Detecting Delirium in Older People: The Development of a New Web-Based Tool for Family Caregivers

OBJECTIVE Delirium is a common yet under-recognized neuropsychiatric condition in older adults. In Thailand, many family caregivers lack accessible tools that can help them identify this condition at home. This study aimed to develop and evaluate a bilingual, web-based tool, “delirium-detect,” to support early delirium detection by non-professional caregivers. METHODS This research and development study involved literature reviews, expert interviews, key informant input, and focus group discussions to design a 22-item symptom checklist available in both Thai and English and in desktop and mobile formats. A pretest (n = 17) and a pilot test (n = 11) were conducted with family caregivers of hospitalized older adults diagnosed with delirium. Tool feasibility and user satisfaction were as-sessed using descriptive analysis. RESULTS Expert reviews confirmed strong content validity (CVI = 1.00). All pilot participants met DSM-5 criteria for delirium using the tool, supporting its criterion validity. The average time to complete the questionnaire was 9.09 minutes. User feedback indicated high satisfaction: 54.5% “liked” and 18.2% “strongly liked” the tool, while 72.8% found it easy or extremely easy to use. CONCLUSIONS The “delirium-detect” tool demonstrated preliminary validity, practicality, and user-friendliness, supporting its potential for early delirium detection by family caregivers. Further validation in larger and more diverse populations is recommended to enhance generalizability. KEYWORDS delirium, family caregiver, web-based tool, older adults

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Publication Details

Journal
Biomedical Sciences and Clinical Medicine
Published
2025-09-01
DOI
https://doi.org/10.12982/bscm.2025.31
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Detecting Delirium in Older People: The Development of a New Web-Based Tool for Family Caregivers

Joshua Tsoh, Nahathai Wongpakaran, Phuanjai Rattakorn, Decha Tamdee et al.
Biomedical Sciences and Clinical Medicine
Intensive Care Unit Cognitive Disorders
article

Detecting Delirium in Older People: The Development of a New Web-Based Tool for Family Caregivers

Joshua Tsoh, Nahathai Wongpakaran, Phuanjai Rattakorn, Decha Tamdee, Tinakon Wongpakaran, Jiayi Hou
article en

Abstract

OBJECTIVE Delirium is a common yet under-recognized neuropsychiatric condition in older adults. In Thailand, many family caregivers lack accessible tools that can help them identify this condition at home. This study aimed to develop and evaluate a bilingual, web-based tool, “delirium-detect,” to support early delirium detection by non-professional caregivers. METHODS This research and development study involved literature reviews, expert interviews, key informant input, and focus group discussions to design a 22-item symptom checklist available in both Thai and English and in desktop and mobile formats. A pretest (n = 17) and a pilot test (n = 11) were conducted with family caregivers of hospitalized older adults diagnosed with delirium. Tool feasibility and user satisfaction were as-sessed using descriptive analysis. RESULTS Expert reviews confirmed strong content validity (CVI = 1.00). All pilot participants met DSM-5 criteria for delirium using the tool, supporting its criterion validity. The average time to complete the questionnaire was 9.09 minutes. User feedback indicated high satisfaction: 54.5% “liked” and 18.2% “strongly liked” the tool, while 72.8% found it easy or extremely easy to use. CONCLUSIONS The “delirium-detect” tool demonstrated preliminary validity, practicality, and user-friendliness, supporting its potential for early delirium detection by family caregivers. Further validation in larger and more diverse populations is recommended to enhance generalizability. KEYWORDS delirium, family caregiver, web-based tool, older adults

Biomedical Sciences and Clinical MedicineVol. 64(4)
Prince of Wales Hospital (CN), Chiang Mai University (TH)
Chiang Mai University, Faculty of Medicine, Chiang Mai University
Openalex Percentile: Top 71%
Intensive Care Unit Cognitive Disorders
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