A qualitative exploration of perceived needs and barriers of individuals with schizophrenia, caregivers and clinicians in using mental health applications in Madhya Pradesh, India

Bondre, Ameya; Shrivastava, Ritu; Raghuram, Harikeerthan; Tugnawat, Deepak; Khan, Azaz; Gupta, Shakti; Kumar, Mohit; Mehta, Urvakhsh Meherwan; Keshavan, Matcheri S.; Lakhtakia, Tanvi; Chand, Prabhat; Thirtalli, Jagadisha; Patel, Vikram; Torous, John; Naslund, John A.; Bhan, Anant

doi:10.1016/j.ssmmh.2022.100063

Cited by 8 publications

(10 citation statements)

References 46 publications

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“…Additionally, there have been few studies that have specifically examined the role of technology for building capacity of frontline community health workers in India for early detection and referral of schizophrenia, highlighting a novel aspect of this study which holds potential to meaningfully scale up schizophrenia care in rural India. This is a particularly timely effort, because the work described in this study aligns with increasing recognition from the health system in India on the important role for leveraging technology to support health worker training and rapid digitization in response to the COVID-19 pandemic [ 68 – 70 ], as well as emerging studies demonstrated the feasibility and acceptability of using digital technology for supporting clinical care and capturing clinical metrics among patients with schizophrenia in different settings in India [ 55 , 70 – 73 ].…”

Section: Discussionmentioning

confidence: 99%

“…We used a semi-structured interview guide covering key topics related to the feasibility and acceptability of the training content as well as use of the digital training platform. Development of the interview guide was informed by our prior efforts working with ASHAs to test the feasibility and acceptability of a digital platform for training in depression care [ 30 ], as well as our team’s efforts collecting insights from multiple stakeholder groups on the use of digital interventions for the management of schizophrenia in routine care settings in Madhya Pradesh, India [ 55 ]. Specifically, the interview guide covered five broad domains: 1) knowledge and attitudes about schizophrenia; 2) knowledge gained from the training program; 3) satisfaction with the training program; 4) usability of the digital training platform; and 5) usefulness/utility of the training program.…”

Section: Methodsmentioning

confidence: 99%

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Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India

et al. 2023

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This study aimed to develop and assess the acceptability of a digital program for training community health workers (CHWs) in the detection and referral of patients with schizophrenia in community settings in rural India. An iterative design process was employed. First, evidence-based content from existing community programs for schizophrenia care was incorporated into the curriculum, and reviewed by experts to ensure clinical utility and fidelity of the adapted content. Second, CHWs provided feedback on the appropriateness of language, content, and an initial prototype of the digital training program to ensure relevance for the local context. Focus group discussions were then used to understand the acceptability of the digital training prototype and to inform modifications to the design and layout. Qualitative data was analysed using a rapid thematic analysis approach based on predetermined topics pertaining to acceptability of the training content and digital platform. Development of the initial prototype involved content review by 13 subject matter experts with clinical expertise or experience accessing and receiving mental health services, and engagement of 23 CHWs, of which 11 provided feedback for contextualization of the training content and 12 participated in focus group discussions on the acceptability of the prototype. Additionally, 2 service-users with lived experience of schizophrenia contributed to initial testing of the digital training prototype and offered feedback in a focus group discussion. During contextualization of the training content, key feedback pertained to simplifying the language and presentation of the content by removing technical terms and including interactive content and images to enhance interest and engagement with the digital training. During prototype testing, CHWs shared their familiarity with similar symptoms but were unaware of schizophrenia as a treatable illness. They shared that training can help them identify symptoms of schizophrenia and connect patients with specialized care. They were also able to understand misconceptions and discrimination towards people with schizophrenia, and how to address these challenges by supporting others and spreading awareness in their communities. Participants also appreciated the digital training, as it could save them time and could be incorporated within their routine work. This study shows the acceptability of leveraging digital technology for building capacity of CHWs to support early detection and referral of schizophrenia in community settings in rural India. These findings can inform the subsequent evaluation of this digital training program to determine its impact on enhancing the knowledge and skills of CHWs. Supplementary Information The online version contains supplementary material available at 10.1007/s11126-023-10019-w.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India

et al. 2023

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“…Sangath is now leading the National Institute of Mental Health (NIMH) funded ESSENCE (Enabling translation of Science to Service to Enhance Depression Care) project, supported by a Memorandum of Understanding with the National Health Systems Resource Centre (NHSRC), Government of India and Department of Public Health and Family Welfare, Government of Madhya Pradesh, a major component of which seeks to leverage digital technology for building capacity of community health workers in treating common mental disorders in primary care settings [ 30 ]. More recently, Sangath has been collaborating with Beth Israel Deaconess Medical Center and Harvard Medical School in the United States, and AIIMS Bhopal and NIMHANS in India to support an effort aimed at leveraging smartphone technology for digital phenotyping in patients with schizophrenia as part of the SHARP (Smartphone Health Assessment for Relapse Prevention) project [ 31 , 32 , 33 , 34 , 35 ]. The SARATHA project builds on these prior and ongoing efforts, and involves recruiting community health workers from primary healthcare facilities in the Sehore district who are already enrolled in other ongoing training activities [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Schizophrenia Assessment, Referral and Awareness Training for Health Auxiliaries (SARATHA): Protocol for a Mixed-Methods Pilot Study in Rural India

