Skip to main content

The status of infection prevention and control structures in Eastern China based on the IPCAF tool of the World Health Organization

Abstract

Background

The burden of healthcare-associated infections (HAIs) and the spread of antimicrobial resistance can be potentially preventable through comprehensive infection prevention and control (IPC) programs. However, information on the current state of IPC implementation is rare in China.

Methods

A cross-sectional study was conducted in Zhejiang province, China, from April to June 2021. The Zhejiang nosocomial infection control and quality improvement center (NICQI) cooperated with 11 municipal NICQI centers to introduce the purpose of this study and invite all licensed secondary and tertiary hospitals in Zhejiang province through WeChat group. The questionnaire had three sections, including information about participating hospitals, demographic information about IPs, and the Chinese version of the Infection Prevention and Control Assessment Framework that covered eight core components (CC).

Results

Of the 382 hospitals invited, 222 (58.1% response rate) accepted and completed the online questionnaire. The overall median score of the participating hospitals was 682 (630ā€“723), which corresponded to an advanced level of IPC. There was a significant difference in scores between hospitals types (Pā€‰<ā€‰0.001). Profound differences were revealed regarding the scores of the individual components, with CC2 (IPC guidelines) and CC6 (Monitoring/audit of IPC practices and feedback) having the highest (100) and lowest (65) median scores, respectively. Only 23 (10.4%) hospitals reported assessing facility safety culture.

Conclusions

IPC structures are at a relatively high level in acute care hospitals in Eastern China. The identified potential areas for improvement were similar to those identified in developed countries, particularly regarding multimodal strategies for implementation and safety culture construction. Meanwhile, the Chinese government should pay more attention to IPC resources and practices among secondary care hospitals.

Background

Healthcare-associated infections (HAIs) are considered a global public health problem that can result in prolonged hospital stays, increased antimicrobial resistance, and reduced quality of life of patients [1, 2]. According to a World Health Organization (WHO) report, the prevalence of HAIs was 3.5%-12% in developed countries and 5.7%-19.1% in low- and middle-income countries [3]. A recent meta-analysis study reported that the prevalence of HAIs in China was 3.12% [4]. Infection prevention and control (IPC) reduces the burden of HAIs and the spread of antimicrobial resistance in acute care hospitals [5,6,7]. The importance of IPC has been amplified by the coronavirus disease 2019 (COVID-19) pandemic. However, determining ways to assess IPC resources and practices at the national or facility level remains a challenge.

In 2018, the National Health Commission of the Peopleā€™s Republic of China published the ā€œAccreditation regulation of control and prevention of healthcare associated infection in hospitalā€, which specifies basic principles, evaluation content and IPC requirements [8]. To support countries in their efforts to improve IPC practices, WHO released the IPC Assessment Framework (IPCAF), which is a structured questionnaire with an associated scoring system [9, 10]. The IPCAF contains eight core components (CC), which include IPC programme (CC1), IPC guidelines (CC2), IPC education and training (CC3), HAI surveillance (CC4), multimodal strategies for implementation of IPC interventions (CC5), monitoring/audit of IPC practices and feedback (CC6), workload, staffing and bed occupancy (CC7), built environment, materials and equipment for IPC at the facility level (CC8). Measurement is critical in the process of improving healthcare quality. IPCAF was developed to support the ā€œbaseline assessmentā€ and ā€œassessing impactā€ steps of WHO proposed IPC facility programmes. The baseline assessment is concerned with understanding the current IPC situation to guide action planning for improvement. The assessment impact is concerned with evaluating the effectiveness of activities undertaken in the context of the action plan. In recent years, IPCAF has been used to identify the strengths and weaknesses of IPC resources and practices in developed countries, demonstrating potentials for improvement, particularly in the implementation of multimodal strategies, IPC education and staffing [11, 12].

Infection preventionists (IPs) are responsible for education, surveillance, outbreak investigation, and implementation of IPC. IPs with diverse professional backgrounds have a positive impact on infection control departments, facilitating the implementation of innovative practices and therefore improving patient outcomes [13, 14]. However, information on the current state of IPC implementation is rare, especially during the COVID-19 pandemic in China. Thus, the purpose of this study was to evaluate staffing level, IPC resources, and practices in secondary and tertiary care hospitals.

