Details

Autor(en) / Beteiligte

• Kinney, Adam R.
• Brenner, Lisa A.
• Nance, Morgan
• Mignogna, Joseph
• Cobb, Audrey D.
• Forster, Jeri E.
• Ulmer, Christi S.
• Nakase-Richardson, Risa
• Bahraini, Nazanin H.

Titel

Factors Influencing Adherence to Insomnia and Obstructive Sleep Apnea Treatments among Veterans with Mild Traumatic Brain Injury

Ist Teil von

• Behavioral sleep medicine, 2024-07, Vol.22 (4), p.553-570

Ort / Verlag

England: Taylor & Francis

Erscheinungsjahr

2024

Quelle

Applied Social Sciences Index & Abstracts (ASSIA)

Beschreibungen/Notizen

• To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI). Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach. Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support). Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.