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Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America Affiliations London School of Hygiene & Tropical Medicine, London, United Kingdom, Public Health Foundation of India, National Capital Region of New Delhi, India, Sangath, Goa, Porvorim, India ORCID http://orcid.org/0000-0003-1066-8584Citation: Patel V (2017) Talking sensibly about depression. Summary points * Depression is the leading mental health-related cause of the global burden of disease and is the focus of World Health Day 2017. * Despite robust evidence of the effectiveness of interventions ranging from self-care to clinical interventions, the vast majority of people with depressive symptoms do not receive any care. * The majority of persons meeting the binary diagnostic criteria for depression have mild to moderate symptoms that most often do not need clinical interventions. * A staged model, from wellness to distress to disorder, offers a hybrid between binary and dimensional approaches to classifying depressive symptoms, with specific interventions delivered through distinct delivery platforms addressing each stage. * Such a staged approach is likely to be more efficient and acceptable to diverse audiences (from the general population to policy makers and practitioners) and provides the basis for these audiences to talk with one voice about this condition. [...]some commentators view the discourse on the global burden of depression and the treatment gap as a culturally insensitive plot to export a failed psychiatric model to unsuspecting developing countries and a ploy to expand markets for pharmaceutical companies [3]. [...]given there is no obvious point in...

The requires a paradigm shift from a medical model of disability to a social model that emphasizes overcoming the barriers to equality created by attitudes, laws, government policies and the social, economic and political environment. The approach adopted by the social model recognizes that people with psychosocial disabilities have the same right to take decisions and make choices as other people, particularly regarding treatment, and have the right to equal recognition before the law. Consequently, direct or supported decision-making should be the norm and there should be no substitute decision-making. Although recent mental health laws in some countries have attempted to realize a rights-based approach to decision-making by reducing coercion, implementing the can be challenging because it requires continuous refinement and the development of alternatives to coercion. This article reviews the impact historical trends and current mental health frameworks have had on the rights affected by the practice of involuntary treatment and describes some legal and organizational initiatives that have been undertaken to promote noncoercive services and supported decision-making. The evidence and examples presented could provide the foundation for developing a context-appropriate approach to implementing supported decision-making in mental health care.

The burden of mental, neurological, and substance use (MNS) disorders increased by 41% between 1990 and 2010 and now accounts for one in every 10 lost years of health globally. This sobering statistic does not take into account the substantial excess mortality associated with these disorders or the social and economic consequences of MNS disorders on affected persons, their caregivers, and society. A wide variety of effective interventions, including drugs, psychological treatments, and social interventions, can prevent and treat MNS disorders. At the population-level platform of service delivery, best practices include legislative measures to restrict access to means of self-harm or suicide and to reduce the availability of and demand for alcohol. At the community-level platform, best practices include life-skills training in schools to build social and emotional competencies. At the health-care-level platform, we identify three delivery channels. Two of these delivery channels are especially relevant from a public health perspective: self-management (eg, web-based psychological therapy for depression and anxiety disorders) and primary care and community outreach (eg, non-specialist health worker delivering psychological and pharmacological management of selected disorders). The third delivery channel, hospital care, which includes specialist services for MNS disorders and first-level hospitals providing other types of services (such as general medicine, HIV, or paediatric care), play an important part for a smaller proportion of cases with severe, refractory, or emergency presentations and for the integration of mental health care in other health-care channels, respectively. The costs of providing a significantly scaled up package of specified cost-effective interventions for prioritised MNS disorders in low-income and lower-middle-income countries is estimated at US$3–4 per head of population per year. Since a substantial proportion of MNS disorders run a chronic and disabling course and adversely affect household welfare, intervention costs should largely be met by government through increased resource allocation and financial protection measures (rather than leaving households to pay out-of-pocket). Moreover, a policy of moving towards universal public finance can also be expected to lead to a far more equitable allocation of public health resources across income groups. Despite this evidence, less than 1% of development assistance for health and government spending on health in low-income and middle-income countries is allocated to the care of people with these disorders. Achieving the health gains associated with prioritised interventions will require not just financial resources, but committed and sustained efforts to address a range of other barriers (such as paucity of human resources, weak governance, and stigma). Ultimately, the goal is to massively increase opportunities for people with MNS disorders to access services without the prospect of discrimination or impoverishment and with the hope of attaining optimal health and social outcomes.

In an analysis of data from the Creditor Reporting System, Chunling Lu and colleagues investigate the level of development assistance from high-income countries towards child and adolescent mental health in low- and middle-income countries.

Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers. We searched for all controlled trials of mobile technology-based health interventions delivered to health care consumers using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and used random effects meta-analysis. We identified 75 trials. Fifty-nine trials investigated the use of mobile technologies to improve disease management and 26 trials investigated their use to change health behaviours. Nearly all trials were conducted in high-income countries. Four trials had a low risk of bias. Two trials of disease management had low risk of bias; in one, antiretroviral (ART) adherence, use of text messages reduced high viral load (>400 copies), with a relative risk (RR) of 0.85 (95% CI 0.72-0.99), but no statistically significant benefit on mortality (RR 0.79 [95% CI 0.47-1.32]). In a second, a PDA based intervention increased scores for perceived self care agency in lung transplant patients. Two trials of health behaviour management had low risk of bias. The pooled effect of text messaging smoking cessation support on biochemically verified smoking cessation was (RR 2.16 [95% CI 1.77-2.62]). Interventions for other conditions showed suggestive benefits in some cases, but the results were not consistent. No evidence of publication bias was demonstrated on visual or statistical examination of the funnel plots for either disease management or health behaviours. To address the limitation of the older search, we also reviewed more recent literature. Text messaging interventions increased adherence to ART and smoking cessation and should be considered for inclusion in services. Although there is suggestive evidence of benefit in some other areas, high quality adequately powered trials of optimised interventions are required to evaluate effects on objective outcomes.

In a Perspective article, Vikram Patel and Graham Thornicroft introduce a new series in PLoS Medicine on mental health disorders in low- and middle-income countries that reviews the evidence for packages of care for ADHD, alcohol misuse disorders, dementia, depression, epilepsy, and schizophrenia.

[...]depression is a heterogeneous entity experienced with various combinations of signs and symptoms, severity levels, and longitudinal trajectories. [...]core features of the condition have been described over thousands of years, long before the advent of contemporary classifications, and in diverse communities and cultures. More efficient prevention of depression is likely to have powerful impacts on the Sustainable Development Goals for a country and the health of individuals and families. 5 The experiences of depression and recovery are unique for each individual Depression is the result of a set of factors, typically the interaction of proximal adversities with genetic, social, environmental, and developmental risk and resilience factors. Empowering individuals, families, and communities to work with professionals who can learn from their experiences and help demand the implementation of known preventive and therapeutic strategies and to hold health-care systems and decision makers accountable is vital. 7 A formulation is needed to personalise care Detection and diagnosis of depression on the basis of symptoms, function, and duration should be accompanied by a clinical review or formulation for each person, which takes into account individual values and preferences, life stories, and circumstances.

Mobile health interventions could have beneficial effects on health care delivery processes. We aimed to conduct a systematic review of controlled trials of mobile technology interventions to improve health care delivery processes. We searched for all controlled trials of mobile technology based health interventions using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors independently extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and we used random effects meta-analysis to give pooled estimates. We identified 42 trials. None of the trials had low risk of bias. Seven trials of health care provider support reported 25 outcomes regarding appropriate disease management, of which 11 showed statistically significant benefits. One trial reported a statistically significant improvement in nurse/surgeon communication using mobile phones. Two trials reported statistically significant reductions in correct diagnoses using mobile technology photos compared to gold standard. The pooled effect on appointment attendance using text message (short message service or SMS) reminders versus no reminder was increased, with a relative risk (RR) of 1.06 (95% CI 1.05-1.07, I(2) = 6%). The pooled effects on the number of cancelled appointments was not significantly increased RR 1.08 (95% CI 0.89-1.30). There was no difference in attendance using SMS reminders versus other reminders (RR 0.98, 95% CI 0.94-1.02, respectively). To address the limitation of the older search, we also reviewed more recent literature. The results for health care provider support interventions on diagnosis and management outcomes are generally consistent with modest benefits. Trials using mobile technology-based photos reported reductions in correct diagnoses when compared to the gold standard. SMS appointment reminders have modest benefits and may be appropriate for implementation. High quality trials measuring clinical outcomes are needed. Please see later in the article for the Editors' Summary.

Background There is a large treatment gap for common mental disorders (CMD), with wide variation by world region. This review identifies factors associated with formal health service utilisation for CMD in the general adult population, and compares evidence from high-income countries (HIC) with that from low-and-middle-income countries (LMIC). Methods We searched MEDLINE, PsycINFO, EMBASE and Scopus in May 2016. Eligibility criteria were: published in English, in peer-reviewed journals; using population-based samples; employing standardised CMD measures; measuring use of formal health services for mental health reasons by people with CMD; testing the association between this outcome and any other factor(s). Risk of bias was assessed using the adapted Mixed Methods Appraisal Tool. We synthesised the results using “best fit framework synthesis”, with reference to the Andersen socio-behavioural model. Results Fifty two studies met inclusion criteria. 46 (88%) were from HIC. Predisposing factors: There was evidence linking increased likelihood of service use with female gender; Caucasian ethnicity; higher education levels; and being unmarried; although this was not consistent across all studies. Need factors: There was consistent evidence of an association between service utilisation and self-evaluated health status; duration of symptoms; disability; comorbidity; and panic symptoms. Associations with symptom severity were frequently but less consistently reported. Enabling factors: The evidence did not support an association with income or rural residence. Inconsistent evidence was found for associations between unemployment or having health insurance and use of services. There was a lack of research from LMIC and on contextual level factors. Conclusion In HIC, failure to seek treatment for CMD is associated with less disabling symptoms and lack of perceived need for healthcare, consistent with suggestions that “treatment gap” statistics over-estimate unmet need for care as perceived by the target population. Economic factors and urban/rural residence appear to have little effect on treatment-seeking rates. Strategies to address potential healthcare inequities for men, ethnic minorities, the young and the elderly in HIC require further evaluation. The generalisability of these findings beyond HIC is limited. Future research should examine factors associated with health service utilisation for CMD in LMIC, and the effect of health systems and neighbourhood factors. Trial registration PROSPERO registration number: 42016046551 .