Methods

Study design

This cross-sectional study was conducted in Zhejiang province, China, from April to June 2021. There are 11 cities and 382 secondary and tertiary care hospitals licensed by Health Commission of Zhejiang province. In 1994, a provincial-level center for nosocomial infection control and quality improvement (NICQI) was established in Zhejiang province, and then each city established its own NICQI center in the subsequent 20Ā years to address topics of annual interest regarding IPC programmes and continuing education. This survey was conducted by the provincial NICQI center in collaboration with 11 municipal NICQI centers, who introduced the purpose of this study and invited all licensed secondary and tertiary hospitals through WeChat groups. The study protocol was approved by the Ethic Committee of the Second Affiliated Hospital of Zhejiang University School of Medicine (No. 2021ā€“0693).

Measurement

The questionnaire had three sections. The first section handled hospital information, such as hospital type (secondary or tertiary care), hospital size (number of hospital beds), region (where the hospital is located), independent infection control department (yes or not), and establishment date of department. The second section was used to collect demographic information about IPs in the infection control department, including age, gender, background, education level, and years of service in the infection control department. The third section involved the Chinese version of the IPCAF that covered the eight CCs. A score was assigned to each answer to a question. The maximum score per CC was 100 and the highest possible overall score was 800. An IPC level was allocated to the hospitals based on the final score. A score of 0 to 200 was considered inadequate, 201ā€“400 basic, 401ā€“600 intermediate, and 601ā€“800 advanced.

The provincial NICQI center translated the IPCAF into Chinese. A pilot survey was conducted in five potential participating hospitals in order to qualitatively identify question ambiguities and misunderstandings caused by translation. Along with the questionnaire, a guidance document, including study objectives, notes for filling out and terminology explanation, was also sent to all participants through WeChat groups in this study. Participants were informed that the survey was entirely voluntary and that the results were not associated with HAIs surveillance or hospital accreditation. The online questionnaire was completed by a full-time IP from the infection control department or in the absence of a full-time staff, by the relevant professional in charge of IPC activities. This online questionnaire was designed as all mandatory questions and must be completed before submission. Any queries were addressed via telephone or in the WeChat groups.

Statistical analysis

All the data were analyzed using SPSS version 26 and STATA version 15. All results of the quantitative variables were presented as meanā€‰Ā±ā€‰standard deviation or median (25th and 75th), whereas those of the qualitative variables were presented as percentages. Chi-square test, t test, and Wilcoxon test were used as appropriate. All statistical tests were two-sided, and a P valueā€‰<ā€‰0.05 was considered statistically significant.

Results

Characteristics of participating hospitals

Of the 382 hospitals invited, 222 (58.1% response rate) accepted and completed the online questionnaire. No incomplete datasets were received. There were 125 (56.3%) secondary care hospitals and 97 (43.7%) tertiary care hospitals. Participants were classified into four categories based on the number of hospital beds: 100ā€“350 beds (85), 351ā€“700 beds (65), 701ā€“1200 (45), and more than 1200 beds (27). The majority of hospitals (nā€‰=ā€‰211) had an independent IPC department, whereas 11 hospitals had IPC department structured within the nursing department or hospital administration departments. For more than 15Ā years, 133 (63.0%) of the 211 hospitals have an established IPC department (Table 1). In this study, the majority of IPs were women (90.1%), with an average age of 43.4ā€‰Ā±ā€‰8.9Ā years old. The average number of IPs per 100 beds was 0.5. There was no significant difference in the number of IPs per 100 beds between tertiary and secondary care hospitals (Pā€‰=ā€‰0.464). The detailed results of the survey are given in Table 2.

Table 1 General characteristics of 222 participating hospitals in the study
Table 2 Characteristics of infection preventionists in the study

The distribution of IPCAF scores

The overall median score of the participating hospitals who were participated was 682 (630ā€“723), with tertiary care hospitals and secondary care hospitals scoring 720 (682ā€“740) and 655 (600ā€“692.5), respectively. There was a significant difference in scores between hospital types (Pā€‰<ā€‰0.001). The IPCAF scores were positively correlated with the number of beds and the number of IPs in this study. FigureĀ 1 illustrates the distribution of IPCAF scores among participating hospitals. According to the IPC level assigned by WHO, 184 (82.9%) hospitals achieved an ā€œadvancedā€ IPC level, 36 (16.2%) hospitals reached an ā€œintermediateā€ level, and 2 (0.9%) hospitals achieved a ā€œbasicā€ level. None of the participating hospitals qualified as ā€œinadequateā€. FigureĀ 2 depicts the distribution of scores of individual components, with CC2 (IPC guidelines) and CC6 (Monitoring/audit of IPC practices and feedback) having the highest (100) and lowest (65) median scores, respectively.

