Delirium in the Intensive Care Unit, Family, Patients in ICU
Conditions
Brief summary
The goal of this observational study is to learn whether family members can help identify signs of delirium in adult patients who are staying in the intensive care unit. Delirium is a sudden change in attention, thinking, or awareness that can happen during serious illness. The main question it aims to answer is: Can family members notice possible signs of delirium that may not be found during routine ICU delirium screening? Participants will receive their usual medical care. Family members who know the patient well will complete a short delirium assessment called the FAM-CAM after visiting the patient. Nurses will continue to perform routine ICU delirium screening using the ICDSC as part of usual care. The study team will compare the family member's assessment with the nurse's routine assessment to see whether family observations provide additional helpful information. Family members may complete the assessment for up to 3 days while the patient is in the ICU.
Interventions
None listed
Sponsors
Shanghai Zhongshan Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
Patients: * Aged 18 years or older. * Admitted to the ICU for at least 24 hours. * Richmond Agitation-Sedation Scale (RASS) score ≥ -3 at the time of enrollment. * Provided written informed consent to participate. When patients were unable to provide consent, consent was obtained from their legal surrogates. Family Members: * Aged 18 years or older. * Identified as the patient's primary family caregiver. * Had visited the patient in the ICU at least once. * Were able to understand and communicate in Mandarin. * Provided written informed consent and voluntarily agreed to participate.
Exclusion criteria
Patients: * Persistent coma or deep sedation throughout the ICU stay, defined as Glasgow Coma Scale (GCS) score ≤ 8 or RASS score of -4 or -5. * A previously confirmed diagnosis of dementia, a severe psychiatric disorder, or an organic neurological disease. * Severe hearing impairment that prevented effective communication or study participation. Family Members: -Significant visual, hearing, or cognitive problems that prevented them from understanding the study procedures or completing the study assessments.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Overall Agreement Among Family FAM-CAM, Nurse ICDSC, and Professional Research Staff CAM-ICU Assessments | once daily between 3:30 PM and 4:30 PM | This outcome will measure the level of agreement among the three assessment methods in the same patient and within the same general time frame.During the ICU phase, paired assessment data will be created according to the pairing rules described for the primary outcome. The results of FAM-CAM, ICDSC, and CAM-ICU will be classified as either "positive" or "negative."Agreement will be evaluated using Cohen's kappa coefficient as the main measure. The overall agreement rate, positive agreement rate, and negative agreement rate will also be reported as additional measures, together with 95% confidence intervals. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Effect of Older Age, Low Education Level, Language or Dialect Communication Barriers, and Family Members' Delirium Knowledge on Assessment Disagreement | once daily between 3:30 PM and 4:30 PM | This outcome measure will evaluate the effect of older age, defined as age 65 years or older; low education level, defined as primary school education or below; language or dialect communication barriers, recorded as present or absent; and family members' delirium knowledge questionnaire scores on disagreement among delirium assessments. Assessment disagreement is defined as inconsistent delirium classification among the family-completed FAM-CAM, nurse-completed ICDSC, and CAM-ICU completed by trained research staff in the same patient and within a similar assessment time frame. The study will compare the proportion of disagreement events across different subgroups and will use regression analysis to evaluate the strength of association between these factors and assessment disagreement. Results will be reported as odds ratios with 95% confidence intervals. |
Countries
China
Contacts
CONTACTShining Cai, PhD
Outcome results
None listed