Does the Child Health Computing System adequately identify children with cerebral palsy?

Background This paper assesses the usefulness of the Child Health Computing System as a source of information about children with cerebral palsy.

Methods A comparative survey of information held on the Child Health Computing System (CHCS) and the Northern Ireland Cerebral Palsy Register (NICPR) in one Health and Social Services Board in Northern Ireland was carried out. The sample comprised children with cerebral palsy aged 5–9 years.

Results Of the 135 cases recorded on the NICPR, 47 per cent were not found on the CHCS; the majority of these children had no computer record of any medical diagnosis. Of the 82 cases recorded on the CHCS, 10(12 per cent) were not found on the NICPR; five of these cases (6 per cent) were found on follow–up not to have CP.

Conclusions Unless improvements are made in case ascertainment, case validation and recording activities, the evidence suggests that the CHCS will not be able to provide the same quality of information for needs assessment and surveillance of very low birthweight infants in relation to cerebral palsy as is provided by a specialist case register.

The causal attributions of nursing students towards adolescent survivors of brain injury

Background: The hidden nature of brain injury means that it is often difficult for people to understand the sometimes challenging behaviors that individuals exhibit. The misattribution of these behaviors may lead to a lack of consideration and public censure if the individual is seen as simply misbehaving.

Objective: The aim of this study was to explore the impact of visual cues indicating the presence or absence of brain injury on prejudice, desire for social interaction, and causal attributions of nursing and computing science students.

Method: An independent-groups design was employed in this research, which recruited 190 first-year nursing students and 194 first-year computing science students from a major university in Belfast, UK. A short passage describing an adolescent’s behavior after a brain injury, together with one of three images portraying a young adolescent with a scar, a head dressing, or neither of these, was given to participants. They were then asked to answer questions relating to prejudice, social interaction, locus of control, and causal attributions. The attributional statements suggested that the character’s behavior could be the result of brain injury or adolescence.

Results: Analysis of variance demonstrated a statistically significant difference between the student groups, where nursing students (M = 45.17, SD = 4.69) desired more social interaction with the fictional adolescent than their computer science peers (M = 38.64, SD = 7.69). Further, analysis of variance showed a main effect of image on the attributional statement that described adolescence as a suitable explanation for the character’s lack of self-confidence.

Discussion: Attributions of brain injury were influenced by the presence of a visible but potentially specious indicator of injury. This suggests that survivors of brain injury who do not display any outward indicator may receive less care and face expectations to behave in a manner consistent with the norms of society. If their injury does not allow them to meet with these expectations, they may face public censure and discrimination.

The good our field can hope to do, the harm it should avoid

This paper tries to achieve a balanced view of the ethical issues raised by emotion-oriented technology as it is, rather than as it might be imagined. A high proportion of applications seem ethically neutral. Uses in entertainment and allied areas do no great harm or good. Empowering professions may do either, but regulatory systems already exist. Ethically positive aspirations involve mitigating problems that already exist by supporting humans in emotion-related judgments, by replacing technology that treats people in dehumanized and/or demeaning ways, and by improving access for groups who struggle with existing interfaces. Emotion-oriented computing may also contribute to revaluing human faculties other than pure intellect. Many potential negatives apply to technology as a whole. Concerns specifically related to emotion involve creating a lie, by simulate emotions that the systems do not have, or promoting mechanistic conceptions of emotion. Intermediate issues arise where more general problems could be exacerbated-helping systems to sway human choices or encouraging humans to choose virtual worlds rather than reality. "SIIF" systems (semi-intelligent information filters) are particularly problematic. These use simplified rules to make judgments about people that are complex, and have potentially serious consequences. The picture is one of balances to recognize and negotiate, not uniform good or evil. © 2010-2012 IEEE.