Network meta-analysis comparing the effectiveness of a prescription digital therapeutic for chronic insomnia to medications and face-to-face cognitive behavioral therapy in adults.
Curr Med Res Opin
; 38(10): 1727-1738, 2022 10.
Article
en En
| MEDLINE
| ID: mdl-35938209
Chronic insomnia is the long-term inability to fall asleep easily or to stay asleep. This condition is much more serious than most people realize, raising the risk of many health problems including depression, heart disease, and injuries.Although sleep medications are commonly used to treat insomnia, these drugs may not be effective and can lead to harms such as accidents or clouded thinking. Clinical guidelines recommend a treatment called cognitive behavioral therapy for insomnia (CBT-I) that is safe and effective. Unfortunately, there is a shortage of clinicians trained to provide CBT-I.Prescription digital therapeutics (PDTs) are FDA-approved software programs available on mobile devices such as smartphones. A PDT for insomnia (Somryst) delivers CBT-I and can overcome barriers to access for this important type of therapy. To compare the effectiveness of this PDT with FDA-approved sleep medications and face-to-face CBT-I a special kind of study was conducted called a network meta-analysis. This is a statistical method of combining data from numerous studies in a way that allows the results to be fairly compared.This network meta-analysis of 20 studies found that the PDT was more effective at reducing insomnia symptoms than any of the sleep medications studied and was even more effective than face-to-face CBT-I as measured by scores on a clinically valid scale of insomnia symptoms. These results are encouraging because they suggest that digital delivery of CBT-I could help the millions of people who currently do not have access to this effective treatment.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Terapia Cognitivo-Conductual
/
Trastornos del Inicio y del Mantenimiento del Sueño
Tipo de estudio:
Clinical_trials
/
Guideline
/
Prognostic_studies
/
Systematic_reviews
Límite:
Adult
/
Humans
Idioma:
En
Revista:
Curr Med Res Opin
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido