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Biomedical subjects

R Cooter

Publications and source records attributed to R Cooter.

15 recordsLinked to original sources

Ultrasound-assisted lipoplasty.

BACKGROUND: Ultrasound-assisted lipoplasty (UAL) has been associated with particular types of complications and uncertain long-term effects arising from interactions between ultrasonic energy and living tissue. The present review seeks to address these issues. METHODS: Search strategy Three search strategies were devised to retrieve literature from Medline, Current Contents, Embase and Cochrane Library databases up until April 2000. Study selection Inclusion of papers was largely determined using a predetermined protocol. English language papers were selected. Acceptable study designs included randomized controlled trials, controlled clinical trials, case series or case reports. Data collection and analysis Thirty-six papers met the inclusion criteria. They were tabulated and critically appraised in terms of methodology and design, outcomes, and the possible influence of bias, confounding and chance. Other papers were also included to provide background material. RESULTS: There was little high-level evidence available comparing UAL and suction-assisted lipoplasty (SAL), with no conclusive evidence that UAL has a safety benefit, although low-quality evidence suggests that UAL is associated with reduced surgeon fatigue as well as increased operating times, slower aspiration rates and an increased learning curve. There is inadequate evidence to determine whether the theoretical potential for DNA damage from ultrasound is realized in the clinical setting. CONCLUSIONS: The evidence base for UAL is inadequate to determine the procedure's safety and efficacy. The potential for DNA damage must be investigated with appropriate in vivo animal models. Recommendations for the safe use of UAL are discussed.

Adipose Tissue↗

Factors influencing students' borrowing that may affect their specialty choices and other after-graduation behaviors.

PURPOSE: To assess the factors that influence medical students' borrowing and how these factors may affect access to the profession, specialty choice, and medical graduates' repayment behaviors. METHOD: The borrowing patterns of the 3,495 indebted students enrolled at Jefferson Medical College of Thomas Jefferson University between 1989-90 and 1994-95 were analyzed. (Debt included both subsidized and unsubsidized debt.) These borrowing patterns were assessed in relation to changes in the cost of education, family (i.e., parents') income, availability of grant funding, legislative changes to loan-eligibility criteria (specifically, the Higher Education Amendments of 1992), and average interest rates on federal unsubsidized loans. RESULTS: The annual changes in average debt levels suggest that while cost of education, family resources, and availability of grant funding may be significant factors, changes in loan eligibility and prevailing interest rates on unsubsidized loan source also influence medical students' borrowing. A comparison of the borrowing patterns for three income groups (low, middle, high) further demonstrated that while overall fluctuations for low-income group mirrored changes in the cost and resource variables, annual borrowing fluctuations for the middle- and high-income groups were more reflective of the expansion of loan eligibility and reduced interest rates on unsubsidized loans. From 1989-90 to 1994-95 the average cost of education increased by $2,368. Average unsubsidized debt increased by $1,544 for the low-income group, $3,960 for the middle-income group, and $4,439 for the high-income group. The percentage of unsubsidized funding included in the borrowers' financing packages increased by just under 6% for the low-income group but almost 10% and 11% for the middle- and high-income groups, respectively. CONCLUSION: The results suggest that medical students borrow for a variety of reasons, ranging from financial need to personal financing or lifestyle choices. These reasons should be considered in relation to institutional and governmental financial aid policies and future research on the relationship between debt and speciality choice.

Academic Medical Centers↗

A model for predicting HEAL repayment patterns and its implications for medical student financing.

BACKGROUND: The current level of Health Education Assistance Loan (HEAL) defaults has exceeded the original estimate, and as such is producing an unforeseen federal expenditure. Predicting repayment patterns of HEAL borrowers is an important step in assessing the impact that this unforeseen expenditure will have on HEAL and other financial aid programs. METHOD: Since prior research on educational lending has not identified a practical model for predicting repayment patterns, the authors turned in 1994 to an alternative discipline, research on consumer lending. Using the multivariate discriminant analysis credit scoring model framework, the authors incorporated operational definitions of the borrower's character, capacity, and capital. To identify factors that are significant in establishing repayment category membership, the framework was applied to a group of 233 HEAL borrowers who graduated from five medical schools in 1988. Because of the small numbers of delinquent borrowers and defaulters, the repayment categories were restricted to repayment, deferment, and forbearance. RESULTS: The level of unsubsidized debt, in conjunction with financial resources (including the potential resource of parental support), may be significant in identifying those HEAL borrowers who may confront repayment difficulty. CONCLUSION: While the results are not surprising, they do lend documented support for a review of financial aid policies at both institutional and governmental levels, and a framework within which this review may be conducted.

Education, Medical, Undergraduate↗