Abstract
To characterize the economic and humanistic burden of patients with hematologic malignancies in Japan using real-world data. Patients with a claim record for a hematologic malignancy who responded to a survey regarding productivity loss and quality of life (QoL) were analyzed to assess their direct medical cost, productivity loss, and QoL along with their levels of comorbidity. This study identified a main cohort of 122 patients with a hematologic malignancy who responded to Work Productivity and Activity Impairment (WPAI) and EQ-5D-5 L questionnaires. Median patient age was 54.5 years (range 25–71 years), with median Charlson Comorbidity Score (CCI) of 2. Most of the mean total cost (USD 12,836.14; JPY 1,670,624) was attributed to productivity loss (mean USD 8,106.39; JPY 1,055,046) rather than direct medical cost (mean USD 4,729.76; JPY 615,578). Presenteeism (mean USD 5,117.84; JPY 666,086) accounted for a greater proportion of productivity loss than absenteeism (mean USD 2,988.55; JPY 388,960). Deterioration in QoL (-0.045) was observed in comparison to the general population in Japan. The results point to the need for a social security policy to provide appropriate support such as better therapies or access for patients who must receive treatment while still working.
Data availability
The datasets generated and/or analyzed during the present study are not publicly available because they were purchased from commercial providers (JMDC Inc.) but are available from the corresponding author upon reasonable request.
References
Nguyen, P. T., Hori, M., Matsuda, T. & Katanoda, K. Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study. Cancer Epidemiol. Biomark. Prev 32, 1756–1770 (2023).
Tietschede MoraesHungria, V. et al. Epidemiology of Hematologic Malignancies in Real-World Settings: Findings From the Hemato-Oncology Latin America Observational Registry Study. J. Glob. Oncol. 5, 25 (2019).
Neelapu, S. S. et al. Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma. N. Engl. J. Med. 377, 2531–2544 (2017).
Nagl, L., Koinig, K., Hofer, F. & Stauder, R. Comorbidities cluster with impaired functional capacities and depressive mood and predict adverse outcome in older patients with hematological malignancies. Leuk. Lymphoma 61, 1954–1964 (2020).
Islam, M. S. Treat patient, not just the disease: holistic needs assessment for haematological cancer patients. Oncol. Rev. 12, 374 (2018).
Tsutsué, S., Tobinai, K., Yi, J. & Crawford, B. Comparative effectiveness study of chemotherapy in follicular lymphoma patients in the rituximab era: A Japanese claims database study. Future Oncol. 17, 455–469 (2021).
Tsutsué, S., Makita, S., Yi, J. & Crawford, B. Economic burden in treated japanese patients with relapsed/refractory large B-cell lymphoma. Future Oncol 17, 4511–4525 (2021).
Suzuki, K. et al. Real-world treatment patterns in multiple myeloma: Retrospective observational study using the Japan Medical Data Vision claims database (2012–2020). Preprint at https://doi.org/10.57352/ijm.14.5_27 (2024)
Tsutsué, S., Suzuki, T., Kim, H. & Crawford, B. Real-World Assessment of Myelodysplastic Syndrome: Japanese Claims Data Analysis. Future Oncol. 18, 93–104 (2022).
Tsutsué, S. et al. Real-world assessment to estimate multiple attributes related to treatment cost driver for mantle cell lymphoma in Japan by econometric modeling. BMC Health Serv. Res. 25, 149 (2025).
Tsutsué, S. et al. Cost drivers associated with autologous stem-cell transplant (ASCT) in patients with relapsed/refractory diffuse large B-cell lymphoma in a Japanese real-world setting: A structural equation model (SEM) analysis 2012–2022. PLOS ONE 20, e0317439 (2025).
Jo, C. Cost-of-illness studies: concepts, scopes, and methods. Clin. Mol. Hepatol. 20, 327–337 (2014).
Yang, K. et al. Productivity loss and indirect costs among non-hodgkin lymphoma patients and their caregivers. Blood 138, 4009–4009 (2021).
Elsawy, M. et al. Patient-reported outcomes in ZUMA-7, a phase 3 study of Axicabtagene Ciloleucel in second-line large B-cell lymphoma. Blood 140, 2248–2260 (2022).
Matheson, D., Abdel-Aty, H. & O’Shea, L. Quality of life measurements from the patient perspective: capturing the heterogeneity of the patient experience in a standardised way. Eur. Urol. Focus 9, 425–426 (2023).
Cressman, S. et al. Quality of life and socioeconomic indicators associated with survival of myeloid leukemias in Canada. eJHaem 1, 69–78 (2020).
Bennink, C. et al. Changes in income and employment after diagnosis among patients with multiple myeloma in The Netherlands. Clin. Lymphoma Myeloma Leuk. 24, 604–610 (2024).
