The rural three-tier healthcare system is an essential part of the Chinese healthcare service system. To ensure rural residents' equal access to such healthcare services, it is necessary to examine the current status of the healthcare system in rural China and formulate corresponding improvement suggestions. This study therefore collects the data from the China Health Statistics Yearbook, the China Health Yearbook and the China Statistical Yearbook between the years 2004 and 2021 to calculate the Gini coefficient (G), health resource density index (HRDI) and Theil index (T) first, and then perform the Mann-Kendall test afterwards to evaluate the equity of healthcare resource allocation comprehensively. This series of analysis helps in drawing the following conclusions: (1) county and county-level city medical and health institutions (CMHIs) show a higher development trend in comparison with township hospitals (THs) and village clinics (VCs); (2) VCs have higher institutional fairness, while for beds and personnel, CMHIs and THs are more fairly positioned; (3) more specifically for CMHIs and THs, personnel allocation is more fair than beds and institution allocations; (4) the density of healthcare resources in the eastern and central regions is higher than that in the western part, while the intra-regional distribution of beds and personnel in the west and central regions is better than that in the eastern region; (5) intra-regional differences are more significant than inter-regional differences and the fairness according to population distribution is higher than that of geographical area allocation. The results of this study provide theoretical basis for further optimizing the allocation of healthcare resources and improving the fairness of healthcare resources allocation from a macro perspective.
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http://dx.doi.org/10.3390/ijerph19116589 | DOI Listing |
Ann Intern Med
January 2025
Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (R.J.D., N.K.C., N.H., J.C.L.).
Background: The evidence informing the harms of gabapentin use are at risk of bias from comparing users with nonusers.
Objective: To describe the risk for fall-related outcomes in older adults starting treatment with gabapentin versus duloxetine.
Design: New user, active comparator study using a target trial emulation framework.
J Med Internet Res
January 2025
Working Group for Data-Driven Innovation, Hamburg University of Technology, Hamburg, Germany.
Background: Health care innovation faces significant challenges, including system inertia and diverse stakeholders, making regulated market access pathways essential for facilitating the adoption of new technologies. The German Digital Healthcare Act, introduced in 2019, offers a model by enabling digital health applications (DiGAs) to be reimbursed by statutory health insurance, improving market access and patient empowerment. However, the factors influencing the success of these pathways in driving innovation remain unclear.
View Article and Find Full Text PDFPurpose: After recent policy and practice changes, health care schools are expected to involve patients as partners in the management, design, and delivery of professional curricula. However, what these partnerships mean for academic communities and the processes needed to support them are not yet understood. This study examines what involving patients as partners within an academic community means for key stakeholders.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
Thomas C. Tsai Harvard University and Brigham and Women's Hospital.
With the rapid expansion of veterans' access to community care under the Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks (VA MISSION) Act of 2018, ensuring that veterans receive high-quality community care has become a national priority. Using Veterans Health Administration (VHA) data and Medicare performance scores, we assessed how clinicians' performance on quality measures differed between those who treated veterans within the VHA Community Care Network and those who did not. We found that in 2022, 66.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
David J. Meyers, Brown University.
Under the current Medicare Advantage (MA) risk-adjustment system, plans are incentivized to report diagnosis codes on enrollees' medical claims reflecting additional and more severe health conditions to increase enrollees' risk scores and corresponding plan payments. To improve the integrity of risk adjustment, researchers have proposed four alternative methods to construct risk scores: calculate Hierarchical Condition Categories (HCC) scores excluding diagnosis codes from health risk assessments and chart reviews, calculate HCC scores excluding diagnosis codes most subject to score inflation, use pharmaceutical claims alone, and use self-reported survey responses alone or in combination with diagnosis codes. Using 2016-19 medical and pharmaceutical claims linked to Consumer Assessment of Healthcare Providers and Systems survey responses from 151,432 MA enrollees, we compared the predictive accuracy of each alternative strategy with the standard HCC approach.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!