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Enregistrement W4389574049 · doi:10.3390/healthcare11243130

A Scoping Review of Adult Inpatient Satisfaction with Mental Health Services

2023· review· en· W4389574049 sur OpenAlexafffund
Hossam Eldin Elgendy, Reham Shalaby, Ernest Owusu, Nnamdi Nkire, Vincent I. O. Agyapong, Yifeng Wei

Notice bibliographique

RevueHealthcare · 2023
Typereview
Langueen
DomaineHealth Professions
ThématiquePatient Satisfaction in Healthcare
Établissements canadiensDalhousie UniversityAlberta Health ServicesUniversity of Alberta
Organismes subventionnairesAlberta InnovatesAlberta Innovates - Technology Futures
Mots-clésMental healthPatient satisfactionPsychologyMedicineNursingPsychiatry

Résumé

récupéré en direct d'OpenAlex

Patient satisfaction with hospital services has been increasingly discussed as an important indicator of healthcare quality. It has been demonstrated that improving patient satisfaction is associated with better compliance with treatment plans and a decrease in patient complaints regarding doctors' and nurses' misconduct. This scoping review's objective is to investigate the pertinent literature on the experiences and satisfaction of patients with mental disorders receiving inpatient psychiatric care. Our goals are to highlight important ideas and explore the data that might serve as a guide to enhance the standard of treatment and patient satisfaction in acute mental health environments. This study is a scoping review that was designed in adherence with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) statement. A systematic search was conducted in the following databases: PubMed, MEDLINE, PsycINFO, CINAHL, and EMBASE. A comprehensive review was completed, including articles from January 2012 to June 2022. Qualitative and quantitative studies were included in this review based on our eligibility criteria, such as patient satisfaction as a primary outcome, adult psychiatric inpatients, and non-review studies published in the English language. Studies were considered ineligible if they included nonpsychiatric patients or patients with neurocognitive disorders, review studies, or study measure outcomes other than inpatient satisfaction. For the eligible studies, data extraction was conducted, information was summarized, and the findings were reported. A total of 31 studies representing almost all the world's continents were eligible for inclusion in this scoping review. Different assessment tools and instruments were used in the included studies to measure the level of patients' satisfaction. The majority of the studies either utilized a pre-existing or newly created inpatient satisfaction questionnaire that appeared to be reliable and of acceptable quality. This review has identified a variety of possible factors that affect patients' satisfaction and can be used as a guide for service improvement. More than half of the included studies revealed that the following factors were strongly recommended to enhance inpatient satisfaction with care: a clear discharge plan, less coercive treatment during the hospital stay, more individualized, higher quality information and teaching about the mental disorder to patients by staff, better therapeutic relationships with staff, and specific treatment components that patients enjoy, such as physical exercise sessions and music therapy. Patients also value staff who spend more time with them. The scope of patient satisfaction with inpatient mental health services is a growing source of concern. Patient satisfaction is associated with better adherence to treatment regimens and fewer complaints against health care professionals. This scoping review has identified several patient satisfaction research gaps as well as important determinants of satisfaction and how to measure and utilize patient satisfaction as a guide for service quality improvement. It would be useful for future research and reviews to consider broadening their scope to include the satisfaction of psychiatric patients with innovative services, like peer support groups and other technologically based interventions like text for support. Future research also could benefit from utilizing additional technological tools, such as electronic questionnaires.

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 candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,252
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,173
Tête enseignante GPT0,528
Écart entre enseignants0,355 · 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.

Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations16
Publié2023
Routes d'admission2
Résumé présentoui

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