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Volume 10
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10.1080/20016689.2022.2057651
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Journal of Market Access & Health Policy (JMAHP) is published by MDPI from Volume 12 Issue 1 (2024). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Taylor & Francis.
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Article

Cost-Saving Prediction Model of Transfer to Palliative Care for Terminal Cancer Patients in A Japanese General Hospital

by
Yuki Hashimoto
1,2,*,
Akitoshi Hayashi
3,
Takashi Tonegawa
4,
Lida Teng
1 and
Ataru Igarashi
1
1
Department of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, the University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
2
Department of Pharmacy, St. Luke’s International Hospital, Tokyo 104-8560, Japan
3
Palliative Care Department, St. Luke’s International Hospital, Tokyo 104-8560, Japan
4
Medical Affairs Department, St. Luke’s International Hospital, Tokyo 104-8560, Japan
*
Author to whom correspondence should be addressed.
J. Mark. Access Health Policy 2022, 10(1), 2057651; https://doi.org/10.1080/20016689.2022.2057651
Submission received: 30 January 2022 / Revised: 21 March 2022 / Accepted: 21 March 2022 / Published: 27 March 2022

Abstract

Background: Although medical costs need to be controlled, there are no easily applicable cost prediction models of transfer to palliative care (PC) for terminal cancer patients. Construct a cost-saving prediction model based on terminal cancer patients’ data at hospital admission. Study design: Retrospective cohort study. Setting: A Japanese general hospital. Patients: A total of 139 stage IV cancer patients transferred to PC, who died during hospitalization from April 2014 to March 2019. Main outcome measure: Patients were divided into higher (59) and lower (80) total medical costs per day after transfer to PC. We compared demographics, cancer type, medical history, and laboratory results between the groups. Stepwise logistic regression analysis was used for model development and area under the curve (AUC) calculation. Results: A cost-saving prediction model (AUC = 0.78, 95% CI: 0.70, 0.85) with a total score of 13 points was constructed as follows: 2 points each for age ≤ 74 years, creatinine ≥ 0.68 mg/dL, and lactate dehydrogenase ≤ 188 IU/L; 3 points for hemoglobin ≤ 8.8 g/dL; and 4 points for potassium ≤ 3.3 mEq/L. Conclusion: Our model contains five predictors easily available in clinical settings and exhibited good predictive ability.
Keywords: cost-saving; palliative care; terminal cancer; prediction model; health economics; end-of-life cost-saving; palliative care; terminal cancer; prediction model; health economics; end-of-life

Share and Cite

MDPI and ACS Style

Hashimoto, Y.; Hayashi, A.; Tonegawa, T.; Teng, L.; Igarashi, A. Cost-Saving Prediction Model of Transfer to Palliative Care for Terminal Cancer Patients in A Japanese General Hospital. J. Mark. Access Health Policy 2022, 10, 2057651. https://doi.org/10.1080/20016689.2022.2057651

AMA Style

Hashimoto Y, Hayashi A, Tonegawa T, Teng L, Igarashi A. Cost-Saving Prediction Model of Transfer to Palliative Care for Terminal Cancer Patients in A Japanese General Hospital. Journal of Market Access & Health Policy. 2022; 10(1):2057651. https://doi.org/10.1080/20016689.2022.2057651

Chicago/Turabian Style

Hashimoto, Yuki, Akitoshi Hayashi, Takashi Tonegawa, Lida Teng, and Ataru Igarashi. 2022. "Cost-Saving Prediction Model of Transfer to Palliative Care for Terminal Cancer Patients in A Japanese General Hospital" Journal of Market Access & Health Policy 10, no. 1: 2057651. https://doi.org/10.1080/20016689.2022.2057651

APA Style

Hashimoto, Y., Hayashi, A., Tonegawa, T., Teng, L., & Igarashi, A. (2022). Cost-Saving Prediction Model of Transfer to Palliative Care for Terminal Cancer Patients in A Japanese General Hospital. Journal of Market Access & Health Policy, 10(1), 2057651. https://doi.org/10.1080/20016689.2022.2057651

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