Dental health status, dentist visiting, and dental insurance of Asian immigrants in Canada

Genetic discrimination in insurance and employment based on personalized risk stratification for breast cancer screening

Background

The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) incorporates the effects of common genetic variants, from polygenic risk scores, pathogenic variants in major breast cancer (BC) susceptibility genes, lifestyle/hormonal risk factors, mammographic density, and cancer family history to predict risk levels of developing breast and ovarian cancer. While offering multifactorial risk assessment to the population could be a promising avenue for early detection of BC, obstacles to its implementation including fear of genetic discrimination (GD), could prevent individuals from undergoing screening.

Methods

The aim of our study was two-fold: determine the extent of legal protection in Canada available to protect information generated by risk prediction models such as the BOADICEA algorithm through a literature review, and then, assess individuals' knowledge of and concerns about GD in this context by collecting data through surveys.

Results

Our legal analysis highlighted that while Canadian employment and privacy laws provide a good level of protection against GD, it remains uncertain whether the Genetic Non-Discrimination Act (GNDA) would provide protection for BC risk levels generated by a risk prediction model. The survey results of 3,055 participants who consented to risk assessment in the PERSPECTIVE I&I project showed divergent perspectives of how the law would protect BC risk level in the context of employment and that a high number of participants did not feel that their risk level was protected from access and use by life insurers. Indeed, 49,1% of participants reckon that the level of breast cancer risk could have an impact on a woman's ability to buy insurance and 58,9% of participants reckon that a woman's insurance might be cancelled if important health information (including level of breast cancer risk) is not given when buying or renewing life or health insurance.

Conclusion

The results indicate that much work needs to be done to improve and clarify the extent of protection against GD in Canada and to inform the population of how the legal framework applies to risk levels generated by risk prediction models.

Multiple approaches to advance health equity in nursing science: Recruitment, data, and dissemination

Ensuring equitable care and health outcomes for all populations is essential in nursing science. However, achieving health equity in nursing science necessitates a multifaceted approach to address the complex factors influencing health disparities. This paper presented the keynote address delivered at the Advanced Methods Conference hosted by the Council for Advancement of Nursing Science in 2023. We identified critical gaps in health equity within nursing science, emphasizing the need for innovative recruitment strategies, comprehensive data analysis, and targeted dissemination efforts. This paper underscores the importance of equity in artificial intelligence research, highlighting issues such as biases in machine learning models and the underrepresentation of minoritized groups. Bridging the current gaps in health equity research within nursing science requires a systematic and forward-thinking approach.

Should ChatGPT Have Some Applicability in the Management of Emergency Dental Care for Emigrant Adults and Children?

How to cite this article: Veseli E, Tovani-Palone MR, Veseli A, et al. Should ChatGPT Have Some Applicability in the Management of Emergency Dental Care for Emigrant Adults and Children? J Contemp Dent Pract 2023;24(11):819-820. Keywords: Artificial intelligence, Dental care, Dentistry, Emigrants and immigrants, Public health.

The role of income and frequency of dental visits in the relationship between dental sealant use and resin fillings after extended coverage: a retrospective cohort study

BACKGROUND

Prevention and treatment services use is closely associated with socioeconomic factors, such as income. This study aimed to investigate the relationship between implementing the sealant program and resin fillings restoration and to explore the role of income and frequency of dental visits in this relationship.

METHODS

This retrospective cohort study used the cohort database from the National Health Information Database of the National Health Insurance Service. The study population comprised 494,731 children born in 2007. A logistic regression model for the experience of resin fillings and a linear regression model for weighted utilization of them were used to identify the independent effects of dental sealants, income, and frequency of dental visits. All analyses were conducted using the SAS Enterprise Guide version 7.1 (SAS Institute Inc., Cary, NC, USA).

RESULTS

The ratio based on income level was almost proportional in all groups except the medical aid group, which had a rate as high as that of the wealthier group. Children without sealants were 1.05 times more likely to have resin fillings than others after adjusting for income level and frequency of visiting dental clinics in the final model. However, an opposite relationship between sealant experiences and resin fillings was observed in the previous model without dental visits. The gap in the weighted resin filling scores according to socioeconomic variables showed a similar tendency.

CONCLUSIONS

Income and frequency of dental visits might be confounding factors for the relationship between dental sealant and resin fillings. It is necessary to consider the complex relationship between socioeconomic indicators and service use while studying oral health inequality.

Dental Insurance Coverage, Dentist Visiting, and Oral Health Status among Asian Immigrant Women of Childbearing Age in Canada: A Comparative Study

OBJECTIVES

This study examined the dental insurance coverage, dentist visits, self-perceived oral health status, and dental problems among Asian immigrant women of childbearing age in contrast to Canadian women of childbearing age and non-Asian immigrant women of childbearing age. Potential barriers to dental care services among Asian immigrant women were explored.

METHODS

This analysis utilized data from the combined Canadian Community Health Survey from 2011 to 2014. The analytical sample consisted of 5737 females whose age was between 20 and 39 years. Multivariable logistic regression models assessed immigrant status and other factors in relation to the indicators of dental health (i.e., dental visit, self-perceived oral health, acute teeth issue, and teeth removed due to decay).

RESULTS

Amongst Asian women immigrants of childbearing age, there was a significantly lower frequency of dentist visits compared to non-immigrant counterparts (OR = 0.53; 95% CI: 0.37-0.76). The most commonly reported reason for not seeking dental care in the last three years was that the "respondent did not think it was necessary". Relative to Canadian born women of same age bracket, Asian women of childbearing age reported fewer acute teeth issues (OR = 0.67; 95% CI: 0.49-0.91) and had a greater risk of tooth extracted due to tooth decay (OR = 3.31; 95% CI: 1.64-6.68). Furthermore, for Asian women immigrants, their major barriers to dental care included low household income (≤$39,999 vs. $40,000-$79,999 OR = 0.26) and a lack of dental insurance (no vs. yes OR = 0.33).

CONCLUSIONS

Asian immigrant women showed lower utilization of dental services than non-immigrant women. A perceived lack of necessity, lower household income, and dental insurance coverage were major barriers to professional dental usage for most Asian immigrants of childbearing age.