Journal of Peking University (Health Sciences) ›› 2025, Vol. 57 ›› Issue (4): 753-758. doi: 10.19723/j.issn.1671-167X.2025.04.020

Previous Articles     Next Articles

Impact of outpatient services utilization of heart failure patients on hospitalization rate and its threshold effect: Taking patients with Urban Employee Basic Medical Insurance in Zhejiang Province as an example

Huyang ZHANG1, Rize JING2, Jinxi WANG3, Hai FANG4,5,*()   

  1. 1. National School of Development, Peking University, Beijing 100871, China
    2. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
    3. Shanghai Songsheng Business Consulting Co. Ltd, Shanghai 201913, China
    4. China Center for Health Development Studies, Peking University, Beijing 100191, China
    5. Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Econo-mics, Beijing 100191, China
  • Received:2022-10-10 Online:2025-08-18 Published:2025-08-02
  • Contact: Hai FANG
  • Supported by:
    the National Natural Science Foundation of China(71774006)

RICH HTML

  

Abstract:

Objective: To examine the impact of outpatient service utilization on hospitalization rates in patients with heart failure, with a focus on identifying the threshold effect, and to provide evidence to support the design of outpatient medical insurance reimbursement policies for heart failure patients. Methods: Using a stratified random sampling method, individual reimbursement data of heart failure patients covered by Urban Employee Basic Medical Insurance in Zhejiang Province from year 2013 to 2017 were extracted. A panel fixed-effects logit regression model and a threshold effect model were applied to analyze the impact of annual outpatient service utilization in the previous year on the hospitalization rate in the current year and to identify the threshold effect. The annual outpatient service utilization indicators included the annual outpatient visits, annual outpatient expenses, annual outpatient drug expenses, and annual outpatient self-expenses within the policy. Hospitalization rate indicators comprised the annual hospitalization rate, rehospitalization rate within 30 days, and rehospitalization rate within 90 days. Results: (1) The study found that an increase in prior-year annual outpatient service utilization led to a decrease in the current-year annual hospitalization rate. However, the effects on the rehospitalization rate within 30 days and rehospitalization rate within 90 days were not statistically significant; (2) The thre-shold effect of prior-year annual outpatient service utilization on the current-year annual hospitalization rate was also identified. When the prior-year annual outpatient visits were less than or equal to the threshold (12 visits), the current-year annual hospitalization rate decreased as the prior-year annual outpatient visits increased and statistically significant, and the regression coefficient was not significant when the prior-year annual outpatient visits were higher than the threshold (12 visits). Correspondingly, the thresholds for annual outpatient expenses and annual outpatient self-expenses within policy in the previous year were 3 342.8 yuan and 736.9 yuan, respectively. Conclusion: There is a threshold effect of prior-year annual outpatient service utilization on the current year' s annual hospitalization rate in heart failure patients. These results have important implications for designing outpatient health insurance policies for heart failure patients to improve the patients' utilization of outpatient services and decrease the hospitalization rates. Specifically, policymakers should consider the identified thresholds when designing reimbursement policies for heart failure patients, which may help to optimize the use of medical resources and reduce the burden of medical expenses.

Key words: Urban Employee Basic Medical Insurance, Heart failure, Outpatient services utilization, Hospitalization rate, Threshold effect

CLC Number: 

  • R197.1

Table 1

Basic information of patients with heart failure in year 2017 (n=7 243)"

Items Data
Gender (Female), n(%) 3 087 (42.6)
Age, n(%)
    <50 years 828 (11.4)
    50-59 years 1 289 (17.8)
    60-69 years 1 559 (21.5)
    70-79 years 1 600 (22.1)
    ≥80 years 1 967 (27.2)
Annual hospitalization, n(%) 2 237 (30.9)
Rehospitalization within 30 days, n(%) 618 (27.6)
Rehospitalization within 90 days, n(%) 947 (42.3)
Annual outpatient visits, median (IQR) 24 (27)
Annual outpatient expenses/yuan, median (IQR) 6 240.7 (8 761.5)
Annual outpatient drug expenses/yuan, median (IQR) 2 389.0 (7 131.7)
Annual outpatient self-expenses within policy/yuan, median (IQR) 1 334.2 (2 239.0)
Having annual outpatient drug expenses, n(%) 4 994 (68.9)

