Literature DB >> 24485014

The influence of symptom clusters and the most distressing concerns regarding quality of life among patients with inoperable lung cancer.

Ingela Henoch1, Malin Lövgren2.   

Abstract

PURPOSE: To explore the influence of symptom clusters and the most distressing concerns on global rating of quality of life (QoL) among patients with inoperable lung cancer (LC) over a three-month period following diagnosis.
METHODS: Data were derived from a longitudinal study dealing with the symptom experiences of 400 patients with LC at three time points: close to diagnosis and one and three months later. The symptom clusters were derived from a QoL questionnaire using factor analysis, which resulted in three clusters: the Respiratory cluster, the Pain cluster and the Mood cluster. The most distressing concerns were derived from responses to a free listing question ('What is most distressing at present') and were categorised under three dimensions: Bodily distress, Life situation with LC and Iatrogenic distress. Cross-sectional, multivariate regression analyses with QoL as a dependent variable were used to determine predictors (symptom clusters and most distressing concerns) at the three time points.
RESULTS: All three symptom clusters predicted QoL at each time point. Close to diagnosis, none of the dimensions of most distressing concerns predicted QoL, while the dimension Bodily distress was a significant predictor of QoL after one month. The Life situation with LC dimension was a significant predictor of QoL three months after diagnosis.
CONCLUSIONS: Symptom clusters are important to LC patients' QoL and need to be acknowledged by healthcare professionals. The present study shows the importance of patients' descriptions of key concerns, which vary from diagnosis onwards, and urges healthcare professionals to be vigilant to such changes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Distress; Free listing; Lung cancer; Quality of life; Symptom cluster; Symptom experience

Mesh:

Year:  2014        PMID: 24485014     DOI: 10.1016/j.ejon.2013.12.001

Source DB:  PubMed          Journal:  Eur J Oncol Nurs        ISSN: 1462-3889            Impact factor:   2.398


  5 in total

1.  Differences in Symptom Clusters Identified Using Ratings of Symptom Occurrence vs. Severity in Lung Cancer Patients Receiving Chemotherapy.

Authors:  Melisa L Wong; Bruce A Cooper; Steven M Paul; Jon D Levine; Yvette P Conley; Fay Wright; Marilyn Hammer; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-05-19       Impact factor: 3.612

2.  What bothers lung cancer patients the most? A prospective, longitudinal electronic patient-reported outcomes study in advanced non-small cell lung cancer.

Authors:  Thomas W LeBlanc; Myles Nickolich; Christel N Rushing; Gregory P Samsa; Susan C Locke; Amy P Abernethy
Journal:  Support Care Cancer       Date:  2015-03-21       Impact factor: 3.603

3.  Factor analysis identifies three separate symptom clusters in idiopathic pulmonary fibrosis.

Authors:  Severi Seppälä; Kaisa Rajala; Juho Tuomas Lehto; Eva Sutinen; Laura Mäkitalo; Hannu Kautiainen; Hannu Kankaanranta; Mari Ainola; Tiina Saarto; Marjukka Myllärniemi
Journal:  ERJ Open Res       Date:  2020-10-05

Review 4.  Clinically Relevant Four-Level Cancer-Related Fatigue Among Patients With Various Types of Cancer.

Authors:  Hsiao-Lan Wang; Ming Ji; Connie Visovsky; Carmen S Rodriguez; Amanda F Elliott; Clement K Gwede; Tapan A Padhya; Marion B Ridley; Susan C McMillan
Journal:  J Adv Pract Oncol       Date:  2016-01-01

5.  Lifestyle and Sociodemographic and Economic Characteristics of Patients with Lung Cancer in Morocco.

Authors:  Imane Harkati; Mohamed Kamal Hilali; Nezha Oumghar; Mouna Khouchani; Mohamed Loukid
Journal:  Can Respir J       Date:  2020-01-06       Impact factor: 2.409

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.