Multidisciplinary consensus of best practice for pro re nata (PRN) psychotropic medications within acute mental health settings: a Delphi study

2007 ◽  
Vol 14 (5) ◽  
pp. 478-484 ◽  
Author(s):  
J. A. BAKER ◽  
K. LOVELL ◽  
N. HARRIS ◽  
M. CAMPBELL
2014 ◽  
Vol 9 (2) ◽  
pp. 101-108
Author(s):  
Brodie Paterson ◽  
Kevin McKenna ◽  
Vaughan Bowie

Purpose – The purpose of this paper is to present the results of a Delphi study of trainers in the prevention and safer management of violence in mental health settings that sought to identify and clarify what represents best practice at a European level. Design/methodology/approach – A Delphi method was used to garner the views of a sample of 54 trainers involved in the training of managing violence and aggression on a draft charter of best practice. Findings – A high level of agreement was found with the suggested indicators of best practice but the levels of agreement varied in some key areas and respondents identified a series of omissions from the charter and a number of potential challenges to its implementation. Research limitations/implications – The sample was restricted to Europe and further research is planned to seek the views of a wider sample. Practical implications – The charter will provide a reference document for best practice in the interim. Social implications – Its implementation will require trainers to consciously identify the ethical implications not just of the content of their training buts its overall approach. Originality/value – The study is presently unique in its focus and context but further research in this area is underway designed to complement this study.


2020 ◽  
Vol 9 (2) ◽  
pp. 82-90
Author(s):  
Matthew J. Pesko

Anxiety disorders are commonly experienced by college and university students and should be routinely assessed in mental health settings. Epidemiological studies suggest that the burden of these illnesses has greatly expanded even over the past decade. Factors that contribute to the experience of an anxiety disorder in a young adult student population are considered herein. The best practice for evaluation and treatment of these disorders is presented based on the review of available literature in this field. Special attention is paid to the concept of resilience as it pertains to anxiety disorders in the student population.


2021 ◽  
Vol 12 ◽  
Author(s):  
Natasha Tyler ◽  
Claire Planner ◽  
Matthew Byrne ◽  
Thomas Blakeman ◽  
Richard N. Keers ◽  
...  

Background: Discharge from acute mental health inpatient units is often a vulnerable period for patients. Multiple professionals and agencies are involved and processes and procedures are not standardized, often resulting in communication delays and co-ordination failures. Early and appropriate discharge planning and standardization of procedures could make inpatient care safer.Aim: To inform the development of a multi-component best practice guidance for discharge planning (including the 6 component SAFER patient flow bundle) to support safer patient transition from mental health hospitals to the community.Methods: Using the RAND/UCLA Appropriateness method, a panel of 10 professional stakeholders (psychiatrists, psychiatric nurses, clinical psychologists, pharmacists, academics, and policy makers) rated evidence-based statements. Six hundred and sixty-eight statements corresponding to 10 potential components of discharge planning best practice were rated on a 9-point integer scale for clarity, appropriateness and feasibility (median ≥ 7–9) using an online questionnaire then remote online face-to-face meetings.Results: Five of the six “SAFER” patient flow bundle components were appropriate and feasible for inpatient mental health. One component, “Early Flow,” was rated inappropriate as mental health settings require more flexibility. Overall, 285 statements were rated as appropriate and feasible. Forty-four statements were considered appropriate but not feasible to implement.Discussion: This consensus study has identified components of a best practice guidance/intervention for discharge planning for UK mental health settings. Although some components describe processes that already happen in everyday clinical interactions (i.e., review by a senior clinician), standardizing such processes could have important safety benefits alongside a tailored and timely approach to post-discharge care.


2020 ◽  
pp. 1-7
Author(s):  
Lois Carey ◽  
Stephen Barlow

Aims and Method The purpose of this review was to establish whether the prescription of antipsychotic medication in HMP Low Newton was safe, rational and consistent with current best practice. A search of the electronic healthcare records was performed on 14 March 2018 to identify all the women in the prison who were prescribed antipsychotic medication, and then data were collected from the records. Results A total of 46 out of 336 prisoners (13.7%) had been prescribed antipsychotic medications; 29 of the 46 patients (84.8%) were also prescribed other psychotropic medications at the same time. Quetiapine was the most frequently prescribed antipsychotic and was also the most likely to be prescribed for off-label indications. Less than one-third of all antipsychotic prescriptions were for psychotic disorders. Clinical implications The rationale for prescribing all antipsychotic medication, especially for off-label indications, should be clearly documented and reviewed regularly within the prison by the mental health team and psychiatrist.


2021 ◽  
Author(s):  
E.J. Kirkham ◽  
C.J. Crompton ◽  
M.H. Iveson ◽  
I. Beange ◽  
A. McIntosh ◽  
...  

AbstractBackgroundMental health research is commonly affected by difficulties in recruiting and retaining participants, resulting in findings which are based on a sub-sample of those actually living with mental illness. Increasing the use of Big Data for mental health research, especially routinely-collected data, could improve this situation. However, steps to facilitate this must be enacted in collaboration with those who would provide the data - people with mental health conditions.MethodsWe used the Delphi method to create a best practice checklist for mental health data science. Twenty participants with both expertise in data science and personal experience of mental illness worked together over three phases. In the Phase 1, participants rated a list of 63 statements and added any statements or topics that were missing. Statements receiving a mean score of 5 or more (out of 7) were retained. These were then combined with the results of a rapid thematic analysis of participants’ comments to produce a 14-item draft checklist, with each item split into two components: best practice now and best practice in the future. In Phase 2, participants indicated whether or not each item should remain in the checklist, and items that scored more than 50% endorsement were retained. In Phase 3 participants rated their satisfaction with the final checklist.ResultsThe final checklist was made up of 14 “best practice” items, with each item covering best practice now and best practice in the future. At the end of the three phases, 85% of participants were (very) satisfied with the two best practice checklists, with no participants expressing dissatisfaction.ConclusionsIncreased stakeholder involvement is essential at every stage of mental health data science. The checklist produced through this work represents the views of people with experience of mental illness, and it is hoped that it will be used to facilitate trustworthy and innovative research which is inclusive of a wider range of individuals.


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