0477 Patient Preferences for Evaluating Treatment of Depression and Insomnia

Abstract Introduction Insomnia and depression are highly prevalent, often co-morbid and contribute to substantial impairment and increased health risks. Although effective pharmacotherapy and psychotherapy treatments exist for both conditions, in real world practice, a minority of patients receive care for both, leading to residual symptoms for untreated conditions. Patient preference for treatment modality or sequence may impact outcomes. Research shows that aligning preferences to treatment conditions improves engagement, the therapeutic alliance, and attendance, whereas mismatches increase attrition. We sought to gather information on patient preferences to guide future research on optimal treatment sequencing, modality and matching via for individuals with co-occurring insomnia and depression. Methods We recruited participants via social media to complete an online self-report assessment. N = 101 participants met our inclusion criteria for co-occurring depression and insomnia and completed a 10-item preference survey including: depression and insomnia treatment (medication, therapy, no preference) and the importance of choice in the type of treatment and which problem should be treated first (not/somewhat, very, or extremely important, for each). Participants ordered the importance of indicators of treatment working from most to least important and described their likelihood of participating in research virtually over zoom, other audiovisual options and having study medications mailed sent to their home. Results Participants preferred therapy for depression (51%), medication for insomnia (57%), and most said it was extremely important to choose the type (55% for both) and sequencing of treatment (44%). Participants described sleep quality, energy, and mood as the top three indicators that treatment was working. Most were willing to engage in virtual (88%) and research where study medications are mailed to their home (71%). The most reported concern about online therapy was data safety (4 participants) while delayed/lost/stolen medicine, or fear of tampering were the most reported concerns about mailed medications (4 participants each). Conclusion Overall, participants with insomnia and depression have distinct preferences for treatment type and sequencing. Most prefer psychotherapy for depression, medication for insomnia, and want to have a choice in which condition is treated first. Understanding patient preferences will be useful in implementing and maximizing treatment efforts for those with co-morbid insomnia and depression. Support (if any)

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0476
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0477 Patient Preferences for Evaluating Treatment of Depression and Insomnia

WR Pigeon, Maria Martik, Eric Sumpter, Jolynn Jones et al.
SLEEP
Digital Mental Health Interventions
article

0477 Patient Preferences for Evaluating Treatment of Depression and Insomnia

WR Pigeon, Maria Martik, Eric Sumpter, Jolynn Jones, Brooke Jennings, Rachel Jang, Todd Bishop, Robert Bossarte
article en

Abstract

Abstract Introduction Insomnia and depression are highly prevalent, often co-morbid and contribute to substantial impairment and increased health risks. Although effective pharmacotherapy and psychotherapy treatments exist for both conditions, in real world practice, a minority of patients receive care for both, leading to residual symptoms for untreated conditions. Patient preference for treatment modality or sequence may impact outcomes. Research shows that aligning preferences to treatment conditions improves engagement, the therapeutic alliance, and attendance, whereas mismatches increase attrition. We sought to gather information on patient preferences to guide future research on optimal treatment sequencing, modality and matching via for individuals with co-occurring insomnia and depression. Methods We recruited participants via social media to complete an online self-report assessment. N = 101 participants met our inclusion criteria for co-occurring depression and insomnia and completed a 10-item preference survey including: depression and insomnia treatment (medication, therapy, no preference) and the importance of choice in the type of treatment and which problem should be treated first (not/somewhat, very, or extremely important, for each). Participants ordered the importance of indicators of treatment working from most to least important and described their likelihood of participating in research virtually over zoom, other audiovisual options and having study medications mailed sent to their home. Results Participants preferred therapy for depression (51%), medication for insomnia (57%), and most said it was extremely important to choose the type (55% for both) and sequencing of treatment (44%). Participants described sleep quality, energy, and mood as the top three indicators that treatment was working. Most were willing to engage in virtual (88%) and research where study medications are mailed to their home (71%). The most reported concern about online therapy was data safety (4 participants) while delayed/lost/stolen medicine, or fear of tampering were the most reported concerns about mailed medications (4 participants each). Conclusion Overall, participants with insomnia and depression have distinct preferences for treatment type and sequencing. Most prefer psychotherapy for depression, medication for insomnia, and want to have a choice in which condition is treated first. Understanding patient preferences will be useful in implementing and maximizing treatment efforts for those with co-morbid insomnia and depression. Support (if any)

SLEEPVol. 49(Supplement_1)
University of South Florida (US), University of Rochester Medical Center (US), University of Rochester (US)
Reduced inequalities
Openalex Percentile: Top 5%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.