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. 2018 Nov 15;23(46):1800394. doi: 10.2807/1560-7917.ES.2018.23.46.1800394

Antimicrobial use in European long-term care facilities: results from the third point prevalence survey of healthcare-associated infections and antimicrobial use, 2016 to 2017

Enrico Ricchizzi 1, Katrien Latour 2, Tommi Kärki 3, Rossella Buttazzi 1, Béatrice Jans 2, Maria Luisa Moro 1, Olivia Aya Nakitanda 3, Diamantis Plachouras 3, Dominique L Monnet 3, Carl Suetens 3, Pete Kinross 3; the HALT Study Group4
PMCID: PMC6247460  PMID: 30458913

Abstract

Antimicrobials are commonly prescribed and contribute to the development of antimicrobial resistance in long-term care facilities (LTCFs). In 2010, the European Centre for Disease Prevention and Control initiated point prevalence surveys (PPS) of healthcare-associated infections and antimicrobial use in European LTCFs, performed by external contractors as the Healthcare-Associated infections in Long-Term care facilities (HALT) projects. Here, we investigated prevalence and characteristics of antimicrobial use and antimicrobial stewardship indicators in European LTCFs in 2016–17. Twenty-four European Union/European Economic Area (EU/EEA) countries, the former Yugoslav Republic of Macedonia and Serbia participated in the third PPS in European LTCFs. Overall, 4.9% (95% confidence interval: 4.8–5.1) of LTCF residents in the EU/EEA participating countries received at least one antimicrobial. The most commonly reported Anatomical Therapeutic Chemical (ATC) groups were beta-lactam antibacterials/penicillins (J01C), other antibacterials (J01X) (e.g. glycopeptide antibacterials, polymyxins), quinolones (J01M), sulfonamides and trimethoprim (J01E), and other beta-lactams (J01D). Urinary tract infections and respiratory tract infections were the main indications for antimicrobial prescription. This PPS provides updated and detailed information on antimicrobial use in LTCFs across the EU/EEA that can be used to identify targets for future interventions, follow-up of these interventions and promote prudent use of antimicrobials in European LTCFs.

Keywords: antimicrobial use, long-term care facility, LTCF, antimicrobial resistance, AMR, point-prevalence survey, PPS, surveillance, healthcare-associated infections, HAI

Introduction

Life expectancy is increasing steadily in the European Union/European Economic Area (EU/EEA). Population projections estimate that by 2050 the old-age dependency ratio, calculated as the number of individuals aged over 65 years per 100 people of working age, will reach 50% [1]. The ageing population is one reason for the transitions in healthcare delivery systems taking place in several EU/EEA countries. This includes reductions in hospital beds and in several countries more patient care being provided in long-term care settings [2]. Long-term care facilities (LTCFs) deliver a blend of health and social services to people who are limited in their ability to live independently, especially due to old age, and are in need of less intensive medical care than that usually provided in hospitals [3].

Despite the fact that less intensive medical care is provided in LTCFs than in hospitals, healthcare-associated infections (HAIs) are common in the vulnerable LTCF populations [4-9]. For this reason, antimicrobials are commonly prescribed in LTCFs, contributing to the development of antimicrobial resistance (AMR) and possibly leading to adverse events such as Clostridium difficile infection, and infections that are more difficult to treat [10,11]. As there is increasing evidence that LTCFs can serve as a reservoir for the transmission of resistant organisms to other healthcare settings, close monitoring of the situation is needed [12,13]. Furthermore, the lack of diagnostic capabilities may lead to suboptimal antimicrobial prescription in LTCFs [14,15].

Data on antimicrobial use in LTCFs are necessary to understand the reasons, magnitude and determinants of antimicrobial prescribing and to inform public health policies on prudent use of antimicrobials. In June 2017, the European Commission published guidelines for the prudent use of antimicrobials in human medicine, recommending to establish antimicrobial stewardship programmes in all healthcare facilities, including LTCFs [16]. Although several European countries already measure antimicrobial consumption, methodologies have not been consistent precluding meaningful comparisons, furthermore they have often concentrated in the acute care settings, with little attention given to LTCFs.

For this reason, the European Centre for Disease Prevention and Control (ECDC) initiated surveillance of HAIs and antimicrobial use in European LTCFs with point prevalence surveys (PPSs) under the Healthcare-Associated infections in Long-Term Care facilities (HALT) projects in 2010, 2013 and, most recently, in 2016–17. In the present study, we investigated the prevalence and characteristics of antimicrobial use and antimicrobial stewardship indicators in European LTCFs reported in the third European PPS of HAIs and antimicrobial use in LTCFs (HALT-3) in 2016–17.

Methods

Survey design

The survey was performed in 24 EU/EEA countries and two EU candidate countries, the former Yugoslav Republic of Macedonia and Serbia. The countries were asked to recruit LTCFs in their country for participation in the survey. According to the protocol [17], the selected LTCFs had to provide a broad range of services and assistance to people with limited abilities to function independently on a daily basis (i.e. to autonomously perform the basic activities of daily living over an extended period of time). In addition, these LTCFs could also provide basic medical services (wound dressing, pain management, medication, health monitoring, prevention, rehabilitation or palliative care), but the LTCF residents had to be medically stable, without the need for constant specialised medical care or invasive medical procedures. Resident stay in the selected LTCFs could vary from temporary to permanent (until end of life).

