Prevalence and Clinical Outcomes of Respiratory Syncytial Virus vs Influenza in Adults Hospitalized With Acute Respiratory Illness From a Prospective Multicenter Study.

BACKGROUND: Current understanding of severe respiratory syncytial virus (RSV) infections in adults is limited by clinical underrecognition. We compared the prevalence, clinical characteristics, and outcomes of RSV infections vs influenza in adults hospitalized with acute respiratory illnesses (ARIs) in a prospective national surveillance network. METHODS: Hospitalized adults who met a standardized ARI case definition were prospectively enrolled across 3 respiratory seasons from hospitals participating across all sites of the US Hospitalized Adult Influenza Vaccine Effectiveness Network (2016-2019). All participants were tested for RSV and influenza using real-time reverse-transcription polymerase chain reaction assay. Multivariable logistic regression was used to test associations between laboratory-confirmed infection and characteristics and clinical outcomes. RESULTS: Among 10 311 hospitalized adults, 6% tested positive for RSV (n = 622), 18.8% for influenza (n = 1940), and 75.1% negative for RSV and influenza (n = 7749). Congestive heart failure (CHF) or chronic obstructive pulmonary disease (COPD) was more frequent with RSV than influenza (CHF: 37.3% vs 28.8%, P < .0001; COPD: 47.6% vs 35.8%, P < .0001). Patients with RSV more frequently had longer admissions (odds ratio [OR], 1.38; 95% confidence interval [CI], 1.06-1.80) for stays >1 week) and mechanical ventilation (OR, 1.45; 95% CI, 1.09-1.93) compared with influenza but not compared with the influenza-negative group (OR, 1.03; 95% CI, .82-1.28 and OR, 1.17; 95% CI, .91-1.49, respectively). CONCLUSIONS: The prevalence of RSV across 3 seasons was considerable. Our findings suggest that those with RSV have worse outcomes compared with influenza and frequently have cardiopulmonary conditions. This study informs future vaccination strategies and underscores a need for RSV surveillance among adults with severe ARI.

Population-based hospitalization burden estimates for respiratory viruses, 2015-2019.

BACKGROUND: Acute respiratory infections (ARIs) result in millions of illnesses and hundreds of thousands of hospitalizations annually in the United States. The responsible viruses include influenza, parainfluenza, human metapneumovirus, coronaviruses, respiratory syncytial virus (RSV), and human rhinoviruses. This study estimated the population-based hospitalization burden of those respiratory viruses (RVs) over 4 years, from July 1, 2015 to June 30, 2019, among adults ≥18 years of age for Allegheny County (Pittsburgh), Pennsylvania. METHODS: We used population-based statewide hospital discharge data, health system electronic medical record (EMR) data for RV tests, census data, and a published method to calculate burden. RESULTS: Among 26,211 eligible RV tests, 67.6% were negative for any virus. The viruses detected were rhinovirus/enterovirus (2552; 30.1%), influenza A (2,299; 27.1%), RSV (1082; 12.7%), human metapneumovirus (832; 9.8%), parainfluenza (601; 7.1%), influenza B (565; 6.7%), non-SARS-CoV-2 coronavirus (420; 4.9% 1.5 years of data available), and adenovirus (136; 1.6%). Most tests were among female (58%) and White (71%) patients with 60% of patients ≥65 years, 24% 50-64 years, and 16% 18-49 years. The annual burden ranged from 137-174/100,000 population for rhinovirus/enterovirus; 99-182/100,000 for influenza A; and 56-81/100,000 for RSV. Among adults <65 years, rhinovirus/enterovirus hospitalization burden was higher than influenza A; whereas the reverse was true for adults ≥65 years. RV hospitalization burden increased with increasing age. CONCLUSIONS: These virus-specific ARI population-based hospital burden estimates showed significant non-influenza burden. These estimates can serve as the basis for several areas of research that are essential for setting funding priorities and guiding public health policy.

Using capture-recapture methods to estimate influenza hospitalization incidence rates.

