Positive risk management: Staff perspectives in acute mental health inpatient settings

Just, Daniela; Palmier‐Claus, Jasper; Tai, Sara

doi:10.1111/jan.14752

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…However, in our study the challenge of this 'medical model' framework seemed to hinder active clinical decision-making and acted as a barrier to positive risk taking, particularly for patients deemed 'risky'. This aligns strongly with some recent literature, which has explored the implementation of, and barriers to, positive risk management in acute mental health settings (Just et al 2021).…”

Section: Discussionsupporting

confidence: 86%

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Contemporary perceptions and meanings of ‘the medical model’ amongst NHS mental health inpatient clinicians

Barnes

Haghiran

Tracy

2022

Int J Mental Health Nurs

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Debates within health care and public spheres have, at times, created a seeming 'divide' between biological and psychosocial determinants and management of mental health difficulties. The phrase 'medical model' is often held up as an example and is sometimes used pejoratively to infer over-reliance on biology and medication. Our objective was to explore inpatient mental health clinicians' perceptions of the definition and the application of a 'medical model' in contemporary mental health care. In this qualitative study, eighteen clinicians working in adult inpatient teams participated in three mixed focus groups. Data were analysed using framework analysis. Three core themes were identified: (i) power of a 'medical model' and authority of the medic; (ii) responsibility within, and reliance on, a 'medical model'; and (iii) integrated models of contemporary mental health care. Subthemes arose around organisational culture and low resources affecting the power of a 'medical model' and the value of multidisciplinary and person-centred approaches. The findings highlight the importance of recognising inter-professional dynamics and power gradients in mental health teams and organisations, as we begin to move towards more integrated models of collaboration and distributed leadership within the NHS.

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Section: Discussionsupporting

confidence: 86%

“…This aligns strongly with some recent literature, which has explored the implementation of, and barriers to, positive risk management in acute mental health settings (Just et al . 2021).…”

Section: Discussionmentioning

confidence: 99%

Contemporary perceptions and meanings of ‘the medical model’ amongst NHS mental health inpatient clinicians

Barnes

Haghiran

Tracy

2022

Int J Mental Health Nurs

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“…If medical and nursing sta lack a grasp of risk factors during nursing care, then they cannot predict the occurrence of risk events in time, or if the department lacks anticipatory care measures after the occurrence of risks, they may cause certain physical damage to patients and certain economic losses to the hospital. NRM is the process of identifying and evaluating the risks of possible harm to patients and caregivers and visitors in an organized and systematic way in hospitals and taking effective preventive measures [4][5][6][7][8]. In order to reduce the occurrence of nursing adverse events and medical disputes, nursing staff must pay attention to risk management in nursing work, and carefully find and eliminate safety hazards to guarantee the medical safety of patients as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Application of Data Mining Technology-Based Nursing Risk Management in Emergency Department Care

Han

Wang²,

Gao

2022

Mathematical Problems in Engineering

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Nursing risk refers to all unsafe events that may occur in clinical nursing work. Common risk events include bed fall, fall, scald, line dislodgement, drug extravasation, and drug administration error, which easily lead to nursing-patient disputes and seriously affect the prognosis of patients. In order to effectively avoid nursing risks, strengthening nursing risk management (NRM), improving nursing management mechanism, and improving nursing operation process have become effective ways to manage risks. The emergency department is an important window for rescuing critically ill patients in the hospital, and it is also the main department where diagnosis, nursing risk events, and medical disputes occur. The traditional risk care model has failed to meet the current demand for emergency patient management, and a more scientific and standardized management scheme is urgently needed. In order to improve the quality of NRM in emergency departments and combine the advantages and characteristics of big data-related technologies, this paper proposes an algorithm based on data mining for application in emergency care. The application of data mining in medical care is summarized and combined with the work content and requirements of hospital emergency care, and the application of big data in patient condition monitoring and early warning, medical and nursing staff scheduling, and patient emotional reassurance is discussed, and then, a solution for hospitals to optimize emergency care using data mining is proposed for the special characteristics of emergency care. Initially, the optimized solution is proposed to improve the efficiency and accuracy of patient condition monitoring and early warning, to improve the real-time scheduling of medical and nursing staff, and to solve medical care problems such as patient emotional calming. The analysis shows that the application of big data in emergency care can improve the efficiency of emergency ambulance, improve the doctor-patient relationship, and promote the development of emergency care.

