High hospital-related burden of treatment for multiple myeloma patients: outcomes of a feasibility study using reimbursement data from electronic health records

被引:2
|
作者
Bennink, Christine [1 ,2 ]
van der Klift, Marjolein [3 ]
Sonneveld, Pieter [1 ]
Hazelzet, Jan A. [4 ]
Blommestein, Hedwig M. [5 ]
机构
[1] Erasmus MC, Dept Haematol, Doctor Molenwaterpl 40, NL-3015 GD Rotterdam, Netherlands
[2] Amphia, Dept Strategy, Breda, Netherlands
[3] Amphia Breda, Dept Haematol, Breda, Netherlands
[4] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[5] Erasmus Univ, Erasmus Sch Hlth Policy & Management, Rotterdam, Netherlands
关键词
Treatment burden; Multiple myeloma; Chronic lymphoid leukaemia; Electronic health record; CARE UTILIZATION; COSTS;
D O I
10.1016/j.hlpt.2022.100695
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: Multiple Myeloma (MM) is an incurable plasma cell malignancy with intensive and prolonged treatment, presumably causing a considerable burden of treatment on patients. The concept of treatment burden is defined as the work of being a patient and its impact on well-being. However, there is no consistent definition and method to measure treatment burden in patients with MM. Therefore, the aim of this study was to determine the burden of treatment in MM patients and to compare it to Chronic Lymphoid Leukaemia (CLL).Methods: We conducted a retrospective analysis using reimbursement data from electronic health records (EHR) to calculate treatment burden. Treatment burden was defined as the number of hospital visits on unique days. After data clearance, data were analysed using descriptive statistics comparing treatment burden between different types of visits, age groups, years since diagnosis, and between MM and CLL patients.Results: Reimbursement data of 176 MM and 173 CLL patients were included in the analysis, which showed i) highest treatment burden in the first year immediately after diagnosis, ii) small differences between age groups (total visits year 0: 68.2 <= 65/63.8>65 years in MM and 21.7 <= 65/25.6>65 years in CLL), iii) higher treatment rates with more treatment burden in MM patients compared to CLL. Conclusion: EHR reimbursement data provided useful information to measure treatment burden and showed higher burden in MM patients compared to CLL patients. With improving survival, measuring burden of treatment in clinical practice in patients with MM contributes to decreasing treatment burden and more patient-centred care.Conclusion: EHR reimbursement data provided useful information to measure treatment burden and showed higher burden in MM patients compared to CLL patients. With improving survival, measuring burden of treatment in clinical practice in patients with MM contributes to decreasing treatment burden and more patientcentred care.Public interest summary: As in other malignant diseases, new treatment options dramatically improved survival in patients with multiple myeloma (MM). As a consequence, MM patients undergo intensive and intermittent periods of treatment, which causes a considerable burden of treatment. In this study we used data retrieved from Electronic Health Records (EHR) from 176 patients with MM and 173 patients with chronic lymphoid leukaemia (CLL) (both haematological diseases), to measure and analyse patients' burden of undergoing treatment. The results showed that EHR-data provided useful information to determine treatment burden in patients and that treatment burden is considerably higher in patients with MM compared to CLL patients. Further development of this method makes it possible to frequently monitor and evaluate treatment burden. Eventually, this may help health care professionals to provide more patient-centred care and improve quality of life by reducing treatment burden.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] High Hospital-related Costs at the End-of-life in Patients With Multiple Myeloma: A Single-center Study
    Bennink, Christine
    Westgeest, Hans
    Schoonen, Daan
    Boersen, Femke
    Sonneveld, Pieter
    Hazelzet, Jan
    Blommestein, Hedwig
    van der Klift, Marjolein
    HEMASPHERE, 2023, 7 (06):
  • [2] Identifying Multiple Myeloma Patients Using Automated Data Capture from Electronic Medical Records
    Rosenberg, Aaron S.
