BACKGROUND: Bridging the alarming treatment gap for mental disorders in India requires a monumental effort from all stakeholders. Harnessing digital technology is one of the potential ways to leapfrog many known barriers for capacity building. AIM AND CONTEXT: The ongoing Virtual Knowledge Network (VKN)-National Institute of Mental Health and Neurosciences (NIMHANS)-Extension of Community Health Outcomes (ECHO) (VKN-NIMHANS-ECHO: hub and spokes model) model for skilled capacity building is a collaborative effort between NIMHANS and the University of New Mexico Health Sciences Centre, USA. This article aims to summarize the methodology of two randomized controlled trials funded by the Indian Council of Medical Research (ICMR) designed to evaluate the effectiveness of the VKN-NIMHANS-ECHO model of training as compared to training as usual (TAU). METHODS: Both RCTs were conducted in Karnataka, a southern Indian state in which the DMHP operates in all districts. We compared the impact of the following two models of capacity building for the DMHP workforce (a) the VKN-NIMHANS-ECHO model and (b) the traditional method. We use the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement to describe the methods of these two trials.Trial 1 is to evaluate the "Effectiveness of addition of Virtual-NIMHANS-ECHO tele-mentoring model for skilled capacity building in providing quality care in alcohol use disorders by the existing staff of DMHP districts of Karnataka." Hub for trial 1 was set up at NIMHANS and the spokes were psychiatrists and other mental health professionals headquartered in the district level office. Trial 2 assesses the implementation and evaluation of the NIMHANS-ECHO blended training program for the DMHP workforce in a rural south-Indian district of Karnataka state. The hub for trial 2 was set up in the district headquarter of Ramanagaram. Hub specialists are DMHP psychiatrists, whereas spokes are the non-doctor workforce (including auxiliary nurse midwives [ANMs] and accredited social health activists [ASHA] workers) medical officers of primary health centers. The location of the HubHub differs in these two studies. Both trials are funded by the ICMR, Government of India. DISCUSSION: Both these trials, though conceptually similar, have some operational differences which have been highlighted. If demonstrated to be effective, this model of telementoring can be generalized and widely merged into the Indian health care system, thus aiding in reducing the treatment gap for patients unable to access care.
BACKGROUND: Bridging the alarming treatment gap for mental disorders in India requires a monumental effort from all stakeholders. Harnessing digital technology is one of the potential ways to leapfrog many known barriers for capacity building. AIM AND CONTEXT: The ongoing Virtual Knowledge Network (VKN)-National Institute of Mental Health and Neurosciences (NIMHANS)-Extension of Community Health Outcomes (ECHO) (VKN-NIMHANS-ECHO: hub and spokes model) model for skilled capacity building is a collaborative effort between NIMHANS and the University of New Mexico Health Sciences Centre, USA. This article aims to summarize the methodology of two randomized controlled trials funded by the Indian Council of Medical Research (ICMR) designed to evaluate the effectiveness of the VKN-NIMHANS-ECHO model of training as compared to training as usual (TAU). METHODS: Both RCTs were conducted in Karnataka, a southern Indian state in which the DMHP operates in all districts. We compared the impact of the following two models of capacity building for the DMHP workforce (a) the VKN-NIMHANS-ECHO model and (b) the traditional method. We use the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement to describe the methods of these two trials.Trial 1 is to evaluate the "Effectiveness of addition of Virtual-NIMHANS-ECHO tele-mentoring model for skilled capacity building in providing quality care in alcohol use disorders by the existing staff of DMHP districts of Karnataka." Hub for trial 1 was set up at NIMHANS and the spokes were psychiatrists and other mental health professionals headquartered in the district level office. Trial 2 assesses the implementation and evaluation of the NIMHANS-ECHO blended training program for the DMHP workforce in a rural south-Indian district of Karnataka state. The hub for trial 2 was set up in the district headquarter of Ramanagaram. Hub specialists are DMHP psychiatrists, whereas spokes are the non-doctor workforce (including auxiliary nurse midwives [ANMs] and accredited social health activists [ASHA] workers) medical officers of primary health centers. The location of the HubHub differs in these two studies. Both trials are funded by the ICMR, Government of India. DISCUSSION: Both these trials, though conceptually similar, have some operational differences which have been highlighted. If demonstrated to be effective, this model of telementoring can be generalized and widely merged into the Indian health care system, thus aiding in reducing the treatment gap for patients unable to access care.
1. This paper describe the methodology of two randomized controlled trials
comparing two different capacity building models for scaling up public
mental health services.2. Trial-1 focuses on substance use disorders while trial-2 focuses on mental
disorders in general.3. Though conceptually similar, both trials are different operationally.Psychiatric disorders are burdensome, and in India, the treatment gap ranges from 28% to
86%, as per the National Mental Health Survey 2016.[1] The District Mental Health Program (DMHP), the operational arm of the National
Mental Health Program, is the engine for bridging this deficit.[2] There are 31 DMHP teams in Karnataka and each team comprises one psychiatrist,
one psychiatric social worker, one clinical psychologist, two psychiatric nurses, and a
record keeper. An essential objective of DMHP is integrating mental health care into the
general healthcare. This is supposed to be achieved through the periodic training (in
mental health) of all cadres of health workers (including doctors, nurses, pharmacists,
auxiliary nurse midwives [ANMs], and accredited social health activists [ASHAs]) at the
taluk (block) hospitals, community health centers (CHCs), and primary health centers
(PHCs).Three decades since its launch, the DMHP program has had limited success in reducing the
treatment gap. Reasons for poor results include poor infrastructure, overburdened
systems, inappropriate training, inadequate financial support for mental health,
inherent difficulties with monitoring and continued hand-holding, and finally low
technical inputs and guidance to revive community psychiatry programs at national levels.[3] Further, one of the major reasons for the low translational quotient of classroom
training of primary care doctors is the absence of principles of adult learning, which
in turn leads to low sustainability, acceptability, and generalizability.[4] NIMHANS, Bengaluru, is at the forefront of leveraging digital technology to
overcome some of the above-mentioned barriers in capacity building for mental health.
Under the umbrella of NIMHANS Digital Academy, many such capacity-building initiatives
are underway for the past four years in states including Bihar, Karnataka, and Chhattisgarh.[5] One such initiative is the collaborative activity between NIMHANS and the
University of New Mexico Health Sciences Center (UNMHSC), titled Project ECHO (Extension
of Community Healthcare Outcomes).Project ECHO: Project ECHO is a novel and innovative model of health care training and
mentoring, developed at the UNMHSC that strives to enhance access to specialist care in
underserved communities utilizing technology to leverage scarce resources. This
low-cost, high-impact intervention is accomplished by linking multidisciplinary expert
teams from an academic center (hub) with primary care clinicians (spokes) through
videoconference-based Tele-ECHO clinics (Figure 1). During a tele-ECHO clinic, the experts
comanage patient cases with the primary care clinicians and share their expertise via
mentoring, guidance, feedback, and didactic education.[6] Multiple participants can join simultaneously for live Tele-ECHO clinics via
their personal computers or mobile devices.
Figure 1.
