Theory-based Analysis of Financial Toxicity in Chronic Myeloid Leukemia Survivors Restricted; Files Only
Jin, Ruiqi (Fall 2024)
Abstract
Financial toxicity (FT) refers to the adverse impact of cancer diagnosis, treatment, and survivorship on a patient’s financial well-being and is particularly pertinent for chronic myeloid leukemia (CML) survivors who are often prescribed costly tyrosine kinase inhibitors (TKIs) for life. This dissertation study aims to characterize the mechanism of FT based on a modified FT theoretical model and evaluate the 12-month longitudinal trends of FT and the impact of FT on health outcomes by analyzing data from an R01 study (CA236871, PI: Yeager). Dr Yeager’s study assessed adherence to TKIs and related factors monthly for a year among adult CML survivors. Data included patient-reported questionnaires (sociodemographic factors, out-of-pocket [OOP] payments for healthcare services, patients’ responses [financial sacrifice, debt or bankruptcy, treatment non-adherence], and health outcomes [psychoneurological symptom (PNS) cluster, health-related quality of life [HRQoL], and distress). Disease and clinical factors were abstracted from medical records.
Paper One describes a cross-sectional analysis of 129 CML survivors (mean age 49.7 years, 49% female, 43% non-White) revealed that higher FT levels were associated with adverse health outcomes (β=0.33, P<.01). Risk factors for FT included lower education, lower income, non-private insurance, and racial minority status (β=0.51, P<.001).
Paper Two analyses over 12 months (N=104 at the 6th month, N=102 at the 12th month) showed that FT, HRQoL, and distress were stable over time. Lower FT was associated with private insurance (β=6.41, P<.001), higher education, and partnered status, though these protective effects were diminished for lower-income and racial minority patients.
In Paper Three, higher HRQoL was linked to fully active performance status and income above the federal poverty level (P<.05). Distress was higher in patients with OOP payments for ancillary and supportive services and those with limited performance status. Interactions indicated that private insurance buffered against the negative effects of FT, and FT was less effective for those with a longer time since diagnosis (> 3 years) and partnered status.
The findings validate the FT theoretical model, highlighting the need to address multiple sociodemographic, clinical, and financial barriers, which should be included in FT screening and interventions throughout the treatment continuum.
Table of Contents
INTRODUCTION 1
Statement of the Problem 1
Purpose 2
Specific Aims and Hypotheses 2
Relevance and Background 3
Theoretical Framework and Conceptual Model 5
Fig 1.1. The Modification of FT Theoretical Model for Survivors of CML 6
Approach 10
Table 1.1. Key Concepts, Variables, and Instruments at Each Time Point for Specific Aims 13
Data Analysis 16
Summary 17
References 18
PAPER 1 (Submitted for Under Review) Risk Factors, Behaviors, and Adverse Health Outcomes of Financial Toxicity in Adult Chronic Myeloid Leukemia Survivors: A Theory-based Structural Equation Model 29
Abstract 30
Introduction 31
Fig 2.1. FT Theoretical Model for CML Survivors Modified from Thomas et al.’s (2019) 33
Methods 33
Results 37
Table 2.1. Sociodemographic and Disease and Clinical Characteristics (N = 129) 38
Table 2.2. Descriptive Statistics of Key Measures (N = 129) 41
Fig 2.2. The initial SEM. 43
Fig 2.3. The full SEM. 44
Discussion 45
Conclusion 48
References 50
Supplement 57
Table 2.1S. Model Fit Statistics for Initial and Full Model 57
PAPER 2 Risk Factors for Financial Toxicity in Adult Survivors of Chronic Myeloid Leukemia: Findings from A Longitudinal Cohort Study 58
Abstract 59
Introduction 61
Methods 63
Results 66
Fig 3.1. Study Flowchart 67
Table 3.1. Sociodemographic and Disease and Clinical Characteristics for T0, T6, and T12 Participants 68
Fig 3.2. Longitudinal COST Scores at T0, T6 and T12 71
Fig 3.3. Longitudinal COST Grading at T0, T6 and T12 72
Table 3.2. Factors Associated with Longitudinal COST Scores in Univariable GLMMs 73
Table 3.3. Factors Associated with Longitudinal COST Scores in Multivariable GLMMs 76
Discussion 77
Conclusion 81
References 82
Supplement 91
Supplement Table 3.1S. Sensitivity Analyses Results between Raw and Imputed Variables at the T6 and T12 91
Supplement Table 3.2S. Variables Unassociated with Longitudinal COST Scores in Univariable GLMMs 93
PAPER 3 Characterizing and Exploring Relationships between Financial Toxicity and Health-related Quality of Life and Distress over Time in Adult Survivors of Chronic Myeloid Leukemia 95
Abstract 96
Introduction 98
Fig 4.1. Research Framework based on the Modified FT Theoretical Framework 100
Methods 100
Fig 4.2. Study Flowchart 101
Results 104
Table 4.1. Sociodemographic Characteristics of Participants at T0 (N=129) 105
Table 4.2. Disease and Clinical Characteristics, OOP Payments for Healthcare Services, and FT of Participants at T0 (N=129) 107
Table 4.3. Longitudinal Changes in HRQoL and Distress (N = 129) 109
Table 4.4. GLMMs of HRQoL (N = 129) 110
Table 4.5. GLMMs of HRQoL Distress (N = 129) 111
Discussion 112
Conclusion 116
References 117
Supplement 140
Supplement Table 4.1S. Sensitivity Analyses Results between Raw and Imputed Variables at the T6 and T12 140
DISCUSSION AND SYNTHESIS 142
Key Findings 142
Limitations 144
Implications 145
APPENDICES OF MAJOR INSTRUMENTS’ LINKS 148
Modified Collection of Indirect and Non-medical Direct Costs (COIN) Form 148
COmprehensive Score for Financial Toxicity (COST) 148
Selected sections of the Medical Expenditure Panel Survey Household Component (MEPS-HC) 148
Selected Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) 148
European Quality of Life Five-Dimension Five-Level (EQ-5D-5L) 148
National Comprehensive Cancer Network (NCCN) Distress Thermometer 148
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