Psychological Symptoms and Burden in Caregivers of Patients With Disorders of Consciousness

August 23, 2023 updated by: Haibo Di, Hangzhou Normal University
Caregivers of patients with disorders of consciousness are highly prone to developing mental health issues. The aim of this study is to investigate the psychological symptoms and care burden of caregivers of patients with disorders of consciousness (DoC), and to examine which characteristics of patients were burden predictors to caregivers.

Study Overview

Detailed Description

This is a multi-center cross-sectional study in China, from August 2021 to October 2022. Patients were assessed by Coma Recovery Scale-Revised (CRS-R), and caregivers' anxiety, depression, and burden were assessed by State-Trait Anxiety Inventory Form Y (STAI), Beck Depression Inventory-II (BDI- II), and Zarit Caregiver Burden scale (ZBI). The comparison with patients' age and caregivers' age-matched subjects who were randomly selected and without DoC; intra-group comparison of caregivers for DoC was conducted. Descriptive statistics were used to illustrate the socio-demographics. One-sample t-test, independent sample t-test, one-way ANOVA, Mann-Whitney U test, and Kruskal-Wallis test were executed to detect the difference between groups due to the distribution of each variable.

Study Type

Observational

Enrollment (Actual)

256

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Zhejiang
      • Hangzhou, Zhejiang, China
        • International Vegetative State and Consciousness Science Institute, Hangzhou Normal University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

Caregivers of patients with DoC and other diseases

Description

Inclusion Criteria:

- (1) Family caregivers without neurological, mental health, or learning disability history.

(2) Family caregiver with consciousness and capability of independently completing questionnaires.

Exclusion criteria:

  1. Caregivers unwilling to participate
  2. Not the dominant caregivers

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Experimental Group
Caregivers of patients with disorders of consciousness, including Coma, Unresponsive Wakefulness Syndrome (UWS), and Minimally Consciousness State (MCS). And caregivers of patients emerge from the minimally conscious state (EMCS)
Sent questionnaires to caregivers and used CRS-R to assess patients with DoC
Other Names:
  • Coma Recovery Scale-Revised (CRS-R)
Control group
caregivers of patients with other disease
Sent questionnaires to caregivers and used CRS-R to assess patients with DoC
Other Names:
  • Coma Recovery Scale-Revised (CRS-R)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The prevalence of anxiety in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We use the State-Trait Anxiety Inventory Form Y (STAI-Y) to assess the prevalence and severity degree of anxiety for caregivers of patients with disorders of consciousness (DoC)

STAI was a self-rating scale, consisting of 40 items and divided into two subscales: 1) state anxiety (S-AI) scale includes questions 1-20, state anxiety shows the transitory unpleasant. 2) trait anxiety (T-AI) scale includes questions 21-40, trait anxiety tends to the personality trait. The cumulative score values of state anxiety and trait anxiety scales were calculated respectively, the minimum to maximum value was from 20 to 80, the higher scores mean a worse outcome.

Within 1 days
The prevalence and severity degree of depression in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We use the Beck Depression Inventory-II (BDI-II) to assess the prevalence and severity degree of depression for caregivers of patients with disorders of consciousness (DoC)

BDI total score: 0-13 as no depression, 14-19 as mild depression, 20-28 as medium depression, and 29-63 as severe depression.

Within 1 days
The prevalence and severity degree of burden in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We use the Zarit Caregiver Burden Scale (ZBI) to assess the prevalence and severity degree of burden for caregivers of patients with disorders of consciousness (DoC)

ZBI total score: 0-20 indicates no burden, 21-40 mild burden, 41-60 moderate burden, and 61-88 severe burden.

Within 1 days
The predictors of anxiety in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We choose a series of questionnaires to figure out: what are the characteristics of patients and caregivers were caregivers' anxiety predictors?

The questionnaires include social-demographic questionnaires (including personal information of patients and caregivers e.g., age, gender, etiology, diagnosis, and so on, to record their basic information) and the State-Trait Anxiety Inventory Form Y (STAI-Y).

We used the Independent-sample T-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis test, and Pearson Correlation to calculate the correlation between the characteristics of patients and caregivers and caregivers' anxiety.

Within 1 days
The predictors of depression in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We choose a series of questionnaires to figure out:

(1) What are the characteristics of patients and caregivers were caregivers' depression predictors?

The questionnaires include social-demographic questionnaires (including personal information of patients and caregivers e.g., age, gender, etiology, diagnosis, and so on, to record their basic information), and the Beck Depression Inventory-II (BDI-II).

We used the Independent-sample T-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis test, and Pearson Correlation to calculate the correlation between the characteristics of patients and caregivers and caregivers' depression.

Within 1 days
The predictors of burden in caregivers of patients with disorders of consciousness.
Time Frame: Within 1 days

We choose a series of questionnaires to figure out:

(1) What are the characteristics of patients and caregivers were caregivers' burden predictors?

The questionnaires include social-demographic questionnaires (including personal information of patients and caregivers e.g., age, gender, etiology, diagnosis, and so on, to record their basic information), and the Zarit Caregiver Burden Scale (ZBI).

We used the Independent-sample T-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis test, and Pearson Correlation to calculate the correlation between the characteristics of patients and caregivers and caregivers' burden.

Within 1 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The diagnoses of patients with disorders of consciousness (DoC)
Time Frame: Within 10 days
The DoC patients were evaluated 3-5 times Coma Recovery Scale-Revised (CRS-R) within 10 days after questionnaire distribution to determine their current state of consciousness.
Within 10 days
The relationship between patient diagnoses and caregivers' anxiety
Time Frame: Within 1 days

We compare patient diagnoses (assessed by Coma Recovery Scale-Revised (CRS-R) ) and caregivers' anxiety (assessed by the State-Trait Anxiety Inventory Form Y (STAI-Y) )

We used the one-way ANOVA to calculate the relationship between patient diagnoses and caregivers' anxiety.

Within 1 days
The relationship between patient diagnoses and caregivers' depression
Time Frame: Within 1 days

We compare patient diagnoses (assessed by Coma Recovery Scale-Revised (CRS-R) ) and caregivers' depression (assessed by the Beck Depression Inventory-II (BDI-II) )

We used the one-way ANOVA to calculate the relationship between patient diagnoses and caregivers' depression.

Within 1 days
The relationship between patient diagnoses and caregivers' burden
Time Frame: Within 1 days

We compare patient diagnoses (assessed by Coma Recovery Scale-Revised (CRS-R) ) and caregivers' depression (assessed by the Zarit Caregiver Burden Scale (ZBI) )

We used the one-way ANOVA to calculate the relationship between patient diagnoses and caregivers' burden.

Within 1 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Hao YA Wang, Hangzhou Normal University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2021

Primary Completion (Actual)

October 31, 2022

Study Completion (Actual)

October 31, 2022

Study Registration Dates

First Submitted

August 15, 2023

First Submitted That Met QC Criteria

August 23, 2023

First Posted (Actual)

August 28, 2023

Study Record Updates

Last Update Posted (Actual)

August 28, 2023

Last Update Submitted That Met QC Criteria

August 23, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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