Frankie A. Cozzens Philips

ORCID: 0000-0003-3809-3444
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About
Contact & Profiles
Research Areas
  • Cancer survivorship and care
  • Cancer-related cognitive impairment studies
  • Scoliosis diagnosis and treatment
  • Childhood Cancer Survivors' Quality of Life
  • Cancer Treatment and Pharmacology
  • Neutropenia and Cancer Infections
  • Primary Care and Health Outcomes
  • Health Systems, Economic Evaluations, Quality of Life

Division of Program Coordination Planning and Strategic Initiatives
2018-2020

National Cancer Institute
2019-2020

Patient performance status is routinely used in oncology to estimate physical functioning, an important factor clinical treatment decisions and eligibility for trials. However, validity reliability data ratings of have not been optimal. This study recruited patients who were about begin emetogenic palliative or adjuvant chemotherapy solid tumors. We employed actigraphy as the gold standard activity level. Correspondences between oncologists' patients' examined compared with correspondences...

10.1186/s41687-019-0136-z article EN cc-by Journal of Patient-Reported Outcomes 2019-07-16

PURPOSE Unplanned health care encounters (UHEs) such as emergency room visits can occur commonly during cancer chemotherapy treatments. Patients at an increased risk of UHEs are typically identified by clinicians using performance status (PS) assessments based on a descriptive scale, the Eastern Cooperative Oncology Group (ECOG) scale. Such be bias prone, resulting in PS score disagreements between assessors. We therefore propose to evaluate physical activity measurements (eg, energy...

10.1200/cci.20.00023 article EN cc-by-nc-nd JCO Clinical Cancer Informatics 2020-09-24

PURPOSE Performance status (PS) is a key factor in oncologic decision making, but conventional scales used to measure PS vary among observers. Consumer-grade biometric sensors have previously been identified as objective alternatives the assessment of PS. Here, we investigate how one such sensor can be during clinic visit identify patients who are at risk for complications, particularly unexpected hospitalizations that may delay treatment or result low physical activity. We aim provide novel...

10.1200/cci.20.00010 article EN cc-by-nc-nd JCO Clinical Cancer Informatics 2020-06-29

6519 Background: Functional status and predictors that identify those cancer patients at risk for unplanned hospitalization can have broad implications the health care system clinical trials. We evaluated feasibility of monitoring physical activity (PA) using wearable trackers in on highly emetogenic chemo as well potential correlations between PA healthcare events (UHE) ECOG scores. Methods: This study was conducted a multi-institutional single arm observational trial 65 with solid tumors...

10.1200/jco.2018.36.15_suppl.6519 article EN Journal of Clinical Oncology 2018-05-20
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