BACKGROUND: Accurate population estimates of disease incidence and burden are needed to set appropriate public health policy. The capture-recapture (C-R) method combines data from multiple sources to provide better estimates than is possible using single sources. METHODS: Data were derived from clinical virology test results and from an influenza vaccine effectiveness study from seasons 2016-2017 to 2018-2019. The Petersen C-R method was used to estimate the population size of influenza cases; these estimates were then used to calculate adult influenza hospitalization burden using a Centers for Disease Control and Prevention (CDC) multiplier method. RESULTS: Over all seasons, 343 influenza cases were reported in the clinical database, and 313 in the research database. Fifty-nine cases (17%) reported in the clinical database were not captured in the research database, and 29 (9%) cases in the research database were not captured in the clinical database. Influenza hospitalizations were higher among vaccinated (58%) than the unvaccinated (35%) in the current season and were similar among unvaccinated (51%) and vaccinated (49%) in the previous year. Completeness of the influenza hospitalization capture was estimated to be 76%. The incidence rates for influenza hospitalizations varied by age and season and averaged 307-309 cases/100,000 adult population annually. CONCLUSION: Using C-R methods with more than one database, along with a multiplier method with adjustments improves the population estimates of influenza disease burden compared with relying on a single-data source.

Vaccine Effectiveness Against Acute Respiratory Illness Hospitalizations for Influenza-Associated Pneumonia During the 2015-2016 to 2017-2018 Seasons: US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN).

BACKGROUND: Evidence for vaccine effectiveness (VE) against influenza-associated pneumonia has varied by season, location, and strain. We estimate VE against hospitalization for radiographically identified influenza-associated pneumonia during 2015-2016 to 2017-2018 seasons in the US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN). METHODS: Among adults aged ≥18 years admitted to 10 US hospitals for acute respiratory illness (ARI), clinician-investigators used keywords from reports of chest imaging performed during 3 days around hospital admission to assign a diagnosis of "definite/probable pneumonia." We used a test-negative design to estimate VE against hospitalization for radiographically identified laboratory-confirmed influenza-associated pneumonia, comparing reverse transcriptase-polymerase chain reaction-confirmed influenza cases with test-negative subjects. Influenza vaccination status was documented in immunization records or self-reported, including date and location. Multivariable logistic regression models were used to adjust for age, site, season, calendar-time, and other factors. RESULTS: Of 4843 adults hospitalized with ARI included in the primary analysis, 266 (5.5%) had "definite/probable pneumonia" and confirmed influenza. Adjusted VE against hospitalization for any radiographically confirmed influenza-associated pneumonia was 38% (95% confidence interval [CI], 17-53%); by type/subtype, it was 74% (95% CI, 52-87%) influenza A (H1N1)pdm09, 25% (95% CI, -15% to 50%) A (H3N2), and 23% (95% CI, -32% to 54%) influenza B. Adjusted VE against intensive care for any influenza was 57% (95% CI, 19-77%). CONCLUSIONS: Influenza vaccination was modestly effective among adults in preventing hospitalizations and the need for intensive care associated with influenza pneumonia. VE was significantly higher against A (H1N1)pdm09 and was low against A (H3N2) and B.

Clinical Influenza Testing Practices in Hospitalized Children at United States Medical Centers, 2015-2018.

At nine US hospitals that enrolled children hospitalized with acute respiratory illness (ARI) during 2015-2016 through 2017-2018 influenza seasons, 50% of children with ARI received clinician-initiated testing for influenza and 35% of cases went undiagnosed due to lack of clinician-initiated testing. Marked heterogeneity in testing practice was observed across sites.

Coronavirus disease 2019 (COVID-19) Versus Influenza in Hospitalized Adult Patients in the United States: Differences in Demographic and Severity Indicators.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) is frequently compared with influenza. The Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) conducts studies on the etiology and characteristics of U.S. hospitalized adults with influenza. It began enrolling patients with COVID-19 hospitalizations in March 2020. Patients with influenza were compared with those with COVID-19 in the first months of the U.S. epidemic. METHODS: Adults aged ≥ 18 years admitted to hospitals in 4 sites with acute respiratory illness were tested by real-time reverse transcription polymerase chain reaction for influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19. Demographic and illness characteristics were collected for influenza illnesses during 3 seasons 2016-2019. Similar data were collected on COVID-19 cases admitted before June 19, 2020. RESULTS: Age groups hospitalized with COVID-19 (n = 914) were similar to those admitted with influenza (n = 1937); 80% of patients with influenza and 75% of patients with COVID-19 were aged ≥50 years. Deaths from COVID-19 that occurred in younger patients were less often related to underlying conditions. White non-Hispanic persons were overrepresented in influenza (64%) compared with COVID-19 hospitalizations (37%). Greater severity and complications occurred with COVID-19 including more ICU admissions (AOR = 15.3 [95% CI: 11.6, 20.3]), ventilator use (AOR = 15.6 [95% CI: 10.7, 22.8]), 7 additional days of hospital stay in those discharged alive, and death during hospitalization (AOR = 19.8 [95% CI: 12.0, 32.7]). CONCLUSIONS: While COVID-19 can cause a respiratory illness like influenza, it is associated with significantly greater severity of illness, longer hospital stays, and higher in-hospital deaths.

Effectiveness of Pfizer-BioNTech and Moderna Vaccines Against COVID-19 Among Hospitalized Adults Aged ≥65 Years - United States, January-March 2021.

Adults aged ≥65 years are at increased risk for severe outcomes from COVID-19 and were identified as a priority group to receive the first COVID-19 vaccines approved for use under an Emergency Use Authorization (EUA) in the United States (1-3). In an evaluation at 24 hospitals in 14 states,* the effectiveness of partial or full vaccination† with Pfizer-BioNTech or Moderna vaccines against COVID-19-associated hospitalization was assessed among adults aged ≥65 years. Among 417 hospitalized adults aged ≥65 years (including 187 case-patients and 230 controls), the median age was 73 years, 48% were female, 73% were non-Hispanic White, 17% were non-Hispanic Black, 6% were Hispanic, and 4% lived in a long-term care facility. Adjusted vaccine effectiveness (VE) against COVID-19-associated hospitalization among adults aged ≥65 years was estimated to be 94% (95% confidence interval [CI] = 49%-99%) for full vaccination and 64% (95% CI = 28%-82%) for partial vaccination. These findings are consistent with efficacy determined from clinical trials in the subgroup of adults aged ≥65 years (4,5). This multisite U.S. evaluation under real-world conditions suggests that vaccination provided protection against COVID-19-associated hospitalization among adults aged ≥65 years. Vaccination is a critical tool for reducing severe COVID-19 in groups at high risk.

Effectiveness of Influenza Vaccine for Preventing Laboratory-Confirmed Influenza Hospitalizations in Immunocompromised Adults.

BACKGROUND: Yearly influenza immunization is recommended for immunocompromised (IC) individuals, although immune responses are lower than that for the nonimmunocompromised and the data on vaccine effectiveness (VE) in the IC is scarce. We evaluated VE against influenza-associated hospitalization among IC adults. METHODS: We analyzed data from adults ≥ 18 years hospitalized with acute respiratory illness (ARI) during the 2017-2018 influenza season at 10 hospitals in the United States. IC adults were identified using prespecified case definitions using electronic medical record data. VE was evaluated with a test-negative case-control design using multivariable logistic regression with polymerase chain reaction-confirmed influenza as the outcome and vaccination status as the exposure, adjusting for age, enrolling site, illness onset date, race, days from onset to specimen collection, self-reported health, and self-reported hospitalizations. RESULTS: Of 3524 adults hospitalized with ARI, 1210 (34.3%) had an immunocompromising condition. IC adults were more likely to be vaccinated than non-IC (69.5% vs 65.2%) and less likely to have influenza (22% vs 27.8%). The mean age did not differ among IC and non-IC (61.4 vs 60.8 years of age). The overall VE against influenza hospitalization, including immunocompetent adults, was 33% (95% confidence interval [CI], 21-44). VE among IC vs non-IC adults was lower at 5% (95% CI, -29% to 31%) vs 41% (95% CI, 27-52) (P < .05 for interaction term). CONCLUSIONS: VE in 1 influenza season was very low among IC individuals. Future efforts should include evaluation of VE among the different immunocompromising conditions and whether enhanced vaccines improve the suboptimal effectiveness among the immunocompromised.