Fig. 1
figure 1

The distribution of IPCAF scores among participating hospitals

Fig. 2
figure 2

The distribution of scores of the eight core components. The maximum score for each CC was 100. Box plot showing the median, inter-quartile range and outliers of CC

IPC programme

Nearly all hospitals had an IPC committee (96.8%) and IPC objectives (98.2%). A more detailed question about the IPC objectives revealed that approximately half of the hospitals (nā€‰=ā€‰113) had measurable outcome indicators and set future targets, whereas 35 hospitals (15.8%) had measurable outcome indicators without set future targets. According to the survey, 79.7% of the hospitals (nā€‰=ā€‰177) had an IPC budget.

IPC education and training

155 (69.8%) hospitals had additional non-IPC personnel with adequate skills to serve as trainers and mentors. About half (nā€‰=ā€‰114) of the hospitals stated that they use interactive training sessions, in addition to traditional methods, to train health care workers. To minimize the risk of HAIs, 73.4% of hospitals reported conducting specific IPC training for patients or family members.

HAI surveillance

Nearly all hospitals (97.3%) reported having personnel responsible for surveillance activities. Only 46 (20.7%) hospitals reported lack of IT support to conduct HAI surveillance. Surveillance of multidrug-resistant (MDR) pathogens according to the local epidemiology situation was reportedly conducted in 212 (95.5%) participating hospitals. 87.8% of hospitals (nā€‰=ā€‰195) had microbiological laboratory capacity to support MDR surveillance. More than 85% of hospitals had personnel responsible for analyzing and reporting MDR patterns on a regular basis.

Multimodal strategies for implementation of IPC interventions

The survey indicated that 85.6% of participating hospitals (nā€‰=ā€‰190) used multimodal strategies to implement IPC interventions, with multidisciplinary teams involved in 164 (73.9%) hospitals. However, 67 (30.2%) hospitals reported not including cultural change in multimodal strategies.

IPC monitoring and audit

According to the survey, nearly all hospitals (99.1%) had trained personnel responsible for monitoring/audit of IPC practices. However, different hospitals covered different monitoring processes. The survey indicated that 118 (53.2%) hospitals monitored wound dressing change, while 163 (73.4%) hospitals reported antimicrobial agent consumption. 213 (95.9%) participating hospitals reported conducting hand hygiene compliance monitoring, while only 47.7% of hospitals used the WHO hand hygiene survey on a regular basis. Almost all hospitals (nā€‰=ā€‰219) indicated that they reported monitoring data at least annually. The majority of hospitals (78.8%) performed in a ā€œblame-freeā€ institutional culture for improving IPC practices, whereas only 23 (10.4%) hospitals reported assessing safety culture.

Workload, staffing and bed occupancy

Most participating hospitals (nā€‰=ā€‰190) reported having an assessment of staffing needs using national or international standards. 77% of hospitals reported that no extra beds were placed in the corridor. Nevertheless, less than half of the hospitals had adequate spacing ofā€‰>ā€‰1Ā m between patient beds in all departments. Detailed survey results are presented in the online supplement of this article (Additional file 1).

Discussion

This survey provided a comprehensive analysis of IPC implementation in Eastern China. Overall, the participating hospitals had a median score of 682, which corresponded to an ā€œadvancedā€ IPC level. These results are similar to those reported in developed countries, such as Germany and Austria. Noticeably, 25.6% (32/125) of the secondary care hospitals that participated were classified as ā€œintermediateā€ or ā€œbasicā€. Secondary care hospitals in IPC have limited human and material resources, making some core components difficult to implement. Our results are consistent with the aforementioned phenomenon. Therefore, we should pay more attention to IPC practices in secondary care hospitals, especially IPC programme and multimodal strategies for implementation of IPC interventions.

