Increasing HPV vaccine promotion by dental providers: A clinical trial protocol.

BackgroundDecreased salivary secretion is not only a risk factor for carious lesions in Sjögren’s disease (SD) but also an indicator of deterioration of teeth with every restorative replacement. This study determined the longevity of direct dental restorations placed in patients with SD using matched electronic dental record (EDR) and electronic health record (EHR) data.MethodsWe conducted a retrospective cohort study using EDR and EHR data of Indiana University School of Dentistry patients who have a SD diagnosis in their EHR. Treatment history of patients during 15 years with SD (cases) and their matched controls with at least one direct dental restoration were retrieved from the EDR. Descriptive statistics summarized the study population characteristics. Cox regression models with random effects analyzed differences between cases and controls for time to direct restoration failure. Further the model explored the effect of covariates such as age, sex, race, dental insurance, medical insurance, medical diagnosis, medication use, preventive dental visits per year, and the number of tooth surfaces on time to restoration failure.ResultsAt least one completed direct restoration was present for 102 cases and 42 controls resulting in a cohort of 144 patients’ EDR and EHR data. The cases were distributed as 21 positives, 57 negatives, and 24 uncertain cases based on clinical findings. The average age was 56, about 93% were females, 54% were White, 74% had no dental insurance, 61% had public medical insurance, < 1 preventive dental visit per year, 94% used medications and 93% had a medical diagnosis that potentially causes dry mouth within the overall study cohort. About 529 direct dental restorations were present in cases with SD and 140 restorations in corresponding controls. Hazard ratios of 2.99 (1.48–6.03; p = 0.002) and 3.30 (1.49–7.31, p-value: 0.003) showed significantly decreased time to restoration failure among cases and positive for SD cases compared to controls, respectively. Except for the number of tooth surfaces, no other covariates had a significant influence on the survival time.ConclusionConsidering the rapid failure of dental restorations, appropriate post-treatment assessment, management, and evaluation should be implemented while planning restorative dental procedures among cases with SD. Since survival time is decreased with an increase in the number of surfaces, guidelines for restorative procedures should be formulated specifically for patients with SD.

BackgroundPatient-reported medical histories and medical consults are primary approaches to obtaining patients' medical histories in dental settings. While patient-reported medical histories are reported to have inconsistencies, sparse information exists regarding the completeness of medical providers' responses to dental providers' medical consults. This study examined records from a predoctoral dental student clinic to determine the reasons for medical consults; the medical information requested, the completeness of returned responses, and the time taken to receive answers for medical consult requests.MethodsA random sample of 240 medical consult requests for 179 distinct patients were selected from patient encounters between 1 January 2015 and 31 December 2017. Descriptive statistics and summaries were calculated to determine the reasons for the consult, the type of information requested and returned, and the time interval for each consult.ResultsThe top two reasons for medical consults were to obtain more information (46.1%) and seek medical approval to proceed with treatment (30.3%). Laboratory and diagnostic reports (56.3%), recommendations/medical clearances (39.6%), medication information (38.3%), and current medical conditions (19.2%) were the frequent requests. However, medical providers responded fewer times to dental providers' laboratory and diagnostic report requests (41.3%), recommendations/medical clearances (19.2%), and current medical conditions (13.3%). While 86% of consults were returned in 30 days and 14% were completed after 30 days.ConclusionsThe primary reasons for dental providers' medical consults are to obtain patient information and seek recommendations for dental care. Laboratory/diagnostic reports, current medical conditions, medication history, or modifications constituted the frequently requested information. Precautions for dental procedures, antibiotic prophylaxis, and contraindications included reasons to seek medical providers' recommendations. The results also highlight the challenges they experience, such as requiring multiple attempts to contact medical providers, the incompleteness of information shared, and the delays experienced in completing at least 25% of the consults.Practical ImplicationsThe study results call attention to the importance of interdisciplinary care to provide optimum dental care and the necessity to establish systems such as integrated electronic dental record-electronic health record systems and health information exchanges to improve information sharing and communication between dental and medical providers.

