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Biomedical subjects

Prakash Laud

Publications and source records attributed to Prakash Laud.

6 recordsLinked to original sources
PubMed2005

Prolonging the return visit interval in primary care.

PURPOSE: Extending the scheduled return visit interval has been suggested as one means to improve clinic access to the provider. However, prolonging the return visit interval may affect quality of care if prevention measures and chronic disease management receive less attention as clinic visits become less frequent. The purpose of this study was to determine whether a comprehensive education program could encourage providers to lengthen their return visit interval without compromising performance on key quality indicators. SUBJECTS AND METHODS: This was a prospective cohort study monitoring scheduling and performance data of primary care providers at the Milwaukee Veterans Affairs Medical Center. Following collection of baseline data (January through June 1999), providers were encouraged to lengthen the return visit interval while increasing reliance on nurses and other clinic staff for interim management of chronic disease. Provider-specific feedback of return visit interval and performance data was utilized to motivate behavioral change. Scheduling and clinical data were abstracted from random medical record audits performed at baseline and from July through December in the years 2000 and 2001. RESULTS: Compared with the baseline period, the percent of patients scheduled > or =6 months was significantly increased among staff providers and medicine residents at 2 years (Staff providers: 31% vs. 62%, P <0.001; Medicine residents: 22 vs. 44%, P <0.001). Colorectal screening, pneumonia immunizations, and achievement of therapeutic goals for diabetes, hypertension, and lipid disorders significantly improved at 2 years compared with baseline measurements. CONCLUSIONS: Educational interventions can successfully retrain providers to extend the return visit interval and reduce the scheduling of routine and perhaps unnecessary appointments. This can be accomplished without compromising important performance monitors for diabetes, lipid disorders, hypertension, and prevention.

Chronic Disease↗
PubMed2003

Economic expansion is a major determinant of physician supply and utilization.

OBJECTIVE: To assess the relationship between levels of economic development and the supply and utilization of physicians. DATA SOURCES: Data were obtained from the American Medical Association, American Osteopathic Assocation, Organization for Economic Cooperation and Development (OECD), Bureau of Health Professions, Bureau of Labor Statistics, Bureau of Economic Analysis, Census Bureau, Health Care Financing Administration, and historical sources. STUDY DESIGN: Economic development, expressed as real per capita gross domestic product (GDP) or personal income, was correlated with per capita health care labor and physician supply within countries and states over periods of time spanning 25-70 years and across countries, states, and metropolitan statistical areas (MSAs) at multiple points in time over periods of up to 30 years. Longitudinal data were analyzed in four complementary ways: (1) simple univariate regressions; (2) regressions in which temporal trends were partialled out; (3) time series comparing percentage differences across segments of time; and (4) a bivariate Granger causality test. Cross-sectional data were assessed at multiple time points by means of univariate regression analyses. PRINCIPAL FINDINGS: Under each analytic scenario, physician supply correlated with differences in GDP or personal income. Longitudinal correlations were associated with temporal lags of approximately 5 years for health employment and 10 years for changes in physician supply. The magnitude of changes in per capita physician supply in the United States was equivalent to differences of approximately 0.75 percent for each 1.0 percent difference in GDP. The greatest effects of economic expansion were on the medical specialties, whereas the surgical and hospital-based specialties were affected to a lesser degree, and levels of economic expansion had little influence on family/general practice. CONCLUSIONS: Economic expansion has a strong, lagged relationship with changes in physician supply. This suggests that economic projections could serve as a gauge for projecting the future utilization of physician services.

Cross-Sectional Studies↗
PubMed2002

Intracranial hemorrhage in children younger than 3 years: prediction of intent.

OBJECTIVE: To determine whether certain computed tomographic imaging patterns in infants and young children with intracranial hemorrhage help predict intentional compared with unintentional injuries. DESIGN: Retrospective consecutive case series over a 10-year period. PATIENTS: Two hundred ninety-three children younger than 3 years with intracranial hemorrhage. MAIN OUTCOME MEASURES: The sensitivity and specificity of computed tomographic imaging patterns for intentional head injury. SETTING: Regional pediatric medical center. RESULTS: Four variables used in the multiple logistic regression analysis for predicting intentional head injury were statistically significant (P<.05): subdural hematoma located over the cerebral convexities, hematoma within the interhemispheric subdural space, hygroma (nonhemic subdural fluid) with intracranial hemorrhage, and absence of a skull fracture with intracranial hemorrhage. The prediction model for the diagnosis of intentional head trauma using combinations of these 4 variables and a.45 probability cutoff point indicated a sensitivity of 84% (95% confidence interval, 78%-90%) and a specificity of 83% (95% confidence interval, 74%-89%). CONCLUSION: Computed tomographic imaging patterns of intracranial hemorrhage in children younger than 3 years help predict whether the injury was intentional.

Age Distribution↗
PubMed2002

Does breast tumor location influence success of sentinel lymph node biopsy?

BACKGROUND: Controversy exists regarding the influence of sentinel lymph node (SLN) mapping technique or patient variables on the success rate of SLN mapping. We undertook a prospective study in a single institution series to evaluate multiple variables that could adversely affect SLN identification rates. STUDY DESIGN: Data were collected on 174 patients who underwent 177 SLN mapping procedures followed by axillary dissection from October 1996 through January 2000. Patient demographics, body mass index (BMI), biopsy method, tumor size, palpability, and location were recorded. SLNs were identified by blue dye only (n = 31), Tc-99m sulfur colloid only (n = 34), or combined techniques (n = 112). Data were analyzed by logistic regression analysis and expressed as the probability of failure to map the SLN. RESULTS: SLNs were identified successfully in 150 of 177 procedures (85%) with a false negative rate of 3.7%. Mapping success reached 93% using combination blue dye and isotope. Variables found to adversely affect SLN mapping success and the odds ratio of failure (OR) included lower inner quadrant (LIQ) location (OR 35.6), blue dye only (OR 42.4), BMI >30 and upper outer quadrant (UOQ) location (OR 14.6), and nonpalpable UIQ location (OR 25). LIQ location adversely affects mapping success independent of technique, tumor size, or obesity. Obesity and nonpalpability were adverse factors when tumors were located in the UOQ and UIQ, respectively. Age, biopsy technique, and tumor diameter did not affect SLN mapping success. CONCLUSIONS: SLN mapping success is influenced by technique and tumor location, with best results achieved using combined techniques and for lesions located in quadrants other than the LIQ. Obesity and tumor palpability influence success in the context of tumor location.

Axilla↗
PubMedDate not supplied

Economic and demographic trends signal an impending physician shortage.

It is widely believed that the United States is producing too many physicians. We have approached this issue by developing a new model for workforce planning based on assessments of the macrotrends that underlie the supply and use of physician services. These trends include economic expansion, population growth, physicians' work effort, and the provision of services by nonphysician clinicians. Contrary to earlier predictions, this model projects that the United States soon will have a shortage of physicians and that if the pace of medical education remains unchanged, the shortage will become more severe. A dialogue focused on that eventuality is imperative.

Demography↗