To improve country representativeness, a recommended minimum number of LTCFs per country was calculated and provided to the national coordinators. For each country, the recommended sample size was calculated anticipating a national crude HAI prevalence of 4%, with a 95% confidence interval (CI) of 3‒5% (1% precision). Although representative sampling was strongly recommended, purposive sampling, including convenience sampling or voluntary participation after the invitation of all LTCFs, was also accepted. Different types of LTCF could be recruited. While also specialised LTCF types (such as psychiatric facilities, rehabilitation centres and palliative care centres) were invited to participate, only data from general nursing homes (providing principally care to seniors with severe illnesses or injuries), residential homes (facilities usually providing personal care, housekeeping and three meals a day) and mixed LTCFs (providing mixed services for elderly or other resident populations) were considered for analysis. For countries contributing to the survey with more residents than in the calculated recommended sample size, a randomised sub-sample was used in the final analysis [17].

Data collection

Participating countries were asked to organise the survey during one of four proposed periods: April–June or September–November in 2016 or 2017. Ideally, data had to be collected on a single day for each LTCF. In large LTCFs, data collection could take place over 2 or more consecutive days, but all residents within one ward or unit had to be surveyed on the same day.

Data collection was conducted either by an external data collector (i.e. the national coordinator or a person trained by the national coordinator) or by a local data collector (i.e. an LTCF staff member, e.g. designated physician, infection control practitioner or nurse). To ensure standardisation of data collection, a ‘train-the-trainers’ workshop for the national coordinators was held in December 2015. It was recommended that national coordinators organise at least one 1-day information and training session for the LTCFs before the national survey [17].

A resident questionnaire was used to collect data for each resident receiving a systemic antimicrobial on the day of the survey. Data included resident characteristics (age, gender, length of stay in the LTCF (less or greater than 1 year)), risk factors (urinary catheter, vascular catheter, pressure sores, other wounds), care load indicators (faecal and/or urinary incontinence, disorientation in time and/or space, impaired mobility) and antimicrobial use (name of antimicrobial agent(s), indication and reasons for antimicrobial use, place of prescription, administration route, end or review date of documented prophylaxis or treatment) [17].

The 2018 version of the Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) Index of the World Health Organization Collaborating Centre for Drug Statistics Methodology was used to classify the antimicrobials into different groups [18]. Antimicrobial agents for systemic use within ATC groups A07AA (intestinal antiinfectives), D01BA (dermatological antifungals for systemic use), J01 (antibacterials for systemic use), J02 (antimycotics for systemic use), J04 (antimycobacterials), when used for treatment of mycobacteria (including tuberculosis) or as reserve for multidrug-resistant bacteria and P01AB (nitroimidazole-derived antiprotozoals), were included. Antiviral agents were not included.

Two main indications for antimicrobial use were recorded, i.e. prophylaxis and treatment. The indication was further divided according to the anatomical site or diagnosis of prophylaxis or treatment: urinary tract, genital tract, skin or wound, respiratory tract, gastrointestinal tract, eye, ear-nose-mouth, surgical site, tuberculosis, systemic infection, unexplained fever or other site or diagnosis not previously specified.

An LTCF institutional questionnaire was used to collect data on structures and processes in place in each participating LTCF, including current infection control practices and antimicrobial policies, e.g. written guidelines for appropriate antimicrobial use in the facility, annual regular training on appropriate antimicrobial prescribing or a ‘restrictive list’ of antimicrobials to be prescribed. In addition, anonymised and aggregated denominator data were also collected for the entire eligible LTCF population and included information on gender distribution, as well as the proportion of residents aged over 85 years who were receiving at least one antimicrobial agent, were disoriented in time and/or space, had urinary and/or faecal incontinence, had impaired mobility, had pressure sores, had a urinary catheter, had a vascular catheter, had other wounds and/or had surgery in the previous 30 days.

Statistical analysis

All data were checked for errors, omissions and inconsistent answers on the national level and centrally before analysis.

Analyses were performed in SAS 9.3 (SAS Institute, Cary, NC, United States) and R 3.5.0 (R Foundation for Statistical Computing, Vienna, Austria). We calculated the crude, pooled prevalence of antimicrobial use as the number of residents receiving at least one antimicrobial agent divided by the total number of eligible residents on the day of the survey. We also calculated the mean, median and interquartile range (IQR) for the prevalence of antimicrobial use for the included LTCFs overall and within each country.

Multivariable linear regression was used to assess the association between antimicrobial use on the day of the survey and the type and size of LTCFs, as well as characteristics of the LTCF resident population, including care load indicators. Countries reporting data by LTCF ward without indication of the corresponding LTCF (Portugal and Sweden), or data from LTCFs with missing population data on the LTCF questionnaire (France and Norway), as well as LTCFs which reported a prevalence of antimicrobial use of more than 60%, were excluded from this analysis. The latter were considered outliers and represented less than 0.2% of all participating LTCFs.

Ethical considerations and confidentiality

Each participating country had different requirements for ethical approval for the survey, with some requiring approval from an ethics committee as well as written informed consent of the residents (or their proxies). Confidentiality of the data was ensured by the use of a unique, coded survey identification number for each LTCF and for each resident.

Results

Participation

In total, 3,052 LTCFs with 181,462 eligible residents from 24 EU/EEA countries participated in the survey. After adjustment for over-representation of countries contributing to the survey with more than the recommended number of residents, 102,301 eligible residents from 1,788 LTCFs remained in the dataset used for this analysis (Table 1). Data from the United Kingdom (UK) were reported separately for three administrations: UK-Northern Ireland, UK-Scotland and UK-Wales. UK-England did not participate in the survey. The Czech Republic only provided institutional-level data for nine LTCFs and was therefore excluded in the antimicrobial use and resident data analysis.

Table 1. Prevalence of antimicrobial use, by country, 23 European Union/European Economic Area countriesa, the former Yugoslav Republic of Macedonia and Serbia, 2016–2017.

Country LTCFs Eligible residents Antimicrobial use
Residents with at least one antimicrobial Observed prevalence Mean prevalence of LTCFs Median prevalence of LTCFs
n n n % (95% CI) % IQR (%)
Austria 12 2,065 67 3.2 (2.5 to 4.1) 2.9 2.4 (1.0 to 4.7)
Belgium 79 8,206 482 5.9 (5.4 to 6.4) 5.8 5.1 (2.9 to 8.1)
Croatia 8 1,607 32 2.0 (1.4 to 2.8) 3.2 3.6 (0.8 to 4.9)
Cyprus 11 312 29 9.3 (6.3 to 13.1) 10.1 7.7 (4.8 to 17.0)
Denmark 95 3,346 350 10.5 (9.4 to 11.5) 10.7 9.0 (6.3 to 15.0)
Finland 149 5,914 394 6.7 (6.0 to 7.3) 7.0 5.9 (2.3 to 10.5)
France 91 6,957 187 2.7 (2.3 to 3.1) 2.7 2.3 (0 to 4.3)
Germany 82 6,705 85 1.3 (1.0 to 1.6) 1.3 0.9 (0 to 1.9)
Greece 13 812 49 6.0 (4.5 to 7.9) 7.5 4.2 (3.0 to 11.6)
Hungary 75 7,670 71 0.9 (0.7 to 1.2) 0.9 0 (0 to 1.4)
Ireland 109 5,613 543 9.7 (8.9 to 10.5) 11.7 8.6 (5.4 to 14.7)
Italy 196 11,417 495 4.3 (4.0 to 4.7) 5.5 3.1 (0.8 to 6.6)
Lithuania 26 3,438 25 0.7 (0.5 to 1.1) 0.9 0 (0 to 1.0)
Luxembourg 16 1,616 42 2.6 (1.9 to 3.5) 2.5 1.5 (0.9 to 4.2)
Malta 11 2,485 66 2.7 (2.1 to 3.4) 1.6 1.4 (0.5 to 2.4)
The Netherlands 57 4,547 202 4.4 (3.9 to 5.1) 5.1 4.3 (1.6 to 6.7)
Norway 62 2,447 169 6.9 (5.9 to 8.0) 7.0 4.6 (2.1 to 10.3)
Poland 24 2,281 73 3.2 (2.5 to 4.0) 4.4 2.9 (0.9 to 6.5)
Portugal 132 3,633 220 6.1 (5.3 to 6.9) 6.8 4.3 (0 to 10.0)
Slovakia 59 5,091 113 2.2 (1.8 to 2.7) 2.9 1.2 (0 to 3.4)
Spain 46 6,808 717 10.5 (9.8 to 11.3) 11.7 10.8 (3.5 to 17.3)
Sweden 285 3,604 118 3.3 (2.7 to 3.9) 3.2 0 (0 to 5.6)
UK – Northern Ireland 70 2,614 270 10.3 (9.2 to 11.6) 10.4 9.8 (5.0 to 14.3)
UK – Scotland 52 2,147 138 6.4 (5.4 to 7.5) 6.2 5.1 (0 to 10.9)
UK – Wales 28 966 98 10.1 (8.3 to 12.2) 10.1 8.2 (5.5 to 11.4)
EU/EEA 1,788 102,301 5,035 4.9 (4.8 to 5.1) 5.8 3.6 (0 to 8.5)
former Yugoslav Republic of Macedonia 4 294 26 8.8 (5.9 to 12.7) 5.2 5.1 (2.5 to 7.9)
Serbia 6 1,168 57 4.9 (3.7 to 6.3) 6.0 4.0 (3.7 to 5.5)

CI: confidence interval; EU/EEA: European Union/European Economic Area; IQR: interquartile range; LTCFs: long-term care facilities; UK: United Kingdom.

aFor the United Kingdom, data for Northern Ireland, Scotland and Wales are presented separately. England did not participate in the survey. The Czech Republic did not provide resident-level data.

Antimicrobial use and resident data

On the day of the survey, 5,035 residents received at least one antimicrobial agent, resulting in a crude, pooled prevalence of antimicrobial use of 4.9% (95% CI: 4.8 to 5.1). The mean antimicrobial use prevalence of LTCFs was 5.8% and the median was 3.6% (interquartile range (IQR): 0.0–8.5) (Table 1).

Detailed information on antimicrobial prescribing was provided for 5,006 residents (i.e. all participating countries except Cyprus and the Czech Republic). The median age of residents was 85 years; 65.7% were female and 93.8% received one antimicrobial agent, while 5.8% received two and 0.4% received more than two. In total, 5,344 antimicrobial agents were reported to have been given on the day of the survey, an average of 1.07 antimicrobial agents per resident. Antimicrobials were mainly administered orally (88.1%) The parenteral route (intramuscular or intravenous) was used for 10.9% of prescribed antimicrobials and nasal or rectal administration route was reported for only 0.7% of prescribed antimicrobials.

Antimicrobials were most frequently prescribed within the same LTCF (77.9%), followed by an acute care hospital (12.9%) or another location (5.1%), with no data provided for the remaining 4.2%. The indication was reported as treatment for 69.5% and prophylaxis for 29.4% of prescribed antimicrobials, and indication was missing for the remaining 1.1%. An end or review date for the prescription was documented for 64.6% of prescribed antimicrobials and was higher for treatment (81.6%) than for prophylaxis (26.2%). Figure 1 shows the distribution of antimicrobial use by indication and common site of infection for the EU/EEA overall and for each country.