Naslund

Tyagi

Khan

et al. 2022

IJERPH

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Background: Workforce shortages pose major obstacles to the timely detection and treatment of schizophrenia, particularly in low-income and middle-income countries. The SARATHA (Schizophrenia Assessment, Referral, and Awareness Training for Health Auxiliaries) project involves the systematic development, iterative refinement, and pilot testing of a digital program for training community health workers in the early detection and referral of schizophrenia in primary care settings in rural India. Methods: SARATHA is a three-phase study. Phase 1 involves consulting with experts and clinicians, and drawing from existing evidence to inform the development of a curriculum for training community health workers. Phase 2 consists of designing and digitizing the training content for delivery on a smartphone app. Design workshops and focus group discussions will be conducted to seek input from community health workers and service users living with schizophrenia to guide revisions and refinements to the program content. Lastly, Phase 3 entails piloting the training program with a target sample of 20 community health workers to assess feasibility and acceptability. Preliminary effectiveness will be explored, as measured by community health workers’ changes in knowledge about schizophrenia and the program content after completing the training. Discussion: If successful, this digital training program will offer a potentially scalable approach for building capacity of frontline community health workers towards reducing delays in early detection of schizophrenia in primary care settings in rural India. This study can inform efforts to improve treatment outcomes for persons living with schizophrenia in low-resource settings.

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“…Thus, while some findings suggest that the influence of social networks on caregiver mental health is depicted in a negative light, some authors have also shown a favorable relationship between social networks and caregiver mental health, which is intriguing. Although the social network has more negative effects, the positive results show that individuals have begun to use it effectively and find it helpful in enhancing the mental health of health workers (Bondre et al , 2022; Dam et al , 2018; Sinha Deb et al , 2018). All these negative and positive opinions will help care givers to use social media more cautiously and properly.…”

Section: Text Miningmentioning

confidence: 99%

“…The spread of internet services and social media has changed how people think about and make health-care decisions (Nikzad-Terhune et al , 2015). This is a very controversial topic, as people think social media has only impacted people negatively and distracted people from their work (Bondre et al , 2022). For example: while working, people get distracted by the use of social media which causes hindrance in their work; using social media is also very time-consuming and leads to loss of productivity.…”

Section: Introductionmentioning

confidence: 99%

Past, present and future impact of social media on health workers’ mental health: a text mining approach

Novera

Connolly

Rahman

et al. 2023

JM2

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Purpose The COVID-19 epidemic has brought attention to the variables that influence the mental health of health workers who are entrusted with nursing individuals. Despite the fact that many articles have examined the effects of social media usage on mental health, there is a lack of research synthesizing learning from this body of research. The purpose of this study is to use text mining and citation-based bibliometric analysis to conduct a detailed review of extant literature on health workers’ mental health and social networking habits. Design/methodology/approach This study conducts a full-text analysis of 36 articles selected on health workers' mental health and social media using text-mining techniques in R programming and a bibliometric citation analysis of 183 papers from the Scopus database in VOS viewer software. But the limitations of the methods used in this study are that the bibliometric analysis was limited to the Scopus database because the VOS viewer program did not support any other database and the text-mining approach caused the natural processing redundancy. Findings The bibliometric analysis reveals the thematic networks that exist in the literature of health workers’ mental health and social networking. The findings from text mining identified ten topic models, which helped to find the related papers classified in ten different groups and are provided alongside a summary of the published research and a list of the primary authors with posterior probability through Latent Dirichlet Allocation. Originality/value To the best of the authors’ knowledge, this is the first hybrid review, combining text mining and bibliometric review, on health workers’ mental health where social networking plays a moderating role. This paper critically provides an overview of the impact of social networking on health workers' mental health, presents the most important and frequent topics, introduces the scientific visualization of articles published in the Scopus database and suggests further research avenues. These findings are important for academics, health practitioners and medical specialists interested in learning how to better support the mental health of health workers using social media.

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A qualitative exploration of perceived needs and barriers of individuals with schizophrenia, caregivers and clinicians in using mental health applications in Madhya Pradesh, India

Cited by 8 publications

References 46 publications

Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India

Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India

Schizophrenia Assessment, Referral and Awareness Training for Health Auxiliaries (SARATHA): Protocol for a Mixed-Methods Pilot Study in Rural India

Past, present and future impact of social media on health workers’ mental health: a text mining approach

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