Symptom Clusters and Risk Factors of COVID-19 Patients

NCT05556707 | Completed DMC

• 1 other identifier: LY2022-003-B
• Study Type: observational
• Target: 384
• Locations: 1 country
• Sites: 1

Brief 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.

Conditions

COVID-19; Patient Discharge; Symptoms and Signs

Keywords

COVID-19; patient discharge; symptoms and signs; sensation; nervous system; emotions; respiratory system; pain; nursing assessment; disease management

Outcome Measures

Primary Outcomes (1)

• Post Discharge Experience Assessment Questionnaire for COVID-19 Patients and the Post Discharge Symptom Experience Risk Factor Questionnaire for COVID-19 Patients

  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.

  up to 20 weeks

Eligibility Criteria

• Age: 18 Years - 90 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

From March to May 2022, patients treated at Shanghai Xinguo Bo Makeshift Hospital and Renji Hospital, School of Medicine, Shanghai Jiaotong University, were selected as research participants.

You may qualify if:

• Patients infected with COVID-19 who have been discharged from the hospital and clearly aware and able to communicate normally.

You may not qualify if:

• Patients who have not recovered or are still in the makeshift hospitals and those who refused to participate in the follow-up survey.

Sponsors & Collaborators

• RenJi Hospital: lead

Study Sites (1)

Shanghai Jiaotong University School of Medicine, Renji Hospital

Shanghai, Shanghai Municipality, 200127, China

Location

MeSH Terms

Conditions

COVID-19; Signs and Symptoms; Neurologic Manifestations; Pain

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases; Pathological Conditions, Signs and Symptoms; Nervous System Diseases

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Target Duration: 3 Months
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 22, 2022
• First Posted: September 27, 2022
• Study Start: May 15, 2022
• Primary Completion: June 2, 2022
• Study Completion: June 2, 2022
• Last Updated: September 27, 2022

Record last verified: 2022-09

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)