Relative and Absolute Effectiveness of High-Dose and Standard-Dose Influenza Vaccine Against Influenza-Related Hospitalization Among Older Adults-United States, 2015-2017.

BACKGROUND: Seasonal influenza causes substantial morbidity and mortality in older adults. High-dose inactivated influenza vaccine (HD-IIV), with increased antigen content compared to standard-dose influenza vaccines (SD-IIV), is licensed for use in people aged ≥65 years. We sought to evaluate the effectiveness of HD-IIV and SD-IIV for prevention of influenza-associated hospitalizations. METHODS: Hospitalized patients with acute respiratory illness were enrolled in an observational vaccine effectiveness study at 8 hospitals in the United States Hospitalized Adult Influenza Vaccine Effectiveness Network during the 2015-2016 and 2016-2017 influenza seasons. Enrolled patients were tested for influenza, and receipt of influenza vaccine by type was recorded. Effectiveness of SD-IIV and HD-IIV was estimated using a test-negative design (comparing odds of influenza among vaccinated and unvaccinated patients). Relative effectiveness of SD-IIV and HD-IIV was estimated using logistic regression. RESULTS: Among 1487 enrolled patients aged ≥65 years, 1107 (74%) were vaccinated; 622 (56%) received HD-IIV, and 485 (44%) received SD-IIV. Overall, 277 (19%) tested positive for influenza, including 98 (16%) who received HD-IIV, 87 (18%) who received SD-IIV, and 92 (24%) who were unvaccinated. After adjusting for confounding variables, effectiveness of SD-IIV was 6% (95% confidence interval [CI] -42%, 38%) and that of HD-IIV was 32% (95% CI -3%, 54%), for a relative effectiveness of HD-IIV versus SD-IIV of 27% (95% CI -1%, 48%). CONCLUSIONS: During 2 US influenza seasons, vaccine effectiveness was low to moderate for prevention of influenza hospitalization among adults aged ≥65 years. High-dose vaccine offered greater effectiveness. None of these findings were statistically significant.

Using Capture-Recapture Methods to Estimate Influenza Hospitalization Incidence Rates.

BACKGROUND: Accurate population estimates of disease incidence and burden are needed to set appropriate public health policy. The capture-recapture (C-R) method combines data from multiple sources to provide better estimates than is possible using single sources. METHODS: Data were derived from clinical virology test results and from an influenza vaccine effectiveness study from seasons 2016-2017 to 2018-2019. The Petersen C-R method was used to estimate the population size of influenza cases; these estimates were then used to calculate adult influenza hospitalization burden using a Centers for Disease Control and Prevention (CDC) multiplier method. RESULTS: Over all seasons, 343 influenza cases were reported in the clinical database and 313 in the research database. Fifty-nine cases (17%) reported in the clinical database were not captured in the research database, and 29 (9%) cases in the research database were not captured in the clinical database. Influenza hospitalizations were higher among vaccinated (58%) than the unvaccinated (35%) in the current season and were similar among unvaccinated (51%) and vaccinated (49%) in the previous year. Completeness of the influenza hospitalization capture was estimated to be 76%. The incidence rates for influenza hospitalizations varied by age and season and averaged 307-309 cases/100,000 adult population annually. CONCLUSION: Using Capture-Recapture methods with more than one database, along with a multiplier method with adjustments improves the population estimates of influenza disease burden compared with relying on a single data source.

Influenza Vaccine Effectiveness Against Hospitalization in the United States, 2019-2020.

