Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Mar 22, 2023
Open Peer Review Period: Mar 22, 2023 - May 17, 2023
Date Accepted: Nov 29, 2023
(closed for review but you can still tweet)
An implementation report describing the learnings from implementation of technology-enabled mental health interventions in India
ABSTRACT
Background:
There is an increase in the use of technology enabled interventions for delivering mental health care in different settings. Technological solutions have been advocated to increase access to care especially in primary healthcare settings in LMICS to facilitate task-sharing given the lack of trained mental health professionals. This paper describes the experiences of using technology in implementing mental health projects among adults and adolescents in rural and urban settings of India.
Objective:
This paper aims to describes the experiences of using technology in implementing mental health projects among adults and adolescents in India
Methods:
The overall description of the technological frameworks used for the different studies is given in detail. This includes the mobile applications that were used to collect data and the use of the database to store the data that was collected. The different electronic decision support systems that were employed and the enhancements made to the mobile applications and the database level are illustrated.
Results:
Development of descriptive analytics at the database level, enabling offline and online data storage modalities ,customizing the OPEN MRS platform to suit the study requirements, modifying the encryption settings thereby making the system more secure, merging different applications for simultaneous data collection were some of the enhancements made across different projects.
Conclusions:
In conclusion, the development of the applications are subject to the context and the area where they would be implemented. This paper outlines the need for careful testing using an iterative process that may support future research suing similar technology.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.