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Providing preventive oral health during prenatal care is a recognized strategy for improving pregnant women's access to oral health care. This study sought to qualitatively explore the views of health care providers in British Columbia (BC), Canada, on strategies for integrating preventive oral health into prenatal care.

Twenty-four purposefully selected health care providers (13 oral health and 11 prenatal care providers) in Vancouver and Surrey BC participated in audio-recorded semistructured interviews. Interviews lasted from 31 to 61 min, were transcribed verbatim, and were analyzed using an inductive thematic analysis with N-Vivo software. Study validity was ensured via memoing, fieldnotes, member checking, and external audit.

Thematic analysis revealed 5 major themes perception of integrated care, relevance of integrated prenatal oral health, strategies for achieving integrated prenatal oral health, drivers of the integration process, and barriers to integrating oral health during pregnancy. Interion making when planning care delivery programs for women during pregnancy. Including the suggested strategies could lead to increased access to, and utilization of, oral health services among pregnant women.

The results of this study can be used by policymakers for advocacy and decision making when planning care delivery programs for women during pregnancy. Including the suggested strategies could lead to increased access to, and utilization of, oral health services among pregnant women.

Several factors affect proximal humeral fracture (PHF) morphology. In the presence of glenohumeral osteoarthritis (GOA), the joint kinematics is alternated which might influence fracture configuration. The purpose of this study was to identify fracture patterns in patients with advanced osteoarthritis to facilitate recognition and treatment.

In this retrospective analysis, and computed tomography (CT) scans of all patients undergoing surgical treatment for a PHF during a 5-year period were analyzed. Fracture pattern according to the AO Foundation/Orthopaedic Trauma Association (AO-OTA) classification and the presence of GOA were evaluated. In addition, critical shoulder angle (CSA), glenoid configuration, and glenoid inclination (GI) were measured.

Of the 713 patients, 574 met the inclusion criteria. A total of 166 patients showed radiological signs of GOA (28.9%). Advanced GOA (stage 2 or 3) was identified in 23 patients (4.0%). In this group, the mean age was 77 ± 10 years, mean CSA was 28.8 ± 4.2°, augh it might indicate a different treatment and therefore the recognition is crucial.

In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine Learning (ML) have a vast potential to exponentially optimize health care research. The use of AI-driven tools in LMIC can help in eradicating health inequalities and decrease the burden on health systems.

The literature search for this Scoping review was conducted through the PubMed database using keywords COVID-19, Artificial Intelligence (AI), Machine Learning (ML), and Low Middle-Income Countries (LMIC). CT99021 Forty-three articles were identified and screened for eligibility and 13 were included in the final review. All the items of this Scoping review are reported using guidelines for PRISMA extension for scoping reviews (PRISMA-ScR).

Results were synthesized and reported under 4 themes. (a)

AI can assist to increase the speed and accuracy of identification of cases and through data mining to deal with the health crisis efficiently, (b)

Efficacy for virus detection can a be increased by deploying the smart city data network using terminal tracking system along-with prediction of future outbreaks, (c)

A Deep learning system provides valuable information regarding protein structures associated with COVID-19 which could be utilized for vaccine formulation, and (d)

There is a lack of financial, material, and human resources in LMIC, AI can minimize the workload on human labor and help in analyzing vast medical data, potentiating predictive and preventive healthcare.

AI-based tools can be a game-changer for diagnosis, treatment, and management of COVID-19 patients with the potential to reshape the future of healthcare in LMIC.

AI-based tools can be a game-changer for diagnosis, treatment, and management of COVID-19 patients with the potential to reshape the future of healthcare in LMIC.

Childhood obesity represents a public health crisis in the United States. Thus, focusing on early childhood is crucial to modify the consequences associated with obesity. The Food and Fitness Initiative (FFI) is a community-based wellness program implemented in Northeast Iowa since 2009. FFI focuses on healthy eating and physical activity. Our aim is to describe the impact on body mass index (BMI) after implementing FFI in a Northeast Iowa Community Action Head Start (HS) population.

Retrospective BMI data was collected from all children attending 14 HS sites from 2012 to 2018. Children with BMI measurements during July to December of the first year in HS were included in the study. Follow-up data the second year in HS was obtained. Overweight and obesity prevalence, as well as, BMI changes between year 1 and 2 in HS were analyzed.

Data from 1013 children were collected, 850 (84%) had qualifying BMI measurements during their first year in HS and 352 of those children (41%) had follow-up data in their second year. There was a decrease in BMI between years 1 and 2 in HS that approached statistical significance (

 = 1.83,

 = .07,

 = .10). There were no statistically significant changes in the percent of overweight (Wald χ

 = .50,

 = .48) or obese (Wald χ

 = 1.71,

 = .19) children between the first and second year.

The FFI wellness program can be feasibly integrated into the HS curriculum and shows promising short-term results in improving BMI, but not to a statistically significant level when evaluated over 1 year.

The FFI wellness program can be feasibly integrated into the HS curriculum and shows promising short-term results in improving BMI, but not to a statistically significant level when evaluated over 1 year.