Exploring adaptations to the clinical reasoning cycle for forensic mental health nursing : a qualitative enquiry
- Maguire, Tessa, Garvey, Loretta, Ryan, Jo, Levett-Jones, Tracy, Olasoji, Michael, Willetts, Georgina
- Authors: Maguire, Tessa , Garvey, Loretta , Ryan, Jo , Levett-Jones, Tracy , Olasoji, Michael , Willetts, Georgina
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Mental Health Nursing Vol. 32, no. 2 (2023), p. 544-555
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- Description: Forensic mental health nurses (FMHN) provide care to address the needs of people who have mental illnesses across a range of diverse settings. The Clinical Reasoning Cycle (CRC) has been identified as a potential framework to assist FMHNs; however, adaptations were required to reflect the unique nature of the clinical setting. This study aimed to explore adaptations made to determine suitability prior to implementation in practice. Nominal Group Technique was used to explore suggested adaptations determined from a previous study and reach a consensus on the changes. Fourteen senior nurses from a state-wide Forensic mental Health (FMH) service participated. A consensus was reached for two proposed changes. Data were analysed using thematic analysis. Three main themes were interpreted from the data; FMH adaptations are warranted, the focus of the CRC, and who owns the cycle? Nurses in this study considered the need to include offence and risk issues due to the impact these factors have on the therapeutic relationship and cognitive bias; however, they also identified the need to focus on recovery-oriented care while engaging in clinical reasoning. Nurses in this study also expressed some reluctance for nursing to ‘own' the model, due to concern that ownership may cause division among the team or result in inconsistency in care. However, some participant's suggested the CRC with adaptations assisted FMH nurses to articulate their specialist skills and knowledge to others and highlight the nursing contribution to care. Further work is needed to finalize adaptations with a focus on engaging the consumer carer workforce and interdisciplinary team. © 2022 The Authors. International Journal of Mental Health Nursing published by John Wiley & Sons Australia, Ltd.
- Authors: Maguire, Tessa , Garvey, Loretta , Ryan, Jo , Levett-Jones, Tracy , Olasoji, Michael , Willetts, Georgina
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Mental Health Nursing Vol. 32, no. 2 (2023), p. 544-555
- Full Text:
- Reviewed:
- Description: Forensic mental health nurses (FMHN) provide care to address the needs of people who have mental illnesses across a range of diverse settings. The Clinical Reasoning Cycle (CRC) has been identified as a potential framework to assist FMHNs; however, adaptations were required to reflect the unique nature of the clinical setting. This study aimed to explore adaptations made to determine suitability prior to implementation in practice. Nominal Group Technique was used to explore suggested adaptations determined from a previous study and reach a consensus on the changes. Fourteen senior nurses from a state-wide Forensic mental Health (FMH) service participated. A consensus was reached for two proposed changes. Data were analysed using thematic analysis. Three main themes were interpreted from the data; FMH adaptations are warranted, the focus of the CRC, and who owns the cycle? Nurses in this study considered the need to include offence and risk issues due to the impact these factors have on the therapeutic relationship and cognitive bias; however, they also identified the need to focus on recovery-oriented care while engaging in clinical reasoning. Nurses in this study also expressed some reluctance for nursing to ‘own' the model, due to concern that ownership may cause division among the team or result in inconsistency in care. However, some participant's suggested the CRC with adaptations assisted FMH nurses to articulate their specialist skills and knowledge to others and highlight the nursing contribution to care. Further work is needed to finalize adaptations with a focus on engaging the consumer carer workforce and interdisciplinary team. © 2022 The Authors. International Journal of Mental Health Nursing published by John Wiley & Sons Australia, Ltd.
Consumer perspectives on the use of artificial intelligence technology and automation in crisis support services : mixed methods study
- Ma, Jennifer, O’Riordan, Megan, Mazzer, Kelly, Batterham, Philip, Bradford, Sally, Kõlves, Kairi, Titov, Nickolai, Klein, Britt, Rickwood, Debra
- Authors: Ma, Jennifer , O’Riordan, Megan , Mazzer, Kelly , Batterham, Philip , Bradford, Sally , Kõlves, Kairi , Titov, Nickolai , Klein, Britt , Rickwood, Debra
- Date: 2022
- Type: Text , Journal article
- Relation: JMIR Human Factors Vol. 9, no. 3 (2022), p.
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- Description: Background: Emerging technologies, such as artificial intelligence (AI), have the potential to enhance service responsiveness and quality, improve reach to underserved groups, and help address the lack of workforce capacity in health and mental health care. However, little research has been conducted on the acceptability of AI, particularly in mental health and crisis support, and how this may inform the development of responsible and responsive innovation in the area. Objective: This study aims to explore the level of support for the use of technology and automation, such as AI, in Lifeline’s crisis support services in Australia; the likelihood of service use if technology and automation were implemented; the impact of demographic characteristics on the level of support and likelihood of service use; and reasons for not using Lifeline’s crisis support services if technology and automation were implemented in the future. Methods: A mixed methods study involving a computer-assisted telephone interview and a web-based survey was undertaken from 2019 to 2020 to explore expectations and anticipated outcomes of Lifeline’s crisis support services in a nationally representative community sample (n=1300) and a Lifeline help-seeker sample (n=553). Participants were aged between 18 and 93 years. Quantitative descriptive analysis, binary logistic regression models, and qualitative thematic analysis were conducted to address the research objectives. Results: One-third of the community and help-seeker participants did not support the collection of information about service users through technology and automation (ie, via AI), and approximately half of the participants reported that they would be less likely to use the service if automation was introduced. Significant demographic differences were observed between the community and help-seeker samples. Of the demographics, only older age predicted being less likely to endorse technology and automation to tailor Lifeline’s crisis support service and use such services (odds ratio 1.48-1.66, 99% CI 1.03-2.38; P<.001 to P=.005). The most common reason for reluctance, reported by both samples, was that respondents wanted to speak to a real person, assuming that human counselors would be replaced by automated robots or machine services. Conclusions: Although Lifeline plans to always have a real person providing crisis support, help-seekers automatically fear this will not be the case if new technology and automation such as AI are introduced. Consequently, incorporating innovative use of technology to improve help-seeker outcomes in such services will require careful messaging and assurance that the human connection will continue. © Jennifer S Ma, Megan O’Riordan, Kelly Mazzer, Philip J Batterham, Sally Bradford, Kairi Kõlves, Nickolai Titov, Britt Klein, Debra J Rickwood.
