Operational challenges in the pre-intervention phase of a mental health trial in rural India: reflections from SMART Mental Health.

Complex intervention India LMIC Mental Health Services Operational challenges Rural cRCT mHealth

Journal

International journal of mental health systems
ISSN: 1752-4458
Titre abrégé: Int J Ment Health Syst
Pays: England
ID NLM: 101294224

Informations de publication

Date de publication:
16 Aug 2022
Historique:
received: 30 08 2021
accepted: 29 07 2022
entrez: 16 8 2022
pubmed: 17 8 2022
medline: 17 8 2022
Statut: epublish

Résumé

Availability of mental health services in low- and middle-income countries is largely concentrated in tertiary care with limited resources and scarcity of trained professionals at the primary care level. SMART Mental Health is a strategy that combines a community anti-stigma campaign with a primary health care workforce strengthening initiative, using electronic decision support with the goal of better identifying and supporting people with common mental disorders in India. We describe the challenges faced and lessons learnt during the pre-intervention phase of SMART Mental Health cluster Randomised Controlled Trial. Pre-intervention phase includes preliminary activities for setting-up the trial and research activities prior to delivery of the intervention. Field notes from project site visit, project team meetings and detailed follow-up discussions with members of the project team were used to document operational challenges and strategies adopted to overcome them. The socio-ecological model was used as the analytical framework to organise the findings. Key challenges included delays in government approvals, addressing community health worker needs, and building trust in the community. These were addressed through continuous communication, leveraging support of relevant stakeholders, and addressing concerns of community health workers and community. Issues related to use of digital platform for data collection were addressed by a dedicated technical support team. The COVID-19 pandemic and political unrest led to significant and unexpected challenges requiring important adaptations to successfully implement the project. Setting up of this trial has posed challenges at a combination of community, health system and broader socio-political levels. Successful mitigating strategies to overcome these challenges must be innovative, timely and flexibly delivered according to local context. Systematic ongoing documentation of field-level challenges and subsequent adaptations can help optimise implementation processes and support high quality trials. The trial is registered with Clinical Trials Registry India (CTRI/2018/08/015355). Registered on 16th August 2018. http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=23254&EncHid=&userName=CTRI/2018/08/015355.

Sections du résumé

BACKGROUND BACKGROUND
Availability of mental health services in low- and middle-income countries is largely concentrated in tertiary care with limited resources and scarcity of trained professionals at the primary care level. SMART Mental Health is a strategy that combines a community anti-stigma campaign with a primary health care workforce strengthening initiative, using electronic decision support with the goal of better identifying and supporting people with common mental disorders in India.
METHODS METHODS
We describe the challenges faced and lessons learnt during the pre-intervention phase of SMART Mental Health cluster Randomised Controlled Trial. Pre-intervention phase includes preliminary activities for setting-up the trial and research activities prior to delivery of the intervention. Field notes from project site visit, project team meetings and detailed follow-up discussions with members of the project team were used to document operational challenges and strategies adopted to overcome them. The socio-ecological model was used as the analytical framework to organise the findings.
RESULTS RESULTS
Key challenges included delays in government approvals, addressing community health worker needs, and building trust in the community. These were addressed through continuous communication, leveraging support of relevant stakeholders, and addressing concerns of community health workers and community. Issues related to use of digital platform for data collection were addressed by a dedicated technical support team. The COVID-19 pandemic and political unrest led to significant and unexpected challenges requiring important adaptations to successfully implement the project.
CONCLUSION CONCLUSIONS
Setting up of this trial has posed challenges at a combination of community, health system and broader socio-political levels. Successful mitigating strategies to overcome these challenges must be innovative, timely and flexibly delivered according to local context. Systematic ongoing documentation of field-level challenges and subsequent adaptations can help optimise implementation processes and support high quality trials.
TRIAL REGISTRATION BACKGROUND
The trial is registered with Clinical Trials Registry India (CTRI/2018/08/015355). Registered on 16th August 2018. http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=23254&EncHid=&userName=CTRI/2018/08/015355.

Identifiants

pubmed: 35974341
doi: 10.1186/s13033-022-00549-4
pii: 10.1186/s13033-022-00549-4
pmc: PMC9379869
doi:

Types de publication

Journal Article

Langues

eng

Pagination

42

Subventions

Organisme : National Health and Medical Research Council
ID : APP1143911
Organisme : Global Alliance for Chronic Diseases
ID : APP1143911

Informations de copyright

© 2022. The Author(s).

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Auteurs

Ankita Mukherjee (A)

The George Institute for Global Health, New Delhi, India. Amukherjee@georgeinstitute.org.in.

Mercian Daniel (M)

The George Institute for Global Health, New Delhi, India.

Amanpreet Kaur (A)

The George Institute for Global Health, New Delhi, India.

Siddhardha Devarapalli (S)

The George Institute for Global Health, Hyderabad, India.

Sudha Kallakuri (S)

The George Institute for Global Health, Hyderabad, India.

Beverley Essue (B)

Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.

Usha Raman (U)

Department of Communication, University of Hyderabad, Hyderabad, India.

Graham Thornicroft (G)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Shekhar Saxena (S)

Harvard T H Chan School of Public Health, Boston, USA.

David Peiris (D)

The George Institute for Global Health, UNSW Sydney, Sydney, Australia.

Pallab K Maulik (PK)

The George Institute for Global Health, New Delhi, India.
University of New South Wales, Sydney, Australia.

Classifications MeSH