Identifying Contributing Factors Associated With Dental Adverse Events Through a Pragmatic Electronic Health Record-Based Root Cause Analysis.

OBJECTIVE: This study assessed contributing factors associated with dental adverse events (AEs). METHODS: Seven electronic health record-based triggers were deployed identifying potential AEs at 2 dental institutions. From 4106 flagged charts, 2 reviewers examined 439 charts selected randomly to identify and classify AEs using our dental AE type and severity classification systems. Based on information captured in the electronic health record, we analyzed harmful AEs to assess potential contributing factors; harmful AEs were defined as those that resulted in temporary moderate to severe harm, required hospitalization, or resulted in permanent moderate to severe harm. We classified potential contributing factors according to (1) who was involved (person), (2) what were they doing (tasks), (3) what tools/technologies were they using (tools/technologies), (4) where did the event take place (environment), (5) what organizational conditions contributed to the event? (organization), (6) patient (including parents), and (7) professional-professional collaboration. A blinded panel of dental experts conducted a second review to confirm the presence of an AE. RESULTS: Fifty-nine cases had 1 or more harmful AEs. Pain occurred most frequently (27.1%), followed by nerve injury (16.9%), hard tissue injury (15.2%), and soft tissue injury (15.2%). Forty percent of the cases were classified as "temporary not moderate to severe harm." Person (training, supervision, and fatigue) was the most common contributing factor (31.5%), followed by patient (noncompliance, unsafe practices at home, low health literacy, 17.1%), and professional-professional collaboration (15.3%). CONCLUSIONS: Pain was the most common harmful AE identified. Person, patient, and professional-professional collaboration were the most frequently assessed factors associated with harmful AEs.

Assessment of artificial intelligence-based remote monitoring of clear aligner therapy: A prospective study.

INTRODUCTION: Artificial intelligence remote monitoring of clear aligner therapy has recently gained popularity. It uses deep learning algorithms on a patient's mobile smartphone to determine readiness to progress to the next aligner (ie, GO vs NO-GO) and identify areas in which the teeth are not tracking with the clear aligners. This study aimed to assess the repeatability of the Go or No-Go instructions provided by the application and to determine the 3-dimensional discrepancies that constitute an unseat. METHODS: Thirty patients in treatment with clear aligners at an academic clinic were scanned twice using a remote monitoring application on a smartphone, and the results were compared. Gauge repeatability and reproducibility analysis were performed. Intraoral and remote monitoring scans were obtained on the same day from 24 additional clear aligner patients that completed treatment using their final aligners. The intraoral scan after using the final aligner and the stereolithography file of the planned position at the final aligner was compared with measure the maximum discrepancies between the actual and planned position of the teeth. RESULTS: Gauge compatibility of 44.7% was noted. In total 83.3% of patient instructions agreed between Scan 1 and 2, but 0% agreed completely on which and/or how many teeth had tracking issues. Patients who received GO instruction had mean greatest discrepancies of 1.997 mm, 1.901 mm, 0.530 mm, 8.911°, 7.827°, and 7.049° in mesiodistal, buccolingual, occlusogingival, tip, torque, and rotational dimensions, respectively. These discrepancies were not significantly different from patients receiving NO-GO instruction (1.771 mm, 1.808 mm, 0.606 mm, 8.673°, 8.134°, and 6.719° for the corresponding categories). CONCLUSIONS: Despite the study's limitations, these findings suggest concerns with the consistency of remote monitoring instructions because of gauge compatibility over the industry standard. Similarly, large discrepancies in tooth position for patients receiving GO and NO-GO instruction suggest that artificial intelligence decisions were inconsistent with quantitative findings.

Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records.

This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as to generate the seed and further fed to the RoBERTa model with the spaCy package. In the direct test, a lower ratio of negative examples with higher numbers of examples in prompt achieved the best results with a F1 score of 0.72. The performance revealed consistency, 0.92-0.97 in the F1 score, in all settings after training with the RoBERTa model. The study highlighted the importance of seed quality rather than quantity in feeding NER models. This research reports on an efficient and accurate way to mine clinical notes for periodontal diagnoses, allowing researchers to easily and quickly build a NER model with the prompt generation approach.

Burnout and Work Engagement Among US Dentists.