Hub and Spokes of the ECHO Model
A typical tele-ECHO session begins with an introduction from all the participants,
including those at the hub and the spokes followed by updates or announcements of
relevant events. Subsequently, a brief didactic session related to mental health
disorders is offered by a hub expert. This is followed by two to three de-identified
case presentations by the participants. The clinic facilitator solicits clarifications
and invites suggestions from the video participants and then by the team of experts at
the hub. Finally, the recommendations made during the session along with additional
points are summarized and forwarded to the presenters.[7]This model enables primary care clinicians to effectively manage patients with common yet
complex diseases in their communities, which reduces travel costs, delays in treatment,
and other avoidable complications. It has proved to be beneficial to both the service
users and the health professionals.[8-10] For the DMHP, this technology has
the potential to leapfrog the barriers in significant mental health care delivery. It
can serve as a model for other academic institutions, departments of health, and primary
care teams to provide specialized care to underserved populations.To demonstrate this model’s effectiveness, two teams at NIMHANS have attempted to compare
the ECHO tele-mentoring model of capacity building, with conventional model of capacity
building for DMHP. The trials seek to examine whether the ECHO model of capacity
building (as compared to the traditional methods of training health care professionals)
results in (a) significant increase in the identification, screening, and assessment for
alcohol use disorders (AUDs) and other mental disorders, (b) enhanced decision-making
ability about appropriate referral of cases to higher centers, and (c) significant
improvement in patient health outcomes such as symptom reduction, reduced level of
disability, improved socio-occupational functioning, and an overall reduction in
caregiver burden of patients, and eventually, the reduction in treatment gap. Lastly, we
set out to examine the feasibility, sustainability, acceptability of this program among
the ground level health care professionals. In the following paragraphs, the
methodologies of these two trials are described. Both trials are approved by the NIMHANS
Ethics committee and are registered in: www.ctri.in (reference number for registration
number of trial 1 is CTRI/2019/12/022517 and the registration number for trial 2 is
CTRI/2019/12/022245). The recruitment for both the trials is currently ongoing.
Trial 1: Effectiveness of Addition of Virtual NIMHANS–ECHO Tele-mentoring Model
for Skilled Capacity Building in Providing Quality Care in AUDs by Existing Staff of
the DMHP Districts of Karnataka
Participants
In Karnataka, DMHP has been implemented in 31 districts, and each DMHP has one
qualified psychiatrist, a psychologist, a psychiatric social worker, and two
staff nurses. In this study, 28 DMHP districts of Karnataka will be
cluster-randomized to two groups, that is, the intervention (DMHP ECHO) group
and control (service as usual) group. The DMHP located in BBMP, Bengaluru urban
and Bengaluru rural were excluded due to the proximity to the NIMHANS hub, and
hence the possibility of bias.The inclusion criteria for the selection of DMHPs are as follows: (a) Located and
administered by Department of Health and Family Welfare, Karnataka, (b) having a
minimum of one psychiatrist and one psychologist/psychiatric social
worker/psychiatric staff nurse/community nurse (spokes), and (c) having adequate
internet bandwidth to support ECHO videoconference sessions. If the internet
penetration is poor, then NICNET which is accessible at all district commission
offices will be used.The participants randomized into the intervention (i.e., DMHP ECHO) group will
receive training offered by the NIMHANS team of addiction specialists (hub). The
control group will continue service as usual, without additional training from
NIMHANS. The course has been designed as a 12-month training module with a
competency-based accreditation that is approved by the NIMHANS Board of Studies.
The prerequisites for course completion and accreditation are two or more case
presentations by the participants and maintaining 60% attendance during the live
tele-ECHO sessions. They are also required to complete the pre-test and
post-test, attain 75% scores in the periodically provided e-assessments, and
submit online monthly reports of cases of SUDs seen by them at their respective
healthcare practice. The participation in the course is entirely free of cost
and the participants will not be paid any additional incentives for their
participation.Tele-ECHO clinics will be conducted weekly with a focus on iterative, case-based
learning in which DMHP staff will present challenging clinical cases and receive
guidance from the hum experts. In view of local needs, few alterations will be
made to the existing model. The specific phases of this project are described
below.
Phase 1: Hub Preparation
The intervention module will be developed by recruiting project staff. They will
be trained in VKN–NIMHANS–ECHO model in taking the role of facilitator for the
weekly Tele-ECHO clinics. The HubHub for this study is located at the already
established Virtual Learning Centre, Centre of Addiction Medicine, NIMHANS. The
team of experts at the HubHub will develop the curriculum and training material
based on best practices, keeping in mind the need of the DMHP centers.
Phase 2: Implementation
After cluster randomization, the participants will be recruited for the study.
