Amit Acharya

Construction of a Multisite DataLink Using Electronic Health Records for the Identification, Surveillance, Prevention, and Management of Diabetes Mellitus: The SUPREME-DM Project

Introduction Electronic health record (EHR) data enhance opportunities for conducting surveillance of diabetes. The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research. Methods We identified all members of 11 health care systems who had any enrollment from January 2005 through December 2009. For these members, we searched inpatient and outpatient diagnosis codes, laboratory test results, and pharmaceutical dispensings from January 2000 through December 2009 to create indicator variables that could potentially identify a person with diabetes. Using this information, we estimated the number of people with diabetes and among them, the number of incident cases, defined as indication of diabetes after at least 2 years of continuous health system enrollment. Results The 11 health systems contributed 15,765,529 unique members, of whom 1,085,947 (6.9%) met 1 or more study criteria for diabetes. The nonstandardized proportion meeting study criteria for diabetes ranged from 4.2% to 12.4% across sites. Most members with diabetes (88%) met multiple criteria. Of the members with diabetes, 428,349 (39.4%) were incident cases. Conclusion The SUPREME-DM DataLink is a unique resource that provides an opportunity to conduct comparative effectiveness research, epidemiologic surveillance including longitudinal analyses, and population-based care management studies of people with diabetes. It also provides a useful data source for pragmatic clinical trials of prevention or treatment interventions.

Regional Epidemiologic Assessment of Prevalent Periodontitis Using an Electronic Health Record System

An oral health surveillance platform that queries a clinical/administrative data warehouse was applied to estimate regional prevalence of periodontitis. Cross-sectional analysis of electronic health record data collected between January 1, 2006, and December 31, 2010, was undertaken in a population sample residing in Ladysmith, Wisconsin. Eligibility criteria included: 1) residence in defined zip codes, 2) age 25–64 years, and 3) ≥1 Marshfield dental clinic comprehensive examination. Prevalence was established using 2 independent methods: 1) via an algorithm that considered clinical attachment loss and probe depth and 2) via standardized Current Dental Terminology (CDT) codes related to periodontal treatment. Prevalence estimates were age-standardized to 2000 US Census estimates. Inclusion criteria were met by 2,056 persons. On the basis of the American Academy of Periodontology/Centers for Disease Control and Prevention method, the age-standardized prevalence of moderate or severe periodontitis (combined) was 407 per 1,000 males and 308 per 1,000 females (348/1,000 males and 269/1,000 females using the CDT code method). Increased prevalence and severity of periodontitis was noted with increasing age. Local prevalence of periodontitis was consistent with national estimates. The need to address potential sample selection bias in future electronic health record–based periodontitis research was identified by this approach. Methods outlined herein may be applied to refine oral health surveillance systems, inform dental epidemiologic methods, and evaluate interventional outcomes.

Oral hygiene and cardiometabolic disease risk in the survey of the health of Wisconsin

OBJECTIVES Poor oral health is an increasingly recognized risk factor for cardiovascular disease (CVD) and type 2 diabetes (T2D), but little is known about the association between toothbrushing or flossing and cardiometabolic disease risk. The purpose of this study was to examine the degree to which an oral hygiene index was associated with CVD and T2D risk scores among disease-free adults in the Survey of the Health of Wisconsin. METHODS All variables were measured in 2008-2010 in this cross-sectional design. Based on toothbrushing and flossing frequency, an oral hygiene index (poor, fair, good, excellent) was created as the primary predictor variable. The outcomes, CVD and T2D risk score, were based on previous estimates from large cohort studies. There were 712 and 296 individuals with complete data available for linear regression analyses in the CVD and T2D samples, respectively. RESULTS After covariate adjustment, the final model indicated that participants in the excellent (β ± SE = -0.019 ± 0.008, P = 0.020) oral hygiene category had a significantly lower CVD risk score as compared to participants in the poor oral hygiene category. Sensitivity analyses indicated that both toothbrushing and flossing were independently associated with CVD risk score, and various modifiable risk factors. Oral hygiene was not significantly associated with T2D risk score. CONCLUSIONS Regular toothbrushing and flossing are associated with a more favorable CVD risk profile, but more experimental research is needed in this area to precisely determine the effects of various oral self-care maintenance behaviors on the control of individual cardiometabolic risk factors. These findings may inform future joint medical-dental initiatives designed to close gaps in the primary prevention of oral and systemic diseases.