    Riedl, Albert William
    Quan, Michelle A.
    Ang, Kwan-Keat
    Tuscano, Joseph M.
    Esteghamat, Naseem S.
    Jonas, Brian A.
    Graff, John
    Renquist, Matthew
    Cawood, Joseph
    Welborn, Jeanna L.
    Hoeg, Rasmus T.
    Kaesberg, Paul R.
    Anderson, Kent
    Adams, Jason Y.
    Keegan, Theresa H. M.
    BLOOD, 2022, 140 : 7929 - 7931
  • [3] Feasibility study of hospital antimicrobial stewardship analytics using electronic health records
    Dutey-Magni, P. F.
    Gill, M. J.
    McNulty, D.
    Sohal, G.
    Hayward, A.
    Shallcross, L.
    JAC-ANTIMICROBIAL RESISTANCE, 2021, 3 (01):
  • [4] Agreement between electronic health records and administrative claims data for patients with multiple myeloma
    McGrath, Leah J.
    Hernandez, Rohini K.
    Yu, Ying
    Overman, Robert A.
    Reams, Diane
    Liede, Alexander
    Brookhart, M. Alan
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 : 86 - 86
  • [5] Measuring Frailty Using Patient-Reported Outcomes (PRO) Data: A Feasibility Study in Patients with Multiple Myeloma
    Meena N. Murugappan
    Bellinda L. King-Kallimanis
    Vishal Bhatnagar
    Bindu Kanapuru
    Joel F. Farley
    Randall D. Seifert
    David D. Stenehjem
    Ting-Yu Chen
    Erica G. Horodniceanu
    Paul G. Kluetz
    Quality of Life Research, 2023, 32 : 2281 - 2292
  • [6] Measuring Frailty Using Patient-Reported Outcomes (PRO) Data: A Feasibility Study in Patients with Multiple Myeloma
    Murugappan, Meena N. N.
    King-Kallimanis, Bellinda L. L.
    Bhatnagar, Vishal
    Kanapuru, Bindu
    Farley, Joel F. F.
    Seifert, Randall D. D.
    Stenehjem, David D. D.
    Chen, Ting-Yu
    Horodniceanu, Erica G. G.
    Kluetz, Paul G. G.
    QUALITY OF LIFE RESEARCH, 2023, 32 (08) : 2281 - 2292
  • [7] Approximating International Myeloma Working Group Uniform Response Criteria to Derive Response for Multiple Myeloma (MM) Patients Using Data from Electronic Health Records (EHR)
    Foster, Rebekah B.
    Tromanhauser, Max
    Gayer, Christopher
    Gonzales, Patrick K.
    Maignan, Kathleen
    Opong, Adomah S.
    Torres, Aracelis Z.
    Carson, Kenneth R.
    BLOOD, 2019, 134
  • [8] COMPARISON OF TREATMENT-RELATED ADVERSE EVENTS RECORDED IN ADMINISTRATIVE CLAIMS DATA WITH THOSE RECORDED IN ELECTRONIC MEDICAL RECORDS FOR MULTIPLE MYELOMA PATIENTS
    Irwin, D. R.
    Varker, H.
    Farr, A. M.
    VALUE IN HEALTH, 2015, 18 (07) : A683 - A683
  • [9] Health-related quality of life outcomes from the CANDOR study in patients with relapsed or refractory multiple myeloma
    Siegel, David
    Weisel, Katja
    Zahlten-Kumeli, Anita
    Medhekar, Rohan
    Ding, Bifeng
    Leleu, Xavier
    LEUKEMIA & LYMPHOMA, 2021, 62 (12) : 3002 - 3010
  • [10] Estimation of years of life lost using electronic health records: Application on patients with multiple myeloma in the SNDS database
    Denis, Helene
    Herquelot, Eleonore
    Assi, Nada
    Javelot, Matthieu
    Raguideau, Fanny
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2022, 31 : 449 - 449