BACKGROUND: Influenza causes significant morbidity and mortality and stresses hospital resources during periods of increased circulation. We evaluated the effectiveness of the 2019-2020 influenza vaccine against influenza-associated hospitalization in the United States. METHODS: We included adults hospitalized with acute respiratory illness at 14 hospitals and tested for influenza viruses by reserve-transcription polymerase chain reaction. Vaccine effectiveness (VE) was estimated by comparing the odds of current-season influenza vaccination in test-positive influenza cases vs test-negative controls, adjusting for confounders. VE was stratified by age and major circulating influenza types along with A(H1N1)pdm09 genetic subgroups. RESULTS: A total of 3116 participants were included, including 18% (n = 553) influenza-positive cases. Median age was 63 years. Sixty-seven percent (n = 2079) received vaccination. Overall adjusted VE against influenza viruses was 41% (95% confidence interval [CI], 27%-52%). VE against A(H1N1)pdm09 viruses was 40% (95% CI, 24%-53%) and 33% against B viruses (95% CI, 0-56%). Of the 2 major A(H1N1)pdm09 subgroups (representing 90% of sequenced H1N1 viruses), VE against one group (5A + 187A,189E) was 59% (95% CI, 34%-75%) whereas no VE was observed against the other group (5A + 156K) (-1% [95% CI, -61% to 37%]). CONCLUSIONS: In a primarily older population, influenza vaccination was associated with a 41% reduction in risk of hospitalized influenza illness.

Low Influenza Vaccine Effectiveness Against A(H3N2)-Associated Hospitalizations in 2016-2017 and 2017-2018 of the Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN).

BACKGROUND: The 2016-2017 and 2017-2018 influenza seasons were notable for the high number of hospitalizations for influenza A(H3N2) despite vaccine and circulating strain match. METHODS: We evaluated vaccine effectiveness (VE) against hospitalization in the test-negative HAIVEN study. Nasal-throat swabs were tested by quantitative reverse transcription polymerase chain reaction (RT-PCR) for influenza and VE was determined based on odds of vaccination by generalized estimating equations. Vaccine-specific antibody was measured in a subset of enrollees. RESULTS: A total of 6129 adults were enrolled from 10 hospitals. Adjusted VE against A(H3N2) was 22.8% (95% confidence interval [CI], 8.3% to 35.0%), pooled across both years and 49.4% (95% CI, 34.3% to 61.1%) against B/Yamagata. In 2017-2018, the A(H3N2) VE point estimate for the cell-based vaccine was 43.0% (95% CI, -36.3% to 76.1%; 56 vaccine recipients) compared to 24.0% (95% CI, 3.9% to 39.9%) for egg-based vaccines. Among 643 with serology data, hemagglutinin antibodies against the egg-based A(H3N2) vaccine strain were increased in influenza-negative individuals. CONCLUSIONS: Low VE for the A/Hong Kong/4801/2014 vaccine virus in both A(H3N2) seasons emphasizes concerns for continued changes in H3N2 antigenic epitopes, including changes that may impact glycosylation and ultimately reduce VE.

A randomized controlled trial of an online immunization curriculum.

