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Zheng X, Wang T, Hao H, D'Souza RR, Strickland MJ, Warren JL, Darrow LA, Chang HH. Influenza Activity and Preterm Birth in the Atlanta Metropolitan Area: A Time-Series Analysis from 2010 to 2017. Epidemiology 2025; 36:141-148. [PMID: 39588975 PMCID: PMC11785485 DOI: 10.1097/ede.0000000000001819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2024]
Abstract
BACKGROUND Annual influenza epidemics lead to a substantial public health burden, and pregnant people are vulnerable to severe outcomes. Influenza during pregnancy is hypothesized to increase the risk of adverse birth outcomes, but population-based epidemiologic evidence remains limited and inconsistent. METHODS We conducted a time-series analysis to estimate short-term associations between community-level seasonal influenza activity and daily counts of preterm births in Atlanta, United States from October 17, 2010 to July 10, 2017. We defined weekly influenza exposures four ways: (1) percent test-positive from virologic surveillance, (2) percent of patients with symptoms of influenza-like illness (ILI) in outpatient settings, (3) a composite measure of percent test-positive and ILI, and (4) influenza hospitalization rates. We used Poisson log-linear models to estimate associations, adjusting for time-varying confounders and ongoing at-risk pregnancies. We further examined associations by influenza type and exposure lags and effect modification by maternal characteristics. RESULTS We studied a total of 316,253 births. We found consistent positive associations between influenza activity and preterm birth across different exposure measures and exposure lags. An interquartile range increase in a composite measure of ILI activity and percent test-positive was associated with a 1.014 (95% confidence interval: 1.001-1.027) increase in preterm birth during the same week. In stratified analyses, associations were more pronounced among married, non-Black, and Hispanic pregnant people. CONCLUSION Periods of high influenza activity were associated with an increased risk of preterm birth.
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Affiliation(s)
- Xiaping Zheng
- From the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
| | - Tingyu Wang
- From the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
| | - Hua Hao
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University
| | - Rohan R D'Souza
- From the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
| | | | - Joshua L Warren
- Department of Biostatistics, School of Public Health, Yale University
| | | | - Howard H Chang
- From the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University
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Lassen MCH, Johansen ND, Vaduganathan M, Bhatt AS, Modin D, Chatur S, Claggett BL, Janstrup KH, Larsen CS, Larsen L, Wiese L, Dalager-Pedersen M, Køber L, Solomon SD, Sivapalan P, Jensen JUS, Martel CJM, Krause TG, Biering-Sørensen T. Electronic Nudge Letters to Increase Influenza Vaccination Uptake in Younger and Middle-Aged Individuals With Diabetes. JACC. ADVANCES 2024; 3:101391. [PMID: 39606218 PMCID: PMC11600668 DOI: 10.1016/j.jacadv.2024.101391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 09/17/2024] [Indexed: 11/29/2024]
Abstract
Background Despite evidence demonstrating that influenza vaccination is associated with reduced risk of cardiovascular events and all-cause mortality in individuals with diabetes mellitus (DM), vaccine uptake remains suboptimal. Objectives The purpose of this study was to assess the effectiveness of electronically delivered nudges on influenza vaccine uptake according to the presence of DM status versus other chronic diseases. Methods NUDGE-FLU-CHRONIC was a nationwide, randomized, pragmatic implementation trial among younger and middle-aged (18-64 years) Danish citizens with chronic disease during the 2023/2024 influenza season. Participants were randomized in a 2.45:1:1:1:1:1:1 ratio to usual care (no electronic letter) or 1 of 6 different electronic nudge letters. The endpoint was receipt of a seasonal influenza vaccine on or before January 1, 2024. Results Of 299,881 participants, 57,666 (19.2%) had DM (median age: 51.6 years, 43.0% female). During the season, 43.0% of those with DM vs 34.6% of those without DM received the vaccine (P < 0.001). Any electronic letter vs usual care was highly effective in increasing vaccine uptake in participants with DM (45.6% vs 36.5%, difference: +9.1 percentage points [99.29% CI: 7.9-10.3], relative risk ratio: 1.42 [99.29% CI: 1.39-1.44]). However, DM status modified the effect of the interventions such that participants without DM at baseline experienced a greater relative gain than those with DM (37.3% vs 25.9%, difference: +12.3 percentage points [99.29% CI: 11.7-12.8], risk ratio: 1.47 [99.29% CI: 1.45-1.50]; P interaction<0.001). Conclusions Electronic nudge letters effectively boosted vaccine uptake in individuals with DM and in individuals free of DM but with other chronic diseases, but the effect was lower among those with DM. Electronic nudges represent a low-cost and effective strategy to boost influenza vaccination rates in the DM population. (Nationwide Utilization of Danish Government Electronic Letter System for Increasing InFLUenza Vaccine Uptake Among Adults With Chronic Disease; NCT06030739).