Figure 1.

Indications (treatment or prophylaxis, for the most commonly sites of infection) for antimicrobial use in long-term care facilities, by country, 22 European Union/European Economic Area countriesa, the former Yugoslav Republic of Macedonia and Serbia, 2016–2017

EU/EEA: European Union/European Economic Area.

aFor the United Kingdom, data for Northern Ireland, Scotland and Wales are presented separately. England did not participate in the survey. The Czech Republic did not provide resident-level data. Cyprus did not provide detailed information on antimicrobial prescribing.

Figure 1

Overall, the urinary tract was the most common body site for which antimicrobials were prescribed (46.1%), followed by respiratory tract (29.4%) and skin or wound (12.6%). Combined, these sites accounted for 88.0% of all antimicrobial prescriptions. When stratified by indication, the most common sites for antimicrobial treatment were the respiratory tract (37.2%), urinary tract (34.4%), skin or wound (15.8%) and gastrointestinal tract (2.8%). For prophylaxis, the urinary tract was the most common body site (74.0%), followed by respiratory tract (11.3%), skin or wound (4.8%), another non-specified body site (3.4%) and gastrointestinal tract (2.4%).

Antibacterials for systemic use (ATC J01) accounted for 95.4% of all antimicrobial prescriptions. Other antimicrobial groups accounted for the remaining 4.6%, i.e. nitroimidazole derivatives (P01AB, 1.5%), intestinal anti-infectives–antibiotics (A07AA, 1.3%), antimycotics for systemic use (J02, 1.2%), antimycobacterials for treatment of tuberculosis (J04A, 0.5%) and antifungals for systemic use (D01B, 0.2%).

In total, 5,098 prescriptions of antibacterials for systemic use (ATC J01) were reported. Within this group, the most frequently reported subgroups were: beta-lactam antibacterials, penicillins (J01C: 30.2%), other antibacterials (J01X: 18.6%), quinolones (J01M: 14.9%), sulfonamides and trimethoprim (J01E: 13.3%) and other beta-lactams (J01D: 12.6%). Other groups accounted for the remaining 10.4% of antibacterials for systemic use. Figure 2 shows the distribution of antibacterials for systemic use by indication (prophylaxis or treatment) and by country.

Figure 2.

Distribution of antibacterials for systemic use (ATC group J01) into groups, by main indication (prophylaxis or treatment) and by country, 22 European Union/European Economic Area countriesa, the former Yugoslav Republic of Macedonia and Serbia, 2016–2017

EU/EEA: European Union/European Economic Area.

aFor the United Kingdom, data for Northern Ireland, Scotland and Wales were reported separately. England did not participate in the survey. The Czech Republic did not provide resident-level data. Cyprus did not provide detailed information on antimicrobial prescribing.

Figure 2

For prophylaxis of urinary tract infection (UTI), the most frequently used antimicrobial agents were trimethoprim (J01EA01: 29.7%), nitrofurantoin (J01XE01: 27.0%), methenamine (J01XX05: 11.6%), cefalexin (J01DB01: 6.1%) and fosfomycin (J01XX01: 5.9%); these accounted for 81.8% of all antimicrobials used for prophylaxis of UTI.

The LTCF and LTCF population characteristics associated with prevalence of antimicrobial use, as identified in the multivariable linear regression analysis, are presented in Table 2. The regression model indicated that LTCF and LTCF population characteristics only explained 19% of the variance in the prevalence of antimicrobial use (R2 = 0.1889). Prevalence of antimicrobial use was significantly higher in mixed LTCFs, as well as in LTCFs with less than 65 beds. For the demographic characteristics, for one percent increase in the proportion of male residents the prevalence of antimicrobial use increased by 7%. For one percent increase in the proportion of residents over 85 years of age, the prevalence of antimicrobial use increased by 5%. For the care load indicators and risk factors, the most significant increases in antimicrobial use prevalence were associated with the proportion of residents with a vascular catheter and with surgery in the previous 30 days; for one percent increase in the proportion of these risk factors, the prevalence increased by 26% and 20%, respectively.

Table 2. Multivariable linear regression analysis of long-term care facility and resident characteristics in relation to the prevalence of antimicrobial use, 19 European Union/European Economic Area countriesa, the former Yugoslav Republic of Macedonia and Serbia, 2016–2017.

Characteristics Coefficient
(95% CI)
p-value
Type of LTCF
Residential home Ref
General nursing home 0.38 (-0.54 to 1.31) 0.418
Mixed 1.41 (0.40 to 2.42) 0.006
Size of LTCF
≥ 105 beds Ref
65–104 beds 0.62 (-0.47 to 1.71) 0.266
37–64 beds 2.25 (1.22 to 3.29) < 0.001
< 37 beds 3.27 (2.25 to 4.29) < 0.001
Characteristics of LTCF residents (%)
Aged over 85 years 0.05 (0.03 to 0.08) < 0.001
Male 0.08 (0.05 to 0.11) < 0.001
Using a wheelchair or bedridden -0.04 (-0.06 to -0.02) < 0.001
Disoriented in time and/or space 0.00 (-0.01 to 0.02) 0.648
Urinary and/or faecal incontinence 0.02 (-0.00 to 0.04) 0.052
Pressure sore -0.03 (-0.09 to 0.02) 0.229
Other wound 0.10 (0.06 to 0.14) < 0.001
Surgery in the previous 30 days 0.20 (0.10 to 0.30) < 0.001
Urinary catheter 0.04 (0.00 to 0.08) 0.043
Vascular catheter 0.26 (0.18 to 0.33) < 0.001

CI: confidence interval; EU/EEA: European Union/European Economic Area; LTCF: long-term care facility.

aFor the United Kingdom, data for Northern Ireland, Scotland and Wales were reported separately. England did not participate in the survey. The Czech Republic did not provide resident-level data. France, Portugal, Norway and Sweden were excluded from the multivariable analysis (see Methods).

Significant p-values are shown in bold.

Antimicrobial stewardship indicators

Of the antimicrobial stewardship indicators reported at LTCF level, the most common was ‘written guidelines for appropriate antimicrobial use in the LTCF’ (39.4%). Annual regular training on appropriate antimicrobial prescribing was reported by 20.7% of LTCFs included in the sample. Having a ‘restrictive list’ of antimicrobials was reported by 24.0% of LTCFs; the antimicrobials most commonly restricted were carbapenems (J01DH, 70.1%), parenteral vancomycin (J01XA01, 63.7%), all intravenously administered antibiotics (53.9%), glycopeptides (J01XA, 53.9%), third-generation cephalosporins (J01DD, 45.3%), ‘broad-spectrum antibiotics’ (41.9%), fluoroquinolones (J01MA, 32.8%) and mupirocin (D06AX09 and R01AX06, 21.3%) (Table 3).

Table 3. Structure and process indicators of antimicrobial stewardship reported in participating LTCFs, by country, 23 European Union/European Economic Area countriesa, the former Yugoslav Republic of Macedonia and Serbia, 2016–2017.

Countrya Responding LTCFs Written guidelines for appropriate antimicrobial use in the LTCF Annual regular training on appropriate antimicrobial prescribing Responding LTCFs A ‘restrictive list’ of antimicrobials to be prescribed Antimicrobial groups reported as being restricted (‘restrictive list’)(ATC code)
J01DD J01MA J01DH J01XA J01XA01 IAA BSA D06AX09, R01AX06
n n % n % n n % n n n n n n n n
Austria 12 9 75.0 2 16.7 12 2 16.7 0 0 2 1 0 0 0 0
Belgium 78 27 34.6 5 6.4 79 11 13.9 1 1 2 2 2 3 2 5
Croatia 8 1 12.5 0 0 8 1 12.5 1 0 0 0 0 0 1 0
Cyprus 11 2 18.2 1 9.1 11 1 9.1 1 1 0 0 1 0 0 0
Czech Republic 9 1 11.1 1 11.1 9 1 11.1 0 0 1 1 1 0 0 0
Denmark 95 2 2.1 0 0 95 1 1.1 0 0 0 0 0 0 0 0
Finland 147 20 13.6 7 4.8 149 4 2.7 0 0 0 0 0 4 0 0
Germany 82 1 1.2 2 2.4 82 0 0.0 0 0 0 0 0 0 0 0
Greece 13 0 0 0 0 13 5 38.5 4 4 4 4 4 4 4 4
Hungary 72 6 8.3 2 2.8 75 10 13.3 0 0 2 2 5 10 1 0
Ireland 106 41 38.7 8 7.5 109 15 13.8 6 1 7 2 5 6 1 3
Italy 193 41 21.2 19 9.8 195 110 56.4 36 19 91 60 77 45 29 16
Lithuania 26 0 0 0 0 26 1 3.8 0 0 1 1 1 0 0 1
Luxembourg 16 1 6.3 0 0 16 0 0.0 0 0 0 0 0 0 0 0
Malta 11 5 45.5 1 9.1 11 0 0.0 0 0 0 0 0 0 0 0
The Netherlandsb 21 21 100 NAc NA 22 21 95.5 0 0 0 0 0 0 0 0
Norway 51 39 76.5 9 17.6 NAc NA NA NA NA NA NA NA NA NA NA
Poland 24 7 29.2 2 8.3 24 8 33.3 4 2 6 4 5 2 3 0
Portugal 130 49 37.7 28 21.5 132 102 77.3 51 35 67 53 68 57 48 48
Slovakia 59 19 32.2 0 0 59 59 100.0 59 59 59 59 59 59 59 0
Spain 42 31 73.8 14 33.3 46 25 54.3 6 0 21 13 11 5 7 3
Sweden 285 285 100 236 82.8 285 0 0.0 0 0 0 0 0 0 0 0
UK – Northern Ireland 70 20 28.6 2 2.9 70 2 2.9 0 0 0 0 0 2 0 0
UK –Scotland 52 15 28.8 1 1.9 51 5 9.8 1 1 0 0 0 4 1 0
UK – Wales 26 3 11.5 0 0 28 2 7.1 0 0 0 0 0 1 1 0
EU/EEA 1 639 646 39.4 340 20.7 1 607 386 24.0 170 123 263 202 239 202 157 80
Former Yugoslav Republic of Macedonia 4 1 25.0 1 25.0 4 0 0.0 0 0 0 0 0 0 0 0
Serbia 6 2 33.3 1 16.7 6 1 16.7 1 1 0 0 0 1 1 0

BSA: Broad-spectrum antibiotics; D06AX09, R01AXA6: Mupirocin; EU/EAA: European Union/European Economic Area; IAA: Intravenously-administered antibiotics; J01DD: Third-generation cephalosporins; J01DH: Carbapenems; J01MA: Fluoroquinolones; J01XA: Glycopeptides; J01XA01: Vancomycin (parenteral); LTCF: long-term care facility; NA: not available.

aFor the United Kingdom, data for Northern Ireland, Scotland and Wales are presented separately. England did not participate in the survey.

bOnly a limited number of participating LTCFs in the Netherlands collected antimicrobial stewardship data.

cData were not collected.