Established classifications exist to confirm Sjögren’s Disease (SD) (previously referred as Sjögren’s Syndrome) and recruit patients for research. However, no established classification exists for diagnosis in clinical settings causing delayed diagnosis. SD patients experience a huge dental disease burden impairing their quality of life. This study established criteria to characterize Indiana University School of Dentistry (IUSD) patients’ SD based on symptoms and signs in the electronic health record (EHR) data available through the state-wide Indiana health information exchange (IHIE). Association between SD diagnosis, and comorbidities including other autoimmune conditions, and documentation of SD diagnosis in electronic dental record (EDR) were also determined. The IUSD patients’ EDR were linked with their EHR data in the IHIE and queried for SD diagnostic ICD9/10 codes. The resulting cohorts’ EHR clinical findings were characterized and classified using diagnostic criteria based on clinical experts’ recommendations. Descriptive statistics were performed, and Chi-square tests determined the association between the different SD presentations and comorbidities including other autoimmune conditions. Eighty-three percent of IUSD patients had an EHR of which 377 patients had a SD diagnosis. They were characterized as positive (24%), uncertain (20%) and negative (56%) based on EHR clinical findings. Dry eyes and mouth were reported for 51% and positive Anti-Ro/SSA antibodies and anti-nuclear antibody (ANA) for 17% of this study cohort. One comorbidity was present in 98% and other autoimmune condition/s were present in 53% respectively. Significant differences were observed between the three SD clinical characteristics/classifications and certain medical and autoimmune conditions (p<0.05). Sixty-nine percent of patients’ EDR did not mention SD, highlighting the huge gap in reporting SD during dental care. This study of SD patients diagnosed in community practices characterized three different SD clinical presentations, which can be used to generate SD study cohorts for longitudinal studies using EHR data. The results emphasize the heterogenous SD clinical presentations and the need for further research to diagnose SD early in community practice settings where most people seek care.

Established classifications exist to confirm Sjögren's Disease (SD) (previously referred as Sjögren's Syndrome) and recruit patients for research. However, no established classification exists for diagnosis in clinical settings causing delayed diagnosis. SD patients experience a huge dental disease burden impairing their quality of life. This study established criteria to characterize Indiana University School of Dentistry (IUSD) patients' SD based on symptoms and signs in the electronic health record (EHR) data available through the state-wide Indiana health information exchange (IHIE). Association between SD diagnosis, and comorbidities including other autoimmune conditions, and documentation of SD diagnosis in electronic dental record (EDR) were also determined. The IUSD patients' EDR were linked with their EHR data in the IHIE and queried for SD diagnostic ICD9/10 codes. The resulting cohorts' EHR clinical findings were characterized and classified using diagnostic criteria based on clinical experts' recommendations. Descriptive statistics were performed, and Chi-square tests determined the association between the different SD presentations and comorbidities including other autoimmune conditions. Eighty-three percent of IUSD patients had an EHR of which 377 patients had a SD diagnosis. They were characterized as positive (24%), uncertain (20%) and negative (56%) based on EHR clinical findings. Dry eyes and mouth were reported for 51% and positive Anti-Ro/SSA antibodies and anti-nuclear antibody (ANA) for 17% of this study cohort. One comorbidity was present in 98% and other autoimmune condition/s were present in 53% respectively. Significant differences were observed between the three SD clinical characteristics/classifications and certain medical and autoimmune conditions (p<0.05). Sixty-nine percent of patients' EDR did not mention SD, highlighting the huge gap in reporting SD during dental care. This study of SD patients diagnosed in community practices characterized three different SD clinical presentations, which can be used to generate SD study cohorts for longitudinal studies using EHR data. The results emphasize the heterogenous SD clinical presentations and the need for further research to diagnose SD early in community practice settings where most people seek care.

Human papillomavirus (HPV) is the most common sexually transmitted infection in the US and the leading cause of oropharyngeal cancer (OPC), an oral cancer most often identified by dental providers. Given the rise in HPV-associated OPC and recent Food and Drug Administration (FDA) approval of the HPV vaccine to prevent OPC, dental providers have a unique role in HPV prevention. This study assessed US adults’ comfort levels discussing HPV and OPC with dental providers. An online survey platform was used to recruit a nationally representative sample of US adults (n = 300). The questionnaire assessed participants’ knowledge, acceptability, and comfort discussing HPV-related topics with dental providers. SPSS 24 was utilized for data analyses. In general, participants reported feeling comfortable discussing HPV and OPC with dental providers. Participants reported feeling more comfortable with dentists than dental hygienists when discussing (t = 2.85, p < .01) and receiving recommendations about the HPV vaccine (t = 2.09, p < .05). Participants were less comfortable discussing HPV as a risk factor for OPC compared to non-HPV related risk factors (t = 2.94, p < .01). Female participants preferred female providers, whereas male participants had no preference. Previous research has indicated dental providers recognize their role in HPV prevention, but research is needed to understand patients’ perceptions of dental providers’ role in HPV prevention. Findings demonstrate that US adults are comfortable discussing HPV and OPC with dental providers, which may be key to OPC-HPV prevention. Future research is needed to facilitate HPV communication between patients and dental providers.

