Content coding for contextualization of care: evaluating physician performance at patient-centered decision making.

Area of Science:

• Medical Informatics
• Health Services Research
• Clinical Decision Making

Background:

• Patient-centered decision making (PCDM) integrates patient-specific circumstances into care plans.
• Contextualizing care involves adapting evidence-based practices to individual patient realities.
• Understanding patient context is key to effective and appropriate medical treatment.

Purpose of the Study:

• To develop and validate a method for analyzing physician-patient interactions.
• To assess the extent to which patient-centered decision making is practiced.
• To determine if clinical decisions incorporate patient-specific contextual factors.

Main Methods:

• Physicians' patient encounters were audio-recorded with patient consent.
• Recordings and medical records were analyzed for "contextual red flags."
• A coding protocol was iteratively refined to identify addressed contextual factors, achieving high interrater agreement.

Main Results:

• A data extraction instrument identified contextual red flags (e.g., missed appointments).
• High interrater agreement was achieved: 88% for exploring red flags, 94% for identifying factors, and 85% for addressing them in care plans.
• The developed method reliably assesses the integration of patient context into care.

Conclusions:

• Patient-centered decision making (PCDM) can be reliably assessed.
• A validated protocol effectively examines the incorporation of contextual information into care plans.
• This method enhances the evaluation of care plan appropriateness for individual patients.