The team of health professionals from DMHP ECHO group will undergo face-to-face
on-site training regarding details of the research study, their role in the
study along with brief didactic discussion about SUDs. During this training,
they will be educated about getting linked to the NIMHANS–ECHO hub and using the
addiction-related assessment tools required for the study. The tasks will be
clearly defined for this study which will help in determining the competencies
that should be focused on during the training sessions and will account for a
systematic and fuss-free flow of work at the DMHP.The DMHP health professionals will recruit cases by actively screening patients
visiting their out-patients department at the district hospital for AUDs using
the screening tools listed below. Patients testing positive will be entered into
a record and referred to as DMHP for further management. An abbreviated version
of clinical pro forma being currently used at NIMHANS will be used for
assessment.Tools:AUD Identification Test (AUDIT)[11]Patient Health Questionnaire (PHQ SADS)WHO Quality of Life BREF (WHO QOL BREF)[12]Visual analogue scale to measure the status of improvement as per the
patient and family membersPeriodic semistructured assessments for knowledge, attitude, and
motivation of health professionalsThe assessments will be done every three months for patients and every six months
for health professionals.
Phase 3: NIMHANS-–ECHO Tele-mentoring and Virtual Tele-ECHO Clinics
The online multipoint videoconference-based tele-ECHO clinic will take place at
fixed times every week. The overall purpose of these tele-ECHO clinics will be
implementing standard care as per SOP, discussing the challenges faced,
resolving their doubts which will in turn encourage comanagement, collaborative
care, and supervision. The tele-ECHO clinic will also serve as a forum for
discussing the various challenges that participants face in implementation at
the community level. The hub multidisciplinary team will have an addiction
psychiatrist, a general adult psychiatrist, clinical psychologist, psychiatric
social worker, and nurse. In instances where inputs from other psychiatric
specialties (such as geriatric psychiatry, women’s mental health, forensic
psychiatry) are required, the respective specialist will be requested to take
part in the tele-ECHO clinic discussion. Apart from the routine case-based
management, special attention will be given to counseling specific for AUDs such
as the Feedback, Responsibility, Advice, Menu of options, Empathy and Self
efficacy (FRAMES)[13] model of Brief Intervention, Develop Discrepancy, Avoid Argumentation,
Roll with resistance, Express empathy, Support Self Efficacy (DARES)[14] approach for motivation enhancement, relapse prevention skills, enhancing
coping skills, and use of stress reduction techniques.
Evaluation
The assessment for patient-related outcome will be conducted every 3 months and
for the health professional outcomes every six months.
Primary Outcome: Patient Related
Evaluation was done in detail from two districts each from DMHP ECHO and DMHP SAU
groups:30% increase in the number of identification of cases of AUD at DMHP
ECHO districts compared to that of DMHP SAU by nurse, social worker,
and psychologistDecrease in the AUDIT score of less than 8 and mean daily alcohol
consumption in the past 14 days immediately preceding the 3-month
outcome assessment in DMHP ECHO districts compared to DMHP SAU
districts
Secondary Outcomes
Evaluation for health professionals was done in all districts based on Moore’s
evaluation criteria[15]:Service related: Increase in access to care, increased medicines
dispensed, and improved treatment compliance.Health professionals: Participation, satisfaction, learning,
competence, performance—highlighting increase in their knowledge,
attitude, empathy, skills, motivation, adherence to best practice
care, professional satisfaction.Clinical: Changes in disability and dysfunction reported by the
patients as recorded by WHO QOL BREF during three-month outcome
assessments.
Statistical Analysis and Data Management
There are 28 clusters, that is, DMHP spokes. Assuming an intra-cluster
correlation coefficient of 0.04 and assuming loss to follow up of 50% over six
months, and 1:1 allocation ratio, a trial size of 200 patients of AUD was
established. This will have 85% power to detect the hypothesized effect between
the DMHP ECHO and DMHP SAU groups.Data storage and handling will be done at NIMHANS for tele-ECHO clinics in the
NIMHANS server using a method to keep the data safe and encrypted. All the data
stored at NIMHANS will be filed in a locked cabinet in a secure office (paper
forms) and in encrypted files located on a secure, nonpublic, password protected
computer (digital forms) in a locked room. Paper forms will be digitized to
facilitate data analysis. Upon completion of the study period, all paper forms
will be destroyed. All the nonsurvey data collected at the participating
clinical sites will be collected in a manner consistent with clinical care of
the patient and will be stored using the clinic’s already existing
HIPAA-compliant medical record system (which may be digital or paper-based,
depending on the clinic).Data analysis will be carried out under the supervision of the principal
investigator and the biostatistician and both quantitative and qualitative
analysis will be conducted for the study.
