Surveillance of influenza-like illness in Belgian nursing homes
© Jans et al. 2010
Published: 29 September 2010
KeywordsNursing homes surveillance influenza A(H1N1)2009 influenza-like illness seasonal flu
Elderly often combine several risk factors that influence the course and severity of an influ-enza infection. The World Health Organization strongly recommends vaccination of elderly living in care facilities. Even if vaccine effectiveness seems to decline with age , several studies [2, 3] show that vaccination reduces the risk for pneumonia, hospitalisation and death during an influenza epidemic. Vaccination is also important among nursing home (NH) staff in close contact with this frail population. Studies have provided evidence that NHs with high vaccination coverage among health care workers (HCW) have a lower mortality and morbidity among residents [4–7]. Belgian data on the incidence of influenza-like illness (ILI) and on vaccination among NH residents and HCW are scarce. Hence, during the A(H1N1)2009 pandemic, a small pilot sentinel network of NHs was set up in order to collect epidemiological data on ILI and vaccination coverage among NH residents and HCW.
Aims of this surveillance
to measure the incidence of ILI in Belgian NH residents during the influenza season of 2009-2010,
to collect quantitative data on vaccination coverage for A(H1N1)2009 and seasonal flu as well as on absenteeism for ILI among HCW in NHs during the same observation period.
Setup of the surveillance
The Scientific Institute of Public Health (WIV-ISP) invited all Belgian NHs (n = 1,606) to volun-tarily participate in a national network for the surveillance of all new cases of ILI. A local surveillance contact person was designated in each participating facility.
The enrolment form completed by the local contact person provided general descriptive in-formation on the NH such as the total bed capacity and the number of staff members employed. The latter group was split up in four professional categories: nursing/care staff, paramedical, logistic and administrative staff.
Case definition of ILI
ILI was defined as a condition including some or all of the following symptoms: fever, chills, myalgias, vomiting, headache, loss of appetite and/or cough. At the start of the surveillance, virological confirmation of A(H1N1)2009 cases was no longer routinely performed, making it impossible to distinguish between A(H1N1)2009 and seasonal flu.
The collected resident data for each new ILI case were: year of birth, date of onset of the first symptoms, prescribed treatment (antiviral, antibiotic or other), presence of comorbidity (diabetes, chronic pulmonary disease, impaired immunity, severe/moderate cardiac illness, renal disease or hepatic disease), course of illness (recovered, hospitalised, complication, death attributable to ILI or death by other cause) and presence of an earlier ILI episode since June 2009.
The total number of resident-days during the period was collected as denominator.
Following data concerning the NH staff were registered at the end of each observation period: the cumulative number of staff members by professional category that have been vaccinated against A(H1N1)2009 and seasonal flu and the total number of staff members by professional category absent for ILI (or complications).
The surveillance period (1 November 2009 - 31 March 2010) was split into ten observation periods of 2 weeks each (from the 1st until the 14th and from the 15th until the end of each month). All enrolled NHs were invited to participate throughout all 10 periods in order to obtain data covering the whole observation period. When no cases of ILI were registered during the surveillance period, the surveyor had to indicate "0% incidence" in a specific data field. If this information was missing, participants were contacted by mail or phone in order to confirm the 'zero incidence' reporting.
Participants used the available electronic datasheet or a paper form questionnaire which was optically read. At the end of each observation period, a reminder for data delivery was sent to the NHs.
The total number of new ILI cases per 1000 resident-days (incidence density) during the observation period. Missing resident-days per period were replaced by an estimated number of resident-days, based on the total NH bed capacity and an estimated bed occupancy rate of 98% corresponding with the average rate observed in other recent Belgian NH studies.
For each professional category:
the proportion of staff members absent for ILI (or complications);
the proportion of staff members vaccinated against A(H1N1)2009 and seasonal flu.
Data were processed using STATA version 9.
To assure confidentiality, the WIV-ISP provided a unique NH study number to each partici-pating facility. The local contact person allotted a unique resident study number to each ILI case. Resident names were not communicated to the WIV-ISP.
