A comparison of dental restoration outcomes after placement by restorative function auxiliaries versus dentists.

OBJECTIVES: To compare the outcomes of restorations placed by restorative function auxiliaries (RFAs) with those placed by dentists. METHODS: Between July 1, 2007, and June 30, 2008, we matched 455 restorations placed by RFAs working at HealthPartners Dental Group with the same number placed by dentists. Restorations were matched by tooth number, American Dental Association procedure code, and patient age-group. RESULTS: Of 910 restorations, 17 (1.9 percent) had problems potentially related to the filling or crown placement during the first year. Problem rates were not significantly different (p = 0.33) for restorations placed by RFAs (1.3 percent, 6 of 455) and those placed by dentists (2.4 percent, 11 of 455). CONCLUSIONS: There was no significant difference in problem rates for restorations placed by RFAs versus those placed by dentists. This finding may free dentists to handle more difficult cases, alleviating some of the pressures of daily practice and meeting the need for improved access.

Impact of electronic health record clinical decision support on diabetes care: a randomized trial.

PURPOSE: We wanted to assess the impact of an electronic health record-based diabetes clinical decision support system on control of hemoglobin A(1c) (glycated hemoglobin), blood pressure, and low-density lipoprotein (LDL) cholesterol levels in adults with diabetes. METHODS: We conducted a clinic-randomized trial conducted from October 2006 to May 2007 in Minnesota. Included were 11 clinics with 41 consenting primary care physicians and the physicians' 2,556 patients with diabetes. Patients were randomized either to receive or not to receive an electronic health record (EHR)-based clinical decision support system designed to improve care for those patients whose hemoglobin A(1c), blood pressure, or LDL cholesterol levels were higher than goal at any office visit. Analysis used general and generalized linear mixed models with repeated time measurements to accommodate the nested data structure. RESULTS: The intervention group physicians used the EHR-based decision support system at 62.6% of all office visits made by adults with diabetes. The intervention group diabetes patients had significantly better hemoglobin A(1c) (intervention effect -0.26%; 95% confidence interval, -0.06% to -0.47%; P=.01), and better maintenance of systolic blood pressure control (80.2% vs 75.1%, P=.03) and borderline better maintenance of diastolic blood pressure control (85.6% vs 81.7%, P =.07), but not improved low-density lipoprotein cholesterol levels (P = .62) than patients of physicians randomized to the control arm of the study. Among intervention group physicians, 94% were satisfied or very satisfied with the intervention, and moderate use of the support system persisted for more than 1 year after feedback and incentives to encourage its use were discontinued. CONCLUSIONS: EHR-based diabetes clinical decision support significantly improved glucose control and some aspects of blood pressure control in adults with type 2 diabetes.

Dental Decision Simulation (DDSim): Development of a virtual training environment.

PURPOSE: Case-based simulations are powerful training tools that can enhance learning and drive behavior change. This is an overview of the design/development of Dental Decision Simulation (DDSim), a web-based simulation of an electronic dental record (EDR). The purpose was to use DDSim to train dentists to make evidence-based treatment planning decisions consistent with current evidence. This simulated EDR provides case-based information in support of a set of defined evidence-based learning objectives. METHODS: The development of this complex simulation model required coordinated efforts to create several components: identify behavior changes, case authoring mechanism, create virtual patient visits, require users to make treatment plan decisions related to learning objectives, and a feedback mechanism to help users recognize departures from those learning objectives. This simulation was evaluated in a 2-arm, clinic-randomized, controlled pilot study examining the extent to which DDSim changed dentists' planned treatment to conform to evidence-based treatment guidelines relative to change in dentists not exposed to DDSim. Outcomes were measured by comparing preintervention and postintervention patient EDR treatment data. RESULTS: Changes in behavior over time did not favor intervention or control clinics. CONCLUSION: DDSim provides a standardized learning platform that cannot be achieved through the use of live patients. Both live patients and case-based simulations can be used to transfer knowledge and skill development. DDSim offers the advantage of providing a platform for developing treatment planning skills in a low-risk environment. However, further research examining behavior change is needed.

Does diabetes double the risk of depression?

