Effects of a 4-year intervention on hand hygiene compliance and incidence of healthcare associated infections: a longitudinal study.

PURPOSE: Studies have demonstrated improvements in hand hygiene (HH) compliance through interventions, noting the negative association of HH and healthcare associated infections (HAIs), but how to sustain long-term improvement is still unknown in the Chinese population. This study sought to determine the extent of change in HH compliance after multimodal HH interventions, and to evaluate the relationship between that change and HAI incidence.
METHODS: We conducted a longitudinal study in a general teaching hospital in China from 2017 to 2020. Trained investigators observed HH practices based on the World Health Organization's 5 moments for HH. We identified the incidence of HAIs using semi-automated constant surveillance software. We used the Cochran-Mantel-Haenszel test to assess the secular trend of HH compliance and HAIs. The Spearman correlation coefficient (rs) was used to evaluate the relationship between the incidence of HAIs and compliance with HH.
RESULTS: The study made 480,943 observations, where HH was occurring between 2017 and 2020. HH compliance increased from 68.90 to 91.76% during that period (Ptrend < 0.01), while the incidence of HAIs decreased from 1.10 to 0.91%. Compliance also increased for each moment type and for each healthcare worker (Ptrend < 0.01). Lower HH compliance was observed in before-patient contact and after contact with patient surroundings, and among interns and cleaners. We also observed a weak but statistically significant negative correlation between the monthly HH compliance and incidence of HAIs (rs =  - 0.27; P = 0.037).
CONCLUSIONS: The multimodal HH implementation delivered sustained improvement in HH compliance, and this change was associated with a decline in the incidence of HAIs.

Introduction

Healthcare associated infections (HAIs) are a serious public health problem experienced around the world, but often preventable, giving rise to extra treatment costs, complications, and mortality [1-3]. Improvement in hand hygiene (HH) compliance among healthcare workers is the simplest, most effective, and most cost-effective measure for reducing HAIs in hospitals [4, 5]. Several longitudinal studies found a negative association of HH and HAIs, but they were not based on the Chinese population [6-8]. Moreover, while studies have demonstrated increases in HH compliance through interventions, how to sustain long-term improvement is unknown [9-11]. Despite availability of promising new electronic methods for automatically monitoring HH activity, these technologies have their limitations in real-world settings [12]. Direct observation is still an important method of measuring HH performance, as outlined in the World Health Organization’s (WHO) guidelines [12, 13]. We, therefore, conducted a 4-year longitudinal study in the Chinese population to explore the effects of improvement in directly observed HH practices and the relationship between increased HH compliance and decreased HAI incidence.

Methods

Study design

The longitudinal study was conducted in the first affiliated hospital of Henan University of CM, a provincial general teaching hospital with about 2600 beds, 3100 healthcare workers, 55 inpatient wards, and 10 days per year of stay in China, between January 2017 and September 2020. The study population included all the healthcare workers tending to inpatients in the hospital. The infection control team implemented multimodal interventions to improve HH compliance among healthcare workers. We conducted regular training twice a year about the practice and importance of HH and meridian in the hands for all the healthcare workers (including new staff and students). We also offered irregular activities including general training, game shows, or electronic videos. Observers were required to give immediate feedback to the observed healthcare workers about their HH performance after the observation. Overall HH compliance was published monthly and quarterly in department meetings and on the infection control supervision platform, respectively. Over the years, the hospital has provided various reminders, products, and facilities for HH (in the supplement) to improve compliance in the hospital.

HH in the hospital

We recruited 78 HH observers from veteran nurses, doctors, and medical technicians for the study. Indispensable knowledge (such as how to perform HH, fill out the questionnaire, and submit data) was transmitted to them in the technical training to ensure satisfactory completion of the study. A paper questionnaire was used to collect data on HH practices by trained observers in accordance with the WHO’s 5 moments for HH (before touching a patient, before a clean/aseptic procedure, after body fluid exposure risk, after touching a patient, and after touching patient surroundings). Observers performed HH surveys irregularly, at least once each week. All interviews were performed and checked by dedicated study staff. Observers rechecked the HH information before submitting it to ensure good data quality. The data were submitted by each trained observer to the department of infection control once per month (before the 5th of the following month).

HAIs

HAI cases in the study were infected inpatients in hospital. We determined the incidence of HAIs among inpatients by analyzing the hospital’s records. The Xinglin Real Time Nosocomial Infection Surveillance Software of Hangzhou Xinglin Science Technology Limited Company was used to follow the incidence of HAIs among inpatients; the software is linked to all the electronic databases in the hospital. When a patient uses antibiotics for more than 3 days, or has fever, or abnormal results from biochemical, microbiological and imaging tests, the software automatically generates a window requiring doctors to provide information. Doctors are initially required to determine whether the patient represented a HAI case or not according to the pilot version of the diagnostic criteria for HAI proposed by the Health Ministry of China [14]. Two infection-control workers then recheck the patient’s medical records and ultimately confirm the diagnosis based on the aforementioned diagnostic criteria.

Statistical analyses

HH compliance was calculated as the number of observations, where the necessary HH was practiced divided by the total number of observations, where HH was needed. We also calculated the monthly and annual incidence of HAIs over the study period as the number of HAIs divided by the total number of inpatients. The Cochran–Mantel–Haenszel test was used to assess the secular trend of HH compliance and HAIs. We also assessed the correlation of the HH compliance and incidence of HAIs using the Spearman correlation coefficient (rs) to control for any possible time-related confounding. All analyses involved use of SAS 9.1 (SAS Inst., Cary, NC).