A total of 28 NHs delivered surveillance data. Three facilities were excluded since resident data were missing for some surveillance periods. Finally, 25 NHs representing 2,483 NH beds (mean: 99.3 beds/NH, range: 30-193) and 366,605 resident-days provided surveillance data covering the 10 observation periods.
Surveillance of ILI among NH residents
Total number of reported ILI cases and incidence density
A total of 47 residents developed an ILI episode during the surveillance period. The global ILI incidence density reached 0.13 ILI cases/1000 resident-days (Figure 1). The first case occurred on 2 November 2009, the last one on 16 February 2010. In 19 out of 25 participating NHs (76%), zero cases of ILI were registered. All 47 reported ILI cases occurred in 6 facilities (range: 1-30 cases/NH). Four of these facilities reported only one single ILI case occurring early in this ILI surveillance (between 3 November and 3 December: sporadic cases, Figure 1).
Characteristics of residents with ILI
Residents with ILI had a mean age of 85.6 years (range: 70-101). Comorbidity (risk factors) was present in 80.9% (n = 38) of all ILI cases and was often multiple since 23 out of 38 residents at risk (60.5%) cumulated 2 or more comorbid conditions. The main risk factors in descending order were moderate cardiac illness (n = 21), immunodeficiency (n = 16), chronic pulmonary disease (n = 13), moderate renal disease (n = 10), diabetes (n = 9) and chronic hepatic disease (n = 6).
Among the residents with ILI, 95.7% were vaccinated against seasonal flu and 87.2% against A(H1N1)2009. For 4 out of 6 residents not vaccinated against A(H1N1)2009, ILI appeared between 2 and 6 November, just before the official A(H1N1)2009 vaccination campaign started in Belgian NHs (7 November 2009).
Two residents with ILI were treated with an antiviral drug, while 35 residents (74.5%) received an antibiotic. Nine residents with ILI received another type of treatment (antipyretic, analgesic,...) and one received no treatment at all.
Characteristics of sporadic and epidemic cases of residents with influenza-like illness (ILI) November 2009-March 2010
Residents with ILI
Number of cases
Mean age (years)
Date of first/last ILI case
3 Nov/3 Dec
2 Nov/15 Feb
15 Nov/16 Feb
2 Nov/16 Feb
Risk factors (comorbidity)
No risk factor
2 or more
Treatment for ILI
Other only (antipyretic, analgesic,...)
Surveillance of ILI among NH staff
Data on absenteeism for ILI (or complication) and vaccination coverage for seasonal flu and A(H1N1)2009 among nursing home workers were available for 20 NHs.
Absenteeism for ILI
The global mean proportions of staff members absent for ILI during the 5 months of follow-up were not significantly different between professional categories and reached 4.5% among nursing staff (n = 45 cases from 10 NHs, 95%CI: 3.61-5.53), 5.3% in the paramedical staff (n = 6 cases from 1 NH, 95%CI: 4.28-6.40), 4.9% among the logistic staff (n = 18 cases from 6 NHs, 95%CI: 3.97-5.97) and 4.3% in administrative personnel (n = 7 cases from 2 NHs, 95%CI: 3.43-5.31). The highest attack rates for ILI among nurses, paramedical staff and administrative personnel were registered in epidemic NH-2 reaching 32%, 100% and 55% respectively.
Vaccination coverage for seasonal flu and A(H1N1)2009
Vaccination coverage for A(H1N1)2009 (n = 20 NHs) and seasonal flu (n = 19 NHs) by professional category during flu season 2009-2010
Staff vaccinated for seasonal flu
Staff vaccinated for A(H1N1)2009
The nursing staff, in closest contact with the frail elderly, had the lowest mean vaccination coverage for seasonal flu: 43.7% (95%CI: 40.85-46.69) while 48.5% (95%CI: 45.44-51.76) and 49% (95%CI: 45.97-52.16) of the paramedics and logistic staff members respectively were immunised. Vaccination coverage was the highest amongst administrative staff members (53.2%, 95%CI: 49.92-56.54).
For A(H1N1)2009 the vaccination coverage was even lower since only 38.8% (95%CI: 36.14-41.52) and 35.8% (95%CI: 33.2-38.5%) of the nurses and paramedical staff respectively were protected (n = 20 NHs). The administrative and logistic staff had the highest mean vaccination coverage: 52.2% (95%CI: 49.08-55.46) and 45.5% (42.54-48.50) respectively.
