CLINICAL CONTEXT, PATIENT
PERSPECTIVES & DECISION
SUPPORT TOOLS
CLINICAL CONTEXT & SERVICE USER PERSPECTIVES
Patients bring:
• Views about causes (stress, lifestyle, punishment, genetics).
• Expectations (tests, referrals, “scans to be sure”).
• Constraints (work, caring responsibilities, finances, transport).
• Past experiences of health services.
These influence:
• What they disclose.
• Which diagnoses they accept or reject.
• Their adherence to recommended tests or treatments.
Useful questions in practice:
• “What worries you most about this?”
• “What ideas do you have about what might be going on?”
• “What’s most important to you as we plan next steps?”
ETHICS, LAW AND PROFESSIONAL RESPONSIBILITIES
Key issues:
• Diagnostic error and delay:
⚬ Usually multifactorial: system, communication, cognitive.
• Duty of candour:
⚬ Being open and honest when things go wrong.
• Documentation:
⚬ Record reasoning, uncertainties, discussions about risk.
• Safety netting:
⚬ Explicit advice about red flags, when/where to seek help, and
follow-up.
ACP role:
• Model open discussion of uncertainty with patients and team.
• Advocate for appropriate testing and follow-up.
DECISION SUPPORT TOOLS
Types:
• Paper-based scores (e.g. early warning scores, risk prediction
tools).
• Clinical pathways and flowcharts.
• Computerised decision support embedded in EHRs.
• Checklists.
Potential benefits:
• Prompt recognition of deterioration/red flags.
• Standardise minimum assessment.
• Support less experienced clinicians.
Potential problems:
• Over-simplification.
• Poor fit with complex, multi-morbid patients.
• “Tick-box mentality” – replacing thinking instead of supporting it.
PRINCIPLES FOR DESIGNING A GOOD CLINICAL TOOL
• Clear purpose
⚬ What decision does it support? (e.g. “admit vs discharge,”
“urgent imaging vs observe”).
• Evidence-informed
⚬ Based on best available guidelines, studies, and
pathophysiology.
• Usable
⚬ Short, simple, intuitive in real clinical conditions.
• Safe
⚬ Includes clear red flags and escalation routes.
⚬ Makes limitations explicit (“for adults only”, “not for
pregnancy”, etc.).
• Auditable
⚬ Can be evaluated: does it improve outcomes? reduce harm?
To end the module:
• Recap the journey:
⚬ Week 1: What diagnosis is and how context shapes it.
⚬ Week 2: How we think and how we get biased.
⚬ Week 3: What tests are for and their costs.
⚬ Week 4: Test accuracy and probability.
⚬ Week 5: Pathophysiology and investigations.
⚬ Week 6: Patient context and decision support.

Clinical context, patient perspective.pptx

  • 1.
  • 2.
    CLINICAL CONTEXT &SERVICE USER PERSPECTIVES Patients bring: • Views about causes (stress, lifestyle, punishment, genetics). • Expectations (tests, referrals, “scans to be sure”). • Constraints (work, caring responsibilities, finances, transport). • Past experiences of health services. These influence: • What they disclose. • Which diagnoses they accept or reject. • Their adherence to recommended tests or treatments. Useful questions in practice: • “What worries you most about this?” • “What ideas do you have about what might be going on?” • “What’s most important to you as we plan next steps?”
  • 3.
    ETHICS, LAW ANDPROFESSIONAL RESPONSIBILITIES Key issues: • Diagnostic error and delay: ⚬ Usually multifactorial: system, communication, cognitive. • Duty of candour: ⚬ Being open and honest when things go wrong. • Documentation: ⚬ Record reasoning, uncertainties, discussions about risk. • Safety netting: ⚬ Explicit advice about red flags, when/where to seek help, and follow-up. ACP role: • Model open discussion of uncertainty with patients and team. • Advocate for appropriate testing and follow-up.
  • 4.
    DECISION SUPPORT TOOLS Types: •Paper-based scores (e.g. early warning scores, risk prediction tools). • Clinical pathways and flowcharts. • Computerised decision support embedded in EHRs. • Checklists. Potential benefits: • Prompt recognition of deterioration/red flags. • Standardise minimum assessment. • Support less experienced clinicians. Potential problems: • Over-simplification. • Poor fit with complex, multi-morbid patients. • “Tick-box mentality” – replacing thinking instead of supporting it.
  • 5.
    PRINCIPLES FOR DESIGNINGA GOOD CLINICAL TOOL • Clear purpose ⚬ What decision does it support? (e.g. “admit vs discharge,” “urgent imaging vs observe”). • Evidence-informed ⚬ Based on best available guidelines, studies, and pathophysiology. • Usable ⚬ Short, simple, intuitive in real clinical conditions. • Safe ⚬ Includes clear red flags and escalation routes. ⚬ Makes limitations explicit (“for adults only”, “not for pregnancy”, etc.). • Auditable ⚬ Can be evaluated: does it improve outcomes? reduce harm?
  • 6.
    To end themodule: • Recap the journey: ⚬ Week 1: What diagnosis is and how context shapes it. ⚬ Week 2: How we think and how we get biased. ⚬ Week 3: What tests are for and their costs. ⚬ Week 4: Test accuracy and probability. ⚬ Week 5: Pathophysiology and investigations. ⚬ Week 6: Patient context and decision support.