Trial 2: Implementation and Evaluation of NIMHANS–ECHO Blended Training Program
for the DMHP Workforce in a Rural South-Indian District of Karnataka State
Setting
This project hub will be located at Ramanagaram, a district head quarter which is
located 50 km (30 miles) away from the NIMHANS, Bengaluru. Additionally, the
district has the following peripheral health infrastructure: three taluk
hospitals, three CHCs, and 61 PHCs. The PHCs are the first contact for patients
in the district. Each PHC has one medical doctor (with basic qualification of
MBBS), one pharmacist, a couple of nurses; 15 ANMs, and about 10 ASHAs. Around
six PHCs in the district are managed solely by AYUSH (traditional Indian systems
of medicine) doctors.ANMs are known as the village health workers who are the primary contact between
the health infrastructure and community. ASHAs are the latest human resource
supplement to the public health. Both ANMs as well as ASHAs are well-equipped to
satisfy the mental health needs of the communities.[16]For this project, three PHCs will be chosen (simple random sampling) to be the
study group. ASHAs, ANMs, pharmacists, and doctors of these PHCs will be
mentored and trained for a period of six months in running the DMHP program
(details below). Three more PHCs will be selected as controls where the DMHP
would run in the routine manner (i.e., sans the hand-holding program).
Implementation of the NIMHANS–ECHO Blended Training Program
Subjects: The ANMs, ASHAs, pharmacists, and doctors of PHCs will form the
subjects for the current study. In total, 30 ASHAs, 12 ANMs, 2 pharmacists, and
3 doctors will be recruited for the study group and an equal number for the
control group.Setting up of the training “hub” at Ramanagaram: The district hospital at
Ramanagaram (run by the health department of the Government of Karnataka, India)
is the place where a training hub has been established. Physical space has been
provided by the hospital.Elements of the NIMHANS–ECHO-blended training program: The NIMHANS–ECHO training
program will contain both online and onsite content.The onsite content: This content is a three-day training
course for doctors and half-a-day orientation program for the nondoctor
DMHP workforce.Nonspecialist doctors are oriented to various
psychiatric disorders and are taught about basic
psychopharmacology.Nondoctor workforce will get orientation about
various psychiatric disorders and about their responsibilities
in identifying and referring persons with psychiatric disorders.
Typically, they would be trained in administering a simple tool
(“symptoms in others”; see below). They would be requested to
administer the tool to every household they visit during their
working hours. Any positive cases identified will be sent to the
nearest PHC for evaluation and management.The online content: This will be designed keeping in mind the
availability of time for the DMHP workforce. In principle, the content
includes a one- or two-hour session once in three weeks. It would
consist of an interactive session in which a clinical case conference
and a discussion on a topic of clinical interest would be held.The project involves onsite training of members of the study as well as the
control groups. Mentoring and training through online sessions will be limited
only to the study group. The mentoring exercise will continue for six months.
The control group is expected to undertake the DMHP work as the rest of the
state is doing.Short-term outcomesParticipation/attendance of spoke members and their
professional satisfaction—feedback formDemonstration of improved knowledge and competence by the
spokes—pre- and post-KAP assessmentsChallenges faced by the spokes—feedback formChallenges faced by the “hub” members in running the
program—feedback formChallenges and opportunities of setting up and running such a
training module (to study the feasibility of running such
program)—feedback formMedium-term outcomesPerformance of spoke members in identification,
pharmacotherapy, counseling, referral to higher
centers—monthly monitoring reportsSustainability of the programLong-term outcomesPatient health outcomesReduction in symptoms: Clinical Global
Impression—schizophrenia (CGI-S), bipolar version,
brief addiction rating scale (BARS), timeline
follow-back (TLFB) methodChanges in the levels of disability: Indian
Disability Evaluation and Assessment Scale
(IDEAS), World Health Organization Disability
Assessment Schedule 2.0 (WHODAS-2.0)Improvement in work functioning: IDEAS,
WHODAS-2.0, EuroQolImprovement in social functioning: IDEAS,
WHODAS-2.0, EuroQolReduction in family burden: Burden assessment
schedulePopulation healthReduction in treatment gap: Treatment gap will be
calculated by the formula given below.[17] The authors give the following definition:The absolute difference between the true
prevalence of a disorder and the treated
proportion of individuals affected by the
disorder. Alternatively, the treatment gap may be
expressed as the percentage of individuals who
require care but do not receive treatment.
