This study sought to re-characterize trends and factors affecting electronic dental record (EDR) and technologies adoption by dental practices and the impact of the Health Information Technology for Economic and Clinical Health (HITECH) act on adoption rates through 2012. A 39-question survey was disseminated nationally over 3 months using a novel, statistically-modeled approach informed by early response rates to achieve a predetermined sample. EDR adoption rate for clinical support was 52%. Adoption rates were higher among: (1) younger dentists; (2) dentists ≤ 15 years in practice; (3) females; and (4) group practices. Top barriers to adoption were EDR cost/expense, cost-benefit ratio, electronic format conversion, and poor EDR usability. Awareness of the Federal HITECH incentive program was low. The rate of chairside computer implementation was 72%. Adoption of EDR in dental offices in the United States was higher in 2012 than electronic health record adoption rates in medical offices and was not driven by the HITECH program. Patient portal adoption among dental practices in the United States remained low.
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.
SummaryBackground: 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. Objective: 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. Methods: 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. Results: 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). Conclusions: On average, a dentist spent far less time than dental assistants and dental hygienists in data recording within the EDR.
Objective: To effectively achieve a robust survey response rate in a timely manner, an alternative approach to survey distribution, informed by statistical modeling, was applied to efficiently and cost-effectively achieve the targeted rate of return. Design:A prospective environmental scan surveying adoption of health information technology utilization within their practices was undertaken in a national pool of dental professionals (N=8000) using an alternative method of sampling. The piloted approach to rate of cohort sampling targeted a response rate of 400 completed surveys from among randomly targeted eligible providers who were contacted using replicated subsampling leveraging mailed surveys. Methods:Two replicated subsample mailings (n=1000 surveys/mailings) were undertaken to project the true response rate and estimate the total number of surveys required to achieve the final target. Cost effectiveness and non-response bias analyses were performed. Results:The final mailing required approximately 24% fewer mailings compared to targeting of the entire cohort, with a final survey capture exceeding the expected target. An estimated $5000 in cost savings was projected by applying the alternative approach. Non-response analyses found no evidence of bias relative to demographics, practice demographics, or topically-related survey questions. Conclusion:The outcome of this pilot study suggests that this approach to survey studies will accomplish targeted enrollment in a cost effective manner. Future studies are needed to validate this approach in the context of other survey studies.
BackgroundThe capture and integration of structured ophthalmologic data into electronic health records (EHRs) has historically been a challenge. However, the importance of this activity for patient care and research is critical.ObjectiveThe purpose of this study was to develop a prototype of a context-driven dynamic extensible markup language (XML) ophthalmologic data capture application for research and clinical care that could be easily integrated into an EHR system.MethodsStakeholders in the medical, research, and informatics fields were interviewed and surveyed to determine data and system requirements for ophthalmologic data capture. On the basis of these requirements, an ophthalmology data capture application was developed to collect and store discrete data elements with important graphical information.ResultsThe context-driven data entry application supports several features, including ink-over drawing capability for documenting eye abnormalities, context-based Web controls that guide data entry based on preestablished dependencies, and an adaptable database or XML schema that stores Web form specifications and allows for immediate changes in form layout or content. The application utilizes Web services to enable data integration with a variety of EHRs for retrieval and storage of patient data.ConclusionsThis paper describes the development process used to create a context-driven dynamic XML data capture application for optometry and ophthalmology. The list of ophthalmologic data elements identified as important for care and research can be used as a baseline list for future ophthalmologic data collection activities.
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