scholarly journals Evaluation of a pilot project to increase influenza vaccine coverage in patient with chronic diseases

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Pinsonneault ◽  
K Demers ◽  
P Dagenais ◽  
G Baron
Keyword(s):  
Influenza Vaccine ◽  
Chronic Diseases ◽  
Vaccine Coverage ◽  
Pilot Project ◽  
Immunosuppressive Drugs ◽  
Vaccination Rate ◽  
Lessons Learned ◽  
Patient Questionnaire ◽  
Vaccination Rates ◽  
Patient Questionnaires

Abstract Background Chronic diseases are a major risk factor for influenza morbidity and mortality. However, influenza vaccine coverage in people with chronic diseases remains low, around 43%, in Quebec, Canada. Various strategies are being tested to improve the vaccination rates for this population. A pilot project was implemented in a rheumatology outpatient clinic during the 2018-19 season to improve vaccination access in this often-immunosuppressed group of patients. All patients having an appointment at the clinic during the vaccination period were systematically invited to see the nurse and offered vaccination if they met the program criteria, namely if they were taking immunosuppressive drugs. Methods Implementation and results of the project were evaluated using mixed methods. Data on vaccination were collected from the nurses' forms and from a patient self-administered questionnaire. Data on implementation was collected through the patient questionnaire and semi-directed interviews with the clinic physicians, the clinic nurse and managers. Results A total of 1135 patients were evaluated by the nurses during the project and 427 completed the patient questionnaire. Total vaccination rate amongst patients seen by the nurses was 63%. Based on patient questionnaires results, vaccination was increased by 46%, as compared to the previous year (52% in 2017-18 vs 76% in 2018-19). The project was well received. Key elements of its success were integration in regular clinic activities, support for the initiative by patients and professionals and some logistic aspects such as preloaded syringes. Barriers were mostly related to excess workload and vaccine management. Conclusions Overall, the project improved vaccination coverage and was considered a success. Lessons learned were used to adjust and spread this initiative to more outpatient clinics using personnel dedicated for vaccination rather than using the clinic nurse. A phase II project was done and evaluated in 2019-2020. Key messages Increasing timely access to vaccination helps to increase influenza vaccine coverage. Managers should plan for the increased workload on clinical and clerical personnel when implementing systematic vaccination offer.

scholarly journals The influence of a community intervention on influenza vaccination knowledge and behavior among diabetic patients

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Lili Tao ◽  
Ming Lu ◽  
Xiaoning Wang ◽  
Xiaoyan Han ◽  
Shuming Li ◽  
...  
Keyword(s):  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Community Intervention ◽  
Vaccination Rate ◽  
Control Group ◽  
Diabetic Patients ◽  
Vaccination Rates ◽  
Significant Difference ◽  
The Impact ◽  
Experimental Group

Abstract Background This study was conducted to evaluate the impact of a comprehensive community intervention on cognition and inoculation behaviors of diabetic patients immunized with influenza vaccine. Methods A total of 1538 diabetic patients aged 35 years and above for outpatient visits and follow-up treatments were selected from six community health service centers (three for the experimental group, and the other three for the control group) in Chaoyang District, Beijing. Comprehensive interventions applied to the experimental group include patient intervention and community climate interventions. We compared the total awareness of influenza vaccine knowledge and influenza vaccination rates between the two groups before and after the intervention. Results Before the intervention, the total awareness rate of influenza vaccine in the experimental group and the control group was similar (50.6 and 50.2%, respectively. P = 0.171). After the intervention, the awareness rate of influenza vaccine in the experimental group and the control group increased. The amplitude of the increase was similar (70.3 and 70.1%, respectively. P = 0.822,). Before the intervention, there was no significant difference in the influenza vaccination rate between the experimental group and the control group (29.0 and 26.8%, respectively. P = 0.334). After the intervention, the vaccination rate of the experimental group was higher than that of the control group. The difference was statistically significant (The vaccination rate 45.8 and 27.4% for the experimental group and the control group, respectively. P < 0.001). Conclusion Comprehensive community interventions had a positive effect on vaccination in diabetic patients. Trial registration ChiCTR1900025194, registered in Aug,16th, 2019. Retrospectively registered.

scholarly journals Promotion of the influenza vaccination to hospital staff during pre-employment health check: a prospective, randomised, controlled trial

