Digital mental health in schizophrenia and other severe mental illness: an international consensus on current challenges and potential solutions

Background: Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly in schizophrenia and severe mental illness (SMI). Objectives: An international multidisciplinary group was convened to reach consensus on the challenges and potential solutions in collecting data, delivering treatment and the ethical challenges in digital mental health approaches in schizophrenia and SMI. Methods: The consensus development panel method was used, with an in-person meeting of two groups: the expert group and the panel. Membership was multidisciplinary, including those with lived experience with equal participation at all stages, and co-production of the consensus outputs and summary. Relevant literature was shared in advance of the meeting and a systematic search of the recent literature on digital mental health interventions in schizophrenia and psychosis was completed to ensure the panel was informed before the meeting with the expert group. Results: Four broad areas of challenge and proposed solutions were identified: (i) user involvement for real coproduction, (ii) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies and mechanistic research (iii) regulation and funding issues (iv) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, social and population-focussed approaches). Examples are provided with more detail on human-centred research design, lived experience perspectives and biomedical ethics in digital mental health approaches in SMI. Conclusions: The consensus agreed on a number of recommendations: (i) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols) (ii) equal emphasis on social and population research as well as biological and psychological approaches (iii) meaningful collaborations across varied disciplines that have previously not worked closely together (iv) increased focus on the business model and product with planning and new funding structures across the whole development pathway (v) increased focus and reporting on ethical issues and potential harms (vi) organisational changes to allow true communication and coproduction with those with lived experience of SMI. This approach, combining an international expert meeting with PPIE (patient and public involvement and engagement) throughout the process, consensus methodology, discussion, and publication, is a helpful way to identify directions for future research and clinical implementation in rapidly evolving areas, and can be combined with measurements of real-world clinical impact over time. Similar initiatives will be helpful in other areas of digital mental health and similarly fast-evolving fields, to focus research and organisational change and effect improved real-world clinical implementation

Internet use by older adults with bipolar disorder: international survey results

Background: The world population is aging and the number of older adults with bipolar disorder is increasing. Digital technologies are viewed as a framework to improve care of older adults with bipolar disorder. This analysis quantifies Internet use by older adults with bipolar disorder as part of a larger survey project about information seeking. Methods: A paper-based survey about information seeking by patients with bipolar disorder was developed and translated into 12 languages. The survey was anonymous and completed between March 2014 and January 2016 by 1222 patients in 17 countries. All patients were diagnosed by a psychiatrist. General estimating equations were used to account for correlated data. Results: Overall, 47% of older adults (age 60 years or older) used the Internet versus 87% of younger adults (less than 60 years). More education and having symptoms that interfered with regular activities increased the odds of using the Internet, while being age 60 years or older decreased the odds. Data from 187 older adults and 1021 younger adults were included in the analysis excluding missing values. Conclusions: Older adults with bipolar disorder use the Internet much less frequently than younger adults. Many older adults do not use the Internet, and technology tools are suitable for some but not all older adults. As more health services are only available online, and more digital tools are developed, there is concern about growing health disparities based on age. Mental health experts should participate in determining the appropriate role for digital tools for older adults with bipolar disorder

Association between naturally occurring lithium in drinking water and suicide rates: systematic review and meta-analysis of ecological studies

Background The prevalence of mental health conditions and national suicide rates are increasing in many countries. Lithium is widely and effectively used in pharmacological doses for the treatment and prevention of manic/depressive episodes, stabilising mood and reducing the risk of suicide. Since the 1990s, several ecological studies have tested the hypothesis that trace doses of naturally occurring lithium in drinking water may have a protective effect against suicide in the general population. Aims To synthesise the global evidence on the association between lithium levels in drinking water and suicide mortality rates. Method The MEDLINE, Embase, Web of Science and PsycINFO databases were searched to identify eligible ecological studies published between 1 January 1946 and 10 September 2018. Standardised regression coefficients for total (i.e. both genders combined), male and female suicide mortality rates were extracted and pooled using random-effects meta-analysis. The study was registered with PROSPERO (CRD42016041375). Results The literature search identified 415 articles; of these, 15 ecological studies were included in the synthesis. The random-effects meta-analysis showed a consistent protective (or inverse) association between lithium levels/concentration in publicly available drinking water and total (pooled β = −0.27, 95% CI −0.47 to −0.08; P = 0.006, I2 = 83.3%), male (pooled β = −0.26, 95% CI −0.56 to 0.03; P = 0.08, I2 = 91.9%) and female (pooled β = −0.13, 95% CI −0.24 to −0.02; P = 0.03, I2 = 28.5%) suicide mortality rates. A similar protective association was observed in the six studies included in the narrative synthesis, and subgroup meta-analyses based on the higher/lower suicide mortality rates and lithium levels/concentration. Conclusions This synthesis of ecological studies, which are subject to the ecological fallacy/bias, supports the hypothesis that there is a protective (or inverse) association between lithium intakes from public drinking water and suicide mortality at the population level. Naturally occurring lithium in drinking water may have the potential to reduce the risk of suicide and may possibly help in mood stabilisation, particularly in populations with relatively high suicide rates and geographical areas with a greater range of lithium concentration in the drinking water. All the available evidence suggests that randomised community trials of lithium supplementation of the water supply might be a means of testing the hypothesis, particularly in communities (or settings) with demonstrated high prevalence of mental health conditions, violent criminal behaviour, chronic substance misuse and risk of suicide

