Vision-based detection and quantification of maternal sleeping position in the third trimester of pregnancy in the home setting-Building the dataset and model.

In 2021, the National Guideline Alliance for the Royal College of Obstetricians and Gynaecologists reviewed the body of evidence, including two meta-analyses, implicating supine sleeping position as a risk factor for growth restriction and stillbirth. While they concluded that pregnant people should be advised to avoid going to sleep on their back after 28 weeks' gestation, their main critique of the evidence was that, to date, all studies were retrospective and sleeping position was not objectively measured. As such, the Alliance noted that it would not be possible to prospectively study the associations between sleeping position and adverse pregnancy outcomes. Our aim was to demonstrate the feasibility of building a vision-based model for automated and accurate detection and quantification of sleeping position throughout the third trimester-a model with the eventual goal to be developed further and used by researchers as a tool to enable them to either confirm or disprove the aforementioned associations. We completed a Canada-wide, cross-sectional study in 24 participants in the third trimester. Infrared videos of eleven simulated sleeping positions unique to pregnancy and a sitting position both with and without bed sheets covering the body were prospectively collected. We extracted 152,618 images from 48 videos, semi-randomly down-sampled and annotated 5,970 of them, and fed them into a deep learning algorithm, which trained and validated six models via six-fold cross-validation. The performance of the models was evaluated using an unseen testing set. The models detected the twelve positions, with and without bed sheets covering the body, achieving an average precision of 0.72 and 0.83, respectively, and an average recall ("sensitivity") of 0.67 and 0.76, respectively. For the supine class with and without bed sheets covering the body, the models achieved an average precision of 0.61 and 0.75, respectively, and an average recall of 0.74 and 0.81, respectively.

Integrated People-Centred Care in Canada - Policies, Standards, and Implementation Tools to Improve Outcomes.

INTRODUCTION: Despite the national and international policy commitment to implement integrated health systems, there is an absence of national standards that support evidence-based design, implementation, and monitoring for improvement. Health Standards Organization (HSO)'s CAN/HSO 76000:2021 - Integrated People-Centred Health Systems (IPCHS) National Standard of Canada (NSC) has been developed to help close this gap. This manuscript outlines the policy context and the process taken to develop the IPCHS standard. DESCRIPTION: The IPCHS standard is built around 10 design principles with detailed, action-oriented criteria and guidance for policy makers and health system partners. The IPCHS standard was co-designed with a technical committee that included balanced representation of policy makers, health system decision-makers, Indigenous leaders, providers, patients, caregivers, and academics. Additional feedback was received from a diverse audience during two public review periods and targeted consultation via interviews. This qualitative feedback, combined with the evidence reviews completed by the technical committee, informed the final content of the IPCHS standard. DISCUSSION: The IPCHS standard was developed through a co-design process and complements existing frameworks by providing 66 detailed, action-oriented criteria, with specific guidance. The co-design process and consultations resulted in increased awareness and capacity among policy makers and health system partners. Supplementary tools are also in development to facilitate implementation and monitoring of progress and outcomes. This manuscript was developed in collaboration with technical committee members and HSO staff who led the targeted consultation and adoption of the IPCHS standard in six integrated care networks. CONCLUSION: Implementing integration strategies requires that we create and sustain a culture of continuous improvement and learning. Key lessons from the development process focused on the importance of co-design, embedding people-centred practices throughout the standard, formal yet iterative methodology inclusive of broad consultation, clear accountability for both policy makers and system partners, tools that support action and can be adapted to local context and level of integrated system maturity.

Bioluminescent imaging in induced mouse models of endometriosis reveals differences in four model variations.

Our understanding of the aetiology and pathophysiology of endometriosis remains limited. Disease modelling in the field is problematic as many versions of induced mouse models of endometriosis exist. We integrated bioluminescent imaging of 'lesions' generated using luciferase-expressing donor mice. We compared longitudinal bioluminescence and histology of lesions, sensory behaviour of mice with induced endometriosis and the impact of the gonadotropin-releasing hormone antagonist Cetrorelix on lesion regression and sensory behaviour. Four models of endometriosis were tested. We found that the nature of the donor uterine material was a key determinant of how chronic the lesions were, as well as their cellular composition. The severity of pain-like behaviour also varied across models. Although Cetrorelix significantly reduced lesion bioluminescence in all models, it had varying impacts on pain-like behaviour. Collectively, our results demonstrate key differences in the progression of the 'disease' across different mouse models of endometriosis. We propose that validation and testing in multiple models, each of which may be representative of the different subtypes/heterogeneity observed in women, should become a standard approach to discovery science in the field of endometriosis.

Early improvement in eating attitudes during cognitive behavioural therapy for eating disorders: the impact of personality disorder cognitions.

BACKGROUND: The personality disorders are commonly comorbid with the eating disorders. Personality disorder pathology is often suggested to impair the treatment of axis 1 disorders, including the eating disorders. AIMS: This study examined whether personality disorder cognitions reduce the impact of cognitive behavioural therapy (CBT) for eating disorders, in terms of treatment dropout and change in eating disorder attitudes in the early stages of treatment. METHOD: Participants were individuals with a diagnosed eating disorder, presenting for individual outpatient CBT. They completed measures of personality disorder cognitions and eating disorder attitudes at sessions one and six of CBT. Drop-out rates prior to session six were recorded. RESULTS: CBT had a relatively rapid onset of action, with a significant reduction in eating disorder attitudes over the first six sessions. Eating disorder attitudes were most strongly associated with cognitions related to anxiety-based personality disorders (avoidant, obsessive-compulsive and dependent). Individuals who dropped out of treatment prematurely had significantly higher levels of dependent personality disorder cognitions than those who remained in treatment. For those who remained in treatment, higher levels of avoidant, histrionic and borderline personality disorder cognitions were associated with a greater change in global eating disorder attitudes. CONCLUSIONS: CBT's action and retention of patients might be improved by consideration of such personality disorder cognitions when formulating and treating the eating disorders.