INTRODUCTION: Immunization education for physicians-in-training is crucial to address vaccine concerns in clinical practice. Vaccine education is not standardized across residency programs. The Collaboration for Vaccination Education and Research (CoVER) team developed an online curriculum for pediatric (Peds) and family medicine (FM) residents. METHODS: A cluster randomized controlled trial (RCT) was performed during the 2017-2018 academic year to evaluate the CoVER curriculum. A convenience sample of residency institutions were randomly allocated to the intervention or control group, with stratification by residency type. The intervention, the CoVER curriculum, consisted of four online modules and an in-person training guide. Control sites continued with their standard vaccine education. Pre-intervention and post-intervention surveys were emailed to residents in both groups. The primary outcomes compared between groups were changes in "vaccine knowledge," "vaccine attitudes/hesitancy," and "self-confidence" in immunization communication. The team assessing outcomes was unblinded to assignments. Hierarchical general linear model was used to adjust for residency type and residency year; residency site was modeled as a random effect. RESULTS: Overall, 1444 residents from 31 residency programs were eligible to participate (734 intervention, 710 control). The pre-intervention response rate was 730 (51%) and post-intervention was 526 (36%). Average knowledge scores increased from pre-intervention (control 53%; CoVER 53%) to post-intervention (control 58%; CoVER 60%). Increases in vaccine knowledge among FM residents were greater for CoVER compared to controls (p = 0.041). Vaccine hesitancy was more common among FM (23%) than Peds (10%) residents. In all three residency years, residents in the CoVER group showed greater increases in self-confidence in ability to discuss vaccines with parents/patients (p < 0.03) compared to control group. CONCLUSION: The CoVER curriculum is an effective model to standardize immunization education of physicians-in-training. This RCT demonstrated the effectiveness of the CoVER curriculum to improve resident confidence in their ability to discuss vaccines with parents and patients.

A "Sense"-ational HPV Vaccination Quality Improvement Project in a Family Medicine Residency Practice.

BACKGROUND: Human papillomavirus (HPV) vaccination uptake for adolescents and young adults in the United States remains far from national goals. Using a multi-component intervention aligned with community-wide efforts, we implemented a quality improvement project to increase HPV vaccinations among 9-26 year-old male and female patients in an urban, low income, minority population family medicine residency practice. METHODS: The pre-intervention year was November 2, 2014 to October 31, 2015 and the intervention year was November 1, 2015 to October 31, 2016. Based on community input and published literature, the interventions were creative, practice-specific provider-, patient-, and system-level strategies. To compare pre- and post-intervention vaccinations, HPV vaccination data were extracted from an electronic medical record request for age-eligible patients seen in the practice during the intervention year. Chi-square, McNemar's and 2-tailed, 2-sample Z tests were used to test differences in vaccination initiation (≥1 dose) and completion (3 doses) across groups and over time. RESULTS: Despite high pre-intervention rates (58% and 75%), HPV vaccine initiation significantly increased 12.8 percentage points (PP) for males and 10.6 PP for females from pre- to post-intervention (P < 0.001). HPV vaccine completion also significantly increased 16 PP for males and 10.9 PP for females (P < 0.001). Young adult patients (18-26 years-old) had significant increases in completion rates (9.9 PP; P < 0.001), not observed among adolescents (20 PP; ns). CONCLUSIONS: Consistent and abundant positive HPV vaccination messaging, low-cost sensory rewards, process change, and community, clinician, and nonclinical staff engagement were associated with higher HPV vaccine initiation and completion, especially among young adults.

Does influenza vaccination status change physician ordering patterns for respiratory viral panels? Inspection for selection bias.

PURPOSE: Hospitalized patients with an acute respiratory illness (ARI) were compared to determine if demographic characteristics, timing or influenza vaccination biased who received clinical respiratory viral panel (RVP) testing. METHODS: 171 enrollees in an influenza vaccine effectiveness study and a sample of non-enrollees (N = 1029) admitted to a community hospital with ARI during December 2015 through April 2016 comprised the study sample. Those who received clinical RVP testing (n = 292) were compared to those who did not by age, sex, influenza vaccination status, and period (pre-peak influenza season vs. peak/post peak influenza season), using Chi square- and t-tests, and logistic regression. RESULTS: Mean age of participants was 70 years, 58% was female and 45% had been vaccinated against influenza in the 2015-2016 season. Those with clinical RVP testing were significantly younger (67 years) than those without RVP (71 years; P < 0.001), but did not differ with respect to sex or vaccination status. The odds of clinical RVP testing were significantly (P = 0.004) related to younger age (< 65 years) (Odds ratio (OR) = 1.51; 95% CI = 1.14-2.00) and to later period (peak/post peak influenza season; OR = 2.64; 95% CI = 1.84-3.79) but were unrelated to influenza vaccination status or the interaction of time and vaccination status. CONCLUSION: RVP testing was significantly higher among younger hospitalized patients with an ARI and during the peak and post peak influenza periods than earlier in the season, but influenza vaccination status was not a significant factor. Studies that enroll based on clinical RVP testing should account for potential differences by age.

