Can Mobile Health Improve Depression Treatment Access and Adherence Among Rural Indian Women? A Qualitative Study

Development of a Multiuser Interactive Health Response Application (MITHRA) for depression in women from a community-based organisation in India

BACKGROUND

In India, women in rural areas have high rates of depression. They have poor access to mental healthcare resources and, hence, mental health symptoms remain largely unaddressed. Existing mobile telephone applications (apps) do not engage end-users, lack local language options, may not be socioculturally relevant and do not use audiovisual formats. We thus developed a mobile mental health app, Multiuser Interactive Health Response Application (MITHRA), to screen and provide brief behavioural intervention for mild to moderate depression among rural women attending self-help groups (SHGs) in India.

AIMS

This qualitative study explores the process and findings of focus groups conducted with SHG administrators and women to inform the iterative development of the MITHRA app.

METHOD

In total, 22 participants were interviewed (17 SHG participants and five administrators), and a thematic analysis of the data was conducted using the acceptability of interventions framework.

RESULTS

Frequent themes across the focus groups were affective attitude, burden, self-efficacy and perceived effectiveness. All women showed a positive attitude towards the app and depression interventions, while older women demonstrated less self-efficacy in using mobile mental health apps.

CONCLUSIONS

MITHRA is a promising app in the management of mild to moderate depression in women in SHG. With adequate training and education of family members, MITHRA has the potential to identify and treat women with mild to moderate depression.

A systematic review and qualitative evidence synthesis of factors affecting mHealth adoption in India

mHealth implementations are increasing in low- and middle-income countries to strengthen health systems and improve health outcomes. Following the proliferation of mobile internet use, Indian health systems have deployed mHealth widely. However, there is little evidence that mHealth has improved health outcomes in India across settings and at scale. The aim of this study was to review current evidence on perceptions and experiences of end users of mHealth in India and synthesize qualitative data to determine the factors influencing mHealth use to inform mHealth design, development, and implementation. A systematic review and qualitative synthesis of studies on mHealth in India was conducted by searching the Web of Science, Medline and CINAHL databases for qualitative studies on mHealth users including both health system beneficiaries and healthcare personnel. Findings from the studies were synthesized using thematic synthesis. The synthesis generated the themes of the Environment, the Users and the mHealth system. The data indicate that mHealth use improves when the environment supports its use; when users are motivated and have the ability to use mHealth systems; and when mHealth systems are aligned with the environmental context and fulfill users' needs and desires. mHealth adoption in India can be improved through human centered design and by addressing the disparities in digital literacy between socio economic strata. These approaches are required to close the design reality gaps facing mHealth systems, to improve mHealth implementation for health system strengthening, and therefore, to improve health outcomes in India.

Feasibility and utility of mobile health interventions for depression and anxiety in rural populations: A scoping review

Despite the potential of mobile health (mHealth) to address high rates of depression and anxiety in underserved rural communities, most mHealth interventions do not explicitly consider the realities of rural life. The aim of this scoping review is to identify and examine the available literature on mHealth interventions that consider the needs of rural populations in order to gauge their feasibility and utility for addressing depression and anxiety. Additionally, we provide an overview of rural users' perceptions about and preferences for mHealth-delivered mental health screening and intervention systems. Out of 169 articles identified, 16 met inclusion criteria. Studies were conducted across a wide range of countries, age groups, and rural subpopulations including individuals with bipolar disorder, anxiety, perinatal depression, PTSD, and chronic pain, as well as refugees, veterans, and transgender and LGBTQ+ individuals. All interventions were in the feasibility/acceptability testing stage for rural users. Identified strengths included their simplicity, accessibility, convenience, availability of support between sessions with providers, and remote access to a care team. Weaknesses included problems with charging phone batteries and exceeding data limits, privacy concerns, and general lack of comfort with app-based support. Based upon this review, we provide recommendations for future mHealth intervention development including the value of developer-user coproduction methods, the need to consider user variation in access to and comfort with smartphones, and potential data or connectivity limitations, mental health stigma, and confidentiality concerns in rural communities.