Estimating the treatment gap in a population
depends on the prevalence period of the disorder,
the time frame of the examination of service
utilization, and the demographic
representativeness of the study sample regarding
the target population.G = (S [1 – Sc] RcPc) /
S (RcPc)G = treatment gap, Sc = service utilization
rate*, Rc = prevalence rate, and Pc =
population*Service utilization rate will be calculated by
the number of patients with psychiatric disorders
who are identified/treated by the ANMs/ASHAs and
doctors after the project begins.Comparison of the “study” group and the “control”
group in terms ofNumber of patients identified and treatedReach in terms of delivering the social welfare
benefits for persons with psychiatric
disabilitiesCost of the entire program: The overall
expenditure incurred during the implementation of
the NIMHANS–ECHO-blended training program which
includes the costs incurred for establishing the
HubHub, travel expenditure, online mentoring for
the study group, and onsite training for both the
study and control group will be calculated.Subsidiary outcomesOnsite curriculum for nonspecialist DMHP workforceOnline curriculum for the nonspecialist DMHP workforceFeedback form: The feedback form was developed on the basis of our
previous experience in evaluating the effectiveness of the ECHO-blended
training program in other states such as Chhattisgarh and
Bihar.[18,19]Symptoms in others[20]: “Symptoms in others” is a simple tool for screening psychiatric
disorders. This can be applied by ground-level health care workers and
has been shown to be successful in identifying nearly all psychiatric
disorders in the communities.[20] We have modified the tool by adding a couple of questions to
identify substance use disorders and mental retardation. Totally, the
modified tool contains 15 questions and it does not take more than five
minutes to apply this instrument.IDEAS[21]: The IDEAS had been originally developed for measuring and
certifying disability for psychiatric patients in India. The IDEAS has
good face validity, criterion validity, and internal consistency.
Although originally meant for certifying disability of patients with
psychiatric illnesses, it has been used for research purposes, and has
been found sensitive in the identification of milder levels of
disability as well.EuroQol (EQ-5D)[22]: This is a standardized, nondisease-specific instrument for
describing quality of life in health-related states. This is easy to
administer and has been increasingly used to measure quality of life in
psychiatric disorders especially in schizophrenia and related
disorders.Burden Assessment Schedule (BAS)[23]: This instrument rates burden faced by the caregiver across 40
items. Each item is scored as 1 (no burden at all), 2 (burdensome to
some extent), or 3 (very much burdensome). The scale assesses both
objective and subjective burden experienced by the primary care givers
of chronic mentally ill patients. Its criterion validity has been
established and it has good inter-rater reliability (Kappa = 0.80).World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0)[24]: WHODAS 2.0, by the WHO, supersedes the earlier version of the
disability assessment schedule. It can be used to measure disability
across all diseases including mental and substance use disorders. It
covers six domains including cognition—understanding and communicating;
mobility—moving and getting around; self-care—hygiene, dressing, eating
and staying alone; getting along-interacting with other people; life
activities, domestic responsibilities, leisure, work and school;
participation—joining in community activities. We will translate the
instrument into the local vernacular, Kannada. We will use the 12-item
questionnaire for this study.The CGI-S scale[25]: This is a simple instrument to measure the diverse symptom
dimensions of schizophrenia including positive, negative, and cognitive
symptoms. Its psychometric properties have been well-established.The Clinical Global Impressions Scale—Bipolar Version (CGI-BP)[26]: Just as mentioned above for schizophrenia, the old CGI scale was
modified for the purposes of tracking outcomes in bipolar affective
disorders. CGI-BP gives a set of instructions to facilitate the tracking
in terms of acute episodes and longer-term illness prophylaxis. The
psychometric properties of this scale are good.The BARS[27]: The scale assesses problems due to addiction in different
spheres. It has been used in the Indian setting.The TLFB method[28]: This technique measures and tracks outcomes of AUDs. The
pen–paper version can be freely used. Patients are asked to provide an
estimate of the amount of alcohol consumed on each drinking occasion
during a specified time period. The TLFB has been used extensively in
the research literature and has been found to have good psychometric
properties.