France did not provide data for the items presented in the table.

Discussion

This study examined antimicrobial prescribing in LTCFs in 24 EU/EEA countries. The crude prevalence of residents receiving at least one antimicrobial agent was 4.9%; the majority of antimicrobials being administered orally. Antimicrobials were more frequently prescribed for the treatment of an infection, while almost one third were given as prophylaxis. The crude prevalence of antimicrobial use in this survey in 2016–17 was similar to that reported in previous similar HALT surveys from 2010 (4.3%) and 2013 (4.4%) [19,20]. UTIs and respiratory tract infections were the main indications for antimicrobial use, both for treatment or as prophylaxis. This and previous similar surveys in the EU/EEA consistently show large variations of antimicrobial prescribing practices in LTCFs, across and within participating countries [19-21]. The prevalence of residents receiving antimicrobials for prophylaxis also varied largely across countries. In Denmark and Finland, prophylaxis was reported more frequently than treatment, confirming the high proportion of prophylaxis reported in previous surveys from these countries [19,20].

The most commonly prescribed antimicrobials were: penicillins, other antibacterials, quinolones, sulfonamides and trimethoprim, and other beta-lactams. Penicillins, other antibacterials and quinolones were also the most frequently prescribed antimicrobials in both the 2010 and 2013 HALT surveys. For UTI prophylaxis, other antibacterials, sulfonamides and trimethoprim, and penicillins were the most commonly prescribed antimicrobials, as in both the 2010 and 2013 surveys [19,20].

There is variation within the EU/EEA in what is considered long-term care with regard to sheltered housing, length of stay and range of beneficiaries, as well as an absence of a clear division between medical and social services [22]. To enhance comparability, we only included nursing homes, residential homes and mixed LTCFs in this analysis. Despite this, we noted differences in the case-mix of resident populations. For example, Spain reported that post-acute care residents were commonly included to the surveyed population. In the Netherlands, the level of care provided in the LTCFs covers residents that previously would have often been admitted to a hospital. Therefore, such differences in the definition of long-term care might partially explain a high prevalence of antimicrobial use in some EU/EEA countries. The large variation between LTCFs in the prevalence of residents with a vascular catheter or with previous surgery is an indication that some of the participating LTCFs could, in fact, be step-down facilities with a very different resident case-mix than an average nursing home.

Large differences were observed in the prevalence of care load indicators and risk factors between countries, as well as within each country (unpublished data). Our multivariable analysis showed that several of these indicators and risk factors were independently and positively associated with prevalence of antimicrobial use. However, our model that took into account LTCF characteristics and resident characteristics, including care load and risk factors, only explained 19% of the variation in the prevalence of antimicrobial use in LTCFs in EU/EEA countries. This suggests that other factors, such as national or regional regulations on antimicrobial use, as well as local habits and prescriber preferences and practices, have a larger impact than characteristics of the residents’ population [23]. In this survey, prophylaxis of UTI was a frequent indication for antimicrobial use in LTCFs, remaining the most common indication in several countries and showing no significant decline since the HALT surveys performed in 2010 or 2013 [19,20]. Although evidence suggests that long-term antimicrobials for prophylaxis may reduce the risk of recurrence of UTIs in women [24], this benefit diminishes immediately on cessation of antimicrobial use and, more importantly, is associated with a large increase in the proportion of antibiotic-resistant bacteria isolated from urine and faeces. Therefore, the practice of prescribing antimicrobials for prophylaxis of UTI should be carefully evaluated, and more studies about the effectiveness of prophylaxis of UTIs in the LTCF populations may be needed, depending also on the chosen antimicrobial. For example, the characteristics of methenamine (ATC J01XX05) are very different from that of other antimicrobials commonly prescribed for prophylaxis of UTI [25,26].

Information on antimicrobial stewardship indicators was collected to describe the resources available in LTCFs to support rational use of antimicrobials. Documentation of the end or review date for the prescription in the residents’ notes is an indicator of the quality of antimicrobial prescription, and this end or review date was documented for almost two out of three prescriptions overall; however, end or review dates were only reported in one out of four prescriptions for prophylaxis. Other antimicrobial stewardship indicators, such as guidelines for appropriate use, were reported by a small proportion of LTCFs in the EU/EEA. Some countries, such as France, Germany, the Netherlands and Norway, reported the dissemination of national guidelines and Norway and the Netherlands reported that the guidelines were specific for the elderly patient population. The antimicrobial stewardship indicator data in this survey were comparable with that from previous similar surveys, which indicate that improvements in antimicrobial stewardship are urgently needed in LTCFs in the EU/EEA [16,27].

The strengths of this survey include the use of a standardised protocol across all participating LTCFs, the collection of detailed data on the LTCF characteristics and antimicrobial stewardship practices and the inclusion of a wide variety of LTCF residents and data on their antimicrobial use. The survey is characterised by broad participation and a very large sample size, providing a good overall picture of antimicrobial use in LTCFs in the EU/EEA, with meaningful benchmarks for participating countries and LTCFs. Considering the participation and representativeness of the current survey, it is important to note that the overall number of participating countries increased from the previous HALT survey in 2013; in addition, the number of participating LTCFs increased progressively between the first survey in 2010 and this iteration in 2016–17. Increasing participation remains important, as repeating the survey at European level with regular time intervals can encourage countries to develop their own national surveillance network for LTCFs, as has been the case in the Netherlands, Norway and Sweden, for example [28-30].

