ClinicalTrials.gov
public full text
Public Domain
Optimal Acute Adult Psychiatric In-patient Care in Hong Kong
This mixed-method study aims to evaluate the optimal number of hospital beds and quality of acute adult psychiatric inpatient care in Hong Kong using online Delphi surveys for psychiatric nurses and individual interviews for service users with mental health conditions and family caregivers. The main question it aims to answer is: What are the consensus points for quality acute adult psychiatric inpatient care in Hong Kong from psychiatric nurses, service users, and caregivers? Psychiatric nurses will respond to three rounds of online Delphi surveys, while service users and caregivers will attend individual semi-structured interviews.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Effect of Wearing of White Coat on Patient Satisfaction in Indian Out Patient Department (OPD) Setting#1433286
- AXillary Surgery After NeoAdjuvant Treatment#1433288
- Evaluation of Myocardial Function by Global Longitudinal Strain (GLS) Measurement in 2D Echocardiography of Patients With Fibromyalgia#1433291
- A Multi-Centre, Prospective, Non-Interventional Study to Intensively Monitor the Safety of Osimertinib in Clinical Practice Among Chinese NSCLC Patients#1433294
Record · ID 1430951
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive