Patterns of prospective memory errors differ in persons with multiple sclerosis.

INTRODUCTION: Prospective memory (PM) deficits have been documented in multiple sclerosis (MS). This study aimed to explore the specific types of errors made by persons with MS (PwMS), including differences between PwMS and healthy controls (HC) and PwMS who do and do not have impairments in processing speed and/or verbal learning and memory. METHOD: PwMS (n = 111) and HC (n = 75) completed the Memory for Intentions Test (MIST), an objective measure of PM that has five types of errors that can be coded (PM failure, task substitution, loss of content, loss of time, and random errors). The number and types of PM errors were calculated for the overall MIST and six subscales, which break down performance by types of delay (2-Minute and 15-Minute), cue (Time and Event), and response (Verbal and Action). Impairment was defined as performing < 1.5 SD on either the Symbol Digit Modalities Test (SDMT) or Rey Auditory Verbal Learning Test (RAVLT). Bivariate analyses were used to examine group differences, with post-hoc pairwise comparisons with Bonferroni corrections. RESULTS: Nearly 93% of PwMS made at least one PM error, compared to 76% of HC (V = .24, p = .001). The most commonly made PM error by PwMS was loss of content errors (45.0%). PwMS made significantly more task substitution errors (26.4% vs. 7.6%, p < .001) and fewer loss of time errors (9.5% vs. 21.2%, p < .001) than HC. Impaired PwMS made more errors than non-impaired PwMS, specifically PM failures on time-based tasks. CONCLUSIONS: PM errors are common in PwMS, particularly when there are longer delays and time-based cues. Not only do PwMS make more errors than demographically similar HC, but they exhibit different cognitive process failures.

Traumatic brain injury screening and neuropsychological functioning in women who experience intimate partner violence.

Objective: The potential for traumatic brain injury (TBI) to occur as the result of intimate partner violence (IPV) has received increased interest in recent years. This study sought to investigate the possible occurrence of TBI in a group of women who survived IPV and to measure the specific profile of cognitive deficits using standardized neuropsychological measures. Method: A comprehensive questionnaire about abuse history; neuropsychological measures of attention, memory and executive functioning; and measures of depression, anxiety and post-traumatic stress disorder were given to women who were IPV survivors, women who were sexual assault (SA) survivors, and a comparison group of women who did not experience IPV or SA. Results: Overall, rates of potential TBI, as measured by the HELPS brain injury screening tool, were high and consistent with previous studies. Consistent with potential TBI, lower scores were demonstrated on measures of memory and executive functioning compared to survivors of SA or those not exposed to violence. Importantly, significant differences on measures of memory and executive functioning remained, after controlling for measures of emotion. Of note, cognitive changes were highest among women who experienced non-fatal strangulation (NFS) compared to IPV survivors who did not. Conclusions: Rates of TBI may be high in women who survive IPV, especially those who survive strangulation. Better screening measures and appropriate interventions are needed as well as larger studies that look at social factors associated with IPV.

Discrimination and Dignity Experiences in Prior Oral Care Visits Predict Racialized Oral Health Inequities Among Nationally Representative US Adults.

Racism, an oppressive and fallacious sociopolitical hierarchy, is a fundamental cause of oral health inequities worldwide. Everyday discrimination is associated with worse self-rated oral health, toothache and adult tooth loss, and lower oral care utilization. Few studies examine discrimination or microaggressions within oral care settings or their effects on oral health outcomes. We adapted the seven-item Everyday Discrimination Scale to the oral care setting (EDSOC); developed a four-item Dignity in Oral Care Scale (DOCS); fielded them to a probability-based nationally representative sample of US households as part of the 2022 State of Oral Health Equity in America survey (SOHEA, n = 5682); and examined associations between EDSOC and DOCS scores and three outcomes: self-rated oral health, duration since last oral care visit, and planning for future preventive/routine oral care. Nearly, all EDSCOC and DOCS measures were significantly associated with oral health outcomes. Discrimination experience in dental settings had an additive effect on reporting fair/poor oral health and a suppressive effect on planning a future dental visit. Indignity experience doubled-to-quadrupled the likelihood of reporting fair/poor oral health, not having visited a dentist in 2 years, and not planning a future oral care visit. Racio-ethnically minoritized patients may experience the unjust double bind of resolving urgent dental or completing preventive services needs amidst being treated in a discriminatory manner or without dignity. Oral health stakeholders should invest more effort to understand relationships between racism and oral health outcomes and introduce evidence-based interventions to ultimately abolish this societal harm.

Measurement of prospective memory in Spanish speakers.

Introduction: This study aimed to provide preliminary evidence on the psychometric properties of a measure of prospective memory in Spanish speakers, the Memory for Intentions Test (MIST) Spanish translation. Methods: In addition, this study investigated whether acculturation influenced performance on the MIST. Finally, we measured other cognitive factors that might be impacting the relationship between culture and prospective memory performance. These factors were working memory, autobiographical memory, and episodic future thought. Results: Overall, the psychometric properties of the Spanish MIST appear to be similar to the English language MIST, but our sample size was too small to allow for the creation of a normative database. The MIST recognition item was significantly related to years of education and years of speaking either Spanish or English. Discussion: This suggests a need to investigate ways to improve the test to eliminate these effects. In addition, acculturation was related to the measure of episodic future thought.

Heightened vigilance and perceived discrimination in dental trainees' readiness for clinical practice.

PURPOSE/OBJECTIVE: The aims of this study were to examine associations between heightened vigilance and perceived discrimination on readiness for clinical practice and to examine the mediating effects of social support and resilience. METHODS: A survey was distributed to dental trainees (dental and dental hygiene students) enrolled at a US dental school located in the mid-Atlantic region. The survey assessed readiness for clinical practice and included measures of perceived discrimination, heightened vigilance, and the following wellness measures: perceived stress, resilience, anxiety, social support, and coping. Adjusted for gender, and race/ethnicity, we regressed heightened vigilance and perceived discrimination independently on students' readiness for clinical practice. To assess mediation, we computed the direct effects of heightened vigilance and perceived discrimination and potential indirect effects mediated through social support and resilience. RESULTS: A total of 250 students who completed the survey had complete data on all variables. Five percent identified as Black or African Americans, 34% as Asians, and 8% as Hispanic/Latino. Sixty-two percent were female and 91% were dental students. The overall mean (SD) heightened vigilance and perceived discrimination scores were 18.9 (4.9) and 10.5 (7.6), respectively. Only the mean score for heightened vigilance differed significantly by race/ethnicity (p = 0.02). Higher heightened vigilance (odds ratio [OR] = 0.75 95% confidence interval [CI]: 0.25, 2.23), and perceived discrimination (OR = 0.52, 95% CI: 0.33, 0.88) scores were independently associated with lower adjusted odds of reporting high confidence in readiness for clinical practice even after adjusting for the mediating effects of social support and resilience, although the association for heightened vigilance was not statistically significant. CONCLUSIONS: Heightened vigilance and perceived discrimination appear to negatively impact dental trainees' career readiness. Intentional efforts to prioritize an anti-racism approach within dental education programs and patient care across the nation are warranted.

Calibrating a Transformer-Based Model's Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study.

BACKGROUND: Deep learning offers great benefits in classification tasks such as medical imaging diagnostics or stock trading, especially when compared with human-level performances, and can be a viable option for classifying distinct levels within community-engaged research (CEnR). CEnR is a collaborative approach between academics and community partners with the aim of conducting research that is relevant to community needs while incorporating diverse forms of expertise. In the field of deep learning and artificial intelligence (AI), training multiple models to obtain the highest validation accuracy is common practice; however, it can overfit toward that specific data set and not generalize well to a real-world population, which creates issues of bias and potentially dangerous algorithmic decisions. Consequently, if we plan on automating human decision-making, there is a need for creating techniques and exhaustive evaluative processes for these powerful unexplainable models to ensure that we do not incorporate and blindly trust poor AI models to make real-world decisions. OBJECTIVE: We aimed to conduct an evaluation study to see whether our most accurate transformer-based models derived from previous studies could emulate our own classification spectrum for tracking CEnR studies as well as whether the use of calibrated confidence scores was meaningful. METHODS: We compared the results from 3 domain experts, who classified a sample of 45 studies derived from our university's institutional review board database, with those from 3 previously trained transformer-based models, as well as investigated whether calibrated confidence scores can be a viable technique for using AI in a support role for complex decision-making systems. RESULTS: Our findings reveal that certain models exhibit an overestimation of their performance through high confidence scores, despite not achieving the highest validation accuracy. CONCLUSIONS: Future studies should be conducted with larger sample sizes to generalize the results more effectively. Although our study addresses the concerns of bias and overfitting in deep learning models, there is a need to further explore methods that allow domain experts to trust our models more. The use of a calibrated confidence score can be a misleading metric when determining our AI model's level of competency.

Conceptualizing inequities and oppression in oral health research.

