- Browse by Author
Browsing by Author "Mosesso, Kelly M."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item An Automated Line-of-Therapy Algorithm for Adults With Metastatic Non-Small Cell Lung Cancer: Validation Study Using Blinded Manual Chart Review(JMIR Publications, 2021-10-12) Meng, Weilin; Mosesso, Kelly M.; Lane, Kathleen A.; Roberts, Anna R.; Griffith, Ashley; Ou, Wanmei; Dexter, Paul R.; Biostatistics & Health Data Science, School of MedicineBackground: Extraction of line-of-therapy (LOT) information from electronic health record and claims data is essential for determining longitudinal changes in systemic anticancer therapy in real-world clinical settings. Objective: The aim of this retrospective cohort analysis is to validate and refine our previously described open-source LOT algorithm by comparing the output of the algorithm with results obtained through blinded manual chart review. Methods: We used structured electronic health record data and clinical documents to identify 500 adult patients treated for metastatic non-small cell lung cancer with systemic anticancer therapy from 2011 to mid-2018; we assigned patients to training (n=350) and test (n=150) cohorts, randomly divided proportional to the overall ratio of simple:complex cases (n=254:246). Simple cases were patients who received one LOT and no maintenance therapy; complex cases were patients who received more than one LOT and/or maintenance therapy. Algorithmic changes were performed using the training cohort data, after which the refined algorithm was evaluated against the test cohort. Results: For simple cases, 16 instances of discordance between the LOT algorithm and chart review prerefinement were reduced to 8 instances postrefinement; in the test cohort, there was no discordance between algorithm and chart review. For complex cases, algorithm refinement reduced the discordance from 68 to 62 instances, with 37 instances in the test cohort. The percentage agreement between LOT algorithm output and chart review for patients who received one LOT was 89% prerefinement, 93% postrefinement, and 93% for the test cohort, whereas the likelihood of precise matching between algorithm output and chart review decreased with an increasing number of unique regimens. Several areas of discordance that arose from differing definitions of LOTs and maintenance therapy could not be objectively resolved because of a lack of precise definitions in the medical literature. Conclusions: Our findings identify common sources of discordance between the LOT algorithm and clinician documentation, providing the possibility of targeted algorithm refinement.Item Prevalence and Predictors of Symptoms in Persons with Advanced Dementia Living in the Community(Mary Ann Liebert, 2022) Kroenke, Kurt; Gao, Sujuan; Mosesso, Kelly M.; Hickman, Susan E.; Holtz, Laura R.; Torke, Alexia M.; Johnson, Nina M.; Sachs, Greg A.; Medicine, School of MedicineBackground: Behavioral, psychological, and physical symptoms are prevalent in advanced dementia, as well as major contributors to poor quality of life, health care costs, caregiver burden, and nursing home placement. Objectives: To determine the frequency and severity of symptoms in persons with advanced dementia living in the community, as well as the association between symptoms and satisfaction with care, and the identification of factors associated with symptom burden. Design: Baseline data from a clinical trial testing the effectiveness of collaborative care home-based management for patients with advanced dementia. Setting/Subjects: Two hundred and one patient-caregiver dyads from an urban area in the United States, who were still residing in the community. Measurements: Caregivers completed the Symptom Management in End-of-Life Dementia (SM-EOLD) and Satisfaction with Care in End-of-Life Dementia (SWC-EOLD) scales. Results: Patients' mean age was 83.1; 67.7% were women, and most were either White (50.2%) or African American (43.8%). Most (88.1%) had severe dementia (Functional Assessment Staging Tool [FAST] stage 6 or 7). SM-EOLD mean score was 29.3 (on 0–45 scale) and SWC-EOLD score was 32.6 (on 10–40 scale). Pain, agitation, anxiety, and resistiveness to care were present at least weekly in ≥40% of patients. Multivariable linear regression modeling showed that higher neuropsychiatric symptom severity (assessed by the Neuropsychiatric Inventory), increased caregiver strain, and higher medical comorbidity were all independently associated with increased symptom burden. Satisfaction with care was high and had only a modest correlation (r = 0.20) with symptom burden. Conclusions: Community-dwelling patients with advanced dementia and their caregivers may benefit from home-based palliative care interventions to identify and manage burdensome symptoms.