Barriers to mental health treatment in primary care practice in low- and middle-income countries in a post-covid era: A systematic review

General primary care workers and family physicians are a crucial work force in managing the mental health of people in any given region. However, the barriers they face in low- and middle-income countries (LMICs) may be worsened by the pandemic. This review aims to bring together evidence about mental health treatment challenges experienced by people in LMICs in primary care settings. The review focuses on the shortage of essential mental healthcare services, stigma and lack of competent primary care professionals in establishing these services and their importance in the COVID-19 pandemic context. The systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the search strategy included keyword search terms (MeSH) to perform a search across three electronic databases - Critical Appraisal Skills Program assessed PubMed, SpringerLink, and Cochrane and quality of the articles. The articles selected were analyzed through thematic analysis to identify the main themes and conclude our findings. Findings indicate that out of 1792 publications found, 14 studies matched the desired criteria for the studies. Endnotes, database search filters, and Covidence data extraction tools were used to generate the relevant articles in this study. This study shows that primary care institutions have financial and management issues in providing mental health services and a shortage of competent mental health experts in primary care, especially mental health-trained family physicians. The study also identifies community stigma as the most prevalent barrier to seeking mental health therapy, reflecting the lack of community health education in LMICs.

Connected Mental Health Solutions: Global Attitudes, Preferences, and Concerns

Background: Connected mental health (CMH) presents several technology-based solutions, which can help overcome many mental care delivery barriers. However, attitudes toward the use of CMH are diverse and differ from a cohort to another. Objective: The purpose of this study is to investigate the global attitudes toward CMH use and assess the use of technology for mental care. Methods: This study presents a synthesis of literature available in Scopus, Science Direct, and PubMed digital libraries, investigating attitudes toward CMH in different cohorts from different countries, based on a systematic review of relevant publications. This study also analyzes technology use patterns of the cohorts investigated, the reported preferred criteria that should be considered in CMH, and issues and concerns regarding CMH use. Results: One hundred and one publications were selected and analyzed. These publications were originated from different countries, with the majority (n = 23) being conducted in Australia. These studies reported positive attitudes of investigated cohorts toward CMH use and high technology use and ownership. Several preferred criteria were reported, mainly revolving around providing blended care functionalities, educational content, and mental health professionals (MHPs) support. Whereas concerns and issues related to CMH use addressed technical problems related to access to technology and to CMH solutions, the digital divide, lack of knowledge and use of CMH, and general reservations to use CMH. Concerns related to institutional and work barriers were also identified. Conclusions: Attitudes toward CMH show promising results from users and MHP views. However, factors such as providing blended care options and considering technical concerns should be taken into consideration for the successful adoption of CMH.

Community mental health interventions for people with major depressive disorder: A scoping review

People with major depressive disorder continue to be marred by chronically pernicious yet preventable outcomes in the biopsychosocial aspects. With the reallocation of healthcare resources towards the fight against the coronavirus 2019 pandemic, much emphasis has been placed on existing community mental health interventions to ameliorate the disruption of mental health services. Moreover, the recent propulsion of community mental health services by the World Health Organization Mental Health Action Plan 2013-2030 ignited the need to bolster existing community interventions by providing comprehensive, responsive and integrated mental healthcare. The enhanced emphasis on mental healthcare in the community and the heightened demands of people with major depressive disorder underscores the need to explore the current state of community mental health interventions. This scoping review examined 51 primary studies published from year 2010 to 2020 using Arskey & O'Malley's five-stage framework and provided an overview of the impact of existing community mental health interventions for people with major depressive disorder. Findings using thematic analysis have recommended the adoption of person-centred community mental healthcare via the biopsychosocial approach for people with major depressive disorder. Enablers of community mental health interventions were driven by culturally appropriate care and augmented by technology-driven modalities. Challenges and gaps of community mental health interventions include the perpetuation of stigma and misconception, complex demands of persons with major depressive disorder and lack of holistic and long-term outcomes. Given the impact of major depressive disorder on the various biopsychosocial aspects, it is envisioned that our insights into the enablers and barriers of community mental health interventions will guide prospective interdisciplinary and nurse-led interventions in holistically improving the care of persons with major depressive disorder in the community settings.

Dynamics of Married Women’s Mobile Phone Access and Use in India: Insights From a Secondary Analysis of a Postpartum mHealth Intervention Pilot in Punjab (Preprint)

Background

As mobile phone uptake in India continues to grow, there is also continued interest in mobile platform–based interventions for health education. There is a significant gender gap in mobile phone access—women’s access to mobile phones is constrained by economic and social barriers. Pregnancy and postpartum care is one of many targets for mobile health (mHealth) interventions that particularly rely upon women’s access to and facility with mobile phone use.

Objective

We aimed to describe the dynamics and patterns of married pregnant and postpartum women’s mobile phone access and use (among both phone owners and nonowners) who participated in an mHealth postpartum care intervention and to identify potential barriers to their participation in mobile platform–based interventions.

Methods

A secondary analysis was performed on mixed methods data obtained for a pilot mHealth intervention for postpartum care of mothers in rural Punjab from July 2020 to February 2021. Two formative sources included exploratory in-depth interviews among postpartum women (n=20; 1-3 months postpartum) and quantitative maternal health survey among women who were pregnant or who had recently given birth (n=102). We also utilized mixed methods intervention assessment data from early postpartum women who participated in the pilot intervention (n=29), including intervention moderator perspectives. Qualitative and quantitative analyses were performed, and pertinent findings were grouped thematically.

Results

The majority of women owned a phone (maternal health survey: 75/102, 74%; demographic survey: 17/29, 59%), though approximately half (53/102, 52%) still reported sharing phones with other family members. Sharing a phone with female family members typically allowed for better access than sharing with male family members. Some households had strict preferences against daughters-in-law having phones, or otherwise significantly restricted women’s phone access. Others reported concerns about phone use–related health hazards for mother and infant during the pregnancy or postpartum period.

Conclusions

These findings suggest nuance regarding what is meant by women’s phone ownership and access—there were numerous additional constraints on women’s use of phones, particularly during pregnancy and the postpartum period. Future research and mHealth interventions should probe these domains to better understand the dynamics governing women’s access, use, and fluency with mobile phones to optimally design mHealth interventions.

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

BACKGROUND

Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assessed feasibility and acceptability of the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) platform. The StandStrong passive data collection platform was piloted with adolescent and young mothers, including mothers experiencing postpartum depression, in Nepal.

METHODS

Mothers (15-25 years old) with infants (< 12 months old) were recruited in person from vaccination clinics in rural Nepal. They were provided with an Android smartphone and a Bluetooth beacon to collect data in four domains: the mother's location using the Global Positioning System (GPS), physical activity using the phone's accelerometer, auditory environment using episodic audio recording on the phone, and mother-infant proximity measured with the Bluetooth beacon attached to the infant's clothing. Feasibility and acceptability were evaluated based on the amount of passive sensing data collected compared to the total amount that could be collected in a 2-week period. Endline qualitative interviews were conducted to understand mothers' experiences and perceptions of passive data collection.

RESULTS

Of the 782 women approached, 320 met eligibility criteria and 38 mothers (11 depressed, 27 non-depressed) were enrolled. 38 mothers (11 depressed, 27 non-depressed) were enrolled. Across all participants, 5,579 of the hour-long data collection windows had at least one audio recording [mean (M) = 57.4% of the total possible hour-long recording windows per participant; median (Mdn) = 62.6%], 5,001 activity readings (M = 50.6%; Mdn = 63.2%), 4,168 proximity readings (M = 41.1%; Mdn = 47.6%), and 3,482 GPS readings (M = 35.4%; Mdn = 39.2%). Feasibility challenges were phone battery charging, data usage exceeding prepaid limits, and burden of carrying mobile phones. Acceptability challenges were privacy concerns and lack of family involvement. Overall, families' understanding of passive sensing and families' awareness of potential benefits to mothers and infants were the major modifiable factors increasing acceptability and reducing gaps in data collection.

CONCLUSION

Per sensor type, approximately half of the hour-long collection windows had at least one reading. Feasibility challenges for passive sensing on mobile devices can be addressed by providing alternative phone charging options, reverse billing for the app, and replacing mobile phones with smartwatches. Enhancing acceptability will require greater family involvement and improved communication regarding benefits of passive sensing for psychological interventions and other health services. Registration International Registered Report Identifier (IRRID): DERR1-10.2196/14734.

Risk factors for severity of depression in participants with chronic medical conditions in rural primary health care settings in India

Background

Depression and chronic medical disorders are strongly linked. There are limited studies addressing the correlates of the severity of depression in patients with co-morbid disorders in primary care settings. This study aimed to identify the socio-demographic and disease-specific risk factors associated with the severity of depression at baseline among patients participating in a randomized controlled trial (HOPE study).

Methods

Participants were part of a randomized controlled trial in 49 primary care health centers in rural India. We included adults (≥ 30 years) with at least mild Depression or Anxiety Disorder and at least one Cardiovascular disorder or Type 2 Diabetes mellitus. They were assessed for the severity of depression using the PHQ-9, severity of anxiety, social support, number of co-morbid chronic medical illnesses, anthropometric measurements, HbA1c, and lipid profile.

Results

Proportionately there were more women in the moderate category of depression than men. Ordinal logistic regression showed co-morbid anxiety and a lower level of education significantly increased the odds of more severe depression, while more social support was significantly negatively associated with depression severity in women. In men, anxiety was positively associated with greater depression severity; while reporting more social support was negatively associated with depression.

Limitations

This is a cross-sectional study and thus, no causal conclusions are possible.

Conclusions

Anxiety and poor social support in both genders and lower educational levels in women were associated with increased severity of depression. Early identification of risk factors and appropriate treatment at a primary care setting may help in reducing the morbidity and mortality associated with depression.