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Impact Evaluation of Technology Driven Mental Health Capacity Building in Bihar, India.

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Title: Impact Evaluation of Technology Driven Mental Health Capacity Building in Bihar, India.
Authors: Malathesh, Barikar C. (AUTHOR), Bairy, Bhavya K. (AUTHOR), Kumar, Channaveerachari Naveen (AUTHOR), Nirisha, P. Lakshmi (AUTHOR), Gajera, Gopi V. (AUTHOR), Pandey, Praveen (AUTHOR), Manjunatha, Narayana (AUTHOR), Ganesh, Aurobind (AUTHOR), Mehrotra, Kanika (AUTHOR), Bhaskarapillai, Binukumar (AUTHOR), Gunasekaran, Durai Murukan (AUTHOR), Arora, Sanjeev (AUTHOR), Sinha, Narendra Kumar (AUTHOR), Math, Suresh Bada (AUTHOR)
Source: Psychiatric Quarterly. Dec2021, Vol. 92 Issue 4, p1855-1866. 12p. 3 Charts, 2 Graphs.
Subjects: Mental health, Primary care, Substance abuse, Mental illness, Clinical psychologists
Geographic Terms: Bihar (India), India
Abstract: Task-shifting is an important means to address the barrier of inadequate specialist human resources for mental health in countries such as India. This paper aims to report the impact of one such task-shifting initiative. Twenty-two non-specialist Medical Officers of Bihar, an eastern Indian state were engaged in a ten-month long hybrid (a 15-days onsite orientation to psychiatry and periodic online mentoring in primary care psychiatry) training program to enable them to identify commonly presenting psychiatric disorders in their respective clinics. 20 online sessions (hub and spoke ECHO model) occurred over the next 10 months. Apart from didactic topics, 75 cases covering severe mental disorders, common mental disorders and substance use disorders were discussed (case presentations by the primary care doctors (PCDs)) and moderated by a specialist psychiatrist and clinical psychologist). 12 successive self-reported monthly reports (comprising of the number and nature of psychiatric cases seen by the trainee PCDs) were analyzed. The mean (SD) number of sessions attended was 9 (8.0) and median was 13 (Range: 0–20). Mean number of cases (per PCD) discussed was 3.4 (3.4) (Median: 4; Range: 0–10). Total 20,909 patients were cared for in the 12 months after initiation of the training program. Increasingly, a greater number of patients were cared for as the training progressed. This pattern was mainly driven by more identifications of severe mental disorders (SMDs), common mental disorders (CMDs), dementias and substance use disorders. Mean (SD) number of patients seen per month before and after training was 1340.33 (86.73) and 1876.44 (236.51) (t = − 3.5, p < 0.05) respectively. A hybrid model of training PCDs is feasible and can be effective in identification of persons with psychiatric disorders in the community. Prospective, well designed studies are essential to demonstrate the effectiveness of this model. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Impact Evaluation of Technology Driven Mental Health Capacity Building in Bihar, India.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Psychiatric+Quarterly%22&quot;&gt;Psychiatric Quarterly&lt;/searchLink&gt;. Dec2021, Vol. 92 Issue 4, p1855-1866. 12p. 3 Charts, 2 Graphs.
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  Data: Task-shifting is an important means to address the barrier of inadequate specialist human resources for mental health in countries such as India. This paper aims to report the impact of one such task-shifting initiative. Twenty-two non-specialist Medical Officers of Bihar, an eastern Indian state were engaged in a ten-month long hybrid (a 15-days onsite orientation to psychiatry and periodic online mentoring in primary care psychiatry) training program to enable them to identify commonly presenting psychiatric disorders in their respective clinics. 20 online sessions (hub and spoke ECHO model) occurred over the next 10 months. Apart from didactic topics, 75 cases covering severe mental disorders, common mental disorders and substance use disorders were discussed (case presentations by the primary care doctors (PCDs)) and moderated by a specialist psychiatrist and clinical psychologist). 12 successive self-reported monthly reports (comprising of the number and nature of psychiatric cases seen by the trainee PCDs) were analyzed. The mean (SD) number of sessions attended was 9 (8.0) and median was 13 (Range: 0–20). Mean number of cases (per PCD) discussed was 3.4 (3.4) (Median: 4; Range: 0–10). Total 20,909 patients were cared for in the 12 months after initiation of the training program. Increasingly, a greater number of patients were cared for as the training progressed. This pattern was mainly driven by more identifications of severe mental disorders (SMDs), common mental disorders (CMDs), dementias and substance use disorders. Mean (SD) number of patients seen per month before and after training was 1340.33 (86.73) and 1876.44 (236.51) (t = − 3.5, p &lt; 0.05) respectively. A hybrid model of training PCDs is feasible and can be effective in identification of persons with psychiatric disorders in the community. Prospective, well designed studies are essential to demonstrate the effectiveness of this model. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11126-021-09945-4
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      – SubjectFull: Substance abuse
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