Prior to Implementation of Digital Pathology-Assessment of Expectations among Staff by Means of Normalization Process Theory.

The Region of Southern Denmark is the first in Denmark to implement digital pathology (DIPA), starting at the end of 2020. The DIPA process involves changes in workflow, and the pathologist will have to diagnose based on digital whole slide imaging instead of through the traditional use of the conventional light microscope and glass slides. In addition, in the laboratory, the employees will have to implement one more step to their workflow-scanning of tissue. The aim of our study was to assess the expectations and readiness among employees and management towards the implementation of DIPA, including their thoughts and motivations for starting to use DIPA. We used a mixed-method approach. Based on the findings derived from 18 semi-structured interviews with employees from the region's departments of pathology, we designed a questionnaire, including questions from the normalization measure development tool. The questionnaires were e-mailed to 181 employees. Of these employees, 131 responded to the survey. Overall, they reported feeling sufficiently tech-savvy to be able to use DIPA, and they had high expectations as well as motivation and readiness for the upcoming changes. However, the employees were skeptical regarding the allocation of resources, and few were aware of reports about the effects of DIPA. Based on the findings, it seems to be important to provide not only a thorough introduction to the new intervention and the changes it will entail, but also to continue to ensure that the staff know how it works and why it is necessary to implement.

Food Waste, Preference, and Cost: Perceived Barriers and Self-Reported Food Service Best Practices in Family Child Care Homes.

Background: Family Child Care Homes (FCCHs) are a setting where providers care for children at their own residence. FCCHs face unique challenges and children may not always receive optimal nutrition and have higher risk of obesity compared to other programs. The objective of this study was to determine differences in food service best practices scores between FCCHs who did/did not perceive barriers to serving healthy meals. Methods: FCCHs (n = 167) self-reported demographics, and perceived barriers to serving healthy foods. Nutrition and Physical Activity Self-Assessment for Child Care was used to assess food served with 1 (indicating poor practice) to 4 (indicating best practice). Means, standard deviations, and t-tests were conducted to determine differences in scores between FCCHs with and without perceived barriers. Adjusted alpha was 0.013. Results: FCCHs perceiving food waste as a barrier had significantly lower scores for total food and beverage (p = 0.006, 3.2 ± 0.3 vs. 3.4 ± 0.3); fruits and vegetables (p = 0.003, 3.1 ± 0.5 vs. 3.3 ± 0.5), whole fruits (p = 0.048, 3.1 ± 1.2 vs. 3.4 ± 0.9), and nonstarchy vegetables (p = 0.007, 2.8 ± 0.9 vs. 3.2 ± 0.9). Providers perceiving food preferences as a barrier had significantly lower scores compared to those who did not (p = 0.008, 2.9 ± 0.9 vs. 3.3 ± 0.9). No significant differences found in best practices among providers with vs. without perceived barrier of food costs. Conclusion: Food waste is an understudied barrier in FCCHs to serve healthy meals. Research is needed to explore these perceived barriers in FCCHs to improve best practices around meals.

The ethical challenges of artificial intelligence-driven digital pathology.

Digital pathology - the digitalisation of clinical histopathology services through the scanning and storage of pathology slides - has opened up new possibilities for health care in recent years, particularly in the opportunities it brings for artificial intelligence (AI)-driven research. Recognising, however, that there is little scholarly debate on the ethics of digital pathology when used for AI research, this paper summarises what it sees as four key ethical issues to consider when deploying AI infrastructures in pathology, namely, privacy, choice, equity, and trust. The themes are inspired from the authors' experience grappling with the challenge of deploying an ethical digital pathology infrastructure to support AI research as part of the National Pathology Imaging Cooperative (NPIC), a collaborative of universities, hospital trusts, and industry partners largely located across the North of England. Though focusing on the UK case, internationally, few pathology departments have gone fully digital, and so the themes developed here offer a heuristic for ethical reflection for other departments currently making a similar transition or planning to do so in the future. We conclude by promoting the need for robust public governance mechanisms in AI-driven digital pathology.

Quality of Nutrition Environments, Menus and Foods Served, and Food Program Achievement in Oklahoma Family Child Care Homes.

Child care environments foster children's healthy eating habits by providing exposure to healthy foods and feeding practices. We assessed the healthfulness of nutrition environments, menu/meal quality, and the achievement of Child and Adult Care Food Program (CACFP) guidelines and best practices in Oklahoma CACFP-enrolled family child care homes (FCCHs) (n = 51). Two-day classroom observations were conducted. Healthfulness of classroom nutrition environments was assessed using the Environment and Policy Assessment and Observation (EPAO). Foods served to and consumed by children were quantified using the Dietary Observations in Child Care (DOCC) tool. Nutrient analysis was performed to determine total energy for foods listed on menus, served to, and consumed by children. Menu and meal food variety and CACFP Guideline Achievement Scores were determined. Average nutrition environment score was 11.7 ± 1.2 (61.5% of maximum possible score). Energy (kcals) from menus and consumed by children was insufficient to meet two-thirds of their daily reference intake. Children were exposed to 1.7 vegetables and 1.3 fruits per meal. CACFP Guideline Achievement Scores were 66.3% ± 7.8 for menus and 59.3% ± 7.6 for mealtimes. Similar to previous research, our findings indicate a need for improved FCCH nutrition practices. Tailored interventions for FCCHs are needed.

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