Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration.

There is an increasing desire to study neurodevelopmental disorders (NDDs) together to understand commonalities to develop generic health promotion strategies and improve clinical treatment. Common data elements (CDEs) collected across studies involving children with NDDs afford an opportunity to answer clinically meaningful questions. We undertook a retrospective, secondary analysis of data pertaining to sleep in children with different NDDs collected through various research studies. The objective of this paper is to share lessons learned for data management, collation, and harmonization from a sleep study in children within and across NDDs from large, collaborative research networks in the Ontario Brain Institute (OBI). Three collaborative research networks contributed demographic data and data pertaining to sleep, internalizing symptoms, health-related quality of life, and severity of disorder for children with six different NDDs: autism spectrum disorder; attention deficit/hyperactivity disorder; obsessive compulsive disorder; intellectual disability; cerebral palsy; and epilepsy. Procedures for data harmonization, derivations, and merging were shared and examples pertaining to severity of disorder and sleep disturbances were described in detail. Important lessons emerged from data harmonizing procedures: prioritizing the collection of CDEs to ensure data completeness; ensuring unprocessed data are uploaded for harmonization in order to facilitate timely analytic procedures; the value of maintaining variable naming that is consistent with data dictionaries at time of project validation; and the value of regular meetings with the research networks to discuss and overcome challenges with data harmonization. Buy-in from all research networks involved at study inception and oversight from a centralized infrastructure (OBI) identified the importance of collaboration to collect CDEs and facilitate data harmonization to improve outcomes for children with NDDs.

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data collection with the vision of a Learning Health System. To improve clinical decision-making and patient outcomes, a clinical dashboard was implemented to provide a real-time visualization of data from patient self-assessments and other physical and mental health indicators. This case report shares early findings of dashboard implementation to understand user uptake and improve fidelity of the technology and processes that need to support adoption. Moreover, these findings will inform the strategy and development of a hospital-wide scalable dashboard that will span across clinical areas and leverage artificial intelligence to continuously improve patient outcomes and equitable care delivery.

A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic.

Artificial intelligence, machine learning, and digital health innovations have tremendous potential to advance patient-centred, data-driven mental healthcare. To enable the clinical application of such innovations, the Krembil Centre for Neuroinformatics at the Centre for Addiction and Mental Health, Canada's largest mental health hospital, embarked on a journey to co-create a digital learning health system called the BrainHealth Databank (BHDB). Working with clinicians, scientists, and administrators alongside patients, families, and persons with lived experience (PFLE), this hospital-wide team has adopted a systems approach that integrates clinical and research data and practices to improve care and accelerate research. PFLE engagement was intentional and initiated at the conception stage of the BHDB to help ensure the initiative would achieve its goal of understanding the community's needs while improving patient care and experience. The BHDB team implemented an evolving, dynamic strategy to support continuous and active PFLE engagement in all aspects of the BHDB that has and will continue to impact patients and families directly. We describe PFLE consultation, co-design, and partnership in various BHDB activities and projects. In all three examples, we discuss the factors contributing to successful PFLE engagement, share lessons learned, and highlight areas for growth and improvement. By sharing how the BHDB navigated and fostered PFLE engagement, we hope to motivate and inspire the health informatics community to collectively chart their paths in PFLE engagement to support advancements in digital health and artificial intelligence.

Sleep Duration Is Associated with Academic Achievement of Adolescent Girls in Mathematics.

PURPOSE: To examine the associations between objective measures of sleep during the school week and academic achievement in mathematics and languages in typically developing adolescent girls. METHODS: Eighty adolescent girls aged 12-17 years (M=14.74, SD=1.3) participated. For five consecutive weeknights, sleep was assessed in the home environment using an actigraph. Academic achievement was assessed using report card grades. RESULTS: Girls who obtained on average less sleep than the recommended amount of 8 to 10 hrs per night had significantly lower grades in mathematics compared to girls who obtained the recommended amount (77.61 vs 86.16, respectively; ηp 2=0.11). Hierarchical regression analyses adjusted for age, pubertal status, and socioeconomic status revealed that longer average sleep time was significantly associated with higher grades in mathematics (B=4.78, 95% CI [2.03,7.53]). No significant associations were found between sleep variables and grades in languages. CONCLUSION: Longer average weekday sleep duration is associated with academic achievement of adolescent girls in mathematics.

