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Biomedical subjects

Suzanne Novak

Publications and source records attributed to Suzanne Novak.

5 recordsLinked to original sources
PubMed2006

Pharmacy students' learning styles before and after a problem-based learning experience.

OBJECTIVES: To determine learning-style scores of second-year pharmacy students before and after a problem-based learning (PBL) teaching experience and to evaluate the relationships between scores and demographic variables. METHODS: The Grasha-Reichmann Student Learning Style Scale (GRSLSS) was given to pharmacotherapy laboratory students before and after a semester-long problem-based learning class. RESULTS: Only one of the GRSLSS score variables was reported as "high" ("collaborative") and none were reported as "low." Students' "avoidant" mean score increased and "participant" mean score decreased after completing the PBL experience (p < or = 0.05). CONCLUSION: While PBL appears to be a teaching style that is conducive to the learning preferences of this cohort of pharmacy students, significant changes in learning styles were noted after completing the PBL experience. These changes may reflect difficulties that occurred in adapting from a didactic teaching style to PBL, and specifically, difficulties in adjusting to participating in a group learning experience. A major limitation was that the teaching style of the facilitator was not measured.

Educational Measurement↗
PubMed2006

Evaluation and comparison of models of metabolic syndrome using confirmatory factor analysis.

The aim of this study was to evaluate and compare three competing models of the underlying factor structure of metabolic syndrome using confirmatory factor analysis (CFA). Data from the Insulin Resistance Atherosclerosis Study (IRAS) was used, which has previously been evaluated using principal components analysis (PCA). The three models that were evaluated consisted of oblique and orthogonal two-factor models with hypothesized underlying "metabolic" and "blood pressure" factors, and a four-factor model theorizing "insulin resistance," "obesity," "lipids," and "blood pressure" as the underlying constructs. Several CFAs were performed using EQS Multivariate Software Version 5.7b with maximum likelihood estimation. The results showed that the four-factor model yielded significantly better data-model fit than two-factor models, with a comparative fit index of 0.963, and standardized root mean square residual of 0.036. Factors exhibited good construct reliability and variance extracted estimates except for the lipids factor. We concluded that the four-factor model of metabolic syndrome was the most plausible model among the three competing models.

Humans↗
PubMed2004

Trends in medical use and abuse of sustained-release opioid analgesics: a revisit.

OBJECTIVE: Previous literature suggests that increases in the medical use of opioids over the early 1990s did not contribute to increased morbidity secondary to opioid abuse. Our objective was to evaluate the period 1997-2001 to analyze trends in medical use and medical abuse of three classes of opioid analgesics that are commonly used in sustained-release formulations: fentanyl, morphine, and oxycodone. DESIGN AND SETTING: A retrospective analysis of the Drug Abuse Warning Network (DAWN) database and the Automation of Reports and Consolidated Orders System (ARCOS) database for the years 1997-2001 was used for this study. RESULTS: The analysis of the DAWN database showed that there was an 83.5% increase in all opioid analgesic mentions from 1997 to 2001. Mentions involving any fentanyl compound increased 249.8%, any morphine compound increased 161.8%, and any oxycodone-containing compound increased 267.3%. Mentions of each of these three classes of opioids remained less than 2% of all total drug mentions per year for each year studied. Medical use of the selected opioid classes, as reported in the ARCOS database and measured by grams distributed, all increased substantially (fentanyl 151.2%, morphine 48.8%, oxycodone 347.9%). CONCLUSION: Using this method of analysis, the rates of drug abuse, and resultant morbidity secondary to the use of opioid analgesics, remain low in spite of the increase in medical use of these substances.

Adolescent↗
PubMed2003

Implications of SARS: medical geography and surveillance in disease detection.

OBJECTIVE: To expose pharmacy educators and practitioners to concepts of medical geography and medical surveillance. Severe acute respiratory syndrome (SARS) is used as a case example because it is an emerging infection and a prime example of the type of disease that pharmacists may encounter in daily practice (e.g., easily transmitted, resembles the common cold). DATA SOURCES: We retrieved data from publications related to medical geography, medical surveillance, and SARS. Data on current SARS cases in Hong Kong were obtained from the Hong Kong Department of Health Web site. STUDY SELECTION AND DATA EXTRACTION: Variables regarding new cases and deaths due to SARS were evaluated. DATA SYNTHESIS: Background information on medical geography and medical surveillance was reviewed. Descriptive statistics were calculated for incidence, prevalence, and the number of deaths due to SARS in Hong Kong from March 14 to May 31, 2003. CONCLUSIONS: Emerging infections are a serious concern for both the public and healthcare practitioners. The recent global diffusion of SARS highlights the ease in which diseases can diffuse from place to place. Understanding concepts related to medical geography and medical surveillance can help pharmacists be better prepared to anticipate disease diffusion and to evaluate signs of emerging infections. In turn, this can help pharmacists be better prepared to provide information and care to their patients. The long-term benefit of understanding how diseases spread and the specific activities related to disease detection is an opportunity for expanding the scope of pharmacy practice.

Canada↗