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      Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients

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          Abstract

          Influenza vaccine is effective at preventing influenza in healthy young adults.[1] The strategy to encourage influenza vaccination for health care workers is partly based on the simple notion that this can reduce the risk of staff acquiring and transmitting influenza to vulnerable patients and thereby reduce associated morbidity and mortality. A number of investigators have attempted to demonstrate the impact of influenza vaccine in healthcare workers on patient outcomes.[2–5] They have used the most robust methodology available to them for assessing group interventions, namely the cluster randomized controlled trial. These trials have focused on long-term care facilities (LTCF) for the elderly. Such facilities house frail elderly patients for months or years in congregate settings. Outbreaks of respiratory tract infections in LTCF are extremely common. For example a surveillance study in Toronto identified 46 outbreaks across 5 homes in 3 years (more than three outbreaks per home per year with an average case fatality rate of 8%).[6] Despite high levels of resident vaccination, low vaccine efficacy in the elderly means that they remain vulnerable to influenza and its complications. Residents have very high rates of mortality and hospitalization especially during periods of influenza circulation. Even when residents have regular visitors, their main contact with the outside world is via healthcare staff. Long-term care facilities, therefore, provide an opportunity to demonstrate proof of the principle that healthcare worker influenza vaccination can prevent influenza and associated morbidity and mortality in their patients. Cluster randomized trials of staff vaccination in these settings have consistently shown benefit to residents (2–5) and this evidence has been used to support influenza vaccination of healthcare workers more generally. Since part of the rationale for vaccinating healthcare workers is patient protection some employers have chosen to make staff vaccination a condition of employment, which has led to legal challenge. De Serres and his co-authors present a number of arguments based on their assessment of the evidence as to why they think mandatory vaccination is not warranted.[7] In our study [4] we aimed to test the hypothesis that a campaign promoting influenza vaccination of staff would reduce influenza-related morbidity and mortality in elderly residents of long-term care facilities. The study was based in a national chain of LTCF providing 24 hour nursing care (i.e. the subset of LTCF catering for the most frail elderly). We hypothesized that the effect of the vaccine would be confined to periods when influenza was circulating and undertook the study over two years to minimize the risk of being unable to demonstrate an effect in a year with low levels of influenza circulation. The study took place over two winter seasons, the first of which had considerably higher levels of community influenza activity and influenza related deaths than the second. Although the first year has been reported as a vaccine mismatch year, meta-analyses show that vaccine effectiveness in healthy adults is not usually significantly lowered during mismatch years [1] [8], and a study of mismatched inactivated influenza vaccine in Canadian adults during this year showed a 62% relative risk reduction in laboratory confirmed influenza.[9] During the period of more intense influenza circulation we found highly statistically significant reductions in residents’ influenza like illness (9 fewer reports per 100 residents in intervention vs. control homes– 95% CI 3–14 p = 0.004), GP consultations for influenza like illness (7 fewer consultations per 100 residents 95% CI 2–12 p = 0.002), hospitalisations with influenza like illness (2 fewer hospitalisations per 100 residents -95% confidence intervals 0–3 p = 0.009) and all cause mortality (5 fewer deaths per 100 residents in intervention compared to control homes– 95% CI 2–7, p = 0.002). Although the findings were highly significant the confidence intervals indicate a wide range of uncertainty about the scale of the benefit. We found no significant decreases in any of our outcomes during periods when influenza was not circulating in the community or in the second year when influenza rates were substantially lower than the first. In our discussion, based on our own findings and those from other studies, we concluded that healthcare worker vaccination provides an important level of resident protection in long-term care facility settings. While we claimed that the findings may be generalizable to other settings we did not intend to imply that the extent of the benefit would be similar in other settings. Indeed we think the effect is likely to be substantially greater in long-term care facilities for frail elderly residents than in the acute care setting or in long term care facilities catering for less frail patients. De Serres assessment is based on four main points. First, De Serres et al assert that the cluster-randomized trials violate the principle of dilution whereby the greatest reductions should be observed in the most specific outcomes (e.g. greater relative reductions would be expected for laboratory confirmed influenza than for all cause mortality). Since the studies were not adequately powered to assess which outcomes had the greatest reductions and the confidence intervals for all outcomes overlap we do not agree that the studies individually or collectively violate this principle. For example in our study the reduction in influenza like illness was greater than the reduction in GP consultations for influenza like illness which was in turn greater than the reduction in hospitalisations with influenza like illness. The point estimate of the reductions in all cause mortality (5 fewer deaths per 100 residents) was greater than that for hospitalisations related to influenza like illness (2 fewer hospitalisations per 100 residents). According to De Serres et al this would violate the principal of dilution. However the confidence intervals for these measures overlap considerably (2–7 and 0–3 respectively) indicating that we do not know which measure had the greatest reduction. Secondly De Serres et al highlight that a high proportion of averted deaths were not labelled as deaths with influenza like illness. We do not think this makes our results less plausible firstly because many deaths will have occurred in hospital but were reported by nursing home staff so they will not have been able to assess whether they had influenza like illness at the time of death. Secondly influenza may trigger a chain of events leading to death but at the time of death such patients may no longer have an influenza like illness. Since our data were collected as aggregate total event numbers for each outcome we cannot tell how many of those who died had a recent influenza like illness. Thirdly the symptomatology of influenza may be very vague in the frail elderly with multiple co-morbidities, especially as they approach death. Finally, as discussed above, the statistical uncertainty around estimates of effect mean that whilst we can be confident that there was a highly significant reduction in all cause mortality we do not know whether this represents a greater reduction than that in influenza like illness deaths. We therefore reject De Serres et al’s assertion that these are paradoxical findings or that they should “reinforce concerns about the reliability and validity of the study’s conclusions.” Thirdly, De Serres et al highlight that in some trials protective effects were also observed outside the time period when national surveillance detected influenza activity. This was not the case for our study. We found no effect of the intervention for any of our outcomes outside the period of influenza circulation, strengthening the credibility of our results. However it should be noted that influenza surveillance only picks up the tip of the iceberg of influenza activity such that early community transmission may be missed.