Objective To summarize and analysis the working experience of healthcare performance evaluation and reporting experience in local health administration department of Australia, and provide decision support to China on such work as establishing objective, scientific, effective healthcare performance evaluation system, strengthening government’s supervision over health service and improving healthcare system management efficiency. Methods Searching official networks and databases of Australia, and finding out relevant policy, reports, and documents on healthcare performance evaluation. Results Typical healthcare performance evaluation systems in Australian are as follos: National Health Performance Framework (NHPF), the National Healthcare Agreement（NHA）and Review of Government Service Provision. Conclusions These programs in Australian is enlightening to these work in China that performance evaluation should be the prior tool in health system to management and reform, the performance measurement indicators systems should emphasize the quality safety and health fair.We should set up scientific and flexible index inclusion criteria and open report and compare performance information.
Medical institutions of China still face two challenges in hospital infections currently: one challenge is from infection, including infectious diseases, multidrug-resistant bacteria healthcare-associated infection (HAI), and classic HAI; the another challenge comes from the management of HAI in medical institutions, such as lack of full-time staff and insufficient capacity, inadequate infection control organizations, insufficient awareness of infection control among medical staff, and unbalanced development. To cope with these severe challenges, we must do the following three aspects: establishing the discipline of HAI, and improving people’s infection control ability through human-orienting; improving the management organization and system of HAI; improving the awareness of infection control among all medical staff, carrying out scientific and orderly infection prevention and control work in accordance with the law, and adhering to evidence-based infection control.
Integrating medical instruments with medical information systems becomes more and more important in healthcare industry. To make medical instruments without standard communication interface possess the capability of interoperating and sharing information with medical information systems, we developed a medical instrument integration gateway based on Integrating the Healthcare Enterprise Patient Care Device (IHE PCD) integration profiles in this research. The core component is an integration engine which is implemented according to integration profiles and Health Level Seven (HL7) messages defined in IHE PCD. Working with instrument specific Javascripts, the engine transforms medical instrument data into HL7 ORU message. This research enables medical instruments to interoperate and exchange medical data with information systems in a standardized way, and is valuable for medical instrument integration, especially for traditional instruments.
ObjectiveTo provide a scoping review of the healthcare provider patient-sharing network. MethodsPubMed, EMbase, Scopus, ProQuest, Web of Science Core Collection, ScienceDirect, SAGE, Wiley Online Library, Google Scholar, CNKI and WanFang Data databases were electronically searched to collect studies on patient-sharing network of healthcare providers from inception to July 31, 2021. Two reviewers independently screened literature, extracted data and then Arksey and O 'Malley's scoping review method was used to analyze the study. ResultsA total of 110 studies were included. In which, 70.0% were published in 2016 and later, 78.2% were carried out in the United States, 96.4% used secondary data, and 45.5% adopted social network analysis methods such as exponential random graph model. In terms of network characteristics, 43.6% of the studies adopted the theoretical framework of social network theory, and the network node type was mainly 1-mode, accounting for 87.3%. When constructing the physician patient-sharing networks, 64.5% of the studies had a threshold of 1 patient. We also synthesized existing studies on patient-sharing networks of healthcare providers in the light of factors of networks and related outcomes. ConclusionThe studies of healthcare provider patient-sharing network have potentials to improve clinical practice and health policies. Further studies should consider adopting longitudinal design to validate evidence of study, expanding the scope of study subjects except physicians and enriching the evidence of the relationship between network and health-related outcomes.
Healthcare-associated infection management has advanced rapidly in recent years. With the development of more standards and guidelines, infection control measures become more standardized and evidence-based. Evidence-based measures are increasingly applied in infection control, which promote more studies on the prevention and control of healthcare-associated infections. Furthermore, more new ideas of infection control have emerged, with old ones being challenged. The hand hygiene reform, multidrug-resistant organisms, and surgical site infections become the hot topics in recent years. In addition, whole-genome sequencing also provides more bases for understanding pathogen transmission in hospitals. Based on the high-quality studies published in recent years, this opinion review discusses these hot topics in the prevention and control of healthcare-associated infections.