Behavioural biomarkers and mobile mental health: a new paradigm

Over recent decades, the field of psychiatry has allocated a vast amount of resources and efforts to make available more accurate and objective methods to diagnose, assess and monitor treatment outcomes in psychiatric disorders. Despite the optimism and some significant progress in biological markers, it has become increasingly evident that they are failing to meet initial expectations due to their lack of specificity, inconsistent reliability and limited availability. On the other hand, there is an increasingly emerging evidence of mobile technologies' feasibility to measure mental illness activity. Moreover, taking into account its widespread use, availability and potential to capture behavioural markers, mobile-connected technologies could be strong candidates to fill and complement-at least at some degree-the gaps that biological markers couldn't. This represents an especially interesting opportunity to reform our current diagnostic system using a bottom-up research methodology based on digital and biological markers data instead of the classical traditional top-down approach. Therefore, the field might benefit of further exploring this promising -and increasingly evidence-based- pathway as well as other auspicious alternatives in order to attain a more holistic and integrative approach in research, which could ultimately impact real-world clinical practice

Duration of untreated illness and bipolar disorder: time for a new definition? Results from a cross-sectional study

Background: We primarily aimed to explore the associations between duration of untreated illness (DUI), treatment response, and functioning in a cohort of patients with bipolar disorder (BD). Methods: 261 participants with BD were recruited. DUI was defined as months from the first affective episode to the start of a mood-stabilizer. The functioning assessment short test (FAST) scores and treatment response scores for lithium, valproate, or lamotrigine according to the Alda Scale Total Score (TS) were compared between patients with short (<24 months) or long DUI. Differences in FAST scores among good (GR; TS≥7), poor (PR; TS=2-6), or non-responders (NR; TS<2) to each mood-stabilizer were analyzed. Linear regression was computed using the FAST global score as the dependent variable. Results: DUI and FAST scores showed no statistically significant correlation. Patients with a longer DUI showed poorer response to lithium (Z=-3.196; p<0.001), but not to valproate or lamotrigine. Response to lithium (β=-1.814; p<0.001), number of hospitalizations (β=0.237; p<0.001), and illness duration (β=0.160; p=0.028) were associated with FAST total scores. GR to lithium was associated with better global functioning compared to PR or NR [H=27.631; p<0.001]. Limitations: The retrospective design could expose our data to a recall bias. Also, only few patients were on valproate or lamotrigine treatment. Conclusions: Poor functioning in BD could be the result of multiple affective relapses, rather than a direct effect of DUI. A timely diagnosis with subsequent effective prophylactic treatment, such as lithium, may prevent poor functional outcomes in real-world patients with BD

Course of residual symptoms according to the duration of euthymia in remitted bipolar patients

International audienceObjective: Although many studies showed the negative impact of residual symptoms on the course of bipolar disorder (BD), there is a need to examine potential differences in residual symptoms according to the duration of euthymia in remitted BD patients.Method: This was a large cross‐sectional study of 525 euthymic BD out‐patients. A multivariate analysis of covariance was conducted to compare depressive and manic residual symptoms, sleep disturbances and cognitive complaints among three patient groups on the basis of duration of euthymia (A. 6 months to <1 year; B. 1 year to <3 years; C. 3 years to ≤5 years).Results: A significant difference between the three groups was found in residual symptoms [Pillai's Trace: F(8942) = 4.659, P < 0.001]. Tukey post hoc analysis indicated that patients from Group C presented lower residual depressive symptoms, higher sleep quality and better perceived cognitive performance compared with Group A. Group B also presented better sleep and cognitive outcomes than Group A. In addition, Group C showed the lowest incidence of functional impairment.Conclusion: This study suggests that the intensity of residual symptoms and functional impairment in remitted BD patients is negatively related to the duration of euthymia

Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder

Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42–13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48–6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone