also not satisfactory. The existing
facilities in the country fall short of the required norms, with number of psychiatric beds to be about
0.2 per 1,00,000 population (Mohandas, 2009). In addition, the majority of large psychiatric facilities
are run by the government sector and are centred in a few urban areas. The psychiatric services are
not yet integrated into the primary healthcare system, which has led to a scarcity of such facilities for
a large proportion of people with mental illness. Hence, a significant population in India is in dire
need of psychiatric services as they are living in rural places and cannot access mental healthcare
easily, or they cannot afford such care. Moreover, there is very little emphasis on rehabilitation in
psychiatry, and shortage of manpower, increased workload and lack of rehabilitation skills have
resulted in inadequate rehabilitation facilities (Chavan & Das, 2015).
Adding to the woes is the lack of structured administration to dispense available services effec-
tively. Regardless of various government initiatives to address the problem associated with mental
illness, the number of persons getting these benefits is very low because of many barriers such as
stigmatization and discrimination (Chandrashekar, Kumar, Prashanth, & Kasthuri, 2010). Mental
health programmes and activities in India are fragmented, disorganized and have a low priority
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH 5
during implementation as they suffer from administrative, technical and resource constraints and,
thus, result in limited reach (Gururaj et al., 2016). A huge proportion of people do not seek help
because of lack of knowledge about symptoms of mental illness, myths and stigma related to it,
and lack of awareness of available treatment and its potential benefits (Sinha & Kaur, 2011).
Other major barriers in seeking help include low literacy, religious beliefs and discrimination associ-
ated with mental illness (Kumar, 2011). Despite there being an availability of welfare measures such
as pensions, legal aid and travel concessions for people with disabilities through the Persons with
Disabilities Act (PWD Act, 1995), the effective coverage of such welfare measures, however, still
remains uncertain.
5. Initiatives to tackle the burden of mental illness in India
The problem posed by mental illness has not been ignored, and active steps have been taken by the
government of India to bridge the treatment gap. In recent years, mental health has been receiving
significant attention by the policy makers, and attempts are being made to improve services and
increase manpower through various schemes and budget revisions. This was first attempted through
the launch of the National Mental Health Program (NMHP) (Director General of Health Services,
1982). The main objectives of the NMHP were to ensure the availability and accessibility of mini-
mum mental healthcare for all, to encourage the application of mental health knowledge in general
healthcare and social development, and to promote community participation in mental health ser-
vice. There have been several revisions to the NMHP over the last few decades since its conceptual-
ization. Keeping up with the global trend of community care of mental illness, the NMHP was
decentralized through the District Mental Health Program (DMHP). By the end of 11th plan
(20072012) the DMHP had expanded and was implemented in 200 districts all over India. It intro-
duced various schemes to establish a number of centres of excellence in the field of mental health by
upgrading/strengthening existing mental hospitals/institutes, and made provisions to increase
human resources. There has been a substantial increase in the budget allocation for DMHP, from
Rs. 280 million in the ninth 5-year plan to Rs. 1390 million in the tenth 5-year plan period. However,
it constituted to only 2% of public health expenditure (Sinha & Kaur, 2011).
Currently, we are into the twelfth 5-year plan (NMHP, 2012), and a budget of Rs. 10,000 million
has been allocated. There are dedicated manpower development schemes in addition to continuing
with the community care approach adopted under the DMHP. Under the scheme, 11 centres of
excellence in mental health, 120 post-graduate departments in mental health specialties, the upgrad-
ing of psychiatric wings of medical colleges and modernization of state-run mental hospitals will be
supported. These schemes are aimed at increasing post graduate training capacity in the mental
health specialties of psychiatry, clinical psychology, PSW and psychiatric nursing. Manpower Devel-
opment schemes are expected to deliver 104 psychiatrists, 416 clinical psychologists, 416 PSWs and
820 psychiatric nurses every year once these institutions and departments are established.
A significant policy change in recent years involved training in undergraduate medical pro-
grammes to sensitize medical students to mental health problems. Until 2008, psychiatry was not
mandatory for the successful completion of house internship. In 2008 the Medical Council of
India (1997) made it mandatory for interns to rotate exclusively through psychiatry for two
weeks. In 2011 teaching hours in psychiatry increased from 20 to 40 hours, and the clinical posting
was increased from 2 to 4 weeks. Another major development in the area of mental health was the
introduction of the Mental Health Care Bill (2013). The bill states clearly the rights of persons with
mental illness to access good quality mental healthcare and treatment, protection from inhuman and
degrading treatment, free legal services, access to medical records and the right to complain; de-
criminalization of suicide; and the abolition of direct electroconvulsive therapies. The bill also man-
dated that the insurance companies should endeavour to make provisions for medical insurance for
treatment of mental illness on the same basis as is available for the treatment of physical illness.
6SAHITHYA B. R. AND R. P. REDDY
Additionally, for the first time, the Government of India took steps to include mental health in the
public health programme the National Mental Health Policy (2014), with the vision of promoting
mental health, preventing mental illnesses, enabling recovery and the socioeconomic inclusion of
persons affected by mental illness, by providing accessible, affordable and quality health and social
care to all persons in their lifespan. It was formulated based on the resolution made at the 65th World
Health Assembly (2012), which emphasized the need for a comprehensive, coordinated global
response, considering the ramifications of the burden of mental disorders. The aim was to reduce
the stress, disability, morbidity and premature mortality associated with mental health problems.