PURPOSE: In this study, we compared the rate of depression diagnoses in adults with and without diabetes mellitus, while carefully controlling for number of primary care visits. METHODS: We matched adults with incident diabetes (n = 2,932) or prevalent diabetes (n = 14,144) to nondiabetic control patients based on (1) age and sex, or (2) age, sex, and number of outpatient primary care visits. Logistic regression analysis was used to assess the association between various predictors and a diagnosis of depression in each diabetes cohort relative to matched nondiabetic control patients. RESULTS: With matching for age and sex alone, patients with prevalent diabetes having few primary care visits were significantly more likely to have a new depression diagnosis than matched control patients (odds ratio [OR] = 1.46, 95% confidence interval [CI], 1.19-1.80), but this relationship diminished when patients made more than 10 primary care visits (OR = 0.95, 95% CI, 0.77-1.17). With additional matching for number of primary care visits, patients with prevalent diabetes mellitus with few primary care visits were more likely to have a new diagnosis of depression than those in control group (OR = 1.32, 95% CI, 1.07-1.63), but this relationship diminished and reversed when patients made more than 4 primary care visits (OR = 0.99, 95% CI, 0.80-1.23). Similar results were observed in the subset of patients with incident diabetes and their matched control patients. CONCLUSIONS: Patients with diabetes have little or no increase in the risk of a new diagnosis of depression relative to nondiabetic patients when analyses carefully control for the number of outpatient visits. Studies showing such an association may have inadequately adjusted for comorbidity or for exposure to the medical care system.

Exploring the contributions of components of caries risk assessment guidelines.

OBJECTIVE: To examine the relative contribution of current caries activity, past caries experience, and dentists' subjective assessment of caries risk classifications. METHODS: Administrative data from two dental plans were analyzed to determine dentists' risk classification, as well as current caries activity and previous caries experience at the time of the classification. The performance of these predictors in identifying patients who would experience subsequent caries was then modeled using logistic regression. RESULTS: In both plans, current caries activity alone had relatively low sensitivity and high specificity in identifying patients who would experience subsequent caries. Sensitivity improved, but at the cost of specificity when previous caries experience was included in the models. Further improvement in sensitivity accrued when dentists' subjective assessment was included, but performance was different in the two plans in terms of false-positives. CONCLUSIONS: Consideration of previous caries experience tends to strengthen the predictive power of caries risk assessments. Dentists' subjective assessments also tend to improve sensitivity, but overall accuracy may suffer.

Variation in quality of diabetes care at the levels of patient, physician, and clinic.

INTRODUCTION: We studied variance in glycated hemoglobin (HbA1c) values among adults with diabetes to identify variation in quality of diabetes care at the levels of patient, physician, and clinic, and to identify which levels contribute the most to variation and which variables at each level are related to quality of diabetes care. METHODS: Study subjects were 120 primary care physicians and their 2589 eligible adult patients with diabetes seen at 18 clinics. The dependent variable was HbA1c values recorded in clinical databases. Multivariate hierarchical models were used to partition variation in HbA1c values across the levels of patient, physician, or clinic and to identify significant predictors of HbA1c at each level. RESULTS: More than 95% of variance in HbA1c values was attributable to the patient level. Much less variance was seen at the physician and clinic level. Inclusion of patient and physician covariates did not substantially change this pattern of results. Intensification of pharmacotherapy (t = -7.40, P < .01) and patient age (t = 2.10, P < .05) were related to favorable change in HbA1c. Physician age, physician specialty, number of diabetes patients per physician, patient comorbidity, and clinic assignment did not predict change in HbA1c value. The overall model with covariates explained 11.8% of change in HbA1c value over time. CONCLUSION: These data suggest that most variance in HbA1c values is attributable to patient factors, although physicians play a major role in some patient factors (e.g., intensification of medication). These findings may lead to more effective care-improvement strategies and accountability measures.

Clinical inertia in dentistry: a review of the phenomenon.

AIM: Dentistry has been slow to adopt innovations in dental practice even when they are recommended by national organizations and supported by evidence-based guidelines. The objective of this review is to describe clinical inertia, a concept described frequently in the medical literature, and to use findings from tobacco cessation and dental sealant studies as evidence of its existence. METHODS AND MATERIALS: A review of the literature published during the past 30 years was conducted to determine the state of affairs of two very different areas of dental practice, tobacco cessation intervention and application of sealants, to demonstrate the concept of clinical inertia in dental practice. Factors such as over estimating services provided, unfounded reasons not to act, lack of adequate training, and competing demands that account for the inertia were examined. DISCUSSION: Clinical inertia is a complex concept that needs more attention in dentistry. A variety of strategies will be required to overcome it in order to provide the best care for the public. CONCLUSION: Clinical inertia is a useful paradigm for explaining delays in the incorporation of new knowledge into clinical practice. It offers a model against which the broader dental community can develop and test strategies to reduce the delays in translating best practices into daily practices. CLINICAL SIGNIFICANCE: The path to providing state-of-the-art care for the public is to engage in the discovery, dissemination, and acquisition of new knowledge then transform it into evidence-based best practices to be used in daily clinical practice.

Development, validity and reliability of the Orofacial Esthetic Scale - Spanish version.

PURPOSE: To develop a Spanish version of the Orofacial Esthetic Scale (OES-Sp) and to determine its psychometric properties in dental patients. METHODS: We performed a validation study for OES development and validation into Spanish. In the development phase, eight individuals participated in the translation process (cross-cultural adaptation) following the PROMIS methodology. In the validation phase, 331 dental patients (age mean±sd: 42.9±12.3years, 59 % female) from the HealthPartners dental clinics in Minnesota, USA responded to a survey of Spanish speaking patients (n=540, response rate: 61 %). We first explored dimensionality by means of exploratory factor analysis and scree plot, and then we computed reliability measures with the Cronbach's alpha statistic. Finally, we assessed convergent validity by computing Pearson/Spearman rank correlations between OES-Sp and Oral Health Impact Profile (OHIP)-based orofacial appearance measures. All statistical procedures were performed using Stata v.13 for Windows (StataCorp). RESULTS: Exploratory factor analysis provided evidence that a single factor represents the Spanish OES version. Score reliability was high with Cronbach's alpha statistic of 0.95 (lower limit of the 95 % CI: 0.94). Score validity was sufficient indicated by Pearson and Spearman rank correlations between -0.53 and -0.69 (all 95 % confidence intervals: less than ± 0.10). CONCLUSIONS: OES is a valuable instrument to measure the orofacial appearance construct for Spanish-speaking populations. OES was concluded to be unidimensional with excellent score reliability and sufficient convergent score validity when compared with other Orofacial Appearance measures. Our results suggest that OES could be used in Spanish-speaking patients, an important and growing population around the globe.

Impact of office systems and improvement strategies on costs of care for adults with diabetes.

OBJECTIVE: To assess the impact of organizational features and improvement strategies of primary care clinics on health care costs of adults with diabetes. RESEARCH DESIGN AND METHODS: This study included a prospective cohort study of 1,628 adults with diabetes in a large, health care organization receiving care in 84 clinics within 18 medical groups. Data from surveys of patients, clinic medical directors and managers, and medical record reviews were merged with 3 years of medical claims. Costs were estimated using health plan data on resource use and common Medicare payment methodologies. Generalized linear regression models were used to analyze costs related to clinic characteristics, adjusting for individual patient comorbidity, demographic, and socioeconomic factors. RESULTS: Clinics with regular clinician meetings to discuss patient care problems and clinics that used diabetes registries to prioritize patients based on cardiovascular risk were associated with lower 3-year costs: -$3,962 (P = 0.002) and -$2,916 (P = 0.019), respectively. The use of databases to monitor lab results was associated with higher costs ($2,439, P = 0.038). Quality improvement strategies focused on resource use related to diabetes care (-$2,883, P = 0.017) or heart disease care (-$3,228, P = 0.014) were associated with lowered costs, whereas quality improvement strategies that emphasized pharmacy use for patients with heart disease ($3,059, P = 0.029) or depression ($2,962, P = 0.038) were associated with increased costs. CONCLUSIONS: Several organizational features of primary care offices were significant predictors of future health care costs for adults with diabetes. The mechanism by which such factors affect costs of care and the relationship of costs to clinical outcomes merits further evaluation.

Diabetes: how are we diagnosing and initially managing it?

PURPOSE: We undertook this study to examine the symptoms, clinical events, and types of health care encounters that preceded the diagnosis of diabetes mellitus in adults, and to examine changes in glycemic control and cardiovascular risk factors in the first year after a diabetes diagnosis. METHODS: We conducted a historical cohort study of patients in a large multispecialty medical group in Minnesota. Among 55,121 adults who were continuously enrolled in the health plan and receiving care at the study medical group from January 1, 1993, to December 31, 1996, we identified 504 who received a new diagnosis of diabetes in 1995 or 1996. Our main outcome measures were the type of symptoms at diagnosis; the clinical circumstances and type of encounter that led to diabetes diagnosis; and changes in glycemic control (assessed by hemoglobin A1c [HbA1c] value), low-density lipoprotein cholesterol level, blood pressure (BP), aspirin use, and body weight in the first year after diagnosis, ascertained from a detailed review of medical records. RESULTS: Almost one third (32.3%) of adults with newly diagnosed diabetes had symptoms of hyperglycemia at initial diagnosis. Compared with patients who did not have hyperglycemia symptoms at diagnosis, those who did were younger and more often male, and had lower comorbidity scores and higher HbA1c values (9.9% vs 8.1%) at diagnosis (P <.01 for each comparison). In the 12 months after diagnosis, the group as a whole had significant improvements (P <.001) in HbA1c values (from 8.8% to 7.1%), systolic blood pressure (137.5 to 133.2 mm Hg), diastolic blood pressure (80.7 to 77.3 mm Hg), weight (207.7 to 201.1 lb), and aspirin use (15.3% to 26.1%). Improvements were seen in all patient subgroups, including those defined by symptoms at diagnosis and by visit type at diagnosis. CONCLUSIONS: Primary care practices may improve detection of undiagnosed diabetes in primary care and improve 1-year outcomes by being vigilant for symptoms of diabetes, by evaluating those at high risk for this disorder, and by instituting appropriate treatments at the time of diagnosis.

Outcomes associated with dentists' risk assessment.

OBJECTIVE: To examine retrospectively the caries-related restorative experience of at-risk individuals who received fluoride-based preventive interventions to determine if the intervention resulted in fewer caries-related procedures. METHODS: Administrative data from two dental health plans were used to determine the relationship between caries risk assessment (CRA) scores, preventive treatment and caries-related treatment procedures. We identified 45 693 adults who were consecutively enrolled for at least 1 year before and 2.5 years after the CRA. Variables representing the number of teeth with any caries-related treatment procedure and receipt of preventive treatment were created. RESULTS: The outcome variable of interest was having at least one tooth with a caries-related procedure in the 2-year follow-up period. In plan A, the recommendation for home-use fluoride was not significantly related to caries-related treatment procedures in the follow-up period for individuals at low, moderate or high risk (P > 0.300). In plan B, application of in-office fluoride was associated with having at least one tooth with a caries-related treatment procedure in the follow-up period (P < 0.001). CONCLUSIONS: We found incomplete compliance with guidelines for recommendation or administration of preventive treatment for patients at elevated risk for caries. We were also unable to identify any significant reductions in caries-related procedures for individuals receiving a fluoride intervention, compared with those who did not, when stratified by risk level.

The relationship between cardiovascular xerogenic medication intake and the incidence of crown/root restorations.

OBJECTIVES: This retrospective, longitudinal cohort study quantified the strength of the association between xerogenic cardiovascular medication use and dental restorations, using the latter as a proxy measure for dental caries experience. METHODS: Study data were collected from 11 years of electronic clinical/pharmacy records in two large dental group practices associated with managed care organizations (MCO). Records were extracted for all members who were at least 55 years old at the end of the 11 year window, and had at least 48 months of concurrent dental, medical, and pharmacy coverage. The authors identified 4448 individuals whose only xerogenic medication exposure was to drugs treating a cardiovascular condition. This group was compared to a group not taking any medications (n=1183), and a group taking medications with no known xerostomic side effect (n=5622). Poisson regression compared restoration incidence and mean restoration rates among the three groups. RESULTS: MCO members taking cardiovascular or nonxerogenic medications had higher restoration incidence and mean restoration rates than individuals taking no medications. A small difference in mean restoration rate between the non-xerogenic medication group and the cardiovascular drug group was observed; no significant difference in restoration incidence was seen between these two groups. CONCLUSIONS: This study provides objective quantification of cardiovascular medication's long-term effects on increased restorations in older adults. When grouped under a single category labeled "cardiovascular", drugs with effects targeting the cardiovascular system did not appear to unequivocally lead to higher restorative experiences.

Predictors of health care costs in adults with diabetes.

OBJECTIVE: The purpose of this study was to assess the impact of baseline A1c, cardiovascular disease, and depression on subsequent health care costs among adults with diabetes. RESEARCH DESIGN AND METHODS: A prospective analysis was performed of data from a patient survey and medical record review merged with 3 years of medical claims. Costs were estimated using detailed data on resource use and Medicare payment methodologies. Generalized linear models were used to analyze costs related to clinical predictors after adjusting for demographic and socioeconomic factors. RESULTS: In multivariate analysis of 1,694 adults with diabetes, 3-year costs in those with coronary heart disease (CHD) and hypertension were over 300% of those with diabetes only (46,879 dollars vs. 14,233 dollars; P < 0.05). Depression was associated with a 50% increase in costs (31,967 dollars vs. 21,609 dollars; P < 0.05). Relative to those with a baseline A1c of 6%, those with an A1c of 10% had 3-year costs that were 11% higher (26,408 dollars vs. 23,873 dollars; P < 0.05). Higher A1c predicted higher costs only for those with baseline A1c >7.5% (P = 0.015). CONCLUSIONS: In adults with diabetes, CHD, hypertension, and depression spectrum disorders more strongly predicted future costs than the A1c level. Concurrent with aggressive efforts to control glucose, greater efforts to prevent or control CHD, hypertension, and depression are necessary to control health care costs in adults with diabetes.