BACKGROUND: Burnout is a threat to patient safety. It relates to emotional exhaustion, depersonalization, and lack of personal accomplishment. Work engagement conversely composed of levels of vigor, dedication, and absorption in one's profession. The aim of this study was to examine burnout and work engagement among US dentists. METHODS: This study used the extensively validated Maslach Burnout Inventory-Human Services Survey and Utrecht Work Engagement Scale to measure burnout in a self-administered survey of 167 US dentists who attended continuing education courses held in Boston, Pittsburg, Iowa City, and Las Vegas. The mean scores on the 3 subscales of Maslach Burnout Inventory-Human Services Survey and Utrecht Work Engagement Scale were computed. The interscale correlations between the components of burnout and work engagement were assessed using Pearson correlations. We used 1-way analysis of variance and independent 2 sample t tests to examine the relationship between burnout and work engagement across sex and various age categories. Prevalence of burnout in our study population was also computed. RESULTS: We observed that 13.2% of our study population experienced burnout and 16.2% of our study population was highly work engaged. There was a statistically significant, unadjusted association between burnout risk and work engagement (χ2 = 22.51, P < 0.0001). Furthermore, the scores in the subscales of burnout were significantly correlated with scores in the subscales of work engagement. CONCLUSIONS: In this preliminary study, we observed some evidence of burnout among practicing US dentists. It is imperative that the dental profession understands this and works to promote professional practices that increase work engagement and decrease burnout.

Classifying Adverse Events in the Dental Office.

BACKGROUND: Dentists strive to provide safe and effective oral healthcare. However, some patients may encounter an adverse event (AE) defined as "unnecessary harm due to dental treatment." In this research, we propose and evaluate two systems for categorizing the type and severity of AEs encountered at the dental office. METHODS: Several existing medical AE type and severity classification systems were reviewed and adapted for dentistry. Using data collected in previous work, two initial dental AE type and severity classification systems were developed. Eight independent reviewers performed focused chart reviews, and AEs identified were used to evaluate and modify these newly developed classifications. RESULTS: A total of 958 charts were independently reviewed. Among the reviewed charts, 118 prospective AEs were found and 101 (85.6%) were verified as AEs through a consensus process. At the end of the study, a final AE type classification comprising 12 categories, and an AE severity classification comprising 7 categories emerged. Pain and infection were the most common AE types representing 73% of the cases reviewed (56% and 17%, respectively) and 88% were found to cause temporary, moderate to severe harm to the patient. CONCLUSIONS: Adverse events found during the chart review process were successfully classified using the novel dental AE type and severity classifications. Understanding the type of AEs and their severity are important steps if we are to learn from and prevent patient harm in the dental office.

Quantifying Dental Office-Originating Adverse Events: The Dental Practice Study Methods.

BACKGROUND: Preventable medical errors in hospital settings are the third leading cause of deaths in the United States. However, less is known about harm that occurs in patients in outpatient settings, where the majority of care is delivered. We do not know the likelihood that a patient sitting in a dentist chair will experience harm. Additionally, we do not know if patients of certain race, age, sex, or socioeconomic status disproportionately experience iatrogenic harm. METHODS: We initiated the Dental Practice Study (DPS) with the aim of determining the frequency and types of adverse events (AEs) that occur in dentistry on the basis of retrospective chart audit. This article discusses the 6-month pilot phase of the DPS during which we explored the feasibility and efficiency of our multistaged review process to detect AEs. RESULTS: At sites 1, 2, and 3, respectively, 2 reviewers abstracted 21, 11, and 23 probable AEs, respectively, from the 100 patient charts audited per site. At site 2, a third reviewer audited the same 100 charts and found only 1 additional probable AE. Of the total 56 probable AEs (from 300 charts), the expert panel confirmed 9 AE cases. This equals 3 AEs per 100 patients per year. Patients who experienced an AE tended to be male and older and to have undergone more procedures within the study year. CONCLUSIONS: This article presents an overview of the DPS. It describes the methods used and summarizes the results of its pilot phase. To minimize threats to dental patient safety, a starting point is to understand their basic epidemiology, both in terms of their frequency and the extent to which they affect different populations.

Burnout, Engagement, and Dental Errors Among U.S. Dentists.

