The Symptom Experience of Oncology Outpatients Has a Different Impact on Quality-of-Life Outcomes

Dorit Pud, Sarah Ben Ami, Bruce A. Cooper, Bradley E. Aouizerat, Dorit Cohen, Ruth Radiano, Pnina Naveh, Rivka Nikkhou-Abeles, Vered Hagbi, Orly Kachta, Aliza Yaffe, Christine Miaskowski

Research output: Contribution to journalArticlepeer-review

Abstract

The aims of this replication study were to determine if subgroups of oncology outpatients receiving active treatment could be identified based on their experience with the symptoms of fatigue, sleep disturbance, depression, and pain; whether patients in these subgroups differed on selected demographic, disease, and treatment characteristics; and if patients in these subgroups differed on functional status and quality of life (QOL). A convenience sample of 228 oncology outpatients was recruited from seven outpatient settings in Israel. Patients completed a demographic questionnaire, a Karnofsky Performance Status score, the Multidimensional Quality of Life Scale-Cancer, the Lee Fatigue Scale, the General Sleep Disturbance Scale, the Center for Epidemiological Studies-Depression Scale, and a numeric rating scale of worst pain intensity. Cluster analysis was used to identify the patient subgroups based on their symptom experience. Four relatively distinct patient subgroups were identified based on their experiences with the above symptoms (i.e., low levels of all four symptoms (32.9%), low levels of pain and high levels of fatigue (18.0%), high levels of pain and moderate levels of fatigue (42.5%), and high levels of all four symptoms (6.6%). No differences were found among the four subgroups on any demographic, disease, or treatment characteristics. The subgroup of patients who reported high levels of all four symptoms reported the worst functional status and poorest QOL. In conclusion, differences in the symptom experience of oncology outpatients suggest that patients may harbor different phenotypic characteristics (e.g., environmental or physiologic) or genetic determinants for experiencing symptoms that are independent of demographic, disease, and treatment characteristics.

Original languageEnglish
Pages (from-to)162-170
Number of pages9
JournalJournal of Pain and Symptom Management
Volume35
Issue number2
DOIs
StatePublished - Feb 2008

Bibliographical note

Funding Information:
The study was partially supported by an unrestricted grant from Roche Pharmaceuticals to Dr. Pud. Dr. Miaskowski is funded by the National Institutes of Health (NIH) through grants from the National Cancer Institute and the National Institute of Nursing Research. She was an NIH Fellow, NINR Summer Genetics Institute, 2005. Dr. Aouizerat is funded by the NIH through the NIH Roadmap for Medical Research Grant (8 K12 RR023262).

Keywords

  • Cluster analysis
  • depressive symptoms
  • fatigue
  • functional status
  • pain
  • quality of life
  • sleep disturbances
  • symptom clusters

ASJC Scopus subject areas

  • Clinical Neurology
  • Anesthesiology and Pain Medicine
  • General Nursing

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