Cross cultural and global uses of a digital mental health app: results of focus groups with clinicians, patients and family members in India and the United States

Elena Rodriguez-Villa, Abhijit R Rozatkar, Mohit Kumar, Vikram Patel, Ameya Bondre, Shalini S Naik, Siddharth Dutt, Urvakhsh M Mehta, Srilakshmi Nagendra, Deepak Tugnawat, Ritu Shrivastava, Harikeerthan Raghuram, Azaz Khan, John A Naslund, Snehil Gupta, Anant Bhan, Jagadisha Thirthall, Prabhat K Chand, Tanvi Lakhtakia, Matcheri Keshavan, John Torous, Elena Rodriguez-Villa, Abhijit R Rozatkar, Mohit Kumar, Vikram Patel, Ameya Bondre, Shalini S Naik, Siddharth Dutt, Urvakhsh M Mehta, Srilakshmi Nagendra, Deepak Tugnawat, Ritu Shrivastava, Harikeerthan Raghuram, Azaz Khan, John A Naslund, Snehil Gupta, Anant Bhan, Jagadisha Thirthall, Prabhat K Chand, Tanvi Lakhtakia, Matcheri Keshavan, John Torous

Abstract

Background: Despite significant advancements in healthcare technology, digital health solutions - especially those for serious mental illnesses - continue to fall short of their potential across both clinical practice and efficacy. The utility and impact of medicine, including digital medicine, hinges on relationships, trust, and engagement, particularly in the field of mental health. This paper details results from Phase 1 of a two-part study that seeks to engage people with schizophrenia, their family members, and clinicians in co-designing a digital mental health platform for use across different cultures and contexts in the United States and India.

Methods: Each site interviewed a mix of clinicians, patients, and their family members in focus groups (n = 20) of two to six participants. Open-ended questions and discussions inquired about their own smartphone use and, after a demonstration of the mindLAMP platform, specific feedback on the app's utility, design, and functionality.

Results: Our results based on thematic analysis indicate three common themes: increased use and interest in technology during coronavirus disease 2019 (COVID-19), concerns over how data are used and shared, and a desire for concurrent human interaction to support app engagement.

Conclusion: People with schizophrenia, their family members, and clinicians are open to integrating technology into treatment to better understand their condition and help inform treatment. However, app engagement is dependent on technology that is complementary - not substitutive - of therapeutic care from a clinician.

Keywords: digital health; global health; informatics; mental health; mhealth; smartphone apps.

Conflict of interest statement

None.

© The Author(s) 2021.

Figures

Fig. 1.
Fig. 1.
A visual overview of select portions of the mindLAMP app; (a) the Feed displays upcoming tasks and reminders; (b) the app is divided into Learn, Assess, Manage, and Prevent sections, each containing a different set of activities; (c) the Prevent section displays a simplified visual overview of data; (d) when a data tile is tapped, a detailed view of each data point is presented, along with a simplified textual interpretation of the chart; (e–h) the Assess section presents surveys of varying length, such as the Social survey in this example, with modifiable questions and answer choices.
Fig. 2.
Fig. 2.
A total of 25 individuals with mental illness and 20 mental health care providers participated in interviews and focus groups at the BIDMC. All participants completed their interview or focus group. They were not contacted for follow-up.

References

    1. Allan S, Bradstreet S, Mcleod H, Farhall J, Lambrou M, Gleeson J, Clark A, Gumley A and EMPOWER Group (2019) Developing a hypothetical implementation framework of expectations for monitoring early signs of psychosis relapse using a mobile app: qualitative study. Journal of Medical Internet Research 21, e14366.
    1. Berry N, Bucci S and Lobban F (2017) Use of the internet and mobile phones for self-management of severe mental health problems: qualitative study of staff views. JMIR Mental Health 4, e52.
    1. Berry N, Machin M, Ainsworth J, Berry K, Edge D, Haddock G, Lewis S, Morris R and Bucci S (2020) Developing a theory-informed smartphone app for early psychosis: learning points from a multidisciplinary collaboration. Frontiers in Psychiatry 11.
    1. Bird KA, Castleman BL, Denning JT, Goodman J, Lamberton C and Rosinger KO (2021) Nudging at scale: experimental evidence from FAFSA completion campaigns. Journal of Economic Behavior and Organization 183, 105–128.
    1. Braun V and Clarke V (2021) To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health 13, 201–216.
    1. Bucci S, Berry N, Morris R, Berry K, Haddock G, Lewis S and Edge D (2019) They are not hard-to-reach clients. We have just got hard-to-reach services. Staff views of digital health tools in specialist mental health services. Frontiers in Psychiatry 10, 344.
    1. Connolly SL, Hogan TP, Shimada SL and Miller CJ (2020) Leveraging implementation science to understand factors influencing sustained use of mental health apps: a narrative review. Journal of Technology in Behavioral Science 1–13.
    1. Gumley A, Bradstreet S, Allan S, Farhall J, Gleeson J, Machin M and Lambrou M (2018) Implementation of a digital software system for recovery from psychosis early signs. Early Intervention in Psychiatry, vol. 12. Hoboken, NJ, USA: WILEY, pp. 31–31.
    1. Hasson-Ohayon I and Lysaker PH (2020) Special challenges in psychotherapy continuation and adaption for persons with schizophrenia in the age of coronavirus (COVID-19). Counselling Psychology Quarterly 1–9.
    1. Inkster B (2021) Early warning signs of a mental health tsunami: a coordinated response to gather initial data insights from multiple digital services providers. Frontiers in Digital Health 2, 64.
    1. Kokane A, Pakhare A, Gururaj G, Varghese M, Benegal V, Rao GN, Arvind B, Shukla M, Mitra A, Yadav K and Chatterji R (2019) Mental health issues in Madhya Pradesh: insights from National Mental Health Survey of India 2016. In Healthcare, vol. 7, no. 2. Basel, Switzerland: Multidisciplinary Digital Publishing Institute, p. 53.
    1. Kola L, Abiona D, Adefolarin AO and Ben-Zeev D (2021) Mobile phone use and acceptability for the delivery of mental health information among perinatal adolescents in Nigeria: survey study. JMIR Mental Health 8, e20314.
    1. Krendl AC and Pescosolido BA (2020) Countries and cultural differences in the stigma of mental illness: the east–west divide. Journal of Cross-Cultural Psychology 51, 149–167.
    1. Kuehn BM (2020) Global mental health services are collapsing as demand grows. JAMA 324, 1933–1933.
    1. Lagan S, Camacho E and Torous J (2020a) Is there a clinically relevant, publicly accessible app for that? Exploring the clinical relevance and availability of mobile apps for schizophrenia and psychosis. Schizophrenia Research 230, 98–99.
    1. Lagan S, Ramakrishnan A, Lamont E, Ramakrishnan A, Frye M and Torous J (2020b) Digital health developments and drawbacks: a review and analysis of top-returned apps for bipolar disorder. International Journal of Bipolar Disorders 8, 1–8.
    1. Lattie EG, Nicholas J, Knapp AA, Skerl JJ, Kaiser SM and Mohr DC (2020) Opportunities for and tensions surrounding the use of technology-enabled mental health services in community mental health care. Administration and Policy in Mental Health and Mental Health Services Research 47, 138–149.
    1. Leung R, Hastings JF, Keefe RH, Brownstein-Evans C, Chan KT and Mullick R (2016) Building mobile apps for underrepresented mental health care consumers: a grounded theory approach. Social Work in Mental Health 14, 625–636.
    1. Lindberg S (2017) Wickedness in design of e-health systems for people diagnosed with schizophrenia. In Scandinavian Conference on Information Systems. Cham: Springer, pp. 125–139.
    1. Maguire PA and Looi JC (2020) COVID-19 telehealth challenges for patients with schizophrenia and other psychoses. Australian and New Zealand Journal of Psychiatry. doi: 10.1177/0004867420968887
    1. Maharjan SM, Poudyal A, van Heerden A, Byanjankar P, Thapa A, Islam C, Kohrt BA and Hagaman A (2021) Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability. BMC Medical Informatics and Decision Making 21, 1–19.
    1. Maulik PK, Kallakuri S, Devarapalli S, Vadlamani VK, Jha V and Patel A (2017) Increasing use of mental health services in remote areas using mobile technology: a pre–post evaluation of the SMART mental health project in rural India. Journal of Global Health 7.
    1. Merchant R, Torous J, Rodriguez-Villa E and Naslund JA (2020) Digital technology for management of severe mental disorders in low-income and middle-income countries. Current Opinion in Psychiatry 33, 501–507.
    1. Muke SS, Tugnawat D, Joshi U, Anand A, Khan A, Shrivastava R, Singh A, Restivo JL, Bhan A, Patel V and Naslund JA (2020) Digital training for non-specialist health workers to deliver a brief psychological treatment for depression in primary care in India: findings from a randomized pilot study. International Journal of Environmental Research and Public Health 17, 6368.
    1. Naslund JA, Shidhaye R and Patel V (2019) Digital technology for building capacity of non-specialist health workers for task-sharing and scaling up mental health care globally. Harvard Review of Psychiatry 27, 181.
    1. Nebeker C, Bartlett Ellis RJ and Torous J (2020) Development of a decision-making checklist tool to support technology selection in digital health research. Translational Behavioral Medicine 10, 1004–1015.
    1. Powell AC, Yue Z, Shan C and Torous JB (2019) The monetization strategies of apps for anxiety management: an international comparison. Journal of Technology in Behavioral Science 4, 67–72.
    1. Realpe A, Elahi F, Bucci S, Birchwood M, Vlaev I, Taylor D and Thompson A (2020) Co-designing a virtual world with young people to deliver social cognition therapy in early psychosis. Early Intervention in Psychiatry 14, 37–43.
    1. Ridley M, Rao G, Schilbach F and Patel V (2020) Poverty, depression, and anxiety: causal evidence and mechanisms. Science 370, 6522.
    1. Rodriguez-Villa E, Mehta UM, Naslund J, Tugnawat D, Gupta S, Thirthalli J, Bhan A, Patel V, Chand PK, Rozatkar A and Keshavan M (2021) Smartphone health assessment for relapse prevention (SHARP): a digital solution toward global mental health–Corrigendum. BJPsych Open 7.
    1. Saldaña J (2021) The Coding Manual for Qualitative Researchers. Sage Publications Limited.
    1. Tong A, Sainsbury P and Craig J (2007) Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care 19, 349–357.
    1. Torous J and Roberts LW (2017) Needed innovation in digital health and smartphone applications for mental health: transparency and trust. JAMA Psychiatry 74, 437–438.
    1. Torous J and Vaidyam A (2020) Multiple uses of app instead of using multiple apps – a case for rethinking the digital health technology toolbox. Epidemiology and Psychiatric Sciences 29.
    1. Torous J and Wykes T (2020) Opportunities from the coronavirus disease 2019 pandemic for transforming psychiatric care with telehealth. JAMA Psychiatry 77, 1205–1206.
    1. Torous J, Wisniewski H, Bird B, Carpenter E, David G, Elejalde E, Fulford D, Guimond S, Hays R, Henson P and Hoffman L (2019) Creating a digital health smartphone app and digital phenotyping platform for mental health and diverse healthcare needs: an interdisciplinary and collaborative approach. Journal of Technology in Behavioral Science 4, 73–85.
    1. Turner BA (1981) Some practical aspects of qualitative data analysis: one way of organising the cognitive processes associated with the generation of grounded theory. Quality and Quantity 15, 225–247.
    1. van Zelst C (2009) Stigmatization as an environmental risk in schizophrenia: a user perspective. Schizophrenia Bulletin 35, 293–296.
    1. Yin M, Li Z and Zhou C (2020) Experience of stigma among family members of people with severe mental illness: a qualitative systematic review. International Journal of Mental Health Nursing 29, 141–160.

Source: PubMed

3
Suscribir