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Michael Currat ◽  
Catherine Lazor-Blanchet ◽  
Giorgio Zanetti
Keyword(s):  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Healthcare Workers ◽  
Vaccination Campaign ◽  
Intervention Group ◽  
Vaccination Rate ◽  
Health Check ◽  
Control Group ◽  
Vaccination Rates ◽  
Newly Hired

Abstract Background Vaccination is the most effective prevention of seasonal influenza. Despite its recommendation and active promotion, vaccination coverage remains low among healthcare staff. The goal of the study was to test if a pre-employment health check is a good opportunity to promote future vaccination against influenza among healthcare workers newly hired by a university hospital. Methods All new hospital employees active at the bedside who underwent a pre-employment health check between the end of 2016’s influenza epidemic and the start of the next influenza vaccination campaign were randomly allocated to a control group or an intervention group. The intervention consisted of a semi-structured dialog and the release of an information leaflet about influenza and influenza vaccination during the check-up, and the shipment of a postcard reminder 2 weeks before the next vaccination campaign. Vaccination rates during the campaign were compared among the two groups. Results Three hundred fifty-seven employees were included. Vaccination rates were similar in both groups: 79/172 (46%) in the control and 92/185 (50%) in the intervention group. A significantly higher rate of vaccination was noted among physicians (70/117, 60%) than among other employees (101/240, 42%, p = 0.001). In a pre-defined exploratory analysis among physicians, the vaccination rate was higher in the intervention group (36/51, 71%) than in the control group (34/65, 52%, p = 0.046). Conclusions Promotion of the influenza vaccine during pre-employment health check did not improve the vaccination rate of newly hired hospital healthcare workers overall during the next influenza vaccination campaign. Results suggest a favourable impact on the vaccination rate of physicians. Thus, there may be an interest in using communication strategies tailored to the different categories of healthcare workers to promote the influenza vaccine during pre-employment health check. Trial registration ClinicalTrials, NCT02758145. Registered 26 April 2016.

scholarly journals Comparison between cohorts vaccinated and unvaccinated against influenza and pneumococcal infection

2002 ◽  
Vol 129 (3) ◽  
pp. 515-524 ◽  
Author(s):  
B. CHRISTENSON ◽  
P. LUNDBERGH
Keyword(s):  
Influenza Vaccination ◽  
Chronic Diseases ◽  
Demographic Data ◽  
Pneumococcal Infection ◽  
Pneumococcal Vaccination ◽  
Vaccination Rate ◽  
Elderly Persons ◽  
Vaccination Rates ◽  
Myocardial Disease ◽  
Chronic Lung Diseases

This study characterizes possible confounders that might make cohorts vaccinated and unvaccinated against influenza and pneumococcal infection different at baseline, with the hypothesis that the two cohorts are comparable. The similarity between health and demographic data was analysed by a randomized, multivariant study addressed to 10 000 persons aged 65 years and older in Stockholm County and was carried out in the form of a postal inquiry during the period December 2000 to May 2001. The study-population response rate was 78%. Of these, 66% (5120 persons) had been given at least one influenza vaccination during the 3-year study period (1998–2000), 50% (3780) had received one pneumococcal vaccination and 78% had received both vaccines during the period. The vaccination rate was lower in the age group 65–69 years (60%), compared with elderly cohorts aged over 70 years (67–72%, P<0·001). Elderly persons living in nursing homes or institutions had higher vaccination rates than persons living in their own households (72 vs. 67%). Persons with underlying chronic diseases had higher vaccination rates (71%, P<0·001) than those without underlying chronic diseases. Vaccine recipients had fewer days in hospital, compared with non-recipients. Unvaccinated persons with myocardial disease had nine times more days in hospital than vaccinated persons with myocardial disease. Vaccination against pneumococcal infection had an additional effect with influenza vaccination in reducing hospitalization for chronic lung diseases; influenza vaccination alone did not have this effect. In conclusion, the influenza and pneumococcal-vaccine recipients were older and had significantly more chronic lung and heart conditions than the unvaccinated cohort.

