TY - JOUR
T1 - A Proof of Concept Study on Individual Trends in Suicidal Ideation
T2 - An Ecological Momentary Assessment Study of 5 Patients Over Three Months
AU - Nuij, Chani
AU - van Ballegooijen, Wouter
AU - Smit, Arnout C.
AU - de Beurs, Derek
AU - de Winter, Remco F. P.
AU - O’connor, Rory C.
AU - Kerkhof, Ad
AU - Smit, Jan H.
AU - Riper, Heleen
N1 - Publisher Copyright: © 2023, Lundh Research Foundation. All rights reserved.
PY - 2023/6/19
Y1 - 2023/6/19
N2 - Background: Suicidal ideation (SI) is a significant and long-lasting mental health problem, with a third of individuals still experiencing SI after two years. To date, most Ecological Momentary Assessment (EMA) studies of SI have assessed its day-to-day course over one to four consecutive weeks and found no consistent trends in average SI severity over time. Aim: The current proof of concept study assessed daily fluctuations of SI over a time span of 3 to 6 months to explore whether individual trends in SI severity could be detected, and if so, if the trajectory of changes were gradual or sudden. The secondary aim was to explore whether changes in SI severity could be detected at an early stage. Method: Five adult outpatients with depression and SI used an EMA app on their smartphone in addition to their regular treatment for 3 to 6 months, where SI was assessed 3 times a day. To detect trends in SI for each patient, three models were tested: a null model, a gradual change model and a sudden change model. To detect changes in SI before a new plateau was reached, Early Warning Signals and Expo-nentially Weighted Moving Average control charts were used. Results: In each patient, average SI severity had a unique trajectory of sudden and/or gradual changes. Additionally, in some patients, increases in both sudden and gradual SI could be detected at an early stage. Conclusions: The study presents a first indication of unique individual trends in SI severity over a 3 to 6 months period. Though replication in a larger sample is needed to test how well results generalize, a first proof-of-concept is provided that both sudden and gradual changes in SI severity may be detectable at an early stage using the dynamics of time-series data.
AB - Background: Suicidal ideation (SI) is a significant and long-lasting mental health problem, with a third of individuals still experiencing SI after two years. To date, most Ecological Momentary Assessment (EMA) studies of SI have assessed its day-to-day course over one to four consecutive weeks and found no consistent trends in average SI severity over time. Aim: The current proof of concept study assessed daily fluctuations of SI over a time span of 3 to 6 months to explore whether individual trends in SI severity could be detected, and if so, if the trajectory of changes were gradual or sudden. The secondary aim was to explore whether changes in SI severity could be detected at an early stage. Method: Five adult outpatients with depression and SI used an EMA app on their smartphone in addition to their regular treatment for 3 to 6 months, where SI was assessed 3 times a day. To detect trends in SI for each patient, three models were tested: a null model, a gradual change model and a sudden change model. To detect changes in SI before a new plateau was reached, Early Warning Signals and Expo-nentially Weighted Moving Average control charts were used. Results: In each patient, average SI severity had a unique trajectory of sudden and/or gradual changes. Additionally, in some patients, increases in both sudden and gradual SI could be detected at an early stage. Conclusions: The study presents a first indication of unique individual trends in SI severity over a 3 to 6 months period. Though replication in a larger sample is needed to test how well results generalize, a first proof-of-concept is provided that both sudden and gradual changes in SI severity may be detectable at an early stage using the dynamics of time-series data.
KW - Suicide
KW - complex systems
KW - early warning signals
KW - ecological momentary assessment
KW - experience sampling methods
KW - time-series analyses
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163385875&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/37389029
UR - http://www.scopus.com/inward/record.url?scp=85163385875&partnerID=8YFLogxK
U2 - https://doi.org/10.17505/jpor.2023.25265
DO - https://doi.org/10.17505/jpor.2023.25265
M3 - Article
C2 - 37389029
SN - 2002-0244
VL - 9
SP - 42
EP - 50
JO - Journal for Person-Oriented Research
JF - Journal for Person-Oriented Research
IS - 1
ER -