La Nasa, G. et al. Health Related Quality of Life in Patients with Onco-hematological Diseases. Clin. Pract. Epidemiol. Ment. Health CP EMH 16, 174–179 (2020).
Paunescu, A.-C. et al. Quality of life of survivors 1 year after the diagnosis of diffuse large B-cell lymphoma: a LYSA study. Ann. Hematol. 101, 317–332 (2022).
The Dental and Pharmaceutical Benefits Agency. [Health economic assessment of the first CAR-T cell therapy, Yescarta]. https://www.tlv.se/press/nyheter/arkiv/2018-11-15-halsoekonomisk-bedomning-av-den-forsta-car-t-cellbehandlingen.html(2018).
Aronsson, M., Ling, C., Stevenson, A. & Brodtkorb, T. H. PNS220 submission process and requirements of nordic health technology assessment (hta) authorities for hospital drugs: implications for market access strategy. Value Health 22, S798 (2019)
Japanese Society for Pharmacoepidemiology.TheresultsofasurveyofdatabasesapplicabletoclinicalepidemiologyandpharmacoepidemiologyinJapan,Sep,2023.
Personal health record database.JMDC Real. World EN https://www.eng.phm-jmdc.com/phr-database.
Slejko, J. F. et al. Adherence to Statins in Primary Prevention: Yearly Adherence Changes and Outcomes. J. Manag. Care Pharm. JMCP 10.18553/jmcp.2014.20.1.51 (2014)
Canadian Cancer Society. Follow-up after treatment for acute myeloid leukemia. Canadian Cancer Society https://cancer.ca/en/cancer-information/cancer-types/acute-myeloid-leukemia-aml/treatment/follow-up(2022).
Rose, S. International Ethical Guidelines for Epidemiological Studies. Am. J. Epidemiol. 170, 1451–1452 (2009).
International Ethical Guidelines for Biomedical Research Involving Human Subjects. Council for international organizations of medical sciences. https://cioms.ch/publications/product/international-ethical-guidelines-for-biomedical-research-involving-human-subjects-2/.
Reilly, M., Zbrozek, A. & Dukes, E. The validity and reproducibility of a work productivity and activity impairment instrument. PharmacoEconomics 353–65 (1993).
Ikeda, S. et al. Developing a Japanese version of the EQ-5D-5L value set. J. Natl. Inst. Public Health (2015).
Shiroiwa, T. et al. Comparison of value set based on DCE and/or TTO data: Scoring for EQ-5D-5L health states in Japan. Value Health 19, 648–654 (2016).
Deyo, R. A., Cherkin, D. C. & Ciol, M. A. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J. Clin. Epidemiol. 45, 613–619 (1992).
Quan, H. et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med. Care 43, 1130 (2005).
Suwa, K. et al. Examining the association of smoking with work productivity and associated costs in Japan. J. Med. Econ. 20, 938–944 (2017).
Center for Outcomes Research and Economic Evaluation for Health.GuidelineforPreparingCost-EffectivenessEvaluationtotheCentralSocialInsuranceMedicalCouncil.https://c2h.niph.go.jp/tools/guideline/guideline_en_2024.pdf.
e-Stat. Survey of the basic statistics of wage structure, 2023. https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450091&tstat=000001011429&cycle=0&tclass1=000001213360&tclass2=000001215880&tclass3=000001215881&stat_infid=000040163660&cycle_facet=tclass1%3Atclass2%3Atclass3&tclass4val=0.
Bank of Japan. Major longitudinal statistical data table: foreign exchange rate. https://www.stat-search.boj.or.jp/ssi/mtshtml/fm08_m_1.html.
Sacks, N. C. et al. Costs and health resource use in patients with X-linked myotubular myopathy: insights from US commercial claims. J. Manag. Care Spec. Pharm. 27, 1019–1026 (2021).
Papke, L. & Wooldridge, E. (ed, J.) Econometric methods for fractional response variables with an application to 401(k) plan participation rates. J. Appl. Ecnonometrics 11 619–632 (1996).
Kurz, C. F. Tweedie distributions for fitting semicontinuous health care utilization cost data. BMC Med. Res. Methodol. 17, 171 (2017).
Leeper, T. J. Interpreting Regression Results using Average Marginal Effects with R’s margins. https://cran.r-project.org/web/packages/margins/vignettes/TechnicalDetails.pdf.
Rider, A., Bennett, B., Williams, R., Gillespie-Akar, L. & Gogate, A. 160P The relationship between employment status, work productivity and activity impairment (WPAI) and health-related quality of life (HRQoL) for patients (pts) with HR+/HER2- early stage breast cancer (BC). Ann. Oncol. 32, S430 (2021).