ABSTRACTIncluding dental health providers in human papillomavirus (HPV) vaccination could reduce rising rates in HPV-associated oropharyngeal cancer (HPV-OPC). This study assessed Utah dentists’ perspectives on providing HPV vaccination education and services in the dental setting. A cross-sectional, 70-item self-administered survey was conducted among a convenience sample of N = 203 practicing Utah dentists. Statistical analyses included Chi Square tests of independence, scaled scores and Cronbach’s alpha coefficients. Majority of Utah dentists surveyed perceived that discussing the link between HPV and OPC and recommending the HPV vaccine is within their scope of practice, but not administration of the HPV vaccine. Dentists with >10 minutes of patient education per week were less likely to be concerned about the cultural, social norms or religious ideology of discussing HPV with their patients (p = .024). Rural dentists were more concerned about the safety and liability of the HPV vaccine (p = .011). Good internal consistency was observed survey items regarding barriers and willing to engage in HPV vaccination practices. Dental providers were interested in HPV training and patient education brochures as strategies, but less interested in administering the HPV vaccine. Dental associations support dentists’ engagement in HPV education and HPV-OPC prevention. This is the first study in Utah to examine dentists’ perspectives on HPV vaccination. Findings have implications for program planning, intervention development, and future research.

A workflow is defined as a predefined set of work steps and partial ordering of these steps in any environment to achieve the expected outcome. Few studies have investigated the workflow of providers in a dental office. It is important to understand the interaction of dental providers with the existing technologies at point of care to assess breakdown in the workflow which could contribute to better technology designs. The study objective was to assess electronic dental record (EDR) workflows using time and motion methodology in order to identify breakdowns and opportunities for process improvement. A time and motion methodology was used to study the human-computer interaction and workflow of dental providers with an EDR in four dental centers at a large healthcare organization. A data collection tool was developed to capture the workflow of dental providers and staff while they interacted with an EDR during initial, planned, and emergency patient visits, and at the front desk. Qualitative and quantitative analysis was conducted on the observational data. Breakdowns in workflow were identified while posting charges, viewing radiographs, e-prescribing, and interacting with patient scheduler. EDR interaction time was significantly different between dentists and dental assistants (6:20 min vs. 10:57 min, p = 0.013) and between dentists and dental hygienists (6:20 min vs. 9:36 min, p = 0.003). On average, a dentist spent far less time than dental assistants and dental hygienists in data recording within the EDR.

Background Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health records (EHRs) using text mining methods. However, they could not retrieve patients' smoking intensity due to its limited availability in the EHR. The presence of detailed smoking information in the electronic dental record (EDR) often under a separate section allows retrieving this information with less preprocessing. Objective To determine patients' detailed smoking status based on smoking intensity from the EDR. Methods First, the authors created a reference standard of 3,296 unique patients’ smoking histories from the EDR that classified patients based on their smoking intensity. Next, they trained three machine learning classifiers (support vector machine, random forest, and naive Bayes) using the training set (2,176) and evaluated performances on test set (1,120) using precision (P), recall (R), and F-measure (F). Finally, they applied the best classifier to classify smoking status from an additional 3,114 patients’ smoking histories. Results Support vector machine performed best to classify patients into smokers, nonsmokers, and unknowns (P, R, F: 98%); intermittent smoker (P: 95%, R: 98%, F: 96%); past smoker (P, R, F: 89%); light smoker (P, R, F: 87%); smokers with unknown intensity (P: 76%, R: 86%, F: 81%), and intermediate smoker (P: 90%, R: 88%, F: 89%). It performed moderately to differentiate heavy smokers (P: 90%, R: 44%, F: 60%). EDR could be a valuable source for obtaining patients’ detailed smoking information. Conclusion EDR data could serve as a valuable source for obtaining patients' detailed smoking information based on their smoking intensity that may not be readily available in the EHR.

Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health records (EHRs) using text mining methods. However, they could not retrieve patients' smoking intensity due to its limited availability in the EHR. The presence of detailed smoking information in the electronic dental record (EDR) often under a separate section allows retrieving this information with less preprocessing. To determine patients' detailed smoking status based on smoking intensity from the EDR. First, the authors created a reference standard of 3,296 unique patients' smoking histories from the EDR that classified patients based on their smoking intensity. Next, they trained three machine learning classifiers (support vector machine, random forest, and naïve Bayes) using the training set (2,176) and evaluated performances on test set (1,120) using precision (P), recall (R), and F-measure (F). Finally, they applied the best classifier to classify smoking status from an additional 3,114 patients' smoking histories. Support vector machine performed best to classify patients into smokers, nonsmokers, and unknowns (P, R, F: 98%); intermittent smoker (P: 95%, R: 98%, F: 96%); past smoker (P, R, F: 89%); light smoker (P, R, F: 87%); smokers with unknown intensity (P: 76%, R: 86%, F: 81%), and intermediate smoker (P: 90%, R: 88%, F: 89%). It performed moderately to differentiate heavy smokers (P: 90%, R: 44%, F: 60%). EDR could be a valuable source for obtaining patients' detailed smoking information. EDR data could serve as a valuable source for obtaining patients' detailed smoking information based on their smoking intensity that may not be readily available in the EHR.

BackgroundRecent evidence has highlighted deficiencies in clinical trial protocols, having implications for many groups. Existing guidelines for randomized clinical trial (RCT) protocol content vary substantially and most do not describe systematic methodology for their development. As one of three prespecified steps for the systematic development of a guideline for trial protocol content, the objective of this study was to conduct a three-round Delphi consensus survey to develop and refine minimum content for RCT protocols.MethodsPanellists were identified using a multistep iterative approach, met prespecified minimum criteria and represented key stakeholders who develop or use clinical trial protocols. They were asked to rate concepts for importance in a minimum set of items for RCT protocols. The main outcome measures were degree of importance (scale of 1 to 10; higher scores indicating higher importance) and level of consensus for items. Results were presented as medians, interquartile ranges, counts and percentages.ResultsNinety-six expert panellists participated in the Delphi consensus survey including trial investigators, methodologists, research ethics board members, funders, industry, regulators and journal editors. Response rates were between 88 and 93% per round. Overall, panellists rated 63 of 88 concepts of high importance (of which 50 had a 25th percentile rating of 8 or greater), 13 of moderate importance (median 6 or 7) and 12 of low importance (median less than or equal to 5) for minimum trial protocol content. General and item-specific comments and subgroup results provided valuable insight for further discussions.ConclusionsThis Delphi process achieved consensus from a large panel of experts from diverse stakeholder groups on essential content for RCT protocols. It also highlights areas of divergence. These results, complemented by other empirical research and consensus meetings, are helping guide the development of a guideline for protocol content.

BackgroundSjögren’s disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through early oral manifestations prior to showing symptoms of clinically significant dry eyes or dry mouth. We examined the feasibility of utilizing a linked electronic dental record (EDR) and electronic health record (EHR) dataset to identify factors that could be used to improve early diagnosis prediction of SD in a matched case-control study population.MethodsEHR data, including demographics, medical diagnoses, medication history, serological test history, and clinical notes, were retrieved from the Indiana Network for Patient Care database and dental procedure data were retrieved from the Indiana University School of Dentistry EDR. We examined EHR and EDR history in the three years prior to SD diagnosis for SD cases and the corresponding period in matched non-SD controls. Two conditional logistic regression (CLR) models were built using Least Absolute Shrinkage and Selection Operator regression. One used only EHR data and the other used both EHR and EDR data. The ability of these models to predict SD diagnosis was assessed using a concordance index designed for CLR.ResultsWe identified a sample population of 129 cases and 371 controls with linked EDR-EHR data. EHR factors associated with an increased risk of SD diagnosis were the usage of lubricating throat drugs with an odds ratio (OR) of 14.97 (2.70-83.06), dry mouth (OR = 6.19, 2.14–17.89), pain in joints (OR = 2.54, 1.34–4.76), tear film insufficiency (OR = 27.04, 5.37–136.), and rheumatoid factor testing (OR = 6.97, 1.94–25.12). The addition of EDR data slightly improved model concordance compared to the EHR only model (0.834 versus 0.811). Surgical dental procedures (OR = 2.33, 1.14–4.78) were found to be associated with an increased risk of SD diagnosis while dental diagnostic procedures (OR = 0.45, 0.20–1.01) were associated with decreased risk.ConclusionUtilizing EDR data alongside EHR data has the potential to improve prediction models for SD. This could improve the early diagnosis of SD, which is beneficial to slowing or preventing complications of SD.