Impact of Severe Acute Respiratory Syndrome and the Perceived Avian Influenza Epidemic on the Increased Rate of Influenza Vaccination Among Nurses in Hong Kong

2008 ◽  
Vol 29 (3) ◽  
pp. 256-261 ◽  
Author(s):  
Dennise K. P. Tam ◽  
Shui-Shan Lee ◽  
Sing Lee
Keyword(s):  
Hong Kong ◽  
Avian Influenza ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Influenza Infection ◽  
Vaccination Rate ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Major Barrier ◽  
Vaccination Rates

Objective.To determine the rate of influenza vaccination and the factors associated with the vaccination's acceptance among nurses in Hong Kong.Design.Cross-sectional survey.Participants.Nurses practicing between 2003 and 2007.Methods.A questionnaire was sent to all nurses registered with any of the 3 nursing associations that participated in this study.Results.A total of 941 completed questionnaires were available for analysis, though not all nurses responded to every question (response rate, 33.5%-36.3%). Vaccination rates in 2006 and 2007 were 57.2% and 46.2%, respectively. Nurses who were vaccinated in 2006 were more likely to get vaccinated in 2007 (P<.01); 56% of the nurses perceived influenza vaccine as being effective against influenza. The perceived effectiveness of influenza vaccine was a consistent predictor of rates of vaccination in 2006 (odds ratio [OR], 8.47 [95% confidence interval {CI}, 6.13-11.70];P<.01) and 2007 (OR, 6.05 [95% CI, 3.79-9.67];P<.01). Concern about contracting avian influenza was a predictor of the vaccination rate in 2006 but not in 2007 (OR, 1.47 [95% CI, 1.03-2.09];P<.05), as was the perceived lack of control over avian influenza infection (OR, 1.52 [95% CI, 1.06-2.18];P<.05).Conclusions.The overall influenza vaccination rate for nurses in Hong Kong was about 50%. It was affected by the perceived threat of an impending outbreak. The attitudes of nurses toward the effectiveness of and rationale for vaccination were a major barrier to increasing the rate of vaccination.

scholarly journals How Large Fraction of A Population Must be Vaccinated before A Disease is Controlled?

2022 ◽  
Author(s):  
Robin Halamicek ◽  
Dirk W Schubert ◽  
Fritjof Nilsson
Keyword(s):  
Vaccine Coverage ◽  
Large Fraction ◽  
Vaccine Dose ◽  
Vaccination Rate ◽  
Basic Reproduction Ratio ◽  
Mathematical Equation ◽  
Reproduction Ratio ◽  
Vaccination Rates ◽  
Crucial Question ◽  
Modelling Study

Abstract The ongoing Covid-19 pandemic has already caused more than 5 million casualties despite hard restrictions and relatively high vaccine coverage in many countries. The crucial question is therefore, how large vaccination rate and how severe restrictions are required to terminate the spread of the decease, assuming that the vaccine efficiency and the basic reproduction ratio (R0) are known? To answer this question, a mathematical equation was applied to visualize the required vaccination level as function of vaccine efficiency, restriction efficiency and basic reproduction ratio (R0). In addition to the modelling study, Covid-19 data from Europe was collected during 19/11-26/11 (2021) to assess the relation between vaccination rate and incidence. The analysis indicates that a vaccination rate of ~92% (2 doses) is required to stop Delta (B.1.617.2) without severe restrictions, under conditions like those in Europe late November 2021. A third vaccine dose, improved vaccines, higher vaccination rates and/or stronger restrictions will be required to force Omicron (B.1.1.529) to expire without infecting a large fraction of the population.

Use of, Effectiveness of, and Attitudes Regarding Influenza Vaccine Among House Staff

2003 ◽  
Vol 24 (11) ◽  
pp. 839-844 ◽  
Author(s):  
Richard T. Lester ◽  
Allison McGeer ◽  
George Tomlinson ◽  
Allan S. Detsky
Keyword(s):  
Influenza Vaccine ◽  
Vaccination Rate ◽  
House Staff ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Vaccination Rates ◽  
University Of Toronto ◽  
Patients At Risk ◽  
The University ◽  
Self Protection

AbstractObjective:To determine influenza vaccination rates, vaccine effectiveness, and factors influencing vaccination decisions among house staff.Design:Cross-sectional survey.Setting and Participants:All residents registered at the University of Toronto were surveyed after the 1999-2000 influenza season. Of the 1,159 questionnaires mailed, 670 (58%) could be evaluated.Results:Influenza-like illnesses were reported by 36% of house staff. The vaccination rate was 51% among respondents, being highest for community and occupational medicine and pediatric staff (77% and 75%) and lowest for psychiatry, surgery, and radiology staff (32%, 36%, and 36%). Vaccinees reported significantly fewer episodes of illness (42 vs 54 per 100 subjects; P = .03) and fewer days of illness (272 vs 374 per 100 subjects; P = .02); absenteeism was not different (63 vs 69 per 100 subjects; P = .69). Self-protection was the most common reason for vaccination. Vaccinees believed the vaccine was more effective than did non-vaccinees (P < .01). Non-vaccinees considered influenza-like symptoms the most important side effect of the vaccine. Busy schedules and inconvenience were the most common reasons for not getting vaccinated. Overall, 44% of house staff believed the influenza vaccine should be mandatory.Conclusions:Influenza-like illness was common among house staff. They tended to work through their illnesses, potentially putting patients at risk. They were motivated mostly by self-protection and did report a benefit. Despite busy schedules and an unfounded fear of getting influenza symptoms from the vaccine, many thought the vaccine should be mandatory.

