Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps

Chandrashekar, Pooja

doi:10.21037/mhealth.2018.03.02

Cited by 291 publications

(206 citation statements)

References 21 publications

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“…21 Furthermore, telemedicine to provide mental health services in remote and inaccessible areas, internet-based and telephone-based helplines, and mental health mobile apps can reduce the burden on existing mental health services. [69][70][71] Communities and families have an important role in addressing mental health by reducing stigma and discrimination, raising awareness, and promoting inclusion. 72,73 Community-based programmes have the poten tial to reduce the treatment gap for mental disorders in India.…”

Section: Discussionmentioning

confidence: 99%

The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017

Sagar¹,

Dandona²,

Gururaj³

et al. 2020

The Lancet Psychiatry

556

292

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Background Mental disorders are among the leading causes of non-fatal disease burden in India, but a systematic understanding of their prevalence, disease burden, and risk factors is not readily available for each state of India. In this report, we describe the prevalence and disease burden of each mental disorder for the states of India, from 1990 to 2017. Methods We used all accessible data from multiple sources to estimate the prevalence of mental disorders, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by these disorders for all the states of India from 1990 to 2017, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We assessed the heterogeneity and time trends of mental disorders across the states of India. We grouped states on the basis of their Socio-demographic Index (SDI), which is a composite measure of per-capita income, mean education, and fertility rate in women younger than 25 years. We also assessed the association of major mental disorders with suicide deaths. We calculated 95% uncertainty intervals (UIs) for the point estimates. Findings In 2017, 197•3 million (95% UI 178•4-216•4) people had mental disorders in India, including 45•7 million (42•4-49•8) with depressive disorders and 44•9 million (41•2-48•9) with anxiety disorders. We found a significant, but modest, correlation between the prevalence of depressive disorders and suicide death rate at the state level for females (r²=0•33, p=0•0009) and males (r²=0•19, p=0•015). The contribution of mental disorders to the total DALYs in India increased from 2•5% (2•0-3•1) in 1990 to 4•7% (3•7-5•6) in 2017. In 2017, depressive disorders contributed the most to the total mental disorders DALYs (33•8%, 29•5-38•5), followed by anxiety disorders (19•0%, 15•9-22•4), idiopathic developmental intellectual disability (IDID; 10•8%, 6•3-15•9), schizophrenia (9•8%, 7•7-12•4), bipolar disorder (6•9%, 4•9-9•6), conduct disorder (5•9%, 4•0-8•1), autism spectrum disorders (3•2%, 2•7-3•8), eating disorders (2•2%, 1•7-2•8), and attention-deficit hyperactivity disorder (ADHD; 0•3%, 0•2-0•5); other mental disorders comprised 8•0% (6•1-10•1) of DALYs. Almost all (>99•9%) of these DALYs were made up of YLDs. The DALY rate point estimates of mental disorders with onset predominantly in childhood and adolescence (IDID, conduct disorder, autism spectrum disorders, and ADHD) were higher in low SDI states than in middle SDI and high SDI states in 2017, whereas the trend was reversed for mental disorders that manifest predominantly during adulthood. Although the prevalence of mental disorders with onset in childhood and adolescence decreased in India from 1990 to 2017, with a stronger decrease in high SDI and middle SDI states than in low SDI states, the prevalence of mental disorders that manifest predominantly during adulthood increased during this period. Interpretation One in seven Indians were affected by mental disorders of varying severity in 2017. The proportional contribution of mental disorders to the t...

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Section: Discussionmentioning

confidence: 99%

The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017

Sagar¹,

Dandona²,

Gururaj³

et al. 2020

The Lancet Psychiatry

556

292

View full text Add to dashboard Cite

show abstract

“…This coupled with the acknowledgement disorders only (N = 403) that 64.5% did not know where to seek help suggests the need for promoting mental health literacy, especially the recognition of signs and symptoms of mental illness and places where they could seek help. Addressing these needs while respecting self-reliance may be possible by creating awareness of evidence-based self-help strategies including sources of e-mental health [34] given that Singapore is a digitally advanced country. Treatment gap varied across disorders; alcohol dependence had the highest treatment gap (97%), while the lowest treatment gap was observed among those with GAD (62.1%).…”

Section: Discussionmentioning

confidence: 99%

“…CIDI organic exclusion rules were applied to all diagnoses. Age of onset of each disorder was collected and classified as adolescent (11-17 years), young (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35), and older (36-68) onset.…”

Section: World Mental Health Composite International Diagnostic Intermentioning

confidence: 99%

Minding the treatment gap: results of the Singapore Mental Health Study

Subramaniam

Abdin

Vaingankar

et al. 2019

Soc Psychiatry Psychiatr Epidemiol

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Purpose To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010. Methods 6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder. Results The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively. Conclusions The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented.

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“…There are multiple potential challenges WISE INTERVENTIONS FOR YOUTH MENTAL HEALTH 35 to this dissemination strategy, including questions regarding WI compliance and youths' motivation to complete interventions fully independently. Nonetheless, certain WIs may potentially offer scientificallyvalidated alternatives to the many untested app-based programs claiming mental health benefits that have proliferated in recent years (Chandrashekar, 2018).…”

Section: Wise Interventions For Youth Mental Health 31mentioning

confidence: 99%

Harnessing Wise Interventions to Advance the Potency and Reach of Youth Mental Health Services

Schleider

Mullarkey

Chacko

2019

Clin Child Fam Psychol Rev

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Despite progress in research on evidence-based treatments (EBTs) for youth psychopathology, many youths with mental health needs do not receive services, and EBTs are not always effective for those who access them. Wise interventions (WIs) may help address needs for more disseminable, potent youth mental health interventions. WIs are single-component, social-psychological interventions designed to foster adaptive meaning-making. They have improved health-related and interpersonal youth outcomes, yet their potential to reduce youth psychopathology has not been systematically explored. Accordingly, we conducted a systematic, descriptive review characterizing WIs' potential to reduce youth mental health problems. Across 25 RCTs (N=9,219 youths, ages 11-19) testing 13 intervention types, 7 WIs qualified as "Well-Established," "Probably Efficacious," or "Possibly Efficacious" for reducing one or more types of youth psychopathology, relative to controls. Among these, 5 WIs significantly reduced youth depressive symptoms; 3, general psychological distress; and 1 each, eating problems, anxiety, and substance use. Three of these 7 WIs were self-administered by youths, and four by trained interventionists; collectively, they were 30-168 minutes in length and targeted clinic-referred and nonreferred samples in clinical, school, and laboratory settings. Overall, certain WIs show promise in reducing mild to severe youth psychopathology. Given their brevity and low cost relative to traditional (i.e. therapist-delivered, 12-to-16 week, clinic-based) EBTs, WIs may represent beneficial additions to the youth mental healthcare ecosystem. Priorities for future research are proposed, including testing WIs for parents, younger children, and externalizing problems; as EBT adjuncts; and in schools and primary care clinics to increase access to brief, effective supports.

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Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps

Cited by 291 publications

References 21 publications

The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017

The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017

Minding the treatment gap: results of the Singapore Mental Health Study

Harnessing Wise Interventions to Advance the Potency and Reach of Youth Mental Health Services

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