Results

Basic characteristics

The study made 480,943 observations, where HH was occurring between 2017 and 2020. The HH compliance increased from 68.90% in 2017 to 91.76% in 2020 and the incidence of HAIs decreased from 1.10 to 0.91% (Ptrend < 0.01; Table 1). Detailed data are in Table S1 in the supplement.

Table 1

Hand hygiene observations and compliance, and healthcare associated infection, China, 2017–2020

Year	No. of observations	No. of observations, where compliance with hand hygiene was recorded	Hand hygiene compliance, % (95% CI)	No. of inpatients	No. of healthcare associated infections	Incidence of healthcare associated infection, % (95% CI)
2017	138,729	95,586	68.90 (68.66–69.14)	91,261	1006	1.10 (1.10–1.17)
2018	119,967	97,735	81.7 (81.25–81.69)	113,144	1037	0.92 (0.81–0.97)
2019	123,335	106,652	86.47 (86.28–86.64)	127,907	1172	0.92 (0.86–0.97)
2020	98,912	90,764	91.76 (91.59–91.93	71,481	648	0.91 (0.84–0.98)
Total	480,943	390,737	81.24 (81.13–81.35)	403,793	3863	0.96 (0.93–0.99)

Changes in monthly HH compliance

The HH compliance increased from 64.78% in January of 2017 to 90.51% in September of 2020 (P < 0.01; Fig. 1). Between January 2017 and September 2020, the HH compliance of 5 moments demonstrated an upward trend, while HH compliance in after body fluid exposure risk and before a clean/aseptic procedure was higher than before patient contact and after contact with patient surroundings (Ptrend < 0.01; Fig. 2). The improvement in HH compliance was observed among all healthcare worker categories, with higher compliance among nurses and medical technicians than among interns and cleaners (Ptrend < 0.01; Fig. 3). We observed an upward trend in HH compliance among unit types (Ptrend < 0.01; Fig. 4). Detailed data are in Tables S1–S4 in the supplement.

Fig. 1

Changes in overall hand hygiene compliance by month

Fig. 2

Changes in hand hygiene compliance for each of the WHO’s 5 moments by month

Fig. 3

Changes in hand hygiene compliance for each of the six key healthcare worker groups by month

Fig. 4

Changes in hand hygiene compliance for each unit type by month

Correlation between monthly incidence of HH compliance and HAIs

Figure 5 shows a weak but statistically significant negative correlation between monthly HH compliance and incidence of HAIs (rs =  − 0.27; P = 0.037). Detailed data and HAI data by infection sites are in Tables S1 and S5 in the supplement.

Fig. 5

Correlation between monthly incidence of health care associated infections and hand hygiene compliance

Discussion

Our results show that the upward trend in HH compliance was sustained, and that this change was negatively associated with the incidence of HAIs after 4 years of multimodal HH intervention. Lower HH compliance was observed in before-patient contact and after contact with patient surroundings, and among interns and cleaners.

Australian national studies [15] that included public and private hospitals demonstrated that HH initiatives were associated with a significant increment in HH adherence and a decline in the incidence of healthcare-associated staphylococcus aureus bacteraemia after 8 years of infection control practices, consonant with our study. A prospective interventional study also demonstrated a similar improvement in HH compliance and a decrease in HAIs in ICU patients after implementation of an infection-control program, while a decline in overall incidence of HAIs was not observed [16]. Improvement in HH compliance among hospital healthcare workers may profit from comprehensive intervention and constant feedback [17].

We found an increase in HH compliance by 5 moments across all healthcare workers and unit types with implementation of multimodal HH interventions, similar to findings of previous reports [15, 18, 19]. Comparing other moments and healthcare workers, HH compliance was generally lower for before touching a patient and after contact with patient surroundings, while compliance was lower among interns and cleaners. Previous reports [15, 18, 20, 21] showed a decline of HAIs after improvement in HH compliance (from 66.2 to 95.9%) after long-term HH implementation. Unfortunately, HH adherence is generally suboptimal worldwide [22], including in China, as we have shown in this study. These findings indicate that the incidence of HAIs might further reduce if monthly HH compliance continues to trend upwards, supporting the WHO’s recommendations about improved HH practices [6].

Our study’s strength lies in the fact that direct observations of HH compliance and semi-automated HAI surveillance were recorded regularly (on a monthly basis) in a real-life setting. Compared with new electronic methods of tracking HH practice, direct observation is still considered gold standard [6]. The high HH compliance in 2020 might be associated with the outbreak of coronavirus disease 2019 (COVID-19) in December 2019. This study used direct observation to collect HH data, which also might imply observational bias. The combination of direct observation and electronic methods might prove valuable in collecting good HH data. The introduction of semi-automated electronic surveillance in this study made it easier to identify HAIs and reduced the time taken to link patients with infection-control workers [23]. We did not obtain information on possible changes in other factors associated with HH compliance and HAIs over time, however, which may have resulted in over- or underestimation of the effects of intervention. Although HH compliance and HAIs might be inconsistent between departments, we did not analyze them by departments because of limited data. We could not perform analysis by infection site for the same reason. This study used the number of HAIs per 100 patients measure of HAI incidence according to the norm of nosocomial infection surveillance proposed by the Health Ministry of China, because we did not collect patient day data, although most studies published in English use the number of HAIs per 1000 patient days to measure HAI incidence; thus, we could not compare our HAI incidence with studies that used the number of HAIs per 1000 patient days. In addition, the observation period may have been too short to evaluate the decreased incidence of HAIs following HH implementation. These issues highlight the necessity of further studies to clarify the relationship between HH compliance and HAIs and to evaluate the specific effect of HH interventions on the incidence of HAIs.

Conclusion

This study found that multimodal HH implementation measures delivered sustained improvement in HH compliance, and that this improvement was associated with a decline in the incidence of HAIs.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOC 3110 kb)