Evidence map›Paper›PMID 40813984›Full record

ArticleBMC health services research2025

The impact of deep brain stimulation payment adjustments on healthcare utilization in Shanghai, China: a regression discontinuity analysis of health insurance claims.

Qian Xing, Tianchi Chen, Hongfei Hu, Da He, Wei Wang, Yue Yin, Haiyin Wang

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qian XingDepartment of Health Technology Assessment, Shanghai Health Development Research Center, Shanghai Medical Information Center), Shanghai, 201199, China.
Tianchi ChenPharmaceutical Services Management Department, Shanghai Medical Security Bureau, Shanghai, 200125, China.
Hongfei HuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 210009, China.
Da HeDepartment of Health Technology Assessment, Shanghai Health Development Research Center, Shanghai Medical Information Center), Shanghai, 201199, China.
Wei WangDepartment of Health Technology Assessment, Shanghai Health Development Research Center, Shanghai Medical Information Center), Shanghai, 201199, China.
Yue YinSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 210009, China.
Haiyin WangDepartment of Health Technology Assessment, Shanghai Health Development Research Center, Shanghai Medical Information Center), Shanghai, 201199, China. wanghaiyin@shdrc.org.

Funding

Shanghai Municipal Science and Technology Commission under the 2025 High-Level Institution Development Program- Soft Science Research 25692113900
6 · The paper itself

Abstract

BACKGROUND AND

objectivesRecently, the financial burden on medical insurance funds has increased rapidly. The policy effects of paying for innovation await scientific measurement. This study uses DBS, a high-value medical product, as an example to quantify the causal effect of insurance coverage changes on healthcare utilization, informing global value-based payment strategies.

methodsWe identified 2,665 DBS-related records. After excluding cases with missing data, no implantation, diagnoses for comorbidity management or device adjustment, pre-surgery admissions, and abnormal length of stay, 2,471 cases were included for analysis. A nonparametric sharp regression discontinuity design was adopted to assess the causal effects of reimbursement strategy adjustments on eight measures of healthcare utilization. In addition, we performed robustness analyses.

resultsThe reimbursement strategy adjustment significantly reduced the individual out-of-pocket expenditure (β=-109,051.30, P < 0.001), increased medical insurance reimbursement cost (β = 128,347.14, P < 0.001), and shortened both the average length of recovery (β=-28.23, P < 0.01)and the average length of stay (β=-37.41, P < 0.001). After accounting for covariates, the results remained significant, though the effect estimates were all attenuated, suggesting a strong association between demographic and medical characteristics and healthcare utilization. Additionally, the effects on total surgical cost, surgical consumable cost and proportion of drug costs were not statistically significant at the 0.05 level.

conclusionThe medical insurance reimbursement strategy adjustment effectively reduces patients' economic burden and improves healthcare utilization. However, it is crucial to consider strengthening cost monitoring for high-value medical technologies, optimizing clinical pathways, and balancing the interests of patients, hospitals, and insurance funds.

Indexed as

Deep Brain StimulationInsurance, HealthInsurance, Health, ReimbursementPatient Acceptance of Health CareAdultAgedChinaFemaleHealth ExpendituresHumansInsurance Claim ReviewLength of StayMaleMiddle AgedRegression AnalysisChinaHealthcare utilizationMedical insurance reimbursementRegression discontinuity design

Identifiers

PMID40813984
PMCPMC12352004

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.