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
ObjectiveTo introduce economic evaluation methods for anticancer-drugs with basket trial design, and to provide references for related research and decision-making. MethodsA case analysis was conducted on economic evaluation methods for anticancer-drugs with basket trial design, which was issued by Canadian Agency for Drugs and Technologies in Health (CADTH) in the Economic Guidance Report. Moreover, both the advantages and disadvantages of the methods were analyzed in accordance with the characteristics of basket trials. ResultsPooled analysis and tumor-specific analysis were two methods frequently employed in the case analysis. However, great uncertainties were available in both of them. The uncertainty of the former was mainly reflected in the heterogeneity of the targeted population, while the uncertainty of the latter was mainly shown in the insufficient sample size of the subgroup. ConclusionCurrently, economic evaluation methods for anticancer-drugs with basket trial design are immature. Thus, researchers are required to explore the methods of innovation evaluation with lower uncertainty; reimbursement decision-makers should fully consider the uncertainty of evaluation results and enterprises should collect the real-world data for the demands of evaluation to promote the reasonable allocation of healthcare resources in China.
This paper expounds the classification and characteristics of healthcare-associated infections (HAI) surveillance systems from the perspective of the informatization needs of HAI monitoring, explains the determination requirements of numerator and denominator in the surveillance statistical data, and introduces the regular verification for auditing the quality of HAI surveillance. The basic knowledge of machine learning and its achievements are introduced in processing surveillance data as well. Machine learning may become the mainstream algorithm of HAI automatic monitoring system in the future. Infection control professionals should learn relevant knowledge, cooperate with computer engineers and data analysts to establish more effective, reasonable and accurate monitoring systems, and improve the outcomes of HAI prevention and control in medical institutions.
ObjectiveTo explore the continuous changing trend of healthcare-associated infection prevalence rate in a children’s hospital.MethodsFrom July 2012 to November 2018, a cross-sectional survey was conducted to investigate the prevalence of healthcare-associated infections in hospitalized children for seven consecutive years by combining case-checking and bedside survey.ResultsA total of 10 310 hospitalized children were investigated in the past seven years. The incidence of healthcare-associated infections from 2012 to 2018 was 2.08%, 4.84%, 1.59%, 3.76%, 1.63%, 1.74%, and 2.08%, respectively, showing a statistically significant downward trend (LLA=7.631, P=0.006). The departments with higher proportion of healthcare-associated infections were pediatric surgery (50.0%), pediatric medicine (44.8%), neonatal medicine (2.8%), and intensive care units (2.4%) . Viruses (38.8%) were the most common pathogens of healthcare-associated infections, followed by Gram-negative bacteria (34.3%) .ConclusionsThe prevalence of healthcare-associated infections in the children’s hospital showed a downward trend year by year. Pediatric surgery is the most common occurrence department, and viruses are the most common pathogens. It can provide evidence for prevention and control of healthcare-associated infection in children’s hospitals.
Objective To construct a quality evaluation index system for healthcare-associated infection (HAI) management, and conduct an empirical evaluation on the quality of HAI management in clinical departments. Methods The literature research method and panel discussion method were adopted to initially form the framework of HAI management quality evaluation index system, and the Delphi method and the analytic hierarchy process were used to establish the index system and determine the weights from January to December 2018. Eight comprehensive evaluation methods, such as osculating value method and technique for order preference by similarity to an ideal solution method, were used to evaluate the quality of HAI management in clinical departments of West China Hospital, Sichuan University in 2018. Kendall’s coefficient of concordance (W) was used to assess the consistency of the results. The clinical departments were ranked by the standardized total scores, which were the means of the normalized scores of the eight methods. Results A quality evaluation index system for HAI management with 3 first-level indicators and 15 second-level indicators was established finally. The results of the eight comprehensive evaluation methods for the quality evaluation of HAI management in 39 clinical departments of West China Hospital, Sichuan University were consistent (W=0.952, χ2=259.800, P<0.001). The standardized total score of Department 18 was 100, which ranked the first place. Conclusion The HAI management quality evaluation index system constructed in this study could be used in clinical departments to evaluate the quality of HAI management in combination with comprehensive evaluation methods.