Longitudinal determinants of client treatment satisfaction in an intensive first‐episode psychosis treatment programme

Cruz, Lisa N.; Kline, Emily; Seidman, Larry J.; Minor, Kyle S.; Meyer, Eric C.; Iati, Carina A.; Zimmet, Suzanna V.; Friedman‐Yakoobian, Michelle

doi:10.1111/eip.12323

Cited by 9 publications

(4 citation statements)

References 51 publications

(84 reference statements)

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“…Once included in the study, individuals were randomized to a double-blind 6-month treatment with either ω−3 PUFA or placebo, and were then followed up for further 6 months, yielding a total follow-up period of 12 months ( McGorry et al, 2017 ; Nelson et al, 2018 ). Specific inclusion and exclusion criteria are detailed in previous publications ( Cruz et al, 2017 ) and yielded an overall sample of 304 individuals.…”

Section: Methodsmentioning

confidence: 99%

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Sandini

Zöller

Schneider

et al. 2021

eLife

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Causal interactions between specific psychiatric symptoms could contribute to the heterogenous clinical trajectories observed in early psychopathology. Current diagnostic approaches merge clinical manifestations that co-occur across subjects and could significantly hinder our understanding of clinical pathways connecting individual symptoms. Network analysis techniques have emerged as alternative approaches that could help shed light on the complex dynamics of early psychopathology. The present study attempts to address the two main limitations that have in our opinion hindered the application of network approaches in the clinical setting. Firstly, we show that a multi-layer network analysis approach, can move beyond a static view of psychopathology, by providing an intuitive characterization of the role of specific symptoms in contributing to clinical trajectories over time. Secondly, we show that a Graph-Signal-Processing approach, can exploit knowledge of longitudinal interactions between symptoms, to predict clinical trajectories at the level of the individual. We test our approaches in two independent samples of individuals with genetic and clinical vulnerability for developing psychosis. Novel network approaches can allow to embrace the dynamic complexity of early psychopathology and help pave the way towards a more a personalized approach to clinical care.

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Section: Methodsmentioning

confidence: 99%

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Sandini

Zöller

Schneider

et al. 2021

eLife

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“…A specific instrument (the Self-Efficacy Health [SEH] scale) that measures self-efficacy in situations of health has even been created [ 17 ]. The relation of healthcare consumption with personality variables has also been studied, especially with the Zimbardo Time Paradox Inventory [ 18 ], Derogatis’ Symptom Check-List [ 19 , 20 , 21 , 22 ], through the locus of control or internalization-externalization [ 23 , 24 , 25 , 26 ], as well as through psychological reactance [ 27 , 28 , 29 , 30 , 31 ], or coping [ 32 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Personality Variables as Predictors of Health Services Consumption

Taboada-Vázquez

Rodríguez

Crego

et al. 2021

IJERPH

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Expenditure on healthcare and services can be a serious problem for public health. Personality variables should be included as indicators to be considered when studying the consumption of health resources and their planning. This study aims to identify the psychological and psychosocial variables that identify people who can be considered high consumers of health resources versus those who barely consume such resources. The sample was made up of a total of 1124 subjects; one half were men, and one half were women, all of legal age and residents in Spain. A battery of tests was created that included a questionnaire of sociodemographic variables and of healthcare consumption, as well as several psychological variables (Zimbardo Time Paradox Inventory, Multidimensional Locus of Control Scale, Psychological Reactance Scale, Coping Responses Inventory, self-efficacy scale applied to health, and the Symptom Checklist-90-R). The following variables of the model were significant predictors (p ≤ 0.05): a negative past, a fatalistic present, psychological cognitive reactance, behavioral coping, health self-efficacy, and the level of somatization. Data from the statistical analyses show how to create a psychological profile of people who are high consumers of healthcare resources that will allow for the creation of intervention programs in this regard.

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“…Furthermore, Nordon et al (2012) stated that more recent use of antipsychotic agents and psychosocial therapy was related to higher treatment satisfaction. In sum, perceived participation in the decision‐making process concerning treatment was associated with higher treatment satisfaction (Cruz et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Personal preferences for treatment and care during and after a First Episode Psychosis: A qualitative study

van der Heijden‐Hobus,

Rosema,

Vorstman

et al. 2023

Early Intervention Psych

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AimA first episode of psychosis (FEP) is a stressful, often life‐changing experience. Scarce information is available about personal preferences regarding their care needs during and after a FEP. Whereas a more thorough understanding of these preferences is essential to aid shared decision‐making during treatment and improve treatment satisfaction.MethodsFace‐to‐face interviews with participants in remission of a FEP were set up, addressing personal preferences and needs for care during and after a FEP. The interviews were conducted by a female and a male researcher, the latter being an expert with lived experience.ResultsTwenty individuals in remission of a FEP were interviewed, of which 16 had been hospitalized. The distinguished themes based on personal preferences were tranquillity, peace and quietness, information, being understood, support from significant others, and practical guidance in rebuilding one's life. Our findings revealed that the need for information and the need to be heard were often not sufficiently met. For 16/20 participants, the tranquillity of inpatient treatment of the FEP was predominantly perceived as a welcome safe haven. The presence and support of family and close friends were mentioned as an important factor in the process of achieving remission.ConclusionsThe current exploratory study showed that patients were able to indicate their personal needs. Important findings are the need for information and the need to be heard. Interestingly, hospitalization was mostly seen as an opportunity to achieve tranquillity. More lived experience expertise is needed to elucidate the needs of individuals in the early phase of a FEP to aid people who are recovering from their first psychosis in rebuilding their lives again.

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Longitudinal determinants of client treatment satisfaction in an intensive first‐episode psychosis treatment programme

Cited by 9 publications

References 51 publications

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Personality Variables as Predictors of Health Services Consumption

Personal preferences for treatment and care during and after a First Episode Psychosis: A qualitative study

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