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Although the value of family caregivers' involvement with relatives in long-term care (LTC) is well recognized, tensions remain regarding their role. Such tensions were exacerbated during the COVID-19 pandemic as strict public health measures restricted family access to LTC homes. Using interpretive description, we examined the impact of visitation restrictions on family caregivers' experiences caring for a relative in LTC between March 2020 and June 2021. In-depth interviews were conducted with 14 family caregivers (five spouses and nine adult daughters) and two key themes were identified. The first theme, "seeking to maintain relational continuity," illustrates how caregivers sought to sustain connections with residents prior to and during the pandemic. The second theme, "disrupted relational continuity," highlights the impact of severed relational connections on caregivers' sense of self and ongoing feelings of loss and anger. Findings call for a trauma-informed approach that recognizes the pervasiveness of trauma for family caregivers and the avoidance of re-traumatization. [ABSTRACT FROM AUTHOR]

Since the onset of the COVID-19 pandemic, community-dwelling people living with dementia and their family caregivers have experienced many challenges. The unanticipated consequences of public health measures have impacted these families in a myriad of ways. In this interpretive policy analysis, which used a longitudinal, qualitative methodology, we purposively recruited 12 families in British Columbia, Canada, to explore the impacts of pandemic public health measures over time. Semi-structured interviews were conducted every 3 months and participants completed diary entries. Twenty-eight interviews and 34 diary entries were thematically analyzed. The findings explore ways that families adopted and adapted to public health measures, loss of supports, both formal and informal, and the subsequent consequences for their mental and physical well-being. Within the ongoing context of the pandemic, as well as potential future wide-spread emergencies, it is imperative that programs and supports are restarted and maintained to avoid further harm to these families. [ABSTRACT FROM AUTHOR]

Background: Consistent assignment (CA) is the practice within long‐term care (LTC) by which care staff work with the same residents almost every shift for an indefinite period of time. CA is considered by many to be essential to person‐centred care. Objectives: This paper explores how staff assignment practices impact the caregiving experience from the perspectives of resident care aides (RCAs), residents and family members and, by doing so, describe the nuanced conditions under which CA may or may not be beneficial to all, and why. Methods: Data are drawn from 40 in‐depth interviews conducted as part of a larger institutional ethnography exploring the social organisation of care in three purposively selected LTC homes in Western Canada. Data analysis was based on the principles of constant comparison. Results: RCAs, residents and family members described the primary benefit of CA as being able to 'get to know' each other well and form meaningful relationships. However, the RCAs also indicated that CA can contribute to feelings of isolation, which has negative effects on worker comfort and satisfaction, care team dynamics and communication, and resident care. Conclusions: Management initiatives are needed to ensure that the implementation of CA does not result in the unintended consequences of decreasing RCAs' experience of teamwork, decreasing RCAs' exchange of individualised resident care information, or negatively impacting RCAs' ability and desire to care for each other as well as the residents. Implications for practice: The staffing practice of consistent assignment in long‐term care homes provides increased opportunities for the development of stronger staff‐resident and staff‐family member relationships. Findings from this study enable us to offer several, evidenced‐based recommendations for ensuring the successful implementation of consistent assignment, such that it may be beneficial to all. [ABSTRACT FROM AUTHOR]

Background: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity and low sensitivity/specificity of between-group neuroimaging differences. Machine learning (ML) may better translate neuroimaging to the level of individual participants. Studying unaffected offspring of parents with bipolar disorders (BD) decreases clinical heterogeneity and thus increases sensitivity for detection of biomarkers. The present study used ML to identify individuals at genetic high risk (HR) for BD based on brain structure. Methods: We studied unaffected and affected relatives of BD probands recruited from 2 sites (Halifax, Canada, and Prague, Czech Republic). Each participant was individually matched by age and sex to controls without personal or family history of psychiatric disorders. We applied support vector machines (SVM) and Gaussian process classifiers (GPC) to structural MRI. Results: We included 45 unaffected and 36 affected relatives of BD probands matched by age and sex on an individual basis to healthy controls. The SVM of white matter distinguished unaffected HR from control participants (accuracy = 68.9%, p = 0.001), with similar accuracy for the GPC (65.6%, p = 0.002) or when analyzing data from each site separately. Differentiation of the more clinically heterogeneous affected familiar group from healthy controls was less accurate (accuracy = 59.7%, p = 0.05). Machine learning applied to grey matter did not distinguish either the unaffected HR or affected familial groups from controls. The regions that most contributed to between-group discrimination included white matter of the inferior/middle frontal gyrus, inferior/middle temporal gyrus and precuneus. Limitations: Although we recruited 126 participants, ML benefits from even larger samples. Conclusions: Machine learning applied to white but not grey matter distinguished unaffected participants at high and low genetic risk for BD based on regions previously implicated in the pathophysiology of BD. [ABSTRACT FROM AUTHOR]