Using Parental Report to Identify Children at Risk for Poor Sleep and Daytime Problems.

OBJECTIVE: To examine objective sleep patterns and the daytime behavioral, emotional and academic functioning of school-age children above and below the clinical cutoff score for the Child Sleep Habits Questionnaire (CSHQ), which is a parental-report-based measure of sleep disturbances. PARTICIPANTS: 48 boys and 74 girls aged 7-11 years. METHODS: Participants' sleep was assessed in their home environment using a miniature actigraph (AW-64 series; Mini-Mitter, Sunriver, OR, USA) for five consecutive weeknights. The parents provided their child's report card and completed a battery of questionnaires that included the CSHQ, the Child Behavior Checklist, a demographic questionnaire and a health questionnaire. RESULTS: Children that were above the cutoff score of the CSHQ had later objectively measured sleep schedule, were less likely to obtain the recommended amount of sleep for their age, had higher levels of internalizing and externalizing symptoms and a higher prevalence of clinical levels of externalizing and internalizing problems, had lower grades in English and French as a Second Language, and were more likely to fail these subjects. Discriminant analysis revealed that information from the objective sleep and emotional/behavioral and academic measures could significantly discriminate between those with or without parent-reported sleep disturbance. CONCLUSION: Parental reports of sleep disturbances can be used to identify children at increased risk for sleep, emotional, behavioral and academic problems. Such questionnaires should be incorporated into clinical practice and school-based evaluations with the goal of identifying undiagnosed children who might be at risk for poor adjustment related to night- and daytime difficulties.

Cumulative mild partial sleep deprivation negatively impacts working memory capacity but not sustained attention, response inhibition, or decision making: a randomized controlled trial.

BACKGROUND: Twenty-eight per cent (28%) of adults sleep at least 1 hour less than they consider optimal, yet the effects of such cumulative mild partial sleep deprivation on cognitive functions are unknown. The objective of this study was to examine how cumulative mild partial sleep deprivation over 6 nights can impact working memory, sustained attention, response inhibition, and decision making. METHODS: A double-blind placebo-controlled randomized study was conducted to determine the impact of sleep restriction (elimination of 1 hour of sleep relative to the baseline habitual sleep duration) vs placebo (exposure to a lamp with no known therapeutic effect) on cognitive performance. The primary outcomes were performance on tasks that measure working memory, sustained attention, response inhibition, and decision making. The participants consisted of 93 adults (mean age 24.3 years, SD 4.7; 46 men, 47 women) with no reported sleep problem, behavioral issue, or medical issue. RESULTS: Performance on the working memory capacity task improved between the baseline and experimental sessions for the placebo group but not the sleep-restriction group. Performance on tasks measuring sustained attention, response inhibition, and decision making did not change under either experimental condition. CONCLUSION: Cumulative partial sleep deprivation negatively affects performance on a test of working memory capacity but does not affect performance on tests of sustained attention, response inhibition, or decision making.

Association between the Munich Chronotype Questionnaire and Wrist Actigraphy.

Chronotype refers to individuals' preferences for timing of sleep and wakefulness. It can be quantified by measuring the midpoint time between the start and end of sleep during free days. Measuring chronotype is helpful to diagnose circadian rhythm sleep-wake disorders. The Munich Chronotype Questionnaire (MCTQ) is a self-reported measure of chronotype that calculates the midpoint of sleep on free days based on self-reported bed and wake times. Self-reports of sleep are prone to bias. The objective was to examine the agreement between the MCTQ-derived midpoint and an objective measure obtained using wrist actigraphy. The sleep of 115 participants aged 18-34 (mean = 24, SD = 4.6) was monitored with actigraphy for 4 to 6 consecutive nights. The corrected midpoint of sleep on free days was derived from sleep start and end times on both free days and scheduled days. The corrected midpoint of sleep on free days as measured by the MCTQ was 4:56 (SD = 1 : 16) and by actigraphy was 4:51 (SD = 1 : 23). They were not significantly different (t(87) = 0.66, p = 0.51). A strong correlation was found between these two measurements (r(88) = 0.73, p < 0.001). The 95% limits of agreement were between -1:37:19 and 2:14:38. MCTQ and actigraphy provide similar results for the corrected midpoint of sleep on free days.

