The Text4HealthyAging Program: An Evidence-Based Text Messaging Innovation to Support Healthy Urban Aging in Canada and Australia.

Age-friendly cities are crucial to achieve the WHO goal of healthy aging. Such cities promote opportunities for health, participation, and security, thus enhancing quality of life as people age. Older people commonly experience psychosocial challenges such as anxiety, depression, substance abuse, loss of autonomy, grief, fear, and loneliness. Australian and Canadian cities continue to seek innovation to improve healthy urban aging and create more age-friendly environments for older adults. There is increasing evidence on the effectiveness and feasibility of mobile technology in health promotion and closing psychological treatment gaps. Older adults have been demonstrated to engage frequently with mobile devices, particularly text messaging. In this article, we conceptualize the Text4HealthyAging, an evidence-based text messaging innovation to support healthy urban aging in Canadian and Australian cities.

Protocol for a multi-phase, mixed methods study to develop and evaluate culturally adapted CBT to improve community mental health services for Canadians of south Asian origin.

BACKGROUND: Canadians of South Asian (SA) origin comprise the largest racialized group in Canada, representing 25.6% of what Statistics Canada terms "visible minority populations". South Asian Canadians are disproportionately impacted by the social determinants of health, and this can result in high rates of mood and anxiety disorders. These factors can negatively impact mental health and decrease access to care, thereby increasing mental health inequities. Cognitive Behavioural Therapy (CBT) in its current form is not suitable for persons from the non-western cultural backgrounds. Culturally adapted Cognitive Behavioural Therapy (CaCBT) is an evidence-based practice. CaCBT is more effective than standard CBT and can reduce dropouts from therapy compared with standard CBT. Thus, CaCBT can increase access to mental health services and improve outcomes for immigrant, refugee and ethno-cultural and racialized populations. Adapting CBT for growing SA populations in Canada will ensure equitable access to effective and culturally appropriate interventions. METHODS: The primary aim of the study is to develop and evaluate CaCBT for Canadian South Asian persons with depression and anxiety and to gather data from stakeholders to develop guidelines to culturally adapt CBT. This mixed methods study will use three phases: (1) cultural adaptation of CBT, (2) pilot feasibility of CaCBT and (3) implementation and evaluation of CaCBT. Phase 1 will use purposive sampling to recruit individuals from four different groups: (1) SA patients with depression and anxiety, (b) caregivers and family members of individuals affected by anxiety and depression, (c) mental health professionals and (d) SA community opinion leaders. Semi-structured interviews will be conducted virtually and analysis of interviews will be informed by an ethnographic approach. Phase 2 will pilot test the newly developed CaCBT for feasibility, acceptability and effectiveness via quantitative methodology and a randomized controlled trial, including an economic analysis. Phase 3 will recruit therapists to train and evaluate them in the new CaCBT. DISCUSSION: The outcome of this trial will benefit health services in Canada, in terms of helping to reduce the burden of depression and anxiety and provide better care for South Asians. We expect the results to help guide the development of better services and tailor existing services to the needs of other vulnerable groups. TRIAL REGISTRATION: ClinicalTrials.gov NCT04010890. Registered on July 8, 2019.

The Quality Mental Health Care Network: A roadmap to improving quality mental healthcare in Canada.

Although there are numerous quality of care frameworks, little attention has been given to the essential concepts that encompass quality mental healthcare. HealthCareCAN and the Mental Health Commission of Canada co-lead the Quality Mental Health Care Network (QMHCN), which has developed a quality mental healthcare framework, building on existing provincial, national, and international frameworks. HealthCareCAN conducted an environmental scan, key informant interviews, and focus groups with individuals with lived experiences to develop the framework. This article outlines the findings from this scan, interviews and focus groups.

Neuronal spike train entropy estimation by history clustering.

Neurons send signals to each other by means of sequences of action potentials (spikes). Ignoring variations in spike amplitude and shape that are probably not meaningful to a receiving cell, the information content, or entropy of the signal depends on only the timing of action potentials, and because there is no external clock, only the interspike intervals, and not the absolute spike times, are significant. Estimating spike train entropy is a difficult task, particularly with small data sets, and many methods of entropy estimation have been proposed. Here we present two related model-based methods for estimating the entropy of neural signals and compare them to existing methods. One of the methods is fast and reasonably accurate, and it converges well with short spike time records; the other is impractically time-consuming but apparently very accurate, relying on generating artificial data that are a statistical match to the experimental data. Using the slow, accurate method to generate a best-estimate entropy value, we find that the faster estimator converges to this value more closely and with smaller data sets than many existing entropy estimators.