- Authors: Ma, Jennifer , O’Riordan, Megan , Mazzer, Kelly , Batterham, Philip , Bradford, Sally , Kõlves, Kairi , Titov, Nickolai , Klein, Britt , Rickwood, Debra
- Date: 2022
- Type: Text , Journal article
- Relation: JMIR Human Factors Vol. 9, no. 3 (2022), p.
- Full Text:
- Reviewed:
- Description: Background: Emerging technologies, such as artificial intelligence (AI), have the potential to enhance service responsiveness and quality, improve reach to underserved groups, and help address the lack of workforce capacity in health and mental health care. However, little research has been conducted on the acceptability of AI, particularly in mental health and crisis support, and how this may inform the development of responsible and responsive innovation in the area. Objective: This study aims to explore the level of support for the use of technology and automation, such as AI, in Lifeline’s crisis support services in Australia; the likelihood of service use if technology and automation were implemented; the impact of demographic characteristics on the level of support and likelihood of service use; and reasons for not using Lifeline’s crisis support services if technology and automation were implemented in the future. Methods: A mixed methods study involving a computer-assisted telephone interview and a web-based survey was undertaken from 2019 to 2020 to explore expectations and anticipated outcomes of Lifeline’s crisis support services in a nationally representative community sample (n=1300) and a Lifeline help-seeker sample (n=553). Participants were aged between 18 and 93 years. Quantitative descriptive analysis, binary logistic regression models, and qualitative thematic analysis were conducted to address the research objectives. Results: One-third of the community and help-seeker participants did not support the collection of information about service users through technology and automation (ie, via AI), and approximately half of the participants reported that they would be less likely to use the service if automation was introduced. Significant demographic differences were observed between the community and help-seeker samples. Of the demographics, only older age predicted being less likely to endorse technology and automation to tailor Lifeline’s crisis support service and use such services (odds ratio 1.48-1.66, 99% CI 1.03-2.38; P<.001 to P=.005). The most common reason for reluctance, reported by both samples, was that respondents wanted to speak to a real person, assuming that human counselors would be replaced by automated robots or machine services. Conclusions: Although Lifeline plans to always have a real person providing crisis support, help-seekers automatically fear this will not be the case if new technology and automation such as AI are introduced. Consequently, incorporating innovative use of technology to improve help-seeker outcomes in such services will require careful messaging and assurance that the human connection will continue. © Jennifer S Ma, Megan O’Riordan, Kelly Mazzer, Philip J Batterham, Sally Bradford, Kairi Kõlves, Nickolai Titov, Britt Klein, Debra J Rickwood.
- Van Doorn, George, Miloyan, Beyon
- Authors: Van Doorn, George , Miloyan, Beyon
- Date: 2018
- Type: Text , Journal article , Review
- Relation: Food Quality and Preference Vol. 65, no. (2018), p. 194-197
- Full Text: false
- Reviewed:
- Description: The Pepsi Paradox refers to the observation that Pepsi is preferred to Coke in blind taste tests, despite Coke being regarded as the more successful brand. We begin by describing the origins of the Pepsi Paradox. We then outline a neural hypothesis for why it occurs. Next, we carefully assess the published behavioural studies related to the Pepsi Paradox, and on people's ability to distinguish colas by taste. We conclude that the existing research has failed to provide sufficient evidence for the existence of the Pepsi Paradox. In fact, there does not even seem to be a consistent taste preference for either beverage in the reviewed studies.
- Shandley, Kerrie, Austin, David, Klein, Britt, Kyrios, Michael
- Authors: Shandley, Kerrie , Austin, David , Klein, Britt , Kyrios, Michael
- Date: 2010
- Type: Text , Journal article
- Relation: Health Education Research Vol. 25, no. 4 (2010), p. 563-574
- Full Text: false
- Reviewed:
- Description: The objective of this study was to conduct an evaluation of Reach Out Central (ROC), an online gaming program designed to support the mental health of people aged 16-25. The evaluation sought to determine the benefit of playing ROC on alcohol use, use of coping strategies, psychological distress, resilience and satisfaction with life. Changes in mental health literacy, mental health stigma and willingness to seek help and program satisfaction were also investigated. A single group (N=266) quasi-experimental repeated measures (pre-, post-program, 2-month follow-up) design was employed. The results demonstrated positive improvements across all outcome measures for females; however, a non-significant worsening effect was observed for males on seeking support, avoidance and resilience. Improvements for both genders were observed on mental health literacy and help-seeking. However, literacy levels and help-seeking were significantly higher, and stigma significantly lower for females. Program satisfaction ratings were high irrespective of gender. Although some inconsistencies between genders were noted, ROC appears to enhance protective factors for the prevention or early intervention of mental health disorders. The results of this study need to be viewed with its limitations in mind, specifically, the use of an open trial methodology and the small number of male participants. © The Author 2009. Published by Oxford University Press. All rights reserved.
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