Nosocomial infection management has been practiced in China since 1896. Over the last 30Ā years, IPC has made remarkable achievements in regulations and policies, particularly in the aftermath of SARS and COVID-19 pandemics [15, 16]. A median score of 85 to 100 indicated that IPC programs and guidelines are widely established in China. In this study, 96.8% of hospitals reported having an IPC committee, and three-quarters had an allocated budget, both of which were slightly higher than previously reported levels in a systematic review [17]. This is partially explained by the widespread use of electronic HAI surveillance and IPC activities in the participating hospitals. However, further research is required to evaluate the impact of the allocated budget on IPC implementation. There are many national IPC documents, most of which are mandatory in China. Thus, it is not surprising that participating hospitals had such high scores on CC2 (IPC guidelines).

The authors of a 2017 systematic review and expert consensus recommended a ratio of one full-time or equivalent IP per 250 beds [5]. During the COVID-19 pandemic, the National Health Commission of China recommended a ratio of one full-time IP for every 150ā€“200 beds, two IPs for less than 100 beds, and four IPs for 100ā€“500 beds [18]. In our study, the average number of IPs per 100 beds was 0.5, which is lower than 1.2 in American hospitals and 0.8 in Canadian hospitals [19, 20]. There is still a significant disparity between the current staffing levels and national standards, which may be attributed to a lack of commitment by hospital leaders to infection control. Moreover, health care workers may be reluctant to work full-time on IPC due to limited career tracks and low salaries.

Infection control is a dynamic and evolving discipline. Orientation of new employees and continuous IPC education and training for healthcare workers (HCWs) are vital in hospitals. Although HCWs are aware of the risk of the transmission of infection, compliance with standard precautions was unsatisfactory [21]. Therefore, a multifaceted approach to educate HCWs regarding compliance with standard precautions is recommended. Only about half of the participating hospitals reported using simulation-based training, an evidence-based approach that has been shown to improve hand hygiene compliance and lower HAIs, to educate their HCWs and other personnel. Additionally, our results indicated that patients and family members received less IPC training than HCWs. To prevent the transmission of HAIs and improve care quality, recommendations such as hand hygiene, couth etiquette and other IPC that can be shared with the patients to minimize the risk of HAIs were made to empower patients and family members in infection control aspects [22, 23]. Additional studies are needed to assess patient education on infection control measures to develop a validated intervention program.

Surveillance and feedback of surveillance data to frontline HCWs and other stakeholders have been a cornerstone in IPC program improvement. Almost all hospitals reported conducting HAI surveillance, because annual prevalence investigations on HAIs are mandatory in Mainland China. In 2017, the CHINET surveillance reported that the prevalence of methicillin-resistant S. aureus was 37.3%, and the prevalence of vancomycin-resistant enterococci was 2.0% [24]. These numbers are alarming, and IPC should be empowered to prevent cross-transmission of multidrug-resistant microorganisms in hospitals.

Assessment of safety culture is still in its infancy among acute care hospitals in China. In our study, only 10.4% of the participating hospitals assessed safety cultural factors. Although the importance of adhering to IPC recommendations has been highlighted, adoption remains suboptimal in hospitals [25]. Safety culture is recognized as a critical factor in improving IPC performance and reducing HAIs [26, 27]. It is recommended that hospitals and care units should regularly assess safety culture using the validated tools and identify areas for improvement.

Our study had certain limitations. The hospitals participated in this study were secondary and tertiary care hospitals, which have more resources for IPC implementation than primary care hospitals. Thus, the IPCAF results can only be extrapolated cautiously to secondary or above care hospitals, but cannot represent the situation of Chinese acute care facilities as a whole. Although there are many Chinese footnotes and explanations provided, some terminology of IPCAF may difficult to understand. The respondents have different educational level, background and work experience, which may lead to false reporting. Furthermore, with a response rate of 58.1%, reporting bias may be present because the results were dependent on hospitals that were interested in participating in this survey. Since this study was conducted during the COVID-19 pandemic, the relatively low response rate may be due to the busy work of IPs and unwillingness to share deficiencies. Notwithstanding these limitations, this study had numerous strengths. This is the first study to use IPCAF to evaluate the current situation of IPC resources and practices in China, which contributes to understand the gap between domestic and international IPC standards. The results highlighted that the IPCAF scores were positively correlated with hospital levels, the number of hospital beds and the number of IPs.

