Using XML and XSLT for flexible elicitation of mental-health risk knowledge

Buckingham, Christopher D.; Ahmed, Abu; Adams, Ann

doi:10.1080/14639230601097895

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…The focus groups resulted in field notes, photographs of participant's mobile phone and transcripts of the interviews. This material was initially collated into a Mindmap [31] (Figure 2) to show key trends in the discussions. These have been categorized under 7 main headings: Personal Profile; Benefits; Security, Privacy and Trust; Adoption; Risks; Acceptance; (use of) Cell Phone.…”

Section: Focus Groupsmentioning

confidence: 99%

End-User Perception Towards Pervasive Cardiac Healthcare Services: Benefits, Acceptance, Adoption, Risks, Security, Privacy and Trust

Dhukaram

Baber

Elloumi

et al. 2011

Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare

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This study examined patient and caregiver's perception regarding pervasive healthcare technology using five focus groups and a 31-item questionnaire. To further develop an understanding of the benefits and functionalities that prospective patients deem as either desirable, undesirable, inadequate or in need of further development the study was categorized under 7 main headings: Personal Profile; Benefits; Adoption; Acceptance; Risks; Security, Privacy and Trust; (use of) Cell Phone. This study was completed as part of the European Union BRAVEHEALTH project, aimed at the support of cardiac patients in everyday life using in vivo monitoring and diagnosis, thereby enabling the patient to be more proactive in heath management. Most participants felt that there is a great future for this technology and showed positive response in regards to the potential benefits but are (at present) not willing to adopt the system due to concerns over reliability, like security, privacy and trust.

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Section: Focus Groupsmentioning

confidence: 99%

End-User Perception Towards Pervasive Cardiac Healthcare Services: Benefits, Acceptance, Adoption, Risks, Security, Privacy and Trust

Dhukaram

Baber

Elloumi

et al. 2011

Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare

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“…GRiST was developed as a web‐based decision support system for risk assessment that links mental health expertise to a database of patient cues for mathematical analysis, thus integrating structured clinical judgement with empirical evidence. At the time of this study, the evidence base for GRiST lay in the rigorous research process that ensured its structure and content accurately reflected how mental health experts conceptualize risk assessment (Buckingham 2003, 2007, Buckingham et al . 2004, 2007, 2008).…”

Section: Introductionmentioning

confidence: 99%

Examining the relationship between risk assessment and risk management in mental health

Gilbert¹,

Adams²,

Buckingham³

2011

Psychiatric Ment Health Nurs

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Thorough risk assessment helps in developing risk management plans that minimize risks that can impede mental health patients' recovery. Department of Health policy states that risk assessments and risk management plans should be inextricably linked. This paper examines their content and linkage within one Trust. Four inpatient wards for working age adults (18-65 years) in a large mental health Trust in England were included in the study. Completed risk assessment forms, for all patients in each inpatient ward were examined (n= 43), followed by an examination of notes for the same patients. Semi-structured interviews took place with ward nurses (n= 17). Findings show much variability in the amount and detail of risk information collected by nurses, which may be distributed in several places. Gaps in the risk assessment and risk management process are evident, and a disassociation between risk information and risk management plans is often present. Risk information should have a single location so that it can be easily found and updated. Overall, a more integrated approach to risk assessment and management is required, to help patients receive timely and appropriate interventions that can reduce risks such as suicide or harm to others.

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A Multiple Pheromone Ant Clustering Algorithm

Chircop

Buckingham

2014

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)

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Using XML and XSLT for flexible elicitation of mental-health risk knowledge

Abstract: Background: Current tools for assessing risks associated with mental-health

Cited by 9 publications

References 23 publications

End-User Perception Towards Pervasive Cardiac Healthcare Services: Benefits, Acceptance, Adoption, Risks, Security, Privacy and Trust

End-User Perception Towards Pervasive Cardiac Healthcare Services: Benefits, Acceptance, Adoption, Risks, Security, Privacy and Trust

Examining the relationship between risk assessment and risk management in mental health

A Multiple Pheromone Ant Clustering Algorithm

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