Dachel Martínez Asanza

This study examines the influence of digital health marketing on preventive oral health behavior among dental service customers in Algeria. A quantitative approach was employed using a structured questionnaire distributed to customers of dental services. A total of 196 valid responses were collected and analyzed using multiple regression analysis. The study investigated the effects of online oral health information quality, social media health engagement, personalized digital communication, and trust in digital health information on preventive oral health behavior. The findings revealed that all four dimensions significantly and positively influence preventive oral health behavior, with trust in digital health information emerging as the strongest predictor, followed by personalized digital communication. The model explained 61.2% of the variance in preventive oral health behavior. The study highlights the growing role of digital health marketing in encouraging preventive oral care and offers practical implications for dental clinics and healthcare policymakers.

The aging of the global population presents a significant challenge to public health, demanding innovative and sustainable dental approaches. This integrative literature review synthesizes research on the intersection of Geriatric Dentistry, Gerodontology, and digital marketing and communication strategies in public health. Articles in English and Spanish were analyzed, published between January 2021 and December 2025. The search was conducted in the Google Scholar, PubMed/Medline, Wiley, and Scopus databases. The results reveal that integrating these fields improves patient-centered care, service accessibility, participation, and coordination through digital strategies. However, challenges persist, such as inadequate professional training, limited inclusion of interdisciplinary curricula, and insufficient public policy frameworks. To overcome these barriers, investment in interdisciplinary education and the strategic implementation of digital technologies is necessary to improve the oral health of older adults and ensure their overall well-being.

Background/Objectives: Telemedicine offers significant potential to improve the quality and accessibility of geriatric care, particularly in resource-constrained settings. However, its effective implementation depends largely on healthcare professionals’ acceptance and willingness to use such systems. Drawing on an extended Technology Acceptance Model (TAM), this study examines the determinants of doctors’ and nurses’ intentions to adopt telemedicine for elderly care in Algeria, with particular emphasis on self-efficacy and institutional support. Methods: This cross-sectional study employed a structured questionnaire administered to 130 healthcare professionals, including physicians and nurses, in Algeria. Hierarchical multiple regression analysis was conducted to test the proposed hypotheses and assess the incremental explanatory power of the extended model. Results: The extended TAM accounted for 48.7% of the variance in intention to use telemedicine. Institutional support (β = 0.432, p < 0.001) and self-efficacy (β = 0.264, p = 0.001) emerged as the strongest predictors. Perceived ease of use (β = 0.178, p = 0.038) and perceived usefulness (β = 0.139, p = 0.021) also had significant positive effects. The inclusion of self-efficacy and institutional support increased the model’s explanatory power by 23.5%. Conclusions: The findings highlight the critical role of organizational support mechanisms, digital competencies, and system usability in fostering telemedicine adoption among healthcare professionals. The study provides practical implications for policymakers and healthcare institutions, emphasizing the need for targeted training programs, supportive infrastructure, and institutional policies that enhance confidence and facilitate the integration of telemedicine into clinical workflows.

Preventive health behaviors play a critical role in reducing disease risks and improving public health outcomes, particularly among vulnerable populations such as women in rural communities. However, limited research has explored the determinants of intentions to adopt preventive health behaviors in developing contexts among women in rural communities. This study applies and extends the Theory of Planned Behavior (TPB) to examine these determinants in Algeria. A cross-sectional study was conducted using convenience sampling among 205 women in rural communities aged 20–60 years across five Algerian cities. Data were collected through a self-administered questionnaire and analyzed using hierarchical multiple regression. The results indicate that attitude, subjective norms, and perceived behavioral control have significant positive effects on behavioral intention. The inclusion of health literacy significantly enhances the model’s explanatory power, with higher literacy associated with stronger intentions. In contrast, perceived healthcare discrimination does not have a statistically significant effect. The extended model explains 57.5% of the variance in behavioral intention. These findings underscore the importance of psychosocial and informational factors in shaping preventive health intentions and support the extension of TPB in this context. They also provide practical implications for policymakers and healthcare practitioners to design targeted social marketing interventions aimed at improving preventive health behaviors and reducing health disparities among women in rural communities.

