Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer.
Eggins, R
Fowler, H
Cameron, J
Aitken, JF
Youl, P
Turrell, G
Chambers, SK
Dunn, J
Pyke, C
Baade, PD
Goodwin, B
- Publisher:
- Wiley
- Publication Type:
- Journal Article
- Citation:
- Psychooncology, 2022, 31, (11), pp. 1951-1957
- Issue Date:
- 2022-11
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Psycho-Oncology - 2022 - Eggins - Supportive care needs and psychosocial outcomes of rural versus urban women with breast.pdf | 368.18 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Eggins, R | |
dc.contributor.author | Fowler, H | |
dc.contributor.author | Cameron, J | |
dc.contributor.author | Aitken, JF | |
dc.contributor.author | Youl, P | |
dc.contributor.author | Turrell, G | |
dc.contributor.author | Chambers, SK | |
dc.contributor.author | Dunn, J | |
dc.contributor.author | Pyke, C | |
dc.contributor.author | Baade, PD | |
dc.contributor.author | Goodwin, B | |
dc.date.accessioned | 2023-06-14T05:29:38Z | |
dc.date.available | 2022-05-19 | |
dc.date.available | 2023-06-14T05:29:38Z | |
dc.date.issued | 2022-11 | |
dc.identifier.citation | Psychooncology, 2022, 31, (11), pp. 1951-1957 | |
dc.identifier.issn | 1057-9249 | |
dc.identifier.issn | 1099-1611 | |
dc.identifier.uri | http://hdl.handle.net/10453/170757 | |
dc.description.abstract | OBJECTIVE: To identify whether supportive care needs vary according to remoteness and area-level socio-economic status and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs. METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n = 2635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes. RESULTS: Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters. CONCLUSIONS: This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Wiley | |
dc.relation.ispartof | Psychooncology | |
dc.relation.isbasedon | 10.1002/pon.5977 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 1103 Clinical Sciences, 1112 Oncology and Carcinogenesis, 1701 Psychology | |
dc.subject.classification | Oncology & Carcinogenesis | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Health Services Needs and Demand | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Health Services Needs and Demand | |
dc.subject.mesh | Female | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Health Services Needs and Demand | |
dc.title | Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer. | |
dc.type | Journal Article | |
utslib.citation.volume | 31 | |
utslib.location.activity | England | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1112 Oncology and Carcinogenesis | |
utslib.for | 1701 Psychology | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2023-06-14T05:29:28Z | |
pubs.issue | 11 | |
pubs.publication-status | Published | |
pubs.volume | 31 | |
utslib.citation.issue | 11 |
Abstract:
OBJECTIVE: To identify whether supportive care needs vary according to remoteness and area-level socio-economic status and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs. METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n = 2635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes. RESULTS: Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters. CONCLUSIONS: This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions.
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