scholarly journals Student paramedic anticipation, confidence and fears: Do undergraduate courses prepare student paramedics for the mental health challenges of the profession?

2017 ◽  
Vol 14 (4) ◽  
Author(s):  
Lisa Holmes ◽  
Russell Jones ◽  
Richard Brightwell ◽  
Lynne Cohen
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Skills ◽  
Significant Proportion ◽  
Clinical Decision ◽  
Mental Wellbeing ◽  
Making A Difference ◽  
High Acuity ◽  
Mental Health Challenges

IntroductionThis study explores the preparedness of undergraduate student paramedics for the mental health challenges of the paramedic profession from the perspective of course coordinators and their students. MethodsTwo surveys were developed and administered to course coordinators and students of the 16 undergraduate degree paramedicine courses across Australia and New Zealand. Sixteen course coordinators and 302 students responded. ResultsResults illustrate there was widespread recognition for the need to include preparation for the mental health challenges of the profession within undergraduate courses. Furthermore, most course coordinators and students had a preference for this topic to be taught using multiple teaching modes with particular preference for teaching the topic via discussion and activity based education. Teaching the topic as a standalone unit was supported by more than a third of course coordinators (43%) and a third of students (32%).ConclusionSix themes were identified as positive by anticipants: caring for people, high acuity work, diversity of work and patients, making a difference to patients and their families, using clinical skills and knowledge and engaging with the community. Students were most confident about communicating with patients and using clinical skills and knowledge. Students were least confident about clinical decision making and the most commonly cited fear was making a clinical mistake. A significant proportion of students (16%) feared for their personal mental wellbeing and 14% reported they were least confident about personal mental health within the profession.

scholarly journals Correction to: Using behavioral insights to design implementation strategies in public mental health settings: a qualitative study of clinical decision-making

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Briana S. Last ◽  
Simone H. Schriger ◽  
Carter E. Timon ◽  
Hannah E. Frank ◽  
Alison M. Buttenheim ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Qualitative Study ◽  
Clinical Decision Making ◽  
Public Mental Health ◽  
Implementation Strategies ◽  
Clinical Decision ◽  
Mental Health Settings

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Storytelling, Safeguarding, Treatment, and Responsibility: attributes of recovery in psychiatric intensive care units

2014 ◽  
Vol 11 (02) ◽  
pp. 105-118 ◽  
Author(s):  
Karleen Gwinner ◽  
Louise Ward
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Mental Illness ◽  
Intensive Care ◽  
Lived Experience ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Review Of Literature ◽  
Psychiatric Distress ◽  
Nurse Knowledge

AbstractBackground and aimIn recent years, policy in Australia has endorsed recovery-oriented mental health services underpinned by the needs, rights and values of people with lived experience of mental illness. This paper critically reviews the idea of recovery as understood by nurses at the frontline of services for people experiencing acute psychiatric distress.MethodData gathered from focus groups held with nurses from two hospitals were used to ascertain their use of terminology, understanding of attributes and current practices that support recovery for people experiencing acute psychiatric distress. A review of literature further examined current nurse-based evidence and nurse knowledge of recovery approaches specific to psychiatric intensive care settings.ResultsFour defining attributes of recovery based on nurses’ perspectives are shared to identify and describe strategies that may help underpin recovery specific to psychiatric intensive care settings.ConclusionThe four attributes described in this paper provide a pragmatic framework with which nurses can reinforce their clinical decision-making and negotiate the dynamic and often incongruous challenges they experience to embed recovery-oriented culture in acute psychiatric settings.

scholarly journals Probability and loss: two sides of the risk assessment coin

2011 ◽  
Vol 35 (11) ◽  
pp. 413-418 ◽  
Author(s):  
Matthew M. Large ◽  
Olav B. Nielssen
Keyword(s):  
Mental Health ◽  
Risk Assessment ◽  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
The Other ◽  
Current Form ◽  
Mental Health Settings ◽  
Future Harm ◽  
Two Sides

SummaryRisk assessment has been widely adopted in mental health settings in the hope of preventing harms such as violence to others and suicide. However, risk assessment in its current form is mainly concerned with the probability of adverse events, and does not address the other component of risk – the extent of the resulting loss. Although assessments of the probability of future harm based on actuarial instruments are generally more accurate than the categorisations made by clinicians, actuarial instruments are of little assistance in clinical decision-making because there is no instrument that can estimate the probability of all the harms associated with mental illness, or estimate the extent of the resulting losses. The inability of instruments to distinguish between the risk of common but less serious harms and comparatively rare catastrophic events is a particular limitation of the value of risk categorisations. We should admit that our ability to assess risk is severely limited, and make clinical decisions in a similar way to those in other areas of medicine – by informed consideration of the potential consequences of treatment and non-treatment.

