| Literature DB >> 30792854 |
Jiancong Wang1,2,3, Fangfei Liu4, Jamie Bee Xian Tan1,5, Stephan Harbarth1, Didier Pittet1, Walter Zingg1,6.
Abstract
Background: Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) affect patients in acute-care hospitals worldwide. No systematic review has been published on adoption and implementation of the infection prevention and control (IPC) key components. The objective of this systematic review was to assess adoption and implementation of the three areas issued by the "National Health Commission of the People's Republic of China" in acute-care hospitals in Mainland China, and to compare the findings with the key and core components on effective IPC, issued by the European Centre for Disease Prevention and Control (ECDC) and the World Health Organization (WHO).Entities:
Keywords: Adoption; China; Healthcare-associated infection; Hospital management; Implementation; Infection prevention and control; Systematic review
Mesh:
Year: 2019 PMID: 30792854 PMCID: PMC6371478 DOI: 10.1186/s13756-019-0481-y
Source DB: PubMed Journal: Antimicrob Resist Infect Control ISSN: 2047-2994 Impact factor: 4.887
Fig. 1Systematic review profile – Systematic review on infection prevention and control in Mainland China, 2012–2017
NHCPRC areas and elements of infection prevention and control identified by 27 survey reports – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| NHCPRC areas | Elements | Primary care hospitals | Secondary/tertiary care hospitals | |||||
|---|---|---|---|---|---|---|---|---|
| Reports (N) | Hospitals (N) | Yesa | Reports (N) | Hospitals (N) | Yesa | |||
| Structure & organisation | Guideline provision | 7 | 397 | 229; 57.7 (52.7–62.6) | 6 | 492 | 422; 85.8 (82.4–88.7) | < 0.001 |
| Interdisciplinary IPC committee | 6 | 360 | 256; 71.1 (66.1–75.7) | 10 | 882 | 865; 98.1 (96.9–98.9) | < 0.001 | |
| Formal IPC programme | 5 | 302 | 187; 61.9 (56.2–67.4) | 12 | 893 | 761; 85.2 (82.7–87.5) | < 0.001 | |
| Feedback of IPC indicators | – | – | – | 3 | 312 | 292; 93.6 (90.3–96.0) | – | |
| Allocated IPC funding/budget | – | – | – | 3 | 282 | 86; 30.5 (25.2–36.2) | – | |
| IPC research | – | – | – | 5 | 464 | 126; 27.2 (23.2–31.4) | – | |
| Education & training | Postgraduate IPC training | 8 | 379 | 203; 53.6 (48.4–58.7) | 8 | 374 | 283; 75.7 (71.0–79.9) | < 0.001 |
| Surveillance & Audit | Point prevalence survey of HAI | 3 | 233 | 92; 39.5 (33.2–46.1) | 3 | 201 | 135; 67.2 (60.2–73.6) | < 0.001 |
| Incidence surveillance of SSI | 2 | 188 | 73; 38.8 (31.8–46.2) | 5 | 406 | 292; 71.9 (67.3–76.2) | < 0.001 | |
| Incidence surveillance in ICU | 2 | 188 | 50; 26.6 (20.4–33.5) | 5 | 406 | 157; 38.7 (33.9–43.6) | 0.004 | |
| Incidence surveillance in NICU | – | – | – | 4 | 373 | 100; 26.8 (22.4–31.6) | – | |
| Surveillance of AMR | 4 | 277 | 83; 30.0 (24.6–35.7) | 7 | 459 | 295; 64.3 (59.7–68.7) | < 0.001 | |
| Surveillance of antimicrobial use | 4 | 231 | 129; 55.8 (49.2–62.4) | 3 | 182 | 114; 62.6 (55.2–69.7) | 0.164 | |
| Standard and isolation precaution measures | 5 | 201 | 81; 40.3 (33.5–47.4) | 2 | 39 | 12; 30.8 (17.0–47.6) | 0.264 | |
| Waste management | 9 | 423 | 266; 62.9 (58.1–67.5) | 3 | 59 | 34; 57.6 (44.1–70.4) | 0.435 | |
| Sterilization and decontamination | 7 | 372 | 217; 58.3 (53.1–63.4) | 2 | 38 | 21; 55.3 (38.3–71.4) | 0.715 | |
| Environmental culturing | 6 | 357 | 204; 57.1 (51.8–62.3) | 3 | 201 | 186; 92.5 (88.0–95.8) | < 0.001 | |
| Total | 10b | 466 | 19b | 1168 | ||||
aNumber of hospitals reporting on having established the element
bTwo studies reported on both primary- and secondary/tertiary care hospitals
95% CI: 95% confidence interval; AMR antimicrobial resistance, IPC infection prevention and control, ICU intensive care unit, NHCPRC National Health Commission of the People’s Republic of China, NICU neonatal intensive care unit, SSI surgical site infection
Observational studies in infection prevention and control – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| Author, year, province | Study aim | Setting | Surveillance protocol | Sample size and study duration | Methodology | Outcome | Quality |
|---|---|---|---|---|---|---|---|
| Liu S, 2017, Jiangsu [ | To investigate the association between ABHR use and HAI | Single centre | Research protocol | 78,344 patients (January to December 2015) | Association between ABHR utilization and HAI incidence analysed by regression models | ABHR use was found to be negatively correlated with SSI incidence (hand sanitizer, r = − 0.85; soap, r = − 0.88; paper towels, r = − 0.83). Significant negative correlation between ABHR use and HAI in non-ICU patients (r = − 0.52 to – 0.65, | Moderate |
| Kang J, 2017, Multi-Region [ | To determine the incidence of PICC-related complications in cancer patients | Multi-centre | Standard surveillance | 477 cancer patients with 50,841 catheter-days (February 2013 to April 2014) | Prospective incidence surveillance | The incidence of CLABSI was 0.12 per 1000 catheter days | Moderate |
| Zhou H, 2017, Jiangsu [ | To determine the HAI incidence in the ICUs of STCHs in one province | Multi-centre | Surveillance in a network | 396,283 patients (July 2010 to June 2015) | Prospective incidence surveillance | The overall HAI incidence was 7.23%; VAP ID: 13.77 per 1000 ventilator days, CLABSI ID: 1.74 per 1000 central catheter days; CAUTI ID: 2.08 per 1000 urinary catheter days | High |
| Chen W, 2016, Jiangsu [ | To determine (infection-associated) VAC incidence in adult ICU patients | Single centre | Standard surveillance | 1014 patients (January to March 2015) | Prospective incidence surveillance | Of 197 patients on mechanical ventilation for a total of 3152 ventilator-days, 46 VACs were identified including 22 classified as infection-related (iVAC; 14.59 and 6.98 per 1000 ventilation days, respectively) | High |
| Lv T, 2016, Shanghai [ | To determine the incidence of device-associated HAI in the NICU | Multi-centre | Standard surveillance | The number of patients was not reported (July to December 2014) | Prospective incidence surveillance | VAP ID was 3.78 cases per 1000 ventilator days, CLABSI ID was 1.63 cases per 1000 central catheter days | Moderate |
| Li C, 2015, Zhejiang [ | To investigate the impact of hour of surgery on SSI in patients undergoing colorectal cancer surgery | Single centre | Standard surveillance | 756 patients (January to December in 2014) | Surgery start time: T1: 07:00 to 12:00; T2: 12:01 to 18:00; T3: 18:01 to 24:00 | SSI incidence was 14.5, 15.3, and 17.5% in groups T1, T2, and T3. The surgery operation timing did not appear to have any effect on the occurrence of SSI | Moderate |
| Zhu S, 2015, Sichuan [ | To determine the incidence of VAEs | Multi-centre | Standard surveillance | 5256 patients (April to July 2013) | Prospective incidence surveillance | VAEs ID were 11.1 per 1000 ventilator days (94 cases); this included 31 patients with iVAC (3.7 per 1000 ventilator days) and 16 with possible VAP | High |
| Peng H, 2015, Anhui [ | To determine HAI incidence in the ICU | Single centre | Standard surveillance | 4013 patients (January 2010 to December 2014) | Prospective incidence surveillance | HAI incidence:10.64%; Device-associated HAI incidence: 9.567 per 1000 bed days; VAP ID: 19.561 per 1000 mechanical ventilator days; CLABSI ID: 2.716 per 1000 central line days; CAUTI ID: 1.508 per 1000 urinary-catheter days | High |
| Liu W, 2015, Inner Mongolia [ | To determine HAI incidence in the ICU | Multi-centre | Standard surveillance | 7255 patients (January to December 2013) | Prospective incidence surveillance | VAP ID: 10.02 per 1000 mechanical ventilator days; CLABSI ID: 1.56 per 1000 central catheter days; CAUTI ID: 2.26 per 1000 urinary catheter-days | Moderate |
| Huang H, 2014, Shanghai [ | To determine CDI incidence, and assess associated risk factors | Single centre | Standard surveillance | 240 patients with hospital-acquired diarrhoea (September 2008 to April 2009) | Prospective incidence surveillance | 90 patients (37.5%) (128.5 per 100,000 patient-days) with CDI (12 due to recurrent disease) | Moderate |
