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Enregistrement W2164708841 · doi:10.1186/1477-7525-2-17

An assessment of quality of sleep and the use of drugs with sedating properties in hospitalized adult patients.

2004· article· en· W2164708841 sur OpenAlexaffabout
Luciana Frighetto, Carlo A. Marra, Shakeel Bandali, Kerry Wilbur, Terryn Naumann, Peter J. Jewesson

Notice bibliographique

RevueHealth and Quality of Life Outcomes · 2004
Typearticle
Langueen
DomainePsychology
ThématiqueSleep and related disorders
Établissements canadiensUniversity of British ColumbiaVancouver General HospitalVancouver Hospital and Health Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineSleep disorderInsomniaHypnoticMedical prescriptionPopulationQuality of life (healthcare)Prospective cohort studyPsychiatryInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Hospitalization can significantly disrupt sleeping patterns. In consideration of the previous reports of insomnia and apparent widespread use of benzodiazepines and other hypnotics in hospitalized patients, we conducted a study to assess quality of sleep and hypnotic drug use in our acute care adult patient population. The primary objectives of this study were to assess sleep disturbance and its determinants including the use of drugs with sedating properties. METHODS: This single-centre prospective study involved an assessment of sleep quality for consenting patients admitted to the general medicine and family practice units of an acute care Canadian hospital. A validated Verran and Snyder-Halpern (VSH) Sleep Scale measuring sleep disturbance, sleep effectiveness, and sleep supplementation was completed daily by patients and scores were compared to population statistics. Patients were also asked to identify factors influencing sleep while in hospital, and sedating drug use prior to and during hospitalization was also assessed. RESULTS: During the 70-day study period, 100 patients completed at least one sleep questionnaire. There was a relatively even distribution of males versus females, most patients were in their 8th decade of life, retired, and suffered from multiple chronic diseases. The median self-reported pre-admission sleep duration for participants was 8 hours and our review of PharmaNet profiles revealed that 35 (35%) patients had received a dispensed prescription for a hypnotic or antidepressant drug in the 3-month period prior to admission. Benzodiazepines were the most common sedating drugs prescribed. Over 300 sleep disturbance, effective and supplementation scores were completed. Sleep disturbance scores across all study days ranged 16-681, sleep effectiveness scores ranged 54-402, while sleep supplementation scores ranged between 0-358. Patients tended to have worse sleep scores as compared to healthy non-hospitalized US adults in all three scales. When compared to US non-hospitalized adults with insomnia, our patients demonstrated sleep disturbance and supplementation scores that were similar on Day 1, but lower (i.e. improved) on Day 3, while sleep effectiveness were higher (i.e. better) on both days. There was an association between sleep disturbance scores and the number of chronic diseases, the presence of pain, the use of bedtime tricyclic antidepressants, and the number of chronic diseases without pain. There was also an association between sleep effectiveness scores and the length of hospitalization, the in hospital use of bedtime sedatives and the presence of pain. Finally, an association was identified between sleep supplementation scores and the in hospital use of bedtime sedatives (tricyclic antidepressants and loxapine), and age. Twenty-nine (29%) patients received a prescription for a hypnotic drug while in hospital, with no evidence of pre-admission hypnotic use. The majority of these patients were prescribed zopiclone, lorazepam or another benzodiazepine. CONCLUSIONS: The results of this study reveal that quality of sleep is a problem that affects hospitalized adult medical service patients and a relatively high percentage of these patients are being prescribed a hypnotic prior to and during hospitalization.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,975

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,077
Tête enseignante GPT0,403
Écart entre enseignants0,326 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations103
Publié2004
Routes d'admission2
Résumé présentoui

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