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Silva JBB, Howe CJ, Jackson JW, Riester MR, Bardenheier BH, Xu L, Puckrein G, van Aalst R, Loiacono MM, Zullo AR. Geographic Variation in Racial Disparities in Receipt of High-Dose Influenza Vaccine Among US Older Adults. J Racial Ethn Health Disparities 2024; 11:1520-1529. [PMID: 37184814 PMCID: PMC10184628 DOI: 10.1007/s40615-023-01628-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/29/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Racial disparities in receipt of high-dose influenza vaccine (HDV) have been documented nationally, but whether small-area geographic variation in such disparities exists remains unknown. We assessed the distribution of disparities in HDV receipt between Black and White traditional Medicare beneficiaries vaccinated against influenza within states and hospital referral regions (HRRs). METHODS We conducted a nationally representative retrospective cohort study of 11,768,724 community-dwelling traditional Medicare beneficiaries vaccinated against influenza during the 2015-2016 influenza season (94.3% White and 5.7% Black). Our comparison was marginalized versus privileged racial group measured as Black versus White race. Vaccination and type of vaccine were obtained from Medicare Carrier and Outpatient files. Differences in the proportions of individuals who received HDV between Black and White beneficiaries within states and HRRs were used to measure age- and sex-standardized disparities in HDV receipt. We restricted to states and HRRs with ≥ 100 beneficiaries per age-sex strata per racial group. RESULTS We detected a national disparity in HDV receipt of 12.8 percentage points (pps). At the state level, the median standardized HDV receipt disparity was 10.7 pps (minimum, maximum: 2.9, 25.6; n = 30 states). The median standardized HDV receipt disparity among HRRs was 11.6 pps (minimum, maximum: 0.4, 24.7; n = 54 HRRs). CONCLUSION Black beneficiaries were less likely to receive HDV compared to White beneficiaries in almost every state and HRR in our analysis. The magnitudes of disparities varied substantially across states and HRRs. Local interventions and policies are needed to target geographic areas with the largest disparities to address these inequities.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA.
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Epidemiologic Research, Brown University School of Public Health, Providence, RI, USA
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Westat LLC, Rockville, MD, USA
| | - Liou Xu
- National Minority Quality Forum, Washington, DC, USA
| | - Gary Puckrein
- National Minority Quality Forum, Washington, DC, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Department of Modelling, Epidemiology, and Data Science, Sanofi, Lyon, France
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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2
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Lassen MCH, Johansen ND, Modin D, Nealon J, Samson S, Dufournet M, Loiacono MM, Larsen CS, Jensen AMR, Landler NE, Claggett BL, Solomon SD, Landray MJ, Gislason GH, Køber L, Jensen JUS, Sivapalan P, Vestergaard LS, Krause TG, Biering-Sørensen T. Effects of high-dose versus standard-dose quadrivalent influenza vaccine among patients with diabetes: A post-hoc analysis of the DANFLU-1 trial. Diabetes Obes Metab 2024; 26:1821-1829. [PMID: 38586966 DOI: 10.1111/dom.15498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 04/09/2024]
Abstract
AIM High-dose quadrivalent influenza vaccine (QIV-HD) has been shown to be more effective than standard-dose (QIV-SD) in reducing influenza infection, but whether diabetes status affects relative vaccine effectiveness (rVE) is unknown. We aimed to assess rVE on change in glycated haemoglobin [HbA1c (∆HbA1c)], incident diabetes, total all-cause hospitalizations (first + recurrent), and a composite of all-cause mortality and hospitalization for pneumonia or influenza. METHODS DANFLU-1 was a pragmatic, open-label trial randomizing adults (65-79 years) 1:1 to QIV-HD or QIV-SD during the 2021/22 influenza season. Cox proportional hazards regression was used to estimate rVE against incident diabetes and the composite endpoint, negative binomial regression to estimate rVE against all-cause hospitalizations, and ANCOVA when assessing rVE against ∆HbA1c. RESULTS Of the 12 477 participants, 1162 (9.3%) had diabetes at baseline. QIV-HD, compared with QIV-SD, was associated with a reduction in the rate of all-cause hospitalizations irrespective of diabetes [overall: 647 vs. 742 events, incidence rate ratio (IRR): 0.87, 95% CI (0.76-0.99); diabetes: 93 vs. 118 events, IRR: 0.80, 95% CI (0.55-1.15); without diabetes: 554 vs. 624 events, IRR: 0.88, 95% CI (0.76-1.01), pinteraction = 0.62]. Among those with diabetes, QIV-HD was associated with a lower risk of the composite outcome [2 vs. 11 events, HR: 0.18, 95% CI (0.04-0.83)] but had no effect on ∆HbA1c; QIV-HD adjusted mean difference: ∆ + 0.2 mmol/mol, 95% CI (-0.9 to 1.2). QIV-HD did not affect the risk of incident diabetes [HR 1.18, 95% CI (0.94-1.47)]. CONCLUSIONS In this post-hoc analysis, QIV-HD versus QIV-SD was associated with an increased rVE against the composite of all-cause death and hospitalization for pneumonia/influenza, and the all-cause hospitalization rate irrespective of diabetes status.
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Affiliation(s)
- Mats C Højbjerg Lassen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | - Carsten Schade Larsen
- Department of Clinical Medicine-Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Marie Reimer Jensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nino Emanuel Landler
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Martin J Landray
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Public Health, University of Oxford, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
| | - Gunnar H Gislason
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Danish Heart Foundation, Copenhagen, Denmark
- The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Pradeesh Sivapalan
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | | | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
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3
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Bhatt AS, Johansen ND, Modin D, Claggett BL, Dueger EL, Samson SI, Loiacono MM, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Vaduganathan M, Biering-Sørensen T. Electronic nudges increase influenza vaccination utilization after myocardial infarction: the nationwide NUDGE-FLU implementation trial. Eur Heart J 2024:ehae235. [PMID: 38596844 DOI: 10.1093/eurheartj/ehae235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Affiliation(s)
- Ankeet S Bhatt
- Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, CA, USA
- Department of Medicine, Stanford University Division of Cardiovascular Medicine, Palo Alto, CA, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
| | - Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Gentofte Hospitalsvej 8, 3.th., 2900 Hellerup, Denmark
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Gentofte Hospitalsvej 8, 3.th., 2900 Hellerup, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Pradeesh Sivapalan
- Department of Medicine, Respiratory Medicine Section, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Medicine, Respiratory Medicine Section, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Gentofte Hospitalsvej 8, 3.th., 2900 Hellerup, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
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4
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Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Modin D, Claggett BL, Dueger EL, Samson S, Loiacono MM, Harris RC, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Krause TG, Biering-Sørensen T. Clinical Outcomes With Electronic Nudges to Increase Influenza Vaccination : A Prespecified Analysis of a Nationwide, Pragmatic, Registry-Based, Randomized Implementation Trial. Ann Intern Med 2024; 177:476-483. [PMID: 38498876 DOI: 10.7326/m23-2638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND In the NUDGE-FLU (Nationwide Utilization of Danish Government Electronic letter system for increasing inFLUenza vaccine uptake) trial, electronic letters incorporating cardiovascular (CV) gain-framing and repeated messaging increased influenza vaccination by approximately 1 percentage point. OBJECTIVE To evaluate the effects of the successful nudging interventions on downstream clinical outcomes. DESIGN Prespecified exploratory analysis of a nationwide randomized implementation trial. (ClinicalTrials.gov: NCT05542004). SETTING The 2022 to 2023 influenza season. PARTICIPANTS 964 870 Danish citizens aged 65 years or older. INTERVENTION Usual care or 9 different electronically delivered behavioral nudging letters. MEASUREMENTS Cardiovascular, respiratory, and other clinical end points during follow-up from intervention delivery (16 September 2022) through 31 May 2023. RESULTS The analysis set included 691 820 participants. Hospitalization for pneumonia or influenza occurred in 3354 of 346 327 (1.0%) participants in the usual care group, 396 of 38 586 (1.0%) in the CV gain-framing group (hazard ratio [HR], 1.06 [95% CI, 0.95 to 1.18]; versus usual care), and 403 of 38 231 (1.1%) in the repeated letter group (HR, 1.09 [CI, 0.98 to 1.21]; versus usual care). In the usual care group, 44 682 (12.9%) participants were hospitalized for any cause, compared with 5002 (13.0%) in the CV gain-framing group (HR, 1.00 [CI, 0.97 to 1.03]; versus usual care) and 4965 (13.0%) in the repeated letter group (HR, 1.01 [CI, 0.98 to 1.04]; versus usual care). A total of 6341 (1.8%) participants died in the usual care group, compared with 721 (1.9%) in the CV gain-framing group (HR, 1.02 [CI, 0.94 to 1.10]; versus usual care) and 646 (1.7%) in the repeated letter group (HR, 0.92 [CI, 0.85 to 1.00]; versus usual care). LIMITATION Prespecified but exploratory analysis, potential misclassification of events in routinely collected registry data, and results may not be generalizable to other health systems or countries with other racial compositions and/or cultural or societal norms. CONCLUSION In a prespecified exploratory analysis, modest increases in influenza vaccination rates seen with electronic nudges did not translate into observable improvements in clinical outcomes. Seasonal influenza vaccination should remain strongly recommended. PRIMARY FUNDING SOURCE Sanofi.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, and Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (N.D.J., D.M., T.B.)
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, and Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, Massachusetts (M.V., S.G.L.)
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, and Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, Massachusetts, and Kaiser Permanente San Francisco Medical Center and Division of Research, San Francisco, California (A.S.B.)
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, and Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, Massachusetts (M.V., S.G.L.)
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, and Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (N.D.J., D.M., T.B.)
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (B.L.C., S.D.S.)
| | | | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, and Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark (L.K.)
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (B.L.C., S.D.S.)
| | - Pradeesh Sivapalan
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, and Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark (P.S., J.U.S.J.)
| | - Jens Ulrik Stæhr Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, and Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark (P.S., J.U.S.J.)
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark (C.J.-M.M., T.G.K.)
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark (C.J.-M.M., T.G.K.)
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, and Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (N.D.J., D.M., T.B.)
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5
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Johansen ND, Modin D, Skaarup KG, Nealon J, Samson S, Dufournet M, Loiacono MM, Harris RC, Larsen CS, Jensen AMR, Landler NE, Claggett BL, Solomon SD, Landray MJ, Gislason GH, Køber L, Jensen JUS, Sivapalan P, Vestergaard LS, Valentiner-Branth P, Krause TG, Biering-Sørensen T. Effectiveness of high-dose versus standard-dose quadrivalent influenza vaccine against recurrent hospitalizations and mortality in relation to influenza circulation: A post-hoc analysis of the DANFLU-1 randomized clinical trial. Clin Microbiol Infect 2024:S1198-743X(24)00039-9. [PMID: 38286177 DOI: 10.1016/j.cmi.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVES To evaluate the relative effectiveness of high-dose quadrivalent influenza vaccine (QIV-HD) versus standard-dose quadrivalent influenza vaccine (QIV-SD) against recurrent hospitalizations and its potential variation in relation to influenza circulation. METHODS We did a post-hoc analysis of a pragmatic, open-label, randomized trial of QIV-HD versus QIV-SD performed during the 2021-2022 influenza season among adults aged 65-79 years. Participants were enrolled in October 2021-November, 2021 and followed for outcomes from 14 days postvaccination until 31 May, 2022. We investigated the following outcomes: Hospitalizations for pneumonia or influenza, respiratory hospitalizations, cardio-respiratory hospitalizations, cardiovascular hospitalizations, all-cause hospitalizations, and all-cause death. Outcomes were analysed as recurrent events. Cumulative numbers of events were assessed weekly. Cumulative relative effectiveness estimates were calculated and descriptively compared with influenza circulation. The trial is registered at Clinicaltrials.gov: NCT05048589. RESULTS Among 12,477 randomly assigned participants, receiving QIV-HD was associated with lower incidence rates of hospitalizations for pneumonia or influenza (10 vs. 33 events, incidence rate ratio [IRR] 0.30 [95% CI, 0.14-0.64]; p 0.002) and all-cause hospitalizations (647 vs. 742 events, IRR 0.87 [95% CI, 0.76-0.99]; p 0.032) compared with QIV-SD. Trends favouring QIV-HD were consistently observed over time including in the period before active influenza transmission; i.e. while the first week with a ≥10% influenza test positivity rate was calendar week 10, 2022, the first statistically significant reduction in hospitalizations for pneumonia or influenza was already observed by calendar week 3, 2022 (5 vs. 15 events, IRR 0.33 [95% CI, 0.11-0.94]; p 0.037). DISCUSSION In a post-hoc analysis, QIV-HD was associated with lower incidence rates of hospitalizations for pneumonia or influenza and all-cause hospitalizations compared with QIV-SD, with trends evident independent of influenza circulation levels. Our exploratory results correspond to a number needed to treat of 65 (95% CI 35-840) persons vaccinated with QIV-HD compared with QIV-SD to prevent one additional all-cause hospitalization per season. Further research is needed to confirm these hypothesis-generating findings.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark
| | - Kristoffer Grundtvig Skaarup
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark
| | - Joshua Nealon
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, China
| | | | | | | | | | - Carsten Schade Larsen
- Department of Clinical Medicine, Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Marie Reimer Jensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark
| | - Nino Emanuel Landler
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin J Landray
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Public Health, University of Oxford, Oxford, United Kingdom; Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Gunnar H Gislason
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Danish Heart Foundation, Copenhagen, Denmark; The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Department of Medicine, Respiratory Medicine Section, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Pradeesh Sivapalan
- Department of Medicine, Respiratory Medicine Section, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | | | - Palle Valentiner-Branth
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Center for Translational Cardiology and Pragmatic Randomized Trials, University of Copenhagen, Denmark.
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6
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Lassen MCH, Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Modin D, Claggett BL, Dueger EL, Samson SI, Loiacono MM, Fralick M, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Krause TG, Biering-Sørensen T. Electronically Delivered Nudges to Increase Influenza Vaccination Uptake in Older Adults With Diabetes: A Secondary Analysis of the NUDGE-FLU Trial. JAMA Netw Open 2023; 6:e2347630. [PMID: 38117499 PMCID: PMC10733794 DOI: 10.1001/jamanetworkopen.2023.47630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/25/2023] [Indexed: 12/21/2023] Open
Abstract
Importance Influenza vaccination is associated with a reduced risk of mortality in patients with diabetes, but vaccination rates remain suboptimal. Objective To assess the effect of electronic nudges on influenza vaccination uptake according to diabetes status. Design, Setting, and Participants The NUDGE-FLU (Nationwide Utilization of Danish Government Electronic Letter System for Increasing Influenza Vaccine Uptake) trial was a nationwide clinical trial of Danish citizens 65 years or older that randomized participants at the household level to usual care or 9 different electronic nudge letters during the 2022 to 2023 influenza season. End of follow-up was January 1, 2023. This secondary analysis of the NUDGE-FLU trial was performed from May to July 2023. Intervention Nine different electronic nudge letters designed to boost influenza vaccination were sent in September to October 2022. Effect modification by diabetes status was assessed in a pooled analysis of all intervention arms vs usual care and for individual letters. Main Outcomes and Measures The primary end point was receipt of a seasonal influenza vaccine. Results The trial included 964 870 participants (51.5% female; mean [SD] age, 73.8 [6.3] years); 123 974 had diabetes. During follow-up, 83.5% with diabetes vs 80.2% without diabetes received a vaccine (P < .001). In the pooled analysis, nudges improved vaccination uptake in participants without diabetes (80.4% vs 80.0%; difference, 0.37 percentage points; 99.55% CI, 0.08 to 0.66), whereas there was no evidence of effect in those with diabetes (83.4% vs 83.6%; difference, -0.19 percentage points; 99.55% CI, -0.89 to 0.51) (P = .02 for interaction). In the main results of NUDGE-FLU, 2 of the 9 behaviorally designed letters (cardiovascular benefits letter and a repeated letter) significantly increased uptake of influenza vaccination vs usual care; these benefits similarly appeared attenuated in participants with diabetes (cardiovascular gain letter: 83.7% vs 83.6%; difference, 0.04 percentage points; 99.55% CI, -1.52 to 1.60; repeated letter: 83.5% vs 83.6%; difference, -0.15 percentage points; 99.55% CI, -1.71 to 1.41) vs those without diabetes (cardiovascular gain letter: 81.1% vs 80.0%; difference, 1.06 percentage points; 99.55% CI, 0.42 to 1.70; repeated letter: 80.9% vs 80.0%; difference, 0.87 percentage points; 99.55% CI, 0.22 to 1.52) (P = .07 for interaction). Conclusions and Relevance In this exploratory subgroup analysis, electronic nudges improved influenza vaccination uptake in persons without diabetes, whereas there was no evidence of an effect in persons with diabetes. Trials are needed to investigate the effect of digital nudges specifically tailored to individuals with diabetes. Trial Registration ClinicalTrials.gov Identifier: NCT05542004.
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Affiliation(s)
- Mats C. Højbjerg Lassen
- Department of Cardiology, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Center for Cardiometabolic Implementation Science, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Ankeet S. Bhatt
- Center for Cardiometabolic Implementation Science, Brigham and Women’s Hospital, Boston, Massachusetts
- Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, California
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brian L. Claggett
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Michael Fralick
- Sinai Health System, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital–Rigshospitalet, Copenhagen, Denmark
| | - Scott D. Solomon
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital–Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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7
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Ammann D, Bilger J, Loiacono MM, Oberle SG, Dounas A, Manuel O, Pletscher M. Burden of seasonal influenza in the Swiss adult population during the 2016/2017-2018/2019 influenza seasons. Influenza Other Respir Viruses 2023; 17:e13218. [PMID: 38019699 PMCID: PMC10667819 DOI: 10.1111/irv.13218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/21/2023] [Accepted: 10/10/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Evidence on the burden of seasonal influenza in Switzerland is scarce, yet it is critical for the design of effective prevention and control measures. The objective of this study was to assess influenza-related resource utilization, health care expenditures and quality-adjusted life-years (QALYs) lost in Switzerland across the 2016/2017-2018/2019 influenza seasons. METHODS We retrospectively analyzed multiple real-world data sources to calculate epidemiological and health outcomes, QALYs lost, and direct medical costs due to influenza in the Swiss adult population. Subgroups included residents 18-49, 50-64, and 65+ years of age. The observation period was Week 26, 2016, to Week 25, 2019. RESULTS Across the three seasons, we estimated seasonal averages of 203,090 (se ± 26,717) general practitioner (GP) visits for influenza-like illness (ILI) 4944 (se ± 785) influenza-attributable hospitalizations and 1355 (se ± 169) excess deaths attributable to influenza. We estimated a total loss of 8429 (2016/2017), 11,179 (2017/2018), and 7701 (2018/2019) QALYs due to influenza. On average, 88% of the loss in QALYs was attributed to premature deaths due to influenza. The total direct medical costs amounted to 44.4 (2016/2017), 77.3 (2017/2018), and 64.5 (2018/2019) million euros. On average, 79.6% of the total costs arose due to hospitalizations. CONCLUSIONS In Switzerland, the burden of influenza on patients and payers is significant and particularly high in the elderly population. Policy interventions to increase vaccination rates and the uptake of more effective vaccines among the elderly are needed to reduce the burden of influenza.
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Affiliation(s)
| | - Jana Bilger
- Bern University of Applied SciencesBernSwitzerland
| | | | | | | | - Oriol Manuel
- Infectious Diseases Service and Transplantation CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
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8
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Gadbois EA, Meehan A, Uth R, Baier RR, Gravenstein S, Zullo AR, Kabler H, Loiacono MM, Bardenheier BH. Identifying strategies that promote staff and resident influenza and COVID-19 vaccination in nursing homes: Perspectives from nursing home staff. Geriatr Nurs 2023; 54:205-210. [PMID: 37844537 DOI: 10.1016/j.gerinurse.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 10/18/2023]
Abstract
Resident and staff influenza and COVID-19 vaccination are critical components of infection prevention in nursing homes. Our study sought to characterize strategies that nursing home staff use to promote vaccination. Twenty-six telephone/videoconference interviews were conducted with administrators, directors of nursing, infection preventionists, and Minimum Data Set coordinators at 14 nursing homes across the US. Transcripts were analyzed using content analysis and a detailed audit trail was maintained. Staff described resident and staff influenza and COVID-19 vaccine hesitancy and confidence as well as varying approaches to promote vaccination. These included incentives, education efforts, and having a "vaccine champion" responsible for vaccine promotion. While many strategies had been in place prior to COVID-19 in support of improving influenza vaccination, participants reported implementing additional approaches to promote COVID-19 vaccination. Findings may inform future efforts to promote vaccination, which will be critical to mitigate the burden of influenza and COVID-19 in nursing homes.
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Affiliation(s)
- Emily A Gadbois
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States.
| | - Amy Meehan
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States
| | - Rebecca Uth
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States
| | - Rosa R Baier
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States
| | - Stefan Gravenstein
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States; Warren Alpert Medical School of Brown University, 222 Richmond St., Providence, RI 02903, United States; Providence Veterans Affairs Medical Center, 830 Chalkstone Ave., Providence, RI 02908, United States
| | - Andrew R Zullo
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States; Providence Veterans Affairs Medical Center, 830 Chalkstone Ave., Providence, RI 02908, United States; Department of Pharmacy, Rhode Island Hospital, 593 Eddy St., Providence, RI 02903, United States
| | - Heidi Kabler
- Medical Affairs, Sanofi, 1 Discovery Dr., Swiftwater, PA 18370, United States
| | - Matthew M Loiacono
- Global Medical Evidence Generation, Sanofi, 1 Discovery Dr., Swiftwater, PA 18370, United States
| | - Barbara H Bardenheier
- Brown University School of Public Health, 121 S. Main St., Providence, RI 02903, United States; Westat, Inc., 1600 Research Blvd., Rockville, MD 20850, United States
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9
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Chaves SS, Naeger S, Lounaci K, Zuo Y, Loiacono MM, Pilard Q, Nealon J, Genin M, Mahe C. High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match. Clin Infect Dis 2023; 77:1032-1042. [PMID: 37247308 PMCID: PMC10552589 DOI: 10.1093/cid/ciad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 05/09/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND High-dose (HD) influenza vaccine offers improved protection from influenza virus infection among older adults compared with standard-dose (SD) vaccine. Here, we explored whether HD vaccine attenuates disease severity among older adults with breakthrough influenza. METHODS This was a retrospective cohort study of US claims data for influenza seasons 2016-2017, 2017-2018, and 2018-2019, defined as 1 October through 30 April, among adults aged ≥65 years. After adjusting the different cohorts for the probability of vaccination conditional on patients' characteristics, we compared 30-day mortality rate post-influenza among older adults who experienced breakthrough infection after receipt of HD or SD influenza vaccines and among those not vaccinated (NV). RESULTS We evaluated 44 456 influenza cases: 23 109 (52%) were unvaccinated, 15 037 (33.8%) received HD vaccine, and 6310 (14.2%) received SD vaccine. Significant reductions in mortality rates among breakthrough cases were observed across all 3 seasons for HD vs NV, ranging from 17% to 29% reductions. A significant mortality reduction of 25% was associated with SD vaccination vs NV in the 2016-2017 season when there was a good match between circulating influenza viruses and selected vaccine strains. When comparing HD vs SD cohorts, mortality reductions were higher among those who received HD in the last 2 seasons when mismatch between vaccine strains and circulating H3N2 viruses was documented, albeit not significant. CONCLUSIONS HD vaccination was associated with lower post-influenza mortality among older adults with breakthrough influenza, even during seasons when antigenically drifted H3N2 circulated. Improved understanding of the impact of different vaccines on attenuating disease severity is warranted when assessing vaccine policy recommendations.
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Affiliation(s)
- Sandra S Chaves
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
| | - Sarah Naeger
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
| | | | - Yue Zuo
- Quinten Health, Lyon, France
| | | | | | - Joshua Nealon
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong Special Administrative Region of China
| | | | - Cedric Mahe
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
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10
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Silva JBB, Howe CJ, Jackson JW, Bardenheier BH, Riester MR, van Aalst R, Loiacono MM, Zullo AR. Geospatial Distribution of Racial Disparities in Influenza Vaccination in Nursing Homes. J Am Med Dir Assoc 2023:104804. [PMID: 37739348 PMCID: PMC10950839 DOI: 10.1016/j.jamda.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/24/2023]
Abstract
OBJECTIVES This study aimed to assess the distribution of racial disparities in influenza vaccination between White and Black short-stay and long-stay nursing home residents among states and hospital referral regions (HRRs). DESIGN Retrospective cohort study. SETTING AND PARTICIPANTS We included short-stay and long-stay older adults residing in US nursing homes during influenza seasons between 2011 and 2018. Included residents were aged ≥65 years and enrolled in Traditional Medicare. Analyses were conducted using resident-seasons, whereby residents could contribute to one or more influenza seasons if they resided in a nursing home across multiple seasons. METHODS Our comparison of interest was marginalized vs privileged racial group membership measured as Black vs White race. We obtained influenza vaccination documentation from resident Minimum Data Set assessments from October 1 through June 30 of a particular influenza season. Nonparametric g-formula was used to estimate age- and sex-standardized disparities in vaccination, measured as the percentage point (pp) difference in the proportions of individuals vaccinated between Black and White nursing home residents within states and HRRs. RESULTS The study included 7,807,187 short-stay resident-seasons (89.7% White and 10.3% Black) in 14,889 nursing homes and 7,308,111 long-stay resident-seasons (86.7% White and 13.3% Black) in 14,885 nursing homes. Among states, the median age- and sex-standardized disparity between Black and White residents was 10.1 percentage points (pps) among short-stay residents and 5.3 pps among long-stay residents across seasons. Among HRRs, the median disparity was 8.6 pps among short-stay residents and 5.0 pps among long-stay residents across seasons. CONCLUSIONS AND IMPLICATIONS Our analysis revealed that the magnitudes of vaccination disparities varied substantially across states and HRRs, from no disparity in vaccination to disparities in excess of 25 pps. Local interventions and policies should be targeted to high-disparity geographic areas to increase vaccine uptake and promote health equity.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Epidemiologic Research, Brown University School of Public Health, Providence, RI, USA
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public health, Baltimore, MD, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Department of Modelling, Epidemiology, and Data Science, Sanofi, Lyon, France; Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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11
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Lee JK, Lam GK, Yin JK, Loiacono MM, Samson SI. High-dose influenza vaccine in older adults by age and seasonal characteristics: Systematic review and meta-analysis update. Vaccine X 2023; 14:100327. [PMID: 37333054 PMCID: PMC10276206 DOI: 10.1016/j.jvacx.2023.100327] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/23/2023] [Accepted: 05/30/2023] [Indexed: 06/20/2023] Open
Abstract
This updated systematic review and meta-analysis of randomized and observational studies published up to April 2023 assessed the relative performance of high-dose inactivated influenza vaccine (HD-IIV) and standard-dose influenza vaccines (SD-IIV) against influenza-associated outcomes in older adults (≥65 years). The analysis included studies conducted over 12 influenza seasons (2009/2010 to 2019/2020, 2021/2022), including over 45 million individuals aged ≥ 65 years, and showed that HD-IIV provided significantly better protection than SD-IIV against influenza-like illness and influenza-related hospitalizations, as well as cardiovascular, cardiorespiratory, and all-cause hospitalizations. Subgroup analyses showed HD-IIV consistently provided better protection than SD-IIV against influenza outcomes across the age range (65+, 75+ 85+ years), and regardless of the predominantly circulating influenza strain and vaccine antigenic match/mismatch. Randomized studies continue to drive high-quality evidence on the effectiveness of high-dose inactivated influenza vaccine relative to SD-IIV against severe influenza outcomes in adults aged ≥ 65 years, supported by observational data.
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Affiliation(s)
- Jason K.H. Lee
- Leslie Dan School of Pharmacy, University of Toronto, Toronto, ON, Canada
- Sanofi, Toronto, ON, Canada
| | - Gary K.L. Lam
- Leslie Dan School of Pharmacy, University of Toronto, Toronto, ON, Canada
- Sanofi, Toronto, ON, Canada
| | - J. Kevin Yin
- University of Sydney, Camperdown, NSW, Australia
- Sanofi, Singapore
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12
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Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Modin D, Claggett BL, Dueger EL, Samson S, Loiacono MM, Harris RC, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Valentiner-Branth P, Krause TG, Biering-Sørensen T. Electronic nudges to increase influenza vaccination uptake among patients with heart failure: A pre-specified analysis of the NUDGE-FLU trial. Eur J Heart Fail 2023; 25:1450-1458. [PMID: 37211967 DOI: 10.1002/ejhf.2913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 05/23/2023] Open
Abstract
AIMS Seasonal influenza vaccination is strongly recommended in patients with heart failure (HF). The NUDGE-FLU trial recently found two electronic behavioural nudging letter strategies - a letter highlighting potential cardiovascular benefits of vaccination and a repeated letter at day 14 -effective in increasing influenza vaccination in Denmark. The aims of this pre-specified analysis was to further examine vaccination patterns and effects of these behavioural nudges in patients with HF including potential off-target effects on guideline-directed medical therapy (GDMT) use. METHODS AND RESULTS The nationwide NUDGE-FLU trial randomized 964 870 Danish citizens ≥65 years to usual care or nine different electronic nudging letter strategies. Letters were delivered through the official Danish electronic letter system. The primary endpoint was the receipt of an influenza vaccine; additional outcomes for this analysis included GDMT use. In this analysis, we also assessed influenza vaccination rates in the overall Danish HF population including those <65 years (n = 65 075). During the 2022-2023 season, influenza vaccination uptake was 71.6% in the overall Danish HF population but this varied considerably with only 44.6% uptake in those <65 years. A total of 33 109 NUDGE-FLU participants had HF at baseline. Vaccination uptake was higher among those on higher levels of baseline GDMT (≥3 classes: 85.3% vs. ≤2 classes: 81.9%; p < 0.001). HF status did not modify the effects of the two overall successful nudging strategies on influenza vaccination uptake (cardiovascular gain-framed letter: pinteraction = 0.37; repeated letter: pinteraction = 0.55). No effect modification was observed across GDMT use levels for the repeated letter (pinteraction = 0.88), whereas a trend towards attenuated effect among those on low levels of GDMT was observed for the cardiovascular gain-framed letter (pinteraction = 0.07). The letters had no impact on longitudinal GDMT use. CONCLUSIONS Approximately one in four patients with HF did not receive influenza vaccination with a pronounced implementation gap in those <65 years where less than half were vaccinated. HF status did not modify the effectiveness of cardiovascular gain-framed and repeated electronic nudging letters in increasing influenza vaccination rates. No unintended negative effects on longitudinal GDMT use were observed. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT05542004.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
- Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, CA, USA
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Staehr Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Kevin Yin J, Harris RC, Loiacono MM, Chit A, Samson SI. Letter to editor regarding a review of MF59-adjuvanted influenza vaccine by Gärtner et al. Vaccine 2023; 41:3948. [PMID: 36631360 DOI: 10.1016/j.vaccine.2022.12.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Affiliation(s)
- J Kevin Yin
- Global Medical Affairs, Sanofi, Singapore; The University of Sydney, NSW, Australia.
| | - Rebecca C Harris
- Global Medical Evidence Generation, Sanofi, Singapore; London School of Hygiene and Tropical Medicine, London, UK
| | | | - Ayman Chit
- Global Medical Affairs, Sanofi, Lyon, France; University of Toronto, Toronto, Ontario, Canada
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14
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Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Modin D, Claggett BL, Dueger EL, Samson S, Loiacono MM, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Valentiner-Branth P, Krause TG, Biering-Sørensen T. Nationwide Utilization of Danish Government Electronic letter system for increasing inFLUenza vaccine uptake (NUDGE-FLU): Study protocol for a nationwide randomized implementation trial. Am Heart J 2023; 260:58-71. [PMID: 36801265 DOI: 10.1016/j.ahj.2023.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/13/2023] [Accepted: 02/13/2023] [Indexed: 05/07/2023]
Abstract
BACKGROUND Annual influenza vaccination is widely recommended in older adults and other high-risk groups including patients with cardiovascular disease. The real-world effectiveness of influenza vaccination is limited by suboptimal uptake and effective strategies for increasing vaccination rates are therefore needed. The purpose of this trial is to investigate whether behavioral nudges digitally delivered via the Danish nationwide mandatory governmental electronic letter system can increase influenza vaccination uptake among older adults. METHODS The NUDGE-FLU trial is a randomized implementation trial randomizing all Danish citizens aged 65 years and above without an exemption from the Danish mandatory governmental electronic letter system to receive no digitally delivered behavioral nudge (usual care arm) or to receive one of 9 electronic letters (intervention arms) each leveraging different behavioral science strategies. The trial has randomized 964,870 participants with randomization clustered at the household level (n = 691,820 households). Intervention letters were delivered on September 16, 2022, and follow-up is currently ongoing. All trial data are captured using the nationwide Danish administrative health registries. The primary end point is the receipt of an influenza vaccine on or before January 1, 2023. The secondary end point is time to vaccination. Exploratory end points include clinical events such as hospitalization for influenza or pneumonia, cardiovascular events, all-cause hospitalization, and all-cause mortality. DISCUSSION The nationwide randomized NUDGE-FLU trial is one of the largest implementation trials ever conducted and will provide important insights into effective communication strategies to maximize vaccination uptake among high-risk groups. TRIAL REGISTRATION Clinicaltrials.gov: NCT05542004, registered September 15, 2022, https://clinicaltrials.gov/ct2/show/NCT05542004.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA; Kaiser Permanente Division of Research, Oakland, CA
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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15
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Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Modin D, Claggett BL, Dueger EL, Samson SI, Loiacono MM, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Valentiner-Branth P, Krause TG, Biering-Sørensen T. Electronic nudges to increase influenza vaccination uptake in Denmark: a nationwide, pragmatic, registry-based, randomised implementation trial. Lancet 2023; 401:1103-1114. [PMID: 36889332 DOI: 10.1016/s0140-6736(23)00349-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Influenza vaccination rates remain suboptimal despite effectiveness in preventing influenza infection and related complications. We investigated whether behavioural nudges, delivered via a governmental electronic letter system, would increase influenza vaccination uptake among older adults in Denmark. METHODS We did a nationwide, pragmatic, registry-based, cluster-randomised implementation trial during the 2022-23 influenza season in Denmark. All Danish citizens aged 65 years or older or turning 65 years by Jan 15, 2023 were included. We excluded individuals living in nursing homes and individuals who had an exemption from the Danish mandatory governmental electronic letter system. Households were randomly assigned (9:1:1:1:1:1:1:1:1:1) to usual care or nine different electronic letters designed on the basis of different behavioural nudging concepts. Data were sourced from nationwide Danish administrative health registries. The primary endpoint was receipt of influenza vaccination on or before Jan 1, 2023. The primary analysis assessed an analytical set of one randomly selected individual per household, and a sensitivity analysis included all randomly assigned individuals and accounted for within-household correlation. The trial is registered with ClinicalTrials.gov, NCT05542004. FINDINGS We identified 1 232 938 individuals aged 65 years or older in Denmark and excluded 56 436 (4·6%) individuals living in nursing homes and 211 632 (17·2%) with an exemption from the electronic letter system. We randomly assigned 964 870 (78·3%) participants across 691 820 households. Compared with usual care, influenza vaccination rates were higher in the group receiving an electronic letter highlighting potential cardiovascular benefits of vaccination (81·00% vs 80·12%; difference 0·89 percentage points [99·55% CI 0·29-1·48]; p<0·0001) and the group receiving repeated letters at randomisation and at day 14 (80·85% vs 80·12%; difference 0·73 percentage points [0·13-1·34]; p=0·0006). These strategies improved vaccination rates across major subgroups including those with and without established cardiovascular disease. The cardiovascular gain-framed letter was particularly effective among participants who had not been vaccinated for influenza in the previous season (pinteraction=0·0002). A sensitivity analysis of all randomly assigned individuals accounting for within-household clustering yielded similar findings. INTERPRETATION Electronically delivered letters highlighting potential cardiovascular benefits of influenza vaccination or sent again as a reminder significantly increased vaccination uptake across Denmark. Although the magnitude of effectiveness was modest, the low-touch, inexpensive, and highly scalable nature of these electronic letters might be informative for future public health campaigns. FUNDING Sanofi.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA; Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, CA, USA
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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16
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Modin D, Johansen ND, Vaduganathan M, Bhatt AS, Lee SG, Claggett BL, Dueger EL, Samson SI, Loiacono MM, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Valentiner-Branth P, Krause TG, Biering-Sørensen T. The Effect of Electronic Nudges on Influenza Vaccination Rate in Older Adults With Cardiovascular Disease: a Prespecified Analysis of the NUDGE-FLU Trial. Circulation 2023; 147:1345-1354. [PMID: 36871213 DOI: 10.1161/circulationaha.123.064270] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Background: Influenza vaccines have been demonstrated to effectively reduce the incidence of influenza infection and potentially associated risks of cardiovascular events in patients with cardiovascular disease (CVD). Despite strong guideline and public health endorsements, global influenza vaccination rates in patients with CVD are highly variable. This prespecified analysis of NUDGE-FLU (Nationwide Utilization of Danish Government Electronic Letter System for Increasing InFLUenza Vaccine Uptake) examined the effect of digital behavioral nudges on influenza vaccine uptake based on the presence of cardiovascular disease. Methods: NUDGE-FLU was a randomized, pragmatic, nationwide, register-based trial including Danish citizens aged 65 years or older during the 2022-2023 influenza season. Households were randomized in a 9:1:1:1:1:1:1:1:1:1 ratio to usual care or 9 electronic letters with designs based on behavioral concepts. Danish nationwide registers were used to collect baseline and outcome data. The primary endpoint was receipt of an influenza vaccine on or before January 1, 2023. The effects of the intervention letters were examined according to the presence of cardiovascular disease and across cardiovascular subgroups including heart failure, ischemic heart disease, and atrial fibrillation. Results: Of 964,870 NUDGE-FLU participants from 691,820 households, 264,392 (27.4%) had CVD. During follow-up, 83.1% of participants with CVD vs 79.2% of participants without CVD received influenza vaccination (p<0.001). Compared with usual care, a letter emphasizing the potential cardiovascular benefits of influenza vaccination increased vaccination rates; this effect was consistent in participants with CVD (absolute difference +0.60 percentage points, 99.55% CI -0.48 to 1.68) and without CVD (+0.98 percentage points, 99.55% CI 0.27 to 1.70; P for interaction=0.41). A repeated letter strategy with a reminder follow-up letter 14 days later was also effective in increasing influenza vaccination, irrespective of CVD (CVD: absolute difference +0.80 percentage points, 99.55% CI -0.27 to 1.86; no CVD: +0.67 percentage points, 99.55% CI -0.06 to 1.40; P for interaction=0.77). Effectiveness of both nudging strategies was consistent across all major CVD subgroups. None of the other seven nudging strategies were effective, regardless of CVD status. Conclusions: Electronic letter interventions emphasizing the potential cardiovascular benefits of influenza vaccination and using a reminder letter strategy were similarly beneficial in increasing influenza vaccination rates among older adults with and without CVD and across cardiovascular subgroups. Electronic nudges may improve influenza vaccine uptake in individuals with CVD.
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Affiliation(s)
- Daniel Modin
- Department of Cardiology, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA; Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, CA
| | - Simin Gharib Lee
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston, MA
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | | | | | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark
| | - Cyril Jean-Marie Martel
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
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Johansen ND, Modin D, Nealon J, Samson S, Salamand C, Loiacono MM, Larsen CS, Jensen AMR, Landler NE, Claggett BL, Solomon SD, Landray MJ, Gislason GH, Køber L, Jensen JUS, Sivapalan P, Vestergaard LS, Valentiner-Branth P, Krause TG, Biering-Sørensen T. A Pragmatic Randomized Feasibility Trial of Influenza Vaccines. NEJM Evid 2023; 2:EVIDoa2200206. [PMID: 38320035 DOI: 10.1056/evidoa2200206] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Randomized Feasibility Trial of Influenza VaccinesThis pragmatic, open-label, active-controlled, randomized feasibility trial of QIV-HD versus QIV-SD was conducted in Danish citizens aged 65 to 79 years during the 2021-2022 influenza season. Randomization was integrated into routine vaccination practice. Only nationwide administrative health registries were used for data collection.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Joshua Nealon
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | | | | | | | - Carsten Schade Larsen
- Department of Clinical Medicine, Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Marie Reimer Jensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Nino Emanuel Landler
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Martin J Landray
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Public Health, University of Oxford, Oxford, United Kingdom
- Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Gunnar H Gislason
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
- The Danish Heart Foundation, Copenhagen
- The National Institute of Public Health, University of Southern Denmark, Copenhagen
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen
| | - Jens Ulrik Stæhr Jensen
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
| | - Pradeesh Sivapalan
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
| | | | | | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
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Lee JK, Lam GK, Vaisman R, Yin KJ, Seet BT, Loiacono MM, Samson SI. 102. Efficacy and Effectiveness of High-Dose Influenza Vaccine in Older Adults by Age and Seasonal Characteristics: An Updated Systematic Review and Meta-Analysis. Open Forum Infect Dis 2022. [PMCID: PMC9751930 DOI: 10.1093/ofid/ofac492.180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background High-dose influenza vaccine (HD-IIV) has been used extensively in older adults since its approval in 2009. Studies comparing HD-IIV to standard-dose influenza vaccines (SD-IIV) have demonstrated protection beyond influenza, including reduction of outcomes like cardiorespiratory and all-cause hospitalizations. This study is an update of previously-conducted reviews of the relative vaccine efficacy/effectiveness (rVE) of HD-IIV vs. SD-IIV in adults ≥65 years against influenza-associated outcomes from 2009-2020, with sub-analyses by seasonal and recipient characteristics. Methods An updated systematic review and meta-analysis was conducted for studies assessing the rVE of HD-IIV against probable/laboratory-confirmed influenza-like illness (ILI), emergency department (ED) and/or hospital admissions in adults ≥65 years. Results from individual seasons – stratified by outcome, subject characteristics, and influenza season, were meta-analyzed to estimate pooled rVEs of HD-IIV. Results 19 studies from 11 consecutive seasons with over 45 million HD-IIV or SD-IIV recipients were meta-analyzed. Overall, HD-IIV demonstrated improved protection vs. SD-IIV against ILI (rVE=14.3%, 95%CI:4.2-23.3%), HD-IIV was more effective at preventing hospital/ED visits due to influenza (rVE=10.4%, 95%CI:6.8-13.9%), and hospitalizations due to influenza (rVE=11.2%, 95%CI:7.4-14.8%), pneumonia (rVE=27.3%, 95%CI:15.3-37.6%); pneumonia and influenza (rVE=13.4%, 95%CI:7.3-19.2%); respiratory (rVE=14.3%, 95%CI:8.5-20.0%), cardiovascular (rVE=13.1%, 95%CI:10.5-15.7%), and cardiorespiratory events (rVE=17.9%, 95%CI:15.0-20.8%); and all-causes (rVE=8.4%, 95%CI:5.7-11.0%). Pooled rVEs were similar in sub-analyses by dominant strain, antigenic match, and study type/setting. While all adults 65+ benefited from the use of HD-IIV, age-stratified analyses of the rVE of HD-IIV suggested additional relative benefit with increasing age. Conclusion Evidence over 11 consecutive influenza seasons from both randomized and observational studies suggests HD-IIV was consistently more effective than SD-IIV at reducing influenza and associated serious outcomes irrespective of recipient age and characteristics of the influenza season. Disclosures Jason K. Lee, MS, MBiotech, Sanofi: Employee|Sanofi: Stocks/Bonds Gary K. Lam, PharmD, RPh, Sanofi: Employee Rolan Vaisman, PharmD, RPh, Sanofi: Employee Kevin J. Yin, MD, MPH, PhD, Sanofi: Employee|Sanofi: Stocks/Bonds Bruce T. Seet, PhD, MBA, Sanofi: Employee|Sanofi: Stocks/Bonds Matthew M. Loiacono, PhD, MSc, Sanofi: Employee|Sanofi: Stocks/Bonds Sandrine I. Samson, PhD, Sanofi: Employee|Sanofi: Stocks/Bonds.
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Riester MR, Roberts AI, Silva JBB, Howe CJ, Bardenheier BH, van Aalst R, Loiacono MM, Zullo AR. Geographic Variation in Influenza Vaccination Disparities Between Hispanic and Non-Hispanic White US Nursing Home Residents. Open Forum Infect Dis 2022; 9:ofac634. [PMID: 36540392 PMCID: PMC9757686 DOI: 10.1093/ofid/ofac634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/22/2022] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Disparities in influenza vaccination exist between Hispanic and non-Hispanic White US nursing home (NH) residents, but the geographic areas with the largest disparities remain unknown. We examined how these racial/ethnic disparities differ across states and hospital referral regions (HRRs). METHODS This retrospective cohort study included >14 million short-stay and long-stay US NH resident-seasons over 7 influenza seasons from October 1, 2011, to March 31, 2018, where residents could contribute to 1 or more seasons. Residents were aged ≥65 years and enrolled in Medicare fee-for-service. We used the Medicare Beneficiary Summary File to ascertain race/ethnicity and Minimum Data Set assessments for influenza vaccination. We calculated age- and sex-standardized percentage point (pp) differences in the proportions vaccinated between non-Hispanic White and Hispanic (any race) resident-seasons. Positive pp differences were considered disparities, where the proportion of non-Hispanic White residents vaccinated was greater than the proportion of Hispanic residents vaccinated. States and HRRs with ≥100 resident-seasons per age-sex stratum per racial/ethnic group were included in analyses. RESULTS Among 7 442 241 short-stay resident-seasons (94.1% non-Hispanic White, 5.9% Hispanic), the median standardized disparities in influenza vaccination were 4.3 pp (minimum, maximum: 0.3, 19.2; n = 22 states) and 2.8 pp (minimum, maximum: -3.6, 10.3; n = 49 HRRs). Among 6 758 616 long-stay resident-seasons (93.7% non-Hispanic White, 6.5% Hispanic), the median standardized differences were -0.1 pp (minimum, maximum: -4.1, 11.4; n = 18 states) and -1.8 pp (minimum, maximum: -6.5, 7.6; n = 34 HRRs). CONCLUSIONS Wide geographic variation in influenza vaccination disparities existed across US states and HRRs. Localized interventions targeted toward areas with high disparities may be a more effective strategy to promote health equity than one-size-fits-all national interventions.
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Affiliation(s)
- Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Anthony I Roberts
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Epidemiologic Research, Brown University, Providence, Rhode Island, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Westat LLC, Rockville, Maryland, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Modelling, Epidemiology, and Data Science, Global Medical Affairs, Sanofi, Lyon, France
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Matthew M Loiacono
- Global Medical Evidence Generation, Sanofi, Swiftwater, Pennsylvania, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
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Yin JK, Pepin S, van Aalst R, Loiacono MM, Samson SI. Reply to letter to editor by Hadigal et al. regarding the immunogenicity and safety trial of high-dose influenza vaccine in adults aged ≥60 years. Hum Vaccin Immunother 2022; 18:2106749. [PMID: 35914122 DOI: 10.1080/21645515.2022.2106749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Hadigal et al. argued the recommendation of high-dose influenza vaccine over standard-dose formulation is not supported by comparisons of numbers-needed-to-vaccinate (NNV) nor aligned with the WHO mandate of improving vaccine coverage. However, the authors' NNV calculation was inaccurate. A preferential recommendation for vaccines preventing influenza/complications can increase coverage. Furthermore, the impact of vaccination is a function of efficacy/effectiveness and the vaccine-preventable fraction of disease burden; therefore Hadigal et al. should interpret the absolute risk reduction by vaccination within the context of overall disease burden. To address the threat of COVID-19 pandemic, authorities should implement concomitant influenza/COVID-19 vaccination to reduce the burden of cocirculation of influenza and SARS- CoV- 2 viruses and increase the coverage of proven influenza vaccines as per WHO mandate.
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Affiliation(s)
- J Kevin Yin
- Global Medical Affairs, Sanofi, Singapore.,Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | | | - Robertus van Aalst
- Department of Modeling, Epidemiology and Data Science, Global Medical Affairs, Sanofi, Lyon, France.,Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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O’Neill ET, Bosco E, Persico E, Silva JB, Riester MR, Moyo P, van Aalst R, Loiacono MM, Chit A, Gravenstein S, Zullo AR. Correlation of long-term care facility vaccination practices between seasons and resident types. BMC Geriatr 2022; 22:835. [PMID: 36333667 PMCID: PMC9635204 DOI: 10.1186/s12877-022-03540-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Background Influenza vaccination varies widely across long-term care facilities (LTCFs) due to staff behaviors, LTCF practices, and patient factors. It is unclear how seasonal LTCF vaccination varies between cohabitating but distinct short-stay and long-stay residents. Thus, we assessed the correlation of LTCF vaccination between these populations and across seasons. Methods The study design is a national retrospective cohort using Medicare and Minimum Data Set (MDS) data. Participants include U.S. LTCFs. Short-stay and long-stay Medicare-enrolled residents age ≥ 65 in U.S. LTCFs from a source population of residents during October 1st-March 31st in 2013–2014 (3,042,881 residents; 15,683 LTCFs) and 2014–2015 (3,143,174, residents; 15,667 LTCFs). MDS-assessed influenza vaccination was the outcome. Pearson correlation coefficients were estimated to assess seasonal correlations between short-stay and long-stay resident vaccination within LTCFs. Results The median proportion of short-stay residents vaccinated across LTCFs was 70.4% (IQR, 50.0–82.7%) in 2013–2014 and 69.6% (IQR, 50.0–81.6%) in 2014–2015. The median proportion of long-stay residents vaccinated across LTCFs was 85.5% (IQR, 78.0–90.9%) in 2013–2014 and 84.6% (IQR, 76.6–90.3%) in 2014–2015. Within LTCFs, there was a moderate correlation between short-stay and long-stay vaccination in 2013–2014 (r = 0.50, 95%CI: 0.49–0.51) and 2014–2015 (r = 0.53, 95%CI: 0.51–0.54). Across seasons, there was a moderate correlation for LTCFs with short-stay residents (r = 0.54, 95%CI: 0.53–0.55) and a strong correlation for those with long-stay residents (r = 0.68, 95%CI: 0.67–0.69). Conclusions In LTCFs with inconsistent influenza vaccination across seasons or between populations, targeted vaccination protocols for all residents, regardless of stay type, may improve successful vaccination in this vulnerable patient population. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03540-3.
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Affiliation(s)
- Emily T. O’Neill
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Elliott Bosco
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Erin Persico
- grid.20431.340000 0004 0416 2242University of Rhode Island College of Pharmacy, Kingston, RI USA
| | - Joe B. Silva
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Melissa R. Riester
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Patience Moyo
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Robertus van Aalst
- grid.417555.70000 0000 8814 392XSanofi, Swiftwater, PA USA ,grid.4494.d0000 0000 9558 4598Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Ayman Chit
- grid.417555.70000 0000 8814 392XSanofi, Swiftwater, PA USA ,grid.17063.330000 0001 2157 2938Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
| | - Stefan Gravenstein
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA ,grid.413904.b0000 0004 0420 4094Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI USA ,grid.40263.330000 0004 1936 9094Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI USA
| | - Andrew R. Zullo
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA ,grid.413904.b0000 0004 0420 4094Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI USA ,grid.40263.330000 0004 1936 9094Department of Epidemiology, Brown University School of Public Health, Providence, RI USA
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22
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Mahmud SM, Pabla G, Righolt CH, Loiacono MM, Thommes E, Chit A. What explains racial/ethnic inequities in the uptake of differentiated influenza vaccines? Prev Med 2022; 163:107236. [PMID: 36058382 DOI: 10.1016/j.ypmed.2022.107236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/25/2022] [Accepted: 08/28/2022] [Indexed: 10/14/2022]
Abstract
We investigated the role of individual, community and vaccinator characteristics in mediating racial/ethnic disparities in the uptake of differentiated influenza vaccines (DIVs; including high-dose, adjuvanted, recombinant and cell-based vaccines). We included privately-insured (commercial and Medicare Advantage) ≥65 years-old community-dwelling health plan beneficiaries in the US with >1 year of continuous coverage and who received ≥1 influenza vaccine during the study period (July 2014-June 2018). Of 2.8 million distinct vaccination claims, 60% were for DIVs; lower if received in physician offices (49%) compared to pharmacies/facilities (74%). Among those vaccinated in physician offices, non-whites had lower odds of receiving a DIV if they lived in a non-minority county (0.77;95%CI 0.75-0.80) and even lower odds if they lived in a minority county (0.62;0.60-0.63). Differences in education, household income, medical history, community and vaccinator characteristics did not fully explain the disparities. Similar patterns emerged for vaccinations in pharmacies/facilities, although disparities disappeared altogether after controlling for socio-economic and vaccinator characteristics. When vaccinated in physician offices, minority county residents were less likely to receive a DIV, especially for non-whites (0.72;0.67-0.78). These disparities disappeared for whites, but not for non-whites, after controlling for community and vaccinator characteristics. We found an alarming level of inequity in DIV vaccine uptake among fully insured older adults that could not be fully explained by differences in sociodemographic, medical, community, and vaccinator characteristics. New strategies are urgently needed to address these inequities.
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Affiliation(s)
- Salaheddin M Mahmud
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, 337-750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada.
| | - Gurpreet Pabla
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, 337-750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, 337-750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada
| | - Matthew M Loiacono
- Global Medical Evidence Generation, Sanofi, 1 Discovery Dr, 18370 Swiftwater, PA, United States
| | - Edward Thommes
- Global Modeling Epidemiology and Data Science, Sanofi, 1755 Steeles Ave W, North York, ON M2R 3T4, Canada; Department of Mathematics & Statistics, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada
| | - Ayman Chit
- Global Medical, Sanofi, 14 Espa. Henry Vallée, 69007 Lyon, France; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
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23
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Meehan A, Uth R, Gadbois EA, Baier RR, Gravenstein S, Zullo AR, Kabler H, Loiacono MM, Bardenheier BH. Impact of COVID-19 on influenza and infection control practices in nursing homes. J Am Geriatr Soc 2022; 71:661-665. [PMID: 36146903 PMCID: PMC9538598 DOI: 10.1111/jgs.18061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 08/31/2022] [Accepted: 09/05/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Amy Meehan
- Brown University School of Public HealthProvidenceRhode IslandUSA
| | - Rebecca Uth
- Brown University School of Public HealthProvidenceRhode IslandUSA
| | - Emily A. Gadbois
- Brown University School of Public HealthProvidenceRhode IslandUSA
| | - Rosa R. Baier
- Brown University School of Public HealthProvidenceRhode IslandUSA
| | - Stefan Gravenstein
- Brown University School of Public HealthProvidenceRhode IslandUSA,Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA,Providence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
| | - Andrew R. Zullo
- Brown University School of Public HealthProvidenceRhode IslandUSA,Providence Veterans Affairs Medical CenterProvidenceRhode IslandUSA,Rhode Island HospitalProvidenceRhode IslandUSA
| | | | | | - Barbara H. Bardenheier
- Brown University School of Public HealthProvidenceRhode IslandUSA,Westat, Inc.RockvilleMarylandUSA
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24
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Fisher L, Loiacono MM, Payne N, Kelley T, Greenberg M, Charpentier M, Leblanc C, Sundaresan D, Bancroft T, Steffens A, Paudel M. A novel household-based patient outreach pilot program to boost late-season influenza vaccination rates during the COVID-19 pandemic. Influenza Other Respir Viruses 2022; 16:1141-1150. [PMID: 36098249 PMCID: PMC9530505 DOI: 10.1111/irv.13041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 11/27/2022] Open
Abstract
Background The objective of this study was to test a novel household‐based approach to improve late‐season influenza vaccine uptake during the 2020–2021 season, using Epic's MyChart patient portal messages and/or interactive voice response telephone calls. Methods This study was a non‐blinded, quality improvement program using a block randomized design conducted among patients from Reliant Medical Group clinics residing in a traditional household (≥2 individuals clinically active in the Reliant system living at the same address). Households were randomized 1:1:1 into intervention arms: non‐tailored communication (messaging based on CDC's seasonal influenza vaccination campaign), tailored communication (comprehensive communication including reinforcement of the importance of influenza vaccination for high‐risk individuals), and standard‐of‐care control. Influenza vaccination during the program was captured via medical records, and the odds of vaccination among communication arms versus the control arm were assessed. A survey assessing influenza vaccination drivers was administered using MyChart. Results Influenza vaccination increased by 3.3% during the program period, and no significant differences in vaccination were observed in intervention arms relative to the control arm. Study operationalization faced substantial challenges related to the concurrent COVID‐19 pandemic. Compared with vaccinated survey respondents, unvaccinated respondents less frequently reported receiving a recommendation for influenza vaccination from their healthcare provider (15.8% vs. 42.3%, p < 0.001) or awareness that vaccination could protect themselves and higher risk contacts (82.3% vs. 92.6%, p < 0.001). Conclusions No significant effects of the interventions were observed. Survey results highlighted the importance of healthcare provider recommendations and the need for increased education around the benefits of vaccination.
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Affiliation(s)
- Lloyd Fisher
- Reliant Medical Group, Worcester, Massachusetts, USA.,UMass Medical School, Worcester, Massachusetts, USA
| | | | - Nick Payne
- Optum Life Sciences, Eden Prairie, Minnesota, USA
| | - Tina Kelley
- Optum Life Sciences, Eden Prairie, Minnesota, USA
| | | | | | | | | | - Tim Bancroft
- Optum Life Sciences, Eden Prairie, Minnesota, USA
| | | | - Misti Paudel
- Optum Life Sciences, Eden Prairie, Minnesota, USA
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25
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Loiacono MM, Van Aalst R, Pokutnaya D, Mahmud SM, Nealon J. Methods to account for measured and unmeasured confounders in influenza relative vaccine effectiveness studies: A brief review of the literature. Influenza Other Respir Viruses 2022; 16:846-850. [PMID: 35545260 PMCID: PMC9343322 DOI: 10.1111/irv.12999] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/21/2022] [Indexed: 01/15/2023] Open
Abstract
Observational seasonal influenza relative vaccine effectiveness (rVE) studies employ a variety of statistical methods to account for confounding and biases. To better understand the range of methods employed and implications for policy, we conducted a brief literature review. Across 37 included rVE studies, 10 different types of statistical methods were identified, and only eight studies reported methods to detect residual confounding, highlighting the heterogeneous state of the literature. To improve the comparability and credibility of future rVE research, researchers should clearly explain methods and design choices and implement methods to detect and quantify residual confounding.
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Affiliation(s)
- Matthew M Loiacono
- Global Medical Evidence Generation, Sanofi, Swiftwater, Pennsylvania, USA
| | - Robertus Van Aalst
- Department of Modeling, Epidemiology, and Data Science, Sanofi, Lyon, France.,Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Darya Pokutnaya
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Salaheddin M Mahmud
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Joshua Nealon
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Global Medical Evidence Generation, Sanofi, Lyon, France
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26
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Riester MR, Bosco E, Manthana R, Eliot M, Bardenheier BH, Silva JB, van Aalst R, Chit A, Loiacono MM, Gravenstein S, Zullo AR. Relationships between Community Virus Activity and Cardiorespiratory Rehospitalizations From Post-Acute Care. J Am Med Dir Assoc 2022; 23:1418-1423.e7. [PMID: 35085507 PMCID: PMC9308831 DOI: 10.1016/j.jamda.2021.12.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 11/28/2022]
Abstract
Objectives: Quantify the relationship between increasing influenza and respiratory syncytial virus (RSV) community viral activity and cardiorespiratory rehospitalizations among older adults discharged to skilled nursing facilities (SNFs). Design: Retrospective cohort. Setting and Participants: Adults aged ≥65 years who were hospitalized and then discharged to a US SNF between 2012 and 2015. Methods: We linked Medicare Provider Analysis and Review claims to Minimum Data Set version 3.0 assessments, PRISM Climate Group data, and the Centers for Disease Control and Prevention viral testing data. All data were aggregated to US Department of Health and Human Services regions. Negative binomial regression models quantified the relationship between increasing viral activity for RSV and 3 influenza strains (H1N1pdm09, H3N2, and B) and cardiorespiratory rehospitalizations from SNFs. Incidence rate ratios described the relationship between a 5% increase in circulating virus and the rates of rehospitalization for cardiorespiratory outcomes. Analyses were repeated using the same model, but influenza and RSV were considered “in season” or “out of season” based on a 10% positive testing threshold. Results: Cardiorespiratory rehospitalization rates increased by approximately 1% for every 5% increase in circulating influenza A(H3N2), influenza B, and RSV, but decreased by 1% for every 5% increase in circulating influenza A(H1N1pdm09). When respiratory viruses were in season (vs out of season), cardiorespiratory rehospitalization rates increased by approximately 6% for influenza A(H3N2), 3% for influenza B, and 5% for RSV, but decreased by 6% for influenza A(H1N1pdm09). Conclusions and Implications: The respiratory season is a particularly important period to implement interventions that reduce cardiorespiratory hospitalizations among SNF residents. Decreasing viral transmission in SNFs through practices such as influenza vaccination for residents and staff, use of personal protective equipment, improved environmental cleaning measures, screening and testing of residents and staff, surveillance of viral activity, and quarantining infected individuals may be potential strategies to limit viral infections and associated cardiorespiratory rehospitalizations.
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27
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Silva JBB, Bosco E, Riester MR, McConeghy KW, Moyo P, van Aalst R, Bardenheier BH, Gravenstein S, Baier R, Loiacono MM, Chit A, Zullo AR. Geographic variation in influenza vaccination among U.S. nursing home residents: A national study. J Am Geriatr Soc 2021; 69:2536-2547. [PMID: 34013979 PMCID: PMC8242857 DOI: 10.1111/jgs.17270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/27/2021] [Accepted: 04/28/2021] [Indexed: 11/26/2022]
Abstract
Objectives Estimates of influenza vaccine use are not available at the county level for U.S. nursing home (NH) residents but are critically necessary to guide the implementation of quality improvement programs aimed at increasing vaccination. Furthermore, estimates that account for differences in resident characteristics between counties are unavailable. We estimated risk‐standardized vaccination rates (RSVRs) among short‐ and long‐stay NH residents by U.S. county and identified drivers of geographic variation. Methods We conducted a retrospective cohort study utilizing 100% of 2013–2015 fee‐for‐service Medicare claims, Minimum Data Set assessments, Certification and Survey Provider Enhanced Reports, and Long‐Term Care: Facts on Care in the U.S. We separately evaluated short‐stay (<100 days) and long‐stay (≥100 days) residents aged 65 and older across the 2013–2014 and 2014–2015 influenza seasons. We estimated RSVRs via hierarchical logistic regression adjusting for 32 resident‐level covariates. We then used multivariable linear regression models to assess associations between county‐level NHs predictors and RSVRs. Results The study cohort consisted of 2,817,217 residents in 14,658 NHs across 2798 counties. Short‐stay residents had lower RSVRs than long‐stay residents (2013–2014: median [interquartile range], 69.6% [62.8–74.5] vs 84.0% [80.8–86.4]), and there was wide variation within each population (range, 11.4–89.8 vs 49.1–92.6). Several modifiable facility‐level characteristics were associated with increased RSVRs, including higher registered nurse to total nurse ratio and higher total staffing for licensed practical nurses, speech‐language pathologists, and social workers. Characteristics associated with lower RSVRs included higher percentage of residents restrained, with a pressure ulcer, and NH‐level hospitalizations per resident‐year. Conclusions Substantial county‐level variation in influenza vaccine use exists among short‐ and long‐stay NH residents. Quality improvement interventions to improve vaccination rates can leverage these results to target NHs located in counties with lower risk‐standardized vaccine use.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Rosa Baier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Matthew M Loiacono
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
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28
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Loiacono MM, Nelson CB, Grootendorst P, Webb MD, Lee Hall L, Kwong JC, Mitsakakis N, Zulueta S, Chit A. Impact of a peer comparison intervention on seasonal influenza vaccine uptake in community pharmacy: A national cluster randomized study. J Am Pharm Assoc (2003) 2021; 61:539-546.e5. [PMID: 33931353 DOI: 10.1016/j.japh.2021.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 04/03/2021] [Accepted: 04/05/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Seasonal influenza vaccine (SIV) uptake in the United States remains suboptimal, requiring new and innovative strategies. OBJECTIVE To evaluate the impact of a behavioral peer comparison (PC) intervention on SIV uptake in community pharmacies across the United States. METHODS A cluster randomized study was conducted across a national network of Walmart community pharmacies (> 4500 sites) during the 2019-2020 influenza season. The clusters consisted of 416 markets, each containing an average of 11 pharmacies. All pharmacies in a market were randomly assigned to either no intervention or the PC intervention, a software-delivered communication informing on-site staff, including pharmacists and pharmacy technicians, of their pharmacy's weekly performance, measured as SIV doses administered, compared with that of peer pharmacies within their market. The outcome was the pharmacy-level cumulative SIV doses administered during the intervention period (September 1, 2019,-February 29, 2020). Linear regression models were used to estimate the PC impact, with multiway cluster-robust SEs estimated by market and state. RESULTS A total of 4589 pharmacies were enrolled in the study, with 2297 (50.1%) randomized to the control group and 2292 (49.9%) randomized to the PC intervention group. Overall, compared with the control pharmacies, the PC pharmacies administered 3.7% (95% CI -0.3% to 7.9%) additional SIV doses. Among large-format pharmacies, the PC pharmacies administered 4.1% (95% CI 0.1%-8.3%) additional SIV doses compared with the controls. Historically low-performing large-format PC pharmacies administered 6.1% (95% CI 0.5%-11.9%) additional SIV doses compared with the controls. No statistically significant treatment effects were observed among small-format pharmacies. CONCLUSION Our findings demonstrate that PCs can improve SIV uptake among large-format community pharmacies, with historically low-performing pharmacies potentially exhibiting the greatest relative impact. Wide-scale implementation of PCs in community pharmacies may help to further improve SIV uptake in these settings.
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29
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Riester MR, Bosco E, Bardenheier BH, Moyo P, Baier RR, Eliot M, Silva JB, Gravenstein S, van Aalst R, Chit A, Loiacono MM, Zullo AR. Decomposing Racial and Ethnic Disparities in Nursing Home Influenza Vaccination. J Am Med Dir Assoc 2021; 22:1271-1278.e3. [PMID: 33838115 DOI: 10.1016/j.jamda.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/19/2021] [Accepted: 03/01/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Quantify how observable characteristics contribute to influenza vaccination disparities among White, Black, and Hispanic nursing home (NH) residents. DESIGN Retrospective cohort. SETTING AND PARTICIPANTS Short- and long-stay U.S. NH residents aged ≥65 years. METHODS We linked Minimum Data Set (MDS) and Medicare data to LTCFocUS and other facility data. We included residents with 6-month continuous enrollment in Medicare and an MDS assessment between October 1, 2013, and March 31, 2014. Residents were classified as short-stay (<100 days in NH) or long-stay (≥100 days in NH). We fit multivariable logistic regression models to assess the relationships between 27 resident and NH-level characteristics and receipt of influenza vaccination. Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparity in influenza vaccination between White versus Black and White versus Hispanic NH residents. Analyses were repeated separately for short- and long-stay residents. RESULTS Our study included 630,373 short-stay and 1,029,593 long-stay residents. Proportions vaccinated against influenza included 67.2% of White, 55.1% of Black, and 54.5% of Hispanic individuals among short-stay residents and 84.2%, 76.7%, and 80.8%, respectively among long-stay residents. Across 4 comparisons, the crude disparity in influenza vaccination ranged from 3.4 to 12.7 percentage points. By equalizing 27 prespecified characteristics, these disparities could be reduced 37.7% to 59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors across all analyses. Characteristics unmeasured in our data (eg, NH staff attitudes and beliefs) may have also contributed significantly to the disparity. CONCLUSIONS AND IMPLICATIONS The racial/ethnic disparity in influenza vaccination was most dramatic among short-stay residents. Intervening on factors associated with NH quality would likely reduce these disparities; however, future qualitative research is essential to explore potential contributors that were unmeasured in our data and to understand the degree to which these factors contribute to the overall disparity in influenza vaccination.
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Affiliation(s)
- Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Rosa R Baier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Center for Long-Term Care Quality and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Melissa Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Joe B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Robertus van Aalst
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Matthew M Loiacono
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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Loiacono MM, Pool V, van Aalst R. DTaP combination vaccine use and adherence: A retrospective cohort study. Vaccine 2021; 39:1064-1071. [PMID: 33483215 DOI: 10.1016/j.vaccine.2021.01.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/22/2020] [Accepted: 01/04/2021] [Indexed: 11/24/2022]
Abstract
Despite universal recommendation of the 4-dose diphtheria, tetanus, and pertussis (DTaP) vaccine series, coverage and timeliness in the US remain suboptimal. DTaP-containing combination vaccines (i.e. quadrivalent and pentavalent) are presumed to improve vaccine coverage rates and timeliness, but research supporting this claim is limited. We sought to investigate the associations between DTaP-containing vaccine use and adherence to the recommended DTaP immunization schedule among children in the US. Using a large claims database, we identified privately insured children born between 2009 and 2016 that received ≥1 DTaP-containing vaccine and had ≥24 months of enrollment from birth, excluding those with DTaP vaccinations not aligned with approved dose indications. Children were classified by DTaP-containing vaccine receipt: combination vaccines only, stand-alone vaccines only, or a mixture of both. Outcome measures included: 1) completion of the 4-dose series and 2) timely receipt of doses. Outcomes were adjusted for gender, birth year, race, and socioeconomic status. The study cohort contained 412,441 children. Of these, 40.5% (167,084) received combination vaccines only, 14.9% (61,342) received stand-alone vaccines only, and 44.6% (184,015) received a mixture of both. Combination vaccine recipients were nearly 3 times as likely to complete the 4-dose series (OR 2.93 (95% CI: 2.88, 2.99)) and for all doses received, more than 4 times as likely to receive doses on time (OR 4.12 (4.04, 4.21), relative to stand-alone vaccine recipients. Significance disparities in adherence were also observed, where minorities were up to 30% less likely (OR 0.70 (0.68, 0.71)) to complete the 4-dose series and up to 27% less likely (OR 0.73 (0.72, 0.75)) to receive doses on time, relative to white children. Our findings demonstrated that adherence to the recommended DTaP immunization schedule was significantly greater among combination vaccine recipients, relative to stand-alone recipients. Further research is needed to investigate underlying causes of disparities in adherence.
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Affiliation(s)
- Matthew M Loiacono
- Sanofi Pasteur, 1 Discovery Drive, Swiftwater, PA 18370, USA; Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College Street, Ontario M5S 3M2, Canada.
| | - Vitali Pool
- Sanofi Pasteur, 1 Discovery Drive, Swiftwater, PA 18370, USA
| | - Robertus van Aalst
- Sanofi Pasteur, 1 Discovery Drive, Swiftwater, PA 18370, USA; University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
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Loiacono MM, Pool V, Van Aalst R. 1388. DTaP-containing combination vaccines use and adherence to the recommended infant-toddler vaccination series among privately insured children in the US. Open Forum Infect Dis 2020. [PMCID: PMC7777121 DOI: 10.1093/ofid/ofaa439.1570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background Despite universal recommendation of the 3 + 1 diphtheria, tetanus, and pertussis (DTaP) vaccine series in infants and toddlers, adherence (i.e. coverage and timeliness) remain suboptimal in the US. DTaP-containing combination vaccines are presumed to improve vaccine coverage rates and timeliness, but research on this topic is limited. The purpose of this study was to compare adherence to the recommended infant-toddler vaccination series between recipients of DTaP-containing combination vaccines (i.e. quadrivalent/pentavalent) and stand-alone vaccines (i.e. trivalent). Methods We used the Optum de-identified Clinformatics Data Mart database to create a cohort of children born between 2009 and 2016 with > 24 months of continuous enrollment from birth, and records of > 1 DTaP vaccine receipt. Patients were classified by DTaP-containing vaccine receipt: combination vaccines only, stand-alone vaccines only, or a mixture of both. The primary adherence outcome was completion of the 4-dose series within 20 months of life. We adjusted outcomes for gender, birth year, race, and socioeconomic status via a logistic regression model. Results The cohort contained 200,568 female (48.6%) and 211,882 male (51.4%) children. Of these children, 167,091 received combination vaccines only (40.5%), 61,342 received stand-alone vaccines only (14.9%), and 184,017 received a mixture of both (44.6%). Completion of the 4-dose series was highest among children who received combination vaccines only (75.5%), followed by those who received a mixture of vaccines (72.7%) and those who received stand-alone vaccines only (54.5%). Relative to those who received stand-alone vaccines only, adjusted odds of completion were approximately 2.9 times higher among combination vaccine recipients (odds ratio, OR = 2.93 [95% CI: 2.87, 2.98]) and 2.5 times higher among those who received a mixture of vaccines (OR = 2.54 [2.49, 2.59]). Conclusion DTaP-containing combination vaccine use was associated with significantly greater adherence. Although these results warrant further investigation to better understand the determinants of infant vaccination adherence, such evidence may further support preferential recommendations for combination vaccine use. Disclosures Matthew M. Loiacono, MSc, Sanofi Pasteur (Employee) Vitali Pool, MD, Sanofi Pasteur (Employee) Robertus Van Aalst, MSc, Sanofi Pasteur (Employee)
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Loiacono MM, Mitsakakis N, Kwong JC, Gomez GB, Chit A, Grootendorst P. Development and Validation of a Clinical Prediction Tool for Seasonal Influenza Vaccination in England. JAMA Netw Open 2020; 3:e207743. [PMID: 32597991 PMCID: PMC7324952 DOI: 10.1001/jamanetworkopen.2020.7743] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
IMPORTANCE Timely identification of patients likely to miss seasonal influenza vaccination (SIV) could help health care practitioners tailor services and gain efficiency. OBJECTIVE To develop and validate a predictive model of SIV uptake among at-risk adults. DESIGN, SETTING, AND PARTICIPANTS This prognostic study constructed a prediction model for vaccine uptake by adults at increased risk of influenza-associated complications. Drawing from the Clinical Practice Research Datalink database's records of primary care data of 324 284 adults routinely collected at general practices across England from January 2011 to December 2016, logistic regression models were trained on data from patients registered from January 2012 to December 2013 and validated with out-of-sample data from patients registered from January 2015 to December 2016. Data were extracted from the database December 2018 and analyzed between September 2019 and December 2019. EXPOSURES Covariates included sex, age, race/ethnicity, smoking status, socioeconomic status, previous pneumococcal vaccination, prior season SIV uptake, and clinical risk conditions. MAIN OUTCOMES AND MEASURES The main outcome was patient-level SIV uptake. Model performance was measured via misclassification rate, Brier score, sensitivity, specificity, and area under the curve. RESULTS The training data sets consisted of 324 284 (aged 18 to 64 years) and 186 426 (aged 65 years or older) patients. The mean (SD) age in the training data among patients aged 18 to 64 years was 45 (13) years; 161 487 (49.8%) were women, and 102 133 (31.5%) were categorized as white. Among patients aged 65 years or older, the mean (SD) age was 77 (8) years; 96 169 (51.6%) were women, and 64 996 (34.9%) were categorized as white. The validation data sets consisted of 35 210 patients aged 18 to 64 years and 25 497 aged 65 years or older. The mean (SD) age in the validation data set among patients aged 18 to 64 years was 42 (14) years; 17 296 (49.1%) were women, and 13 346 (37.9%) were categorized as white. Among patients aged 65 years or older, the mean (SD) age was 73 (8) years; 13 135 (51.5%) were women, and 9641 (37.8) were categorized as white. Among patients aged 18 to 64 years, SIV uptake was 35.9% (95% CI, 35.7%-36.0%) and 32.6% (95% CI, 32.1%-33.1%) for the training and validation data sets, respectively. Among patients aged 65 years or older, SIV uptake was 83.1% (95% CI, 82.9%-83.2%) and 76.1% (95% CI, 75.5%-76.6%) for the training and validation data sets, respectively. Prior season SIV uptake and pneumococcal vaccination status were the best predictors of SIV uptake. Predicted SIV uptake probabilities for patients aged 18 to 64 years were reliable, but biased toward underpredicting, whereas, among patients aged 65 years or older, they were variable and biased toward overpredicting. Briefly, in out-of-sample validation among patients aged 18 to 64 years, misclassification rates were 0.163 to 0.164, Brier scores were 0.124 to 0.125, area under the receiver operating characteristic curve values ranged from 0.876 to 0.877, sensitivity ranged from 0.705 to 0.720, and specificity ranged from 0.896 to 0.902. In patients aged 65 years or older, misclassification rates were 0.120 to 0.125, Brier scores were 0.0953 to 0.0959, area under the receiver operating characteristic curve was 0.877, sensitivity ranged from 0.919 to 0.936, and specificity ranged from 0.680 to 0.753. CONCLUSIONS AND RELEVANCE This study suggests that data obtained from primary care records could accurately predict SIV uptake among at-risk adults. Further research is needed to assess the feasibility and efficacy of implementing this model in clinical settings.
