Management of Complex Sleep —
Training activity: 10

Details

Interpret and provide summary reports of the key findings of investigations undertaken for excessive daytime sleepiness.  To include results from

• PSG
• MSLT
• Actigraphy/sleep log/sleep questionnaire

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.

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 are the key objective and subjective measures used in the investigation of excessive daytime sleepiness (EDS) obtained from PSG, MSLT, actigraphy/sleep log/sleep questionnaire?
• What knowledge do you have of the diagnostic criteria for different causes of EDS (e.g., narcolepsy, idiopathic hypersomnia, sleep deprivation) and how these investigations contribute to diagnosis?
• How will you integrate the findings from the different investigations to form a coherent interpretation?
• What relevant technical factors from the PSG and MSLT might influence the interpretation of the results and need to be included in the report?
• How will you ensure your report answers the clinical question related to the patient’s excessive daytime sleepiness?
• What specific insights do you hope to gain regarding the process of integrating multi-modal sleep investigation data for clinical interpretation?
• Have you previously interpreted the results of sleep investigations?

In action

• What specific data points are you currently focusing on from the PSG, MSLT, and actigraphy/sleep log/sleep questionnaire (e.g., sleep latency, REM latency, total sleep time, number of arousals, ESS score)?
• How are you integrating these different pieces of information to form a coherent picture of the patient’s sleep and wake patterns?
• What potential diagnoses are you considering based on the data you have reviewed so far? What criteria from diagnostic manuals are you referencing?
• How effectively do you feel you are synthesising the information to answer the clinical question regarding excessive daytime sleepiness?
• What challenges are you encountering in reconciling potentially conflicting information from the different tests or in considering relevant technical factors?
• Are there alternative interpretations of the data you are considering? What further information might be helpful?
• What key findings will you prioritise for inclusion in your summary report to most effectively communicate the results and their implications?

On action

• How did the findings from the PSG, MSLT, actigraphy, sleep log, and sleep questionnaire correlate with each other? Were there any discrepancies or inconsistencies between the different data sources? How did you address these? What were the key findings that helped to answer the clinical question regarding excessive daytime sleepiness? How did you structure your summary report to present the key findings clearly and concisely?
• Did you improve your ability to synthesise information from multiple diagnostic tests? What did you learn about the relative strengths and limitations of PSG, MSLT, actigraphy, sleep logs, and questionnaires in assessing excessive daytime sleepiness? Did you gain a better understanding of how to formulate a comprehensive interpretation of sleep investigation results? What are the essential components of a summary report for excessive daytime sleepiness investigations?
• How will you approach the interpretation of multiple sleep-related investigations in the future? What aspects of report writing for complex sleep investigations would you like to develop further? Will you consider any specific strategies for integrating different data types to reach a comprehensive conclusion?

Beyond action

• How many reports for investigations of excessive daytime sleepiness have you interpreted and written since this training activity? Have you become more efficient and comprehensive in your reporting?
• Have you encountered cases where the results from different investigations (PSG, MSLT, actigraphy/sleep log/questionnaire) were discordant or presented a diagnostic challenge?
• Consider if your understanding of the differential diagnoses for excessive daytime sleepiness has broadened.
• Have you received feedback on your reports, and how has this informed your subsequent reporting?
• Has your confidence in interpreting complex data sets for excessive daytime sleepiness increased?
• Has this experience improved your ability to synthesise information from multiple sources into a coherent summary?
• Do you now have a better understanding of the key information that needs to be included in a report to answer the clinical question?
• What transferable skills, such as data synthesis, critical thinking, and scientific report writing, did you develop?
• How will you approach future cases of excessive daytime sleepiness, taking into account the results from various investigations?
• What clear actions for continued development in the interpretation and reporting of these complex cases have been identified?

Relevant learning outcomes

#	Outcome
# 4	Outcome Analyse and interpret data obtained from complex sleep investigations.
# 5	Outcome Prepare reports and answer the clinical question using the results of sleep investigations, with reference to the underlying symptoms and relevant technical factors.
# 7	Outcome Demonstrate a patient centered approach to practice, considering communication with patients and relatives and the patient experience.
# 8	Outcome Practice effectively as part of a multidisciplinary team to interpret complex scientific and technical data which will form part of the diagnosis and management plan.