Analysis of the correlation between the degree of sleepiness and the therapeutic effect in patients with insomnia disorder treated with digital cognitive behavioral therapy - Scorecard - MDSpire

Analysis of the correlation between the degree of sleepiness and the therapeutic effect in patients with insomnia disorder treated with digital cognitive behavioral therapy

  • By

  • Yangfei Che

  • Mingfen Song

  • Lili Yang

  • Junhang Zhang

  • Hongjing Mao

  • June 22, 2026

  • 0 min

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Clinical Scorecard: Investigation of the Relationship Between Sleepiness Levels and Treatment Outcomes in Insomnia Patients Undergoing Digital Cognitive Behavioral Therapy

At a Glance

CategoryDetail
ConditionInsomnia
Key MechanismsDaytime sleepiness during dCBT-I may affect function and adherence, and can predict treatment efficacy.
Target PopulationPatients diagnosed with insomnia disorder attending a sleep clinic.
Care SettingSleep clinic

Key Highlights

  • Increased daytime sleepiness observed during early dCBT-I treatment.
  • ESS scores peaked at week 2 of treatment.
  • Factors influencing daytime sleepiness include sex, medication use, and baseline ESS scores.
  • Higher PSQI reduction rates were noted in patients with early increased sleepiness.
  • Week 2 ESS exacerbation predicted higher PSQI reduction at subsequent follow-ups.

Guideline-Based Recommendations

Diagnosis

  • Patients must meet DSM-5 criteria for insomnia disorder and have a PSQI score greater than 7.

Management

  • Digital cognitive behavioral therapy for insomnia (dCBT-I) is recommended as a first-line treatment.

Monitoring & Follow-up

  • Monitor daytime sleepiness using the Epworth Sleepiness Scale (ESS) during treatment.

Risks

  • Increased daytime sleepiness may negatively impact daytime function and treatment adherence.

Patient & Prescribing Data

Insomnia patients treated at the sleep clinic of Hangzhou Seventh People’s Hospital.

dCBT-I provides structured treatment content online, which may help alleviate insomnia symptoms.

Clinical Best Practices

  • Utilize ESS and PSQI for assessing sleepiness and sleep quality in insomnia patients.
  • Consider factors such as sex and medication use when evaluating treatment outcomes.

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