The Rights of Persons with Disabilitiesbill (Ministry of Social Justice and Empowerment, 2014)
was also passed, which made provision for a 5% reservation of posts in all government establish-
ments for persons with disability, out of which 1% will be reserved for those with autism, intellectual
disability and mental illness combined.
6. Future directions and conclusion
The challenge that India faces in trying to meet population needs for quality mental healthcare are
huge and require urgent and impactful interventions. Recent developments display the seriousness
with which our lawmakers view the mental health challenge. Future prospects for mental health look
bright in India as the government is becoming increasingly aware and concerned about mental
health problems. Issues like stigma, non-governmental organization participation, research, train-
ing and preventitive and promotive mental health services are being taken up in earnest. Not only
has there been an increase in expenditure towards mental healthcare, there has been a growing pol-
itical commitment to mental health, which can be seen through various revisions of the mental
health programme, the introduction of a national mental health policy and the mental healthcare
bill. However, despite such aggressive strategies, mental health status in India is far from satisfactory.
There has been both appreciation and criticism of Indias mental health initiatives. Where policies
are concerned, India is on a par with its Western counterparts; however, it lags behind in implemen-
tation. Despite progressive thinking and aims, the funding continues to be in deficit and progress has
been slow. Thus, the huge burden of mental disorders calls for the attention of politicians, policy
makers, mental health professionals and society at large to improve the availability, accessibility
and quality of mental healthcare, with an emphasis on prevention and promotion. Usually several
factors interact where mental health is concerned, hence reforms at various levels of healthcare sys-
tem are required, and these involve reforming policy and legislation, addressing barriers to financing,
affordability and service delivery, as well as addressing human resource barriers and filling gaps in
data and research (Mnookin, 2016).
The effective care of individuals with mental illness requires a comprehensive mental health sys-
tem involving governance, healthcare institutions and community settings. This involves building a
multi-sectorial consensus backed by a strong political will to enact holistic mental health plans. All
policies and programmes in health, and all related sectors of welfare, education, employment and
other programmes, should include and integrate a mental health agenda in their policies, plans
and programmes. Establishing a number of centres in rural areas and increasing the number of men-
tal health professionals in general hospitals can address the accessibility and availability of mental
health services. The emphasis should also be on the modernization and upgrading of government
run mental hospitals, as well as on training in mental health for improving service delivery.
The integration of mental healthcare into the primary healthcare system can increase easy acces-
sibility and early intervention. Most hospitals do not screen for mental illness unless specifically
asked by the patient or family members. However, routine screening for mental disorders can
lead to early detection and intervention, which can lead to a better prognosis. In addition, interven-
tions should not be seen as being isolated from one another; rather, they should be incorporated into
different delivery platforms, such as primary care and community health. Although insurance pol-
icies have recently begun to cover mental healthcare, there are several challenges that are likely to
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH 7
hinder universal coverage of mental healthcare, and this needs to be addressed immediately to make
treatments more affordable.
There is also an urgent need to establish a well supported rehabilitation centre that aims at main-
streaming people recovering from mental illness. Mental disorders are interconnected with poverty,
unemployment, stigma and other social stressors, and there is a need for social workers who can help
the recovering individual integrate with society by addressing the needs of employment, skills train-
ing and accommodation. This requires establishing centres such as vocational training centres, day-
care centres, hostels, half-way homes and support groups, at both the district and state levels.
Use of available human resources can meet the current shortage of mental health professionals.
Available professionals such as nurses, teachers, anganwadi (rural mother and child care centre)
workers and so on are underutilized where mental health is concerned. Mental health in work places
and educational institutions can aim at health promotion, early detection and awareness. Pro-
grammes such as school-based interventions, workplace interventions and interventions related to
conflicts and natural disasters have been successfully utilized in Western countries, and the same
approach can be utilized in India to enhance mental wellbeing.
Advocacy for mental health by actively engaging communities through various programmes,
media and social media is critical to promoting awareness and acceptance. Educating people
about nature of mental illness may prevent stigma, shame and secrecy, and put an end to
magico-religious treatments. Anti-stigma campaigns can be used as powerful tools to fight social iso-
lation and discrimination in areas such as employment, education and housing.
There is also a need to promote research in the area of mental health. While research is rigorous in
areas of psychopathology and treatment, there is a dearth of studies that focus on issues related to
burden, disability and economic cost in India. It is well known that those individuals who receive
treatment are better able to study or work productively, and that even though mental disorders gen-
erate a large economic and social cost, treating or preventing them can also generate substantial
health and economic gains (Mnookin, 2016). However, there are not many long-term epidemiolo-
gical studies that answer questions related to the costs and benefits of investing in mental health.
Such research can help convince policy makers that investing in mental health is good investment,
and their funding to address mental health issues will provide a good return in terms of improved
health and restored productivity.
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes on contributors
Sahithya B. R. is a Clinical Psychologist, with an M.Phil (Clinical Psychology Degree), currently pursuing full-time
PhD in the department of psychiatry in St. Johns Medical College, Bangalore India.
R. P. Reddy is a Clinical Psychologist, (MPhil, PhD, PDF), currently working as assistant professor in the department
of clinical psychology in NIMHANS, Bangalore, India.
ORCID
Sahithya B. R. http://orcid.org/0000-0002-9234-1552
References
Agarwal, S. P., Salhan, R. N., Shrivastava, S., & Goel, D. S. (2004). National survey of mental health resources. In S. P.