Conclusion

Overall, IPC structures are at a relatively high level in acute care hospitals in China. The identified potential areas for improvement were similar to those identified in developed countries, particularly regarding multimodal strategies for implementation and safety culture construction. Meanwhile, the Chinese government should pay more attention to IPC resources and practices among secondary care hospitals.

Availability of data and materials

The datasets in the study are available from the corresponding author on reasonable request.

Abbreviations

HAIs:

Healthcare-associated infections

WHO:

World health organization

IPC:

Infection prevention and control

COVID-19:

Coronavirus disease 2019

IPCAF:

Infection prevention and control assessment framework

CC:

Core component

NICQI:

Nosocomial infection control and quality improvement

HCW:

Healthcare worker

References

  1. Ling ML, Apisarnthanarak A, Madriaga G. The Burden of healthcare-associated infections in southeast asia: a systematic literature review and meta-analysis. Clin Infect Dis. 2015;60(11):1690ā€“9.

    ArticleĀ  Google ScholarĀ 

  2. Magill SS, Edwards JR, Bamberg W, et al. Multistate point-prevalence survey of health care-associated infections. N Engl J Med. 2014;370(13):1198ā€“208.

    ArticleĀ  CASĀ  Google ScholarĀ 

  3. Allegranzi B, Bagheri Nejad S, Combescure C, et al. Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet. 2011;377(9761):228ā€“41.

    ArticleĀ  Google ScholarĀ 

  4. Wang J, Liu F, Tartari E, et al. The prevalence of healthcare-associated infections in Mainland China: a systematic review and meta-analysis. Infect Control Hosp Epidemiol. 2018;39(6):701ā€“9.

    ArticleĀ  Google ScholarĀ 

  5. Storr J, Twyman A, Zingg W, et al. Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations. Antimicrob Resist Infect Control. 2017;6:6.

    ArticleĀ  Google ScholarĀ 

  6. Zingg W, Holmes A, Dettenkofer M, et al. Hospital organisation, management, and structure for prevention of health-care-associated infection: a systematic review and expert consensus. Lancet Infect Dis. 2015;15(2):212ā€“24.

    ArticleĀ  Google ScholarĀ 

  7. Price L, MacDonald J, Melone L, et al. Effectiveness of national and subnational infection prevention and control interventions in high-income and upper-middle-income countries: a systematic review. Lancet Infect Dis. 2018;18(5):e159ā€“71.

    ArticleĀ  Google ScholarĀ 

  8. National Health Commission of the Peopleā€™s Republic of China. Accreditation regulation of control and prevention of healthcare-associated infection in hospital (WS/T 592ā€“2018) (in Chinese). 2018. Available at: http://www.nhc.gov.cn/ewebeditor/uploadfile/2018/07/20180704110058122.pdf. Accessed 10 April 2021.

  9. WHO. Infection prevention and control assessment framework: World Health Organization. 2018. Available at: https://www.who.int/publications/i/item/WHO-HIS-SDS-2018.9. Accessed 10 April 2021.

  10. Tomczyk S, Aghdassi S, Storr J, et al. Testing of the WHO Infection Prevention and Control Assessment Framework at acute healthcare facility level. J Hosp Infect. 2020;105(1):83ā€“90.

    ArticleĀ  CASĀ  Google ScholarĀ 

  11. Aghdassi SJS, Hansen S, Bischoff P, Behnke M, Gastmeier P. A national survey on the implementation of key infection prevention and control structures in German hospitals: results from 736 hospitals conducting the WHO Infection Prevention and Control Assessment Framework (IPCAF). Antimicrob Resist Infect Control. 2019;8:73.

    ArticleĀ  Google ScholarĀ 

  12. Aghdassi SJS, Grisold A, Wechsler-Fordos A, et al. Evaluating infection prevention and control programs in Austrian acute care hospitals using the WHO Infection Prevention and Control Assessment Framework. Antimicrob Resist Infect Control. 2020;9(1):92.

    ArticleĀ  Google ScholarĀ 

  13. Smathers SA, Sammons JS. A strategy for expanding infection prevention resources to support organizational growth. Am J Infect Control. 2020;48(9):975ā€“81.

    ArticleĀ  Google ScholarĀ 

  14. Reese SM, Gilmartin H, Smathers S. Challenges and opportunities in recruiting, hiring and training infection preventionists across facility settings. Am J Infect Control. 2021;49(8):973ā€“7.