Dissemination and implementation of the ICAMP.

The current rate of immunizations for older adults does not meet the immunization goals for Healthy People 2020. Using a Social Ecological Model and Social Cognitive Theory, the purpose of this study was to disseminate and implement the Immunization Champions, Advocates and Mentors Program (ICAMP) into a variety of health care settings. This study used a single group pre-/post-test design. Champions were recruited nationally. Five geographically diverse face-to-face meetings were held to train health care providers to be ICAMP immunization champions. Dissemination and implementation of ICAMP was evaluated using the Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) model. Participants were surveyed at baseline for descriptive information and were asked to gather immunization rates for at least one particular vaccine and provide follow-up data on progress toward goal achievement. A total of 212 champions from 82 settings participated in ICAMP. The majority were nurses (111/212, 52%). With regard to reach, we obtained 212 applications from individuals in a variety of settings interested in becoming champions. With regard to effectiveness, the majority of the champions (n = 178/212, 84%) used ICAMP material, 88% (n = 186/212) made changes related to immunization processes within their setting, and all reported that immunization practices improved. The majority used the toolkit materials up through 60 days following ICAMP. Sustained use of materials after the 60-day follow-up was less evident. ICAMP was implemented as intended and was effective in changing processes around immunizations. Ongoing work is needed to determine whether ICAMP improves immunization rates.

Using the 4 pillars™ practice transformation program to increase adult influenza vaccination and reduce missed opportunities in a randomized cluster trial.

BACKGROUND: An evidence-based, step-by-step guide, the 4 Pillars™ Practice Transformation Program, was the foundation of an intervention to increase adult immunizations in primary care and was tested in a randomized controlled cluster trial. The purpose of this study is to report changes in influenza immunization rates and on factors related to receipt of influenza vaccine. METHODS: Twenty five primary care practices were recruited in 2013, stratified by city (Houston, Pittsburgh), location (rural, urban, suburban) and type (family medicine, internal medicine), and randomized to the intervention (n = 13) or control (n = 12) in Year 1 (2013-14). A follow-up intervention occurred in Year 2 (2014-15). Demographic and vaccination data were derived from de-identified electronic medical record extractions. RESULTS: A cohort of 70,549 adults seen in their respective practices (n = 24 with 1 drop out) at least once each year was followed. Baseline mean age was 55.1 years, 35 % were men, 21 % were non-white and 35 % were Hispanic. After one year, both intervention and control arms significantly (P < 0.001) increased influenza vaccination, with average increases of 2.7 to 6.5 percentage points. In regression analyses, likelihood of influenza vaccination was significantly higher in sites with lower percentages of patients with missed opportunities (P < 0.001) and, after adjusting for missed opportunities, the intervention further improved vaccination rates in Houston (lower baseline rates) but not Pittsburgh (higher baseline rates). In the follow-up intervention, the likelihood of vaccination increased for both intervention sites and those that reduced missed opportunities (P < 0.005). CONCLUSIONS: Reducing missed opportunities across the practice increases likelihood of influenza vaccination of adults. The 4 Pillars™ Practice Transformation Program provides strategies for reducing missed opportunities to vaccinate adults. TRIAL REGISTRATION: This study was registered as a clinical trial on 03/20/2013 at ClinicalTrials.gov, Clinical Trial Registry Number: NCT01868334 , with a date of enrollment of the first participant to the trial of April 1, 2013.

Using the 4 Pillars™ Practice Transformation Program to increase adult Tdap immunization in a randomized controlled cluster trial.