Agarwal, D. S. Goel, R. L. Ichhpujani, R. N. Salhan, & S. Shrivastava (Eds.), Mental health: An Indian perspective,
19462003 (pp. 113118). New Delhi: Directorate General of Health Services, Ministry of Health and Family
Welfare/Elsevier.
8SAHITHYA B. R. AND R. P. REDDY
Bloom, D. E., Cafiero-Fonseca, E. T., Candeias, V., Adashi, E., Bloom, L., Gurfein, L., & Saxena, A. (2014).
Economics of non-communicable diseases in India: The costs and returns on investment of interventions to promote
healthy living and prevent, treat, and manage NCDs. Geneva: World Economic Forum. Retrieved from http://www3.
weforum.org/docs/WEF_EconomicNonCommunicableDiseasesIndia_Report_2014.pdf
Bloom, D., Cafiero, E., Jané-Llopis, E., Abrahams-Gessel, S., Bloom, L., Fathima, S., &OFarrell, D. (2011). The
global economic burden of noncommunicable diseases. Geneva: World Economic Forum. Retrieved from https://
cdn1.sph.harvard.edu/wp-content/uploads/sites/1288/2013/10/PGDA_WP_87.pdf
Chandrashekar, H., Kumar, C. N., Prashanth, N. R., & Kasthuri, P. (2010). Disabilities research in India. Indian Journal
of Psychiatry,52(Suppl. 1), S281S285. doi:10.4103/0019-5545.69252
Chavan, B. S., & Das, S. (2015). Is psychiatry intervention in Indian setting complete? Indian Journal of Psychiatry,57
(4), 345347. doi:10.4103/0019-5545.171859
Dewa, C. S., & McDaid, D. (2011). Investing in the mental health of the labor force: Epidemiological and economic
impact of mental health disabilities in the workplace. In Work accommodation and retention in mental health
(pp. 3351). New York: Springer.
Director General of Health Services. (1982). National mental health programme for India. New Delhi: Government of
India, Ministry of Health and Family Welfare. Retrieved from http://dghs.gov.in/content/1350_3_
NationalMentalHealthProgramme.aspx
Funk, M. (2012). Global burden of mental disorders and the need for a comprehensive, coordinated response from health
and social sectors at the country level. A report by the Secretariat at the Sixty-Fifth World Health Assembly. Geneva:
World Health Organization. Retrieved from http://apps.who.int/iris/bitstream/10665/78898/1/A65_10-en.pdf
Gallagher, S. K., & Mechanic, D. (1996). Living with the mentally ill: Effects on the health and functioning of other
household members. Social Science & Medicine,42(12), 16911701. doi:10.1016/0277-9536(95)00296-0
Ganguli, H. C. (2000). Epidemiological findings on prevalence of mental disorders in India. Indian Journal of
Psychiatry,42(1), 1420. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956997/
Gautam, S., & Nijhawan, M. (1984). Burden on families of schizophernic and chronic lung disease patients. Indian
Journal of Psychiatry,26(2), 156159. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012222/
pdf/IJPsy-26-156.pdf
Goel, D. S., Agarwal, S. P., Ichhpujani, R. L., & Shrivastava, S. (2003). Mental health 2003: The Indian scene. In S. P.
Agarwal, D. S. Goel, R. L. Ichhpujani, R. N. Salhan, & S. Shrivastava (Eds.), Mental health: An Indian perspective,
19462003 (pp. 324). New Delhi: Directorate General of Health Services, Ministry of Health and Family Welfare.
Gururaj, G., Varghese, M., Benegal, V., Rao, G. N., Pathak, K., Singh, L. K., Misra, R. (2016). National mental health
survey of India, 2015-16: Summary. Bengaluru: National Institute of Mental Health and Neuro Sciences. NIMHANS
Publication (128).
Kessler, R. C., Aguilar-Gaxiola, S., Alonso, J., Chatterji, S., Lee, S., Ormel, J., Wang, P. S. (2009). The global burden of
mental disorders: An update from the WHO World Mental Health (WMH) surveys. Epidemiology and Psychiatric
Sciences,18(1), 2333. doi:10.1017/S1121189X00001421
Kumar, A. (2011). Mental health services in rural India: Challenges and prospects. Health,3(12), 757761.
Lund, C., Breen, A., Flisher, A. J., Kakuma, R., Corrigall, J., Joska, J. A., Patel, V. (2010). Poverty and common men-
tal disorders in low and middle income countries: A systematic review. Social Science & Medicine,71(3), 517528.
doi:10.1016/j.socscimed.2010.04.027
Luthra, M. (2017). Depression: Current scenario with reference to India. Indian Journal of Community Health,29(1),
14. Retrieved from http://www.iapsmupuk.org/journal/index.php/IJCH/article/view/1675
Marsh, D. T., Lefley, H. P., Evans-Rhodes, D., Ansell, V. I., Doerzbacher, B. M., LaBarbera, L., & Paluzzi, J. E. (1996).
