ZHAO JIEYU

Faculty of Health Sciences Health Sciences Health SciencesSpecially Appointed Assistant Professor
Last Updated :2026/03/03

■Researcher basic information

Researchmap personal page

Researcher number

  • 91015122

Research Keyword

  • 健康科学
  • 医療経済学
  • 医療ビッグデータ解析
  • 医療統計学
  • 公衆衛生学
  • 健康技術評価(HTA)
  • 臨床薬学

Research Field

  • Life sciences, Healthcare management, medical sociology
  • Life sciences, Clinical pharmacy

Educational Organization

■Career

Career

  • Feb. 2014 - Aug. 2016
    北京大学第三病院, 入院患者向けIV調製センター, 薬剤師, China
  • Aug. 2012 - Jan. 2014
    北京大学第三病院, 外来患者向けIV調製センター, 薬剤師, China
  • Jan. 2010 - Jul. 2012
    北京大学第三病院, 眼科薬局, 薬剤師, China
  • Sep. 2008 - Dec. 2009
    北京大学第三病院, 薬剤部・IV調製センター, 薬剤師, China
  • Aug. 2004 - Aug. 2008
    北京大学第三病院, 外来薬局および救急薬局, 薬剤師, China

Educational Background

  • Apr. 2021 - Mar. 2024, Hokkaido University, Graduate School of Health Sciences, 保健科学専攻, Japan
  • Sep. 2016 - Jul. 2019, 北京大学, 薬学学部, 臨床薬学学科, China
  • Sep. 2009 - Jul. 2014, 北京大学, 薬学学部, 薬学学科
  • Sep. 2001 - Jul. 2004, 北京大学, 薬学学部, 薬学実践学科, China

■Research activity information

Papers

  • Assessing regional healthcare service efficiency in China: a ten-year data envelopment analysis [2010–2019]
    Jieyu Zhao, Katsuhiko Ogasawara
    Journal of Hospital Management and Health Policy, 8, 23, 23, AME Publishing Company, Dec. 2024
    Scientific journal
  • Are There Shortages and Regional Disparities in Lecanemab Treatment Facilities? A Cross-Sectional Study.
    Kazuki Ohashi, Ikuko Takahashi-Iwata, Zhao Jieyu, Ken Sakushima, Ichiro Yabe, Katsuhiko Ogasawara
    Health services insights, 17, 11786329241299312, 11786329241299312, 2024, [International Magazine]
    English, Scientific journal, INTRODUCTION: Alzheimer disease (AD) is the most common type of dementia, affecting 70% of patients with dementia. In Japan, over 5 million people aged 65 years and older had dementia in 2018, and this figure is expected to rise to 25% to 30% of this age group by 2045. In Japan, lecanemab, which was approved in 2023, is expected to be a new treatment for AD. However, lecanemab requires stringent management, including amyloid PET scans and MRI monitoring, necessitating specialized facilities, creating concerns regarding the lack of treatment facilities and poor treatment access. METHODS: This study assessed spatial accessibility to lecanemab in Hokkaido, Japan, using geographic information system data. Hospitals were categorized into 3 scenarios based on their capacity to meet the treatment criteria. Service area analysis in each scenario evaluated the population coverage within 30-, 60-, and 120-minute travel times. The inverted two-step floating catchment area method was used to calculate the potential high-demand areas index (PHDI) for each hospital. RESULTS: Population coverage ranged from 56% to 97%, depending on the scenario and travel time. Coverage for the most feasible scenario (Scenario 1) was 56%, 73.9%, and 88.3% within 30, 60, and 120 minutes, respectively. Northern and southern Hokkaido had the lowest coverage. PHDI analysis identified high-demand areas, with Sapporo facing potential overcapacity issues. CONCLUSION: Lecanemab highlights the need for strategic resource allocation to enhance accessibility and capacity. Establishing additional treatment centers, particularly in areas with poor accessibility and capacity, is crucial to maximize the benefits of treatment for dementia.
  • Measuring the Inequalities in the Distribution of Public Healthcare Resources by the HRDI (Health Resources Density Index): Data Analysis from 2010 to 2019.
    Jieyu Zhao, Yuchen Yang, Katsuhiko Ogasawara
    Healthcare (Basel, Switzerland), 10, 8, 27 Jul. 2022, [International Magazine]
    English, Scientific journal, BACKGROUND: In China, a developing country, the imbalance of development exists in different fields, and the inequalities in the distribution of healthcare services have garnered increasing attention. This study aimed to assess the healthcare services allocation and compare the latest distribution ratios of the essential healthcare indicators with the national requirement values announced by the government to research the level of healthcare development in China. METHODS: Data were extracted from the Chinese Statistical Yearbook (2010-2019). The Healthcare Resource Density Index (HRDI) was used to evaluate equity in the demographic and geographical dimensions. The requirement values related to the ratio of doctors, nurses, and institution beds per thousand people were drawn from government documents. The data of healthcare serviceability indicators were compared with those requirements to check the situation of each province's medical development. RESULTS: From 2010 to 2018, there was a sustainable upward trend in government investment, however, a noticeable drop in the investment in northeast areas was seen. Although the HRDI of the institutions, beds, doctors, and nurses experienced some small fluctuations over the years, the developing areas in the middle-west areas had almost approached the level of developed east areas. There were only four provinces that met the requirements of the government in all three indicators (the ratio of institution beds, doctors, and nurses per thousand people). CONCLUSION: The equality of the distribution of healthcare services in China was unfair between the eastern and middle-western areas. The government launched the developing requirements and paid additional attention to narrowing the imbalance among different economic level regions to meet the needs of the local people. Although many provinces did not meet the requirements for medical resources in 2019, the distribution of healthcare services was approached relatively equitably countrywide.

Other Activities and Achievements

Lectures, oral presentations, etc.

  • 北海道におけるCOVID-19パンデミック前後の疾患別死亡率の変動に関する研究               
    趙捷宇, 大橋和貴, 杉村直孝, 小笠原克彦
    第44回医療情報学連合大会, 23 Nov. 2024, Japanese
    21 Nov. 2024 - 24 Nov. 2024
  • An analysis of the equality of health system resources in China by two methods               
    Zhao Jieyu, Katsuhiko Ogasawara
    第43回医療情報学連合大会, English

Affiliated academic society

  • Sep. 2024 - Present
    日本医療・病院管理学会               
  • Jun. 2023 - Present
    日本医療情報学会