Background: The human papillomavirus (HPV) vaccine was first approved for use in females in 2006, and then in 2009, for both males and females. However, the knowledge of HPV and HPV vaccine, and uptake of the vaccine has been suboptimal and worse among males. In addition, the burden of HPV-associated cancers in the United States is very high among males, especially in head and neck, anal, and penile cancers. If the current HPV vaccination trend persists, then the Healthy People 2020 goal of achieving 80% HPV vaccination will not be achieved. Objective: The aim of this study was to quantify gaps in HPV and HPV vaccine knowledge among adult males in the United States. Methods: Data from the Health Information National Trends Survey 4 Cycle 4 (November 2014) were analyzed for 3,677 survey participants aged 18 years and older. Primary outcome of interest was men's knowledge of HPV and HPV vaccine. Secondary outcome of interest were men's knowledge that HPV causes certain cancers. Participants were asked if they have heard about the HPV and HPV vaccine. Respondents who answered “no” were excluded (n = 1,389). Final sample size used for analyses for the secondary outcomes of interest was 2,288. Results: Sixty-four percent of respondents (56% of men and 72% of women) had heard of HPV and the HPV vaccine. In multivariate analyses, after adjusting for known covariates, males were 67% (95% CI: 0.25 – 0.45) less likely to have heard of HPV, and 76% (95% CI: 0.18 – 0.32) less likely to have heard of the HPV vaccine compared to females. Seventy percent (73% of men and 67% of women) knew that HPV is sexually transmitted disease (STD), 78% (76% of men and 79% of women) knew HPV causes cervical cancer, but only 29% of men and women knew it causes penile cancer, 26% (27% of men and 25 % of women) knew it causes anal cancer, and 30% (31% of men and 29% of women) knew it causes oral cancer. Among those that had heard of HPV, there was no statistical difference in knowledge between males and females with regard to the knowledge that HPV causes cervical, penile, anal and oral cancer. However males were less likely than females to know that HPV causes cervical cancer while females were less likely to know that HPV causes oral cancer. Modified by race, non-Hispanic Black women were 54% less likely to have heard of HPV (OR = 0.46, 95% CI: 0.24 – 0.88); and 64% less likely to have heard of HPV vaccine (OR = 0.36, 95% CI: 0.19 – 0.67), compared to non-Hispanic White women. Similarly, compared to non-Hispanic White women, Hispanic women were 51% less likely to have heard of HPV vaccine (OR = 0.49, 95% CI: 0.27 – 0.88). For men, compared to non-Hispanic White men, Hispanic men were 69% less likely to have heard of HPV vaccine (OR = 0.31, 95% CI: 0.16 – 0.62). Conclusion: A two-third of respondents were aware of HPV and HPV vaccine, but a clear gender and racial gap still exist in HPV and HPV vaccine knowledge. This underscores the need for more tailored interventions specifically targeted towards males and minority racial groups in order to increase knowledge and uptake of the HPV vaccine. It also highlights the need for more deliberate efforts on the part of physicians to discuss the HPV vaccine with eligible patients and parents Citation Format: Nosayaba Osazuwa-Peters, Eric Adjei Boakye, Betelihem B. Tobo, Kahee Agid Mohammed. HPV is not just a woman's business! Understanding the gaps in men's knowledge of HPV and HPV vaccine. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr B89.