An actigraphic study of the sleep patterns of younger and older school-age children.

OBJECTIVE: Sleep is viewed as being relatively consistent across the school-age period (6-13 years of age), however this claim has not been empirically supported. The objective of this study was to document the duration, schedule, variability, and week versus weekend discrepancies of sleep in three distinct age groups within the school-age period. METHODS: Participants were divided by age: Cycle 1, 6 and 7 years; Cycle 2, 8 and 9 years; and Cycle 3, 10 and 11 years. For seven consecutive nights, sleep was assessed in the home environment using an actigraph. RESULTS: Compared to children of Cycle 1, those of Cycles 2 and 3 showed increasing and significant delays in sleep start time, increasingly shorter assumed and actual sleep durations, and larger night-to-night variability of sleep. Of the children in Cycles 1, 2, and 3, 96%, 87.7%, and 51.3%, respectively, were found to spend the recommended 9-11 h in bed. However, the actigraphic 'true sleep' measure revealed that only 17%, 7%, and 2.5% of these children, respectively, obtained the recommended amount of sleep. CONCLUSION: Sleep duration, schedule, and variability change significantly across the school-age period.

Los especialistas en psiquiatría en México: su distribución, ejercicio profesional y certificación / Phychiatrists in Mexico: their distribution and practice

There are few available and reliable data regarding the number and geographic location of psychiatrists in Mexico. It is important to have these data in order to know if the mental health needs of the country are being met. This study is an attempt to update both the current data on this subject by locating the most psychiatrists possible, and also to learn more about how they manage their medical practice. Methods Descriptive and cross-sectional study. Several sources available in Mexico were consulted such as Mexican Psychiatry Associations, health care institutions, universities, telephone directories among several others, to locate psychiatrists and to identify where and what kind of practice they have. Results According to our several data bases, 3823 psychiatrists were counted in Mexico, 225 of these being child and adolescent psychiatrists. The rate of psychiatrists obtained was 3.47 psychiatrists per 100 000 inhabitants and 0.69 child and adolescent psychiatrists per 100 000 inhabitants under 15 years. 56% of psychiatrists practiced in the Federal District. There are 1.8 male psychiatrists for every female psychiatrist. Discussion The number of psychiatrists in Mexico is still below the rate that the World Health Organization recomends. The distribution by gender is shifting towards more equality. Psychiatrists were found to be grouped in urban areas of the country. The number of psychiatrists and child and adolescent psychiatrists seems to be insufficient to cover the needs of the country.

Existe poca información disponible y actualizada acerca del número de psiquiatras en México y sobre su localización geográfica. Es importante conocer estos datos para saber si se cubren las necesidades de salud mental del país. Este estudio busca actualizar tanto los datos disponibles sobre este tema al localizar el mayor número de psiquiatras posibles, como el tipo de práctica en su especialidad y si cuentan con la certificación correspondiente. Metodología Se trata de un estudio descriptivo y transversal. Se consultaron múltiples fuentes disponibles en México, como las asociaciones psiquiátricas mexicanas, las instituciones hospitalarias, las universidades, los directorios telefónicos y otros, para localizar a los psiquiatras, identificar dónde ejercen y conocer el tipo de su práctica profesional. Resultados Considerando nuestras diversas fuentes de búsqueda, se contabilizó un total de 3 823 psiquiatras para una población total de 112 000 000 de habitantes. Del número total de psiquiatras, 225 tienen la subespecialidad de paidopsiquiatría. Se obtuvo una tasa de 3.47 psiquiatras por cada 100 000 habitantes y de 0.69 paidopsiquiatras sobre una población de 100 000 habitantes menores de 15 años. El 56% se encuentra en el Distrito Federal. Hay 1.8 psiquiatras varones por cada mujer en esa especialidad. Discusión El número de psiquiatras en México aún está por debajo de la tasa recomendada por la Organización Mundial de la Salud. La distribución por género está cambiando hacia una más equitativa. Se encontró que los psiquiatras están agrupados en las zonas urbanas del país. El número de psiquiatras y paidopsiquiatras es insuficiente para cubrir las necesidades de salud mental del país.