Dataset Information

Recognition and management of depression in early psychosis.

ABSTRACT:

Aims and method

Depression in first-episode psychosis (FEP) is highly prevalent and associated with poor outcomes; it has become increasingly recognised and adopted in national and international guidelines for psychosis. Using a 26-item questionnaire, this study aimed to explore if this shift has led to greater recognition among UK psychiatrists, and more effective management of depression in FEP.

Results

Of the 297 respondents, 54.4% observed depression occurring in chronic psychosis, with the least number of respondents (17.7%) identifying depression occurring frequently during FEP. Although there was reasonable agreement in the use of antidepressants as a first-line treatment for depression (70% prescribing antidepressants), there was uncertainty around assessing depression and delineating from psychosis symptoms, and particularly negative symptoms.

Clinical implications

Evidence-based treatments for comorbid depression in psychosis will lead to clearer national guidelines, allowing for optimal management of depression in early psychosis, potentially leading to improved outcomes for these individuals.

SUBMITTER: Bashir Z

PROVIDER: S-EPMC9074150 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Recognition and management of depression in early psychosis.

Bashir Zainab Z Griffiths Sian Lowri SL Upthegrove Rachel R

BJPsych bulletin 20220401 2

<h4>Aims and method</h4>Depression in first-episode psychosis (FEP) is highly prevalent and associated with poor outcomes; it has become increasingly recognised and adopted in national and international guidelines for psychosis. Using a 26-item questionnaire, this study aimed to explore if this shift has led to greater recognition among UK psychiatrists, and more effective management of depression in FEP.<h4>Results</h4>Of the 297 respondents, 54.4% observed depression occurring in chronic psych ...[more]

PMID: 33715667

Similar Datasets

Project description:BackgroundDepression is prevalent in primary care (PC) practices and poses a considerable public health burden in the United States. Despite nearly four decades of efforts to improve depression care quality in PC practices, a gap remains between desired treatment outcomes and the reality of how depression care is delivered.ObjectiveThis article presents a real-world PC practice model of depression care, elucidating the processes and their influencing conditions.DesignGrounded theory methodology was used for the data collection and analysis to develop a depression care model. Data were collected from 70 individual interviews (60 to 70 min each), three focus group interviews (n = 24, 2 h each), two surveys per clinician, and investigators' field notes on practice environments. Interviews were audiotaped and transcribed for analysis. Surveys and field notes complemented interview data.ParticipantsSeventy primary care clinicians from 52 PC offices in the Midwest: 28 general internists, 28 family physicians, and 14 nurse practitioners.Key resultsA depression care model was developed that illustrates how real-world conditions infuse complexity into each step of the depression care process. Depression care in PC settings is mediated through clinicians' interactions with patients, practice, and the local community. A clinician's interactional familiarity ("familiarity capital") was a powerful facilitator for depression care. For the recognition of depression, three previously reported processes and three conditions were confirmed. For the management of depression, 13 processes and 11 conditions were identified. Empowering the patient was a parallel process to the management of depression.ConclusionsThe clinician's ability to develop and utilize interactional relationships and resources needed to recognize and treat a person with depression is key to depression care in primary care settings. The interactional context of depression care makes empowering the patient central to depression care delivery.

Dataset Information

Recognition and management of depression in early psychosis.

Aims and method

Results

Clinical implications

Publications

Recognition and management of depression in early psychosis.

Similar Datasets

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