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“…Braun and Clarke (2022) argue that, if done correctly, the creative process of analysing the data and identifying themes should be considered a strength of this method. RTA has been applied in several research areas including health research (e.g., Campbell et al, 2021;Just et al, 2021), to explore the psychological needs of individuals (e.g., Dendle et al, 2022) and well-being (e.g., Remskar et al, 2022). RTA is an iterative process and time-consuming; thus, it requires the researcher to go back and forth to the data and interpret findings that can be clearly understood by the readers and have a practical application in some context (Campbell et al, 2021).…”

Section: Data Analysis: Using Reflexive Thematic Analysis (Rta) Approachmentioning

confidence: 99%

Understanding Tertiary International Students’ Psychological Well-Being

Singh

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When international tertiary students move to a foreign country to study, they undergo a significant cross-cultural transition and face specific challenges that can impact their Psychological Well-Being (PWB). Previous studies have primarily focused on examining overall adjustment experiences among tertiary international students or their acculturation to a new country. Many of these studies have relied on quantitative measures to determine the prevalence of issues and their impact on PWB. However, there is a scarcity of research that investigates tertiary international students' perspectives on their own PWB and how they think various factors influence it. Furthermore, existing studies have predominantly employed either individual or ecological approaches to explore PWB and have not taken an integrated approach that considers both individual factors and environmental and ecological systems and how they may interact.This descriptive qualitative study sought to understand a range of individual, social, and cultural factors tertiary international students perceived to be stressful or supportive of their PWB. Participants were 25 tertiary international students from diverse ethnicities who were enrolled in four tertiary institutions in a large city in Aotearoa/New Zealand. Participants completed ecomap drawings and interviews and semi-structured individual interviews. Reflexive thematic analysis (RTA) was used to analyse the data and the findings were discussed using Ryff’s (1989) six-dimensional model of PWB. The key themes were: a) first adjustments in Aotearoa/New Zealand, b) meaningful relationships in life, c) navigating cultural differences, d) the role of the institution, and e) taking care of one's own mental health.The analysis showed participants faced initial challenges because of a cross-cultural transition which impacted all six dimensions of their PWB. They struggled with social and cultural challenges, and these strongly impacted their PWB. Participants shared how the institution's support services, and their personal capabilities had a positive or negative impact on their PWB.The findings were discussed in relation to previous literature on PWB and an integrated model of PWB based on Ryff’s (1989) six dimensions of PWB and the Spanning Systems Model (Garton et al., 2021). The overarching key themes discussed were: a) acculturation stress: the role of realistic vs unrealistic expectations, b) social support mitigates the challenges, c) institution policies and support services that are not responsive, d) navigating through cultural differences, and e) self-care: an important aspect of resiliency.This study highlights how both individual factors and ecological contexts contribute to international students' PWB. Students' experiences and PWB are shaped by their individual capabilities (e.g., using coping strategies) and interactions within the home and host ecological systems, such as their cultural, social, and institutional environments. Recommendations are made for improving students' PWB that are based on shared responsibility between institutions and students and the student's own perspectives.

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Positive risk management: Staff perspectives in acute mental health inpatient settings

Cited by 6 publications

References 35 publications

Contemporary perceptions and meanings of ‘the medical model’ amongst NHS mental health inpatient clinicians

Contemporary perceptions and meanings of ‘the medical model’ amongst NHS mental health inpatient clinicians

Application of Data Mining Technology-Based Nursing Risk Management in Emergency Department Care

Understanding Tertiary International Students’ Psychological Well-Being

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