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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
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ankeet S. Bhatt
- Kaiser Permanente San Francisco Medical Center & Division of Research, San Francisco, California, USA
- Stanford University School of Medicine, Palo Alto, California, 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
| | - Safia Chatur
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Brian L. Claggett
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kira Hyldekær Janstrup
- 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
| | - Lykke Larsen
- Research Unit for Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Lothar Wiese
- Department of Infectious Diseases, Zealand University Hospital, Roskilde, Denmark
| | - Michael Dalager-Pedersen
- Department of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University Hospital, Aalborg, 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
| | - Scott D. Solomon
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Cardiometabolic Implementation Science, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Pradeesh Sivapalan
- 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
| | - 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
| | - 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
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
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3
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Liu G, Pang Y, Lv M, Lu M, Huang Y, Ge F, Ma S, Qiu Y. Effectiveness of influenza vaccination on hospitalization outcomes among older patients with diabetes. Vaccine 2024; 42:126142. [PMID: 39019658 DOI: 10.1016/j.vaccine.2024.07.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/12/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
OBJECTIVE In older populations admitted for diabetes, limited evidence suggests that influenza vaccination protects against hospitalization outcomes. METHODS This study pooled 27,620 hospitalizations recorded for elderly diabetes patients from the Beijing Elderly Influenza Vaccination Information Registration Database (2013-2018) and the Beijing Urban Employee Basic Medical Insurance Database (2013-2018). Generalized linear regression and propensity score matching were conducted to estimate the effects of influenza vaccination on hospitalization outcomes (in-hospital all-cause mortality, readmission, length and costs of hospitalization), adjusting for measurable confounding factors. The low influenza period (May-July) was used as a reference period to adjust for unmeasured confounding factors during the peak influenza period (November-January). RESULTS In propensity score matching, influenza vaccination in peak influenza period could reduce the risk of in-hospital death (OR: 0.47[0.22,0.97]) and readmission (OR: 0.70[0.60,0.81]), length of hospitalization (β: -1.32[-1.47, -1.17]) and medical costs (GMR: 0.90[0.88,0.92]). After adjusting for unmeasured confounding factors, influenza vaccination was associated with 17% (ratio of ORs: 0.83 [0.69, 1.02]) lower risk of readmission and shorter length of hospitalization (difference in β: -0.23 [-0.62, 0.16]). The subgroup analyses showed that male patients with older age and poorer health conditions could benefit more after influenza vaccination. CONCLUSION Influenza vaccination could significantly improve hospitalization outcomes in elderly diabetic patients. This provides evidence supporting free influenza vaccination policies for vulnerable populations in low- and middle-income countries.
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Affiliation(s)
- Guangqi Liu
- Department of Global Health, School of Public Health, Peking University, Beijing. China; Energy Saving & Environmental Protection & Occupational Safety and Health Research Institute, China Academy of Railway Sciences Co., Ltd, Beijing 100081, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing. China
| | - Min Lv
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing. China
| | - Ming Lu
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Yangmu Huang
- Department of Global Health, School of Public Health, Peking University, Beijing. China.
| | - Fei Ge
- Energy Saving & Environmental Protection & Occupational Safety and Health Research Institute, China Academy of Railway Sciences Co., Ltd, Beijing 100081, China
| | - Shiwei Ma
- Energy Saving & Environmental Protection & Occupational Safety and Health Research Institute, China Academy of Railway Sciences Co., Ltd, Beijing 100081, China.
| | - Yongxiang Qiu
- Energy Saving & Environmental Protection & Occupational Safety and Health Research Institute, China Academy of Railway Sciences Co., Ltd, Beijing 100081, China
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4
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Cilloniz C, Torres A. Diabetes Mellitus and Pneumococcal Pneumonia. Diagnostics (Basel) 2024; 14:859. [PMID: 38667504 PMCID: PMC11049506 DOI: 10.3390/diagnostics14080859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Currently, there are more than 500 million people suffering from diabetes around the world. People aged 65 years or older are the most affected by this disease, and it is estimated that approximately 96% of diabetes cases worldwide are type 2 diabetes. People with diabetes mellitus are at an increased risk of infections such as pneumonia, due to a series of factors that may contribute to immune dysfunction, including hyperglycemia, inhibition of neutrophil chemotaxis, impaired cytokine production, phagocytic cell dysfunction, altered T cell-mediated immune responses and the co-existence of chronic comorbidities. Rates of infection, hospitalization and mortality in diabetic patients are reported to be higher than in the general population. Research into the risk of infectious diseases such as pneumonia in these patients is very important because it will help improve their management and treatment.
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Affiliation(s)
- Catia Cilloniz
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain;
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Faculty of Health Sciences, Continental University, Huancayo 12001, Peru
| | - Antoni Torres
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain;
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Pulmonary Department, Hospital Clinic of Barcelona, C/Villarroel 170, 08036 Barcelona, Spain
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5
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Alqifari SF, Esmail AK, Alarifi DM, Alsuliman GY, Alhati MM, Mutlaq MR, Aldhaeefi M, Alshuaibi SA, Amirthalingam P, Abdallah A, Wasel AS, Hamad HR, Alamin S, Atia TH, Alqahtani T. Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia: A multicenter retrospective study. World J Diabetes 2024; 15:440-454. [PMID: 38591075 PMCID: PMC10999047 DOI: 10.4239/wjd.v15.i3.440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/03/2024] [Accepted: 02/18/2024] [Indexed: 03/15/2024] Open
Abstract
BACKGROUND Patients with diabetes mellitus (DM) are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe complications. The Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices (CDC/ACIP) issued immunization re-commendations to protect this patient population. AIM To assess the adherence of patients with DM to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence rate. METHODS An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online survey. RESULTS Among participants, 10.01% (n = 71) had never received any vaccine, while 85.89% (n = 609) received at least one dose of the coronavirus disease 2019 (COVID-19) vaccine, and 34.83% (n = 247) had received the annual influenza vaccine. Only 2.96% (n = 21), 2.11% (n = 15), and 1.12% (n = 8) received herpes zoster, tetanus, diphtheria, and pertussis (Tdap), and human papillomavirus (HPV) vaccines, respectively. For patients with DM in Saudi Arabia, the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster, Tdap, pneumococcal, and HPV. Factors such as vaccine recommendations provided by family physicians or specialists, site of care, income level, DM-related hospitalization history, residency site, hemoglobin A1c (HbA1c) level, and health sector type can significantly influence the vaccination rate in patients with DM. Among non-vaccinated patients with DM, the most reported barriers were lack of knowledge and fear of side effects. This signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with DM. CONCLUSION In Saudi Arabia, patients with DM showed higher vaccination rates for annual influenza and COVID-19 vaccines compared to other vaccinations such as herpes zoster, Tdap, pneumococcal, and HPV. Factors such as vaccine recommendations provided by family physicians or specialists, the site of care, income level, DM-related hospitalization history, residency site, HbA1c level, and health sector type can significantly influence the vaccination rate in patients with DM.
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Affiliation(s)
| | - Aya K Esmail
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Dalal M Alarifi
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Ghalya Y Alsuliman
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Maram M Alhati
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - May R Mutlaq
- Department of Family Medicine, International Medical Center, Jeddah 23214, Saudi Arabia
| | - Mohammed Aldhaeefi
- Clinical and Administrative Pharmacy Sciences, College of Pharmacy, Howard University, Washington, DC 20059, United States
| | - Shaden A Alshuaibi
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | | | - Abrar Abdallah
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Afaf S Wasel
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Heba R Hamad
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Shoroq Alamin
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Tasneem H Atia
- Department of Clinical Sciences, Sulaiman Alrajhi University, Qassim 52726, Saudi Arabia
| | - Tariq Alqahtani
- Department of Pharmacology, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia
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6
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Muhammad Azami NA, Abdullah N, Kamalul Ariffin AS, Abdullah MS, Dauni A, Kamaruddin MA, Jamal R. Hepatitis B and influenza vaccination coverage in healthcare workers, the elderly, and patients with diabetes in Malaysia. Hum Vaccin Immunother 2023; 19:2170660. [PMID: 36728847 PMCID: PMC10012949 DOI: 10.1080/21645515.2023.2170660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Adult immunization remains to be a neglected issue in developing countries including Malaysia. This nationwide study determined the vaccination coverage of hepatitis B and influenza among Malaysia's healthcare workers (HCWs), the elderly (aged 60 y and above) and patients with diabetes, who are the participants of The Malaysia Cohort Program. The participants were categorized based on their occupation, age and medical history. Self-reported questionnaire was used to assess the participant's hepatitis B and influenza vaccination status. A Chi-square test and logistic regression analyses were performed to determine the risk factors associated with vaccination behavior. The hepatitis B vaccination coverage for healthcare workers, elderly, and patients with diabetes were 34.6%, 10.1% and 9.8%, respectively. The influenza vaccination coverage rates for healthcare workers, the elderly and patients with diabetes were 26.3%, 5.5% and 6.4%, respectively. The Chinese were more likely to be vaccinated against hepatitis B, while Malay was more likely to be vaccinated against influenza. Individuals with higher education and living in urban areas were more likely vaccinated than those with low education levels and who lived in rural areas. The low vaccination coverage for healthcare workers was alarming because hepatitis B and influenza were subsidized for the healthcare workers. The hepatitis B and influenza vaccination coverage among healthcare workers, elderly and patients with diabetes in Malaysia were low. Specific interventions such as educational and awareness programs should be conducted to increase the vaccination rate among adults, especially those at high risk.
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Affiliation(s)
| | - Noraidatulakma Abdullah
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | | | - Mohd Shaharom Abdullah
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Andri Dauni
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Mohd Arman Kamaruddin
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Rahman Jamal
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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7
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Wittman JT, Bullard KM, Benoit SR. Trends in Preventive Care Services Among U.S. Adults With Diagnosed Diabetes, 2008-2020. Diabetes Care 2023; 46:2285-2291. [PMID: 37844212 PMCID: PMC11299502 DOI: 10.2337/dc23-1119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/22/2023] [Indexed: 10/18/2023]
Abstract
OBJECTIVE Preventive care services are important to prevent or delay complications associated with diabetes. We report trends in receipt of six American Diabetes Association-recommended preventive care services during 2008-2020. RESEARCH DESIGN AND METHODS We used 2008-2020 data from the cross-sectional Medical Expenditures Panel Survey to calculate the proportion of U.S. adults ≥18 years of age with diagnosed diabetes who reported receiving preventive care services, overall and by subpopulation (n = 25,616). We used joinpoint regression to identify trends during 2008-2019. The six services completed in the past year included at least one dental examination, dilated-eye examination, foot examination, and cholesterol test; at least two A1C tests, and an influenza vaccine. RESULTS From 2008 to 2020, proportions of U.S. adults with diabetes receiving any individual preventive care service ranged from 32.6% to 89.9%. From 2008 to 2019, overall trends in preventive services among these adults were flat except for an increase in influenza vaccination (average annual percent change: 2.6% [95% CI 1.1%, 4.2%]). Trend analysis of subgroups was heterogeneous: influenza vaccination and A1C testing showed improvements among several subgroups, whereas cholesterol testing (patients aged 45-64 years; less than a high school education; Medicaid insurance) and dental visits (uninsured) declined. In 2020, 8.2% (95% CI 4.5%, 11.9%) of those with diabetes received none of the recommended preventive care services. CONCLUSIONS Other than influenza vaccination, we observed no improvement in preventive care service use among U.S. adults with diabetes. These data highlight services and specific subgroups that could be targeted to improve preventive care among adults with diabetes.
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Affiliation(s)
- Jacob T Wittman
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Kai McKeever Bullard
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Stephen R Benoit
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
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8
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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: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [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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Naderalvojoud B, Shah ND, Mutanga JN, Belov A, Staiger R, Chen JH, Whitaker B, Hernandez-Boussard T. Trends in Influenza Vaccination Rates among a Medicaid Population from 2016 to 2021. Vaccines (Basel) 2023; 11:1712. [PMID: 38006044 PMCID: PMC10675465 DOI: 10.3390/vaccines11111712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/28/2023] [Accepted: 11/03/2023] [Indexed: 11/26/2023] Open
Abstract
Seasonal influenza is a leading cause of death in the U.S., causing significant morbidity, mortality, and economic burden. Despite the proven efficacy of vaccinations, rates remain notably low, especially among Medicaid enrollees. Leveraging Medicaid claims data, this study characterizes influenza vaccination rates among Medicaid enrollees and aims to elucidate factors influencing vaccine uptake, providing insights that might also be applicable to other vaccine-preventable diseases, including COVID-19. This study used Medicaid claims data from nine U.S. states (2016-2021], encompassing three types of claims: fee-for-service, major Medicaid managed care plan, and combined. We included Medicaid enrollees who had an in-person healthcare encounter during an influenza season in this period, excluding those under 6 months of age, over 65 years, or having telehealth-only encounters. Vaccination was the primary outcome, with secondary outcomes involving in-person healthcare encounters. Chi-square tests, multivariable logistic regression, and Fisher's exact test were utilized for statistical analysis. A total of 20,868,910 enrollees with at least one healthcare encounter in at least one influenza season were included in the study population between 2016 and 2021. Overall, 15% (N = 3,050,471) of enrollees received an influenza vaccine between 2016 and 2021. During peri-COVID periods, there was an increase in vaccination rates among enrollees compared to pre-COVID periods, from 14% to 16%. Children had the highest influenza vaccination rates among all age groups at 29%, whereas only 17% were of 5-17 years, and 10% were of the 18-64 years were vaccinated. We observed differences in the likelihood of receiving the influenza vaccine among enrollees based on their health conditions and medical encounters. In a study of Medicaid enrollees across nine states, 15% received an influenza vaccine from July 2016 to June 2021. Vaccination rates rose annually, peaking during peri-COVID seasons. The highest uptake was among children (6 months-4 years), and the lowest was in adults (18-64 years). Female gender, urban residency, and Medicaid-managed care affiliation positively influenced uptake. However, mental health and substance abuse disorders decreased the likelihood. This study, reliant on Medicaid claims data, underscores the need for outreach services.
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Affiliation(s)
- Behzad Naderalvojoud
- Department of Medicine, Stanford University, Stanford, CA 94305, USA; (B.N.); (R.S.)
- Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, USA
| | - Nilpa D. Shah
- Department of Medicine, Stanford University, Stanford, CA 94305, USA; (B.N.); (R.S.)
- Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, USA
| | - Jane N. Mutanga
- Center for Biologics Evaluation and Research, Office of Biostatistics and Pharmacovigilance, U.S. Food and Drug Administration, Silver Spring, MD 20993, USA; (J.N.M.)
| | - Artur Belov
- Center for Biologics Evaluation and Research, Office of Biostatistics and Pharmacovigilance, U.S. Food and Drug Administration, Silver Spring, MD 20993, USA; (J.N.M.)
| | - Rebecca Staiger
- Department of Medicine, Stanford University, Stanford, CA 94305, USA; (B.N.); (R.S.)
| | - Jonathan H. Chen
- Department of Medicine, Stanford University, Stanford, CA 94305, USA; (B.N.); (R.S.)
- Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, USA
- Division of Hospital Medicine, Stanford, CA 94305, USA
- Clinical Excellence Research Center, Stanford, CA 94304, USA
| | - Barbee Whitaker
- Center for Biologics Evaluation and Research, Office of Biostatistics and Pharmacovigilance, U.S. Food and Drug Administration, Silver Spring, MD 20993, USA; (J.N.M.)
| | - Tina Hernandez-Boussard
- Department of Medicine, Stanford University, Stanford, CA 94305, USA; (B.N.); (R.S.)
- Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
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10
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Dicembrini I, Silverii GA, Clerico A, Fornengo R, Gabutti G, Sordi V, Tafuri S, Peruzzi O, Mannucci E. Influenza: Diabetes as a risk factor for severe related-outcomes and the effectiveness of vaccination in diabetic population. A meta-analysis of observational studies. Nutr Metab Cardiovasc Dis 2023; 33:1099-1110. [PMID: 37032254 DOI: 10.1016/j.numecd.2023.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/13/2023] [Accepted: 03/17/2023] [Indexed: 04/11/2023]
Abstract
AIMS In order to better define the need for influenza vaccination in people with diabetes (DM), we collected all available evidence on the effect of DM as a risk factor for complications of both seasonal and pandemic influenza, and on the specific effectiveness of vaccines in patients with DM. DATA SYNTHESIS Two distinct systematic searches on MEDLINE, Cochrane, ClinicalTrials.gov and Embase databases were performed, one for each metanalysis, collecting all observational studies and randomized clinical trials performed on humans up to May 31st, 2022. We retrieved 34 observational studies comparing risk for influenza complications in people with or without diabetes, and 13 observational studies assessing vaccine effectiveness on preventing such complications. Mortality for influenza and hospitalization for influenza and pneumonia resulted significantly higher in individuals with versus without DM, both when unadjusted and adjusted data are analyzed. In diabetic individuals vaccinated for influenza overall hospitalization, hospitalization for influenza or pneumonia and overall mortality are significantly lower in comparison with not vaccinated DM subjects, both when unadjusted and adjusted data were analyzed. CONCLUSION This systematic review and meta-analysis shows that: 1) influenza is associated with more severe complications in diabetic versus not diabetic individuals and 2) influenza vaccination is effective in preventing clinically relevant outcomes in adults with DM with a NNT (number needed to treat) of 60, 319, and 250 for all-cause hospitalization, specific hospitalization, and all-cause mortality, respectively. The identification of diabetic patients as the target of vaccination campaigns for influenza appears to be justified by available clinical evidence.
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Affiliation(s)
- Ilaria Dicembrini
- Experimental and Clinical Biomedical Sciences Mario Serio Department, University of Florence, Italy.
| | | | | | | | - Giovanni Gabutti
- Coordinator Working Group Vaccines and Immunization Policies, Italian Scientific Society of Hygiene, Preventive Medicine and Public Health (SItI), Italy
| | - Valeria Sordi
- Diabetes Research Institute, IRCCS San Raffaele Hospital, Milan, Italy
| | - Silvio Tafuri
- Interdisciplinary Department of Medicine, Aldo Moro, University of Bari, Italy
| | - Ottavia Peruzzi
- Experimental and Clinical Biomedical Sciences Mario Serio Department, University of Florence, Italy
| | - Edoardo Mannucci
- Experimental and Clinical Biomedical Sciences Mario Serio Department, University of Florence, Italy
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11
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Tiu A, Bansal S. Estimating county-level flu vaccination in the United States. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.10.23289756. [PMID: 37214921 PMCID: PMC10197794 DOI: 10.1101/2023.05.10.23289756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
In the United States, influenza vaccines are an important part of public health efforts to blunt the effects of seasonal influenza epidemics. This in turn emphasizes the importance of understanding the spatial distribution of influenza vaccination coverage. Despite this, high quality data at a fine spatial scale and spanning a multitude of recent flu seasons are not readily available. To address this gap, we develop county-level counts of vaccination across five recent, consecutive flu seasons and fit a series of regression models to these data that account for bias. We find that the spatial distribution of our bias-corrected vaccination coverage estimates is generally consistent from season to season, with the highest coverage in the Northeast and Midwest but is spatially heterogeneous within states. We also observe a negative relationship between a county's vaccination coverage and social vulnerability. Our findings stress the importance of quantifying flu vaccination coverage at a fine spatial scale, as relying on state or region-level estimates misses key heterogeneities.
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Affiliation(s)
- Andrew Tiu
- Department of Biology, Georgetown University, Washington, DC, USA
| | - Shweta Bansal
- Department of Biology, Georgetown University, Washington, DC, USA
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12
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Parekh T, Javed Z, Khan SU, Xue H, Nasir K. Disparities in Influenza Vaccination Coverage and Associated Factors Among Adults with Cardiovascular Disease, United States, 2011-2020. Prev Chronic Dis 2022; 19:E67. [PMID: 36302382 PMCID: PMC9616130 DOI: 10.5888/pcd19.220154] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
INTRODUCTION Influenza vaccination can reduce the incidence of cardiovascular disease (CVD) in the US. However, differences in state-level trends in CVD and sociodemographic and health care characteristics of adults with CVD have not yet been studied. METHODS In this repeated cross-sectional study, we extracted 476,227 records of adults with a self-reported history of CVD from the Behavioral Risk Factor Surveillance System from January 2011 through December 2020. We calculated the prevalence and likelihood of annual influenza vaccination by sociodemographic characteristics, health care characteristics, and CVD risk factors. Additionally, we examined annual trends of influenza vaccination by geographic location. RESULTS The annual age-adjusted influenza vaccination rate among adults with CVD increased from 38.6% (2011) to 44.3% (2020), with an annual average percentage change of 1.1%. Adults who were aged 18 to 44 years, male, non-Hispanic Black/African American, or Hispanic, or had less than a high school diploma, annual household income less than $50,000, and no health insurance had a lower prevalence of vaccination. The odds of vaccination were lower among non-Hispanic Black/African American (adjusted odds ratio, 0.73; 95% CI, 0.70-0.77) and non-Hispanic American Indian/Alaska Native (adjusted odds ratio, 0.86; 95% CI, 0.75-0.98) compared with non-Hispanic White adults. Only 16 states achieved a vaccination rate of 50%; no state achieved the Healthy People 2020 goal of 70%. Nonmedical settings (supermarkets, drug stores) gained popularity (19.2% in 2011 to 28.5% in 2018) as a vaccination setting. CONCLUSION Influenza vaccination among adults with CVD improved marginally during the past decade but is far behind the targeted national goals. Addressing existing disparities requires attention to the role of social determinants of health in determining access to vaccination, particularly among young people, racial and ethnic minority populations, people who lack health insurance, and people with comorbidities.