    ArticleĀ  Google ScholarĀ 

  15. Liu SD, Li CH, Li LY, Hou TY, et al. Development of healthcareassociated infection management organizations in China in the past 30 years (in Chinese). Chin J Infect Control. 2016;15:648ā€“53.

    Google ScholarĀ 

  16. Cheng ZJ, Zhan Z, Xue M, et al. Public Health Measures and the Control of COVID-19 in China. Clin Rev Allergy Immunol. 2021;1ā€“16.

  17. Wang J, Liu F, Tan JBX, Harbarth S, et al. Implementation of infection prevention and control in acute care hospitals in Mainland Chinaā€”a systematic review. Antimicrob Resist Infect Control. 2019;8:32.

    ArticleĀ  Google ScholarĀ 

  18. National Health Commission of the Peopleā€™s Republic of China. Notice on further strengthening the related work of the management of infection control personnel in medical institutions (in Chinese). 2021. Available at: http://www.gov.cn/xinwen/2021-08/10/content_5630496.htm. Accessed 15 October 2021.

  19. Stone PW, Pogorzelska-Maziarz M, Herzig CT, et al. State of infection prevention in US hospitals enrolled in the National Health and Safety Network. Am J Infect Control. 2014;42(2):94ā€“9.

    ArticleĀ  Google ScholarĀ 

  20. Zoutman DE, Ford BD. A comparison of infection control program resources, activities, and antibiotic resistant organism rates in Canadian acute care hospitals in 1999 and 2005: pre- and post-severe acute respiratory syndrome. Am J Infect Control. 2008;36(10):711ā€“7.

    ArticleĀ  Google ScholarĀ 

  21. Hessels AJ, Genovese-Schek V, Agarwal M, Wurmser T, Larson EL. Relationship between patient safety climate and adherence to standard precautions. Am J Infect Control. 2016;44(10):1128ā€“32.

    ArticleĀ  Google ScholarĀ 

  22. Hammoud S, Amer F, Lohner S, Kocsis B. Patient education on infection control: a systematic review. Am J Infect Control. 2020;48(12):1506ā€“15.

    ArticleĀ  Google ScholarĀ 

  23. Seale H, Chughtai AA, Kaur R, et al. Ask, speak up, and be proactive: empowering patient infection control to prevent health care-acquired infections. Am J Infect Control. 2015;43(5):447ā€“53.

    ArticleĀ  Google ScholarĀ 

  24. Hu F, Zhu D, Wang F, Wang M. Current Status and Trends of Antibacterial Resistance in China. Clin Infect Dis. 2018;67(suppl_2): S128-S34.

  25. Dube E, Lorcy A, Audy N, et al. Adoption of infection prevention and control practices by healthcare workers in Quebec: A qualitative study. Infect Control Hosp Epidemiol. 2019;40(12):1361ā€“6.

    ArticleĀ  Google ScholarĀ 

  26. van Buijtene A, Foster D. Does a hospital culture influence adherence to infection prevention and control and rates of healthcare associated infection? A literature review. J Infect Prev. 2019;20(1):5ā€“17.

    ArticleĀ  Google ScholarĀ 

  27. Bernard L, Biron A, Lavigne G, et al. An exploratory study of safety culture, biological risk management and hand hygiene of healthcare professionals. J Adv Nurs. 2018;74(4):827ā€“37.

    ArticleĀ  Google ScholarĀ 

Download references

Acknowledgements

We would like to thank all participating hospitals in the study.

Funding

This study was not funded.

Author information

Authors and Affiliations

Authors

Contributions

NK and LQ contributed to design, data collection and drafted the manuscript. NK, JD, WZ and SL contributed to data collection and analysis. JD and LQ critically revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Qun Lu.

Ethics declarations

Ethics approval and consent to participate

The study was received human research ethics approval from the Ethic Committee of the Second Affiliated Hospital of Zhejiang University School of Medicine (No. 2021-0693).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Results of the Infection Prevention and Control Assessment Framework in 222 participating hospitals.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ni, K., Jin, D., Wu, Z. et al. The status of infection prevention and control structures in Eastern China based on the IPCAF tool of the World Health Organization. Antimicrob Resist Infect Control 11, 46 (2022). https://doi.org/10.1186/s13756-022-01087-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13756-022-01087-x

Keywords