Research in Partial Hospital Settings

Forgeard, Marie; Beard, Courtney; Kirakosian, Norik; Björgvinsson, Thröstur

doi:10.4324/9781315524610-12

Cited by 17 publications

(13 citation statements)

References 1 publication

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“…Treatment is tailored to the needs of each individual patient. Depending on symptom presentation, treatment may primarily focus on CBT or DBT skills, but most commonly integrates components of both modalities (for a review of the treatment approach, see Forgeard, Beard, Kirakosian, & Björgvinsson, 2018). Participants in this study received an average of 10.1 treatment days ( s.d.…”

Section: Methodsmentioning

confidence: 99%

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: Methodsmentioning

confidence: 99%

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

et al. 2020

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“…Participants included 322 patients receiving treatment at a partial hospitalization program (PHP) located in a nonprofit, insurance-based, academic psychiatric hospital in New England from September 2017 to March 2018. The PHP treats English-speaking adults (≥18 years) with a broad range of psychiatric disorders [19]. Participants were on average in young-to-middle adulthood (mean 33.49, SD 13.87 years), female (57%), and predominantly white (89%).…”

Section: Methodsmentioning

confidence: 99%

Smartphone, Social Media, and Mental Health App Use in an Acute Transdiagnostic Psychiatric Sample

Beard¹,

Silverman²,

Forgeard³

et al. 2019

JMIR Mhealth Uhealth

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Background Despite high rates of smartphone ownership in psychiatric populations, there are very little data available characterizing smartphone use in individuals with mental illness. In particular, few studies have examined the interest and use of smartphones to support mental health. Objective This study aimed to (1) characterize general smartphone app and social media usage in an acute transdiagnostic psychiatric sample with high smartphone ownership, (2) characterize current engagement and interest in the use of smartphone apps to support mental health, and (3) test demographic and clinical predictors of smartphone use. Methods The survey was completed by all patients attending an adult partial hospital program, with no exclusion criteria. The primary outcomes were frequency of use of general and mental health smartphone apps (smartphone use survey) and the frequency of social media use and phone-checking behavior (mobile technology engagement scale). Results Overall, 322 patients (aged mean 33.49, SD 13.87 years; 57% female) reported that their most frequently used app functions were texting, email, and social media. Younger individuals reported more frequent use across most types of apps. Baseline depression and anxiety symptoms were not associated with the frequency of app use. Participants reported health care, calendar, and texting apps as most supportive of their mental health and social media apps as most negatively affecting their mental health. Most patients reported an interest in (73.9% [238/322]) and willingness to use (81.3% [262/322]) a smartphone app to monitor their mental health condition. Less than half (44%) of the patients currently had a mental health app downloaded on their smartphone, with mindfulness and meditation apps being the most common type. Conclusions The high interest in and willingness to use mental health apps, paired with the only moderate current reported usage, indicate a potential unmet treatment opportunity in psychiatric populations. There is potential to optimize non-mental health–specific apps to better support the needs of those with mental illness and to design a new wave of mental health apps that match the needs of these populations as well as the way they use smartphones in daily life.

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“…All patients attended up to five 50-min group sessions per day. Most of these sessions were based on empirically supported interventions (for details on the treatment approach, see Forgeard, Beard, Kirakosian, & Björgvinsson, 2018). For example, several groups were based on dialectical behavior therapy and covered distress tolerance, emotion regulation, and interpersonal effectiveness.…”

Section: Methodsmentioning

confidence: 99%

A Higher Order Internalizing Dimension Predicts Response to Partial Hospitalization Treatment

Conway

Snorrason

Beard

et al. 2021

Clinical Psychological Science

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Mental disorders may be best represented by dimensional constructs that span traditional diagnostic boundaries. There is evidence that empirically derived dimensional phenotypes improve nosology and etiological research, but less is known about their clinical utility. We compared dimensional and categorical representations of anxiety and depression as predictors of response to psychological treatment in a large patient sample ( N = 3,760). Confirmatory factor analysis demonstrated that an internalizing factor—hypothesized to be the substrate of anxiety and depression—explained correlations among interview-based diagnoses at treatment outset. The internalizing factor had consistent, albeit sometimes modest, prospective associations with all treatment outcome measures: global clinical improvement, anxiety and depression symptoms, and need for inpatient hospitalization (standardized effect range = .13–.43). Categorical diagnoses—except major depression—did not reliably predict treatment outcome after adjusting for the higher order internalizing dimension. We conclude that reorienting clinical assessment around transdiagnostic phenotypes might enhance prognosis and other aspects of clinical decision-making.

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Research in Partial Hospital Settings

Cited by 17 publications

References 1 publication

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

Smartphone, Social Media, and Mental Health App Use in an Acute Transdiagnostic Psychiatric Sample

A Higher Order Internalizing Dimension Predicts Response to Partial Hospitalization Treatment

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