Major sociohistorical processes have profound effects on oral health, with impacts experienced through structural oppression manifested in policies and practices across the lifespan. Structural oppression drives oral health inequities and impacts population-level oral health. In this global perspective paper, we challenge old assumptions about oral health inequities, address misleading conceptualizations in their description and operation and reframe oral health through the lens of intersecting systems of oppression. Furthermore, we emphasize the need for oral health researchers to explore causal pathways through which oppression harms oral health and engage in social science concepts to understand the root causes of oral health inequities fully. Finally, we call on policymakers, dental scholars and decision makers to consider health equity in all policies and to take a systems-oriented approach to effectively address oral health inequities.

Appointment attendance behaviors in multiple sclerosis: Understanding the factors that differ between no shows, short notice cancellations, and attended appointments.

BACKGROUND: There has yet to be an examination of how appointment attendance behaviors in multiple sclerosis (MS) are related to scheduling metrics and certain demographic, clinical, and behavioral factors such as cognitive functioning and personality traits. This study aimed to examine the factors that differ between no shows (NS), short notice cancellations (SNC), and attended appointments. METHODS: Participants (n = 110) were persons with MS who were enrolled in a larger cross-sectional study, during which they completed a battery of neuropsychological measures. Data about their appointments in three MS-related clinics the year prior to their study evaluation were extracted from the medical record. Bivariate analyses were done, with post-hoc tests conducted with Bonferroni corrections if there was an overall group difference. RESULTS: A higher number of SNC were noted during the winter, with 22.4% being due to the weather. SNC were also more common on Thursdays, but less frequent during the early morning time slots (7am to 9am). In contrast, NS were associated with lower annual income, weaker healthcare provider relationships, lower self-efficacy, higher levels of neuroticism, depressive symptom severity, and health distress, and greater cognitive difficulties, particularly with prospective memory. CONCLUSIONS: While SNC are related to clinic structure and situational factors like the weather, NS may be more influenced by behavioral issues, such as difficulty remembering an appointment and high levels of distress. These findings highlight potential targets for reducing the number of missed appointments in the clinic, providing opportunities for improved healthcare efficiency and most importantly health.

"Like pouring salt in a wound": A qualitative exploration of the consequences of unmet housing needs for cancer patients and survivors in New York City.

OBJECTIVE: To identify consequences of unmet housing needs in the period following cancer diagnosis. DESIGN: Qualitative descriptive design. PARTICIPANTS: New York City-based cancer patients and survivors (n = 21) who reported experience of unmet housing needs while receiving cancer treatment. Key informants (n = 9) with relevant expertise (e.g. oncology social workers). METHODS: One-time semi-structured telephone or in-person interviews were conducted with all participants. Inductive thematic coding was conducted using a pragmatic paradigm. FINDINGS: Four categories of consequences emerged: 1) cancer management and health (rest and recovery, illness/injury risk, medical care); 2) psychological (stress and anxiety, lack of control and independence, self-esteem/pride, sadness/depression, cancer coping); 3) social (relationships, consequences for others, isolation); and 4) standard of functional living. CONCLUSION: The simultaneous experience of cancer and unmet housing needs is broadly burdensome. IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS: Screening and resources for addressing unmet housing needs must be prioritized to holistically care for patients.

Refining the process: Safety net dental professionals' experiences with teledentistry implementation during the first year of COVID-19.

OBJECTIVES: Teledentistry helped dentistry adapt to pandemic-era challenges; little is known about dental professionals' teledentistry experiences during this time. This analysis sought to understand professionals' pandemic teledentistry experiences and expectations for the modality's future. METHODS: We conducted virtual individual interviews (n = 21) via Zoom to understand how federally qualified health centers (FQHCs) delivered oral care during the first year of the pandemic, including but not limited to the use of teledentistry. We independently coded each transcript, then identified themes and sub-themes. RESULTS: We identified three major themes: (1) Logistical and equity considerations shaped teledentistry's adoption; (2) Team-based factors influenced implementation; and (3) Teledentistry's future is as-yet undetermined. CONCLUSIONS: Experiences with teledentistry during the first year of COVID-19 varied substantially. Future directions should be more deliberate to counter the urgency of pandemic-style implementation and must address appropriate use, reimbursement guidance, patient and provider challenges, and customizability to each clinic's context.

Inhibitory Control Training Improves Attention Deficit-Hyperactivity Disorder Symptoms and Externalizing Behavior.