[10] Periods of circulation identified through national level surveillance often do not coincide with periods of circulation identified at local level.[11] Sporadic outbreaks of influenza have also been observed in LTCFs outside normal periods of influenza circulation.[12] Consequently the fact that other studies found some of the protective effects outside the period when national surveillance indicated circulation of influenza does not mean their results are implausible. Finally, De Serres et al’s main criticism is that if the numbers needed to vaccinate (NNV) to prevent one death in our study were extrapolated to all LTCF staff in the US the number of deaths averted would be considerably greater than the annual number of deaths estimated to be due to influenza in the US. Also, if extrapolated to all hospital health care workers in the US the predicted number of deaths averted would exceed the number of influenza deaths in the US during the 1918 pandemic. Whilst we proposed that the concept of staff vaccination protecting patients was generalizable to other settings we did not claim that the estimate of the NNV would be equivalent in other settings, indeed we think it self evident that this would not be the case. In making their extrapolations De Serres et al first appear to project the findings of our study to the whole of the US Long Term Care Sector. Our study took place in LTCFs for the elderly in homes that have 24 hour nursing care. As such they cater for the most vulnerable elderly patients with high levels of co-morbidity who are too ill to live at home or in communal establishments with less intense support. It is not appropriate to seek to generalize the NNV derived in this setting to the broader LTCF sector where residents are likely to be substantially less vulnerable to the effects of influenza and where they may have more contact with the outside world. It is also not appropriate to seek to generalize this NNV to the acute hospital setting where length of stay is short, patients are on average younger and patients have contact with many people other than health care workers. In addition, De Serres et al focus solely on results derived from the point estimate when assessing the credibility of the NNV figure whilst ignoring the 95% confidence intervals around this estimate (5.8–20.4), which indicate a high level of uncertainty about the scale of the effect size. De Serres et al also make the assumption that the NNV would not increase as vaccination rates increase (e.g. assuming that increasing staff vaccination from 50% to 100% would have the same impact as increasing vaccination rates from 0 to 50%). This is unlikely to be the case due to herd immunity effects. De Serres et al’s extrapolations to infer the impact of complete staff vaccination to settings that differ considerably from that of nursing homes for frail elderly should therefore not be used to undermine the validity of our findings in the nursing home sector. In England and Wales on the night of the 2011 census there were 389,102 individuals usually resident in long term medical and care establishments but only 123,137 were aged 65 years or over and living in long-term care facilities with 24 hour nursing care (i.e. the population covered in our trial). [13] In our study the staff:resident ratio was 1.27 suggesting there would be 157,211 nursing home staff in England and Wales—or if extrapolated to the whole of the United Kingdom, 176,933. Our study increased overall staff vaccination rates from 5% to 35% (although 48% of full time staff were vaccinated). This would equate to 53,080 additional vaccinations nationally. Given our estimates of NNV this suggests that achieving equivalent staff vaccination levels as those obtained in our study across similar homes in the UK in a year with a similar level of influenza activity would avert 6473 deaths (95% CI 2602–9152). A recent modelling exercise estimated that on average there are around 14,000 annual cardiorespiratory deaths in the UK attributable to influenza in those aged 65 years or older.[14] These deaths are further concentrated in those aged over 75 and those with comorbidities. High annual variation in influenza activity means these estimates have very high standard deviations such that plausible annual attributable mortality figures can be several times this level. We therefore do not think that the range of estimates we give for NNV is implausible. We do not think that this scale of benefit would be realistic outside the specific setting of Long Term Care Facilities for the elderly with 24 hour nursing cover. The cluster-randomised trials of staff vaccination in long term care facilities collectively provide strong evidence of the principle that staff vaccination can protect patients but further work would be needed to establish the potential scale of the benefit in different settings. De Serres et al attempt to “recalibrate” the NNV for the hospital sector. Using a wide range of assumptions they estimate that 6000 to 32,000 hospital workers would need to be vaccinated before a single patient death could potentially be averted. In assessing these estimates they use measures of the numbers of influenza related deaths reported in surveillance studies that are assumed to be hospital acquired and therefore potentially preventable by staff vaccination. It should be noted that without very rigorous application of swabbing and PCR testing of all those developing respiratory symptoms in hospital the number of hospital acquired cases and consequently the number of associated deaths is likely to be underestimated, and the NNV to be overestimated. In addition the numbers of potentially preventable deaths used were based on surveys in hospitals that already had staff vaccination programmes achieving staff vaccine uptake of 40–70%. The estimates therefore do not account for cases of influenza and associated deaths that may already have been prevented through this level of vaccination. Doubtless, the debate as to whether or not staff influenza vaccination should be a condition of employment will continue. If avoiding patient death was the sole aim of staff vaccination a reasonable economic case could be made for staff vaccination in hospital settings at the NNV estimated by De Serres (influenza vaccine costs less than $2 per dose). When factoring in the prevention of unnecessary illnesses in patients and staff, associated health service costs and the avoidance of staff sickness absence, the economic case is still more compelling. Economic arguments cannot, however, indicate a level of protection at which vaccination should be made a condition of employment. Regardless of such enforcement measures health care workers need to consider their professional duty to take reasonable actions to protect their patients from infection. De Serres et al argue that more broadly protective practices, such as staying home or masking when acutely ill could be alternative approaches to protection, but unlike staff vaccination the effectiveness of these measures has not been assessed. The fact that viral shedding precedes symptom onset by around 24–48 hours, that many people with laboratory-confirmed influenza have mild symptoms that may be hard to distinguish from the common cold and that many infections are asymptomatic would minimise the effectiveness of such measures.[10,15,16] Avoiding influenza through vaccination is an important approach for healthcare workers to take to avoid unnecessarily passing infection on to their vulnerable patients.

