Co-designing action-oriented mental health conversations between care providers and ageing Canadians in the community: a participatory mixed-methods study protocol.

INTRODUCTION: The mental health of ageing Canadians is a growing concern, particularly post-pandemic. Older adults face systemic ageism and mental health stigma as pervasive barriers to seeking needed mental health support, care and treatment within health and social care systems. These barriers are exacerbated when service providers focus on physical healthcare needs or lack the skills and confidence to talk about and/or address mental health during routine visits. This study aims to co-design and test an evidence-based approach to mental health conversations at the point-of-care in home and community settings with older adults, family and friend caregivers and health and social care providers that could facilitate help-seeking activities and care access. METHODS AND ANALYSIS: A participatory mixed-methods study design will be applied, guided by a Working Group of experts-by-experience (n=30). Phase 1 engages ageing Canadians in four online workshops (n=60) and a national survey (n=1000) to adapt an evidence-based visual model of mental health for use with older adults in home and community care. Phase 2 includes six co-design workshops with community providers (n=90) in rural and urban sites across three Canadian provinces to co-design tools, resources and processes for enabling the use of the adapted model as a conversation guide. Phase 3 involves pilot and feasibility testing the co-designed conversations with older adult clients of providers from Phase 2 (n=180). ETHICS AND DISSEMINATION: Phases 1 and 2 of this study have received ethics clearance at the University of Waterloo (ORE #44187), University of British Columbia (#H22-02306) and St. Francis Xavier University (#26075). While an overview of Phase 3 is included, details will rely on Phase 2 outcomes. Knowledge mobilisation activities will include peer-reviewed publications, conference presentations, webinars, newsletters, infographics and policy briefs. Interested audiences may include community organisations, policy and decision-makers and health and social care providers.

Integrating a Standardized Self-Report Tool into Geriatric Medicine Practice during the COVID-19 Pandemic: A Mixed-Methods Study.

Specialized geriatric services care for older adults (≥ 65 years of age) with dementia and other progressive neurological disorders, frailty, and mental health conditions were provided both virtually and in person during the pandemic. The objective of this study was to implement a software-enabled standardized self-report instrument - the interRAI Check-Up Self-Report - to remotely assess patients. A convergent, mixed-methods research design was employed. Staff found the instrument easy to use and the program-level metrics helpful for planning. Most patients urgently needed a geriatrician assessment (72%) and had moderate to severe cognitive (34%) and functional impairments (34%), depressive symptoms (53%), loneliness (57%), daily pain (32%), and distressed caregivers (46%). Implementation considerations include providing ongoing support and facilitating intersectoral collaboration. The Check Up enhanced the geriatric assessment process by creating a system to track all needs for immediate and future care at both the patient and program level.

Avoidance of mild threat observed in generalized anxiety disorder (GAD) using eye tracking.

Attentional biases towards threat are assumed to be a causal factor in the development of anxiety disorders, including generalized anxiety disorder (GAD). However, findings have been inconsistent, and studies often examine single time-point bias during threat exposure, instead of across time. Attention to threat may shift throughout exposure (e.g., from initial engagement to avoidance), and research suggests that threat intensity and state anxiety influence attentional biases. No studies to our knowledge have examined biases across time and with varying threat intensity and state anxiety. Participants with GAD (n=38) and non-anxious controls (n=25) viewed emotional (high threat, mild threat, and positive) and neutral image pairs under calm and anxious mood states while their eye movements were tracked. Participants showed an initial orientation to emotional images, and, under the anxious mood induction, demonstrated a bias towards threatening images at first fixation and over time. Results suggest it may be normative to attend to threat cues over other stimuli while in an anxious state. Individuals with GAD uniquely showed a bias away from mild (but not high) threat images over time relative to controls. Implications for theories of attentional biases to threat and clinical implications for GAD and anxiety disorders broadly are discussed.

Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study.

BACKGROUND: Outside of a clinical setting, oscillometric devices make remote monitoring of blood pressure and virtual care more convenient and feasible. HeartBeat Technologies Ltd developed a novel approach to measuring blood pressure remotely after an initial blood pressure reading by a nurse using the conventional measurement method. Using a finger pulse oximeter, a photoplethysmogram wave is transmitted by Bluetooth to a smartphone or tablet. A smartphone app (MediBeat) transmits the photoplethysmogram to a server for analysis by a proprietary algorithm-the person's current blood pressure is sent back to the smartphone and to the individual's health care provider. OBJECTIVE: This study sought to determine whether the HeartBeat algorithm calculates blood pressure as accurately as required by the European Society of Hypertension International Protocol revision 2010 (ESH-IP2) for validation of blood pressure measuring devices. METHODS: ESH-IP2 requirements, modified to conform to a more recent international consensus statement, were followed. The ESH-IP2 establishes strict guidelines for the conduct and reporting of any validation of any device to measure blood pressure, including using the standard manual blood pressure instrument as a comparator and specific required accuracy levels for low, medium, and high ranges of blood pressure readings. The consensus statement requires a greater number of study participants for each of the blood pressure ranges. The validation of the accuracy of the algorithm was conducted with a Contec CMS50EW pulse oximeter and a Samsung Galaxy XCover 4 smartphone. RESULTS: The differences between the HeartBeat-calculated and the manually measured blood pressures of 62 study participants did not meet the ESH-IP2 standards for accuracy for either systolic or diastolic blood pressure measurements. There was no discernible pattern in the inaccuracies of the HeartBeat-calculated measurements. CONCLUSIONS: The October 4, 2019 version of the HeartBeat algorithm, implemented in combination with the MediBeat app, a pulse oximeter, and an Android smartphone, was not sufficiently accurate for use in a general adult population. TRIAL REGISTRATION: ClinicalTrials.gov NCT04082819; http://clinicaltrials.gov/ct2/show/NCT04082819.