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The impact of decision models on self-perceived quality of life: a study on brain cancer patients
Quality of life (QoL) is an increasingly important outcome measure in medicine. Health, in fact, is not only based on functional status but also on psychological and social well being. Since QoL is related to the patient’s perception of their position in life in relation to their goals, expectations...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cancer Intelligence
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234023/ https://www.ncbi.nlm.nih.gov/pubmed/22276038 http://dx.doi.org/10.3332/ecancer.2010.187 |
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author | Lucchiari, C Botturi, A Pravettoni, G |
author_facet | Lucchiari, C Botturi, A Pravettoni, G |
author_sort | Lucchiari, C |
collection | PubMed |
description | Quality of life (QoL) is an increasingly important outcome measure in medicine. Health, in fact, is not only based on functional status but also on psychological and social well being. Since QoL is related to the patient’s perception of their position in life in relation to their goals, expectations, standards and concerns, the way in which the medical context is experienced may be critical. We then hypothesised that self-perceived QoL may be linked to unmet needs in information management and decision involvement. To analyse this hypothesis, we conducted a quantitative study on 84 consecutive patients with a diagnosis of primary high-grade glioma. The functional assessment of cancer therapy-Brain (FACT-Br) scales, the hospital anxiety and depression (HAD) scale and the need evaluation questionnaire (NEQ) questionnaire were used, in order to measure quality-of-life dimension, mood and unmet needs. Patients were classified as having no need (cluster 1), a moderate need (cluster 2) or a high need (cluster 3) to be more involved in the clinical process. Our data confirmed previous studies in other clinical areas, showing that shared decision might contribute to a better adaptation process to the illness [1]. In fact, patients in cluster 1 showed a significant better self-perceived QoL, despite the lack of clinical differences between clusters. The study showed that patients satisfied with respect to decisional involvement seem to be able to better cope with their disease. Finally, the study suggests the need for a more attuned decision-making process in approaching clinical decisions. Physicians need to better understand patient preferences related to information and decision sharing. |
format | Online Article Text |
id | pubmed-3234023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Cancer Intelligence |
record_format | MEDLINE/PubMed |
spelling | pubmed-32340232012-01-24 The impact of decision models on self-perceived quality of life: a study on brain cancer patients Lucchiari, C Botturi, A Pravettoni, G Ecancermedicalscience Research Article Quality of life (QoL) is an increasingly important outcome measure in medicine. Health, in fact, is not only based on functional status but also on psychological and social well being. Since QoL is related to the patient’s perception of their position in life in relation to their goals, expectations, standards and concerns, the way in which the medical context is experienced may be critical. We then hypothesised that self-perceived QoL may be linked to unmet needs in information management and decision involvement. To analyse this hypothesis, we conducted a quantitative study on 84 consecutive patients with a diagnosis of primary high-grade glioma. The functional assessment of cancer therapy-Brain (FACT-Br) scales, the hospital anxiety and depression (HAD) scale and the need evaluation questionnaire (NEQ) questionnaire were used, in order to measure quality-of-life dimension, mood and unmet needs. Patients were classified as having no need (cluster 1), a moderate need (cluster 2) or a high need (cluster 3) to be more involved in the clinical process. Our data confirmed previous studies in other clinical areas, showing that shared decision might contribute to a better adaptation process to the illness [1]. In fact, patients in cluster 1 showed a significant better self-perceived QoL, despite the lack of clinical differences between clusters. The study showed that patients satisfied with respect to decisional involvement seem to be able to better cope with their disease. Finally, the study suggests the need for a more attuned decision-making process in approaching clinical decisions. Physicians need to better understand patient preferences related to information and decision sharing. Cancer Intelligence 2010-08-20 /pmc/articles/PMC3234023/ /pubmed/22276038 http://dx.doi.org/10.3332/ecancer.2010.187 Text en © the authors; licensee ecancermedicalscience. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lucchiari, C Botturi, A Pravettoni, G The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title | The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title_full | The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title_fullStr | The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title_full_unstemmed | The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title_short | The impact of decision models on self-perceived quality of life: a study on brain cancer patients |
title_sort | impact of decision models on self-perceived quality of life: a study on brain cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234023/ https://www.ncbi.nlm.nih.gov/pubmed/22276038 http://dx.doi.org/10.3332/ecancer.2010.187 |
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