One limitation of this survey was its cross-sectional design, as a survey conducted on one single day can be prone to variation. Nevertheless, this methodology was chosen because of its feasibility when applied in settings with limited resources for surveillance and for infection prevention and control, such as LTCFs. Another limitation was that country representativeness was not optimal in all countries and convenience sampling was often used; both of these factors add to the limitations for inter-country comparisons. An additional limitation of our analysis was the large number of LTCFs that did not report any resident with at least one antimicrobial agent on the day of the survey, which may be another consequence of the differences between participating LTCFs and might warrant more sophisticated statistical methods to take this into account in future analyses.

In conclusion, this third PPS provided overall representative data on antimicrobial use in LTCFs across the EU/EEA countries, and demonstrated that continued surveillance for antibiotic use and stewardship practices in LTCFs remains critical. The survey data allow for identifying targets for future antimicrobial stewardship interventions, specifically in LTCFs; for example focusing on prophylaxis for UTIs, following up on the impact of interventions and, ultimately, contributing to the promotion of prudent use of antimicrobials in LTCFs.

Acknowledgements

The authors would like to thank all the participating LTCFs and, in particular, all LTCF staff who collected, validated and entered the data during the survey and the national teams that coordinated the survey in each participating country.

The authors would also like to acknowledge the contribution of the following persons in particular: Vivika Adamson (Tartu University Hospital, Tartu, Estonia); Mait Altmets (North Estonia Medical Centre, Tallinn, Estonia); Mailis Hansen (West-Tallinn Central Hospital, Tallinn, Estonia); Saija Toura (National Institute for Health and Welfare, Helsinki, Finland); Dinah Arifulla, (National Institute for Health and Welfare, Helsinki, Finland); Anaïs Machut (CPias Auvergne-Rhône-Alpes, University hospital (HCL), Lyon, France); Gaëtan Gavazzi (University Hospital, Grenoble, France); Konstantinos Papanikolaou (Heraklion University Hospital (PAGNH), Heraklion, Greece) Andreas Panoskaltsis (Heraklion University Hospital (PAGNH), Heraklion, Greece); Ria Benkő and Mária Matuz (Operational Contact Points for Epidemiology – Antimicrobial Consumption (AMC), University of Szeged, Hungary); Henny Lugten (Accoladezorg, Bosch en Duin, the Netherlands); Barbara Gryglewska (Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland); Małgorzata Bulanda (Chair of Microbiology, Faculty of Medicine Jagiellonian University Medical School, Krakow, Poland); Waleria Hryniewicz (National Medicines Institute (NMI), Warsaw, Poland); the National Programme for Protection of Antibiotics (NPOA) funded by the Ministry of Health; Maria Goreti Silva (Direção-Geral da Saúde (DGS), Lisbon, Portugal); Elena Noriega (Direção-Geral da Saúde (DGS), Lisbon, Portugal); Ana Paula Cruz (Direção-Geral da Saúde (DGS), Lisbon, Portugal).

Members of the HALT Study Group: Luigi Segagni Lusignani (Medical University Vienna, Vienna, Austria; luigi.segagnilusignani@meduniwien.ac.at)

Reinhild Strauss (Federal Ministry for Labour, Social Security, Health and Consumer Protection (BMAGSK) Vienna, Austria; Reinhild.strauss@sozialministerium.at)

Katrien Latour (Sciensano, Brussels, Belgium; Katrien.Latour@sciensano.be)

Béatrice Jans (Sciensano, Brussels, Belgium; beatrice.jans@telenet.be)

Dana Hedlová (National Institute of Public Health, Prague, Czech Republic; dana.hedlova@uvn.cz)

Vlastimil Jindrák (National Institute of Public Health, Prague, Czech Republic; vlastimil.jindrak@gmail.com)

Zrinka Bošnjak (University of Zagreb School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia; zbosnjak@kbc-zagreb.hr)

Ana Budimir (University of Zagreb School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia; abudimir@kbc-zagreb.hr)

Elena Gabriel (Ministry of Health, Nicosia, Cyprus; EGabriel@ns.moh.gov.cy)

Christian Stab Jensen (Statens Serum Institut (SSI), Copenhagen, Denmark; csj@ssi.dk)

Outi Lyytikäinen (National Institute for Health and Welfare, Helsinki, Finland; outi.lyytikainen@thl.fi)

Emmi Sarvikivi (National Institute for Health and Welfare, Helsinki, Finland; emmi.sarvikivi@thl.fi)

Anne Savey (CPias Auvergne-Rhône-Alpes, University Hospital (HCL), Lyon, France; anne.savey@chu-lyon.fr)

Côme Daniau (National Public Health Agency (Santé publique France), Saint Maurice, France; come.daniau@santepubliquefrance.fr)

Nicole Schmidt (Healthcare-associated Infections, Surveillance of Antibiotic Resistance and Consumption, Infectious Disease Epidemiology, Robert Koch-Institute (RKI), Berlin, Germany; schmidtn@rki.de)

Claudia Ruscher (Applied Infection Control and Hospital Hygiene; Department of Infectious Diseases, Robert Koch-Institute (RKI); Berlin, Germany; ruscherc@rki.de)

Maria-Evangelia Adami (Heraklion University Hospital (PAGNH), Heraklion, Greece; emaria.adami@gmail.com)

Symeon H. Panagiotakis (Heraklion University Hospital (PAGNH), Heraklion, Greece; simeongpan@hotmail.com)

