Effect and Process Evaluation of an Intervention to Improve Hand Hygiene Compliance in Long-Term Care Facilities

OBJECTIVES

This study evaluated the effect of a tailored, multifaceted improvement strategy on hand hygiene compliance in long-term care facilities (LTCFs). We also performed a process evaluation to explore the mechanisms through which our strategy brought about change.

DESIGN

We conducted a stepped-wedge cluster-randomized controlled trial with a sequential rollout of the improvement strategy to all participating LTCFs. The strategy consisted of education, training, reminders, observation sessions (including feedback), and team meetings (including feedback).

SETTING AND PARTICIPANTS

The study included nursing professionals from 14 LTCFs (23 wards) in the Netherlands.

METHODS

Hand hygiene compliance was observed during 5 measurement periods using WHO's "Five Moments for Hand Hygiene." Multilevel analyses and corresponding tests were completed on an intention-to-treat basis.

RESULTS

The absolute intervention effect of overall hand hygiene compliance (primary outcome measure) was 13% (95% CI 9.3-16.7, P < .001), adjusted for time and clustering. The adjusted absolute effect was 23% (95% CI 7-39, P < .002) before a clean and aseptic procedure, 18% (95% CI 10-26, P < .001) after touching a resident, 14% (95% CI 7-22, P < .003) before touching a resident, 10% (95% CI 5-15, P < .001) after contact with body fluid, and 1% (95% CI -11 to 13, P = .8) after touching a resident's surroundings. With the exception of leadership, participants at LTCFs with more exposure to the intervention components showed statistically significantly more improvement than those at facilities with lower exposure scores.

CONCLUSIONS AND IMPLICATIONS

Our strategy was successful in improving hand hygiene compliance. LTCFs with more team members exposed to the different intervention components, demonstrated a greater effect from the intervention. To strengthen the impact of our intervention, we recommend that future improvement strategies provide more support to managers to ensure they are better equipped to take on their leadership roles and enable their teams to improve and maintain hand hygiene compliance.

Hand hygiene compliance and its drivers in long-term care facilities; observations and a survey

Background

Hand hygiene is an important measure to prevent healthcare-associated infections in long-term care facilities.

Objectives

To evaluate compliance with hand hygiene recommendations by different nursing professionals in long-term care facilities and to investigate determinants potentially influencing hand hygiene and whether these differed between the different cadres of staff.

Methods

We conducted two sub-studies: we measured hand hygiene compliance of 496 professionals in 14 long-term care facilities (23 wards) through direct observation using World Health Organisation’s ‘five moments of hand hygiene’ observation tool. In addition, we performed a survey to examine determinants that may influence hand hygiene and to determine differences between different cadres of staff. We used a principal component analysis approach with varimax rotation to explore the underlying factor structure of the determinants.

Results

We found an overall mean hand hygiene compliance of 17%. There was considerable variation between wards (5–38%) and between specific World Health Organization hand hygiene moments. In addition, hand hygiene compliance varied widely within and between different cadres of staff. The determinant analysis was conducted on 177 questionnaires. For all nursing professionals, we found multiple determinants in four domains: ‘social context and leadership’, ‘resources’, ‘individual healthcare professional factors’ and ‘risk perception’. In two domains, several barriers were perceived differently by nursing assistants and nurses. In the domain ‘social context and leadership’, this included (1) how the manager addresses barriers to enable hand hygiene as recommended and (2) how the manager pays attention to correct adherence to the hand hygiene guidelines. In the ‘risk perception’ domain, this included a resident's risk of acquiring an infection as a result of the nursing professional’s failure to comply with the hand hygiene guidelines.

Conclusion

Hand hygiene compliance was low and influenced by multiple factors, several of which varied among different cadres of staff. When designing interventions to improve hand hygiene performance in long-term care facilities, strategies should take into account these determinants and how they vary between different cadres of staff. We recommend exploring hand hygiene determinants at ward level and among different cadres of staff, for example by using our exploratory questionnaire.

Trial registration

Registration number 50-53000-98-113, ‘Compliance with hand hygiene in nursing homes: go for a sustainable effect’ on ClinicalTrials.gov. Date of registration 28-6-2016.

Hand hygiene improvement of individual healthcare workers: results of the multicentre PROHIBIT study

BACKGROUND

Traditionally, hand hygiene (HH) interventions do not identify the observed healthcare workers (HWCs) and therefore, reflect HH compliance only at population level. Intensive care units (ICUs) in seven European hospitals participating in the "Prevention of Hospital Infections by Intervention and Training" (PROHIBIT) study provided individual HH compliance levels. We analysed these to understand the determinants and dynamics of individual change in relation to the overall intervention effect.

METHODS

We included HCWs who contributed at least two observation sessions before and after intervention. Improving, non-changing, and worsening HCWs were defined with a threshold of 20% compliance change. We used multivariable linear regression and spearman's rank correlation to estimate determinants for the individual response to the intervention and correlation to overall change. Swarm graphs visualized ICU-specific patterns.

