Skip navigation
Please use this identifier to cite or link to this item: https://mnclhd.intersearch.com.au/mnclhdjspui/handle/123456789/204
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWaller, A.-
dc.contributor.authorFakes, K.-
dc.contributor.authorCarey, M.-
dc.contributor.authorDizon, J.-
dc.contributor.authorParrey, K.-
dc.contributor.authorCoad, M.-
dc.contributor.authorSanson-Fisher, R.-
dc.date.accessioned2024-12-03T04:43:35Z-
dc.date.available2024-12-03T04:43:35Z-
dc.date.issued2023-01-
dc.identifier.citationBMC Psychology. 2023 Jan 31;11(1):32. doi: 10.1186/s40359-023-01068-8.en
dc.identifier.urihttps://mnclhd.intersearch.com.au/mnclhdjspui/handle/123456789/204-
dc.description.abstractBackground: Exploring sociodemographic and disease characteristics that contribute to patient-reported outcomes can inform targeting of strategies to support recovery and adaptation to stroke. This study aimed to examine among a sample of stroke survivors at three months post-hospital discharge: (1) self-reported physical and mental health quality of life scores; (2) self-reported depressive and anxiety symptoms; and (3) sociodemographic and clinical predictors of these outcomes. Methods: This cross-sectional survey study recruited stroke survivors from eight hospitals in one Australian state. Adult survivors recently discharged from hospital stroke wards (within 3 months) were mailed a study information package and invited to complete a pen-and paper survey. Survey items assessed: quality of life (SF12v2), depression (PHQ-9), anxiety (GAD-7) and sociodemographic and clinical characteristics. Predictors were examined using multiple linear regression analysis. Results: Of the 1161 eligible patients who were posted a recruitment pack, 401 (35%) returned a completed survey. Participants reported a mean SF-12v2 Physical Composite Score (PCS) quality of life score of 44.09 (SD = 9.57); and a mean SF-12v2 Mental Composite Score (MCS) quality of life score of 46.84 (SD = 10.0). Approximately one third of participants (34%; n = 132) were classified as depressed (PHQ-9 ≥ 10); and 27% (n = 104) were classified as anxious (GAD-7 ≥ 8). Lower PCS was associated with being female, not employed and having a comorbid diagnosis of diabetes and atrial fibrillation. Lower MCS was associated with a history of transient ischemic attack (TIA). Males and those with higher levels of education, had greater odds of having lower depression severity; those with a history of TIA or diabetes had lower odds of having lower depression severity. Males had greater odds of having lower anxiety severity; those with a history of TIA had lower odds of having lower anxiety severity. Conclusion: Sub-groups of stroke survivors may be at-risk of poorer quality of life and psychological morbidity in the early post-discharge phase. These findings support the role of early identification and prioritisation of at-risk survivors at discharge, as they may require modifications to standard hospital discharge processes tailored to their level of risk.en
dc.language.isoenen
dc.subjectMental Healthen
dc.subjectIschemic Attack, Transienten
dc.subjectPatient Dischargeen
dc.subjectAnxietyen
dc.subjectStrokeen
dc.subjectPatient Health Questionnaireen
dc.subjectQuality of Lifeen
dc.subjectDepressionen
dc.titleQuality of life and mood disorders of mild to moderate stroke survivors in the early post-hospital discharge phase: a cross-sectional survey studyen
dc.typeArticleen
dc.contributor.mnclhdauthorCoad, Michelle-
Appears in Collections:Mental Health

Files in This Item:
File SizeFormat  
s40359-023-01068-8.pdf1.06 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Google Media

Google ScholarTM

Who's citing