PURPOSE: The Centers for Medicare & Medicaid Services (CMS) identifies suboptimal management of treatment toxicities as a care gap and proposes the measurement of hospital performance on the basis of emergency department visits for 10 common symptoms. Current management strategies do not address symptom co-occurrence. METHODS: We evaluated symptom co-occurrence in three patient cohorts that presented to a cancer hospital urgent care center in 2016. We examined both the CMS-identified symptoms and an expanded clinician-identified set defined as symptoms that could be safely managed in the outpatient setting if identified early and managed proactively. The cohorts included patients who presented with a CMS-defined symptom within 30 days of treatment, patients who presented within 30 days of treatment with a symptom from the expanded set, and patients who presented with a symptom from the expanded set within 30 days of treatment start. Symptom co-occurrence was measured by Jaccard index. A community detection algorithm was used to identify symptom clusters on the basis of a random walk process, and network visualizations were used to illustrate symptom dynamics. RESULTS: There were 6,429 presentations in the CMS symptom-defined cohort. The network analysis identified two distinct symptom clusters centered around pain and fever. In the expanded symptom cohort, there were 5,731 visits and six symptom clusters centered around fever, emesis/nausea, fatigue, deep vein thrombosis, pain, and ascites. For patients who newly initiated treatment, there were 1,154 visits and four symptom clusters centered around fever, nausea/emesis, fatigue, and deep vein thrombosis. CONCLUSION: Uncontrolled symptoms are associated with unplanned acute care. Recognition of the complexity of symptom co-occurrence can drive improved management strategies.
PURPOSE: The Centers for Medicare & Medicaid Services (CMS) identifies suboptimal management of treatment toxicities as a care gap and proposes the measurement of hospital performance on the basis of emergency department visits for 10 common symptoms. Current management strategies do not address symptom co-occurrence. METHODS: We evaluated symptom co-occurrence in three patient cohorts that presented to a cancer hospital urgent care center in 2016. We examined both the CMS-identified symptoms and an expanded clinician-identified set defined as symptoms that could be safely managed in the outpatient setting if identified early and managed proactively. The cohorts included patients who presented with a CMS-defined symptom within 30 days of treatment, patients who presented within 30 days of treatment with a symptom from the expanded set, and patients who presented with a symptom from the expanded set within 30 days of treatment start. Symptom co-occurrence was measured by Jaccard index. A community detection algorithm was used to identify symptom clusters on the basis of a random walk process, and network visualizations were used to illustrate symptom dynamics. RESULTS: There were 6,429 presentations in the CMS symptom-defined cohort. The network analysis identified two distinct symptom clusters centered around pain and fever. In the expanded symptom cohort, there were 5,731 visits and six symptom clusters centered around fever, emesis/nausea, fatigue, deep vein thrombosis, pain, and ascites. For patients who newly initiated treatment, there were 1,154 visits and four symptom clusters centered around fever, nausea/emesis, fatigue, and deep vein thrombosis. CONCLUSION: Uncontrolled symptoms are associated with unplanned acute care. Recognition of the complexity of symptom co-occurrence can drive improved management strategies.
Authors: Xiaobo Zhong; Emerson A Lim; Dawn L Hershman; Carol M Moinpour; Joseph Unger; Shing M Lee Journal: J Oncol Pract Date: 2016-02-23 Impact factor: 3.840
Authors: Christine Miaskowski; Andrea Barsevick; Ann Berger; Rocco Casagrande; Patricia A Grady; Paul Jacobsen; Jean Kutner; Donald Patrick; Lani Zimmerman; Canhua Xiao; Martha Matocha; Sue Marden Journal: J Natl Cancer Inst Date: 2017-01-24 Impact factor: 13.506
Authors: Lev D Bubis; Laura Davis; Alyson Mahar; Lisa Barbera; Qing Li; Lesley Moody; Paul Karanicolas; Rinku Sutradhar; Natalie G Coburn Journal: J Clin Oncol Date: 2018-03-01 Impact factor: 44.544
Authors: Heather McKenzie; Lillian Hayes; Kathryn White; Keith Cox; Judith Fethney; Maureen Boughton; Jo Dunn Journal: Support Care Cancer Date: 2010-05-25 Impact factor: 3.603
Authors: Bobby Daly; Gilad Kuperman; Alice Zervoudakis; Abigail Baldwin Medsker; Ankita Roy; Alice S Ro; Javiera Arenas; Hrudaya Veena Yanamandala; Raj Kottamasu; Rori Salvaggio; Jessie Holland; Stephanie Hirsch; Chasity B Walters; Tara Lauria; Kim Chow; Aaron Begue; Margarita Rozenshteyn; Melissa Zablocki; Amandeep K Dhami; Nicholas Silva; Emily Brown; Lauren L Katzen; Yeneat O Chiu; Claire Perry; Stefania Sokolowski; Isaac Wagner; Stephen R Veach; Rachel N Grisham; Chau T Dang; Diane L Reidy-Lagunes; Brett A Simon; Wendy Perchick Journal: JCO Oncol Pract Date: 2020-05-29
Authors: Bobby Daly; Dmitriy Gorenshteyn; Kevin J Nicholas; Alice Zervoudakis; Stefania Sokolowski; Claire E Perry; Lior Gazit; Abigail Baldwin Medsker; Rori Salvaggio; Lynn Adams; Han Xiao; Yeneat O Chiu; Lauren L Katzen; Margarita Rozenshteyn; Diane L Reidy-Lagunes; Brett A Simon; Wendy Perchick; Isaac Wagner Journal: JCO Clin Cancer Inform Date: 2020-03
Authors: Bobby Daly; Tara S Lauria; Jessie C Holland; Jericho Garcia; Jibran Majeed; Chasity B Walters; Melissa Zablocki; Kimberly Chow; Olga Strachna; Caitlin E Giles; Meghan F Kelly; Ashley Housen; Maryanne Canavan; Nina M Maresca; Ray Baser; Rori Salvaggio; Mark E Robson; Diane L Reidy-Lagunes Journal: JCO Oncol Pract Date: 2021-06-04
Authors: Anaeze C Offodile; Sandra R DiBrito; Janice P Finder; Sanjay Shete; Sanchita Jain; Domenica A Delgado; Christopher J Miller; Elenita Davidson; Michael J Overman; Susan K Peterson Journal: BMJ Open Date: 2022-04-05 Impact factor: 2.692