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Affiliation(s)
- Tarang Parekh
- Department of Health Administration and Policy, George Mason University, Fairfax, Virginia
- Center for Health Data Science and Analytics, Houston Methodist Hospital, 7550 Greenbriar Dr, Houston, TX 77030.
| | - Zulqarnain Javed
- Center for Health Data Science and Analytics, Houston Methodist Hospital, Houston, Texas
| | - Safi U Khan
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Hong Xue
- Department of Health Administration and Policy, George Mason University, Fairfax, Virginia
| | - Khurram Nasir
- Center for Health Data Science and Analytics, Houston Methodist Hospital, Houston, Texas
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
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13
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Influenza Vaccination Coverage among Multiple Sclerosis Patients: Evolution over Time and Associated Factors. Vaccines (Basel) 2022; 10:vaccines10071154. [PMID: 35891321 PMCID: PMC9322179 DOI: 10.3390/vaccines10071154] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/01/2022] [Accepted: 07/18/2022] [Indexed: 02/05/2023] Open
Abstract
Our objective was to determine the influenza vaccination rate in a Spanish cohort of multiple sclerosis (MS) patients. A retrospective cohort study was carried out. Patients who attended the MS unit of the Lozano Blesa Hospital of Zaragoza between January 2015 and 2020 were included. The variables were obtained by reviewing the specialized and primary care records. Associations between receiving the vaccine in each flu season and the other variables were analyzed using bivariate analysis and multiple logistic regression models. A total of 260 patients were studied, with a median age of 31 years at the time of diagnosis. A total of 62.3% (162/260) were women. Vaccination coverage ranged from 20.4% in the 2015−2016 and 2016−2017 seasons to 41.5% in the 2019−2020 season (p = 0.000). Having been vaccinated in the previous season (ORa: 16.47−390.22; p = 0.000) and receiving a vaccination recommendation from the hospital vaccination unit (ORa: 2.44−3.96; p < 0.009) were associated with being vaccinated. The coverage is in an intermediate position compared to other countries. It is necessary to improve the referral system of these patients to the hospital vaccination unit because the information obtained by this service contributed to higher vaccination rates.
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14
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Rizvi AA, Singh A. Vaccination coverage among older adults: a population-based study in India. Bull World Health Organ 2022; 100:375-384. [PMID: 35694621 PMCID: PMC9178419 DOI: 10.2471/blt.21.287390] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 11/28/2022] Open
Abstract
Objective To estimate the prevalence and explore the predictors of vaccine uptake among older adults in India. Methods We used data from the national Longitudinal Ageing Study in India, a national household survey conducted during 2017-2018. Based on interviewees' self-reports, we calculated population-weighted estimates of the uptake of influenza, pneumococcal, typhoid and hepatitis B vaccines among 64 714 Indian adults aged 45 years or older. We performed multivariable binary logistic regression analysis to examine the sociodemographic and health-related predictors of uptake of the vaccinations. Findings The coverage of each of the studied vaccinations was less than 2%. The estimated percentages of respondents reporting ever being vaccinated were 1.5% (95% confidence interval, CI: 1.4-1.6) for influenza, 0.6% (95% CI: 0.6-0.7) for pneumococcal disease, 1.9% (95% CI: 1.8-2.0) for typhoid and 1.9% (95% CI: 1.8-2.0) for hepatitis B. Vaccine uptake was higher among respondents with cardiovascular disease, diabetes or lung disease than those without any of these conditions. Uptake of influenza vaccine was higher among those with lung disease, while hepatitis B vaccine uptake was higher among those with cardiovascular disease or diabetes. Male sex, urban residence, wealthier household, more years of schooling, existing medical conditions and sedentary behaviours were significant predictors of vaccine uptake. Conclusion Targeted policies and programmes are needed for improving the low vaccination coverage among older adults in India, especially among those with chronic diseases. Further research could examine vaccine access, vaccine hesitancy, and vaccine-related information and communication channels to older adults and their health-care providers.