INTRODUCTION: National adult Tdap vaccination rates are low, reinforcing the need to increase vaccination efforts in primary care offices. The 4 Pillars™ Practice Transformation Program is an evidence-based, step-by-step guide to improving primary care adult vaccination with an online implementation tracking dashboard. This study tested the effectiveness of an intervention to increase adult Tdap vaccination that included the 4 Pillars™ Program, provider education, and one-on-one coaching of practice-based immunization champions. METHODS: 25 primary care practices participated in a randomized controlled cluster trial (RCCT) in Year 1 (6/1/2013-5/31/2014) and a pre-post study in Year 2 (6/1/2014-1/31/2015). Baseline year was 6/1/2012-5/31/2013, with data analyzed in 2016. Demographic and vaccination data were derived from de-identified electronic medical record (EMR) extractions. The primary outcomes were vaccination rates and percentage point (PP) changes/year. RESULTS: The cohort consisted of 70,549 patients ⩾18years who were seen in the practices ⩾1 time each year, with a baseline mean age=55years; 35% were men; 56% were non-white; 35% were Hispanic and 20% were on Medicare. Baseline vaccination rate averaged 35%. In the Year 1 RCCT, cumulative Tdap vaccination increased significantly in both intervention and control groups; in both cities, the percentage point increases in the intervention groups (7.7 PP in Pittsburgh and 9.9 PP in Houston) were significantly higher (P<0.001) than in the control groups (6.4 PP in Pittsburgh and 7.6 PP in Houston). In the Year 2 pre-post study, in both cities, active intervention groups increased rates significantly more (6.2 PP for both) than maintenance groups (2.2 PP in Pittsburgh and 4.1 PP in Houston; P<0.001). CONCLUSIONS: An intervention that includes the 4 Pillars™ Practice Transformation Program, staff education and coaching is effective for increasing adult Tdap immunization rates within primary care practices. Clinical Trial Registry Name/Number: NCT01868334.

Intention to receive influenza vaccine after an acute respiratory illness.

OBJECTIVE: To determine the effects of symptoms and presence of confirmed influenza on intention to receive an influenza vaccine, specifically in patients recovering from a medically-attended acute (≤ 7 days' duration) respiratory illness (ARI). METHODS: During the 2013-14 influenza season individuals seeking outpatient care for an ARI that included cough were tested for influenza using reverse transcription polymerase chain reaction assays (PCR) and completed surveys. Children (6 months-18 years) and adults (≥ 18 years) were grouped by their combined current season's influenza vaccination status (vaccinated/not vaccinated) and their vaccination intentions for next season (intend/do not intend). RESULTS: Overall, 41% (323/786) were unvaccinated at enrollment; of those, nearly half (151/323) intended to be vaccinated next season. When adjusting for demographic, health, and other factors, unvaccinated individuals who intended to be vaccinated next season were approximately 1.5 times more likely to have PCR-confirmed influenza compared with vaccinated individuals who intended to be vaccinated next season. CONCLUSION: The combined experience of not being vaccinated against influenza and seeking medical attention for an ARI seemed to influence approximately one-half of unvaccinated participants to consider influenza vaccination for next season.

Pass rates on the American Board of Family Medicine Certification Exam by residency location and size.

BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) sets residency performance standards for the American Board of Family Medicine Certification Examination. This study aims are to describe the compliance of residency programs with ACGME standards and to determine whether residency pass rates depend on program size and location. METHODS: In this retrospective cohort study, residency performance from 2007 to 2011 was compared with the ACGME performance standards. Simple linear regression was performed to see whether program pass rates were dependent on program size. Regional differences in performance were compared with χ(2) tests, using an α level of 0.05. RESULTS: Of 429 total residency programs, there were 205 (47.8%) that violate ACGME performance standards. Linear regression showed that program pass rates were positively correlated and dependent on program size (P < .001). The median pass rate per state was 86.4% (interquartile range, 82.0-90.8. χ(2) Tests showed that states in the West performed higher than the other 3 US Census Bureau Regions (all P < .001). CONCLUSIONS: Approximately half of the family medicine training programs do not meet the ACGME examination performance standards. Pass rates are associated with residency program size, and regional variation occurs. These findings have the potential to affect ACGME policy and residency program application patterns.