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Assessment and management of chronic insomnia disorder: an algorithm for primary care physicians.
Selsick, Hugh; Heidbreder, Anna; Ellis, Jason; Ferini-Strambi, Luigi; García-Borreguero, Diego; Leontiou, Chrysoula; Mak, Michael S B; O'Regan, David; Parrino, Liborio.
Afiliación
  • Selsick H; Insomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals, London, NW1 2PG, UK.
  • Heidbreder A; Department of Neurology, Johannes Kepler University Linz, Linz, 4020, Austria.
  • Ellis J; Department of Psychology, Northumbria University, Newcastle, NE1 8ST, UK.
  • Ferini-Strambi L; Department of Neurological Sciences, Università Vita-Salute San Raffaele, Milan, 20132, Italy.
  • García-Borreguero D; Sleep Research Institute, Madrid, 28036, Spain.
  • Leontiou C; Idorsia Pharmaceuticals Ltd, Allschwil, 4123, Switzerland.
  • Mak MSB; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • O'Regan D; Faculty of Life Sciences and Medicine, King's College, London, WC2R 2LS, UK.
  • Parrino L; Sleep Disorders Centre, Guy's Hospital, London, SE1 9RT, UK.
BMC Prim Care ; 25(1): 138, 2024 Apr 26.
Article en En | MEDLINE | ID: mdl-38671358
ABSTRACT

BACKGROUND:

Primary care physicians often lack resources and training to correctly diagnose and manage chronic insomnia disorder. Tools supporting chronic insomnia diagnosis and management could fill this critical gap. A survey was conducted to understand insomnia disorder diagnosis and treatment practices among primary care physicians, and to evaluate a diagnosis and treatment algorithm on its use, to identify ways to optimize it specifically for these providers.

METHODS:

A panel of experts developed an algorithm for diagnosing and treating chronic insomnia disorder, based on current guidelines and experience in clinical practice. An online survey was conducted with primary care physicians from France, Germany, Italy, Spain, and the United Kingdom, who treat chronic insomnia patients, between January and February 2023. A sub-sample of participants provided open-ended feedback on the algorithm and gave suggestions for improvements.

RESULTS:

Overall, 106 primary care physicians completed the survey. Half (52%, 55/106) reported they did not regularly screen for insomnia and half (51%, 54/106) felt they did not have enough time to address patients' needs in relation to insomnia or trouble sleeping. The majority (87%,92/106) agreed the algorithm would help diagnose chronic insomnia patients and 82% (87/106) agreed the algorithm would help improve their clinical practice in relation to managing chronic insomnia. Suggestions for improvements were making the algorithm easier to read and use.

CONCLUSION:

The algorithm developed for, and tested by, primary care physicians to diagnose and treat chronic insomnia disorder may offer significant benefits to providers and their patients through ensuring standardization of insomnia diagnosis and management.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Médicos de Atención Primaria / Trastornos del Inicio y del Mantenimiento del Sueño Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Prim Care Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Médicos de Atención Primaria / Trastornos del Inicio y del Mantenimiento del Sueño Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Prim Care Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido