Slipping through the cracks: Just how underrepresented are minorities within the dental specialties?

Unravelling the impact of dental workforce training and education programmes on policy evolution: a mixed-method study protocol

BACKGROUND

The dental workforce plays a crucial role in delivering quality oral healthcare services, requiring continuous training and education to meet evolving professional demands. Understanding the impact of dental workforce training and education programmes on policy evolution is essential for refining existing policies, implementing evidence-based reforms and ensuring the growth of the dental profession. Therefore, this study protocol aims to assess the influence of dental workforce training and education programmes on policy evolution in Malaysia.

METHODS

A mixed-method research design will be employed, combining quantitative surveys and qualitative interviews. Stakeholder theory and policy change models will form the theoretical framework of the study. Participants from various stakeholder groups will be recruited using purposive sampling. Data collection will involve surveys and one-on-one semi-structured interviews. Descriptive statistics, inferential analysis and thematic analysis will be used to analyse the data. Integration of quantitative and qualitative data will be used to provide a comprehensive understanding of the data.

DISCUSSION

This study will shed light on factors influencing policy decisions related to dental education and workforce development in Malaysia. The findings will inform evidence-based decision-making, guide the enhancement of dental education programmes and improve the quality of oral healthcare services. Challenges related to participant recruitment and data collection should be considered, and the study's unique contribution to the existing body of knowledge in the Malaysian context will be discussed.

Trends in postgraduate dental training in the United States

OBJECTIVE

This study examines the individual, educational, and policy factors that predict dentists pursuing postgraduate dental (PGD) training.

METHODS

Individual dentist records from the 2017 American Dental Association Masterfile were linked with pre-doctoral training attributes and state-level dental policy factors. Generalized logistic models, adjusted for individual, educational, and policy factors, were used to predict: (1) attending any PGD program, and (2) primary (i.e., advanced general practice, pediatrics, or dental public health, per the Health Resources and Services Administration [HRSA]) versus specialty care.

RESULTS

The majority of new PGD residency slots (77%) were in primary care. Women held 56% of primary care slots; men held 62% of specialty slots. Individual characteristics that predicted PGD primary care training included being Black, Hispanic, Asian, or other race; being male or older age reduced the odds. Pre-doctoral school characteristics that predicted PGD primary care training included having a pre-doctoral HRSA grant, affiliation with an academic medical center, and being a historically Black college/university; being a private school or in a small metro area lowered the odds. At the policy level, the strongest predictors of attending PGD primary care training are a residency requirement in the state you currently practice in and federal graduate medical education (GME) investment per residency slot.

CONCLUSION

Pursuing PGD training is variable based on the race/ethnicity/gender of the dentist. Federal investments in pre-doctoral dental education and GME can drive equity, as they significantly increase the odds that dentists will go on to PGD training, as do state licensure requirements.

Practice patterns of postgraduate trained dentists in the United States

OBJECTIVE

Postgraduate dental (PGD) primary care training has grown significantly. This study examines the individual, educational, community, and policy factors that predict practice patterns of PGD-trained dentists.

STUDY DESIGN

Individual dentist records from the 2017 American Dental Association Masterfile, with indicators of Medicaid participation and practice in a Federally Qualified Health Center (FQHC), were linked to postdoctoral training, community/practice location, and state policy factors. Generalized logistic models, adjusted for these factors, were used to predict PGD-trained dentists: (1a) serving Medicaid children, (1b) accepting new Medicaid patients, and (2) working in an FQHC.

RESULTS

Individual attributes that predicted serving Medicaid children included all race/gender combinations (vs. White females), and foreign-trained dentists and contractors/employees/associates (vs. practice owners). Black women are most likely to work in an FQHC. Residency attributes that predicted serving Medicaid children and working in an FQHC were Health Resources and Services Administration postdoctoral funding and being community based. Dentists practicing in rural or high-poverty communities were more likely to serve Medicaid children and work at FQHCs. States with higher levels of graduate medical education investment, higher Medicaid rates, and more generous adult dental Medicaid benefits increased the likelihood of serving Medicaid children, while states with more expansive adult dental Medicaid benefits increased the likelihood of working in an FQHC.

CONCLUSION

Federal training investment in PGD education combined with Medicaid payment and coverage policies can strongly impact access to dental care for vulnerable populations. Yet, oral health equity cannot be achieved without increasing dentist workforce diversity.