Assessment Tools
It may be noted that these scales would be administered in a selected
(random-cluster sampling: 1–2 villages by random selection) subgroup of patients
only. Patients who are easily accessible (who regularly come to follow-up and
those who can be easily reached by means of home visits) will be assessed using
the mentioned scales. While it is difficult to commit as to how many patients
(in each disorder category) would be assessed, reasonable efforts will be made
to include at least 30 patients (for each disorder including schizophrenia,
bipolar affective disorder, depressive disorders, and AUDs) in each group
(“study” group as well as the “control” group). This is because covering all
identified patients and bringing all of them under the ambit of these
questionnaires requires huge logistic and financial support.
Statistical Analysis:
Descriptive statistics will be used to explain prevalence of the disorders,
treatment gap, and level of symptoms, disability, burden, and outcome. In the
two groups, outcomes would be compared using the chi-square test for categorical
variables and t-test (Mann–Whitney test for non-normally distributed variables)
for continuous variables. Alfa would be set at P < 0.05 with correction for
multiple comparisons.
Discussion
Through the two randomized controlled trials described earlier, we intend to evaluate
the impact of the VKN–NIMHANS–ECHO model of capacity building. One study focuses on
substance use disorders, while the other focuses on mental illnesses in general.
Both studies work with the common objectives of democratizing specialist knowledge
and promoting multidirectional case-based learning, incorporating adult learning
principles in the training of health professionals. The impact expected from this
training model is not only the significantly improved patient outcome in these
communities but also a heightened level of knowledge, skills, and confidence of the
health professionals.The operational differences between the two studies lie in the fact that trial 1
utilizes a tertiary care neuropsychiatric center (NIMHANS, Bengaluru) as the “hub”
and the psychiatrists and other health professionals at the DMHP as the “spokes,”
whereas trial 2 will have the “hub” situated in a district hospital (Ramanagaram,
Karnataka) with the general health care workers (ANMs and ASHA workers) and PHC
medical officers forming the “spokes.”This model of tele-mentoring, if demonstrated to be effective, can be generalized and
widely merged into the Indian health care system for providing an opportunity for
continued sharing of knowledge and best practice guidelines amongst health
professionals as well as capacity building in resource-scarce areas. Further with
this model there tends to be least disruption in the routine work of the “spokes”
which can further contribute to the economy in terms of cost-effectiveness and money
spent along with improving the overall participation.
Authors: J M Haro; S A Kamath; S Ochoa; D Novick; K Rele; A Fargas; M J Rodríguez; R Rele; J Orta; A Kharbeng; S Araya; M Gervin; J Alonso; V Mavreas; E Lavrentzou; N Liontos; K Gregor; P B Jones Journal: Acta Psychiatr Scand Suppl Date: 2003
Authors: Kabir Garg; N Manjunatha; Channaveerachaari Naveen Kumar; Prabhat K Chand; Suresh Bada Math Journal: Indian J Psychiatry Date: 2019 Mar-Apr Impact factor: 1.759
Authors: P Lakshmi Nirisha; Barikar C Malathesh; Nithesh Kulal; Nisha R Harshithaa; Ferose Azeez Ibrahim; Satish Suhas; N Manjunatha; Channaveerachari Naveen Kumar; Rajani Parthasarathy; Adarsha Alur Manjappa; Jagadisha Thirthalli; Prabhat Kumar Chand; Sanjeev Arora; Suresh Bada Math Journal: Community Ment Health J Date: 2022-07-02