Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05556707 |
Other study ID # |
LY2022-003-B |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
May 15, 2022 |
Est. completion date |
June 2, 2022 |
Study information
Verified date |
September 2022 |
Source |
RenJi Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational [Patient Registry]
|
Clinical Trial Summary
Aim and objectives: To clarify the types, composition, distribution characteristics and risk
factors of symptom clusters experienced by discharged patients with COVID-19, to lay the
foundation for effective symptom management.
Background: Even when patients recover from COVID-19 patients, the virus can still cause many
long-term effects or complications.Therefore, it is crucial to assess the symptoms and
influencing factors of discharged patients with COVID-19.
Design: Cross-sectional survey. Methods:The investigators used the Post Discharge Experience
Assessment Questionnaire for COVID-19 Patients and the Post Discharge Symptom Experience Risk
Factor Questionnaire for COVID-19 Patients were used.Stratified random sampling was used to
conduct a cross-sectional survey of 384 patients in recovery from COVID-19.Exploratory factor
analysis was used to determine the cluster of symptoms, and a binary logistic regression
analysis was used to identify the risk factors associated with this symptom cluster.
Description:
1. A Symptom Experience Assessment Questionnaire for COVID-19 patients after recovery; a
self-designed symptom assessment tool. The questionnaire takes the Symptom Experience
Model (Armstrong et al., 2003) as the theoretical framework, and combines it with a
systematic review of COVID-19 symptoms of patients in recovery to form the entry pool.
The questionnaire included twenty-four symptoms, and each symptom included three
dimensions: frequency, severity, and distress. Each dimension was scored using Likert
scales. Taking frequency as an example, zero represents "never happened" and 4
represents "always existed". Cronbach's α coefficient: 0.953, split half reliability:
0.949; KMO: 0.842; (Bartlett's Test of Sphericity) Sig is 0.
2. A questionnaire on risk factors of symptom experience of COVID-19 patients after
recovery: a self-designed survey tool.The questionnaire is based on the Symptom
Experience Model. In this model, sociodemographic characteristics, disease-related
characteristics, and personal characteristics are taken to be the leading factors of
symptom experience, and three factors jointly mediate the occurrence and development of
symptom experience. Based on this, combined with the results of the literature analysis
and the clinical experience in our team, the investigators developed a questionnaire on
the factors that influence the experience of symptoms in COVID-19 patients after
recovery This included three parts, (a) sociodemographic characteristics (age, marital
status, educational background) (b) disease-related characteristics (length of
hospitalization, days following discharge, retesting positive for COVID-19, chronic
disease) (c) individual factors (the main ways of acquiring knowledge of COVID-19,
authenticity of optimism, the degree to which work is affected by symptoms, satisfaction
with daily life). Each item was scored by the Likert 5-level scoring method, with zero
representing "never" and 4 representing "always".