Ecological momentary assessment for assessing depression in advanced dementia: a pilot study

2020 ◽  
Vol 21 (3) ◽  
pp. B30-B31
Author(s):  
Iulia Niculescu ◽  
Iulia Niculescu ◽  
Twinkle Arora ◽  
Hannah Quirt ◽  
Terry Borsook ◽  
...  
Keyword(s):  
Pilot Study ◽  
Ecological Momentary Assessment ◽  
Advanced Dementia ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study (Preprint)

2021 ◽  
Author(s):  
Iulia Niculescu ◽  
Hannah Quirt ◽  
Twinkle Arora ◽  
Terry Borsook ◽  
Robin Green ◽  
...  
Keyword(s):  
Pilot Study ◽  
Ecological Momentary Assessment ◽  
Interrater Reliability ◽  
Ecological Validity ◽  
Reliability And Validity ◽  
Clinical Depression ◽  
Advanced Dementia ◽  
Patient Reported ◽  
Ecological Momentary ◽  
Momentary Assessment

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 <i>lack of interest</i>. 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.

scholarly journals Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study

JMIR Aging ◽  
10.2196/29021 ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. e29021
Author(s):  
Iulia Niculescu ◽  
Hannah Quirt ◽  
Twinkle Arora ◽  
Terry Borsook ◽  
Robin Green ◽  
...  
Keyword(s):  
Pilot Study ◽  
Ecological Momentary Assessment ◽  
Interrater Reliability ◽  
Ecological Validity ◽  
Reliability And Validity ◽  
Clinical Depression ◽  
Advanced Dementia ◽  
Patient Reported ◽  
Ecological Momentary ◽  
Momentary Assessment

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.

ECOLOGICAL MOMENTARY ASSESSMENT FOR ASSESSING DEPRESSION IN ADVANCED DEMENTIA: A PILOT STUDY

2020 ◽  
Vol 28 (4) ◽  
pp. S120
Author(s):  
Iulia Niculescu ◽  
Hannah Quirt ◽  
Twinkle Arora ◽  
Robin Green ◽  
Brett Ford ◽  
...  
Keyword(s):  
Pilot Study ◽  
Ecological Momentary Assessment ◽  
Advanced Dementia ◽  
Ecological Momentary ◽  
Momentary Assessment

A Pilot Study of Subjective Daytime Alertness and Mood in Primary Insomnia Participants Using Ecological Momentary Assessment

2004 ◽  
Vol 2 (2) ◽  
pp. 113-131 ◽  
Author(s):  
Helena Levitt ◽  
Annette Wood ◽  
Douglas E. Moul ◽  
Martica Hall ◽  
Anne Germain ◽  
...  
Keyword(s):  
Pilot Study ◽  
Ecological Momentary Assessment ◽  
Primary Insomnia ◽  
Ecological Momentary ◽  
Momentary Assessment

App-Based Ecological Momentary Assessment to Enhance Clinical Care for Postpartum Depression: Pilot Study (Preprint)

2021 ◽  
Author(s):  
Holly Krohn ◽  
Jerry Guintivano ◽  
Rachel Frische ◽  
Jamie Steed ◽  
Hannah Rackers ◽  
...  
Keyword(s):  
Pilot Study ◽  
Postpartum Depression ◽  
Ecological Momentary Assessment ◽  
Clinical Care ◽  
Mobile App ◽  
Physiological Data ◽  
Activity Data ◽  
Care Access ◽  
Ecological Momentary ◽  
Momentary Assessment

BACKGROUND Wearable tracking devices and mobile health technology are increasingly used in an effort to enhance clinical care and delivery of personalized medical treatment. Postpartum depression is the most frequently diagnosed complication of childbirth but significant gaps in screening and treatment remain. OBJECTIVE We investigated the clinical utility and acceptability of using ecological momentary assessment to collect daily mood, sleep, and activity data through the use of an Apple Watch and mobile app among women with postpartum depression. METHODS This was a pilot study consisting of three in-person research visits over the course of a 6-week enrollment period. Questionnaires to assess depression, anxiety, and maternal functioning were periodically collected, along with daily self-reported symptoms and passively collected physiological data via an Apple Watch. Feedback was collected from study participants and the study clinician to determine the utility and acceptability of daily tracking. Compliance with daily ecological momentary assessments was also measured. RESULTS Of the 26 women enrolled, 23 completed the 6-week study. On average, participants completed 66.7% of all active daily assessments and 73.9% of all passive measures. Further, all 23 participants completed the three required visits with the research team. CONCLUSIONS Using ecological momentary assessment to track daily symptoms of postpartum depression with a wearable device was largely endorsed as feasible, acceptable and clinically useful by participants and the study clinician and could be a innovative solution to increase care access during the COVID-19 pandemic.

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