Mental Health Clinical Decision Support Exploiting Big Data

2019 ◽  
pp. 160-184 ◽  
Author(s):  
Jan Kalina
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Clinical Decision Making ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision

The complexity of clinical decision-making is immensely increasing with the advent of big data with a clinical relevance. Clinical decision systems represent useful e-health tools applicable to various tasks within the clinical decision-making process. This chapter is devoted to basic principles of clinical decision support systems and their benefits for healthcare and patient safety. Big data is crucial input for clinical decision support systems and is helpful in the task to find the diagnosis, prognosis, and therapy. Statistical challenges of analyzing big data in psychiatry are overviewed, with a particular interest for psychiatry. Various barriers preventing telemedicine tools from expanding to the field of mental health are discussed. The development of decision support systems is claimed here to play a key role in the development of information-based medicine, particularly in psychiatry. Information technology will be ultimately able to combine various information sources including big data to present and enforce a holistic information-based approach to psychiatric care.

Clinical outcome assessment in mental health

2018 ◽  
pp. 191-200
Author(s):  
Skye P. Barbic ◽  
Stefan J. Cano
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Clinical Outcome ◽  
Outcome Assessment ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Evidence Based ◽  
Measurement Issues ◽  
Health Disorders ◽  
Based Medicine

Clinical outcome assessment (COA) in mental health is essential to inform patient-centred care and clinical decision-making. In this chapter, the reader is introduced to COA as it is evolving in the field of mental health. Multiple approaches to COA are presented, but emphasis is placed on approaches that generate clinically meaningful data. Understanding COA can position clinicians and stakeholders to better evaluate their own practice and to contribute to the ongoing evolution of COA research and evidence-based medicine. This chapter begins with the definitions of assessment and measurement. Conceptual frameworks and models of COA development and testing are then presented. These are followed by a discussion of measurement in practice that reviews measurement issues related to clinical decision-making, programme evaluation, and clinical trials. Finally, this chapter highlights the contribution of metrology to improving health outcomes of individuals who experience mental health disorders.

Values based psychiatry

2011 ◽  
Vol 26 (S2) ◽  
pp. 2128-2128
Author(s):  
B.K.W.M. Fulford
Keyword(s):  
Mental Health ◽  
Clinical Decision Making ◽  
Clinical Skills ◽  
Clinical Decision ◽  
Evidence Based ◽  
Involuntary Treatment ◽  
New Approach ◽  
Health Values ◽  
Potential Partner ◽  
The Uk

Values-based Practice is a new approach to working with complex and conflicting values in medicine. The approach is derived from work in analytic philosophy on the logic of values. As a practical approach, it is based primarily on learnable clinical skills. Values-based Practice has been developed particularly in mental health, through a number of programmes involving both voluntary sector and government organisations in the UK and internationally. Two examples of these programmes will be presented: one related to the use of involuntary treatment in psychiatry; the other arising from a government-sponsored programme on diagnosis and assessment in mental health. Values-based Practice is currently being extended into other areas of medicine as a potential partner to evidence-based practice in clinical decision making

A Clinical Decision-Making Model for Child Psychiatric Intervention Selection

1975 ◽  
Vol 37 (3) ◽  
pp. 923-934 ◽  
Author(s):  
Peter B. Henderson ◽  
Max G. Magnussen ◽  
Barbara B. Snyderman ◽  
Juergen Homann
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Child Mental Health ◽  
Clinical Decision Making ◽  
Mental Health Center ◽  
Clinical Decision ◽  
Urban Child ◽  
Intervention Selection ◽  
Child Psychiatric ◽  
Component Procedure

This paper describes a four-component procedure of clinical decision-making, developed by a group of senior child clinicians in an urban child mental health center. The major goal of the paper is to give readers a basic understanding of the theory underlying the formulation of our disposition-oriented clinical decision-making system, that can be eventually translated into questionnaire format, and made useful and usable in general clinical application. The four-component procedure is described in a step-wise fashion and then linked to clinical dispositional options to be chosen from the clinical services available in a clinic. A child mental health data system will ultimately be developed.

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