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          Most cited references13

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          Comparing influenza vaccine efficacy against mismatched and matched strains: a systematic review and meta-analysis

          Background Influenza vaccines are most effective when the antigens in the vaccine match those of circulating strains. However, antigens contained in the vaccines do not always match circulating strains. In the present work we aimed to examine the vaccine efficacy (VE) afforded by influenza vaccines when they are not well matched to circulating strains. Methods We identified randomized clinical trials (RCTs) through MEDLINE, EMBASE, the Cochrane Library, and references of included RCTs. RCTs reporting laboratory-confirmed influenza among healthy participants vaccinated with antigens of matching and non-matching influenza strains were included. Two independent reviewers screened citations/full-text articles, abstracted data, and appraised risk of bias. Conflicts were resolved by discussion. A random effects meta-analysis was conducted. VE was calculated using the following formula: (1 - relative risk × 100%). Results We included 34 RCTs, providing data on 47 influenza seasons and 94,821 participants. The live-attenuated influenza vaccine (LAIV) showed significant protection against mismatched (six RCTs, VE 54%, 95% confidence interval (CI) 28% to 71%) and matched (seven RCTs, VE 83%, 95% CI 75% to 88%) influenza strains among children aged 6 to 36 months. Differences were observed between the point estimates for mismatched influenza A (five RCTs, VE 75%, 95% CI 41% to 90%) and mismatched influenza B (five RCTs, VE 42%, 95% CI 22% to 56%) estimates among children aged 6 to 36 months. The trivalent inactivated vaccine (TIV) also afforded significant protection against mismatched (nine RCTs, VE 52%, 95% CI 37% to 63%) and matched (eight RCTs, VE 65%, 95% CI 54% to 73%) influenza strains among adults. Numerical differences were observed between the point estimates for mismatched influenza A (five RCTs, VE 64%, 95% CI 23% to 82%) and mismatched influenza B (eight RCTs, VE 52%, 95% CI 19% to 72%) estimates among adults. Statistical heterogeneity was low (I2 <50%) across all meta-analyses, except for the LAIV meta-analyses among children (I2 = 79%). Conclusions The TIV and LAIV vaccines can provide cross protection against non-matching circulating strains. The point estimates for VE were different for matching versus non-matching strains, with overlapping CIs.
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            Effects of influenza vaccination of health-care workers on mortality of elderly people in long-term care: a randomised controlled trial.

