Quality of Life and Productivity Costs in Cancer Patients Receiving Proton Therapy: A Predictive and Descriptive Study

Author(s)

Diego A. Larrotta-Castillo, MD1, Margriet Sattler, MD2, Michiel Kroesen, MD2, Wouter Iserief, MSc(c)1, Carin Uyl-De Groot, PhD1, Mischa Hoogeman, PhD2, Hedwig M. Blommestein, PhD1.
1Erasmus School of Health Policy and Law, Rotterdam, Netherlands, 2HollandPTC, Delft, Netherlands.
OBJECTIVES: In The Netherlands, proton therapy (PT) is selectively used based on model-based indications, including head and neck (HNC) and breast cancer (BC), to minimize radiation-related toxicity. This study describes EQ5D-5L-derived health-related quality of life (HrQoL) and productivity costs measured via the iMTA Productivity Cost Questionnaire (iPCQ) in HNC and BC patients treated with PT as part of multimodality systemic treatment. A second objective is to develop a regression model to predict productivity costs from HrQoL data when productivity loss is not collected.
METHODS: Patient characteristics and outcomes from HrQoL and productivity questionnaires were collected at baseline, end-of-treatment, and at 6, 12, and 24 months post-PT. Results were summarized across timepoints using frequency tables. HrQoL was assessed via EQ5D-5L; productivity costs, including absenteeism and presenteeism, were measured in hours via the iPCQ. Missing HrQoL and productivity data were handled with multiple imputation. A generalized estimating equation (GEE) model accounted for intra-subject correlation and identified HrQoL domains associated with productivity loss.
RESULTS: A total of 224 patients completed EQ5D-5L questionnaires over a 2-year follow-up. HrQoL declined slightly at end of treatment but improved thereafter among reporting patients. Productivity cost data were available for 155 patients. Absenteeism was highest at baseline (mean = 107.2 ± 37.3 hours), decreasing by 2 years (75.3 ± 65.5); presenteeism decreased from 18.5 ± 12.8 to 15.3 ± 13.3 hours. The prediction model showed a significant negative association between higher scores in the EQ5D-5L self-care domain and the probability of attending work (β = -41.1, 95% CI: -44.3 to -38.0).
CONCLUSIONS: This study highlights dynamic changes in HrQoL and productivity costs among cancer patients treated with PT. Findings highlight the utility of patient-reported outcomes in estimating indirect costs and support their integration into health economic models informing value-based care and reimbursement strategies.

Conference/Value in Health Info

2025-11, ISPOR Europe 2025, Glasgow, Scotland

Value in Health, Volume 28, Issue S2

Code

HTA276

Topic

Economic Evaluation, Health Technology Assessment, Methodological & Statistical Research

Disease

Oncology

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