Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more
Author:
Publisher
Springer Science and Business Media LLC
Subject
Oncology
Link
https://link.springer.com/content/pdf/10.1007/s00520-023-07723-5.pdf
Reference88 articles.
1. Papadakos JK, Charow RC, Papadakos CJ, Moody LJ, Giuliani ME (2019) Evaluating cancer patient-reported outcome measures: readability and implications for clinical use. Cancer 125(8):1350–1356
2. Kotronoulas G, Kearney N, Maguire R, Harrow A, Di Domenico D, Croy S, MacGillivray S (2014) What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. J Clin Oncol 32(14):1480–1501
3. Lipscomb J, Reeve BB, Clauser SB, Abrams JS, Bruner DW, Burke LB, Denicoff AM, Ganz PA, Gondek K, Minasian LM, O’Mara AM, Revicki DA, Rock EP, Rowland JH, Sgambati M, Trimble EL (2007) Patient-reported outcomes assessment in cancer trials: taking stock, moving forward. J Clin Oncol 25(32):5133–5140
4. Chen J, Ou L, Hollis SJ (2013) A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Serv Res 13:211
5. Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, Schrag D (2017) Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA 318(2):197–198
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