Compared with medicine, less research has focused on adoption rates and factors contributing to the adoption of electronic dental records (EDRs) and certified electronic health records (EHRs) in the field of dentistry. We ran two multivariate models on EDR adoption and certification-capable EHR adoption to determine environmental and organizational factors associated with adoption. We conducted telephone survey of a 10-item questionnaire using disproportionate stratified sampling procedure of 149 dental clinics in Tennessee in 2017 measuring adoption of dental information technology (IT) (EDRs and certification-capable EHRs) and practice characteristics, including region, rurality, specialty, and practice size. We used binomial logistic regression models to determine associations of adoption with predictor variables. A total of 77% of surveyed dental clinics in Tennessee had adopted some type of EDR system. When the definitions of certification capable were applied, the adoption rates in dental clinics dropped to 58%. A binomial logistic regression model for the effects of rurality, specialization, and practice size on the likelihood that a clinic would adopt an EHR product was statistically significant (chi-square (3) = 12.41, p = 0.0061). Of the three predictor variables, specialization and practice size were significant: Odds of adopting an EHR is 67% lower for specialists than for general dentists; and clinics with two or more practicing dentists were associated with a much greater likelihood of adopting an EHR-capable system (adjusted odds ratio = 3.09, p = 0.009). Findings from this study indicate moderate to high levels of overall dental IT adoption. However, adoption rates in dental clinics do remain lower than those observed in office-based physician practices in medicine. Specialization and practice size were significant predictors of EHR-capable system adoption. Efforts to increase EHR adoption in dentistry should be mindful of potential disparities in smaller practices and between dental specialties and generalists.

Objective: Emerging evidence-based information supports incorporation of point-of-care screening of individuals at-risk for undiagnosed medical conditions in dental settings. In this study, dental provider’s knowledgeability, attitude and behavior regarding chairside medical screening was assessed across nine federally qualified health center (FQHC)-operationalized dental centers integrated into a large Midwestern US healthcare organization to establish receptivity among regional dental providers. Further, this pilot effort informed the study design and survey tool for conducting a larger statewide study. Methods: Knowledgeability surrounding point-of-care screening, was piloted via a multiple-choice survey targeting 100 regional FQHC dental providers (dentists and dental hygienists) utilizing SurveyMonkey®. The survey captured provider demographics, medical knowledgeability, attitudes, and current practice patterns with conduct of chairside medical screening. Chi-square analysis compared responses based on the respondent’s gender, year of graduation and clinical role. Results: A 26% response rate was achieved. The 26 responding dental providers reported screening for hypertension, diabetes mellitus, prediabetes, obesity, chronic kidney disease, human papilloma virus, hepatitis, human immunodeficiency virus and adverse events of chemotherapy and radiotherapy, with a frequency of 88%, 37%, 8%, 42%, 21%, 29%, 25%, 25% and 37% respectively. Willingness to incorporate chairside screening into clinical practice that yielded immediate results was indicated by 57% of respondents. The most important factors associated with engagement of medical screening included time investment (92%), patient willingness (88%), liability (84%), insurance coverage (56%) and cost (52%). Conclusions: Overall, this pilot study indicated that dental providers’ attitude relative to chairside screening for medical conditions was favorable. While respondents indicated willingness to collect oral fluids for salivary diagnostics and blood pressure and height/ weight measurements, lack of willingness to utilize finger-stick approaches for assessing glycemic status was identified. A statewide study is currently being planned to establish a comprehensive understanding of barriers impeding adoption of chairside screening for medical conditions in a dental setting.

Background:High-quality data in Electronic Dental Records (EDR) is essential for dental schools to provide high-quality patient care, improve dental students’ professionalism, and support a platform for research. Therefore, ensuring data quality in EDRs is extremely important.Objective:To perform a quality appraisal of EDRs by evaluating their accuracy and completeness.Methods:This was a Cross-sectional Observational Study conducted over four consecutive years in a dental school setting. Manual chart reviews were performed on an annual basis. EDR data were audited for accuracy and completeness. Accuracy was evaluated by comparing the entered data with an external source, where possible. An EDR data field was considered complete if it was not missing.Results:A total of 1,720 de-identified chart reviews were studied. The accuracy of the data to identify the patient was 93%. The completeness of the essential components of EDRs was 48-94%. Completeness was highest for documenting the patient’s chief complaint (94%) and the lowest for recall plan (48%). Completeness of data documenting social and behavioral determinants of health in EDRs was 36-77%, with the highest proportion of completeness in this domain being for oral hygiene habits, smoking habits, and social history.Conclusion:The quality appraisal of EDRs varied according to the data field. Understanding patterns of accuracy and completeness in EDRs will guide training and quality enforcement activities.