scholarly journals 1402. Smart Technology and Education for Smart Protection against the Flu: Impact of a Multifaceted Quality Improvement (QI) Intervention on Influenza Vaccination Rates in Children

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S709-S709
Author(s):  
Ashlesha Kaushik ◽  
Kristen Beal ◽  
Sandeep Gupta ◽  
Richard Malley
Keyword(s):  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Tertiary Care ◽  
Vaccination Rate ◽  
Urgent Care ◽  
Outpatient Clinics ◽  
Intervention Period ◽  
Health Maintenance ◽  
Vaccination Rates ◽  
Influenza Immunization

Abstract Background Low pediatric influenza vaccination rates are a public health challenge. It is imperative that innovative measures to promote influenza immunization are studied. Methods Aim: To study impact of a multifaceted QI intervention on influenza vaccination rates in children evaluated at outpatient clinics, urgent care (UC) and emergency departments (ED) at UnityPoint Health tertiary care centers (UPH) across Northwestern (NW) and Northcentral (NC) Iowa (IA). Patients aged 6 months-18 years evaluated at UPH in NW and NC IA (encompassing 5 outpatient clinics, 2 UC, 2 ED) were included. A multifaceted QI intervention was implemented on 9/1/2018 consisting of all of the following concomitantly: 1. Patient/family education: Posters about flu vaccination displayed at entrance, in waiting rooms and patient rooms throughout the clinics, UC, ED as well as patient/family handouts emphasizing importance of influenza immunization. 2. Information Technology: “Health maintenance” reminder in outpatient electronic medical record (EMR- EPIC) that appears as soon as a patient’s chart is accessed to remind nurses/providers that influenza vaccine is due. 3. Provider Education flyers at study sites about debunking flu myths. We compared pre-intervention period (P1, 09/01/2017– 05/31/2018) with intervention period (P2, 09/01/2018 – 05/31/2019) for influenza vaccination rates. Results A total of 10050 and 9889 patients were evaluated during P1 and P2 respectively. Influenza vaccination rate increased significantly from 56.1% (5642) in P1 to 73.3% (7252) in P2 (p&lt; 0.0001). Patients were 1.43 times more likely to get vaccinated during P2 than P1 (95% CI= 1.32-1.46). Regionally during P2, influenza vaccination rate was higher than the national (62.6%; p&lt; 0.0001) and Iowa state averages (65.8%; p&lt; 0.0001) respectively. Proportion of children aged &lt; 9 years receiving second dose of influenza vaccine increased from 43% to 69% (p&lt; 0.001). Influenza vaccination rates among children aged 6-36 months increased significantly [40% (1078/2671) in P1 to 47.2% (1287/2723) in P2; p&lt; 0.01]. Conclusion With the combined educational and technologic intervention, pediatric influenza vaccination rates increased significantly across NW and NC IA, including proportion of patients receiving second dose of the vaccine. Disclosures Richard Malley, MD, Merck (Consultant)

scholarly journals An Extended Susceptible-Exposed-Infected-Recovered (SEIR) Model with Vaccination for Forecasting the COVID-19 Pandemic in Sri Lanka

2021 ◽  
Author(s):  
R.M. Nayani Umesha Rajapaksha ◽  
Millawage Supun Dilara Wijesinghe ◽  
Sujith P. Jayasooriya ◽  
B. M. Indika Gunawardana ◽  
W. M. Prasad Chathuranga Weerasinghe
Keyword(s):  
Sri Lanka ◽  
Compartmental Model ◽  
Vaccine Coverage ◽  
Health Planning ◽  
Local Population ◽  
Vaccination Rate ◽  
Vaccination Rates ◽  
Infected Population ◽  
Potential Vaccine

