TY - JOUR
T1 - Determination of Cutpoints for Symptom Burden in Oncology Patients Receiving Chemotherapy
AU - Miaskowski, Christine
AU - Paul, Steven M.
AU - Harris, Carolyn S.
AU - Shin, Joosun
AU - Oppegaard, Kate
AU - Conley, Yvette P.
AU - Hammer, Marilyn
AU - Kober, Kord M.
AU - Levine, Jon D.
N1 - Publisher Copyright:
© 2021 American Academy of Hospice and Palliative Medicine
PY - 2022/1
Y1 - 2022/1
N2 - Context: Cutpoints can be used as a threshold for screening symptom(s) that warrant intervention(s) and for monitoring patients’ responses to these interventions. Objectives: In a sample of oncology patients undergoing chemotherapy, study purposes were to determine the optimal cutpoints for low, moderate, and high symptom burden and determine if these cutpoints distinguished among the symptom groups in any demographic, clinical, and stress characteristics, as well as QOL outcomes. Methods: Total of 1329 patients completed a modified version of the Memorial Symptom Assessment Scale (38 symptoms). Using the methodology of Serlin and colleagues, cutpoints were created using symptom occurrence rates and cancer-specific quality of life (QOL) scores. Cutpoints were validated using measures of stress and resilience and a generic measure of QOL (i.e., Medical Outcomes Study Short Form 12 (SF-12)). Results: Of the 25 possible cutpoints evaluated, the optimal cutpoint, with the largest between category F statistic, was CP8,15 (Low = 0–8, Moderate = 9–15, High = 16–38 symptoms). Percentage of patients in the Low, Moderate, and High cutpoint groups were 25.3%, 36.3%, and 38.4%, respectively. Significant differences were found among the symptom burden groups in global, cancer-specific, and cumulative life stress (i.e., Low < Moderate < High) and resilience and SF-12 (i.e., Low > Moderate > High) scores. Conclusion: Our findings provide evidence for clinically meaningful cutpoints that can be used to guide symptom assessment and management. These cutpoints may be used to establish alert thresholds for electronic monitoring of symptoms in oncology patients.
AB - Context: Cutpoints can be used as a threshold for screening symptom(s) that warrant intervention(s) and for monitoring patients’ responses to these interventions. Objectives: In a sample of oncology patients undergoing chemotherapy, study purposes were to determine the optimal cutpoints for low, moderate, and high symptom burden and determine if these cutpoints distinguished among the symptom groups in any demographic, clinical, and stress characteristics, as well as QOL outcomes. Methods: Total of 1329 patients completed a modified version of the Memorial Symptom Assessment Scale (38 symptoms). Using the methodology of Serlin and colleagues, cutpoints were created using symptom occurrence rates and cancer-specific quality of life (QOL) scores. Cutpoints were validated using measures of stress and resilience and a generic measure of QOL (i.e., Medical Outcomes Study Short Form 12 (SF-12)). Results: Of the 25 possible cutpoints evaluated, the optimal cutpoint, with the largest between category F statistic, was CP8,15 (Low = 0–8, Moderate = 9–15, High = 16–38 symptoms). Percentage of patients in the Low, Moderate, and High cutpoint groups were 25.3%, 36.3%, and 38.4%, respectively. Significant differences were found among the symptom burden groups in global, cancer-specific, and cumulative life stress (i.e., Low < Moderate < High) and resilience and SF-12 (i.e., Low > Moderate > High) scores. Conclusion: Our findings provide evidence for clinically meaningful cutpoints that can be used to guide symptom assessment and management. These cutpoints may be used to establish alert thresholds for electronic monitoring of symptoms in oncology patients.
KW - Symptom burden
KW - cancer
KW - chemotherapy
KW - cutpoints
KW - severity
KW - symptoms
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U2 - 10.1016/j.jpainsymman.2021.07.018
DO - 10.1016/j.jpainsymman.2021.07.018
M3 - Article
C2 - 34333099
AN - SCOPUS:85114724725
SN - 0885-3924
VL - 63
SP - 42
EP - 51
JO - Journal of Pain and Symptom Management
JF - Journal of Pain and Symptom Management
IS - 1
ER -