RESULTS

In total 280 HCWs contributed 17,748 HH opportunities during 2677 observation sessions. Overall, pooled HH compliance increased from 43.1 to 58.7%. The proportion of improving HCWs ranged from 33 to 95% among ICUs. The median HH increase per improving HCW ranged from 16 to 34 percentage points. ICU wide improvement correlated significantly with both the proportion of improving HCWs (ρ = 0.82 [95% CI 0.18-0.97], and their median HH increase (ρ = 0.79 [0.08-0.97]). Multilevel regression demonstrated that individual improvement was significantly associated with nurse profession, lower activity index, higher nurse-to-patient ratio, and lower baseline compliance.

CONCLUSIONS

Both the proportion of improving HCWs and their median individual improvement differed substantially among ICUs but correlated with the ICUs' overall HH improvement. With comparable overall means the range in individual HH varied considerably between some hospitals, implying different transmission risks. Greater insight into improvement dynamics might help to design more effective HH interventions in the future.

Mortality review as a tool to assess the contribution of healthcare-associated infections to death: results of a multicentre validity and reproducibility study, 11 European Union countries, 2017 to 2018

IntroductionThe contribution of healthcare-associated infections (HAI) to mortality can be estimated using statistical methods, but mortality review (MR) is better suited for routine use in clinical settings. The European Centre for Disease Prevention and Control recently introduced MR into its HAI surveillance.AimWe evaluate validity and reproducibility of three MR measures.MethodsThe on-site investigator, usually an infection prevention and control doctor, and the clinician in charge of the patient independently reviewed records of deceased patients with bloodstream infection (BSI), pneumonia, Clostridioides difficile infection (CDI) or surgical site infection (SSI), and assessed the contribution to death using 3CAT: definitely/possibly/no contribution to death; WHOCAT: sole cause/part of causal sequence but not sufficient on its own/contributory cause but unrelated to condition causing death/no contribution, based on the World Health Organization's death certificate; QUANT: Likert scale: 0 (no contribution) to 10 (definitely cause of death). Inter-rater reliability was assessed with weighted kappa (wk) and intra-cluster correlation coefficient (ICC). Reviewers rated the fit of the measures.ResultsFrom 2017 to 2018, 24 hospitals (11 countries) recorded 291 cases: 87 BSI, 113 pneumonia , 71 CDI and 20 SSI. The inter-rater reliability was: 3CAT wk 0.68 (95% confidence interval (CI): 0.61-0.75); WHOCAT wk 0.65 (95% CI: 0.58-0.73); QUANT ICC 0.76 (95% CI: 0.71-0.81). Inter-rater reliability ranged from 0.72 for pneumonia to 0.52 for CDI. All three measures fitted 'reasonably' or 'well' in > 88%.ConclusionFeasibility, validity and reproducibility of these MR measures was acceptable for use in HAI surveillance.

Exploring determinants of hand hygiene compliance in LTCFs: a qualitative study using Flottorps' integrated checklist of determinants of practice

BACKGROUND

Elderly residents in long-term care facilities (LTCFs) are vulnerable to healthcare-associated infections. Although hand hygiene is a leading measure for preventing infection, the compliance of healthcare workers is low. The aim of this study is to identify determinants that influence hand hygiene compliance of nursing staff in LTCFs. This information on determinants can eventually be used to develop a tailored implementation strategy for LTCFs.

METHODS

This is an explorative, descriptive study using qualitative methods. We performed semi-structured focus group discussions with 31 nurses and nurse assistants from five Dutch LTCFs. Our focus group discussions continued until no new information could be identified from the data. We used Flottorps' comprehensive checklist for identifying determinants of practice (the TICD checklist) to guide data collection and analysis. The audiotapes were transcribed verbatim and two authors independently analysed the transcripts with Atlas.ti software.

RESULTS

LTCFs for the elderly have setting specific determinants that are decisive in explaining hand hygiene compliance. Most of these determinants are related to the residents with whom nurses build close relationships and for whom they want to create a homelike atmosphere. Residents can complicate the provision of care with unpredictable behaviour, being unwilling to receive care or use shared facilities. Our study also discovered setting-transcending determinants related to knowledge, professional interactions, guidelines, and incentives/resources.

CONCLUSIONS

Nurses in LTCFs are constantly pursuing a balance between working hygienically, responding adequately to acute care needs, and maintaining a homelike environment for their residents. As a result, setting-specific determinants affect hand hygiene compliance, as do the known determinants that are important in other care settings. To improve compliance in LTCFs, interventions should be selected on a theoretical base while linking these determinants to change interventions.

TRIAL REGISTRATION

Registration number 50-53000-98-113, Compliance With Hand Hygiene in Nursing Homes: Go for a Sustainable Effect (CHANGE) on ClinicalTrials.gov. Date of registration 28-6-2016.

Longitudinal study of ESBL Escherichia coli carriage on an organic broiler farm

Objectives

To determine the molecular characteristics of ESBL-producing Escherichia coli (ESBL-E) collected during a longitudinal study on an organic broiler farm in order to investigate clonal expansion and horizontal gene transfer.

Methods

Isolates were obtained from a longitudinal study performed previously on an organic broiler fattening farm. Samples from individually followed-up broilers, the broiler house, the transport van and persons that took the samples, taken at several timepoints (days 1, 3, 4, 7, 10, 42 and 70) within a production round and during the consecutive one (days 1, 2, 3 and 70), had been investigated for the occurrence of ESBL-E. In the current study, ESBL genes and MLST STs of these ESBL-E were determined. Plasmids were characterized and subtyped.

Results

On arrival in round_1, ESBL-E of ST88 predominated, while on days 3, 4, 7 and 10 ST10 was most often found and at slaughter age ST155 and ST1551 prevailed. A shift in STs was also observed in round_2. None of the 35 individually selected broilers followed up in round_1 was positive for the same ESBL-E ST at all sampling times. All isolates carried CTX-M-1 group genes, confirmed as blaCTX-M-1 in 158 isolates. Further analysis of 36 isolates of different STs showed blaCTX-M-1 on IncI1/ST3 plasmids.

Conclusions

The rapid dissemination of ESBL-E on this broiler farm was not due to the spread of one specific E. coli clone, but most likely the result of horizontal transfer of an IncI1/ST3 plasmid carrying blaCTX-M-1 resulting in a shift in the predominant ESBL-E population in broilers.

Carriage of antimicrobial-resistant commensal bacteria in Dutch long-term-care facilities

OBJECTIVES

The objective of this study was to assess carriage of antimicrobial-resistant commensal microorganisms, i.e. Escherichia coli and Staphylococcus aureus, and its predictors in long-term-care facilities (LTCFs).

METHODS

Nasal swabs and/or urine or incontinence samples were collected from participating residents in 111 LTCFs and tested for the presence of S. aureus and/or E. coli, respectively. Antimicrobial resistance to eight antimicrobials was linked to antimicrobial usage in the year preceding sampling and to LTCF characteristics. Using multilevel logistic regression, predictors of carriage of ESBL-producing E. coli in LTCFs were identified.

RESULTS

S. aureus was identified in 1269/4763 (26.6%) nasal swabs, including 13/4763 (0.3%) MRSA carriers in 9/107 (8%) LTCFs. Of the 5359 urine/incontinence samples, 2934 (55%) yielded E. coli, including 123 (4.2%) producing ESBL, which were found in 53/107 locations (range 1%-33%). For all but one antimicrobial (i.e. nitrofurantoin) >20% of isolated E. coli were resistant. Multilevel multivariable logistic regression identified two predictors of carriage of ESBL-producing E. coli: (i) antimicrobial usage (OR 1.8, 95% CI 1.1-3.0 for each extra 50 DDD/1000 residents/day); and (ii) presence of MRSA carriers in the LTCFs (OR 2.4, 95% CI 1.0-5.6).

CONCLUSIONS

The low proportion of 4.2% ESBL-producing E. coli and the low prevalence of 0.3% MRSA carriage found in LTCF residents suggest that Dutch LTCFs are not yet an important reservoir of MDR potential pathogens. Nevertheless, the large variation between LTCFs warrants close monitoring of antimicrobial resistance in LTCFs. Integrated surveillance, i.e. linking data sources on antimicrobial usage, microbiological testing, clinical background data and epidemiological data, is needed.

An evidence synthesis approach to estimating the incidence of symptomatic pertussis infection in the Netherlands, 2005-2011

BACKGROUND

Despite high vaccination coverage, infection with Bordetella pertussis is a current public health concern in the Netherlands and other European Union member states. Because surveillance data are subject to extensive under-ascertainment and under-reporting, incidence is difficult to determine. Our objective was to estimate the age-group specific incidence of symptomatic pertussis infection in the Netherlands over the period 2005-2011, using multi-parameter evidence synthesis.

METHODS

Age-specific seroconversion probabilities were estimated for 2007 using Netherlands population data stratified by age-group and cross-sectional population-wide serosurvey (PIENTER-2) data, with a sero-diagnostic cut-off of 125 EU/ml as a proxy for recent infection. Symptomatic probabilities were derived from a study of household contacts and from PIENTER-2. The annual number of symptomatic infected (SI) persons was estimated using evidence synthesis methods in a Bayesian framework, by combining the estimated incidence of infection with notification data and symptomatic probabilities.

RESULTS

An incidence rate of 128 SI cases per 10,000 population (95 % credible interval [CrI]: 110-150) was estimated for 2005, which decreased to 107 per 10,000 (95 % CrI: 91-126) for 2011. The degree of underestimation in statutory notified cases was age-dependent, ranging from 10-fold (10-19 years) to 69-fold (60+ years). The largest annual decreases in SI incidence rate over the study period were in the 1-4 and 5-9 years age-groups (24.3 %, 15.9 % per year, respectively).

CONCLUSIONS

By synthesising all available data, the incidence of symptomatic pertussis and the extent to which SI is underrepresented by notification data can be estimated. Such estimates are essential for disease burden computation and for informing public health priority-setting.