Adverse events (AEs) are a significant concern for healthcare systems. However, it is difficult to evaluate their influence because of the complexity of various medical services. This study aimed to assess the influence of AEs on the outcomes of hospitalized patients using a diagnosis-related group (DRG) database. We conducted a case-control study of hospitalized patients at a multi-district tertiary hospital with 2200 beds in China, using data from a DRG database. An AE refers to an unintended physical injury caused or contributed to by medical care that requires additional hospitalization, monitoring, treatment, or even death. Relative weight (RW), a specific indicator of DRG, was used to measure the difficulty of diagnosis and treatment, disease severity, and medical resources utilized. The primary outcomes were hospital length of stay (LOS) and hospitalization costs. The secondary outcome was discharge to home. This study applied DRG-based matching, Hodges-Lehmann estimate, regression analysis, and subgroup analysis to evaluate the influence of AEs on outcomes. Two sensitivity analyses by excluding short LOS and changing adjustment factors were performed to assess the robustness of the results. We identified 2690 hospitalized patients who had been divided into 329 DRGs, including 1345 patients who experienced AEs (case group) and 1345 DRG-matched normal controls. The Hodges-Lehmann estimate and generalized linear regression analysis showed AEs led to prolonged LOS (unadjusted difference, 7 days, 95% confidence interval [CI] 6-8 days; adjusted difference, 8.31 days, 95% CI 7.16-9.52 days) and excess hospitalization costs (unadjusted difference, $2186.40, 95% CI: $1836.87-$2559.16; adjusted difference, $2822.67, 95% CI: $2351.25-$3334.88). Logistic regression analysis showed AEs were associated with lower odds of discharge to home (unadjusted odds ratio [OR] 0.66, 95% CI 0.54-0.82; adjusted OR 0.75, 95% CI 0.61-0.93). The subgroup analyses showed that the results for each subgroup were largely consistent. LOS and hospitalization costs increased significantly after AEs in complex diseases (RW ≥ 2) and in relation to high degrees of harm subgroups (moderate harm and above groups). Similar results were obtained in sensitivity analyses. The burden of AEs, especially those related to complex diseases and severe harm, is significant in China. The DRG database serves as a valuable source of information that can be utilized for the evaluation and management of AEs.

BACKGROUND: This study reviews the research status of Diagnosis-related groups (DRGs) payment system in China and globally by analyzing topical issues in this field and exploring the evolutionary trends of DRGs in different developmental stages.
METHODS: Abstracts of relevant literature in the field of DRGs were extracted from the China National Knowledge Infrastructure (CNKI) database and the Web of Science (WoS) core database and used as text data. A probabilistic distribution-based Latent Dirichlet Allocation (LDA) topic model was applied to mine the text topics. Topical issues were determined by topic intensity, and the cosine similarity of the topics in adjacent stages was calculated to analyze the topic evolution trend.
RESULTS: A total of 6,758 English articles and 3,321 Chinese articles were included. Foreign research on DRGs focuses on grouping optimization, implementation effects, and influencing factors, whereas research topics in China focus on grouping and payment mechanism establishment, medical cost change evaluation, medical quality control, and performance management reform exploration.
CONCLUSIONS: Currently, the field of DRGs in China is developing rapidly and attracting deepening research. However, the implementation depth of research in China remains insufficient compared with the in-depth research conducted abroad.

This systematic review and meta-analysis aimed to evaluate the impact of prospective payment systems (PPSs) on cholecystectomy. A comprehensive literature review was conducted, examining studies published until December 2023. The review process focused on identifying research across major databases that reported critical outcomes such as length of stay (LOS), mortality, complications, admissions, readmissions, and costs following PPS for cholecystectomy. The studies were specifically selected for their relevance to the impact of PPS or the transition from fee-for-service (FFS) to PPS. The study analyzed six papers, with three eligible for meta-analysis, to assess the impact of the shift from FFS to PPS in laparoscopic and open cholecystectomy procedures. Our findings indicated no significant changes in LOS and mortality rates following the transition from FFS to PPS. Complication rates varied and were influenced by the diagnosis-related group categorization and surgeon cost profiles under episode-based payment. There was a slight increase in admissions and readmissions, and mixed effects on hospital costs and financial margins, suggesting varied responses to PPS for cholecystectomy procedures. The impact of PPS on cholecystectomy is nuanced and varies across different aspects of healthcare delivery. Our findings indicate a need for adaptable, patient-centered PPS models that balance economic efficiency with high-quality patient care. The study emphasizes the importance of considering specific surgical procedures and patient demographics in healthcare payment reforms.

OBJECTIVE: According to the diagnosis-related group (DRG) requirement, issues of diagnosis and procedure coding in the gastroenterology department of our hospital were analyzed and improvement plans were proposed to lay the foundation for effective implementation of DRGs.
METHODS: The title page of case-history of 1600 patients admitted to the Department of Gastroenterology of this hospital from January 1, 2021 to December 31, 2021 was sampled as a data source, and the primary and other diagnostic codes, operation or procedure codes involved in the title page of case-history were categorized and statistically analyzed.
RESULTS: Of the 531 cases treated with gastrointestinal endoscopy in our hospital in 2021, coding errors were identified in 66 cases and unsuccessful DRG enrollment in 35 cases, including 14 cases with incorrect coding of the primary diagnosis (8 cases with unsuccessful DRG enrollment), 37 cases with incorrect coding of the primary operation (23 cases with unsuccessful DRG enrollment), and 8 cases with incorrect coding of both the primary diagnosis and the primary operation (4 cases with unsuccessful DRG enrollment). Analysis of 66 inpatient cases with coding problems showed a total of 167 deficiencies, including 36 deficiencies in major diagnoses, 84 deficiencies in other diagnoses, and 47 deficiencies in surgery or operation coding.
CONCLUSIONS: The accuracy of coding of disease diagnosis and surgical operation is the basis for the smooth implementation of DRGs. The medical staff of this hospital has poor cognition of DRGs coding and fails to recognize the important role of the title page of case-history quality to DRGs system, and their attention to DRGs and knowledge base of disease classification coding should be improved. In addition, the high incidence of coding errors, especially the omission of disease diagnosis, requires increased training of physicians and nurses on clinical knowledge and requirements for DRGs medical records, thereby improving the quality of medical cases and ensuring the accuracy of DRGs information.

UNASSIGNED: American hospitals are required to provide price transparency data (known as a chargemaster) for medical services, which is intended to allow consumers to accurately estimate the cost of medical services. Our purpose was to identify hospital compliance in publishing chargemaster documents and to assess the price information published for common upper-extremity services and procedures.
UNASSIGNED: We performed a cross-sectional analysis of publicly available chargemaster data from 122 hospitals, which included the top-20-ranked Honor Roll hospitals from US News and World Report and 2 top-ranked hospitals from each state. Chargemaster files were accessed for each hospital, and price information was recorded for 10 common upper-extremity procedures including radiographs, injections, and surgeries. Mean procedural prices were compared between academic and nonacademic hospitals.
UNASSIGNED: Chargemaster files were able to be accessed for 107 (88%) of 122 institutions. Price estimates for imaging studies were more frequently reported (73%) than those of procedures (23%-41%). With 50 hospitals reporting a price estimate, carpal tunnel injection was the most frequently reported procedure, whereas trigger finger release was the least frequently reported (41% and 23%, respectively). Wide price ranges were noted, with mean charges for a total shoulder arthroplasty listed as US $51 723 (range, US $247-US $364 024). Mean prices between academic and nonacademic hospital systems were similar.
UNASSIGNED: While most (88%) of the included hospitals have been compliant with publishing their price transparency files, price estimates for common upper-extremity procedures and imaging studies are inconsistently reported and, when present, demonstrate high levels of price variability between and within hospital systems.

BACKGROUND: General medicine is an integral part of health services, yet there is little data highlighting their contribution to acute hospital care in Australia.
OBJECTIVE: To utilise the Victorian Department of Health\'s administrative dataset for hospital admissions to evaluate the relative contribution and trends over time of general medical services to acute multiday inpatient hospital separations in the Victorian public healthcare system.
METHODS: A retrospective time-series study of general medical activity compared to other major specialties using hospital-level data provided by the Department of Health: (i) extrapolation from diagnosis-related group (DRG) activity data (2011-2021) and, (ii) directly reported discharge unit-based activity (available from 2018). Acute multiday separations of all patients aged ≥18 years from all metropolitan and rural Victorian public hospitals were included.
RESULTS: Using the DRG-based data, general medicine ranked as the largest care provider of all specialties studied, accounting for 12.1% of separations. Despite the largest increase at a rate of 2831 separations/year (0.336%/year of total, P < 0.001) compared to others, mean length of stay declined by 0.08 days/year (P < 0.001). These findings were significant for metropolitan and rural hospitals. The use of directly reported discharge unit-based data also ranked general medicine as the largest care provider accounting for 32.9% of total separations, with rural hospital general medical services contributing nearly 50% of all multiday separations.
CONCLUSIONS: Both DRG-based data and discharge unit-based data indicate that general medicine is the largest provider of acute multiday inpatient care in Victorian hospitals. The estimate of contribution of general medicine differed between the two datasets as DRG data likely over-represents the role of other specialties possibly due to assumptions regarding specialty management of varying groups of diagnoses.

Conversion hip arthroplasty is defined as a patient who has had prior open or arthroscopic hip surgery with or without retained hardware that is removed and replaced with arthroplasty components. Currently, it is classified under the same diagnosis-related group as primary total hip arthroplasty (THA); however, it frequently requires a higher cost of care.
A retrospective study of 228 conversion THA procedures in an orthopaedic specialty hospital was performed. Propensity score matching was used to compare the study group to a cohort of 510 primary THA patients by age, body mass index, sex, and American Society of Anesthesiologists score. These matched groups were compared based on total costs, implants used, operative times, length of stay (LOS), readmissions, and complications.
Conversion THA incurred 25% more mean total costs compared to primary THA (P < .05), longer lengths of surgery (154 versus 122 minutes), and hospital LOS (2.1 versus 1.56 days). A subgroup analysis showed a 57% increased cost for cephalomedullary nail conversion, 34% increased cost for sliding hip screw, 33% for acetabular open reduction and internal fixation conversion, and 10% increased costs in closed reduction and percutaneous pinning conversions (all P < .05). There were 5 intraoperative complications in the conversion group versus none in the primary THA group (P < .01), with no statistically significant difference in readmissions.
Conversion THA is significantly more costly than primary THA and has longer surgical times and greater LOS. Specifically, conversion THA with retained implants had the greatest impact on cost.

