Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

The Chinese Version of the American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form Questionnaire, Patient Self-report Section: A Cross-cultural Adaptation and Validation Study

National Cheng-Kung University Hospital · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
Open Source ↗
Background: The patient self-report section of the American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASESp) is one of the most validated and reliable assessment tools. This study aimed to establish a validated Chinese version of ASESp (ASESp-CH). Methods: A clinical prospective study was performed. Following the guidelines of forward-backward translation and cross-cultural adaptation, a Chinese version of ASESp was established. Patients older than 18 years with shoulder disorders were included. Patients who could not complete test-retest questionnaires within the interval of 7-30 days and patients who received interventions were excluded. Intraclass correlation (ICC) was calculated for test- retest reliability, whereas internal consistency was determined by Cronbach value. Construct validity was evaluated by comparing the corresponding domains between the ASESp-CH and a validated Chinese version of 36-Item Short Form Health Survey (SF-36).
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

Record · ID 807043
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