The family experience of mental illness: Evidence for resilience. Psychiatric Rehabilitation Journal,20(2), 312.
doi:10.1037/h0095390
Marwaha, S., & Johnson, S. (2004). Schizophrenia and employment. Social Psychiatry and Psychiatric Epidemiology,39
(5), 337349. doi:10.1007/s00127-004-0762-4
Math, S. B., Chandrashekar, C. R., & Bhugra, D. (2007). Psychiatric epidemiology in India. Indian Journal of Medical
Research,126(3), 183192. Retrived from https://search.proquest.com/docview/195974795?pq-origsite=gscholar
Math, S. B., & Srinivasaraju, R. (2010). Indian psychiatric epidemiological studies: Learning from the past. Indian
Journal of Psychiatry,52(Suppl. 1), S95S103. doi:10.4103/0019-5545.69220
Medical Council of India. (1997). Regulations nn graduate medical education (Amended upto July 2017). New Delhi:
Medical Council of India. Retrieved from https://www.mciindia.org/documents/rulesAndRegulations/GME_
REGULATIONS.pdf
Ministry of Social Justice and Empowerment (2014). The right of persons with disabilities bill. New Delhi: Government
of India. Retrieved from http://www.prsindia.org/billtrack/the-right-of-persons-with-disabilities-bill-2014-3122/
Mnookin, S. (2016). Out of the shadows: Making mental health a global development priority report. Geneva: World
Bank Group and World Health Organization. Retrieved from http://www.who.int/mental_health/advocacy/wb_
background_paper.pdf
Mohandas, E. (2009). Roadmap to Indian psychiatry. Indian Journal of Psychiatry,51(3), 173179. doi:10.4103/0019-
5545.55083
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH 9
National Mental Health Policy of India. (2014). New pathways new hope. New Delhi: Ministry of Health & Family
Welfare, Government of India. Retrieved from https://www.nhp.gov.in/sites/default/files/pdf/national%20mental
%20health%20policy%20of%20india%202014.pdf
National Mental Health Programme. (2012). XIIth plan district mental health programme. New Delhi: Ministry of
Health and Family Welfare, Government of India. Retrieved from http://www.nhm.gov.in/nrhm-components/
national-disease-control-programmes-ndcps/2015-09-24-07-02-57/guidelines.html
Padmavathi, R., Rajkumar, S., & Srinivasan, T. N. (1998). Schizophrenic patients who were never treateda study in an
Indian urban community. Psychological Medicine,28(5), 11131117. Retrieved from https://www.ncbi.nlm.nih.gov/
pubmed/9794018
Patel, V., Chatterji, S., Chisholm, D., Ebrahim, S., Gopalakrishna, G., Mathers, C., Reddy, K. S. (2011). Chronic dis-
eases and injuries in India. The Lancet,377(9763), 413428. doi:10.1016/S0140-6736(10)61188-9
Patel, V., Ramasundarahettige, C., Vijayakumar, L., Thakur, J. S., Gajalakshmi, V., Gururaj, G., Million Death Study
Collaborators. (2012). Suicide mortality in India: A nationally representative survey. The Lancet,379(9834), 2343
2351. doi:10.1016/S0140-6736(12)60606-0
Planning Commission. (2014). Report of the expert group to review the methodology for measurement of poverty. New
Delhi: Government of India. Retrieved from http://planningcommission.nic.in/reports/genrep/pov_rep0707.pdf
Pompili, M., Harnic, D., Gonda, X., Forte, A., Dominici, G., Innamorati, M., Girardi, P. (2014). Impact of living with
bipolar patients: Making sense of caregiversburden. World Journal of Psychiatry,4(1), 112. doi:10.5498/wjp.v4.i1.1
Pratt, C. W., Gill, K. J., Barrett, N. M., & Roberts, M. M. (2013). Psychiatric rehabilitation (3rd ed.). San Diego, CA:
Elsevier Inc.
PWD Act. (1995). The persons with disabilities (Equal Opportunities, Protection of Rights and Full Participation) act,
1995, published in Part II, Section 1 of the extraordinary gazette of India. Ministry of law, justice and company
affairs (Legislative Department). Ministry of law, justice and company affairs (Legislative Department). Retrieved
from http://newsonair.nic.in/PWD_Act.pdf
Ramasubramanian, C., Mohandoss, A. A., & Namasivayam, R. K. (2016). Employability of mentally ill persons in
India: A self-report-based population study. Industrial Psychiatry Journal,25(2), 171178. doi:10.4103/ipj.ipj_
72_16
Rathod, S., Pinninti, N., Irfan, M., Gorczynski, P., Rathod, P., Gega, L., & Naeem, F. (2017). Mental health service pro-
vision in low- and middle-income countries. Health Services Insights,10,17. doi:10.1177/1178632917694350
Reddy, V. M., & Chandrashekar, C. R. (1998). Prevalence of mental and behavioural disorders in India: A meta-analy-
sis. Indian Journal of Psychiatry,40(2), 149157. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/
PMC2965838/
Registrar General of India. (2011). Census of India 2011: Provisional population totals-India data sheet. Office of the
Registrar General Census Commissioner, India. Indian Census Bureau. Retrieved from http://www.censusindia.
gov.in
Sagar, R., Pattanayak, R. D., Chandrasekaran, R., Chaudhury, P. K., Deswal, B. S., Singh, R. L., Trivedi, J. K.
(2017). Twelve-month prevalence and treatment gap for common mental disorders: Findings from a large-
scale epidemiological survey in India. Indian Journal of Psychiatry,59(1), 4655. doi:10.4103/psychiatry.
IndianJPsychiatry_333_16
Senthil, M. (2017). Psychosocial impacts on families of patients with mental illness: A systematic literature review. The
International Journal of Indian Psychology,4(3), 169181. Retrieved from http://www.ijip.in/Archive/v4i3/18.01.
079.20170403.pdf
Sinha, S. K., & Kaur, J. (2011). National mental health programme: Manpower development scheme of eleventh five-
year plan. Indian Journal of Psychiatry,53(3), 261265. doi:10.4103/0019-5545.86821
Srinivasan, T. N., Rajkumar, S., & Padmavathi, R. (2001). Initiating care for untreated schizophrenia patients and
results of one year follow-up. International Journal of Social Psychiatry,47(2), 7380. Retrieved from http://isp.
sagepub.com/content/47/2/73.abstract
Swain, S. P., & Behura, S. S. (2016). A comparative study of quality of life and disability among schizophrenia and
obsessive-compulsive disorder patients in remission. Industrial Psychiatry Journal,25(2), 210215. doi:10.4103/
ipj.ipj_94_15
The Constitution of India. (2007). Constitution of India as modified up to the 1st December, 2007. New Delhi: Ministry
of Law and Justice, Government of India. Retrieved from http://lawmin.nic.in/coi/coiason29july08.pdf
The Mental Health Care Bill. (2013). As introduced in the Rajya Sabha, Bill No. LIV of 2013. New Delhi: Minister of
Health and Family Welfare, Government of India. Retrieved from http://www.prsindia.org/administrator/uploads/
general/1376983253~~mental%20health%20care%20bill%202013.pdf
Thirunavukarasu, M. (2011). Closing the treatment gap. Indian Journal of Psychiatry,53(3), 199201. doi:10.4103/
0019-5545.86803
Thirunavukarasu, M., & Thirunavukarasu, P. (2010). Training and national deficit of psychiatrists in IndiaA critical
analysis. Indian Journal of Psychiatry,52(Suppl1), S83S88. doi:10.4103/0019-5545.69218
10 SAHITHYA B. R. AND R. P. REDDY
Trani, J. F., Bakhshi, P., Kuhlberg, J., Narayanan, S. S., Venkataraman, H., Mishra, N. N., Deshpande, S. (2015).
Mental illness, poverty and stigma in India: A casecontrol study. BMJ Open,5(2), e006355 (112). doi:10.1136/
bmjopen-2014-006355
United Nations. (2017). World population prospects: The 2017 revision, key findings and advance tables. Working Paper
No. ESA/P/WP/248. United Nations, Department of Economic and Social Affairs, Population Division. Retrieved
from https://www.un.org/development/desa/publications/world-population-prospects-the-2017-revision.html
Vigo, D., Thornicroft, G., & Atun, R. (2016). Estimating the true global burden of mental illness. The Lancet Psychiatry,
3(2), 171178. doi:10.1016/S2215-0366(15)00505-2
World Health Assembly. (2012). 65th world health assembly closes with new global health measures. Geneva: World
Health Organization. Retrieved from http://www.who.int/mediacentre/news/releases/2012/wha65_closes_
20120526/en/
World Health Organization. (1980). International classification of impairments, disabilities, and handicaps: A manual
of classification relating to the consequences of disease, published in accordance with resolution WHA29. 35 of the
Twenty-ninth World Health Assembly, May 1976. Retrieved from http://apps.who.int/iris/bitstream/10665/41003/
1/9241541261_eng.pdf
World Health Organization. (2001). The world health report 2001: Mental health: New understanding, new hope.
Geneva: World Health Organization. Retrieved from http://www.who.int/whr/2001/en/whr01_en.pdf?ua=1
World Health Organization. (2002). The world health report 2002: Reducing risks, promoting healthy life. Geneva:
World Health Organization. Retrieved from http://www.who.int/whr/2002/en/whr02_en.pdf?ua=1
World Health Organization. (2003). Investing in mental health. Geneva: Department of Mental Health and Substance
Dependence, Noncommunicable Diseases and Mental Health, World Health Organization. Retrieved from http://
apps.who.int/iris/bitstream/10665/42823/1/9241562579.pdf
World Health Organization. (2005). Mental health atlas 2005. Geneva: World Health Organization, Department of
Mental Health & Substance Abuse. Retrieved from http://www.who.int/mental_health/evidence/atlas/global_
results.pdf
World Health Organization. (2011). World report on disability: World Health Organization. Retrieved from http://
www.who.int/disabilities/world_report/2011/report.pdf
World health Organization. (2015). Global health estimates: Disease burden by cause, age, sex, by country and by region,
20002015. Geneva: World Health Organization. 2016. Retrieved from http://www.who.int/healthinfo/global_
burden_disease/estimates/en/index2.html
Yerramilli, S. S., & Bipeta, R. (2012). Economics of mental health: Part I-economic consequences of neglecting mental
health-an Indian perspective. Andhra Pradesh Journal of Psychological Medicine,13(2), 8086. Retrieved from
http://medind.nic.in/aag/t12/i2/aagt12i2p80.pdf
INTERNATIONAL JOURNAL OF CULTURE AND MENTAL HEALTH 11
... There is evidence that low-income spaces are characterized by rampant poverty, poor infrastructure, community violence, and limited career opportunities that further exacerbate the vulnerability to developing mental health issues [8]. In India (the site of the present research), the severity of the mental health burden is alarming and calls for an urgent need for action [9]. According to a report up to 2017, one in every seven people in India is affected by mental illness, ranging from mild to severe symptoms [10]. ...
Preprint
Full-text available
Studies at the juncture of development economics and public health host considerable responsibility in addressing inequality and related mental health distress. Mental health care in economically marginalized populations requires depicting the linkages between socioeconomic status and psychological distress. In the present work, a sequential mixed-methods design was used to study 190 people in such communities in India. Gender-dependent psychological distress was found according to Kessler Psychological Distress Scale (K-10) with moderate distress in women (M= 26.30, SD= 9.15) and mild distress in men (M= 21.04, SD= 8.35). Regression analysis indicated that gender significantly predicted psychological distress, followed by age, marital status, and education of the head of the family. The Interpretative Phenomenological Analysis of semi-structured interviews to six women who scored the highest on the distress scale unveiled three master themes: (1) Manifestation of Psychological Distress, (2) Contextual Challenges, and (3) Sources of Strength and Resilience. Overall, participants reported lack of resources, community violence, gender discrimination, and widespread substance use as major contributors to the ongoing distress. These findings can pave the way for future studies to expand beyond independent economic indicators and curate clinical interventions for culturally competent mental health care.
... Although the number is high, there exists a massive treatment gap wherein two-thirds of the patients do not receive help. There is no screening done for mental illness in hospital settings unless asked for by the family members [10]. ...
Article
Full-text available
Background Mental illness is one of the leading causes of disability worldwide. General health facilities are the first point of contact for patients with mental illness. Physicians seldom detect mental health issues, and referrals to mental health professionals are made infrequently. Therefore, health-care professionals need to be educated to have adequate knowledge and positive attitude for detection and timely intervention for the mentally ill. In this study, we intended to concentrate on the attitude of nonpsychiatric health-care professionals toward mental illness. Methods This study is a cross-sectional study. We studied 260 nurses, interns, and postgraduates at a medical college in Bangalore, Karnataka, with copies of a semi-structured socioeconomical questionnaire and Mental Illness: Clinicians' Attitude Scale-Version 4. Results We found that younger age group ( p < 0.001), history of previous psychiatric consultations with themselves ( p < 0.001) or with families/friends ( p < 0.05), and postgraduates ( p < 0.05) had a significantly more positive attitude toward mental illness, but that the group with older age group ( p < 0.001), and nursing staff ( p < 0.001), had a significantly more negative attitude toward mental illness. Conclusion Adequate training and knowledge about mental illness are needed for health-care providers, to enable them for early detection, decreased morbidity, and reduced stigma of the mentally ill.
... 15 Even though work or employment for the mentally ill is considered to be therapeutic and deemed essential for such a person's sustenance and well-being. As India lacks national-wide profiling of the prevalence of its mentally ill patients, 16,17 The exact prevalence and employability status of such persons rely largely on local, regional or institutionbased studies. The 2011 Census of India recorded the self-reported disabilities among which mental illness and retardation found a place as distinct entities. ...
Article
Background Mental health issues in children and adolescents are quite significant. Despite their impact, research on psychiatric disorders in these age groups is limited. This study aims to evaluate the prescription patterns of psychiatric medications and the prevalence of psychiatric disorders among children and adolescent age group patients. Purpose This study aims to evaluate the prescription pattern of psychiatric medications and the pattern of psychiatric illnesses among child and adolescent age group patients at a tertiary care hospital in India. Methods This hospital-based observational study was conducted over 1.5 years at the Government Hospital for Mental Care in Visakhapatnam, India. A total of 150 patients aged 2–18 years, diagnosed with psychiatric disorders and prescribed at least one psychiatric drug, were included. Data on patient demographics, diagnoses, and prescription details were collected and analyzed using SPSS version 2022, following WHO drug use indicators. Cost analysis compared drug costs within the hospital pharmacy and external pharmacies. Results The study population comprised 56% children (2–10 years) and 44% adolescents (11–18 years), with a male predominance in both groups. The average number of medications per prescription was 2–4, with 94% prescribed by generic names and no use of fixed drug combinations or injectable drugs. Mental retardation was the most common disorder, followed by attention deficit hyperactive disorder (ADHD) in children and oppositional defiant disorder (ODD), bipolar disorder, and schizophrenia in adolescents. Risperidone, trihexyphenidyl, carbamazepine, and valproate were the most commonly prescribed medications. Most drugs were available at the hospital pharmacy, minimizing the financial burden on patients. Cost analysis showed significant variations in drug prices outside the hospital. Conclusion The study highlights the rational prescription trends among child and adolescent psychiatric patients. There was preference for atypical antipsychotics and newer drug classes over conventional medications. Polypharmacy was up to the mark. The findings emphasize the need for periodic prescription monitoring to ensure safe, effective, and cost-efficient treatment.
Article
Full-text available
Studies at the juncture of development economics and public health take on considerable responsibility in addressing inequality and related mental health distress. Mental healthcare in economically marginalized populations requires depicting the linkages between socioeconomic status and psychological distress. In the present work, a sequential mixed-methods design was used to study 190 people in such communities in India. Gender-dependent psychological distress was found according to the Kessler Psychological Distress Scale (K-10) with moderate distress in women (M = 26.30, SD = 9.15) and mild distress in men (M = 21.04, SD = 8.35). Regression analysis indicated that gender significantly predicted psychological distress, followed by age, marital status, and the level of education of the head of the family. The Interpretative Phenomenological Analysis of semi-structured interviews of the six women who scored the highest on the distress scale unveiled three master themes: (1) manifestation of psychological distress, (2) contextual challenges, and (3) sources of strength and resilience. Overall, participants reported a lack of resources, community violence, gender discrimination, and widespread substance use as major contributors to the ongoing distress. These findings can pave the way for future studies to expand beyond independent economic indicators and curate clinical interventions for culturally competent mental healthcare.