BACKGROUND: Based on dysexecutive function theory of Attention deficit-hyperactivity disorder (ADHD), inhibitory control plays a crucial role in ADHD symptoms and respective behavioral problems. METHODS: In the present study, 30 preschoolers with ADHD were recruited in a random clinical trial design in two control and intervention groups. The Flanker and Go/No-Go tasks, Swanson, Nolan, and Pelham Rating Scale, and Child Behavior Checklist were used for assessment at baseline, after the intervention, and 1-month follow-up sessions. The program for attentive rehabilitation of inhibition and selective attention (PARISA) was used for intervention in 10-12 sessions. RESULTS: Findings showed an improvement in prepotent inhibition and interference control in the intervention group. Furthermore, the hyperactivity/impulsivity symptoms were ameliorated, and the externalizing behavioral problems were improved after the intervention. CONCLUSION: Inhibitory control in preschoolers with ADHD is trainable, and the training gain could be transferred to ADHD symptoms and externalizing behavior.

Identifying prospective memory deficits in multiple sclerosis: Preliminary evaluation of the criterion and ecological validity of a single item version of the memory for intentions test (MIST).

Objectives: Difficulties with prospective memory (PM) are not routinely assessed in persons with multiple sclerosis (MS) even though they can impact daily functioning. This study aimed to examine the preliminary criterion and ecological validity of a highly abbreviated Memory for Intentions Test (MIST) intended to serve as an initial screening of PM in persons with MS. Methods: Participants (n = 112) were classified as impaired if they performed 1.5 standard deviations below the normative mean on the MIST. Individual MIST trials with adequate difficulty and discriminability were examined using receiver operating characteristic analyses, with their classification accuracies, sensitivities, and specificities compared to each other. Regressions were run to evaluate their ecological validity, with appointment attendance and employment as the outcomes. Results: Two trials had a classification accuracy of ≥80%: Trial 3 (79% sensitivity, 84% specificity) and Trial 4 (57% sensitivity, 91% specificity). These two trials had comparable specificity (p=.127), with Trial 3 having slightly higher sensitivity (p=.083). Only Trial 4 was significantly associated with appointment attendance (b = 1.63, p=.047) and unemployment (aOR = 11.20, p=.027). Discussion:Trial 4 of the MIST, a verbal task with a time-based cue that requires participants to complete a pre-specified response after a 15-minute delay, has the potential to be a screener for PM.

Building sustainable approaches to recruit, retain, and professionalize Black, Latinx, and American Indian students interested in dental careers.

BACKGROUND: Only twelve percent of dentists in 2020 self-identified as being Black, Latinx, or "Other," which includes American Indian. Moreover, the proportion of dentists from these groups profoundly fails to reflect the demographic composition of the U.S. overall. Evidence-based, ethically-grounded approaches are needed to successfully and continuously recruit and retain Black, Latinx, and American Indian dental students. We explored the barriers and opportunities to sustainable pathways to the dental profession. METHODS: We conducted focus groups in 2021 with current Black, Latinx, and American Indian dental students and key informant interviews with dental school administrators using elicitation guides developed for this project. We completed a thematic analysis of data to identify and check findings to strengthen validity. RESULTS: We identified the following successes, challenges, and opportunities for recruiting Black, Latinx, and American Indian dental students. Successes include institutional investment to build and sustain pathways, yet many of these practices are institution- or administrator-specific and may defy replication. Challenges are more widespread, and include weak accreditation standards; systemic bias and failure to consider candidates holistically in admissions decisions; costs associated with admissions test preparation and volunteer shadowing; transportation, geography, school culture and language/citizenship status. Opportunities include mentoring, scholarships, removing bias from admissions, institutional financial investment in pathway programs, and peer norming among programs. CONCLUSION: Building sustainable pathways involve early support of students, removing systemic biases, and institutional commitments to equity to create a workforce to meet population needs.

Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study.