István Veress (Department of Hospital Hygiene and Epidemiological Surveillance, Budapest, Hungary; istvan.veress@emmi.gov.hu)

Karen Burns (Health Protection Surveillance Centre, Beaumont Hospital & Royal College of Surgeons in Ireland, Dublin, Ireland; karen.burns1@hse.ie)

Helen Murphy (Health Protection Surveillance Centre, Dublin, Ireland; helen.murphy@hpsc.ie)

Carla M. Zotti (Dept. Public Health Sciences and Paediatrics, Turin, Italy; carla.zotti@unito.it)

Maria Francesca Furmenti (Dept. Public Health Sciences and Paediatrics, Turin, Italy; mariafrancesca.furmenti@unito.it)

Justina Avelytė (Institute of Hygiene (HI), Vilnius, Lithuania; justina.avelyte@hi.lt)

Murielle Weydert (Ministère de la Famille, de l’Intégration et à la Grande Région, Luxembourg, Luxembourg; murielle.weydert@fm.etat.lu)

Branka Petrovska Basovska (Institute of Public Health of Republic of Macedonia – Skopje, Skopje, the former Yugoslav Republic of Macedonia; branka.petrovska@yahoo.com)

Dragan Kochinski (Institute of Public Health of Republic of Macedonia – Skopje, Skopje, the former Yugoslav Republic of Macedonia; dragan.kocinski@gmail.com)

Michael A. Borg (Mater Dei Hospital & University of Malta, Msida, Malta; michael.a.borg@gov.mt)

Mark Bonanno (St. Vincent de Paul Residence, Luqa, Malta; mark.bonanno@gov.mt)

Linda Verhoef (National Institute for Public Health and Environment (RIVM), Bilthoven, The Netherlands; 'l.p.b.verhoef@nvwa.nl')

Kati Halonen (National Institute for Public Health and Environment (RIVM), Bilthoven, The Netherlands; kati.halonen@rivm.nl)

Hanne-M. Eriksen (Norwegian Institute of Public Health, Oslo, Norway; hmer@fhi.no)

Horst Bentele (Norwegian Institute of Public Health, Oslo, Norway; hobe@fhi.no)

Jadwiga Wojkowska-Mach (Chair of Microbiology, Faculty of Medicine Jagiellonian University Medical School, Krakow, Poland; mbmach@cyf-kr.edu.pl)

Beata Mazińska (National Medicines Institute (NMI), Warsaw, Poland; b.mazinska@nil.gov.pl)

Pedro Pacheco (Direção-Geral da Saúde (DGS), Lisbon, Portugal; pedrojorgepacheco@gmail.com)

Margarida Valente (Direção-Geral da Saúde (DGS), Lisbon, Portugal; margaridavalente@dgs.min-saude.pt)

Ljiljana Markovic-Denic (University of Belgrade, Faculty of Medicine, Belgrade, Serbia; markovic.denic@gmail.com)

Gordana Krtinic (General Hospital, Subotica, Serbia; gordana.krtinic@bolnicasubotica.com)

Mária Kopilec Garabášová (Regional Public Health Authority in Trenčín, Slovakia; garabasova.majka@yahoo.com)

Mária Štefkovičová (Alexander Dubcek University in Trenčín and Regional Public Health Authority in Trenčín, Slovakia; tn.stefkovicova@uvzsr.sk)

Enric Limon Caceres (VINCat program, Spain & University of Barcelona, Barcelona, Spain; elimon@iconcologia.net)

Maria José Torijano Castillo (Epidemiology Area of the Autonomous Community of Madrid, General Directorate of Public Health, Madrid, Spain; mariajose.torijano@salud.madrid.org)

Tomas Söderblom (The Public Health Agency of Sweden, Solna Sweden; tomas.soderblom@folkhalsomyndigheten.se)

Jenny Hellman (The Public Health Agency of Sweden, Solna, Sweden; jenny.hellman@folkhalsomyndigheten.se)

Muhammad Sartaj (HSC Public Health Agency, Belfast, Northern Ireland, UK; muhammad.sartaj@hscni.net)

Tony Crockford (HSC Public Health Agency, Belfast, Northern Ireland UK; tony.crockford@hscni.net)

Shona Cairns (National Services Scotland, Health Protection Scotland, Glasgow, Scotland, UK; shona.cairns@nhs.net)

Cheryl Gibbons (National Services Scotland, Health Protection Scotland, Glasgow, Scotland, UK; cheryl.gibbons@nhs.net)

Wendy Harrison (Public Health Wales, Cardiff, Wales, UK; wendy.harrison2@wales.nhs.uk)

Christine Jeffrey (Public Health Wales, Cardiff, Wales, UK; Christine.jeffrey@wales.nhs.uk)

Conflict of interest: None declared.

Authors’ contributions: Enrico Ricchizzi (ER) wrote the original draft; Katrien Latour, Pete Kinross and ER managed and coordinated planning and execution of the survey, and performed the data analysis; Tommi Kärki contributed to the design of the survey and coordination of its execution, contributed to the data analysis and wrote the advanced draft; Rossella Buttazzi contributed to the data analysis; Béatrice Jans, Maria Luisa Moro, Dominique L. Monnet and Carl Suetens contributed to the design of the survey; Olivia Aya Nakitanda and Diamantis Plachouras contributed to coordination of the execution of the survey; the HALT Study Group members contributed to design of the survey, coordinated its execution in their respective countries and provided national interpretations on the results of the analysis. All authors critically reviewed and edited the manuscript.

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