            Vaccination of health-care workers has been claimed to prevent nosocomial influenza infection of elderly patients in long-term care. Data are, however, limited on this strategy. We aimed to find out whether vaccination of health-care workers lowers mortality and the frequency of virologically proven influenza in such patients. In a parallel-group study, health-care workers in 20 long-term elderly-care hospitals (range 44-105 patients) were randomly offered or not offered influenza vaccine (cluster randomisation, stratified for policy for vaccination of patients and hospital size). All deaths among patients were recorded over 6 months in the winter of 1996-97. We selected a random sample of 50% of patients for virological surveillance for influenza, with combined nasal and throat swabs taken every 2 weeks during the epidemic period. Swabs were tested by tissue culture and PCR for influenza viruses A and B. Influenza vaccine uptake in health-care workers was 50.9% in hospitals in which they were routinely offered vaccine, compared with 4.9% in those in which they were not. The uncorrected rate of mortality in patients was 102 (13.6%) of 749 in vaccine hospitals compared with 154 (22.4%) of 688 in no-vaccine hospitals (odds ratio 0.58 [95% CI 0.40-0.84], p=0.014). The two groups did not differ for proportions of patients positive for influenza infection (5.4% and 6.7%, respectively); at necropsy, PCR was positive in none of 17 patients from vaccine hospitals and six (20%) of 30 from no-vaccine hospitals (p=0.055). Vaccination of health-care workers was associated with a substantial decrease in mortality among patients. However, virological surveillance showed no associated decrease in non-fatal influenza infection in patients.
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              Influenza Vaccination of Health Care Workers in Long-Term-Care Hospitals Reduces the Mortality of Elderly Patients

              Abstract Vaccination of health care workers (HCWs) is recommended as a strategy for preventing influenza in elderly patients in long-term care. However, there have been no controlled studies to show whether this approach is effective. During the winter of 1994–1995, 1059 patients in 12 geriatric medical long-term-care sites, randomized for vac.cination of HCWs, were studied. In hospitals where HCWs were offered vaccination, 653 (61%) of 1078 were vaccinated. Vaccination of HCWs was associated with reductions in total patient mortality from 17% to 10% (odds ratio [OR], 0.56; 95% confidence interval [CI], 0.40–0.80) and in influenza-like illness (OR, 0.57; 95% CI, 0.34–0.94). Vaccination of patients was not associated with significant effects on mortality (OR, 1.15; 95% CI, 0.81–1.64). Results of this study support recommendations for vaccination against influenza of HCWs in long-term geriatric care. Vaccination of frail elderly long-term-care patients may not give clinically worthwhile benefits.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 January 2017
                2017
                : 12
                : 1
                : e0169023
                Affiliations
                [001]Institute of Epidemiology and Health Care, University College London, London, England
                University of Chieti, ITALY
                Author notes

                Competing Interests: I am lead author and Chief investigator of one of the disputed papers. I have served on the Joint Committee for Vaccination and Immunisation Influenza subgroup in England. I serve on the Department of Health New and Emerging Respiratory Virus Threats Advisory Group. I am a member of a National Institute of Health and Clinical Excellence guideline development groups reviewing the evidence on interventions to increase uptake of influenza vaccination in health care workers. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                • Conceptualization: ACH.

                • Data curation: ACH.

                • Formal analysis: ACH.

                • Funding acquisition: ACH.

                • Investigation: ACH.

                • Methodology: ACH.

                • Project administration: ACH.

                • Writing – original draft: ACH.

                • Writing – review & editing: ACH.

                Author information
                http://orcid.org/0000-0002-3549-6232
                Article
                PONE-D-16-40737
                10.1371/journal.pone.0169023
                5271312
                28129326
                cc6e4f6a-71c0-4bb9-9bea-87514c89b134
                © 2017 Andrew C. Hayward

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 October 2016
                : 8 December 2016
                Page count
                Figures: 0, Tables: 0, Pages: 5
                Funding
                The study discussed was funded by the Department of Health Policy Research Programme. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Medicine and Health Sciences
                Infectious Diseases
                Viral Diseases
                Influenza
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                Immunology
                Vaccination and Immunization
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                Immunology
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                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                Medicine and Health Sciences
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                Long-Term Care
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                Geriatrics
                People and Places
                Population Groupings
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                Biology and Life Sciences
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                Vaccines
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                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                Vaccines
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                Geriatrics
                Frailty
                Medicine and Health Sciences
                Epidemiology
                Disease Surveillance
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                Infectious Diseases
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