Keywords

Advanced Cancer, End of Life, Palliative care, Patient Reported Outcomes, Pediatric Oncology, Symptoms

 

Authors

  1. Montgomery, Kathleen E. PhD, RN
  2. Raybin, Jennifer L. MSN, RN
  3. Ward, Jessica PhD, RN
  4. Balian, Chelsea MSN, RN
  5. Gilger, Elizabeth MSN, APRN
  6. Murray, Paula PhD
  7. Li, Zhanhai PhD

Abstract

Background: Children with advanced cancer experience symptoms despite access to quality care. Symptom research has previously relied upon retrospective designs and parent proxy rather than prospective measurement with self-report.

 

Objective: This study evaluated the feasibility of electronic data collection in children with advanced cancer using self-report of symptom frequency, severity, and distress.

 

Methods: A multisite prospective cohort design was used for this study. Children who were 7 to 18 years of age and English-speaking and had a diagnosis of advanced cancer were included. Symptom frequency, severity, and level of distress were measured every 2 weeks.

 

Results: Forty-six children completed 563 of 622 (91%) administered electronic symptom assessments. Pain, fatigue, nausea, and sleeping difficulties were the most reported symptoms across all assessments and during the last 12 weeks of life. Symptoms with the highest composite scores included pain, fatigue, nausea, and sleeping difficulties. During the last 12 weeks of life, pain, fatigue, diarrhea, and sleeping difficulties had the highest composite scores. When the domains of frequency, severity, and distress were compared between groups, children reported significantly higher frequency of pain and eating difficulty during the last 12 weeks of life.

 

Conclusions: Electronic data collection is a feasible way to evaluate the constellation of symptoms. Children with advanced cancer continue to experience physical and psychological symptoms, especially during the last 12 weeks of life despite quality care.

 

Implications for Practice: Assessment of symptom domains, including frequency, severity, and distress when symptoms are present may allow clinicians to better understand and manage symptoms of most concern to the patient.