Providers have intended and unintended responses to payment reforms, such as China’s new case-based payment system, i.e., Diagnosis-Intervention Packet (DIP) under global budget, that classified patients based on the combination of principal diagnosis and procedures. Our study explores the impact of DIP payment reform on hospital selection of patients undergoing total hip/knee arthroplasty (THA/TKA) or with arteriosclerotic heart disease (AHD) from July 2017 to June 2021 in a large city. We used a difference-in-differences approach to compare the changes of patient age, severity reflected by Charlson Comorbidity Index (CCI), and a measure of treatment intensity (relative weight (RW)) in hospitals that were and were not subject to DIP incentives before and after the DIP payment reform in July 2019. Compared with non-DIP pilot hospitals, trends in patient age after the DIP reform were similar for DIP and non-DIP hospitals for both conditions, while differences in patient severity grew because severity in DIP hospitals increased more for THA/TKA (P=0.036) or dropped in non-DIP hospitals for AHD (P=0.011) following DIP reform. Treatment intensity (measured via RWs) for AHD patients in DIP hospitals increased 5.5% (P=0.015) more than in non-DIP hospitals after payment reform, but treatment intensity trends were similar for THA/TKA patients in DIP and non-DIP hospitals. When the DIP payment reform in China was introduced just prior to the pandemic, hospitals subject to this reform responded by admitting sicker patients and providing more treatment intensity to their AHD patients. Policy makers need to balance between cost containment and unintended consequences of prospective payment system, and DIP payment could also be a new alternative payment system for other countries.

Background: China has developed a novel case-based payment method called the DiagnosisIntervention Packet (DIP) to regulate healthcare providers' behavior. G city, a metropolis in southeast China, has shifted its payment policy from fixed rate per admission to DIP under regional global budget since 2018. This study examined the immediate and trend changes in provider behavior after this payment reform. Methods: Discharge data in G city between 2016 and 2019 was used, covering more than 10 million inpatient cases in 320 hospitals. A counterfactual scenario was developed to assign insured and uninsured inpatients across the study period to specific DIP groups under consistent rules. Controlled interrupted time-series (ITS) analyses were performed, with uninsured inpatients as control. Outcomes included inpatient volume, average DIP weight (similar to case-mix index in Diagnosis-Related Groups), and two innovative indicators (average diagnostic weight and average treatment weight) to decompose the changes in DIP weight. Subgroup analyses were conducted for different hospital levels and 21 major disease categories. Results: After the DIP reform, monthly trend of inpatient volume decreased (-1085.34, P=0.052), while monthly growth of average DIP weight increased (2.17, P=0.02). No significant changes in average diagnostic weight were observed. Monthly trend of average treatment weight increased (2.38, P=0.001) after the reform. Secondary and tertiary hospitals experienced insignificantly decreased inpatient volume and elevated average DIP weight, accompanied by negligible change in average diagnostic weight and significant increase in average treatment weight. Primary hospitals experienced reduced inpatient volume and stable average DIP weight, along with increase in average diagnostic weight and decrease in average treatment weight. Conclusion: By differentiated payments for severity, DIP induced hospitals to shift their focus from volume to weight of inpatients. Instead of diagnostic upcoding, hospitals responded to the DIP reform primarily by increasing treatment intensity. Primary hospitals may face financial risks under regional competition.

Background: The Sustainable Development Goals (SDGs) articulate an ambitious global agenda and set of targets to achieve by 2030. Among the health-related SDGs, many formidable challenges remain in settings like the Association of Southeast Asian Nations (ASEAN) which face wide-ranging social, economic and health inequalities. In advance of the 2030 horizon, charting the trajectory of the health SDGs is critical for informing policy and programmatic course corrections to advance health and well-being among ASEAN’s 10 member countries with its 667 million people. Methods and findings: We used estimates from the Global Burden of Disease (GBD) Study 2021 and surveillance data to identify 27 health-related SDG indicators. The indicators were classified into 7 thematic areas: (i) nutrition, (ii) maternal, child and reproductive health (MCH), (iii) infectious diseases, (iv) non-communicable diseases (NCDs), (v) environmental health, (vi) universal health coverage (UHC), and (vii) road injuries. We developed an attainment index ranging from 0 to 100 for each SDG indicator by referencing the SDG targets and projected their progress to 2030. We find an overall positive progress towards the health-related SDG targets in ASEAN from 1990 to 2030. At the aggregate level by 2030, 2 member countries, Singapore and Brunei, are projected to achieve their targets (attainment score ≥ 90). At a wider regional level, ASEAN is projected to make substantial progress in nutrition, MCH, and UHC, with a majority of countries projected to come close to or achieve their targets. However, progress is projected to be slower in the areas of reducing the incidence of infectious disease (i.e., HIV and AIDs, hepatitis B, TB, and neglected tropical diseases), NCD-related mortality and its risk factors (i.e., harmful alcohol use and smoking), environment-related mortality and its risk factors (i.e., unsafe water and poor hygiene, and air pollution), and road injuries. Substantial disparities are identified in the region, with Singapore, Brunei, Malaysia and Thailand generally performing better than elsewhere. A limitation of our study was its reliance on historical trends which may not fully capture future political, social, or technological changes. Conclusions: As a regional bloc, ASEAN faces persistent challenges in achieving health-related SDG targets by 2030, with unequal progress between countries. Moreover, epidemiological transitions and worsening environmental threats further compound potential gains. At the country level, efforts to enhance health system financing, quality and equity will need to be coupled with wider approaches that address structural drivers of disease. Furthermore, coordinated regional efforts will be essential to effectively respond to emerging threats posed by pollution and environmental risks.

Purpose: China has developed and widely piloted a new case-based payment, ie, the "Diagnosis-Intervention Packet" (DIP) payment, which has a granular classification system. We evaluated the impact of DIP payment on the quality of care in a large pilot city in China and explored potential mechanisms of quality change. Methods: The city started to implement DIP payment with a hospital-level cap on July 1, 2019. Using a 5% random sample of discharge records from July 2017 to June 2021, we employed a difference-in-differences approach to compare two mortality measures (in-hospital mortality, mortality of surgical patients), two readmission measures (all-cause readmission within 30 days, readmission with the same principal diagnosis within 30 days) and a patient safety measure (operation associated complications or adverse event) in 13 pilot hospitals and 27 non-pilot hospitals before and after DIP payment reform. Results: Of 122,637 discharge records included, 43,023 (35.1%) were from pilot hospitals. After DIP payment, the readmission rate within 30 days and readmission rate with the same principal diagnosis in pilot hospitals decreased significantly by 3.2 percentage points (P <0.001) and 1.8 percentage points (P <0.001), respectively. The in-hospital mortality rate, the mortality rate of surgical patients, and the rate of operation-associated complications or adverse events did not have significant changes. The decrease in quality measures was primarily driven by tertiary hospitals, was more obvious over time after the policy adoption, and was more pronounced in groups with higher intensity of care. Conclusion: This study indicated that DIP payment with a cap in the study city was associated with improved quality of care among patients in pilot hospitals. The provider's behavior of increasing the intensity of care, especially for more severe patients, may partially contribute to the results.

Ensuring adequate and sustainable financing of national immunisation programmes (NIPs) is one of the important elements to achieve the Immunisation Agenda 2030. Many middle-income countries ineligible for support from the Global Alliance for Vaccines and Immunisation have relatively slow progress in introducing new critical vaccines, due largely to financial constraints. China has not introduced any vaccines into the NIP since 2008. Its funding for the NIP, relying solely on the government budget, has been decreasing as the number of targeted children has declined. This paper presents the current situation of NIP and identifies main challenges in vaccine introduction in China: fluctuating and insufficient financing, restrictions on using health insurance funds for immunisation, high prices for non-NIP vaccines and the complicated and non-transparent decision-making mechanism to adjust NIP. There are also opportunities for introducing vaccines, such as local pilots to provide free or subsidised new vaccines and reducing domestic vaccine prices. Feasible options to optimise NIP financing in China include increasing government funding, diversifying financing channels such as using health insurance funds, improving the vaccine procurement mechanism and optimising the new vaccine introduction decision-making process.