Comparison of a Function-Based Model and a Meaning-Based Model of Quality of Life in Oncology

Costain, Kirsten; Hewison, Jenny; Howes, M.J.

doi:10.1300/j077v11n04_02

Cited by 18 publications

(13 citation statements)

References 28 publications

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“…27 Second, the Meaning-based Model worldview proposes that, to effectively predict and influence health outcomes, it is insufficient to merely consider the impact of disease on function. 28 A holistic understanding of an individual’s perceptions of their situation, (i.e., one’s meanings, patterns, and experiences of illness and one’s autonomy, beliefs, choices, and relationships with others) are also necessary. 28 …”

Section: Introductionmentioning

confidence: 99%

The Resilience in Illness Model, Part 1

Haase¹,

Kintner²,

Monahan³

et al. 2014

Cancer Nursing

115

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Background Resilience is a positive health outcome identified by the Committee on Future Direction for Behavioral and Social Sciences as a research priority for the National Institutes of Health. The Resilience in Illness Model (RIM) was developed from a series of qualitative and quantitative studies, to increase understanding of how positive health protective factors (i.e. social integration, family environment, courageous coping and derived meaning) may influence resilience outcomes. The RIM also includes two risk factors, illness-related distress and defensive coping. Objective The purpose of this two-part paper is to report on evaluation of the RIM for adolescents/young adults with cancer (AYA). Here, in Part 1, our purpose is to describe the exploratory RIM evaluation and in Part 2 we describe the confirmatory RIM evaluation. Methods An exploratory evaluation of RIM was done using exploratory latent variable structural equation modeling with a combined sample from two studies of pre-adolescents, and AYA with cancer ages 10 -26 years (n=202). Results Results, including goodness-of-fit indices, support the RIM as a theory with a high level of explained variance for outcomes of resilience (67%) and self-transcendence (63%). Variance explained for proximal outcomes ranged from 18% to 76%. Conclusions Findings indicate that, following confirmatory testing, the RIM may be a useful guide to developing targeted interventions that are grounded in the experiences of the AYA. Implications for Practice Increased understanding of the AYA cancer experience to improve holistic care.

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Section: Introductionmentioning

confidence: 99%

The Resilience in Illness Model, Part 1

Haase¹,

Kintner²,

Monahan³

et al. 2014

Cancer Nursing

115

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“…These advances have generated strong interest in the long-term adjustment of this growing survivor population including quality-of-life (QOL) and general well-being of survivors [5][6][7][8]. To assess QOL, research in this area relies almost exclusively on interviews and self-report questionnaires to elicit survivors' report of their adjustment in the areas of fatigue, depression, anxiety, social functioning, and school adjustment [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The effects of response bias on self-reported quality of life among childhood cancer survivors

2007

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“…In particular, little attention has been given to the personal facets and meaningful themes of the QOL as reported by patients with brain tumours. 25 26 This scenario gives rise to an impression that, after the recurrence of a brain tumour, uncertainty, loss of hope, and the perspective of near death surpass any intention to understand patients' QOL other than in the functional sense. Conversely, QOL evaluations including personal feelings and opinions intuitively deserve attention in such life threatening situations because they can support clinical choices in concert with patients' desires and awareness.…”

mentioning

confidence: 99%

Facets and determinants of quality of life in patients with recurrent high grade glioma

Giovagnoli

Silvani

Colombo

et al. 2005

Journal of Neurology, Neurosurgery & Psychiatry

119

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Objectives: To assess patients with recurrent high grade brain glioma with the aim of evaluating facets of quality of life (QOL) and their association with mood, cognition, and physical performance. Methods: Ninety four glioma patients (four groups with different duration of glioma recurrence) were compared with 24 patients with other chronic neurological diseases and 48 healthy subjects. The Functional Living Index-Cancer (FLIC) provided QOL self evaluations, and standardised scales and neuropsychological tests assessed physical performance, mood, and cognition. Results: In glioma patients, factor analysis of the FLIC items documented five domains: Psychological well being, Role/sociability, Inner experience of disease, Isolation/sharing, and Nausea. Higher FLIC total scores were related to better cognition, physical performances, and mood, and lower grading; poorer Psychological well being and worse Inner experience of disease to depressed mood; minor Role/ sociability to worse cognitive and physical performances and higher grading; worse Nausea to longer disease duration. Compared with healthy subjects, all glioma groups were cognitively impaired and more anxious, and two groups with short duration of recurrence were also more depressed. Patients with chronic neurological diseases showed worse mood and cognitive abilities compared with healthy subjects, but performed attention tests better than glioma patients. Glioma and chronic disease patients showed similar FLIC scores and autonomy. Conclusions: These results show that QOL of recurrent high grade glioma patients is multifaceted and determined by multiple factors. Disease severity does not necessarily eliminate the possibility of expressing personal feelings and opinions which could provide criteria for clinical decision making and psychological support.

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Comparison of a Function-Based Model and a Meaning-Based Model of Quality of Life in Oncology

Cited by 18 publications

References 28 publications

The Resilience in Illness Model, Part 1

The Resilience in Illness Model, Part 1

The effects of response bias on self-reported quality of life among childhood cancer survivors

Facets and determinants of quality of life in patients with recurrent high grade glioma

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