PURPOSE: Although patients' function, symptoms, and supportive care needs are obviously related, a better understanding of these relationships could improve patient management. METHODS: In this cross-sectional, observational study, 117 cancer patients completed the Supportive Care Needs Survey-34 and EORTC-QLQ-C30. Each symptom and function domain from the EORTC-QLQ-C30 was dichotomized (high vs. low) using a cut-off of reference sample mean scores. Each need domain was dichotomized using a cut-off of an average score representing an unmet need. We explored within-patient patterns of function, symptom, and need domains using latent class analysis. Based on these patterns, patients were categorized as high versus low function; high versus low symptom; and high versus low need. We examined the concordance between categorizations of patients' function, symptoms, and needs. RESULTS: The categorizations of function, symptoms, and needs were concordant for 66 patients (56%). Among patients with deficits in at least one area (n = 68), categorizations for 51 patients (75%) were discordant. CONCLUSIONS: About 50% of patients have similar classifications of their level of function, symptoms, and needs, but discordance was common among patients with deficits in at least one area, emphasizing the importance of assessing all of these outcomes as part of patient evaluations.
PURPOSE: Although patients' function, symptoms, and supportive care needs are obviously related, a better understanding of these relationships could improve patient management. METHODS: In this cross-sectional, observational study, 117 cancerpatients completed the Supportive Care Needs Survey-34 and EORTC-QLQ-C30. Each symptom and function domain from the EORTC-QLQ-C30 was dichotomized (high vs. low) using a cut-off of reference sample mean scores. Each need domain was dichotomized using a cut-off of an average score representing an unmet need. We explored within-patient patterns of function, symptom, and need domains using latent class analysis. Based on these patterns, patients were categorized as high versus low function; high versus low symptom; and high versus low need. We examined the concordance between categorizations of patients' function, symptoms, and needs. RESULTS: The categorizations of function, symptoms, and needs were concordant for 66 patients (56%). Among patients with deficits in at least one area (n = 68), categorizations for 51 patients (75%) were discordant. CONCLUSIONS: About 50% of patients have similar classifications of their level of function, symptoms, and needs, but discordance was common among patients with deficits in at least one area, emphasizing the importance of assessing all of these outcomes as part of patient evaluations.
Authors: Claire F Snyder; Sydney M Dy; Danetta E Hendricks; Julie R Brahmer; Michael A Carducci; Antonio C Wolff; Albert W Wu Journal: Support Care Cancer Date: 2007-02-21 Impact factor: 3.603
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Authors: Galina Velikova; Laura Booth; Adam B Smith; Paul M Brown; Pamela Lynch; Julia M Brown; Peter J Selby Journal: J Clin Oncol Date: 2004-02-15 Impact factor: 44.544
Authors: Anna Thit Johnsen; Morten A Petersen; Claire F Snyder; Lise Pedersen; Mogens Groenvold Journal: Support Care Cancer Date: 2016-05-12 Impact factor: 3.603
Authors: Claire F Snyder; Amanda L Blackford; Julie R Brahmer; Michael A Carducci; Roberto Pili; Vered Stearns; Antonio C Wolff; Sydney M Dy; Albert W Wu Journal: Qual Life Res Date: 2010-03-26 Impact factor: 4.147
Authors: Patricia I Moreno; Amelie G Ramirez; Sandra L San Miguel-Majors; Leopoldo Castillo; Rina S Fox; Kipling J Gallion; Edgar Munoz; Ryne Estabrook; Arely Perez; Thomas Lad; Courtney Hollowell; Frank J Penedo Journal: Support Care Cancer Date: 2018-08-22 Impact factor: 3.603
Authors: Nikoloas Papachristou; Payam Barnaghi; Bruce A Cooper; Xiao Hu; Roma Maguire; Kathi Apostolidis; Jo Armes; Yvette P Conley; Marilyn Hammer; Stylianos Katsaragakis; Kord M Kober; Jon D Levine; Lisa McCann; Elisabeth Patiraki; Steven M Paul; Emma Ream; Fay Wright; Christine Miaskowski Journal: J Pain Symptom Manage Date: 2017-08-30 Impact factor: 3.612