World Health Organization. WHO launches first ever global report on infection prevention and control 2022 [cited 2024 April 1]. Available from: https://www.who.int/news/item/06-05-2022-who-launches-first-ever-global-report-on-infection-prevention-and-control.

Weiner-Lastinger LM, Abner S, Edwards JR, Kallen AJ, Karlsson M, Magill SS, et al. Antimicrobial-resistant pathogens associated with adult healthcare-associated infections: Summary of data reported to the National Healthcare Safety Network, 2015–2017. Infect Control Hosp Epidemiol. 2020;41(1):1–18.

Article  PubMed  Google Scholar 

World Health Organization. Seventy-sixth World Health Assembly – Daily update: 27 May 2023 2023 [cited 2024 March 29]. Available from: https://www.who.int/news/item/27-05-2023-seventy-sixth-world-health-assembly---daily-update--27-may-2023.

Liu X, Cui D, Li H, Wang Q, Mao Z, Fang L, et al. Direct medical burden of antimicrobial-resistant healthcare-associated infections: empirical evidence from China. J Hosp Infect. 2020;105(2):295–305.

Article  PubMed  CAS  Google Scholar 

Liu XL, Shrestha R, Koju P, Maharjan B, Shah P, Thapa P, Li H. The direct medical economic burden of healthcare-associated infections and antimicrobial resistance: a preliminary study in a teaching hospital of Nepal. J Glob Antimicrob Resistance. 2022;29:299–303.

Article  Google Scholar 

Li H, Liu XL, Cui D, Wang Q, Mao ZF, Fang L, et al. Estimating the direct medical economic burden of health care-associated infections in public tertiary hospitals in Hubei Province, China. Asia-Pacific J Public Health. 2017;29(5):440–50.

Article  Google Scholar 

World Health Organization. Global Tuberculosis Report 2023 2023 [cited 2024 March 26]. Available from: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2023/tb-disease-burden/1-1-tb-incidence.

Wang X, Wei YX, Yan LJ, Qie DL, Shao LJ, Li N, Chen G. Risk factors for mortality in patients with tuberculosis admitted to intensive care units. Eur Rev Med Pharmacol Sci. 2024;28(2):822–8.

PubMed  CAS  Google Scholar 

Larkins-Ford J, Aldridge B. Advances in the design of combination therapies for the treatment of tuberculosis. Expert Opin Drug Discov. 2023;18(1):83–97.

Article  PubMed  CAS  Google Scholar 

Kardani S, Hadia R, Baile S, Trivedi R, Maheshwari RA, Parmar G. Current surgical interventions for treating tuberculosis: exploring the benefits and risks. Asian J Pharm. 2023;17(3):329–33.

Google Scholar 

Ministry of Health. Diagnostic criteria of nosocomial infection (in Chinese) 2001 [cited 2024 March 29]. Available from: http://www.nhfpc.gov.cn/yzygj/s3593/200804/e19e4448378643a09913ccf2a055c79d.shtml.

Liu XL, Ren NL, Ma ZF, Zhong ML, Li H. Risk factors on healthcare-associated infections among tuberculosis hospitalized patients in China from 2001 to 2020: a systematic review and meta-analysis. Bmc Infect Dis. 2022;22(1):392.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Westreich D, Greenland S. The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. Am J Epidemiol. 2013;177(4):292–8.

Article  PubMed  PubMed Central  Google Scholar 

Akinkugbe AA, Simon AM, Brody ER. A scoping review of Table 2 fallacy in the oral health literature. Commun Dent Oral Epidemiol. 2021;49(2):103–9.

Article  Google Scholar 

National Bureau of Statistics. China Statistical Yearbook 2020 2020 [cited 2024 March 30]. Available from: https://www.stats.gov.cn/sj/ndsj/.

Austin PC. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Stat Med. 2008;27(12):2037–49.

Article  PubMed  Google Scholar 

Langworthy B, Wu YJ, Wang ML. An overview of propensity score matching methods for clustered data. Stat Methods Med Res. 2023;32(4):641–55.

Article  PubMed  Google Scholar 

Abadie A, Imbens GW. Matching on the estimated propensity score. Econometrica. 2016;84(2):781–807.

Article  Google Scholar 

Rosenbaum PR, Rubin DB. Propensity scores in the design of observational studies for causal effects. Biometrika. 2023;110(1):1–13.

Article  Google Scholar 

Hu LY, Gu CY, Lopez M, Ji JY, Wisnivesky J. Estimation of causal effects of multiple treatments in observational studies with a binary outcome. Stat Methods Med Res. 2020;29(11):3218–34.

Article  PubMed  PubMed Central  Google Scholar 

DiPrete TA, Gangl M. Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments. Sociol Methodol. 2004;34(1):271–310.

Article  Google Scholar 

Verberk JDM, Aghdassi SJS, Abbas M, Nauclér P, Gubbels S, Maldonado N, et al. Automated surveillance systems for healthcare-associated infections: results from a European survey and experiences from real-life utilization. J Hosp Infect. 2022;122:35–43.

Article  PubMed  CAS  Google Scholar 

Takaya S, Hayakawa K, Matsunaga N, Moriyama Y, Katanami Y, Tajima T, et al. Surveillance systems for healthcare-associated infection in high and upper-middle income countries: a scoping review. J Infect Chemother. 2020;26(5):429–37.

Article  PubMed  Google Scholar 

Li YK, Cao LY, Han YL, Wei JJ. Development of a conceptual benchmarking framework for healthcare facilities management: case study of shanghai municipal hospitals. J Constr Eng Manag. 2020;146(1):05019016.

Article  Google Scholar 

Amarsy R, Granger B, Fournierc S, Monteil C, Trystram D, Siorat V, et al. Novel scores relevant to antimicrobial resistance and hospital-acquired infections developed with data from a multi-hospital consortium in the Parisian region of France. J Hosp Infect. 2024;143:97–104.

Article  PubMed  CAS  Google Scholar 

Dzhengiz T. A literature review of inter-organizational sustainability learning. Sustainability. 2020;12(12):4876.

Article  Google Scholar 

Jiang WB, Wang XJ, Du L. Environmental Health Check: How third-party environmental evaluation project affects corporate environmental responsibility. Sustainable Development. 2023.

Behnke M, Valik JK, Gubbels S, Teixeira D, Kristensen B, Abbas M, et al. Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections. Clin Microbiol Infect. 2021;27:S29–39.

Article  PubMed  Google Scholar 

van Rooden SM, Aspevall O, Carrara E, Gubbels S, Johansson A, Lucet JC, et al. Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections. Clin Microbiol Infect. 2021;27:S20–8.

Article  PubMed  Google Scholar