Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test.

Early Childhood Caries (ECC) is the most common childhood disease worldwide and a health disparity among underserved children. ECC is preventable and reversible if detected early. However, many children from low-income families encounter barriers to dental care. An at-home caries detection technology could potentially improve access to dental care regardless of patients' economic status and address the overwhelming prevalence of ECC. Our team has developed a smartphone application (app), AICaries, that uses artificial intelligence (AI)-powered technology to detect caries using children's teeth photos. We used mixed methods to assess the acceptance, usability, and feasibility of the AICaries app among underserved parent-child dyads. We conducted moderated usability testing (Step 1) with ten parent-child dyads using "Think-aloud" methods to assess the flow and functionality of the app and analyze the data to refine the app and procedures. Next, we conducted unmoderated field testing (Step 2) with 32 parent-child dyads to test the app within their natural environment (home) over two weeks. We administered the System Usability Scale (SUS) and conducted semi-structured individual interviews with parents and conducted thematic analyses. AICaries app received a 78.4 SUS score from the participants, indicating an excellent acceptance. Notably, the majority (78.5%) of parent-taken photos of children's teeth were satisfactory in quality for detection of caries using the AI app. Parents suggested using community health workers to provide training to parents needing assistance in taking high quality photos of their young child's teeth. Perceived benefits from using the AICaries app include convenient at-home caries screening, informative on caries risk and education, and engaging family members. Data from this study support future clinical trial that evaluates the real-world impact of using this innovative smartphone app on early detection and prevention of ECC among low-income children.

A Community Collaborative for the Exploration of Local Factors Affecting Black Mothers' Experiences with Perinatal Care.

OBJECTIVES: Black women face disparities in maternal morbidity and mortality when compared to White women. Multiple factors contribute to these disparities. This study examines the perspectives of Black women who have given birth in the last 5 years, to understand their pregnancy and birth experiences as a means of ascertaining factors that may be contributing to these disparities. METHODS: The Consortium to End Black Maternal Mortality was established as a collaborative table of cross-sector stakeholders and Black mothers to effectively conduct community-based participatory research focused on Black maternal health. Between January and March 2020, Black mothers who had given birth in the last 5 years facilitated Listening Sessions (LS) with other Black mothers in Rochester, NY. Participants reported on details of their pregnancy and delivery, including interaction with providers, personal relationships and their individual experience. The qualitative data captured during these sessions were coded to draw out key themes which were validated with LS participants and the Consortium. RESULTS: The key themes that emerged clustered into four groups, including: (1) Mother-Provider Communication; (2) Social Support; (3) Systemic factors and (4) Maternal Emotional & Mental Health. Mother-provider communication was the most salient factor affecting the maternal experience and was found to be influenced primarily by maternal health literacy and provider discriminatory attitudes and behaviors. CONCLUSIONS FOR PRACTICE: As a result of the Listening Sessions conducted with Black women, we identified mother-provider communication as the most important factor influencing the maternal experience.

Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study.

BACKGROUND: Early childhood caries (ECC) is the most common chronic childhood disease, with nearly 1.8 billion new cases per year worldwide. ECC afflicts approximately 55% of low-income and minority US preschool children, resulting in harmful short- and long-term effects on health and quality of life. Clinical evidence shows that caries is reversible if detected and addressed in its early stages. However, many low-income US children often have poor access to pediatric dental services. In this underserved group, dental caries is often diagnosed at a late stage when extensive restorative treatment is needed. With more than 85% of lower-income Americans owning a smartphone, mobile health tools such as smartphone apps hold promise in achieving patient-driven early detection and risk control of ECC. OBJECTIVE: This study aims to use a community-based participatory research strategy to refine and test the usability of an artificial intelligence-powered smartphone app, AICaries, to be used by children's parents/caregivers for dental caries detection in their children. METHODS: Our previous work has led to the prototype of AICaries, which offers artificial intelligence-powered caries detection using photos of children's teeth taken by the parents' smartphones, interactive caries risk assessment, and personalized education on reducing children's ECC risk. This AICaries study will use a two-step qualitative study design to assess the feedback and usability of the app component and app flow, and whether parents can take photos of children's teeth on their own. Specifically, in step 1, we will conduct individual usability tests among 10 pairs of end users (parents with young children) to facilitate app module modification and fine-tuning using think aloud and instant data analysis strategies. In step 2, we will conduct unmoderated field testing for app feasibility and acceptability among 32 pairs of parents with their young children to assess the usability and acceptability of AICaries, including assessing the number/quality of teeth images taken by the parents for their children and parents' satisfaction. RESULTS: The study is funded by the National Institute of Dental and Craniofacial Research, United States. This study received institutional review board approval and launched in August 2021. Data collection and analysis are expected to conclude by March 2022 and June 2022, respectively. CONCLUSIONS: Using AICaries, parents can use their regular smartphones to take photos of their children's teeth and detect ECC aided by AICaries so that they can actively seek treatment for their children at an early and reversible stage of ECC. Using AICaries, parents can also obtain essential knowledge on reducing their children's caries risk. Data from this study will support a future clinical trial that evaluates the real-world impact of using this smartphone app on early detection and prevention of ECC among low-income children. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/32921.

Interprofessional collaboration and smartphone use as promising strategies to improve prenatal oral health care utilization among US underserved women: results from a qualitative study.

BACKGROUND: Data on barriers and facilitators to prenatal oral health care among low-income US women are lacking. The objective of this study was to understand barriers/facilitators and patient-centered mitigation strategies related to the use of prenatal oral health care among underserved US women. METHODS: We used community-based participatory research to conduct two focus groups with eight pregnant/parenting women; ten individual in-depth interviews with medical providers, dental providers and community/social workers; and one community engagement studio with five representative community stakeholders in 2018-2019. Using an interpretive description research design, we conducted semi-structured interviews and focus groups which were audio-recorded, transcribed, and analyzed for thematic content. RESULTS: We identified individual and systemic barriers/facilitators to the utilization of prenatal oral health care by underserved US women. Strategies reported to improve utilization included healthcare system-wide changes to promote inter-professional collaborations, innovative educational programs to improve dissemination and implementation of prenatal oral health care guidelines, and specialized dental facilities providing prenatal oral health care to underserved women. Moreover, smartphones have the potential to be an innovative entry point to promote utilization of prenatal oral care at the individual level. CONCLUSIONS: Low-income women face multiple, addressable barriers to obtaining oral health care during pregnancy. Inter-professional collaboration holds strong promise for improving prenatal oral health care utilization.

Piloting a nationally disseminated, interactive human subjects protection program for community partners: unexpected lessons learned from the field.

Funders, institutions, and research organizations are increasingly recognizing the need for human subjects protections training programs for those engaged in academic research. Current programs tend to be online and directed toward an audience of academic researchers. Research teams now include many nonacademic members, such as community partners, who are less likely to respond to either the method or the content of current online trainings. A team at the CTSA-supported Michigan Institute for Clinical and Health Research at the University of Michigan developed a pilot human subjects protection training program for community partners that is both locally implemented and adaptable to local contexts, yet nationally consistent and deliverable from a central administrative source. Here, the developers of the program and the collaborators who participated in the pilot across the United States describe 10 important lessons learned that align with four major themes: The distribution of the program, the implementation of the program, the involvement of community engagement in the program, and finally lessons regarding the content of the program. These lessons are relevant to anyone who anticipates developing or improving a training program that is developed in a central location and intended for local implementation.