Article
People with bipolar disorder )PWBD) impose a lot of burden on their caregivers, which can have unpleasant consequences for caregivers. The aim of this study was to follow up the one-year burden of caregivers of PWBD after psychotherapy of these patients. This cross-sectional study was performed as a continuation of a clinical trial in caregivers of PWBD. In the trial study, 30 male PWBD participated in two groups of intervention (n = 15) and control (n = 15) randomly from Isfahan Psychiatric Hospital. The intervention group underwent Supportive-Expressive Dynamic Psychotherapy and followed by three and six months. At the beginning of the trial, after its completion and one year later, the burden of bipolar caregivers was compared between the intervention and control groups (caregivers did not receive any intervention). Data collection was performed using Zarit Caregiver Burden Interview (1980). Data analysis was performed in SPSS-24 statistical software using repeated measures ANOVA test. The results of intergroup differences showed that between the caregivers of the intervention and control groups in the subscales of individual burnout (F=6.368; P=0.008), emotional (F=7.115; P=0.014), and score Total (F=7.420; P=0.012) there is a significant difference and 27%, 24% and 25% of the changes are due to group membership, respectively; But no significant difference was observed in the subscales of social and economic burnout (p <0.05). Overall, it can be concluded that psychotherapy of PWBD can play an effective role in reducing the burden of their caregivers in the long term, but requires comprehensive and ongoing interventions.
Article
Full-text available
Background The concept of stigma has been widely used to understand patterns of discrimination and negative ideas surrounding people with mental health problems, yet we know little of the specific nuances of how this might operate beyond the ‘Global North’. Aim This paper aims to explore the notion of stigma in an Indian context by considering the lived experience of patients, carers and community members. Methods A sample of 204 participants, representing mental health patients, informal carers and community members was recruited from urban and rural areas in Kerala, India. Participants took part in interviews where they were encouraged to talk about their experiences of mental ill health, attitudes towards these problems, barriers encountered and sources of support. Results Experiences akin to the experience of stigma in Europe and the United States were elicited but there were important local dimensions specific to the Indian context. The difficulties faced by people with diagnoses of mental disorders in finding marriage partners was seen as an important problem, leading to marriage proposals being refused in some cases, and secrecy on the part of those with mental health problems. Rather than the ‘self-stigma’ identified in the US, participants were more likely to see this as a collective problem in that it could reflect badly on the family group as a whole rather than just the sufferer. Conclusions In the Indian context, the idioms of stigma emphasised impairments in marriage eligibility and the implications for the family group rather than just the self.
Article
Background Content validity and cognitive interview plays a vital role in tool construction and contributes significantly in determining the psychometric properties of a tool. Aim The study aimed to present the content validation process, using expert judgment and to illustrate the use of a cognitive interviewing method for gathering validity evidence on the response process of psychosocial inventory for caregivers (PIC) of persons with mental illness. Methodology This is a descriptive, psychometric study on content validity through expert judgment which was conducted at the LGB Regional Institute of mental health, Assam, India. Convenience and intentional sampling were used for the selection of the field expert. In this study, the psychosocial inventory for caregivers (PIC) of persons with mental illness was validated by 10 mental health professionals from India. The present study proceeded in three phases. Phase-1, an item pool (150 items) was generated. Phase-2, content validity was calculated based on the content validity index (CVI) and content validity ratio (CVR). Phase-3, cognitive interview (CI) was done. The study was approved by the institute ethics committee (IEC) of LGBRIMH, Tezpur. Results Through content validity procedure, 39 items out of 150 were discarded, whereas, through cognitive interview 27 out of 111 items were deleted. So, altogether 84 items were retained for the final scale 'psychosocial inventory for caregivers (PIC) of persons with mental illness. Universal agreement (UA) was 0.6. Conclusion In present study, content validity was found to be satisfactory. Yet, further studies are needed to evaluate its reliability and validity.
Article
Full-text available
Introduction: Depression is an illness characterized by persistent sadness and a loss of interest in activities that you normally enjoy, accompanied by an inability to carry out daily activities, for at least two weeks. In addition, people with depression normally have several of the following symptoms: Loss of energy, Change in appetite, Sleeping more or less, Anxiety, Reduced concentration, Indecisiveness, Restlessness, Feelings of worthlessness, Guilt or hopelessness, Thoughts of self-harm or suicide, (WHO World Health Day Campaign Essentials)
Article
Full-text available
Introduction The employment status of mentally ill patients is a reflection of their productivity, control of illness besides providing therapeutic benefits and integration into mainstream society. Owing to the associated stigma, self-reporting of mental illness (SRMI) often is rare. Census exercise of India in 2011 provides an insight of SRMI and employment status of such people. This study was undertaken to consider the role of gender, age group, and place on the employment status of SRMI. Methodology Frequency of SRMI, age group, gender, and employment status was gathered from Indian 2011 census sources. Descriptive statistics and logistic regression were employed. P ≤ 0.05 was taken as significant. Results Majority (68.6%) of the SRMI people resides in rural areas, in the economically productive age group of 15–59 years (75.88%) and often males (57.51%). Of the SRMI as reported in the data, 78.62% were not employed while 2.4% of them were currently employed. The employability frequency distributions of SMRIs were statistically different in terms of area, age group, and gender with significance. Discussion Although the mental illness data of 2011 census was rejected by mental health professionals citing discrepancy and underestimating of the prevalence of mental illness, it provides a robust estimate of the employability, self-reporting tendency of mental illness. The association of the factors provides a unique insight into SRMIs in India. Conclusion Understanding the interplay of factors may yield robust estimates and clues for policy framers to formulate employment-related policies for employment opportunities for mentally ill patients.
