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At least 19 recordsLinked to original sources

Factors affecting the probability of first year medical student dropout in the UK: a logistic analysis for the intake cohorts of 1980-92.

BACKGROUND: In the context of the 1997 Report of the Medical Workforce Standing Advisory Committee, it is important that we develop an understanding of the factors influencing medical school retention rates. AIMS: To analyse the determinants of the probability that an individual medical student will drop out of medical school during their first year of study. METHOD: Binomial and multinomial logistic regression analysis of individual-level administrative data on 51 810 students in 21 medical schools in the UK for the intake cohorts of 1980-92 was performed. RESULTS: The overall average first year dropout rate over the period 1980-92 was calculated to be 3.8%. We found that the probability that a student would drop out of medical school during their first year of study was influenced significantly by both the subjects studied at A-level and by the scores achieved. For example, achieving 1 grade higher in biology, chemistry or physics reduced the dropout probability by 0.38% points, equivalent to a fall of 10%. We also found that males were about 8% more likely to drop out than females. The medical school attended also had a significant effect on the estimated dropout probability. Indicators of both the social class and the previous school background of the student were largely insignificant. CONCLUSIONS: Policies aimed at increasing the size of the medical student intake in the UK and of widening access to students from non-traditional backgrounds should be informed by evidence that student dropout probabilities are sensitive to measures of A-level attainment, such as subject studied and scores achieved. If traditional entry requirements or standards are relaxed, then this is likely to have detrimental effects on medical schools' retention rates unless accompanied by appropriate measures such as focussed student support.

Adult↗

Health risk behaviors of Texas students attending dropout prevention/recovery schools in 1997.

This study determined prevalence of health risk behaviors of 9th through 12th grade students attending dropout prevention/recovery alternative schools in Texas in 1997. Participants were 470 youth whose health risk behaviors were assessed using the Youth Risk Behavior Survey in an anonymous, self-administered format. Behaviors measured included frequency of weapon-carrying and fighting, suicide-related behaviors, substance use, and sexual behaviors. A substantial percentage of alternative school students reported participating in behaviors that placed them at acute or chronic health risk. Differences in the prevalence of risk behaviors were noted by gender, racial/ethnic, and age subgroups. In addition, alternative school students frequently engaged in multiple risk behaviors. These findings suggest a need for comprehensive school-based health education/intervention programs to reduce the prevalence of risk behaviors in populations of alternative school students.

Adolescent↗

AIDS-related knowledge, attitudes, and behavior: a comparison of Dutch students and dropouts.

School dropouts are considered an important target group for AIDS prevention. They are expected to be less knowledgeable about AIDS and to show a higher degree of risky behavior as compared with their school-attending peers. Several small-scale studies among specific groups of dropouts seem to confirm such expectations. However, due to differences in methodology, it is often difficult to compare the results of such studies with findings for youths who have not dropped out of school. The present study sought to remedy this by examining AIDS-related knowledge, attitudes, and behavior among comparable samples of Dutch secondary school students and dropouts (excluding homeless and drug-addicted adolescents). The two groups were compared with regard to knowledge about AIDS prevention, attitude toward condom use, intention to use condoms, sexual history, and condom use. Contrary to expectations, few differences were found. It was concluded that, in most respects, dropouts are similar to those who have remained in school.

Acquired Immunodeficiency Syndrome↗

Trends in drug use among American Indian students and dropouts, 1975 to 1994.

OBJECTIVES: This 20-year surveillance project tracks the trends in substance abuse among American Indian students and examines the observed patterns to discover implications for prevention and treatment. The current phase of this work includes data on drug use among Indian school dropouts. METHODS: Anonymous drug use surveys are administered annually to a nationally representative sample of 7th- to 12th-grade Indian youths residing on or near reservations. An adjustment for dropouts is made to provide estimates for the entire age cohort. RESULTS: Indian youth continue to show very high rates of drug use compared with their non-Indian peers. The trends in rates during the last 20 years parallel those of non-Indian youth. While overall drug use may be decreasing, about 20% of Indian adolescents continue to be heavily involved with drugs, a proportion that has not changed since 1980. Adjustment for school dropouts increases the estimate for the entire age cohort. CONCLUSIONS: Indian youth, particularly school dropouts, remain at high risk for drug use. The similarity to trends for non-Indians indicates that prevention strategies effective with other youth can be effective with this population.

Adolescent↗

Predicting student attrition in a baccalaureate curriculum.

A longitudinal study of enrollment data of the Universtiy of Wisconsin--Madison School of Nursing identified several trends in student attrition over a six-year period and formed the basis for the development of a model to predict student attrition. The model proposed to satisfy the need for more precise measures of probable student retention and attrition for counseling and planning purposes in the school's new curriculum. To arrive at a means for predicting student attrition, scores of random samples of continuing and dropout student on achievement, learning style, and psychologial variables obtained during the first three years of the new curriculum were examined using a discriminant analysis technique. A significant differentiation between continuing and dropout students (p less than .000) resulted and allowed a predictive function to be developed. Using a conservative method of identification with student scores transformed by this function, predictions of successful and nonsuccessful students were obtained.

Curriculum↗