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Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study
BACKGROUND: Barriers to assessing depression in advanced dementia include the presence of informant and patient recall biases. Ecological momentary assessment provides an improved approach for mood assessment by collecting observations in intervals throughout the day, decreasing recall bias, and inc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374663/ https://www.ncbi.nlm.nih.gov/pubmed/34346884 http://dx.doi.org/10.2196/29021 |
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author | Niculescu, Iulia Quirt, Hannah Arora, Twinkle Borsook, Terry Green, Robin Ford, Brett Iaboni, Andrea |
author_facet | Niculescu, Iulia Quirt, Hannah Arora, Twinkle Borsook, Terry Green, Robin Ford, Brett Iaboni, Andrea |
author_sort | Niculescu, Iulia |
collection | PubMed |
description | BACKGROUND: Barriers to assessing depression in advanced dementia include the presence of informant and patient recall biases. Ecological momentary assessment provides an improved approach for mood assessment by collecting observations in intervals throughout the day, decreasing recall bias, and increasing ecological validity. OBJECTIVE: This study aims to evaluate the feasibility, reliability, and validity of the modified 4-item Cornell Scale for Depression in Dementia for Momentary Assessment (mCSDD4-MA) tool to assess depression in patients with advanced dementia. METHODS: A intensive longitudinal pilot study design was used. A total of 12 participants with advanced dementia were enrolled from an inpatient psychogeriatric unit. Participants were assessed using clinical depression assessments at admission and discharge. Research staff recorded observations four times a day for 6 weeks on phones with access to the mCSDD4-MA tool. Descriptive data related to feasibility were reported (ie, completion rates). Statistical models were used to examine the interrater reliability and construct and predictive validity of the data. RESULTS: Overall, 1923 observations were completed, representing 55.06% (1923/3496) of all rating opportunities with 2 raters and 66.01% (1923/2913) with at least one rater. Moderate interrater reliability was demonstrated for all items, except for lack of interest. Moderate correlations were observed between observers and patient-reported outcomes, where observers reported fewer symptoms relative to participants’ self-reports. Several items were associated with and able to predict depression. CONCLUSIONS: The mCSDD4-MA tool was feasible to use, and most items in the tool showed moderate reliability and validity for assessing depression in dementia. Repeated and real-time depression assessment in advanced dementia holds promise for the identification of clinical depression and depressive symptoms. |
format | Online Article Text |
id | pubmed-8374663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-83746632021-08-24 Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study Niculescu, Iulia Quirt, Hannah Arora, Twinkle Borsook, Terry Green, Robin Ford, Brett Iaboni, Andrea JMIR Aging Original Paper BACKGROUND: Barriers to assessing depression in advanced dementia include the presence of informant and patient recall biases. Ecological momentary assessment provides an improved approach for mood assessment by collecting observations in intervals throughout the day, decreasing recall bias, and increasing ecological validity. OBJECTIVE: This study aims to evaluate the feasibility, reliability, and validity of the modified 4-item Cornell Scale for Depression in Dementia for Momentary Assessment (mCSDD4-MA) tool to assess depression in patients with advanced dementia. METHODS: A intensive longitudinal pilot study design was used. A total of 12 participants with advanced dementia were enrolled from an inpatient psychogeriatric unit. Participants were assessed using clinical depression assessments at admission and discharge. Research staff recorded observations four times a day for 6 weeks on phones with access to the mCSDD4-MA tool. Descriptive data related to feasibility were reported (ie, completion rates). Statistical models were used to examine the interrater reliability and construct and predictive validity of the data. RESULTS: Overall, 1923 observations were completed, representing 55.06% (1923/3496) of all rating opportunities with 2 raters and 66.01% (1923/2913) with at least one rater. Moderate interrater reliability was demonstrated for all items, except for lack of interest. Moderate correlations were observed between observers and patient-reported outcomes, where observers reported fewer symptoms relative to participants’ self-reports. Several items were associated with and able to predict depression. CONCLUSIONS: The mCSDD4-MA tool was feasible to use, and most items in the tool showed moderate reliability and validity for assessing depression in dementia. Repeated and real-time depression assessment in advanced dementia holds promise for the identification of clinical depression and depressive symptoms. JMIR Publications 2021-08-04 /pmc/articles/PMC8374663/ /pubmed/34346884 http://dx.doi.org/10.2196/29021 Text en ©Iulia Niculescu, Hannah Quirt, Twinkle Arora, Terry Borsook, Robin Green, Brett Ford, Andrea Iaboni. Originally published in JMIR Aging (https://aging.jmir.org), 04.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Niculescu, Iulia Quirt, Hannah Arora, Twinkle Borsook, Terry Green, Robin Ford, Brett Iaboni, Andrea Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title | Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title_full | Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title_fullStr | Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title_full_unstemmed | Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title_short | Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study |
title_sort | ecological momentary assessment of depression in people with advanced dementia: longitudinal pilot study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374663/ https://www.ncbi.nlm.nih.gov/pubmed/34346884 http://dx.doi.org/10.2196/29021 |
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