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1.
JMIR Hum Factors ; 10: e45418, 2023 Aug 18.
Artigo em Inglês | MEDLINE | ID: mdl-37594795

RESUMO

BACKGROUND: Amid the COVID-19 pandemic and other possible future infectious disease pandemics, dentistry needs to consider modified dental examination regimens that render quality care and ensure the safety of patients and dental health care personnel (DHCP). OBJECTIVE: This study aims to assess the acceptance and usability of an innovative mDentistry eHygiene model amid the COVID-19 pandemic. METHODS: This pilot study used a 2-stage implementation design to assess 2 critical components of an innovative mDentistry eHygiene model: virtual hygiene examination (eHygiene) and patient self-taken intraoral images (SELFIE), within the National Dental Practice-Based Research Network. Mixed methods (quantitative and qualitative) were used to assess the acceptance and usability of the eHygiene model. RESULTS: A total of 85 patients and 18 DHCP participated in the study. Overall, the eHygiene model was well accepted by patients (System Usability Scale [SUS] score: mean 70.0, SD 23.7) and moderately accepted by dentists (SUS score: mean 51.3, SD 15.9) and hygienists (SUS score: mean 57.1, SD 23.8). Dentists and patients had good communication during the eHygiene examination, as assessed using the Dentist-Patient Communication scale. In the SELFIE session, patients completed tasks with minimum challenges and obtained diagnostic intraoral photos. Patients and DHCP suggested that although eHygiene has the potential to improve oral health care services, it should be used selectively depending on patients' conditions. CONCLUSIONS: The study results showed promise for the 2 components of the eHygiene model. eHygiene offers a complementary modality for oral health data collection and examination in dental offices, which would be particularly useful during an infectious disease outbreak. In addition, patients being able to capture critical oral health data in their home could facilitate dental treatment triage and oral health self-monitoring and potentially trigger oral health-promoting behaviors.

2.
Artigo em Inglês | MEDLINE | ID: mdl-36381137

RESUMO

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.

3.
BMC Oral Health ; 20(1): 333, 2020 11 23.
Artigo em Inglês | MEDLINE | ID: mdl-33228617

RESUMO

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.


Assuntos
Aceitação pelo Paciente de Cuidados de Saúde , Smartphone , Feminino , Humanos , Gravidez , Gestantes , Cuidado Pré-Natal , Pesquisa Qualitativa
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