Informed consent for research on stored blood and tissue samples: a survey of institutional review board practices

Numerous position papers have outlined informed consent recommendations for the collection, storage, and future use of biological samples; however, there currently is no consensus regarding what kinds of information should be included in consent forms. This study aimed to determine whether institutional review boards (IRBs) vary in their informed consent requirements for research on stored biological samples, and whether any variation observed could be correlated to factors such as volume of work, IRB members' familiarity with ethical issues in genetic research, and IRBs' use of either of two policy guidelines as resources. A brief survey was mailed to all IRB chairpersons on a mailing list obtained from the Office for Human Research Protections. Survey questions included whether consent forms for the collection of biological samples for future use address each of six provisions recommended in current guidelines and position statements, and whether IRBs used the Office for Protection from Research Risks' 1993 Protecting Human Research Subjects: Institutional Review Board Guidebook, chapter 5 (hereinafter IRB Guidebook) or the National Bioethics Advisory Commission's 1999 Research Involving Human Biological Materials: Ethical Issues and Policy Guidance, Volume I (hereinafter Report) in their deliberations. Despite a low response rate (22%, 427 respondents), results indicate that IRB practices vary substantially. The degree to which the provisions were included in consent forms was found to correlate positively with IRBs that review a greater volume of protocols annually, those that use the National Bioethics Advisory Commission Report in their deliberations, and those that draw on both the Report and the IRB Guidebook.     

Affirmative Reaction: The Influence of Type of Justification on Nonbeneficiary Attitudes Toward Affirmative Action Plans in Higher Education

It is popularly believed that justifying an affirmative action plan (AAP) through emphasizing the advantages that diverse students can bring to a college campus will increase nonbeneficiary support for the program. However, there has been little empirical support for this proposition, perhaps because previous research has not directly articulated to participants the value of a diverse student body. As such, the current study sought to determine how the explicit framing of an AAP influences subsequent reactions. Both quantitative and qualitative data from 216 White undergraduate participants revealed that the utilitarianism justification that highlighted the benefits of the AAP to both minority and majority students, was the most effective means of increasing support for the plan.     

Facilitating Difficult Discussions: Processing the September 11 Attacks in Undergraduate Classrooms

College and university educators have a unique and appropriate forum in which to address social issues, the classroom environment. On September 11, 2001, this opportunity became very real. With it came the challenge of facilitating classroom discussions that include myriad views and feelings. Instruction on conducting difficult discussions in a productive, versus destructive, manner is not commonly included in graduate training, leaving many educators without the tools of effective facilitation. An overview of some of the literature on conducting difficult discussions is presented and applied to classroom discussions of the September 11 events. Recommendations on the process component of facilitating are provided, as well as a rationale for why faculty may want to accept this educational challenge.     

Exclusion and vulnerability on public transit: experiences of transit dependent riders in Portland,Oregon

In urban areas, the inequitable distribution of transit systems and services has been shown to reproduce safety and environmental risks – potentially exacerbating preexisting inequities. Thus, how vulnerable populations access and utilize public transportation is of critical concern to urban scholars. This paper utilizes focus group data to explore how transit-dependent (particularly low-income) riders engage with the public transit system in Portland, Oregon. We illustrate specific ways in which transit-dependent riders experience marginalization and exclusion. We find that certain groups, particularly mothers with young children and those with disabilities are not well served by a public infrastructure oriented toward an ‘ideal rider’ who is an economically stable, able-bodied, white, male commuter. We conclude that a public infrastructure meant to serve all riders equitably, yet which fails to consider the unique experiences of marginalized transit users risks further amplifying existing social vulnerabilities and reinforcing gender, racial, and class inequalities.     

Imputation Match Bias in Immigrant Wage Convergence

Although immigrants to the United States earn less at entry than their native-born counterparts, an extensive literature has found that immigrants have faster earnings growth that results in rapid convergence to native-born earnings. However, recent evidence based on U.S. Census data indicates a slowdown in the rate of earnings assimilation. We find that the pace of immigrant wage convergence based on recent data may be understated in the literature as a result of the method used by the census to impute missing information on earnings, which does not use immigration status as a match characteristic. Because both the share of immigrants in the workforce and earnings imputation rates have risen over time, imputation match bias for recent immigrants is more consequential than in earlier periods and may lead to an underestimate of the rate of immigrant wage convergence.     

Using Discrete-Time Event History Fertility Models to Simulate Total Fertility Rates and Other Fertility Measures

Event history models, also known as hazard models, are commonly used in analyses of fertility. One drawback of event history models is that the conditional probabilities (hazards) estimated by event history models do not readily translate into summary measures, particularly for models of repeatable events, like childbirth. In this paper, we describe how to translate the results of discrete-time event history models of all births into well-known summary fertility measures: simulated age- and parity-specific fertility rates, parity progression ratios, and the total fertility rate. The method incorporates all birth intervals, but permits the hazard functions to vary across parities. It can also simulate values for groups defined by both fixed and time-varying covariates, such as marital or employment life histories. We demonstrate the method using an example from the National Survey of Family Growth and provide an accompanying data file and Stata program.