Status Update on Translation of Integrated Primary Dental-Medical Care Delivery for Management of Diabetic Patients

Escalating prevalence of both diabetes and periodontal disease, two diseases associated with bi-directional exacerbation, has been reported. Periodontal disease represents a modifiable risk factor that may reduce diabetes onset or progression, and integrated models of cross-disciplinary care are needed to establish and manage glycemic control in affected patients. An ad-hoc environmental scan of current literature and media sought to characterize factors impacting status of integrated care models based on review of the existing evidence base in literature and media surrounding: (1) current cross-disciplinary practice patterns, (2) epidemiological updates, (3) status on risk assessment and screening for dysglycemia in the dental setting, (4) status on implementation of quality metrics for oral health, (5) care model pilots, and (6) public health perspectives. The survey revealed: escalating prevalence of diabetes and periodontitis globally; greater emphasis on oral health assessment for diabetic patients in recent medical clinical practice guidelines; high knowledgeability surrounding oral-systemic impacts on diabetes and growing receptivity to medical-dental integration among medical and dental providers; increasing numbers of programs/studies reporting on positive impact of emerging integrated dental-medical care models on diabetic patient healthcare access and health outcomes; a growing evidence base for clinically significant rates of undiagnosed dysglycemia among dental patients reported by point-of-care pilot studies; no current recommendation for population-based screening for dysglycemia in dental settings pending a stronger evidence base; improved definition of true periodontitis prevalence in (pre)/diabetics; emerging recognition of the need for oral health quality indicators and tracking; evidence of persistence in dental access disparity; updated status on barriers to integration. The potential benefit of creating clinically-applicable integrated care models to support holistic management of an escalating diabetic population by targeting modifiable risk factors including periodontitis is being recognized by the health industry. Cross-disciplinary efforts supported by high quality research are needed to mitigate previously- and newly-defined barriers of care integration and expedite development and implementation of integrated care models in various practice settings. Implementation of quality monitoring in the dental setting will support definition of the impact and efficacy of interventional clinical care models on patient outcomes.

An Integrated Medical-Dental Electronic Health Record Environment: A Marshfield Experience

National investments in biomedical science and other scientific studies are helping us to better understand the interrelationships between oral and systemic disease. The large number of interrelationships being studied suggests that medicine’s historic neglect of the oral cavity and dentistry’s limited understanding of systemic nature should be addressed. While the emerging science base has implications for medical and dental training programs, it is important to consider approaches to facilitate translation and adoption of scientific advances by those currently practicing in dentistry and medicine.

Development and initial validation of a content taxonomy for patient records in general dentistry

OBJECTIVE Develop and validate an initial content taxonomy for patient records in general dentistry. METHODS Phase 1 - obtain 95 de-identified patient records from 11 general dentists in the United States. Phase 2 - extract individual data fields (information items), both explicit (labeled) and implicit (unlabeled), from records, and organize into categories mirroring original field context. Phase 3 - refine raw list of information items by eliminating duplicates/redundancies and focusing on general dentistry. Phase 4 - validate all items regarding inclusion and importance using a two-round Delphi study with a panel of 22 general dentists active in clinical practice, education, and research. RESULTS Analysis of 76 patient records from 9 dentists, combined with previous work, yielded a raw list of 1509 information items. Refinement reduced this list to 1107 items, subsequently rated by the Delphi panel. The final model contained 870 items, with 761 (88%) rated as mandatory. In Round 1, 95% (825) of the final items were accepted, in Round 2 the remaining 5% (45). Only 45 items on the initial list were rejected and 192 (or 17%) remained equivocal. CONCLUSION Grounded in the reality of clinical practice, our proposed content taxonomy represents a significant advance over existing guidelines and standards by providing a granular and comprehensive information representation for general dental patient records. It offers a significant foundational asset for implementing an interoperable health information technology infrastructure for general dentistry.

Integrating Medical-Dental Care for Diabetic Patients: Qualitative Assessment of Provider Perspectives

Globally, periodontal disease and diabetes have achieved epidemic proportions and have become a top health care priority. Mutual bidirectional exacerbation of these conditions is promoting creation of cross-disciplinary integrated care delivery (ICD) models that bridge the traditionally siloed health care domains of dentistry and medicine. By engaging focus groups inclusive of both medical and dental providers and one-on-one interviews, this qualitative study investigated provider knowledgeability, receptiveness, and readiness to engage ICD and sought input from the medical-dental primary care practitioner participants on perceived opportunities, benefits, and challenges to achieving ICD models for patients with diabetes/prediabetes. Statewide regional representation and inclusivity of diverse practice settings were emphasized in soliciting participants. Thematic analysis of focus group and interview transcripts was undertaken to establish current state of the art, gauge receptivity to alternative ICD models, and seek insights from practitioners surrounding opportunities and barriers to ICD achievement. Forty providers participated, and thematic analyses achieved saturation. Providers were well informed regarding disease interaction; were receptive to ICD, including implementation of better screening and referral processes; and favored improving interdisciplinary communication inclusive of access to integrated electronic health records. Perceived barriers and opportunities communicated by participants for advancing ICD were documented.

Progress in oral personalized medicine: contribution of 'omics'

Background Precision medicine (PM), representing clinically applicable personalized medicine, proactively integrates and interprets multidimensional personal health data, including clinical, ‘omics’, and environmental profiles, into clinical practice. Realization of PM remains in progress. Objective The focus of this review is to provide a descriptive narrative overview of: 1) the current status of oral personalized medicine; and 2) recent advances in genomics and related ‘omic’ and emerging research domains contributing to advancing oral-systemic PM, with special emphasis on current understanding of oral microbiomes. Design A scan of peer-reviewed literature describing oral PM or ‘omic’-based research conducted on humans/data published in English within the last 5 years in journals indexed in the PubMed database was conducted using mesh search terms. An evidence-based approach was used to report on recent advances with potential to advance PM in the context of historical critical and systematic reviews to delineate current state-of-the-art technologies. Special focus was placed on oral microbiome research associated with health and disease states, emerging research domains, and technological advances, which are positioning realization of PM. Results This review summarizes: 1) evolving conceptualization of personalized medicine; 2) emerging insight into roles of oral infectious and inflammatory processes as contributors to both oral and systemic diseases; 3) community shifts in microbiota that may contribute to disease; 4) evidence pointing to new uncharacterized potential oral pathogens; 5) advances in technological approaches to ‘omics’ research that will accelerate PM; 6) emerging research domains that expand insights into host–microbe interaction including inter-kingdom communication, systems and network analysis, and salivaomics; and 7) advances in informatics and big data analysis capabilities to facilitate interpretation of host and microbiome-associated datasets. Furthermore, progress in clinically applicable screening assays and biomarker definition to inform clinical care are briefly explored. Conclusion Advancement of oral PM currently remains in research and discovery phases. Although substantive progress has been made in advancing the understanding of the role of microbiome dynamics in health and disease and is being leveraged to advance early efforts at clinical translation, further research is required to discern interpretable constituency patterns in the complex interactions of these microbial communities in health and disease. Advances in biotechnology and bioinformatics facilitating novel approaches to rapid analysis and interpretation of large datasets are providing new insights into oral health and disease, potentiating clinical application and advancing realization of PM within the next decade.

The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation

Recently, the HyperSPHARM algorithm was proposed to parameterize multiple disjoint objects in a holistic manner using the 4D hyperspherical harmonics. The HyperSPHARM coefficients are global; they cannot be used to directly infer localized variations in signal. In this paper, we present a unified wavelet framework that links Hyper-SPHARM to the diffusion wavelet transform. Specifically, we will show that the HyperSPHARM basis forms a subset of a wavelet-based multiscale representation of surface-based signals. This wavelet, termed the hyperspherical diffusion wavelet, is a consequence of the equivalence of isotropic heat diffusion smoothing and the diffusion wavelet transform on the hypersphere. Our framework allows for the statistical inference of highly localized anatomical changes, which we demonstrate in the first-ever developmental study on the hyoid bone investigating gender and age effects. We also show that the hyperspherical wavelet successfully picks up group-wise differences that are barely detectable using SPHARM.

Understanding patients’ oral health information needs: Findings of a survey on use of patient portals in dentistry

BACKGROUND Patient engagement through web-based patient health portals (PHP) can offer important benefits to patients and provider organizations by improving both quality and access to care. The authors studied the most relevant, patient-identified, oral health information available in the PHP to inform their assessment of patient-centered care. METHODS The authors distributed a 17-question, paper-based survey to patients aged 18 through 80 years in the waiting rooms of 8 dental centers in Wisconsin. Descriptive statistics, along with differences in percentages by sex, age group, and metropolitan status were reported using the χ2 and Wilcoxon rank sum test. RESULTS A 75% (813 of 1,090) response rate was achieved. More than one-third of patients selected access to previous dental procedures, dental history, routine dental appointment reminders, date of last dental visit, tooth chart, date of last full-mouth radiograph, and dental problem list via the PHP. CONCLUSIONS AND PRACTICAL IMPLICATIONS Patients identified and recommended incorporation of different types of oral health data for access via the PHP as vital to strengthening the communication between patients and dental professionals. Incorporating patient-identified oral health information in the PHP will inform strategies for improving patient engagement, strengthen patient-provider communication, and offer a venue for increasing oral health literacy and awareness.