Table 2

Impact of last year' s outpatient service utilization on whether to be hospitalized this year in Zhejiang Province (Logistic regression)"

Items Annual hospitalization rate Rehospitalization rate within 30 days Rehospitalization rate within 90 days
Model 1 Model 2 Model 1 Model 2 Model 1 Model 2
Annual outpatient visits
    Coefficient -0.14*** -0.16*** -0.025 -0.10 -0.047 -0.14
    95%CI -0.22, -0.07 -0.25, -0.07 -0.18, 0.13 -0.31, 0.10 -0.19, 0.10 -0.32, 0.05
    n 13 563 8 280 2 770 1 449 3 361 1 866
Annual outpatient expenses
    Coefficient -0.13*** -0.15*** -0.009 0 -0.034 0.002 8 -0.024
    95%CI -0.18, -0.08 -0.21, -0.09 -0.10, 0.09 -0.17, 0.10 -0.09, 0.10 -0.15, 0.10
    n 13 856 8 501 2 833 1 496 3 430 1 916
Annual outpatient drug expenses
    Coefficient -0.12*** -0.14*** -0.020 -0.013 -0.040 -0.063
    95%CI -0.18, -0.07 -0.21, -0.07 -0.13, 0.09 -0.16, 0.13 -0.15, 0.07 -0.20, 0.07
    n 10 281 6 272 2 328 1 198 2 757 1 527
Annual outpatient self-expenses within policy
    Coefficient -0.096*** -0.14*** -0.088 -0.086 -0.057 -0.11
    95%CI -0.15, -0.04 -0.20, -0.07 -0.20, 0.02 -0.23, 0.06 -0.16, 0.04 -0.25, 0.03
    n 11 971 7 263 2 526 1 331 3 031 1 693
Whether have annual outpatient drug expenses
    Coefficient -1.24*** -1.17*** -0.11 -0.22 -0.61** -0.75***
    95%CI -1.43, -1.04 -1.38, -0.96 -0.50, 0.28 -0.68, 0.23 -1.00, -0.23 -1.20, -0.31
    n 20 909 14 769 3 888 2 378 4 880 3 166

Table 3

Threshold effect of utilization of annual outpatient services on annual hospitalization rate (threshold regression)"

Variables of annual outpatient services Model 1 Model 2
Threshold Coefficients P value Threshold Coefficients P value
Annual outpatient visits ≤12.0 -0.165 0.069 ≤14.3 -0.286 0.002
>12.0 -0.138 0.787 >14.3 -0.116 0.111
Annual outpatient expenses/yuan ≤3 342.8 -0.083 0.059 ≤2 677.4 -0.108 0.064
>3 342.8 -0.149 0.207 >2 677.4 -0.171 0.351
Annual outpatient drug expenses/yuan ≤1 374.8 0.048 0.524 ≤1 169.7 0.018 0.847
>1 374.8 -0.155 0.012 >1 169.7 -0.169 0.059
Annual outpatient self-expenses within policy/yuan ≤736.9 -0.086 0.089 ≤983.7 -0.209 <0.001
>736.9 -0.100 0.807 >983.7 -0.086 0.071
1
简伟研. 门诊统筹制度与大病风险防范的关系分析[J]. 中国卫生政策研究, 2012, 5 (9): 67- 70.
2
简伟研, 方海. 门诊服务对住院服务替代效应的实证分析[J]. 北京大学学报(医学版), 2015, 47 (3): 459- 463.

