scholarly journals Psychiatrists' views of evidence-based psychiatric practice

1999 ◽  
Vol 23 (3) ◽  
pp. 159-161 ◽  
Author(s):  
Stephen Carey ◽  
David J. Hall

Aims and methodTo determine the attitudes of psychiatrists towards the practice of evidence-based medicine by use of a postal questionnaire. A survey was sent to Consultant Psychiatrists and to Higher Trainees in Psychiatry in the West of Scotland Region.ResultsWhile older influences on decision-making such as tradition and deference still play a part, almost all respondents consider the adoption of more effective care based on best available external evidence desirable; most think it attainable. The technology is generally available, but further training is desired to access the information and its critical analysis.Clinical implicationsEducational activities should increasingly focus on skills for data search and critical analysis.

2003 ◽  
Vol 27 (08) ◽  
pp. 301-304
Author(s):  
Gavin Reid ◽  
Mark Hughson

Aims and Method We conducted a postal questionnaire survey of the practice of rapid tranquillisation among 215 consultant psychiatrists in the West of Scotland, before and after the withdrawal of droperidol by the manufacturer. Results One hundred and eighty questionnaires (84% of those sent) were returned. Droperidol had been used extensively, often combined with lorazepam, for rapid tranquillisation. The main replacement suggested for droperidol was haloperidol. About half of the respondents to our survey chose to comment on the withdrawal of droperidol. More than half of the comments were unfavourable, including lack of an adequate replacement and lack of consultation with the psychiatric profession. Clinical Implications The abrupt withdrawal of droperidol, partly for commercial reasons, was regrettable. There was no time for an adequate evaluation of possible replacement medications and a lack of consultation with the profession regarding the impact on clinical care.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisanne S. Welink ◽  
Kaatje Van Roy ◽  
Roger A. M. J. Damoiseaux ◽  
Hilde A. Suijker ◽  
Peter Pype ◽  
...  

Abstract Background Evidence-based medicine (EBM) in general practice involves applying a complex combination of best-available evidence, the patient’s preferences and the general practitioner’s (GP) clinical expertise in decision-making. GPs and GP trainees learn how to apply EBM informally by observing each other’s consultations, as well as through more deliberative forms of workplace-based learning. This study aims to gain insight into workplace-based EBM learning by investigating the extent to which GP supervisors and trainees recognise each other’s EBM behaviour through observation, and by identifying aspects that influence their recognition. Methods We conducted a qualitative multicentre study based on video-stimulated recall interviews (VSI) of paired GP supervisors and GP trainees affiliated with GP training institutes in Belgium and the Netherlands. The GP pairs (n = 22) were shown fragments of their own and their partner’s consultations and were asked to elucidate their own EBM considerations and the ones they recognised in their partner’s actions. The interview recordings were transcribed verbatim and analysed with NVivo. By comparing pairs who recognised each other’s considerations well with those who did not, we developed a model describing the aspects that influence the observer’s recognition of an actor’s EBM behaviour. Results Overall, there was moderate similarity between an actor’s EBM behaviour and the observer’s recognition of it. Aspects that negatively influence recognition are often observer-related. Observers tend to be judgemental, give unsolicited comments on how they would act themselves and are more concerned with the trainee-supervisor relationship than objective observation. There was less recognition when actors used implicit reasoning, such as mindlines (internalised, collectively reinforced tacit guidelines). Pair-related aspects also played a role: previous discussion of a specific topic or EBM decision-making generally enhanced recognition. Consultation-specific aspects played only a marginal role. Conclusions GP trainees and supervisors do not fully recognise EBM behaviour through observing each other’s consultations. To improve recognition of EBM behaviour and thus benefit from informal observational learning, observers need to be aware of automatic judgements that they make. Creating explicit learning moments in which EBM decision-making is discussed, can improve shared knowledge and can also be useful to unveil tacit knowledge derived from mindlines.


2009 ◽  
Vol 24 (4) ◽  
pp. 298-305 ◽  
Author(s):  
David A. Bradt

AbstractEvidence is defined as data on which a judgment or conclusion may be based. In the early 1990s, medical clinicians pioneered evidence-based decision-making. The discipline emerged as the use of current best evidence in making decisions about the care of individual patients. The practice of evidence-based medicine required the integration of individual clinical expertise with the best available, external clinical evidence from systematic research and the patient's unique values and circumstances. In this context, evidence acquired a hierarchy of strength based upon the method of data acquisition.Subsequently, evidence-based decision-making expanded throughout the allied health field. In public health, and particularly for populations in crisis, three major data-gathering tools now dominate: (1) rapid health assessments; (2) population based surveys; and (3) disease surveillance. Unfortunately, the strength of evidence obtained by these tools is not easily measured by the grading scales of evidence-based medicine. This is complicated by the many purposes for which evidence can be applied in public health—strategic decision-making, program implementation, monitoring, and evaluation. Different applications have different requirements for strength of evidence as well as different time frames for decision-making. Given the challenges of integrating data from multiple sources that are collected by different methods, public health experts have defined best available evidence as the use of all available sources used to provide relevant inputs for decision-making.


2002 ◽  
Vol 26 (11) ◽  
pp. 421-424 ◽  
Author(s):  
Harvey Rees ◽  
Attila Sipos ◽  
Matthew Spence ◽  
Glynn Harrison

Aims and MethodWe aimed to survey clinicians' attitudes on using evidence-based guidelines. A postal questionnaire based on a previous survey of general practitioners was sent to 105 psychiatrists working within Avon and Western Wiltshire Mental Health Partnership NHS Trust.ResultsThere was a 91% response rate. Respondents were generally in favour of clinical guidelines, with scores indicating a positive attitude to guidelines in 13 of the 18 statements. The majority felt that guidelines were effective in improving patient care, could be used flexibly to suit individual patients and did not impinge on their clinical judgement.Clinical ImplicationsPsychiatrists welcomed the increasing use of guidelines. Further research is needed to determine whether this will translate into actual use and improved outcomes for patients.


Author(s):  
Skye P. Barbic ◽  
Stefan J. Cano

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.


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