| Zhou F, 2014, Shanghai [ | To identify clinical characteristics of CDI in patients with antibiotic-associated diarrhoea | Single centre | Standard surveillance | 20,437 patients (August 2012 to July 2013) | Prospective incidence surveillance | Antibiotic-associated diarrhoea developed in 1.0% (206 patients) of patients receiving at least one dose of antibiotics; | Moderate |
| Wang X, 2014, Si Chuan [ | To investigate the incidence, clinical profiles and outcome of ICU-onset CDI | Single centre | Standard surveillance | 1277 patients (May 2012 to January 2013) | Prospective incidence surveillance | 124 patients with ICU-onset diarrhoea; 31 patients with CDI (252 cases per 100,000 ICU days) | High |
| Peng S, 2013, Liaoning [ | To determine the incidence, risk factors and outcomes of CRBSI in the ICU | Single centre | Standard surveillance | 174 patients (June 2007 to May 2008) | Prospective incidence surveillance | 21 patients developed CRBSI (11.0 per 1000 central catheter days with a catheter utilization rate of 72.8%) | High |
| Hu B, 2013, Multi-region [ | To determine device-associated HAIs, in ICUs | Multi-centre | Surveillance in a network | 2631 patients (August 2008 to July 2010) | Prospective incidence surveillance | VAP ID: 10.46 per 1000 ventilator-days; CLABSI ID: 7.66 per 1000 central line-days; CAUTI ID: 1.29 per 1000 urinary catheter-days | High |
| Xu C, 2013, Hubei [ | To determine the HAI incidence in the ICUs of Hubei Province | Multi-centre | Surveillance in a network | 20,641 patients (January to December 2010) | Prospective incidence surveillance | CLABSI ID: 1.40 per 1000 central catheter days; VAP ID: 30.82 per 1000 ventilator days; CAUTI ID: 1.50 per 1000 urinary catheter days | Moderate |
| Liu Y, 2012, Multi-region [ | To investigate aetiology and incidence of HAP | Multi-centre | Surveillance in a network | 42,877 patients (August 2008 to December 2010) | Prospective incidence surveillance | 610 HAP with an incidence of 1.4% (0.9% in the respiratory general ward, 15.3% in the respiratory ICU) | Moderate |
| Liu K, 2012, Beijing [ | To determine device-associated HAIs in the ICUs of tertiary-care hospitals | Multi-centre | Standard surveillance | ICUs of 38 tertiary care hospitals in Beijing (no study duration reported) | Prospective incidence surveillance | CRBSI ID: 2.5 per 1000 central catheter days; CAUTI ID: 2.1 per 1000 urinary catheter days; VAP ID: 7.6 per 1000 ventilator days | Moderate |
ABHR alcohol-based handrub, CAUTI catheter-associated urinary tract infection, CDI Clostridium difficile infection, CLABSI central line-associated bloodstream infection, CRBSI catheter-related bloodstream infection, HAI healthcare-associated infection, HAP hospital-acquired pneumonia, HH hand hygiene, ICU intensive care unit, ID incidence density, NICU neonatal intensive care unit, PICC Peripherally inserted central venous catheter, SSI surgical site infection, VAC ventilator-associated condition, VAE ventilator-associated event, VAP ventilator-associated pneumonia
Note: standard surveillance refers to the use of the standard Chinese surveillance protocol [62]
Interventional studies applying education and training in infection prevention and control – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| Author, year, province | Study aim | Population | Intervention | Comparison | Study design | Outcome | Quality |
|---|---|---|---|---|---|---|---|
| Chen S, 2017, Yunnan [ | To assess the effectiveness of IPC training delivered at morning shift meetings | Single centre; 239 healthcare workers (nurses and doctors) | IPC lectures delivered at morning shift meetings | Same group of HCWs | NCITS; knowledge tests before, immediately after, and 3 months after IPC training | Knowledge significantly improved from 45.1 to 96.7%, and 83.9% ( | High |
