Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
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Support Care Cancer · Jan 2019
Supportive care needs and associated factors among Chinese cancer survivors: a cross-sectional study.
To investigate the unmet supportive care needs (SCNs) of Chinese cancer survivors and to identify factors associated with the unmet SCNs of cancer survivors. ⋯ Study findings call attention to cancer survivors' unmet SCNs and related factors. Underscored areas in developing survivorship care included paying special attention to existential survivorship, empowering survivor management of chronic symptoms, particularly for younger survivors, as well as for survivors with poor QoL, and those with a shorter time since diagnosis. This tailored survivorship care should be developed and delivered by a multidisciplinary team to support cancer services, with a greater capacity to deliver individualized, unmet SCN-driven care to survivors.
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Support Care Cancer · Jan 2019
The impact of automated screening with Edmonton Symptom Assessment System (ESAS) on health-related quality of life, supportive care needs, and patient satisfaction with care in 268 ambulatory cancer patients.
We aimed to assess the impact of implementing Edmonton Symptom Assessment System (ESAS) screening on health-related quality of life (HRQoL) and patient satisfaction with care (PSC) in ambulatory oncology patients. ESAS is now a standard of care in Ontario cancer centers, with the goal of improving symptom management in cancer patients, yet few studies examine impact of ESAS on patient outcomes. ⋯ Significant correlation between change in ESAS and HRQoL implies ESAS could usefully inform healthcare providers about need to respond to changes in symptom and functioning between visits. This study showed no impact of early-ESAS screening on HRQoL or PSC. Further research should explore how to better utilize ESAS screening, to improve communication, symptom management, and HRQoL.
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Support Care Cancer · Dec 2018
Pharmacist-led medication assessment and deprescribing intervention for older adults with cancer and polypharmacy: a pilot study.
The aims of this study were to compare the application of three geriatric medication screening tools to the Beers Criteria alone for potentially inappropriate medication quantification and to determine feasibility of a pharmacist-led polypharmacy assessment in a geriatric oncology clinic. ⋯ Our three-tool assessment identified three times more potentially inappropriate medications than the Beers Criteria alone. Pharmacist-led deprescribing interventions are feasible and may lead to improved patient outcomes and cost savings. This three-tool assessment process should be incorporated into interdisciplinary assessments of older patients with cancer and validated in future studies.
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Support Care Cancer · Dec 2018
Inverse relationship between reduced fatigue and severity of anemia in oncology patients treated with integrative medicine: understanding the paradox.
To assess the impact of integrative medicine (IM) on cancer-related fatigue in patients undergoing chemotherapy for early and advanced breast and gynecological (ovarian, endometrial, and cervical) cancer. ⋯ Integrative medicine program may alleviate cancer-related fatigue in patients with breast and gynecological cancer undergoing chemotherapy.
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Support Care Cancer · Nov 2018
Observational StudyUtility of Mayo Clinic's early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort.
To examine the feasibility of using the Mayo Clinic's Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk. ⋯ The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.