The Inpatient Prospective Payment System, the framework for categorization of admissions, is based upon physician documentation leading to International Classification of Diseases, Tenth Revision code generation and Medical Severity Diagnosis-Related Group (MS-DRG) assignment. In this curriculum, we introduced internal medicine residents to this inpatient coding framework and its effects on hospital quality metrics and reimbursement. We focused on educating learners about the importance of physicians being proficient in providing thorough and specific clinical documentation to produce appropriate DRG assignment.
Internal medicine residents participated in a 90-minute session that introduced the basic framework of inpatient coding, discussed effects of physician documentation on hospital quality metrics and reimbursement, and provided tips on opportunities for documentation improvement. In an interactive learning activity, residents were presented with clinical vignettes and earned reimbursement based on their documentation of appropriate diagnoses. Each scenario was followed by clinical definitions and actionable documentation recommendations for common diagnoses. Materials included a PowerPoint presentation, clinical vignettes, sample teaching points, and a rubric to calculate estimated reimbursement.
Prior to the session, 38% of learners were confident in their understanding of how documentation affects hospital reimbursement, which improved to 90% postsession. Learners reported improvement in their knowledge of documentation requirements for all targeted diagnoses.
This interactive curriculum improved resident knowledge of the inpatient coding system and documentation requirements for common diagnoses and addressed a deficiency in residency education on a topic of significant importance for the success of hospital systems.

BACKGROUND: Complete and correct documentation of diagnosis and procedures is essential for adequate health provider reimbursement in diagnosis-related group (DRG) systems. The objective of this study was to investigate whether daily monitoring and semiautomated proposal optimization of DRG coding (precoding) is associated with higher reimbursement per hospitalization day.
METHODS: This parallel-group, unblinded, randomized clinical trial randomized patients 1:1 into intervention (precoding) and control groups. Between June 12 and December 6, 2019 all hospitalized patients (1566 cases) undergoing elective or emergency surgery at the department of surgery in a Swiss hospital were eligible for this study. By random sample selection, cases were assigned to the intervention (precoding) and control groups. The primary outcome was the total reimbursement, divided by the length of stay.
RESULTS: Of the 1205 randomized cases, 1200 (precoding group: 602) remained for intention-to-treat, and 1131 (precoding group: 564) for per-protocol analysis. Precoding increased reimbursement per hospitalization day by 6.5% (160 US dollars; 95% confidence interval 31 to 289; P = 0.015). In a regression analysis patients hospitalized 7 days or longer, precoding increased reimbursement per day by 10.0% (246 US dollars; 95% confidence interval -12 to 504; P = 0.021). More secondary diagnoses (mean [SD]: 5.16 [5.60] vs 4.39 [5.34]; 0.77; 95% confidence interval 0.15 to 1.39; P = 0.015) and nonsurgical postoperative complications (mean [SD]: 0.68 [1.45] vs 0.45 [1.12]; 0.23; 95% confidence interval 0.08 to 0.38; P = 0.002) were documented by precoding. No associated was observed regarding the length of stay, total reimbursement, or case mix index. The mean (SD) precoding time effort was 37 (27) minutes per case.
CONCLUSIONS: Physician-led precoding increases DRG-based reimbursement. Precoding is time consuming and should be focused on cases with a longer hospital stay to increase efficiency.

BACKGROUND: The federal health care price transparency regulation from 2019 is aimed at bending the health care cost curve by increasing the availability of hospital pricing information for the public.
OBJECTIVE: This study aims to examine the associations between publicly reported diagnosis-related group chargemaster prices on the internet and quality measures, process indicators, and patient-reported experience measures.
METHODS: In this cross-sectional study, we collected and analyzed a random 5.02% (212/4221) stratified sample of US hospital prices in 2019 using descriptive statistics and multivariate analysis.
RESULTS: We found extreme price variation in shoppable services and significantly greater price variation for medical versus surgical services (P=.006). In addition, we found that quality indicators were positively associated with standard charges, such as mortality (β=.929; P<.001) and readmissions (β=.514; P<.001). Other quality indicators, such as the effectiveness of care (β=-.919; P<.001), efficient use of medical imaging (β=-.458; P=.001), and patient recommendation scores (β=-.414; P<.001), were negatively associated with standard charges.
CONCLUSIONS: We found that hospital chargemasters display wide variations in prices for medical services and procedures and match variations in quality measures. Further work is required to investigate 100% of US hospital prices posted publicly on the internet and their relationship with quality measures.