Shiroiwa, T., Noto, S. & Fukuda, T. Japanese population norms of EQ-5D-5L and health utilities index mark 3: Disutility catalog by disease and symptom in community settings. Value Health 24, 1193–1202 (2021).
von Elm, E. et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Int. J. Surg. 12, 1495–1499 (2014).
Hitch, J. et al. Challenges in value assessment for one-time gene therapies for inherited retinal diseases: are we turning a blind eye?. Value Health https://doi.org/10.1016/j.jval.2024.08.009 (2024).
Parker, C. et al. Patient perceived financial burden in haematological malignancies: a systematic review. Curr. Oncol. 29, 3807–3824 (2022).
Olivier, T., Haslam, A. & Prasad, V. Is financial toxicity captured in quality of life assessments in oncology randomized clinical trials?. J. Cancer Policy 36, 100423 (2023).
Nagano, M. et al. Public health and economic impact of periodic COVID-19 vaccination with BNT162b2 for old adults and High-Risk patients in an illustrative Prefecture of japan: A budget impact analysis. Infect. Dis. Ther. 13, 2155–2177 (2024).
de Vries, L. M., Brouwer, W. B. F. & van Baal, P. H. M. Benefits beyond health in the willingness to pay for a quality-adjusted life-year. Eur. J. Health Econ. doi: 10.1007/s10198-024-01726-7 (2024)
Ouchveridze, E. et al. Financial toxicity in hematological malignancies: a systematic review. Blood Cancer J. 12, 74 (2022).
Yoshimoto, T., Oka, H., Fujii, T., Nagata, T. & Matsudaira, K. The Economic Burden of Lost Productivity due to Presenteeism Caused by Health Conditions Among Workers in Japan. J. Occup. Environ. Med. 62, 883 (2020).
McClure, N. S., Sayah, F. A., Ohinmaa, A. & Johnson, J. A. Minimally Important Difference of the EQ-5D-5L Index Score in Adults with Type 2 Diabetes. Value Health 21, 1090–1097 (2018).
Cheng, L. J., Chen, L. A., Cheng, J. Y., Herdman, M. & Luo, N. Systematic review reveals that EQ-5D minimally important differences vary with treatment type and may decrease with increasing baseline score. J. Clin. Epidemiol. 174, 111487 (2024).
Yucel, E., Zhang, S. & Panjabi, S. Health-related and economic burden among family caregivers of patients with acute myeloid leukemia or hematological malignancies. Adv. Ther. 38, 5002–5024 (2021).
Suzuki, K. Progress of MM/CML Treatment and Medical Economics. Rinsho Ketsueki 61, 587–597 (2020).
Skalt, D. et al. Budget impact analysis of CAR T-cell therapy for adult patients with relapsed or refractory diffuse large B-cell lymphoma in Germany. HemaSphere 6, e736 (2022).
Ring, A. et al. Resource utilization for chimeric antigen receptor T cell therapy versus autologous hematopoietic cell transplantation in patients with B cell lymphoma. Ann. Hematol. 101, 1755–1767 (2022).
Tsutsué, S. et al. Cost–effectiveness analysis 3L of axicabtagene ciloleucel vs tisagenlecleucel and lisocabtagene maraleucel in Japan. Future Oncol. 20, 1333–1349 (2024).
Acknowledgements
This study is funded by Gilead Sciences Japan.
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ST conceived and designed this study. ST, KS, SL, RN, HN, HA, AM, TY analyzed the data and wrote the manuscript. ST, KS, SL, RN, HN, HA, AM, TY reviewed and approved the manuscript.
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AM and TY are employees of Gilead Sciences Japan. ST and HA area former employees of Gilead Sciences Japan. SL, RN, HN are employees of INTAGE Healthcare.KS received lecture fees from Takeda, ONO, Novartis, Sanofi, Bristol-Myers Squibb and Janssen outside of this work, has received advisory fees from SRL, and has held an endowed chair position with Janssen, Takeda, Pfizer and Bristol-Myers Squibb.
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The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. All data are anonymized, so the Ethical Guidelines for Epidemiological Research in Japan are not applicable to this study. In addition, the Ethical Guidelines on Biomedical Research Involving Human Subjects ascertain that written informed consent from patients is not required for such pharmaco-epidemiological studies conducted using medical databases, as the use of pre-existing data does not require any interaction with patients. Due to the retrospective nature of the study, the Ethics Committee of the Medical Corporation TOUKEIKAI Kitamachi Clinic Ethical Review Board waived the need of obtaining informed consent.
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Tsutsué, S., Suzuki, K., Lim, S. et al. Unveiling economic and humanistic burden of hematologic malignancies in Japan with personal health record data. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36287-7
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DOI: https://doi.org/10.1038/s41598-026-36287-7