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Affiliation(s)
- Matthew M. Loiacono
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, Pennsylvania
- Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada
| | | | - Jeffrey C. Kwong
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Ontario, Canada
| | - Gabriela B. Gomez
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Lyon, France
- London School of Hygiene and Tropical Medicine, Department of Global Health and Development, London, United Kingdom
| | - Ayman Chit
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, Pennsylvania
- Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada
| | - Paul Grootendorst
- Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada
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Smith AM, LaValva SM, Loiacono MM, Thompson JT. Suction adhesion in the gliding joint of a cephalopod. ACTA ACUST UNITED AC 2020; 223:jeb.211227. [PMID: 31852756 DOI: 10.1242/jeb.211227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 12/11/2019] [Indexed: 11/20/2022]
Abstract
We have discovered features of the nuchal joint in the squid, Doryteuthis pealeii, that are unique compared with moveable joints in other animals. The joint's function is unclear but it allows the head to glide toward and away from the mantle. The head glides along the joint with ease yet disarticulating the joint perpendicular to the axis of movement requires considerable force. After disarticulation, the joint components can be repositioned and full function restored immediately. Thus, an unknown attachment mechanism prevents the joint from being disarticulated yet permits gliding. We show that the joint was formed by the articulation of the nuchal cartilage and a heretofore-undescribed organ that we named the nuchal 'joint pad'. The joint pad is composed predominantly of muscle, connective tissue and cartilage organized into two distinct regions: a ventral cartilaginous layer and a dorsal muscular layer. Disarticulating the nuchal joint at a displacement rate of 5 mm s-1 required 1.5 times greater stress (i.e. force per unit area) than at 1 mm s-1 The force required to disarticulate the joint increased with nuchal cartilage area0.91 and with nuchal cartilage length1.88 The stress required to shear the nuchal joint was nearly three orders of magnitude lower than that required to disarticulate the joint. Stimulation of the joint pad dorso-ventral musculature resulted in significantly greater shear force required to move the joint (P=0.004). Perforating the nuchal cartilage decreased the stress required to disarticulate the joint to nearly zero. The results support the hypothesis that suction is the attachment mechanism.
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Affiliation(s)
- Andrew M Smith
- Department of Biology, Ithaca College, 953 Danby Road, Ithaca, NY 14850, USA
| | - Scott M LaValva
- Department of Biology, Franklin & Marshall College, PO Box 3003, Lancaster, PA 17604-3003, USA
| | - Matthew M Loiacono
- Department of Biology, Franklin & Marshall College, PO Box 3003, Lancaster, PA 17604-3003, USA
| | - Joseph T Thompson
- Department of Biology, Franklin & Marshall College, PO Box 3003, Lancaster, PA 17604-3003, USA
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Loiacono MM, Mahmud SM, Chit A, van Aalst R, Kwong JC, Mitsakakis N, Skinner L, Thommes E, Bricout H, Grootendorst P. Patient and practice level factors associated with seasonal influenza vaccine uptake among at-risk adults in England, 2011 to 2016: An age-stratified retrospective cohort study. Vaccine X 2020; 4:100054. [PMID: 32072152 PMCID: PMC7011080 DOI: 10.1016/j.jvacx.2020.100054] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/23/2019] [Accepted: 01/09/2020] [Indexed: 11/08/2022] Open
Abstract
Disparities in uptake by ethnicity, varying by age, were evident. Older adults with higher socioeconomic deprivation were less likely to be vaccinated. Patients with morbid obesity had the lowest odds of being vaccinated. Patients who had more annual GP consultations were more likely to be vaccinated.
We sought to gain insights into the determinants of seasonal influenza vaccine (SIV) uptake by conducting an age-stratified analysis (18–64 and 65+) of factors associated with SIV uptake among at-risk adults registered to English practices. Records for at-risk English adults between 2011 and 2016 were identified using the Clinical Practice Research Datalink database. SIV uptake was assessed annually. The associations of patient, practice, and seasonal characteristics with SIV uptake were assessed via cross-sectional and longitudinal analyses, using mixed-effects and general estimating equation logistic regression models. Overall SIV uptake was 35.3% and 74.0% for adults 18–64 and 65+, respectively. Relative to white patients, black patients were least likely to be vaccinated (OR18-64: 0.82 (95% CI: 0.80, 0.85); OR65+: 0.59 (95% CI: 0.56, 0.62)), while Asian patients among 18–64 year olds were most likely to be vaccinated (OR18-64: 1.10 (95% CI: 1.07, 1.13)). Females were more likely than males to be vaccinated among 18–64 year olds (OR18-64: 1.19 (95% CI: 1.18, 1.20)). Greater socioeconomic deprivation was associated with decreased odds of uptake among older patients (OR65+: 0.74 (95% CI: 0.71, 0.77)). For each additional at-risk condition, odds of uptake increased (OR18-64: 2.33 (95% CI: 2.31, 2.36); OR65+: 1.39 (95% CI: 1.38, 1.39)). Odds of uptake were highest among younger patients with diabetes (OR18-64: 4.25 (95% CI: 4.18, 4.32)) and older patients with chronic respiratory disease (OR65+: 1.60 (95% CI: 1.58, 1.63)), whereas they were lowest among morbidly obese patients of all ages (OR18-64: 0.68 (95% CI: 0.67, 0.70); OR65+: 0.97 (95% CI: 0.94, 0.99)). Prior influenza season severity and vaccine effectiveness were marginally predictive of uptake. Our age-stratified analysis uncovered SIV uptake disparities by ethnicity, sex, age, socioeconomic deprivation, and co-morbidities, warranting further attention by GPs and policymakers alike.
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Key Words
- CPRD, Clinical Practice Research Datalink
- Clinical Practice Research Datalink
- Determinants
- GP, general practitioner
- General practice
- IMD, Index of Multiple Deprivations
- NHS, National Health Service
- PHE, Public Health England
- SES, socioeconomic status
- SIV, season influenza vaccine
- Seasonal influenza vaccine
- UK, United Kingdom
- VE, vaccine effectiveness
- Vaccine uptake
- WHO, World Health Organization
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Affiliation(s)
- Matthew M Loiacono
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, ON M5S 3M2, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0T5, Canada.,Vaccine and Drug Evaluation Centre, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0T5, Canada
| | - Ayman Chit
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, ON M5S 3M2, Canada.,Vaccine Epidemiology and Modeling, Sanofi Pasteur, 1 Discovery Dr, Swiftwater, PA 18370, United States
| | - Robertus van Aalst
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, 1 Discovery Dr, Swiftwater, PA 18370, United States.,Department of Health Sciences, University Medical Center Groningen, University of Groningen, 9700 AB Groningen, the Netherlands
| | - Jeffrey C Kwong
- ICES, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada.,Public Health Ontario, 480 University Ave #300, Toronto, ON M5G 1V2, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, ON M5T 3M7, Canada.,Department of Family & Community Medicine, University of Toronto, 500 University Ave, Toronto, ON M5G 1V7, Canada.,University Health Network, 101 College St, Toronto, ON M5G 1L7, Canada
| | - Nicholas Mitsakakis
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, ON M5T 3M7, Canada.,University Health Network, 101 College St, Toronto, ON M5G 1L7, Canada
| | - Luke Skinner
- Sanofi Pasteur, 410 Thames Valley Park Dr, Earley, Reading RG6 1RH, United Kingdom
| | - Edward Thommes
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, 1 Discovery Dr, Swiftwater, PA 18370, United States.,Department of Mathematics & Statistics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada
| | - Hélène Bricout
- Sanofi Pasteur, 14 Espace Henry Vallée, 69007 Lyon, France
| | - Paul Grootendorst
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, ON M5S 3M2, Canada
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Abstract
Some striated muscles are multifunctional; they serve several different roles during locomotion and movement, including acting as motors, brakes, struts, or springs. The few multifunctional muscles that have been reported occur in the cross-striated muscles of animals with complex, jointed, skeletal support systems. In the comparatively simple muscular system of a cephalopod mollusc, we identified an obliquely striated muscle, the nuchal retractor muscle, which appears to be multifunctional. The nuchal retractor is composed of two different fiber types, mitochondria-rich (MR) and mitochondria-poor (MP) fibers; shortening of these fibers retracts the head toward the mantle. Synchronized measurements of head movement (as a proxy for nuchal retractor length) and muscle activation revealed that, while the MP nuchal retractor muscle fibers were activated only for head retractions that occurred during escape jet locomotion, the MR fibers were activated 1) as the head retracted during escape jets and a few jets used during slow swimming, 2) during brief periods of head stasis as the animal changed swimming direction, and 3) during the rapid head extensions that followed an escape jet. Our results suggest that the nuchal retractor muscle may function as a motor, a brake, and, occasionally, a strut. More broadly, our findings suggest that multifunctionality is not restricted to cross-striated fibers or to the muscles of animals with jointed skeletal support systems.
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