Article
Full-text available
Background: Common mental disorders, such as mood, anxiety, and substance use disorders, are significant contributors to disability globally, including India. Available research is, however, limited by methodological issues and heterogeneities. Aim: The present paper focuses on the 12-month prevalence and 12-month treatment for anxiety, mood, and substance use disorders in India. Materials and methods: As part of the World Health Organization World Mental Health (WMH) Survey Initiative, in India, the study was conducted at eleven sites. However, the current study focuses on the household sample of 24,371 adults (≥18 years) of eight districts of different states, covering rural and urban areas. Respondents were interviewed face-to-face using the WMH Composite International Diagnostic Interview after translation and country-specific adaptations. Diagnoses were generated as per the International Classification of Diseases, 10th edition, Diagnostic Criteria for Research. Results: Nearly 49.3% of the sample included males. The 12-month prevalence of common mental disorders was 5.52% - anxiety disorders (3.41%), mood disorders (1.44%), and substance use disorders (1.18%). Females had a relatively higher prevalence of anxiety and mood disorders, and lower prevalence of substance use disorders than males. The 12-month treatment for people with common mental disorders was 5.09% (range 1.66%-11.55% for individual disorders). The survey revealed a huge treatment gap of 95%, with only 5 out of 100 individuals with common mental disorders receiving any treatment over the past year. Conclusion: The survey provides valuable data to understand the mental health needs and treatment gaps in the Indian population. Despite the 12-month prevalence study being restricted to selected mental disorders, these estimates are likely to be conservative due to under-reporting or inadequate detection due to cultural factors.
Article
Full-text available
This paper discusses the provision of mental health services in lower- and middle-income countries (LAMIC) with a view to identifying culture-specific areas that can be improved and generalised within and across different countries and services. The paper highlights the need for prioritisation of mental health services by incorporating local population and cultural needs. This can be achieved only through political will and strengthened legislation, improved resource allocation and strategic organisation, integrated packages of care underpinned by professional communication and training, and involvement of patients, informal carers and the wider community in a therapeutic capacity.
Article
Full-text available
Background: Mentally ill prisoners, when requiring admission in a psychiatric facility, have to be admitted only by a reception order of a judicial magistrate and convicts by warrants issued by the Government to jail superintendents and the superintendent of the hospital. Both can be only under Section 27 of The Mental Health Act, 1987. Materials and methods: A study of the contents of reception order and warrants regarding the acts and section under which they were issued over 1 year period for the admission of the patients in the criminal ward of the Institute of Mental Health was carried out. Results: Only three reception orders quoted Section 27 out of 54 patients admitted under a reception order. Nineteen patients were admitted by the jail superintendents. Discussion: Various issues that were found in the reception order and their consequences are discussed, and a possible response to these issues is mooted. Conclusion: Almost none of the reception orders were found to be proper. This deficit needs to be rectified by sensitizing the various authorities.
Article
Background: Family members play a major role in providing care giving assistance to patients with mentally illness and while providing care they may experience considerable amount of distress and may have a poor quality of life, if they are unable to cope with the stress associated with the process of caregiving. The effect of stressors on family members caring for a patient with mentally illness in the family has been referred to as caregiver’s burden. Caregiver burden in mental illness can either be objective or subjective. Numerous studies have demonstrated that family caregivers of persons with a mental illness suffer from significant stresses, experience high levels of burden, and often receive inadequate assistance from mental health professionals. So this study was carried out to review the literature and to describe the psychosocial issues facing by family members of patients with mental illness. Method: An electronic search of articles from Google was conducted for articles published. The purpose of this article was to present a review of the literature related to families of persons with mental illness. There is general agreement in the literature that a multitude of psychosocial variables affect families of persons with mental illness. Therefore, this literature review examined the most frequently investigated variables such as family burden, stigma, stereotypes and prejudices, quality of Life, disability and dysfunction in family life and psychological distress as they are related to families and mental illness. Results: A systematization of information revealed the existence of significant stresses, experience high levels of burden, stigma, poor quality of life and various psychological strains while providing care to their ill relatives. Conclusions: The findings of this study urges the mental health care professionals to actively work with the caregivers of patients with psychiatric illness to decide suitable psychosocial intervention strategies to address their burden associated with mental illness, to improve their quality of life and enhance their coping skills which will in turn provide good quality of care to their mentally ill patients.
Article
Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. PLOS ONE | https://doi.org/10.1371/journal.pone.
Article
Background Persons with long-term psychiatric disorders have greater deficits in living skills as well as greater problems in employment and relationship to their social environment. Thus, chronic psychiatric illnesses have psychosocial consequences such as disability and impaired quality of life (QOL) due to their symptomatology and chronic course. Objectives Assessment and comparison of disability and QOL of patients suffering from schizophrenia and obsessive-compulsive disorder (OCD) in remission phase. Materials and Methods A cross-sectional study carried out in the psychiatry outpatient Department of Mental Health Institute, S.C.B. Medical College and Neuropsychiatric Consultation Centre, Cuttack. The study sample consisted of fifty cases of each groups (schizophrenia and OCD), which included both males and females. All of them were assessed through the World Health Organization-QOL BREF and Indian Disability Evaluation and Assessment Scale. Results Results revealed that schizophrenics have poor QOL and greater disability burden than patients of OCD. Conclusion These psychiatric illnesses, i.e. schizophrenia and OCD, affect all areas of daily functioning leading to greater disability, and thus increasing the burden on the family, imposing greater challenges for the rehabilitation of these patients and their inclusion in the mainstream of the family and society.