BACKGROUND: Errors can happen during patient care, and some result in harm to the patient. Work place stress has been well established in dentistry, but its relation with errors in the delivery of patient care is less understood. The authors evaluated the relationship between burnout, work engagement, and self-reported dental errors among American dentists. METHODS: From May to August 2016, a national sample of American Dental Association member dentists were sent a validated, electronic survey assessing their levels of burnout, work engagement, and dental errors. RESULTS: Of the 391 responding dentists, 46.1% reported concern that they had made a dental error in the last 6 months, 12.1% of the dentists were informed by dental staff that they may have committed an error in the last 6 months, 16% were concerned that a malpractice lawsuit would be filed against them, and 3.6% were actively involved in a malpractice lawsuit. In the adjusted analysis, multivariate logistic regression showed that dentists with either high burnout risk were more likely to report concern over a perceived error within the last 6 months. CONCLUSIONS: The results suggest that dental provider burnout is potentially a key predictor of reporting perceived dental errors. It is imperative that the dental profession continue to study the effects of work-related stress, develop professional practices that decrease burnout, and reduce errors. PRACTICAL IMPLICATIONS: Efforts that minimize the potential for burnout may help reduce the occurrence of errors and improve the quality of care provided to dental patients.

Number of Pregnant Women at Four Dental Clinics and the Care They Received: A Dental Quality eMeasure Evaluation.

Process-of-care quality measure research can be used to identify gaps in the delivery of dental services to pregnant patients. The aim of this study was to evaluate the types of dental services that pregnant patients received in four dental clinics over five years as documented in the electronic health record (EHR). To accomplish this objective, the authors modified and validated a previously published claims-based dental quality measure for EHR use. After the electronic dental quality measure specifications were defined, the number of pregnant patients was calculated at three academic dental institutions and one large accountable care organization, and the types of dental care services they received over a five-year period (2013-17) were determined. Calibrated reviewers at each institution independently reviewed a sub-sample of patient charts to validate the information obtained from EHR queries, and the concordance between manual chart reviews and EHR query reports was analyzed. Of the 335,078 women aged 15-44 years who received care at the four clinics for the five reporting years, 3.9% (n=13,026) were pregnant. Among these pregnant patients, 48.9% (n=6,366) received a periodic dental examination; 30.0% (n=3,909) received a comprehensive dental exam; and 21.5% (n=2,799) received additional dental services, irrespective of comprehensive or periodic oral evaluations. Overall, the mean proportion of pregnant patients seeking care in these academic dental and group practice clinics was low, but 78.9% of them received either a periodic or comprehensive oral evaluation. Given the importance of oral health care during pregnancy, these findings suggest a need for curriculum development to incorporate prenatal oral health education in the training of dental students.

Predictors of dental care utilization in north-central Appalachia in the USA.

OBJECTIVES: Dental utilization is an important determinant of oral health and well-being. The aim of this study was to evaluate potential associations between a variety of biopsychosocial factors and dental utilization in north-central Appalachia, USA, a region where oral health disparities are profound. METHODS: This study used household-based data from the Center for Oral Health Research in Appalachia (COHRA1) study in north-central Appalachia, including 449 families with 868 adults. The generalized estimating equation (GEE) approach was used to determine the best-fitting predictor model for dental utilization among adult family members. RESULTS: On average across West Virginia and Pennsylvania, having dental insurance was associated with greater dental utilization over a 3-year time period (OR = 2.20, 95% CI = 1.54, 3.14). When stratified by state, the association held for only West Virginia (OR = 2.41, 95% CI = 1.54, 3.79) and was nonsignificant for Pennsylvania residents (OR = 1.50, 95% CI = 0.80, 2.79). Individuals from Pennsylvania were more likely to utilize dental care and participants from West Virginia less so (2.31, 95% CI = 1.57, 3.40). Females from Pennsylvania were more likely than males to regularly seek dental care (OR = 1.44, 95% CI = 1.00, 2.05), and a higher income was associated with greater frequency of regular dental visits (OR = 1.21, 95% CI = 1.09, 1.34) in West Virginia. Individuals from Pennsylvania who scored higher on the Physiological Arousal subscale of the Dental Fear Survey were more likely to attend routine care visits (OR = 1.18, 95% CI = 1.03, 1.35). Across both states, more fatalistic beliefs related to oral health care also predicted less routine care (OR = 0.87, 95% CI = 0.81, 0.94), and more investment in or more positive attitudes towards one's oral health also was associated with higher utilization (OR = 1.18, 95% CI = 1.13, 1.23). CONCLUSIONS: Overall, the findings of this study suggest state residency, sex, insurance, income, fatalistic beliefs, health values, and aspects of dental care-related anxiety and fear predicted dental care utilization in north-central Appalachia. These findings reinforce the need to address insurance and other economic factors affecting utilization and to consider how individual-level fatalistic beliefs and oral health values may affect utilization of routine oral health care.

Tobacco screening and cessation efforts by dental providers: A quality measure evaluation.

OBJECTIVES: The purpose of this study was to adapt, test, and evaluate the implementation of a primary care "Preventive care and Screening" meaningful use quality measure for tobacco use, in dental institutions. We determined the percentage of dental patients screened for tobacco use, and the percentage of tobacco users who received cessation counseling. METHODS: We implemented the dental quality measure (DQM), in three dental schools and a large dental accountable care organization. An automated electronic health record (EHR) query identified patients 18 years and older who were screened for tobacco use one or more times within 24 months, and who received cessation counseling intervention if identified as a tobacco user. We evaluated EHR query performance with a manual review of a subsample of charts. RESULTS: Across all four sites, in the reporting calendar year of 2015, a total of 143,675 patients met the inclusion criteria for the study. Within 24 months, including 2014 and 2015 calendar years, percentages of tobacco screening ranged from 79.7 to 99.9 percent, while cessation intervention percentages varied from 1 to 81 percent among sites. By employing DQM research methodology, we identified intervention gaps in clinical practice. CONCLUSIONS: We demonstrated the successful implementation of a DQM to evaluate screening rates for tobacco use and cessation intervention. There is substantial variation in the cessation intervention rates across sites, and these results are a call for action for the dental profession to employ tobacco evidence-based cessation strategies to improve oral health and general health outcomes.

Novel methods reveal that parallelism contributes to the functional vertical slot dimension in ceramic and metal brackets.

OBJECTIVES:: To validate a novel method for measuring the clinically relevant bracket slot and use these methods to test the hypothesis that various metal injection molded (MIM) and esthetic ceramic injection molded (CIM) brackets have a bracket slot accuracy within 1 mil (0.001") of their reported slot dimension. MATERIALS AND METHODS:: A Nikon iNEXIV-VMA-2520 laser microscope was used to measure slots of six series of CIM brackets and two series of MIM brackets via a vision measuring system of 256 gray levels to capture each edge of the slot, largely taking out human subjectivity. This system had a maximum permissible error of 2 + 8 L/1000 µm with a point resolution of 0.1 µm and was estimated to be more accurate than previous methods by a factor of 10. The video image for each bracket was autofocused by a blinded operator, and 40 point-to-line measurements were calculated along the clinical slot and averaged. RESULTS:: Vertical slot dimension varied from series to series and within the series of brackets. Three of six CIM and two of three MIM brackets had a statistically significant mean slot size 0.001 inches larger than reported. The reported precision of these CIM brackets, as determined from standard deviation, varied from series to series. CONCLUSIONS:: A novel system that incorporates parallelism into analysis of vertical bracket slot dimension was described. When the entire clinically relevant slot was considered, MIM and CIM brackets had similar precision but were significantly oversized, with contribution from a nonparallel, likely diverging, vertical slot dimension.

Feasibility of Electronic Health Record-Based Triggers in Detecting Dental Adverse Events.

BACKGROUND: We can now quantify and characterize the harm patients suffer in the dental chair by mining data from electronic health records (EHRs). Most dental institutions currently deploy a random audit of charts using locally developed definitions to identify such patient safety incidents. Instead, selection of patient charts using triggers and assessment through calibrated reviewers may more efficiently identify dental adverse events (AEs). OBJECTIVE: Our goal was to develop and test EHR-based triggers at four academic institutions and find dental AEs, defined as moderate or severe physical harm due to dental treatment. METHODS: We used an iterative and consensus-based process to develop 11 EHR-based triggers to identify dental AEs. Two dental experts at each institution independently reviewed a sample of triggered charts using a common AE definition and classification system. An expert panel provided a second level of review to confirm AEs identified by sites reviewers. We calculated the performance of each trigger and identified strategies for improvement. RESULTS: A total of 100 AEs were identified by 10 of the 11 triggers. In 57% of the cases, pain was the most common AE identified, followed by infection and hard tissue damage. Positive predictive value (PPV) for the triggers ranged from 0 to 0.29. The best performing triggers were those developed to identify infections (PPV = 0.29), allergies (PPV = 0.23), failed implants (PPV = 0.21), and nerve injuries (PPV = 0.19). Most AEs (90%) were categorized as temporary moderate-to-severe harm (E2) and the remainder as permanent moderate-to-severe harm (G2). CONCLUSION: EHR-based triggers are a promising approach to unearth AEs among dental patients compared with a manual audit of random charts. Data in dental EHRs appear to be sufficiently structured to allow the use of triggers. Pain was the most common AE type followed by infection and hard tissue damage.

Assessing the validity of existing dental sealant quality measures.