BACKGROUND: Community-engaged research (CEnR) is a research approach in which scholars partner with community organizations or individuals with whom they share an interest in the study topic, typically with the goal of supporting that community's well-being. CEnR is well-established in numerous disciplines including the clinical and social sciences. However, universities experience challenges reporting comprehensive CEnR metrics, limiting the development of appropriate CEnR infrastructure and the advancement of relationships with communities, funders, and stakeholders. OBJECTIVE: We propose a novel approach to identifying and categorizing community-engaged studies by applying attention-based deep learning models to human participants protocols that have been submitted to the university's institutional review board (IRB). METHODS: We manually classified a sample of 280 protocols submitted to the IRB using a 3- and 6-level CEnR heuristic. We then trained an attention-based bidirectional long short-term memory unit (Bi-LSTM) on the classified protocols and compared it to transformer models such as Bidirectional Encoder Representations From Transformers (BERT), Bio + Clinical BERT, and Cross-lingual Language Model-Robustly Optimized BERT Pre-training Approach (XLM-RoBERTa). We applied the best-performing models to the full sample of unlabeled IRB protocols submitted in the years 2013-2019 (n>6000). RESULTS: Although transfer learning is superior, receiving a 0.9952 evaluation F1 score for all transformer models implemented compared to the attention-based Bi-LSTM (between 48%-80%), there were key issues with overfitting. This finding is consistent across several methodological adjustments: an augmented data set with and without cross-validation, an unaugmented data set with and without cross-validation, a 6-class CEnR spectrum, and a 3-class one. CONCLUSIONS: Transfer learning is a more viable method than the attention-based bidirectional-LSTM for differentiating small data sets characterized by the idiosyncrasies and variability of CEnR descriptions used by principal investigators in research protocols. Despite these issues involving overfitting, BERT and the other transformer models remarkably showed an understanding of our data unlike the attention-based Bi-LSTM model, promising a more realistic path toward solving this real-world application.

From describing disparities to understanding why disparities exist: Anti-racist methods to support dental public health research.

Racism is understudied in the oral health literature at the same time that race is overutilized as an explanatory factor in study design. Social and behavioral methodologies offer conceptual models that can be used to include racism in dental public health questions. In addition, interdisciplinary and mixed methods approaches allow for understanding racism as an underlying cause of social and health disparities and exploring solutions that address historical, institutional, social, political, and economic drivers of oral health inequity, while recognizing the limits of measuring racism quantitatively. In a collective acknowledgement of the limitations of conventional methods, there are new opportunities to explore how qualitative and mixed methods research can serve as drivers for both social justice and health equity, while building and sustaining a diverse research workforce that can better close these disparities and offer antiracist solutions to oral health inequities.

Developing a classification system and algorithm to track community-engaged research using IRB protocols at a large research university.

Community-engaged research (CEnR) is now an established research approach. The current research seeks to pilot the systematic and automated identification and categorization of CEnR to facilitate longitudinal tracking using administrative data. We inductively analyzed and manually coded a sample of Institutional Review Board (IRB) protocols. Comparing the variety of partnered relationships in practice with established conceptual classification systems, we developed five categories of partnership: Non-CEnR, Instrumental, Academic-led, Cooperative, and Reciprocal. The coded protocols were used to train a deep-learning algorithm using natural language processing to categorize research. We compared the results to data from three questions added to the IRB application to identify whether studies had a community partner and the type of engagement planned. The preliminary results show that the algorithm is potentially more likely to categorize studies as CEnR compared to investigator-recorded data and to categorize studies at a higher level of engagement. With this approach, universities could use administrative data to inform strategic planning, address progress in meeting community needs, and coordinate efforts across programs and departments. As scholars and technical experts improve the algorithm's accuracy, universities and research institutions could implement standardized reporting features to track broader trends and accomplishments.

Dental safety net providers' experiences with service delivery during the first year of COVID-19 should inform dental pandemic preparedness.

BACKGROUND: COVID-19 disrupted oral health care delivery and revealed gaps in dental public health emergency preparedness and response (PHEPR). Emerging dental PHEPR frameworks can be strengthened by means of understanding the experiences of the discipline's frontline workers-dental safety net providers-during the initial phase of the COVID-19 pandemic. METHODS: Experienced qualitative researchers interviewed dental safety net directors and clinicians (n = 21) in 6 states to understand their experiences delivering care from March 2020 through February 2021. Interview transcriptions were analyzed using iterative codes to identify major and minor themes. Conventional qualitative validity checks were used continuously to ensure impartiality and rigor. RESULTS: Three major themes were identified: unpredictability caused concerns among staff members and patients, while also deepening fulfilling collaborations; care delivery was guided by means of various resources that balanced safety, flexibility, and respect for autonomy; and pandemic-driven changes to oral health care delivery are timely, long-lasting, and can be somewhat fraught. CONCLUSIONS: The human, material, and policy resources that providers used to control infections, serve vulnerable patients, maintain clinic solvency, and address provider burnout during the first year of the COVID-19 pandemic can improve dental PHEPR. PRACTICAL IMPLICATIONS: Dental PHEPR should address concerns beyond infection control within and between practice models, governmental agencies, and professional organizations. Examples of such concerns include, but are not limited to, guideline synchronization, materials exigencies, task shifting, and provider resilience.

