Literature DB >> 26059322

Perceptions about cancer-related fatigue among cancer patients using Q methodology.

Ho Yoon Bang1, Eun Ja Yeun2, Eunmi Ham3, Misoon Jeon4, Jeong Hwa An3.   

Abstract

PURPOSE: Cancer-related fatigue (CRF) is a common subjective feeling and disabling symptom complex experienced by patients with cancer. This study aimed to identify the subjective perceptions of Korean patients with cancer about CRF to help the development of basic intervention strategies for these patients.
METHODS: Q methodology was used to examine the subjective perceptions of patients with cancer about CRF. Thirty-one patients with cancer, hospitalized at a university hospital in Seoul, Korea, were recruited into this study and classified 41 selected Q statements using a nine-point scale. Data were analysed using PC-QUANL for Windows.
RESULTS: Data analysis revealed that distinct perceptions about CRF do exist among Korean patients with cancer. Three types of perceptions were identified: dominant self-reliance, positive-conformist and self-deprecating exhaustion. These three types explained 53.0% of the variance (40.2%, 8.2% and 4.6%, respectively).
CONCLUSIONS: This study identified three types of perceptions about CRF among Korean patients with cancer. These findings provide baseline data to develop customised interventions for caring strategies. This study also informs health professionals in other countries about the perceptions of Korean patients with cancer about CRF.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer patients; Fatigue; Perception; Q methodology

Mesh:

Year:  2015        PMID: 26059322     DOI: 10.1016/j.ejon.2015.03.013

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


  2 in total

1.  A scoping review of Q-methodology in healthcare research.

Authors:  Kate Churruca; Kristiana Ludlow; Wendy Wu; Kate Gibbons; Hoa Mi Nguyen; Louise A Ellis; Jeffrey Braithwaite
Journal:  BMC Med Res Methodol       Date:  2021-06-21       Impact factor: 4.615

2.  Automatic analysis of treadmill running to estimate times to fatigue and exhaustion in rodents.

Authors:  Dmitry V Zaretsky; Hannah Kline; Maria V Zaretskaia; Daniel E Rusyniak
Journal:  PeerJ       Date:  2018-07-06       Impact factor: 2.984

  2 in total

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