Ontology highlight
ABSTRACT: Aim
To identify the symptom clusters of early-stage poststroke depression (PSD) and provide an in-depth understanding of the symptoms.Design
A mixed-methods study with a convenient sampling method was used.Methods
A cross-sectional questionnaire survey in 231 stroke patients and semi-structured interviews in 14 stroke patients were conducted in the neurological department of a comprehensive hospital in Southeast China. Data from the questionnaire survey were analysed through descriptive and exploratory factor analyses; data from the semi-structured interview were transcribed verbatim and analysed through inductive content analysis. This study adheres to the GRAMMS checklist.Results
Exploratory factor analysis revealed six symptom clusters of early-stage PSD that accounted for an ideal variance in PSD: nervous, wakefulness, emotional, dull, guilt and low mood. Further, inductive content analysis revealed five themes that were like the above symptom clusters, except for the dull symptom cluster.
SUBMITTER: Chen J
PROVIDER: S-EPMC8363377 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Chen Junya J Li Yun Y Liu Jing J Zhang Yi Y Zeng Yawei Y Chen Mengjiao M Ding Weiwei W Lu Zhongqiu Z Xu Hongbo H Li Jufang J
Nursing open 20210120 5
<h4>Aim</h4>To identify the symptom clusters of early-stage poststroke depression (PSD) and provide an in-depth understanding of the symptoms.<h4>Design</h4>A mixed-methods study with a convenient sampling method was used.<h4>Methods</h4>A cross-sectional questionnaire survey in 231 stroke patients and semi-structured interviews in 14 stroke patients were conducted in the neurological department of a comprehensive hospital in Southeast China. Data from the questionnaire survey were analysed thro ...[more]