doi: 10.3969/j.issn.1671-167X.2015.03.017
3
王震, 朱凤梅. 职工医保门诊保障模式改革基金收支情况测算[J]. 中国医疗保险, 2020 (11): 41- 48.
4
Chandra A , Gruber J , Mcknight R . Patient cost-sharing and hospitalization offsets in the elderly[J]. Am Econ Rev, 2010, 100 (1): 193- 213.
5
中国心血管健康与疾病报告编写组. 中国心血管健康与疾病报告2019概要[J]. 中国循环杂志, 2020, 35 (9): 833- 854.
6
Quan H , Sundararajan V , Halfon P , et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data[J]. Med care, 2005, 43 (11): 1130- 1139.
7
Hansen BE . Approximate asymptotic p values for structural-change tests[J]. J Bus Econ Stat, 1997, 15 (1): 60- 67.
8
柏星驰, 满晓玮, 程薇. 中国人口老龄化对居民医疗卫生支出的影响研究[J]. 中国卫生政策研究, 2021, 14 (5): 50- 58.
9
张冬儿, 谢静, 王庸非, 等. 公立医疗卫生机构资源水平对私立医疗卫生机构发展的影响(2002-2017): 基于门槛回归[J]. 中国卫生政策研究, 2019, 12 (9): 66- 71.
10
朱凤梅, 张小娟, 郝春鹏. 门诊保障制度改革: "以门诊换住院"的政策效应分析——基于中国职工医保抽样数据的实证检验[J]. 保险研究, 2021, 393 (1): 73- 90.
11
刘英圣, 修明文, 张东文, 等. 建立心衰门诊与降低慢性心力衰竭患者再住院率的临床观察[J]. 中国医疗前沿, 2007, 2 (10): 37- 38.
12
章湖洋, 简伟研, 李晨阳, 等. 门诊对住院服务的替代作用研究: 以北京市新型农村合作医疗高血压患者为例[J]. 中国卫生经济, 2016, 35 (6): 27- 32.
13
章湖洋, 简伟研, 方海. 新型农村合作医疗的高血压患者门诊费用对住院费用的替代效应[J]. 北京大学学报(医学版), 2016, 48 (3): 472- 477.

doi: 10.3969/j.issn.1671-167X.2016.03.017
14
刘铭雅, 李云婧, 朱伟, 等. 强化门诊随访对心力衰竭患者预后及依从性的影响[J]. 中华心血管病杂志, 2010, 38 (7): 588- 591.
15
Zhang Y , Donohue JM , Lave JR , et al. The effect of Medicare Part D on drug and medical spending[J]. N Engl J Med, 2009, 361 (1): 52- 61.
16
刘畅, 陶立波. 门特门慢政策的医保预算影响分析——以慢性心衰为例[J]. 中国医疗保险, 2020 (3): 66- 69.
17
封进, 吕思诺, 王贞. 医保起付线对医疗服务利用和医疗费用的影响[J]. 保险研究, 2021, 395 (3): 99- 111.
[1] Lan WANG, Yuliang MA, Weimin WANG, Tiangang ZHU, Wenying JIN, Hong ZHAO, Chengfu CAO, Jing WANG, Bailin JIANG. Predictive value of coronary microcirculation dysfunction after revascularization in patients with acute myocardial infarction for acute heart failure during hospitalization [J]. Journal of Peking University (Health Sciences), 2025, 57(2): 267-271.
[2] Yuanmei LIU, Yicheng FU, Jingxin HAO, Fuchun ZHANG, Huilin LIU. Construction and validation of a nomogram for predicting in-hospital postoperative heart failure in elderly patients with hip fracture [J]. Journal of Peking University (Health Sciences), 2024, 56(5): 874-883.
[3] ZHAO Yu-wei,WU Ming. Analysis on status and determinants of outpatient service utilization of rural floating population in Beijing at different residence time [J]. Journal of Peking University(Health Sciences), 2017, 49(3): 476-482.
[4] LI Hao, ZHANG You-Yi.
Roles of proinflammatory cytokines in cardiac remodeling induced by sympathetic nervous system /catecholamine
[J]. Journal of Peking University(Health Sciences), 2014, 46(6): 1001-1004.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!