The role of modelling in predicting the spread of an epidemic is important for health planning and policies. This study aims to apply a compartmental model for predicting the variations of epidemiological parameters in Sri Lanka. We used a dynamic Susceptible-Exposed-Infected-Recovered-Vaccinated (SEIRV) model, and simulated for potential vaccine strategies under a range of epidemic conditions. The predictions were based on different vaccination coverages (5% to 90%), vaccination-rates (1%, 2%, 5%) and vaccine-efficacies (40%, 60%, 80%) under different R0 (2,4,6). We observed how the above dynamics influenced the SEIRV model without COVID-19 vaccination at different R0 values, and estimated the duration, exposed and infected populations. When the R0 was increased, the days of reduction of susceptibility and the days to reach the peak of the infection were reduced gradually. At least 45% vaccine coverage is required for reducing the infected population as early as possible. The results revealed that when R0 is increased in the SEIRV model along with the increase of vaccination efficacy and vaccination rate, the population to be vaccinated is reducing. Thus, the vaccination offers greater benefits to the local population by reducing the time to reach the peak, exposed and infected population through flattening the curves.

Correlation Between Healthcare Workers' Knowledge of Influenza Vaccine and Vaccine Receipt

2003 ◽  
Vol 24 (11) ◽  
pp. 845-847 ◽  
Author(s):  
Richard A. Martinello ◽  
Laura Jones ◽  
Jeffrey E. Topal
Keyword(s):  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Nursing Staff ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Vaccination Rate ◽  
Basic Knowledge ◽  
Cross Sectional ◽  
Vaccination Rates ◽  
Significant Difference

AbstractObjective:Influenza vaccine receipt by healthcare workers (HCWs) is important because HCWs are at risk for occupational exposure to influenza and may act as vectors in the nosocomial transmission of influenza. HCWs were surveyed to determine whether belief in commonly held influenza vaccine misconceptions was associated with influenza vaccine acceptance.Design:Cross-sectional study.Setting:A large urban teaching hospital.Method:A self-administered survey was used to assess nursing and physician staff influenza vaccine knowledge, current vaccination status, and potential reasons for vaccine declination.Results:Two hundred twelve of 215 surveys were completed. The overall influenza vaccination rate was 73%. Physician staff were significantly more likely to have been vaccinated compared with nursing staff (82% vs 62%, respectively; P = .0009). HCWs answering the 5 influenza vaccine basic knowledge questions correctly were significantly more likely to have been vaccinated than those responding incorrectly to any question (84% vs 64%, respectively; P = .002). This association was present in the nursing group where 80% of those answering the knowledge questions correctly were vaccinated, but only 49% of those answering incorrectly were vaccinated (P = .000005). However, in the physician group, there was no significant difference in the influenza vaccination rates between those answering correctly and those answering incorrectly (P = .459).Conclusion:Belief in commonly held influenza vaccine misconceptions was significantly associated with influenza vaccine declination among nursing staff and may act as a barrier to greater rates of influenza vaccination. Reasons for influenza vaccine nonreceipt may differ between nursing and physician staff.

scholarly journals How Large Fraction of A Population Must be Vaccinated before A Disease is Controlled?

2022 ◽  
Author(s):  
Robin Halamicek ◽  
Dirk W Schubert ◽  
Fritjof Nilsson
Keyword(s):  
Vaccine Coverage ◽  
Large Fraction ◽  
Vaccine Dose ◽  
Vaccination Rate ◽  
Basic Reproduction Ratio ◽  
Mathematical Equation ◽  
Reproduction Ratio ◽  
Vaccination Rates ◽  
Crucial Question ◽  
Europe Today

Abstract The ongoing Covid-19 pandemic has already caused more than 5 million casualties despite hard restrictions and relatively high vaccine coverage in many countries. The crucial question is therefore, how large vaccination rate and how severe restrictions are required to terminate the spread of the decease, assuming that the vaccine efficiency and the basic reproduction ratio (R0) are known? To answer this question, a simple mathematical equation was developed to visualize the required vaccination level as function of vaccine efficiency, restriction efficiency and basic reproduction ratio (R0). In addition to the modelling study, Covid-19 data from Europe was collected during 19/11-26/11 (2021) to assess the relation between vaccination rate and incidence. The analysis indicates that a vaccination rate of ~92% (2 doses) is currently required to stop Delta (B.1.617.2) without severe restrictions, using the vaccines that are most common in Europe today. A third vaccine dose, improved vaccines, higher vaccination rates and/or stronger restrictions will be required to force Omicron (B.1.1.529) to expire without infecting a large fraction of the population.

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