Randomized trial of quality improvement intervention to improve diabetes care in primary care settings.

OBJECTIVE: To assess the impact of a quality improvement (QI) intervention on the quality of diabetes care at primary care clinics. RESEARCH DESIGN AND METHODS: Twelve primary care medical practices were matched by size and location and randomized to intervention or control conditions. Intervention clinic staff were trained in a seven-step QI change process to improve diabetes care. Surveys and medical record reviews of 754 patients, surveys of 329 clinic staff, interviews with clinic leaders, and analysis of training session videotapes evaluated compliance with and impact of the intervention. Mixed-model nested analyses compared differences in the quality of diabetes care before and after intervention. RESULTS: All intervention clinics completed at least six steps of the seven-step QI change process in an 18-month period and, compared with control clinics, had broader staff participation in QI activities (P = 0.04), used patient registries more often (P = 0.03), and had better test rates for HbA(1c) (A1C), LDL, and blood pressure (P = 0.02). Other processes of diabetes care were unchanged. The intervention did not improve A1C (P = 0.54), LDL (P = 0.46), or blood pressure (P = 0.69) levels or a composite of these outcomes (P = 0.35). CONCLUSIONS: This QI change process was successfully implemented but failed to improve A1C, LDL, or blood pressure levels. Data suggest that to be successful, such a QI change process should direct more attention to specific clinical actions, such as drug intensification and patient activation.

Impact of an electronic medical record on diabetes quality of care.

PURPOSE: This study was designed to evaluate the impact of electronic medical record (EMR) implementation on quality of diabetes care. METHODS: We conducted a 5-year longitudinal study of 122 adults with diabetes mellitus at an intervention (EMR) clinic and a comparison (non-EMR) clinic. Clinics had similarly trained primary care physicians, similar patient populations, and used a common diabetes care guideline that emphasized the importance of glucose control. The EMR provided basic decision support, including prompts and reminders for diabetes care. Preintervention and postintervention frequency of testing for glycated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels were compared with and without adjustment for patient age, sex, comorbidity, and baseline HbA1c level. RESULTS: Frequency of HbA1c tests increased at the EMR clinic compared with the frequency at the non-EMR clinic (P < .001). HbA1c levels improved in both clinics (P < .05) with no significant differences between clinics 2 years (P = .10) or 4 years (P = .27) after EMR implementation. Similar results were observed for LDL levels. CONCLUSIONS: In this controlled study, EMR use led to an increased number of HbA1c and LDL tests but not to better metabolic control. If EMRs are to fulfill their promise as care improvement tools, improved implementation strategies and more sophisticated clinical decision support may be needed.

Making improvements in the management of patients with type 2 diabetes: a possible role for the control of variation in glycated hemoglobin.

Glucose level varies over time due to a number of complex physiologic processes. Evidence suggests variation in glucose level contributes to risk of complications. The timescale associated with variation in glucose level is on the order of seconds to minutes, yet diabetes complications stem from years of cumulative effects. This difference between timescale suggests a slower timescale may better represent the influential component of variation. We hypothesize variation in glycated hemoglobin captures the component of variation associated with future complications. Moreover, we hypothesize that patient-management strategies influence variation in glycated hemoglobin level. From a systems control perspective, increasing variation may well reflect a policy of closed loop feedback control where changes in patient glycated hemoglobin are addressed after the fact. Such a strategy attends to problems as they arise. In contrast, decreasing variation may result from a clinical strategy that is anticipatory and proactive. A physician using a proactive strategy will base current moves on anticipation of future states, controlling variation in patient outcomes such as glycated hemoglobin. We motivate our discussion using observational data from a large multispecialty medical group in Minnesota: we characterize the within-patient trend and variation of glycated hemoglobin in adults with type 2 diabetes, describe patterns of variation, and identify factors associated with variation. Our hypotheses imply: (1) patterns of variation in glycated hemoglobin reflect physician treatment strategy; (2) variation provides an independent contribution to risk of diabetes complications; (3) the development of treatment strategies that control variation may be a beneficial goal in the management of type 2 diabetes.

