Patient Pathway —
Training activity: 13

Details

Interrogate existing quantified patient outcome data across a clinical service

Type

Developmental training activity (DTA)

Evidence requirements

Evidence the activity has been undertaken by the trainee​.

Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.

An action plan to implement learning and/or to address skills or knowledge gaps identified.

Considerations

• Review/critique data sources
• Statistical methods
• Responders vs non responders
• Factors which influence outcomes
• Consideration of health economic factors and commissioning policy
• Evidence to inform commissioning

Reflective practice guidance

The guidance below is provided to support reflection at different time points, providing you with questions to aid you to reflect for this training activity. They are provided for guidance and should not be considered as a mandatory checklist. Trainees should not be expected to provide answers to each of the guidance questions listed.

Before action

• What patient outcome data is available for the clinical service?
  • What questions are you aiming to answer by interrogating this data?
  • What analytical techniques might be appropriate?
  • What skills in data analysis and interpretation are required?
• What do you hope to learn about accessing and analysing patient outcome data within a clinical service?
  • What insights do you expect to gain about the performance and effectiveness of the service?
  • What prior experience do you have with data management and statistical analysis?
• How will you gain access to the relevant patient outcome data?
  • What tools or software will you use for interrogation and analysis?
  • What specific metrics or indicators will you focus on?
  • How will you ensure data privacy and confidentiality?
  • What potential challenges might you face in accessing or analysing the data, and how will you prepare for them?
  • How do you feel about working with patient outcome data?

In action

• When drafting the business case and options appraisal, what key information are you including to justify the need for the new model and to compare different options?
  • Why is this information crucial
• What decisions are you making about the financial, operational, and clinical factors to consider in your appraisal?
• As you develop the implementation plan, what potential challenges are you anticipating, and how are you adapting the plan to address them proactively?

On action

• Summarise the key elements of your outline business case, options appraisal, and implementation plan.
  • What were the main arguments and considerations?
• What did you learn about drafting business cases and conducting options appraisals for healthcare service improvements?
  • Did you improve your understanding of the factors to consider in implementation planning?
  • Were there any challenges in quantifying benefits or costs?
  • What did you learn about addressing these uncertainties?
  • How did you prioritise different factors (e.g., clinical need, financial implications, operational feasibility) in your appraisal and plan?
  • How does the ability to develop business cases and implementation plans contribute to service innovation and improvement?
• What aspects of business case development, options appraisal methodologies, or implementation planning do you need to develop further?
  • What further understanding of healthcare economics and management would be valuable?
    • How will you approach future business case development?
    • What specific actions will you take to enhance these skills?
    • What templates or guidance on business case development would be helpful?

Beyond action

• Have you interrogated other patient outcome datasets since this DTA?
  • How has your ability to access, manipulate, and interpret clinical data improved?
  • Have you compared the outcome data you analysed with benchmarks or expected values?
• How has this experience influenced your understanding of the importance of data in evaluating service effectiveness?
  • Have you applied your data interrogation skills to inform service improvement discussions?
  • Has your ability to identify trends and patterns in patient outcomes developed?
• What skills in data analysis, statistical thinking, and outcome measurement did you develop that will be crucial for service evaluation and research?
  • How has this experience shaped your understanding of the use of data to drive quality improvement?
  • What actions will you take to further develop your data analysis skills in a clinical context?

Relevant learning outcomes

#	Outcome
# 5	Outcome Appraise patient experiences, requirements and goals across specialist service areas.
# 6	Outcome Manipulate, visualise, analyse and interpret clinical and clinical service derived data.
# 8	Outcome Evaluate outcome and evidence data for an individual or group of patients.