| He M, 2017, Fujian [ | To assess the effectiveness of IPC training delivered to new employees | Single centre; 343 new employees in pre-job training (nurses and doctors) | Lectures, problem-based learning, group discussions, demonstrations of various procedures | Same group of HCWs | NCBA; knowledge test before and after training | Knowledge on IPC significantly improved from 29.15–58.02% before training to 63.56–92.13% after training ( | High |
| Zhang Y, 2016, Guangdong [ | To assess the effectiveness of an enhanced IPC training programme on new employees | Single centre; 716 HCWs in intervention group; | Lectures, video scenarios, simulation training, and group discussion | 445 HCWs in control group | CBA; knowledge test and competency assessments before and after training using a structured questionnaire | Scores on both IPC knowledge and practice improved after training ( | High |
| Huang M, 2014, Hebei [ | To assess the effect of IPC training among nursing students on HH compliance | Single centre; 520 HH opportunities of 42 nursing students in the intervention group | 8 h IPC training (video scenarios, on-site training, knowledge test) | 518 HH opportunities of 38 nursing students in the control group | CBA; HH compliance of nursing students receiving and not receiving additional 8 h of IPC training one week after starting internship | HH compliance was significantly higher in the intervention group (74.2% vs. 46.7%; | High |
| Zhao L, 2014, Guizhou [ | To assess the effectiveness of IPC training in reducing HAI incidence | Single centre; 641 trained healthcare workers; 81 patients with HAI | Lectures, problem-based learning, on-site training, knowledge test | Same group of HCWs; 10,734 patients without HAI | NCBA; knowledge test and competency assessment before and after an IPC training programme; incidence of HAI before and during intervention | Higher knowledge and competency test scores after training. Significant reduction of HAI incidence from 1.26% in 2009 to 0.43% in 2012 ( | High |
CBA Controlled before-after study, HAI healthcare-associated infection, HH hand hygiene, IPC infection prevention and control, NCBA non-controlled before-after study, NCITS non-controlled interrupted time-series analysis
Interventional studies in infection prevention and control – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| Author, year, province | Study aim | Population | Intervention | Comparison | Study design | Outcome | Quality | |
|---|---|---|---|---|---|---|---|---|
| Multimodal strategies | Mu X, 2016, Guizhou [ | To assess the effectiveness of an intervention program on HH | Single centre; 26,586 HH opportunities in the intervention period | The intervention included improving HH facilities, education on HH, and quarterly reports on HH compliance and ABHR consumption | 1266 HH opportunities during baseline | NCBA; quasi-experimental. Surveillance of HH compliance, ABHR consumption, use of paper towels | HH compliance improved from 37.78% at baseline to 75.90% after intervention ( | High |
| Su D, 2015, Multi-region [ | To assess the impact of INICC HH intervention | Multi-centre (5 ICUs of 3 hospitals); 1368 HH observations in interventional period | Administrative support; availability of ABHR and soap at the point of care; education and training on HH indications, reminders at the workplace, and HH surveillance with performance feedback | 711 HH observations during baseline | NCBA. HH compliance during baseline and intervention | HH compliance increased from 51.5% during baseline to 80.1% during intervention ( | High | |
| Zhou Q, 2015, Shanghai [ | To assess the impact of a CLABSI prevention programme | Single centre; 51 newborns in intervention; 91 newborns in follow-up | HH training; dedicated PICC team, all-inclusive central line cart, pre-packaged kits; daily evaluation of central line necessity; simulation training | 29 newborns in pre-intervention | NCBA. CLABSI incidence density in baseline and intervention period | CLABSI ID decreased from 16.7 per 1000 central line-days at baseline to 7.6 in intervention ( | High | |
| Zhou Q, 2013, Shanghai [ | To assess the efficacy of a VAP prevention programme in a NICU | Single centre; 169 neonates in partial intervention; 216 neonates in full intervention | HH training; waste disposal; isolation precaution measures; laminar airflow; use of ventilators (disinfection); reduction of ventilator- and antimicrobial days | 106 neonates in pre-intervention | NCBA. VAP-incidence density surveillance | VAP ID decreased from 48.8 per 1000 ventilator-days in baseline to 25.7 in partial intervention, and to 18.5 in full intervention ( | High | |
| Tao L, 2012, Shanghai [ | To assess the impact of a VAP prevention programme | Single centre; 3 ICUs (surgical, cardiothoracic, medical); 4112 patients in 2006; 4405 in 2007; 3992 in 2008; 3330 in 2009 | Oral care with chlorhexidine twice daily, HH promotion, and semi-recumbent position | 3250 patients during baseline (2005) | NCBA. Process and outcome surveillance (VAP incidence density) with feedback | VAP ID decreased from 24.1 per 1000 ventilator-days in 2005 to 16.6 in 2006, 9.5 in 2007, 7.5 in 2008, and 5.7 in 2009 ( | High | |
| Other IPC intervention | Li Q, 2017, Zhejiang [ | To assess the impact of relocating a NICU and improving environmental cleaning on MRSA | Single centre; 800 environmental surface samples during intervention | Reprocessing microfiber cloths; disinfection of cots, incubators, screens, syringe pumps, carts, and isolation rooms | 100 environmental surface samples during baseline | NCBA. MRSA in environmental surface samples | Significant decrease of MRSA-positive surfaces from 44.0% at baseline to 2.5% at intervention ( | High |
| Lin Y, 2015, Fujian [ | To evaluate the effect of chlorhexidine mouthwash before major heart surgery on VAP | Single centre; 47 patients | Gargling 3 × 30 s 30 min after each meal and 5 min after tooth brushing either with 0.2% chlorhexidine or normal saline on the day before major heart surgery | 47 patients | RCT. Blind and random assignment of cardiac surgery patients to the 0.2% chlorhexidine or normal saline group | Significantly less VAP in the intervention group (8.5% vs. 23.4%; | High |
ABHR Alcohol-based handrub, CLABSI Central line-associated bloodstream infection, HH Hand hygiene, ICU Intensive care unit, ID incidence density, INICC International Nosocomial Infection Control Consortium, IPC Infection prevention and control, MRSA Methicillin-resistant Staphylococcus aureus, NCBA Non-controlled before-after study, NICU neonatal intensive care unit, PICC Peripherally inserted central venous catheter, RCT Randomised controlled trial, VAP Ventilator associated pneumonia
Comparison with ECDC key components and WHO core components – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| NHCPRC areas [ | Current systematic review | Core components (WHO) [ | Key components (ECDC) [ | |
|---|---|---|---|---|
| Structure, organisation and management of IPC programmes | √ | √ | √ | √ |
| Provision and promotion of IPC guidelines | √ | √ | √ | √ |
| IPC education and training | √ | √ | √ | √ |
| Outcome and process indicator surveillance | √ | √ | √ | √ |
| Monitoring/auditing of IPC practices with individual feedback | √ | √ | √ | √ |
| Application of multimodal intervention strategies | N/A | √ | √ | √ |
| Built environment, materials and equipment for IPC | N/A | √ | √ | √ |
| Workload, staffing and bed occupancy | N/A | N/A | √ | √ |
| Engagement of champions | N/A | N/A | N/A | √ |
| Positive organizational culture | N/A | N/A | N/A | √ |
Note: N/A: Not available information after data searching; NHCPRC National Health Commission of the People’s Republic of China
Gaps of the three NHCPRC focus areas – Systematic review on implementation of infection prevention and control in acute care hospitals in Mainland China, 2012–2017
| 1. Structure, organisation and management of infection prevention and control | |
| 2. Education and training in infection prevention and control | |
| 3. Surveillance of outcome and process indicators |
IPC infection prevention and control, NHCPRC National Health Commission of the People’s Republic, MDRO multidrug-resistant microorganism