Dataset Information

Survey of Adult Influenza Vaccination Practices and Perspectives Among US Primary Care Providers (2016-2017 Influenza Season).

ABSTRACT: BACKGROUND:Seasonal influenza vaccination is recommended for all adults; however, little is known about how primary care physicians can communicate effectively with patients about influenza vaccination. OBJECTIVE:To assess among general internal medicine (GIM) and family physicians (FP) regarding adult influenza vaccination: (1) recommendation and administration practices, (2) barriers to discussing and perceived reasons for patient refusal, and (3) factors associated with physician self-efficacy in convincing patients to be vaccinated. DESIGN:Email and mail survey conducted in February-March 2017 PARTICIPANTS: Nationally representative sample of GIM and FP MAIN MEASURES: Factor analysis was used to group similar items for multivariable analysis of barriers and strategies associated with high physician self-efficacy about convincing patients to be vaccinated (defined as disagreeing that they could do nothing to change resistant patients' minds). KEY RESULTS:Response rate was 67% (620/930). Ninety-eight percent always/almost always recommended influenza vaccine to adults ??65 years, 90% for adults 50-64 years, and 75% for adults 19-49 years. Standing orders (76%) and electronic alerts (64%) were the most commonly used practice-based immunization strategies. Frequently reported barriers to discussing vaccination were other health issues taking precedence (41%), time (29%), and feeling they were unlikely to change patients' minds (24%). Fifty-eight percent of physicians reported high self-efficacy about convincing patients to be vaccinated; these providers reported fewer patient belief barriers contributing to vaccine refusal (RR?=?0.93 per item; 95% CI (0.89-0.98); Cronbach's ??=?0.70), were more likely to report using both fact- (1.08/item; (1.03-1.14); 0.66) and personal experience-based (1.07/item; (1.003-1.15); 0.65) communication strategies, and were more likely to work in practices using patient reminders for influenza vaccine (1.32; (1.16-1.50)). CONCLUSIONS:Physicians identified barriers to successfully communicating about adult influenza vaccination but few effective strategies to counter them. Interventions to promote self-efficacy in communication and under-utilized practice-based immunization strategies are needed.

SUBMITTER: Cataldi JR

PROVIDER: S-EPMC6816593 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Survey of Adult Influenza Vaccination Practices and Perspectives Among US Primary Care Providers (2016-2017 Influenza Season).

Cataldi Jessica R JR O'Leary Sean T ST Lindley Megan C MC Hurley Laura P LP Allison Mandy A MA Brtnikova Michaela M Beaty Brenda L BL Crane Lori A LA Kempe Allison A

Journal of general internal medicine 20190719 10

<h4>Background</h4>Seasonal influenza vaccination is recommended for all adults; however, little is known about how primary care physicians can communicate effectively with patients about influenza vaccination.<h4>Objective</h4>To assess among general internal medicine (GIM) and family physicians (FP) regarding adult influenza vaccination: (1) recommendation and administration practices, (2) barriers to discussing and perceived reasons for patient refusal, and (3) factors associated with physici ...[more]

PMID: 31325130

Similar Datasets

Project description:BackgroundThe Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season.MethodsA RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls.ResultsAmong 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women.ConclusionsVaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.

Project description:INTRODUCTION:Influenza is a major cause of morbidity and mortality among adults. The most effective strategy for preventing influenza is annual vaccination. However, vaccination coverage has been suboptimal among adult populations. The purpose of this study is to assess trends in influenza vaccination among adult populations. METHODS:Data from the 2010-2016 National Health Interview Survey were analyzed in 2018 to estimate vaccination coverage during the 2010-2011 through 2015-2016 seasons. Trends of vaccination in recent years were assessed. Vaccination coverage by race/ethnicity within each group was examined. Multivariable logistic regression and predictive marginal models were conducted to identify factors associated with vaccination, and interactions between race/ethnicity and other demographic and access-to-care characteristics were assessed. RESULTS:Vaccination coverage among adults aged ?18 years increased from 38.3% in the 2010-2011 season to 43.4% in the 2015-2016 season, with an average increase of 1.3 percentage points annually. From the 2010-2011 through 2015-2016 seasons, coverage was stable for adults aged ?65 years and changed by -0.1 to 9.9 percentage points for all other examined subgroups. Coverage in 2015-2016 was 70.4% for adults aged ?65 years, 46.4% for those aged 50-64 years, and 32.3% for those aged 18-49 years; 47.9% for people aged 18-64 years with high-risk conditions; 64.8% for healthcare personnel; and 50.3% for pregnant women. Among adults aged ?18 years for the 2015-2016 season, coverage was significantly lower among non-Hispanic blacks and Hispanics compared with non-Hispanic whites. CONCLUSIONS:Overall, influenza vaccination coverage among adults aged ?18 years increased during 2010-2016, but it remained below the national target of 70%. Vaccination coverage varied by age, risk status, race/ethnicity, healthcare personnel, and pregnancy status. Targeted efforts are needed to improve coverage and reduce disparities.

Project description:Seasonal influenza epidemics are associated with high mortality and morbidity in the human population. Influenza surveillance is critical for providing information to national influenza programmes and for making vaccine composition predictions. Vaccination prevents viral infections, but rapid influenza evolution results in emerging mutants that differ antigenically from vaccine strains. Current influenza surveillance relies on Sanger sequencing of the haemagglutinin (HA) gene. Its classification according to World Health Organization (WHO) and European Centre for Disease Prevention and Control (ECDC) guidelines is based on combining certain genotypic amino acid mutations and phylogenetic analysis. Next-generation sequencing technologies enable a shift to whole-genome sequencing (WGS) for influenza surveillance, but this requires laboratory workflow adaptations and advanced bioinformatics workflows. In this study, 253 influenza A(H3N2) positive clinical specimens from the 2016-2017 Belgian season underwent WGS using the Illumina MiSeq system. HA-based classification according to WHO/ECDC guidelines did not allow classification of all samples. A new approach, considering the whole genome, was investigated based on using powerful phylogenomic tools including beast and Nextstrain, which substantially improved phylogenetic classification. Moreover, Bayesian inference via beast facilitated reassortment detection by both manual inspection and computational methods, detecting intra-subtype reassortants at an estimated rate of 15 %. Real-time analysis (i.e. as an outbreak is ongoing) via Nextstrain allowed positioning of the Belgian isolates into the globally circulating context. Finally, integration of patient data with phylogenetic groups and reassortment status allowed detection of several associations that would have been missed when solely considering HA, such as hospitalized patients being more likely to be infected with A(H3N2) reassortants, and the possibility to link several phylogenetic groups to disease severity indicators could be relevant for epidemiological monitoring. Our study demonstrates that WGS offers multiple advantages for influenza monitoring in (inter)national influenza surveillance, and proposes an improved methodology. This allows leveraging all information contained in influenza genomes, and allows for more accurate genetic characterization and reassortment detection.

Dataset Information

Survey of Adult Influenza Vaccination Practices and Perspectives Among US Primary Care Providers (2016-2017 Influenza Season).

Publications

Survey of Adult Influenza Vaccination Practices and Perspectives Among US Primary Care Providers (2016-2017 Influenza Season).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets