ArticleHealth policy OPEN2022
Development of a novel hospital payment system - Big data diagnosis & intervention Packet.
Article in Health policy OPEN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of workload among medical records coders in China.BMC medical informatics and decision making · 2024Pooled it
- An adaptive and interpretable case grouping framework for healthcare payment systems.International journal for equity in health · 2026Article
- The compatibility of diagnosis-intervention packet with the individualized treatment paradigm of traditional Chinese medicine: an analytical study.Frontiers in public health · 2026Article
- Impact of Diagnosis-Intervention Packet Compliance Training on Inpatient Expenditures Under Case-Based Payment Reform: A Quasi-Experimental Study Based on Discharge Records.Journal of multidisciplinary healthcare · 2026Article
- High-magnification inpatient cases under DIP payment reform: prevalence, cost burden, and risk factors in an NHC-administered hospital in China.Frontiers in public health · 2026Observational
- The economic burden of Hospital-Acquired Infections on cancer patients under China's pioneering Diagnosis-Intervention Packet payment model: a retrospective study.Frontiers in public health · 2026Article
- A tree-structured multiobjective optimization framework for constructing diagnosis-related groups.NPJ digital medicine · 2025Article
- Development of data-driven clinical pathways: the big data clinical evidence-based pathways.BMJ health & care informatics · 2025Article
- Impact of China's diagnosis-intervention packet payment reform on pediatric pneumonia hospitalization costs: an interrupted time series analysis.Cost effectiveness and resource allocation : C/E · 2025Article
- Impact of an innovative case-based payment reform on hospital cost variation: insights from cerebral infarction inpatients in China.International journal for equity in health · 2025Article
- Article
- Facilitators and barriers to the implementation of DIP payment methodology reform in a public hospital in Guangzhou: a qualitative study based on the implementation of the meta-framework for research (CFIR) framework.Frontiers in public health · 2025Article
- The implementation effect of DIP payment method across different population in Southwest China based on multi-group interrupt time series.Frontiers in public health · 2025Article
- A study of the impact of DIP payment reform on coronary heart disease hospitalization costs and equity.Frontiers in public health · 2025Article
- Impact of diagnosis-intervention packet payment on the consistency of hospitalization expenses across different medical insurance schemes in China.Frontiers in public health · 2025Article
- Impact of China's Diagnosis-Intervention Packet Policy on Hospitalization Costs for Patients With Malignant Tumors: A 2019-2022 Interrupted Time Series Analysis.Risk management and healthcare policy · 2025Article
- Cost Shifting in Lung Cancer Inpatient Care Under Diagnosis-Intervention Packet Reform: A Pilot Study in China.Risk management and healthcare policy · 2025Article
- Article
- Impact of the Diagnosis-Intervention Packet Payment Reform on Provider Behavior in China: A Controlled Interrupted Time Series Study.International journal of health policy and management · 2024Article
- Comparison of Diagnosis-Related Group Rehabilitation Reimbursement Payments With Those of a Novel Patient Classification-Based Payment System.Archives of rehabilitation research and clinical translation · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis related group (DRG) was the most commonly used prospective hospital payment platform in developed countries. One of the major limitations of the DRG system is that the DRG grouping is not sufficiently homogeneous in benchmarking underlying resource needs. We developed a novel hospital payment and management system called Big Data Diagnosis & Intervention Packet (BD-DIP) by applying the similar case mix index (CMI) principles but the grouping is based on unique combination of ICD-10 and ICD-9 v3 codes. The initial prototype of BD-DIP was developed using hospital discharge records in Shanghai and then piloted in Guangzhou, China. The average coefficient of variation of the DB-DIP is about one-third smaller than the US DRG system. Results from the pilot evaluation showed that introduction of the BD-DIP lead to about 5% hospital budget savings and notable improvement in hospital care efficiency, including increased institutional CMI, lower admission rates, smaller variation in hospital charges, and lower patient cost-sharing burdens. The implementation of hospital monitoring tools resulted in identification of potential irregular practices to enable further auditing and investigation. The BD-DIP platform has a number of advantages over DRG-based payment models in terms of more homogeneous resource utilization within groups, design simplicity, dynamic in grouping, and reimbursement value in reflecting real-world treatment pathways and costs, and easy to implement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.