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Affiliation(s)
- Ali Abbas Rizvi
- International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, Maharashtra, 400088, India
| | - Abhishek Singh
- International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, Maharashtra, 400088, India
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15
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Owusu D, Rolfes MA, Arriola CS, Daily Kirley P, Alden NB, Meek J, Anderson EJ, Monroe ML, Kim S, Lynfield R, Angeles K, Spina N, Felsen CB, Billing L, Thomas A, Keipp Talbot H, Schaffner W, Chatelain R, Reed C, Garg S. Rates of Severe Influenza-Associated Outcomes Among Older Adults Living With Diabetes-Influenza Hospitalization Surveillance Network (FluSurv-NET), 2012-2017. Open Forum Infect Dis 2022; 9:ofac131. [PMID: 35450083 PMCID: PMC9017364 DOI: 10.1093/ofid/ofac131] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/14/2022] [Indexed: 10/29/2023] Open
Abstract
Background Diabetes mellitus (DM) is common among older adults hospitalized with influenza, yet data are limited on the impact of DM on risk of severe influenza-associated outcomes. Methods We included adults aged ≥65 years hospitalized with influenza during 2012-2013 through 2016-2017 from the Influenza Hospitalization Surveillance Network (FluSurv-NET), a population-based surveillance system for laboratory-confirmed influenza-associated hospitalizations conducted in defined counties within 13 states. We calculated population denominators using the Centers for Medicare and Medicaid Services county-specific DM prevalence estimates and National Center for Health Statistics population data. We present pooled rates and rate ratios (RRs) of intensive care unit (ICU) admission, pneumonia diagnosis, mechanical ventilation, and in-hospital death for persons with and without DM. We estimated RRs and 95% confidence intervals (CIs) using meta-analysis with site as a random effect in order to control for site differences in the estimates. Results Of 31 934 hospitalized adults included in the analysis, 34% had DM. Compared to those without DM, adults with DM had higher rates of influenza-associated hospitalization (RR, 1.57 [95% CI, 1.43-1.72]), ICU admission (RR, 1.84 [95% CI, 1.67-2.04]), pneumonia (RR, 1.57 [95% CI, 1.42-1.73]), mechanical ventilation (RR, 1.95 [95% CI, 1.74-2.20]), and in-hospital death (RR, 1.48 [95% CI, 1.23-1.80]). Conclusions Older adults with DM have higher rates of severe influenza-associated outcomes compared to those without DM. These findings reinforce the importance of preventing influenza virus infections through annual vaccination, and early treatment of influenza illness with antivirals in older adults with DM.
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Affiliation(s)
- Daniel Owusu
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa A Rolfes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carmen S Arriola
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Pam Daily Kirley
- California Emerging Infections Program, Oakland, California, USA
| | - Nisha B Alden
- Colorado Department of Public Health and Environment, Denver, Colorado, USA
| | - James Meek
- Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut, USA
| | - Evan J Anderson
- Department of Medicine and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Georgia Emerging Infections Program, Georgia Department of Health, Atlanta, Georgia, USA
- Atlanta Veterans Affairs Medical Center, Atlanta, Georgia, USA
| | - Maya L Monroe
- Maryland Department of Health, Baltimore, Maryland, USA
| | - Sue Kim
- Michigan Department of Health and Human Services, Lansing, Michigan, USA
| | - Ruth Lynfield
- Minnesota Department of Health, St Paul, Minnesota, USA
| | - Kathy Angeles
- New Mexico Department of Health, Santa Fe, New Mexico, USA
| | - Nancy Spina
- New York State Department of Health, Albany, New York, USA
| | - Christina B Felsen
- University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | | | - Ann Thomas
- Oregon Public Health Authority, Portland, Oregon, USA
| | - H Keipp Talbot
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Ryan Chatelain
- Salt Lake County Health Department, Salt Lake City, Utah, USA
| | - Carrie Reed
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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16
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Greiner B, Hartwell M. Influenza Vaccination Uptake Trends by Age, Race, and Ethnicity in the United States Between 2017 and 2020. J Prim Care Community Health 2022; 13:21501319221104917. [PMID: 35678259 PMCID: PMC9189513 DOI: 10.1177/21501319221104917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
| | - Micah Hartwell
- Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
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17
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Dupraz J, Zuercher E, Taffé P, Peytremann-Bridevaux I. Ambulatory Healthcare Use Profiles of Patients With Diabetes and Their Association With Quality of Care: A Cross-Sectional Study. Front Endocrinol (Lausanne) 2022; 13:841774. [PMID: 35498410 PMCID: PMC9043606 DOI: 10.3389/fendo.2022.841774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Despite the growing burden of diabetes worldwide, evidence regarding the optimal models of care to improve the quality of diabetes care remains equivocal. This study aimed to identify profiles of patients with distinct ambulatory care use patterns and to examine the association of these profiles with the quality of diabetes care. METHODS We performed a cross-sectional study of the baseline data of 550 non-institutionalized adults included in a prospective, community-based, cohort study on diabetes care conducted in Switzerland. Clusters of participants with distinct patterns of ambulatory healthcare use were identified using discrete mixture models. To measure the quality of diabetes care, we used both processes of care indicators (eye and foot examination, microalbuminuria screening, blood cholesterol and glycated hemoglobin measurement [HbA1c], influenza immunization, blood pressure measurement, physical activity and diet advice) and outcome indicators (12-Item Short-Form Health Survey [SF-12], Audit of Diabetes-Dependent Quality of Life [ADDQoL], Patient Assessment of Chronic Illness Care [PACIC], Diabetes Self-Efficacy Scale, HbA1c value, and blood pressure <140/90 mmHg). For each profile of ambulatory healthcare use, we calculated adjusted probabilities of receiving processes of care and estimated adjusted outcomes of care using logistic and linear regression models, respectively. RESULTS Four profiles of ambulatory healthcare use were identified: participants with more visits to the general practitioner [GP] than to the diabetologist and receiving concomitant podiatry care ("GP & podiatrist", n=86); participants visiting almost exclusively their GP ("GP only", n=195); participants with a substantially higher use of all ambulatory services ("High users", n=96); and participants reporting more visits to the diabetologist and less visits to the GP than other profiles ("Diabetologist first", n=173). Whereas participants belonging to the "GP only" profile were less likely to report most processes related to the quality of diabetes care, outcomes of care were relatively comparable across all ambulatory healthcare use profiles. CONCLUSIONS Slight differences in quality of diabetes care appear across the four ambulatory healthcare use profiles identified in this study. Overall, however, results suggest that room for improvement exists in all profiles, and further investigation is necessary to determine whether individual characteristics (like diabetes-related factors) and/or healthcare factors contribute to the differences observed between profiles.