Oral Health, Health Service Utilization, and Age at Arrival to the U.S. among Safety Net Patients.

BACKGROUND: Immigrants' oral health disparities have not been adequately investigated using a lifecourse approach, which investigates the cumulative effects of risk and protective exposures among other considerations. METHODS: We examined self-reported oral health outcomes and health care appointment outcomes among a sample of patients enrolled at a federally qualified health center in Richmond Virginia (N = 327) who were categorized into three groups by approximate age at arrival to the U.S. RESULTS: Study participants who arrived to the U.S. prior to age 18 had better retention of natural dentition, better oral health related quality of life, and a lower proportion of dental appointments to address pain than those who arrived after age 18 or were born in the U.S. CONCLUSIONS: Im/migrants' differentiated oral health outcomes by age at arrival to the U.S. suggest the relevance of lifecourse factors, for example the cumulative effects of risk and protective exposures, and confirm the merits of lifecourse studies of im/migrants' oral health.

The Role of Cognitive Impairment on Physical Therapy Attendance and Outcomes in Multiple Sclerosis.

BACKGROUND AND PURPOSE: Many persons with multiple sclerosis (PwMS) experience cognitive impairments, which may affect their ability to engage in physical therapy. There is limited information on how cognitive impairments are associated with PwMS' ability to participate and improve their functional outcomes. This study aimed to assess the relationship between cognitive functioning and PwMS' attendance, total goal attainment, and functional improvement following physical therapy intervention. METHODS: Participants (n = 45) were PwMS who participated in a larger self-management study and enrolled in physical therapy within the past 2 years. Objective cognitive functioning was examined using tests of prospective memory, retrospective memory, working memory, and processing speed, along with a self-report measure. Bivariate analyses were conducted to examine the relationship between cognitive functioning and each physical therapy outcome (session attendance, attaining goals, and changes in functional outcome measures), followed by logistic regressions with age, education, gender, and disability level as covariates. RESULTS: Difficulty learning new verbal information was associated with a greater likelihood of "no showing" one or more of their physical therapy sessions. Reductions in working memory and processing speed were associated with PwMS not meeting all their rehabilitation goals. Despite deficits in new learning, memory, and processing speed, 85.2% of those with pre-/postscores showed improvements in at least one functional outcome measure following physical therapy intervention. DISCUSSION AND CONCLUSIONS: These findings demonstrate the ability for PwMS to make functional motor gains despite the presence of cognitive impairments and highlight the potential contributions of cognitive functioning on attendance and goal attainment of physical therapy intervention.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A362, which includes background, methods, results, and discussion in the authors' own voices).

Oral Health Knowledge, Barriers to Dental Care, and Awareness of a Medicaid Pregnancy Dental Coverage Among Reproductive-Age Women.

Objectives: Oral health is an integral part of women's health, yet many women face barriers and go without necessary dental care. The objectives of this study were to (1) examine and compare pregnancy-related oral health knowledge and barriers to dental care access during pregnancy among women with private and public insurance and (2) estimate awareness of available Medicaid pregnancy dental benefit among Medicaid-enrolled women and explore associated factors. Methods: A cross-sectional survey was administered to a convenience sample of 21- to 45-year-old women (n = 187) visiting a large urban academic health center in Virginia. Data on pregnancy-related oral health knowledge, barriers to dental care access, Medicaid dental benefit awareness, health insurance, socio-demographics, health information source, and last dental visit were collected. Chi-square tests, t-tests, and multivariable regression were used to examine associations at p ≤ 0.05. Results: More than half of the women reported private insurance (52.4%), 40.3% reported Medicaid, and 8.3% reported being uninsured. Medicaid-enrolled women reported a lower prevalence of a routine dental checkup in the past year (44% vs. 71%, p = 0.002), lower knowledge scores (2.9 vs. 3.6, p < 0.001), and more barriers to accessing dental care during pregnancy compared with privately insured women. One in every three Medicaid-enrolled women (34%) was unaware of the Medicaid pregnancy dental benefit. Benefit awareness was associated with the receipt of health information from a health care source (p = 0.030) and a high oral health knowledge score (p = 0.018). Conclusions: There was a significant gap in dental care use and knowledge between Medicaid-enrolled and private-insured women in our study sample. Targeted programs should be developed to educate women about the importance of oral health and share information about available Medicaid dental coverage to reduce barriers to dental care during pregnancy.