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Research on the information-seeking behaviors of dental practitioners is scarce. Knowledge of dentists' informationseeking behaviors should advance the translational gap between clinical dental research and dental practice. A cross-sectional survey was conducted to examine the self-reported information-seeking behaviors of dentists in three dental practice-based research networks (PBRNs). A total of 950 dentists (65 percent response rate) completed the survey. Dental journals and continuing dental education (CDE) sources used and their influence on practice guidance were assessed. PBRN participation level and years since dental degree were measured. Full-participant dentists reported reading the Journal of the American Dental Association and General Dentistry more frequently than did their reference counterparts. Printed journals were preferred by most dentists. A lower proportion of full participants obtained their CDE credits at dental meetings compared to partial participants. Experienced dentists read other dental information sources more frequently than did less experienced dentists. Practitioners involved in a PBRN differed in their approaches to accessing information sources. Peer-reviewed sources were more frequently used by full participants and dentists with fifteen years of experience or more. Dental PBRNs potentially play a significant role in the dissemination of evidence-based information. This study found that specific educational sources might increase and disseminate knowledge among dentists. [ABSTRACT FROM AUTHOR]

Background: Efforts to improve the quality of care for patients with cardiovascular disease frequently target the decrease of physician-level performance variability. We assessed how variability in providing β-blockers to ambulatory postmyocardial infarction (MI) patients was influenced by physician and patient level characteristics.Methods and Results: β-Blocker prescription and patient characteristics were abstracted from charts of post-MI patients treated by 133 primary care physicians between 2003 and 2007 and linked to physician and practice characteristics. Associations of β-blocker prescription with physician- and patient-level characteristics were examined using mixed-effects models, with physician-level effects as random. Mean physician-specific predicted probabilities and the intraclass correlations, which assessed the proportion of variance explainable at the physician level, were estimated. Of 1901 patients without major contraindication, 69.1% (range across physicians, 20% to 100%) were prescribed β-blockers. Prescription varied with comorbidity from 78.3% in patients with chronic kidney disease to 54.7% for patients with stroke. Although physician characteristics such as older physician age, group practice, and rural location were each positively associated with β-blocker prescription, physician factors accounted for only 5% to 8% of the variance in β-blocker prescription; the preponderance of the variance, 92% to 95%, was at the patient level. The mean physician-specific probability of β-blocker prescription (95% confidence interval) in the fully adjusted model was 63% (61% to 65%).Conclusions: β-Blocker prescription rates were surprisingly low. The contribution of physician factors to overall variability in β-blocker prescription, however, was limited. Increasing evidence-based use of β-blockers may not be accomplished by focusing mostly on differential performance across physicians. [ABSTRACT FROM AUTHOR]

Background: The influence of an opinion leader intervention on adherence to Unstable Angina (UA) guidelines compared with a traditional quality improvement model was investigated. Research Design: A group-randomized controlled trial with 2210 patients from 21 hospitals was designed. There were three intervention arms: (1) no intervention (NI); (2) a traditional Health Care Quality Improvement Program (HCQIP); and (3) a physician opinion leader in addition to the HCQIP model (OL). Quality indicators included: electrocardiogram within 20 minutes, antiplatelet therapy within 24 hours and at discharge, and heparin and beta-blockers during hospitalization. Hospitals could determine the specific indicators they wished to target. Potential cases of UA were identified from Medicare claims data. UA confirmation was determined by a clinical algorithm based on data abstracted from medical records. Data analyses included both hospital level analysis (analysis of variance) and patient level analysis (generalized linear models). Results: The only statistically significant postintervention difference in percentage compliant was greater improvement for the OL group in the use of antiplatelet therapy at 24 hours in both hospital level (P = 0.01) and patient level analyses (P <0.05) compared with the HCQIP and NI groups. When analyses were confined to hospitals that targeted specific indicators, compared with the HCQIP hospitals, the OL hospitals showed significantly greater change in percentage compliant postintervention in both antiplatelet therapy during the first 24 hours (20.2% vs. -3.9%, P = 0.02) and heparin (31.0% vs.9.1%, P = 0.05). Conclusions: The influence of physician opinion leaders was unequivocally positive for only one of five quality indicators. To maximize adherence to best practices through physician opinion leaders, more research on how these physicians influence health care delivery in their organizations will be required. [ABSTRACT FROM AUTHOR]

Objective: To assess whether chronic disease is a barrier to screening for breast and cervical cancer.Design: Structured medical record review of a retrospectively defined cohort.Setting: Two primary care clinics of one academic medical center.Patients: All eligible women at least 43 years of age seen during a 6-month period in each of the two study clinics (n = 1,764).Measurements and Main Results: Study outcomes were whether women had been screened: for mammogram, every 2 years for ages 50-74; for clinical breast examinations (CBEs), every year for all ages; and for Pap smears, every 3 years for ages under 65. An index of comorbidity, adapted from Charlson (0 for no disease, maximum index of 8 among our patients), and specific chronic diseases were the main independent variables. Demographics, clinic use, insurance, and clinical data were covariates. In the appropriate age groups for each test, 58% of women had a mammogram, 43% had a CBE, and 66% had a Pap smear. As comorbidity increased, screening rates decreased (p < .05 for linear trend). After adjustment, each unit increase in the comorbidity index corresponded to a 17% decrease in the likelihood of mammography (p = .005), 13% decrease in CBE (p = .006), and 20% decrease in Pap smears (p = .002). The rate of mammography in women with stable angina was only two fifths of that in women without.Conclusions: Among women who sought outpatient care, screening rates decreased as comorbidity increased. Whether clinicians and patients are making appropriate decisions about screening is not known. [ABSTRACT FROM AUTHOR]