Research Goals   1. Describe the population seen in the SAOC over the past 6 years  Remediate and complete the EPIC flowsheets  Merge data with existing RedCAP dat

Chapman, DO, FACP, Andrew

de Louw, MD, Emma

Hersh, MD, Lauren

Swartz, MD, Kristine

Weissberger, MD, MS, Michael

English

Jefferson Digital Commons

Problem Definition- Older patients with cancer frequently are under-or over-treated- Population is heterogeneous (comorbidity, functional status cognitive status, etc.)- Chronological age is not a good predictor of treatment tolerability & efficacy- Functional age is difficult to assess- The SAOC at SKCC is multidisciplinary clinic providing comprehensive geriatric assessments for older patients with cancer - The goal is to assess functional age and make treatment recommendations to the referring oncologist.- Patients assessed by oncology, geriatrics, nutrition, social work, and pharmacy- More than 50 variables are collected across these domains- The center has been active since 2013, and has seen more than 500 patients- Clinic population has not been characterized since 2014.- Data is stored in multiple databases, including Epic flowsheets- The data is inconsistently documented (often only in the notes)Research Goals1. Describe the population seen in the SAOC over the past 6 years2. Remediate and complete the EPIC flowsheets3. Merge data with existing RedCAP dataMethods- Developed a tool to export data from EPIC- Extensive work with Jeff’s Epic department- Exported data with this tool- Remediate data exported (validation, cleaning)- Many records were incomplete and required chart review (data kept in notes, not in flowsheet)- Ongoing process to correct EPIC flowsheets- Exported and merged data from RedCAP- Calculated descriptive statistics for data fields collectedResultsNext Steps and Lessons Learned- Met Goal: described clinic patients- Improved quality of data collected significantly- Produced tool to export data from EPIC for ongoing use- Next steps:- Securing outcome data (mortality, treatment outcome, remission, quality of life)- Further description of these data: correlations and relationships between fields we report hereExperience with a Comprehensive Multidisciplinary Geriatric Oncology CenterMichael Weissberger MD MS, Emma de Louw MD, Kristine Swartz MD, Lauren Hersh MD, Andrew Chapman DO FACP Thomas Jefferson University Hospital124248108165050100150200250300Fit Vulnerable Frail N/ABalducci Frailty Category- Over 150 records were missing data in the flowsheets with data present in the notes- Majority of patients over 8 years in the “Vulnerable” or “Frail” category.- 35% dependent on at least one IADL- 28% dependent on at least one ADLResults465 patient’s data evaluated from 2014 through the present:- Mini-cog: 50.1% normal- Timed Up-And-Go: 50% normal- Polypharmacy: 48% normal- Complementary & alternative medications: 25% Positive- Avg Life Expectancy: 10.5 yr- Lee 4-year Mortality: 40%- Geriatric depression scale: 32% abnormal- Distress thermometer: 3.6/10 average- Has prescription coverage: 93%- Mini nutritional assessment: 10.6 average- Has financial need: 11%- Has advanced directive: 51% No

Experience with a Comprehensive Multidisciplinary Geriatric Oncology Center

https://jdc.jefferson.edu/cgi/viewcontent.cgi?article=1006&context=patientsafetyconference

Experience with a Comprehensive Multidisciplinary Geriatric Oncology Center

Abstract

Similar works

Full text

Available Versions

Jefferson Digital Commons