BACKGROUND: Although sealants are highly effective in preventing caries in children, placement rates continue to be low. The authors' goals were to implement and assess the performance of 2 existing sealant quality measures against a manual audit of charts at 4 dental institutions and to identify measurement gaps that may be filled by using data from electronic health records. METHODS: The authors evaluated the performance of 2 quality measures designed for claims-based data: the Dental Quality Alliance (DQA) sealant measure, which includes patients at risk of developing elevated caries, and the Oregon Health Authority (OHA) sealant measure (irrespective of caries risk). The authors adapted and validated these measures at 4 sites: 3 dental schools and 1 large dental accountable care organization. RESULTS: The overall modified DQA and modified OHA measure scores in the 6- through 9-year-old age group were 37.0% and 31.6% and in the 10- through 14-year-old age group were 15.8% and 6.6%, respectively. Results from the manual review of charts showed that 67.6% of children who did not receive sealants did not have any teeth to seal because their molars had not yet erupted, had been extracted, had been sealed previously, or had existing caries or restorations. CONCLUSIONS: Both the DQA and OHA measures, which rely mainly on Current Dental Terminology procedure codes, led to underestimation of the care delivered from a practice perspective. Future sealant quality measures should exclude patients whose teeth cannot be sealed. PRACTICAL IMPLICATIONS: This study's results support the suitability of using electronic health record data for assessing the quality of oral health care, particularly for measuring sealant placement in children.

Dental Providers' Perspectives on Diagnosis-Driven Dentistry: Strategies to Enhance Adoption of Dental Diagnostic Terminology.

The routine use of standardized diagnostic terminologies (DxTMs) in dentistry has long been the subject of academic debate. This paper discusses the strategies suggested by a group of dental stakeholders to enhance the uptake of DxTMs. Through unstructured interviewing at the 'Toward a Diagnosis-Driven Profession' National Conference held on 19 March 2016 in Los Angeles, CA, USA participants were asked how enthusiastic they were about implementing and consistently using DxTMs at their work. They also brainstormed on strategies to improve the widespread use of DxTMs. Their responses are summarized by recursive abstraction and presented in themes. Conference participants were very enthusiastic about using a DxTM in their place of work. Participants enumerated several strategies to make DxTMs more appealing including: the use of mandates, a value proposition for providers, communication and education, and integration with EHRs and existing systems. All groups across the dental healthcare delivery spectrum will need to work together for the success of the widespread and consistent use of DxTMs. Understanding the provider perspective is however the most critical step in achieving this goal, as they are the group who will ultimately be saddled with the critical task of ensuring DxTM use at the point of care.

Adoption of dental innovations: The case of a standardized dental diagnostic terminology.

BACKGROUND: Standardized dental diagnostic terminologies (SDDxTs) were introduced decades ago. Their use has been on the rise, accompanying the adoption of electronic health records (EHRs). One of the most broadly used terminologies is the Dental Diagnostic System (DDS). Our aim was to assess the adoption of SDDxTs by US dental schools by using the Rogers diffusion of innovations framework, focusing on the DDS. METHODS: The authors electronically surveyed clinic deans in all US dental schools (n = 61) to determine use of an EHR and SDDxT, perceived barriers to adoption of an SDDxT, and the effect of implementing an SDDxT on clinical productivity. RESULTS: The response rate was 57%. Of the 35 responses, 91% reported using an EHR to document patient care, with 84% using axiUm; 41% used the DDS. Fifty-four percent of those who did not use an SDDxT had considered adopting the DDS, but 38% had not, citing barriers such as complexity and compatibility. CONCLUSIONS: Adoption of an SDDxT, particularly the DDS, is on the rise. Nevertheless, a large number of institutions are in the Rogers late majority and laggards categories with respect to adoption. Several factors may discourage adoption, including the inability to try out the terminology on a small scale, poor usability within the EHR, the fact that it would be a cultural shift in practice, and a perception of unclear benefits. However, the consolidation of the DDS and American Dental Association terminology efforts stands to encourage adoption. PRACTICAL IMPLICATIONS: The successful adoption of dental innovation depends not only on the intrinsic merit of the innovation, as some useful innovations do not achieve widespread traction. As such, it is important for health care providers to understand how to disseminate their ideas in order to ensure traction and widespread adoption.

Clinical documentation of dental care in an era of electronic health record use.

BACKGROUND: Although complete and accurate clinical records do not guarantee the provision of excellent dental care, they do provide an opportunity to evaluate the quality of care provided. However, a lack of universally accepted documentation standards, incomplete record-keeping practices, and unfriendly electronic health care record (EHR) user interfaces are factors that have allowed for persistent poor dental patient record keeping. METHODS: Using 2 different methods-a validated survey, and a 2-round Delphi process-involving 2 appropriately different sets of participants, we explored what a dental clinical record should contain and the frequency of update of each clinical entry. RESULTS: For both the closed-ended survey questions and the open-ended Delphi process questions, respondents had a significant degree of agreement on the "clinical entry" components of an adequate clinical record. There was, however, variance on how frequently each of those clinical entries should be updated. SUMMARY: Dental providers agree that complete and accurate record keeping is essential and that items such as histories, examination findings, diagnosis, radiographs, treatment plans, consents, and clinic notes should be documented. There, however, does not seem to be universal agreement how frequently such items should be recorded. CLINICAL IMPLICATIONS: As the dental profession moves towards prevalent use of electronic health care records, the issue of standardization and interoperability becomes ever more pressing. Settling issues of standardization, including record documentation, must begin with guideline-creating dental professional bodies, who need to clearly define and disseminate what these standards should be and everyday dentists who will ultimately ensure that these standards are met and kept.

Soya products and serum lipids: a meta-analysis of randomised controlled trials.

Soya proteins and isoflavones have been reported to exert beneficial effects on the serum lipid profile. More recently, this claim is being challenged. The objective of this study was to comprehensively examine the effects of soya consumption on the lipid profile using published trials. A detailed literature search was conducted via MEDLINE (from 2004 through February 2014), CENTRAL (The Cochrane Controlled Clinical Trials Register) and ClinicalTrials.gov for randomised controlled trials assessing the effects of soya on the lipid profile. The primary effect measure was the difference in means of the final measurements between the intervention and control groups. In all, thirty-five studies (fifty comparisons) were included in our analyses. Treatment duration ranged from 4 weeks to 1 year. Intake of soya products resulted in a significant reduction in serum LDL-cholesterol concentration, -4.83 (95% CI -7.34, -2.31) mg/dl, TAG, -4.92 (95% CI -7.79, -2.04) mg/dl, and total cholesterol (TC) concentrations, -5.33 (95% CI -8.35, -2.30) mg/dl. There was also a significant increase in serum HDL-cholesterol concentration, 1.40 (95% CI 0.58, 2.23) mg/dl. The I² statistic ranged from 92 to 99%, indicating significant heterogeneity. LDL reductions were more marked in hypercholesterolaemic patients, -7.47 (95% CI -11.79, -3.16) mg/dl, than in healthy subjects, -2.96 (95% CI -5.28, -0.65) mg/dl. LDL reduction was stronger when whole soya products (soya milk, soyabeans and nuts) were used as the test regimen, -11.06 (95% CI -15.74, -6.37) mg/dl, as opposed to when 'processed' soya extracts, -3.17 (95% CI -5.75, -0.58) mg/dl, were used. These data are consistent with the beneficial effects of soya proteins on serum LDL, HDL, TAG and TC concentrations. The effect was stronger in hypercholesterolaemic subjects. Whole soya foods appeared to be more beneficial than soya supplementation, whereas isoflavone supplementation had no effects on the lipid profile.

Attitudes toward and beliefs about the use of a dental diagnostic terminology: A survey of dental care providers in a dental practice.

BACKGROUND: Attitudes and views are critical to the adoption of innovation. Although there have been broadening calls for a standardized dental diagnostic terminology, little is known about the views of private practice dental team members regarding the adoption of such a terminology. METHODS: The authors developed a survey by using validated questions identified through literature review. Domain experts' input allowed for further modifications. The authors administered the final survey electronically to 814 team members at a multioffice practice based in the US Pacific Northwest. RESULTS: Response proportion was 92%. The survey had excellent reliability (Cronbach α coefficient = 0.87). Results suggested that participants showed, in general, positive attitudes and beliefs about using a standardized diagnostic terminology in their practices. Additional written comments by participants highlighted the potential for improved communication with use of the terminology. CONCLUSIONS: Dental care providers and staff in 1 multioffice practice showed positive attitudes about the use of a diagnostic terminology; specifically, they believed it would improve communication between the dentist and patient, as well as among providers, while expressing some concerns about whether using standardized dental diagnostic terms helps clinicians to deliver better dental care. PRACTICAL IMPLICATIONS: As the dental profession is advancing toward the use of standardized diagnostic terminology, successful implementation will require that dental team leaders prepare their teams by gauging their attitude about the use of such a terminology.