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Low Levels of Influenza Vaccine Uptake among the Diabetic Population in Spain: A Time Trend Study from 2011 to 2020. J Clin Med 2021; 11:jcm11010068. [PMID: 35011809 PMCID: PMC8745480 DOI: 10.3390/jcm11010068] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022] Open
Abstract
(1) Background: In this work, we aim to describe influenza vaccine uptake among the diabetic population in Spain to assess the time trend from 2011 to 2020 and identify predictors of vaccine uptake among diabetes patients. (2) Methods: We conducted a descriptive cross-sectional study using the European Health Interview Survey for Spain (2014 and 2020) and the Spanish National Health Surveys (2011 and 2017). The independent variables analysed included socio-demographic characteristics, health-related variables and lifestyle variables. We matched each participant with diabetes with a non-diabetic participant based on age, sex, place of residence and year of survey. (3) Results: The overall coverage among diabetic adults was 52.1% compared to 40.6% for matched participants without diabetes (p < 0.01). The vaccine uptake among adults with diabetes was 52.6% in 2011, 54.38% in 2014 and 53.4% in 2017. The adjusted OR of having been vaccinated in 2020, with respect to 2011, was not significant at 0.87 (95% CI: 0.72–1.06). Factors such as being male, higher age, being affected by respiratory disease or cancer and being physically active were identified as positive predictors for influenza vaccination uptake, while smoking was a negative predictor. (4) Conclusions: The influenza vaccine uptake is below desirable levels among the adult diabetic population in Spain and has not improved from 2011 to 2020. More efforts should be made to increase influenza vaccine uptake in this high-risk group, especially for women, those aged 18–64 years, without other high-risk conditions and smokers.
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19
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Dallagiacoma G, Allora A, Salvati S, Cocciolo G, Capraro M, Lamberti A, Senatore S, Gentile L, Gianfredi V, Laurenzi A, Molinari C, Caretto A, Faccini M, Signorelli C, Scavini M, Odone A. Type 1 Diabetes Patients' Practice, Knowledge and Attitudes towards Influenza Immunization. Vaccines (Basel) 2021; 9:707. [PMID: 34210044 PMCID: PMC8310009 DOI: 10.3390/vaccines9070707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 12/16/2022] Open
Abstract
Diabetic patients are at higher risk of developing infectious diseases and severe complications, compared to the general population. Almost no data is available in the literature on influenza immunization in people with type 1 diabetes mellitus (T1DM). As part of a broader project on immunization in diabetic patients, we conducted a cross-sectional study to: (i) report on seasonal influenza coverage rates in T1DM patients, (ii) explore knowledge, attitudes, and practices (KAPs) towards seasonal influenza in this population, and (iii) identify factors associated with vaccine uptake, including the role of family doctors and diabetologists. A survey was administered to 251 T1DM patients attending the Diabetes Clinic at San Raffaele Research Hospital in Milan, Italy and individual-level coverage data were retrieved from immunization registries. Self-reported seasonal influenza immunization coverage was 36%, which decreased to 21.7% when considering regional immunization registries, far below coverage target of 75%. More than a third (36.2%) of T1DM patients were classified as pro-vaccine, 30.7% as hesitant, 17.9% as uninformed, and 15.1% as anti-vaccine. Diabetologists resulted to be the most trusted source of information on vaccines' benefits and risks (85.3%) and should be more actively involved in preventive interventions. Our study highlights the importance of developing tailored vaccination campaigns for people with diabetes, including hospital-based programs involving diabetes specialists.
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Affiliation(s)
- Giulia Dallagiacoma
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.D.); (L.G.)
| | - Agnese Allora
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Stefano Salvati
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Giulia Cocciolo
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Michele Capraro
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Anna Lamberti
- Agency for Health Protection of Metropolitan Area of Milan (ATS), 20121 Milan, Italy; (A.L.); (S.S.); (M.F.)
| | - Sabrina Senatore
- Agency for Health Protection of Metropolitan Area of Milan (ATS), 20121 Milan, Italy; (A.L.); (S.S.); (M.F.)
| | - Leandro Gentile
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.D.); (L.G.)
| | - Vincenza Gianfredi
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Andrea Laurenzi
- Diabetes Research Institute, San Raffaele Hospital, 20132 Milan, Italy; (A.L.); (C.M.); (A.C.); (M.S.)
| | - Chiara Molinari
- Diabetes Research Institute, San Raffaele Hospital, 20132 Milan, Italy; (A.L.); (C.M.); (A.C.); (M.S.)
| | - Amelia Caretto
- Diabetes Research Institute, San Raffaele Hospital, 20132 Milan, Italy; (A.L.); (C.M.); (A.C.); (M.S.)
| | - Marino Faccini
- Agency for Health Protection of Metropolitan Area of Milan (ATS), 20121 Milan, Italy; (A.L.); (S.S.); (M.F.)
| | - Carlo Signorelli
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (A.A.); (S.S.); (G.C.); (M.C.); (V.G.); (C.S.)
| | - Marina Scavini
- Diabetes Research Institute, San Raffaele Hospital, 20132 Milan, Italy; (A.L.); (C.M.); (A.C.); (M.S.)
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (G.D.); (L.G.)
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