Underserved communities face persistent challenges due to limited access to healthcare services. Digital volunteering offers opportunities for healthcare professionals to support these populations remotely. This study examined factors associated with healthcare workers’ intentions to participate in digital healthcare volunteering in Algeria. An extended technology acceptance model was used, incorporating perceived organizational support (OS), altruism, and social responsibility. A convenience sample of 142 healthcare workers completed a survey, and hierarchical regression analysis was conducted. Results indicated that perceived ease of use, social responsibility, altruism, perceived OS, and perceived usefulness were each significantly associated with intentions to engage in digital volunteering. The extended model explained 75.6% of the variance in intention, highlighting the relevance of psychological, organizational, and ethical factors. These findings provide insights for policymakers, healthcare organizations, and developers seeking to support digital volunteering initiatives. Limitations include the cross-sectional design and the use of convenience sampling, which may affect generalizability. Future research should consider longitudinal designs, larger and more diverse samples, and cross-cultural comparisons to validate and extend these findings.

Background: There is a need to develop comprehensive guidelines to encourage the promotion of oral hygiene care among older adults and to assist caregivers in this endeavor, taking into consideration the specific challenges that arise from aging, comorbidities and caregiving. Methods: This review was conducted by searching across relevant literature from meta-databases including Academic Google, PubMed, Scielo and Scopus for studies published from 2020 to 2024. PRISMA guidelines were followed. We included articles that described oral hygiene methods, caregiver education and mechanization status of older adults. Common themes, best practices, and gaps in current guidelines were tracked using extracted and analyzed data. Results: The review revealed multiple factors affecting the oral hygiene of older adults, with themes relating to physical impairment, cognitive dysfunction, and caregiver involvement. Highlighted between the approaches are individualized therapy for oral hygiene, caregiver education, and the use of technology to improve adherence to oral hygiene. Barriers like dental care access, underlying medical conditions complicating dental treatments, and cost considerations were identified. Conclusions: The findings emphasize the necessity of clear recommendations that can help caregivers and advance dental care for older adults.

Dental education is experiencing a considerable transformation across emerging technologies. This chapter presents a narrative review around the impact of virtual simulators, teledentistry, 3D printing, artificial intelligence, virtual and augmented reality on dental training. It was analyzed 17 articles published between 2020 and 2024 in PubMed, SciELO, and Google Scholar. The results revealed that simulators offer safe practice environments, teledentistry facilitates remote care and 3D printing with AI enhances personalized prosthetics and diagnosis. In addition, virtual and augmented reality are bringing the surgical precision to new levels. While there are still hurdles to overcome, such as figuring out how to weave these technologies into the curriculum, training the faculty, protecting data, and making sure everyone has equal access. This overview illustrates an immense progress and challenges in the digital transformation of dental education.

The rapid expansion of digital platforms has significantly influenced consumer purchasing behaviors, particularly in the agri-food sector. Therefore, this paper investigates the key factors driving customers’ intention to use green agri-food delivery apps (GAFDAs) by integrating trust and electronic word of mouth (eWOM) into the Theory of Planned Behavior (TPB) framework. Additionally, this study examines gender as a moderating variable, assessing whether its influence alters the relationships between key determinants and behavioral intention. Data were collected from 252 Algerian consumers, and the proposed model was tested using SmartPLS 4 and SPSS 26.0. The results confirm that attitude, subjective norms, perceived behavioral control (PBC), trust, and eWOM positively and significantly influence the intention to use GAFDAs, with PBC emerging as the strongest predictor. Moreover, gender moderates the effect of trust on behavioral intention, with trust significantly influencing men’s adoption decisions but not those of females. In contrast, subjective norms and PBC are stronger predictors for female consumers. These findings highlight the importance of gender-specific marketing strategies to enhance GAFDA adoption. This study contributes to the literature by extending TPB with trust, eWOM, and gender moderation, offering valuable insights for marketers, policymakers, and app developers promoting sustainable food consumption.

The integration of artificial intelligence (AI) in language education is gaining traction, yet students' adoption intentions remain underexplored. This study examines the factors influencing Algerian university students' intentions to use AI for English language learning. A convenience sample of 145 students participated, and multiple linear regression analysis was conducted to test four hypotheses. Findings reveal that perceived ease of use, perceived usefulness, attitudes toward AI, and perceived support all significantly and positively influence students' intentions to adopt AI for language learning. These results suggest that user-friendly AI tools, clear benefits, positive attitudes, and institutional or peer support can enhance AI adoption in educational settings. The study contributes to understanding AI acceptance in language learning and provides insights for educators and developers aiming to integrate AI effectively into English language education.