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Trajectories of Hospitalization Cost Among Patients of End-Stage Lung Cancer: A Retrospective Study in China

Author

Listed:
  • Zhong Li

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Shan Jiang

    (School of Health Policy and Management, Nanjing Medical University, Nanjing 211166, China)

  • Ruibo He

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Yihan Dong

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Zijin Pan

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Chengzhong Xu

    (Yichang Center for Disease Control and Prevention, Yichang 443000, China)

  • Fangfang Lu

    (Yichang Center for Disease Control and Prevention, Yichang 443000, China)

  • Pei Zhang

    (Yichang Center for Disease Control and Prevention, Yichang 443000, China)

  • Liang Zhang

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

Abstract

This study was conducted to investigate the trajectory of hospitalization costs, and to assess the determinants related to the membership of the identified trajectories, with the view of recommending future research directions. A retrospective study was performed in urban Yichang, China, where a total of 134 end-stage lung cancer patients were selected. The latent class analysis (LCA) model was used to investigate the heterogeneity in the trajectory of hospitalization cost amongst the different groups that were identified. A multi-nominal logit model was applied to explore the attributes of different classes. Three classes were defined as follows: Class 1 represented the trajectory with minimal cost, which had increased over the last two months. Classes 2 and 3 consisted of patients that incurred high costs, which had declined with the impending death of the patient. Patients in class 3 had a higher average cost than those in Class 2. The level of education, hospitalization, and place of death, were the attributes of membership to the different classes. LCA was useful in quantifying heterogeneity amongst the patients. The results showed the attributes were embedded in hospitalization cost trajectories. These findings are applicable to early identification and intervention in palliative care. Future studies should focus on the validation of the proposed model in clinical settings, as well as to identify the determinants of early discharge or aggressive care.

Suggested Citation

  • Zhong Li & Shan Jiang & Ruibo He & Yihan Dong & Zijin Pan & Chengzhong Xu & Fangfang Lu & Pei Zhang & Liang Zhang, 2018. "Trajectories of Hospitalization Cost Among Patients of End-Stage Lung Cancer: A Retrospective Study in China," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2877-:d:190800
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    References listed on IDEAS

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    1. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    2. Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489, September.
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    1. Zijing Pan & Wanchun Xu & Zhong Li & Chengzhong Xu & Fangfang Lu & Pei Zhang & Liang Zhang & Ting Ye, 2020. "Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China," IJERPH, MDPI, vol. 17(3), pages 1-15, January.

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