List of Titles

Supporting regional aged care nursing staff to manage residents’ behavioural and psychological symptoms of dementia, in real time, using the nurses’ behavioural assistant (NBA) : A pilot site 'end-user attitudes’ trial

- Klein, Britt, Clinnick, Lisa, Chesler, Jessica, Stranieri, Andrew, Bignold, Adam, Dazeley, Richard, McLaren, Suzanne, Lauder, Sue, Balasubramanian, Venki

Authors: Klein, Britt , Clinnick, Lisa , Chesler, Jessica , Stranieri, Andrew , Bignold, Adam , Dazeley, Richard , McLaren, Suzanne , Lauder, Sue , Balasubramanian, Venki
Date: 2018
Type: Text , Conference paper
Relation: 2017 Global Telehealth Meeting, GT 201; Adelaide, Australia; 22nd-24th November 2017; published in Telehealth for our Ageing Society (part of the Studies in Health Technology and Informatics series) Vol. 246, p. 24-28
Full Text: false
Reviewed:
Description: Background: This regional pilot site ‘end-user attitudes’ study explored nurses’ experiences and impressions of using the Nurses’ Behavioural Assistant (NBA) (a knowledge-based, interactive ehealth system) to assist them to better respond to behavioural and psychological symptoms of dementia (BPSD) and will be reported here. Methods: Focus groups were conducted, followed by a four-week pilot site ‘end-user attitudes’ trial of the NBA at a regional aged care residential facility (ACRF). Brief interviews were conducted with consenting nursing staff. Results: Focus group feedback (N = 10) required only minor cosmetic changes to the NBA prototype. Post pilot site end-user interview data (N = 10) indicated that the regional ACRF nurses were positive and enthusiastic about the NBA, however several issues were also identified. Conclusions: Overall the results supported the utility of the NBA to promote a person centred care approach to managing BPSD. Slight modifications may be required to maximise its uptake across all ACRF nursing staff.

Development of a suicidal ideation detection tool for primary Healthcare settings : Using open access online psychosocial data

- Meyer, Denny, Abbott, Jo-Anne, Rehm, Imogen, Bhar, Sunil, Barak, Azy, Deng, Gary, Wallace, Klaire, Ogden, Edward, Klein, Britt

Authors: Meyer, Denny , Abbott, Jo-Anne , Rehm, Imogen , Bhar, Sunil , Barak, Azy , Deng, Gary , Wallace, Klaire , Ogden, Edward , Klein, Britt
Date: 2017
Type: Text , Journal article
Relation: Telemedicine and e-Health Vol. 23, no. 4 (2017), p. 273-281
Full Text: false
Reviewed:
Description: Background: Suicidal patients often visit healthcare professionals in their last month before suicide, but medical practitioners are unlikely to raise the issue of suicide with patients because of time constraints and uncertainty regarding an appropriate approach. Introduction: A brief tool called the e-PASS Suicidal Ideation Detector (eSID) was developed for medical practitioners to help detect the presence of suicidal ideation (SI) in their clients. If SI is detected, the system alerts medical practitioners to address this issue with a client. The eSID tool was developed due to the absence of an easy-to-use, evidence-based SI detection tool for general practice. Material and Methods: The tool was developed using binary logistic regression analyses of data provided by clients accessing an online psychological assessment function. Ten primary healthcare professionals provided advice regarding the use of the tool. Results: The analysis identified eleven factors in addition to the Kessler-6 for inclusion in the model used to predict the probability of recent SI. The model performed well across gender and age groups 18-64 (AUR 0.834, 95% CI 0.828-0.841, N = 16,703). Healthcare professionals were interviewed; they recommended that the tool be incorporated into existing medical software systems and that additional resources be supplied, tailored to the level of risk identified. Conclusion: The eSID is expected to trigger risk assessments by healthcare professionals when this is necessary. Initial reactions of healthcare professionals to the tool were favorable, but further testing and in situ development are required. © 2017, Mary Ann Liebert, Inc.

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