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Biomedical subjects

S B Sharkey

Publications and source records attributed to S B Sharkey.

2 recordsLinked to original sources

The impact on work-related stress of mental health teams following team-based learning on clinical risk management.

Risk management is viewed as a systematic process based on multiprofessional and multi-agency decision-making. A learning pack was developed as part of a team-based learning project aiming to encourage and develop collaborative working practice. This brought different professionals and agencies working in mental health together to learn. There is little doubt that mental health practice is a source of stress for practitioners. Apart from the stress associated with managing 'risky' situations, risk management is also a relatively new concept. This can increase stress around ability to cope, both on an individual practitioner level and in teams. This article reports the impact that the learning pack had on team members' stress, specifically work-related stress. A range of scales were used to measure change in stress and results demonstrated reduced work-related pressure in a number of areas following the learning. The implications for team learning in relation to clinical risk management are discussed in light of the findings.

Education↗

An approach to consensus building using the Delphi technique: developing a learning resource in mental health.

Health service research is best served through the collaboration of researchers and practitioners. This study utilizes a multi-method approach in developing a learning resource in clinical risk management in mental health. Phase one of the project is reported here; using a Delphi Technique to build the learning resource. Using the Delphi enabled a group of 'experts' to explore a complex issue and move towards consensus. In addition, the Delphi technique enabled the researchers to repeatedly access a dispersed group of 'experts' in an economic way. A three round Delphi was undertaken and results were analyzed (medians, means, standard deviations and thematic content analysis) to facilitate consensus building from a range of perspectives. The analytical model chosen is discussed in the context of prior use of the Delphi as a consensus building technique. The researchers conclude that analysis using medians and means to measure the level of agreement/disagreement with the content and structure of the learning pack, standard deviations to measure 'tightening' of the group view and Thematic Content Analysis of qualitative data was an effective approach. They argue that in the education and health fields, group views are particularly important and that this is a central tenet of the Delphi.

Delphi Technique↗