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The Essential Elements of the Clinical Reasoning Process.

Pamela Joplin-Gonzales1, Linda Rounds

  • 1Assistant Professor (Dr Joplin-Gonzales), College of Nursing, Texas Woman's University, Dallas; and Professor and Associate Dean for Professional Development, DNP Program Director (Dr Rounds), University of Texas Medical Branch, Galveston.

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Summary

This study aimed to identify the essential elements of clinical reasoning through consensus among experts from different healthcare professions. Using the Delphi method, experts from nursing, medicine, and allied health fields agreed on 56 key elements of clinical reasoning. These elements were derived from existing literature and expert input. The authors suggest that reaching consensus across professions is essential for improving teaching and evaluation of clinical reasoning skills. The study is the first to achieve such a consensus using the Delphi method. The findings support the need for a unified framework to enhance clinical reasoning education and improve patient outcomes.

Keywords:
clinical reasoning frameworkinterprofessional healthcareDelphi study in medicinehealthcare education methods

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Area of Science:

  • Healthcare education and training
  • Interprofessional collaboration in clinical settings
  • Medical decision-making processes

Background:

Understanding clinical reasoning is crucial for improving patient care and outcomes. Prior research has shown that clinical reasoning involves identifying and evaluating patient problems, implementing interventions, and solving clinical issues. However, no prior work had resolved a unified framework across multiple healthcare professions. This gap motivated the current study to seek consensus on shared elements of clinical reasoning. Existing literature often focuses on individual professions like nursing or medicine. No prior work had resolved a comprehensive view of clinical reasoning across disciplines. That uncertainty drove the need for a collaborative approach to define essential elements. The lack of a unified framework limited the ability to teach and evaluate clinical reasoning effectively. This study aimed to address that limitation by gathering expert input from multiple fields. The absence of a cross-professional consensus hindered the development of standardized training methods.

Purpose Of The Study:

This study aimed to identify essential elements of the clinical reasoning process through interprofessional consensus. The specific problem addressed is the lack of a unified framework for clinical reasoning across healthcare professions. The motivation stems from the need to improve teaching and evaluation of clinical reasoning skills. The authors propose that consensus across professions will enhance understanding and standardization. The study's goal was to move beyond individual professions and seek agreement on shared elements. The authors suggest that such consensus is essential for better teaching and evaluation. The study focused on reaching agreement on the most critical components of clinical reasoning. The authors propose that this approach will lead to improved patient outcomes and healthcare quality.

Main Methods:

The study employed a traditional Delphi methodology to gather expert consensus. Experts were selected from nursing, medicine, and physical and occupational health fields. The Delphi approach involved iterative rounds of feedback to reach agreement. The process included reviewing clinical reasoning literature to identify potential elements. Experts evaluated and rated each proposed element for its importance. The methodology ensured that all participants had equal input in the consensus process. The final round of the Delphi process confirmed agreement on the essential elements. The authors propose that this method ensures a robust and representative consensus.

Main Results:

Experts reached a consensus on 56 essential elements of clinical reasoning. These elements were derived from the clinical reasoning literature and expert input. The consensus process identified elements relevant across nursing, medicine, and allied health. The authors suggest that this is the first time such a consensus has been achieved. The study found that the Delphi method effectively facilitated agreement among experts. The results include a comprehensive list of elements critical to clinical reasoning. The authors propose that these elements can guide teaching and evaluation practices. The findings suggest that a unified framework is possible across healthcare professions.

Conclusions:

The authors propose that consensus on clinical reasoning elements is essential for better understanding and teaching. The study's findings suggest that a unified framework can improve clinical reasoning education. The authors suggest that this consensus is a first step toward standardizing clinical reasoning skills. The results indicate that a Delphi approach is effective for achieving interprofessional agreement. The authors propose that these elements can be used to evaluate clinical reasoning in practice. The study's conclusions align with the goal of improving healthcare quality and patient outcomes. The authors suggest that future work should focus on implementing these elements in training programs. The findings support the need for continued collaboration across healthcare professions.

The study identified 56 essential elements of clinical reasoning through expert consensus using the Delphi method.

Experts from nursing, medicine, and allied health fields rated and agreed on clinical reasoning elements through iterative rounds.

The authors propose that consensus improves teaching, evaluation, and standardization of clinical reasoning skills across disciplines.

These elements provide a unified framework for understanding and teaching clinical reasoning across healthcare professions.

This is the first study to achieve consensus on clinical reasoning elements using the Delphi method across multiple healthcare fields.

The authors suggest that the findings support better teaching and evaluation of clinical reasoning skills to improve patient outcomes.