Ecologically assessed affect and suicidal ideation following psychiatric inpatient hospitalization

Armey, Michael F.; Brick, Leslie A.; Schatten, Heather T.; Nugent, Nicole R.; Miller, Ivan W.

doi:10.1016/j.genhosppsych.2018.09.008

Cited by 30 publications

(41 citation statements)

References 66 publications

(69 reference statements)

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“…Furthermore, rates of survey completion were modest though comparable to previous reports in similar samples (e.g. Armey, Brick, Schatten, Nugent, & Miller, 2018). Second, the brief assessments used in this study could not capture important variables (e.g.…”

Section: Discussionsupporting

confidence: 81%

Predictors of affect following discharge from partial hospitalization: a two-week ecological momentary assessment study

et al. 2020

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Background Little is known about the everyday experiences of individuals transitioning from acute to outpatient psychiatric care, an important period of risk for mood symptom relapse. This study used ecological momentary assessment (EMA) to examine whether specific daily experiences were related to momentary affective states following discharge from a partial hospitalization program (PHP). Methods A sample of 114 adults (Mage = 36 years old, 52% female, 83% White) completed four brief EMA surveys every day for 2 weeks assessing intensity/type of stressful events and social contact, as well as positive/negative affect (PA/NA). Half of participants reported therapeutic skills use. Results Stress severity ratings prospectively predicted increased NA. NA predicted spending less time with close relationships. However, interacting with close relationships predicted increased positive affect (PA). Finally, PA predicted spending time with more people. The use of two skills (behavioral activation and interpersonal effectiveness) was concurrently, but not prospectively, associated with improved affect. Conclusions Examining daily experiences of individuals discharging from partial hospitalization provides important information about factors that may influence affective states during the transition from acute to outpatient care. Findings from this study can be used to help prepare patients for discharge and develop interventions for the post-acute period.

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Section: Discussionsupporting

confidence: 81%

Predictors of affect following discharge from partial hospitalization: a two-week ecological momentary assessment study

et al. 2020

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“…We then train a model to accurately predict a set of emotion measures, despite restrictive real-world conditions and small amounts of data. These measures were found to be indicative of suicidal ideation in prior work [13]. Finally, we show how emotion predicted from speech can be used to separate healthy controls from those with recent suicidal ideation.…”

Section: Introductionmentioning

confidence: 55%

“…In these surveys, participants were asked to report on their current affect, using items from the Positive and Negative Affect Schedule (PANAS-X) [16]. Affect was rated on a five point Likert Scale for 11 different categories, which are divided into three groups, based on previous work [13]. The three groups are: (1) Positive Emotion -Confident, Excited, Happy; (2) Negative Emotion -Sad, Guilty, Worried, Shame, Hopeless; (3) Anger/Irritability -Anger at Others, Anger at Self, and Irritable.…”

Section: The Emass Datasetmentioning

confidence: 99%

“…Suicidal ideation is also related to the manner in which emotion is expressed and prior work has examined this link [11,12]. Self-reports of momentary suicidal ideation have been strongly associated with negative affect among psychiatric inpatients [13]. By first detecting emotional variations from speech, it may be possible to use emotion as a predictor of suicide.…”

Section: Introductionmentioning

confidence: 99%

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Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation

et al. 2019

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Suicide is a serious public health concern in the U.S., taking the lives of over 47,000 people in 2017. Early detection of suicidal ideation is key to prevention. One promising approach to symptom monitoring is suicidal speech prediction, as speech can be passively collected and may indicate changes in risk. However, directly identifying suicidal speech is difficult, as characteristics of speech can vary rapidly compared with suicidal thoughts. Suicidal ideation is also associated with emotion dysregulation. Therefore, in this work, we focus on the detection of emotion from speech and its relation to suicide. We introduce the Ecological Measurement of Affect, Speech, and Suicide (EMASS) dataset, which contains phone call recordings of individuals recently discharged from the hospital following admission for suicidal ideation or behavior, along with controls. Participants selfreport their emotion periodically throughout the study. However, the dataset is relatively small and has uncertain labels. Because of this, we find that most features traditionally used for emotion classification fail. We demonstrate how outside emotion datasets can be used to generate more relevant features, making this analysis possible. Finally, we use emotion predictions to differentiate healthy controls from those with suicidal ideation, providing evidence for suicidal speech detection using emotion.

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“…This capacity permits the characterization of suicidal phenotypes (18) distinguished by temporal variability (e.g., ideation chronicity versus lability; cyclicity (140)). Moreover, its naturalistic administration facilitates examination of the complex interplay between proximal factors as suicidality evolves (141,142).…”

Section: Intensive Proximal Risk Samplingmentioning

confidence: 99%

Translating Interventional Neuroscience to Suicide: It’s About Time

Barredo

Bozzay

Primack

et al. 2021

Biological Psychiatry

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Ecologically assessed affect and suicidal ideation following psychiatric inpatient hospitalization

Cited by 30 publications

References 66 publications

Predictors of affect following discharge from partial hospitalization: a two-week ecological momentary assessment study

Predictors of affect following discharge from partial hospitalization: a two-week ecological momentary assessment study

Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation

Translating Interventional Neuroscience to Suicide: It’s About Time

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