Antidepressant xerogenic medications and restoration rates.

OBJECTIVES: This report examines the association between xerogenic antidepressant medication use and dental restorations (a proxy for dental caries). METHODS: Data for this study was collected from the electronic databases of two large dental group practices associated with two managed care organizations. The population examined was at least 55-year-old on the reference date and had at least 48 months of concurrent dental, medical and pharmacy coverage. We identified 915 individuals whose only exposure to a xerogenic medication was to an antidepressant. This group was compared with a group not on any medications and to a group on medications without any known xerostomic side effect. RESULTS: Poisson regression was used to compare restoration occurrence and restoration rates among the three groups. The antidepressant medication and the no xerogenic medication groups were more likely to have restorations than the no medication group but there was no difference in restoration rates between the two medication groups. The mean restoration rates were significantly different between the three groups with the antidepressant group having the highest restoration rate. The no xerogenic group also had a higher rate than the no medication group but not as high as the antidepressant group rate. CONCLUSIONS: This study provides objective quantification of the long-term effects that anti-depressant medications have on restoration use.

The QUEST for quality: what are medical groups doing about it?

BACKGROUND: It is important to know whether medical groups have quality improvement (QI) priorities, approaches, activities, and congruence that will allow them to achieve major improvements in quality of care. METHODS: Simultaneous surveys were sent to medical and administrative leaders of 18 medical groups, 84 of their constituent clinics, and their primary care physicians providing the majority of the primary care in the Minneapolis/St. Paul metropolitan area. RESULTS: Of the 18 medical groups, 17 have an overall physician leader for QI and 11 have the same at each of their constituent clinics. Nearly 100% of clinic leaders report their group leaders see QI as important and expect clinics to improve care, while 69%-84% of their physicians report the clinic leaders are committed to QI for diabetes and heart disease. Diabetes and coronary heart disease are the priorities for improvement by 14 and 12 medical groups respectively. Only seven groups report adequate QI resources and only three report that incentives are aligned with quality. Intermediate groups generally appear to be just as active and supportive of QI as large ones. DISCUSSION: These medical groups and their constituent clinics and physicians appear ready to work on the issues raised by the Institute of Medicine (IOM). However, they believe that limited resources and financial incentives that are not aligned with quality constrain their ability to help America cross the quality chasm.

Validation of a simple approach to caries risk assessment.

OBJECTIVE: This study examined the predictive validity of a simple subjective method promoted to dentists for assessing their patients' caries risk. METHODS: Data from two large group practices that have used guideline-assisted caries risk assessment (CRA) for several years were analyzed retrospectively to determine the receipt of caries-related treatment following a CRA. Patient age and receipt of caries preventive treatment subsequent to the CRA were control variables in logistic regressions to determine the likelihood of caries-related treatment for low, moderate, and high risk groups. RESULTS: Among 45,693 individuals in the two plans, those categorized as being at high caries risk were approximately four times as likely to receive any caries-related treatment as those categorized as being at low caries risk. Those categorized as at moderate risk were approximately twice as likely to receive any treatment. In addition, for those at elevated risk who required any treatment, the number of teeth requiring treatment was larger. CONCLUSION: The results of this study provide the first large-scale, generalizable evidence for the validity of dentists' subjective assessment of caries risk.

Is patient readiness to change a predictor of improved glycemic control?

OBJECTIVE: To test the hypothesis that patient readiness to change (RTC) predicts future changes in glycemic control in adults with diabetes. RESEARCH DESIGN AND METHODS: We linked survey data with HbA1c data for a stratified random sample of consenting adults with diabetes. Change in HbA1c from baseline to the 1-year follow-up was computed and used as a dependent variable. Linear regression models assessed RTC and other patient variables as predictors of HbA1c change. RESULTS: Among 617 patients with baseline HbA1c > or = 7% and complete data for analysis, RTC predicted subsequent improvement in HbA1c for those with higher physical functioning (interaction t = -2.45, P < 0.05). Other factors that predicted HbA1c improvement in multivariate linear regression models included higher self-reported medication adherence (t = -4.41, P < 0.01), higher baseline HbA1c (t = -15.08, P < 0.01), and older age (t = -2.61, P < 0.01). CONCLUSIONS: Diabetes RTC independently predicts change in HbA1c for patients with high but not for patients with low functional health status. Customized use of RTC assessment may have potential to improve care.