Surprisingly, in NHs which reported residents with ILI during the flu season, the vaccination coverage for A(H1N1)2009 amongst nurses was higher (44.8%, 95%CI: 17.13-72.55) compared to NHs without ILI cases among residents (36.3%, 95%CI: 20.76-51.87).
In NHs with ILI cases (n = 6 NHs) nurses were also more frequently (50.3%, 95%CI: 31.54-68.98) vaccinated for seasonal flu compared to nurses in NHs without cases (n = 14 NHs) (40.9%, 95%CI: 26.94-54.82). These differences were not statistically significant and confidence intervals were often large due to small numbers in some subcategories.
A zero ILI prevalence for 19 NHs,
Four NHs with only one ILI case during the flu season. These sporadic cases emerged early when some NH residents were not yet vaccinated for A(H1N1)2009,
Two facilities with an ILI epidemic (43 of 47 total ILI cases) with the highest peak at the end of January 2010. These epidemic cases emerged spread over a large period of time and extinguished mid February 2010.
Despite important vaccination rates for both influenza variants among cases, these residents developed an ILI episode anyway. Some of the early ILI cases, which occurred in vaccinated residents, could be explained by the short time span between vaccination and the onset of the ILI. Also, the 'antibody response' induced by vaccination among elderly is described to be lower (clinical vaccine efficacy: 17-53%) than among younger adults (clinical efficacy: 70-90%) .
Risk factors for the acquisition of ILI were frequently present and often multiple among residents. This may explain why 75% of the cases received an antibiotic treatment, which is not advisable for viral infections in the general population. In epidemic NH-2, the proportion of residents receiving antibiotics was even higher (83%). Another possible explanation for the important proportion of ILI cases receiving antibiotics could be the relatively high number of cases with a complications, especially in epidemic NH-1 reaching 84.6%.
In epidemic NH-2 the hospitalisation rate of cases with ILI was surprisingly high (63.3%) de-spite a relatively low number of complications (16.7%). In this same NH the mortality among ILI cases was important (16.7%), but according to the records only for one resident death was directly attributable to ILI. This very aged, immunocompromised resident was not vaccinated against A(H1N1)2009. A different vaccination strategy for NH residents in terminal or palliative care could be an explanation for this, but further investigation is needed.
In participating NHs, the vaccination coverage rate for seasonal flu and for A(H1N1)2009 among HCWs directly involved in resident care (nurses) was low: 38.8% and 43.7% on average. In scientific literature vaccination rates of less than 50% are mentioned .
The vaccination coverage for both variants was better among administrative staff members than among nurses.
During this flu season the mean proportion of HCW on sick leave for ILI was not significantly different between the professional categories, but varied strongly by NH. In epidemic NH-2, the total paramedical staff, half of the administrative personnel and one third of the nursing care staff was absent for ILI.
This surveillance provided interesting data, but the relatively small study sample (25 NHs) and the low incidence of ILI did not allow us to investigate in more detail the possible relationship between vaccination coverage among nurses and the incidence of ILI and associated complications and mortality among residents.
One of the difficulties in this surveillance was to convince NHs to send data while cases were scarce or absent. Another weakness was the absence of vaccination coverage data for both influenza variants in the total NH-population.
'Resident-days' as a denominator for calculation of the ILI incidence was often missing and replaced by an estimated number of resident-days assuming that the bed occupancy rate was comparable between institutions. Other data were also difficult to obtain: e.g. if vaccination of an HCW was carried out by the personal general practitioner, the institution did not record this. Finally, several participants were not able to provide data on absenteeism of HCW for ILI, since the reasons for sick leave of HCWs were confidential.
Strengths of this surveillance were the low associated workload, the 'easy-to-use' methodol-ogy.
This continuous ILI surveillance in NHs provides important data on the severity degree of ILI in the population with the highest risk in terms of morbidity and mortality, namely elderly living in collectivity in which vaccination is less effective due to immunosenescence. The results of this surveillance could lead to a more rational and specific management of ILI in these facilities.
The authors would like to express their gratitude to all nursing homes that kindly collected data for this surveillance.
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