Family environment and depressive episode are associated with relapse after first-episode psychosis

Role of Clinical Insight at First Month in Predicting Relapse at the Year in First Episode of Psychosis (FEP) Patients

INTRODUCTION

Clinical insight constitutes a useful marker of the progress and outcome of the First Episode of Psychosis (FEP), and lack of insight has been associated with more severe psychopathology, treatment non-adherence, and rehospitalization/relapse. In this study, we aimed to further investigate the possible role of insight as a predictor of relapse, its relation to diagnosis, and other parameters of positive psychotic symptomatology (delusions, hallucinations, and suspiciousness).

METHODS

The Athens FEP study employed a prospective, longitudinal cohort design in which consecutive newly diagnosed patients with psychosis were interviewed and asked to voluntarily participate after completing informed consent. A total of 88/225 patients were examined at three different time points (baseline, month, and year). Their scores in the relevant items of the Positive and Negative Syndrome Scale (PANSS) were compared (G12 for insight, P1 for delusions, P3 for hallucinations, and P6 for suspiciousness), and they were further associated to diagnosis and the outcome at the end of the year (remission/relapse).

RESULTS

In total, 22/88 patients with relapse at the year had greater scores in G12 for both the month and the year, and this finding was corroborated after adjusting the statistical analysis for demographics, diagnosis, social environment, and depression via multiple logistic regression analysis. Moreover, delusions and suspiciousness were significantly higher in patients diagnosed with non-affective psychosis compared to those diagnosed with affective psychosis (p < 0.001) at the first month.

CONCLUSIONS

Lack of insight at the first month may serve as a predictor of relapse at the year.

Factors influencing self-management among patients diagnosed with anxiety disorders in China: A cross-sectional study

WHAT IS KNOWN ON THE SUBJECT?: Self-management comprises five core skills: "Problem Solving, Decision-Making, Resource Utilization, Forming a Patient/Healthcare Provider Partnership and Taking Action." Effective self-management among patients diagnosed with anxiety can reduce the number of relapses and improve treatment outcomes. Knowledge of the impact of the family atmosphere, well-being and illness symptoms on self-management in patients diagnosed with anxiety disorders is limited. WHAT DOES THE PAPER ADD TO THE EXISTING KNOWLEDGE?: This is the first study in China to explore whether family atmosphere and well-being of patients diagnosed with anxiety disorders affects self-management. This paper adds to the list of factors influencing self-management among patients diagnosed with anxiety disorders. SAS scores are a major factor influencing self-management among patients diagnosed with anxiety disorders. The subjective well-being of patients diagnosed with anxiety disorders can influence their self-management behaviour. Patients who experienced family harmony had significantly higher self-management scores than those who experienced family disharmony. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nurses should encourage patients diagnosed with anxiety disorders to manage their condition while receiving treatment at home. Nurses should focus on patients diagnosed with anxiety disorders who have significant anxiety symptoms and low well-being. Nurses should emphasize the importance of the home environment in family self-management and affirm that a good home environment promotes patient self-management.

ABSTRACT

INTRODUCTION: Better self-management can improve treatment outcomes and reduce the number of relapses for patients diagnosed with anxiety disorders. However, the impact of well-being and the home environment on self-management among patients diagnosed with anxiety disorders is unclear in China.

AIM

This study sought to determine the impact of the home environment, well-being and illness symptoms on self-management during home treatment for patients diagnosed with anxiety disorders.

METHOD

This cross-sectional study was conducted with patients diagnosed with anxiety disorders. Data were collected with SAS, Self-Management Scale for People with Anxiety Disorders and Index of Well-being. Frequency, percentage, analysis of variance, Kruskal-Wallis and multiple linear regression analyses were used.

RESULTS

Home environment (p < .001), self-perceived quality of life (p = .015), well-being index (p = .002) and SAS total score (p = .033) had a major impact on self-management in patients diagnosed with anxiety disorders (n = 245).

DISCUSSION

Family disharmony, poor self-perceived quality of life, high SAS scores and low levels of well-being were significant influences on self-management among people diagnosed with anxiety disorders.

IMPLICATIONS FOR PRACTICE

Nurses should focus on the self-management of patients diagnosed with significant anxiety symptoms and low well-being and value the importance of the home environment in facilitating self-management among patients diagnosed with anxiety disorders.

Psychotic relapses from the perspective of patients and family members

This qualitative study was carried out with 10 dyads of patients-family members to explore their perception about psychotic relapses. Data were collected through a semi-structured interview from April to August 2019, in Brazil, and analyzed using the thematic analysis proposed by Braun & Clark. Four main themes emerged from the interviews: (1) defining and describing the psychotic relapses; (2) risk factors for psychotic relapse; (3) protective factors for psychotic relapse; and (4) early warning signs: identification of an episode of psychotic relapse. Exploring the perception of patients with psychotic disorders and their families about relapse is fundamental for the development of relapse risk assessment tools and to guide further research on this topic.