Do Racial Stereotypes Contribute to Medical Misdiagnosis of Child Abuse?

2020 ◽  
Vol 1 (2) ◽  
pp. 153-180
Author(s):  
Cynthia J. Najdowski ◽  
Kimberly M. Bernstein ◽  
Katherine S. Wahrer

Despite growing recognition that misdiagnoses of child abuse can lead to wrongful convictions, little empirical work has examined how the medical community may contribute to these errors. Previous research has documented the existence and content of stereotypes that associate race with child abuse. The current study examines whether emergency medical professionals rely on this stereotype to fill in gaps in ambiguous cases involving Black children, thereby increasing the potential for misdiagnoses of child abuse. Specifically, we tested whether the race-abuse stereotype led participants to attend to more abuse-related details than infection-related details when an infant patient was Black versus White. We also tested whether this heuristic decision-making would be affected by contextual case facts; specifically, we examined whether race bias would be exacerbated or mitigated by a family’s involvement with child protective services (CPS). Results showed that participants did exhibit some biased information processing in response to the experimental manipulations. Even so, the race-abuse stereotype and heuristic decision-making did not cause participants to diagnose a Black infant patient with abuse more often than a White infant patient, regardless of his family’s involvement with CPS. These findings help illuminate how race may lead to different outcomes in cases of potential child abuse, while also demonstrating potential pathways through which racial disparities in misdiagnosis of abuse and subsequent wrongful convictions can be prevented.

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.


PEDIATRICS ◽  
1990 ◽  
Vol 86 (5) ◽  
pp. 805-806
Author(s):  
ALLAN R. DE JONG ◽  
MIMI ROSE

In Reply.— We thank Dr Smith for his interesting perspective regarding screening for child abuse. We had hoped our article would help physicians focus on the verbal evidence of abuse and show how insensitive the physical evidence is in predicting which child had been abused sexually. To apply the principles of sensitivity and specificity to the assessment of child abuse or sexual abuse, we must have a gold standard which characterizes these problems. Neither a child protective services decision nor a legal determination of "no proven abuse" can be used as a gold standard, unless we can accept a "gold standard" made of iron pyrite.


2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Heather T. Keenan ◽  
Kristine A. Campbell ◽  
Kent Page ◽  
Lawrence J. Cook ◽  
Tyler Bardsley ◽  
...  

2012 ◽  
Vol 25 (2) ◽  
pp. 359-391
Author(s):  
Noam Gur

Contemporary legal philosophers commonly understand the normative force of law in terms of practical reason. They sharply disagree, however, on how exactly it translates into practical reason. Notably, some have argued that the directives of an authority that meets certain prerequisites of legitimacy generate reasons for action that exclude some otherwise applicable reasons, while others have insisted that such directives can only give rise to reasons that compete with opposing ones in terms of their weight (an approach I will call the weighing model). Does the weighing model provide a normative framework within which law could adequately facilitate correct decision-making? At first glance, the answer appears to be ‘yes’: there seems to be nothing about law-following values—such as coordination reasons, the desirability of social order, deferential expertise, etc.—which prevents them from being factored into our decision-making in terms of normative weight that tips the balance in favor of compliance with law inasmuch as it is worthwhile to comply with it. This impression, however, turns out to be incorrect when, drawing on a body of empirical work in psychology, I observe that many of the practical difficulties law typically addresses are difficulties that have part of their root in biases to which we are systematically susceptible in the settings of our daily activity. I argue that the frequent presence of those biases in contexts of activity which law regulates, and the pivotal role law has in counteracting them, emphatically militate against the weighing model and call for its rejection.


2015 ◽  
Vol 33 ◽  
pp. 61-67 ◽  
Author(s):  
Stephanie L. Stauffer ◽  
Stephanie M. Wood ◽  
Matthew D. Krasowski

2019 ◽  
Author(s):  
Frederick Callaway ◽  
Antonio Rangel ◽  
Tom Griffiths

When faced with a decision between several options, people rarely fully consider every alternative. Instead, we direct our attention to the most promising candidates, focusing our limited cognitive resources on evaluating the options that we are most likely to choose. A growing body of empirical work has shown that attention plays an important role in human decision making, but it is still unclear how people choose with option to attend to at each moment in the decision making process. In this paper, we present an analysis of how a rational decision maker should allocate her attention. We cast attention allocation in decision making as a sequential sampling problem, in which the decision maker iteratively selects from which distribution to sample in order to update her beliefs about the values of the available alternatives. By approximating the optimal solution to this problem, we derive a model in which both the selection and integration of evidence are rational. This model predicts choices and reaction times, as well as sequences of visual fixations. Applying the model to a ternary-choice dataset, we find that its predictions align well with human data.


1985 ◽  
Vol 9 (4) ◽  
pp. 3-6 ◽  
Author(s):  
Barbara J. Meddin

AbstractThe paper examines the impact that a decision making model can have on child placement decisions. Using a pre and post test design with three different conditions, the research investigated the ability to increase the consistency of the placement decision by the use of a decision making model that includes explicit criteria.The study found that consistency of decision making was enhanced by the provision of the decision making model and that consistency could be further enhanced by the provision of training in the model. Implications for training of new workers and reduction of worker stress and burnout are discussed.The incident of child abuse and neglect continues to rise. The National Centre on Child Abuse and Neglect estimates that approximately one million children will be abused or neglected this year in the United States. In the State of Illinois alone, during fiscal year 1981 nearly 80,000 reports of abuse or neglect were received. Almost 50% of those reports were found to be actual cases of abuse or neglect.Whether the incident in Australia of child abuse and neglect is increasing or not is difficult to assess, since currently there is no standardised way of collecting data. However, from all indicators a similar increase is indeed occurring. Boss in his book, “On the Side of the Child”, reports that the number of cases seen by the Western Australian Department of Community Welfare has steadily increased. This is corroborated by statistics compiled by that State’s Advisory and Consultative Committee in Child Abuse (ACCCA). Their Statistical Information Report for July-December 1983 indicates an 86% increase in reports of sexual abuse and 12.5% increase in physical abuse. In Queensland the number of child abuse and/or neglect case investigations went from 1 095 in 1981 to 1 631 in 1982 – an increase of more than one third. In Tasmania between 1980 to 1982 the number of reports increased by nearly one-third, from 228-302. The Montrose Child Protection and Family Crisis Unit of the Department of Youth and Community Services in New South Wales report similar increases.On almost a daily basis, social workers are called upon to make far reaching decisions that have the potential to be a life consequential both for the child who is the victim of abuse and/or neglect and that child’s family. Because these decisions, especially the placement decision, have such great ramifications, social workers should be expected to make decisions with great care, consideration and consistency. This may be due, in part because agencies have been slow to explicate, empirically validate, and systematically apply decision making criteria that assist workers in making case decisions.While research indicates that criteria do exist and are used by child welfare workers, the research also indicates that they are not used in any systematic fashion. The result is that idiosyncratic decisions are invited and the potential spectre of gross inequities in the delivery of social services exists. Unless asystematic, consensually based decision making model is used that explicates both the decisions that need to be made along with a specific set of criteria for making these decisions, it is impossible for the child welfare agency to guarantee a minimum level of service delivery.


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