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Chandeying N, Thongseiratch T. EMR-Based Interventions on HPV Vaccination Initiation, Completion, and Receiving the Next Dose: A Meta-Analytic Review. Vaccines (Basel) 2024; 12:739. [PMID: 39066377 PMCID: PMC11281632 DOI: 10.3390/vaccines12070739] [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: 05/25/2024] [Revised: 06/22/2024] [Accepted: 06/23/2024] [Indexed: 07/28/2024] Open
Abstract
Despite the acknowledged importance of Human Papillomavirus (HPV) vaccination in reducing HPV-related diseases, the influence of electronic medical records (EMR) on HPV vaccination uptake (HVU) remains underexplored. This study aimed to evaluate the efficacy of EMR-based interventions on HVU. A systematic review and meta-analysis of randomized controlled trials were performed, focusing on studies that primarily used EMR-based interventions to measure initiation rates, completion rates, and receipt of the next required vaccine dose. Subgroup analyses were conducted to assess the differential effects of supplementary strategies, provider feedback, and parental education or reminders on these outcomes. The results of the comprehensive analysis provided robust evidence for the significant role of EMR interventions, demonstrating an average increase of 4.7% in vaccine initiation, 6.6% in vaccine completion, and 7.2% in receipt of the next HPV vaccine dose. Additionally, the subgroup analyses indicated that provider feedback and parental education could further enhance the effectiveness of EMR-based interventions. These findings support the broader adoption of digital health technologies in vaccination programs, offering vital insights for healthcare providers, policymakers, and researchers, and emphasizing the need for continued technological innovation to improve public health outcomes.
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Affiliation(s)
- Nutthaporn Chandeying
- Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand;
| | - Therdpong Thongseiratch
- Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla 90100, Thailand
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2
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Khandaker G, Chapman G, Khan A, Al Imam MH, Menzies R, Smoll N, Walker J, Kirk M, Wiley K. Evaluating Pilot Implementation of 'PenCS Flu Topbar' App in Medical Practices to Improve National Immunisation Program-Funded Seasonal Influenza Vaccination in Central Queensland, Australia. Influenza Other Respir Viruses 2024; 18:e13280. [PMID: 38623599 PMCID: PMC11019295 DOI: 10.1111/irv.13280] [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] [Received: 07/28/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND The 'PenCS Flu Topbar' app was deployed in Central Queensland (CQ), Australia, medical practices through a pilot programme in March 2021. METHODS We evaluated the app's user experience and examined whether the introduction of 'PenCS Flu Topbar' in medical practices could improve the coverage of NIP-funded influenza vaccinations. We conducted a mixed-method study including a qualitative analysis of in-depth interviews with key end-users and a quantitative analysis of influenza vaccine administrative data. RESULTS 'PenCS Flu Topbar' app users reported positive experiences identifying patients eligible for NIP-funded seasonal influenza vaccination. A total of 3606 NIP-funded influenza vaccinations was administered in the eight intervention practices, 14% higher than the eight control practices. NIP-funded vaccination coverage within practices was significantly higher in the intervention practices (31.2%) than in the control practices (27.3%) (absolute difference: 3.9%; 95% CI: 2.9%-5.0%; p < 0.001). The coverage was substantially higher in Aboriginal and Torres Strait Islander people aged more than 6 months, pregnant women and children aged 6 months to less than 5 years for the practices where the app was introduced when compared to control practices: incidence rate ratio (IRR) 2.4 (95% CI: 1.8-3.2), IRR 2.7 (95% CI: 1.8-4.2) and IRR 2.3 (1.8-2.9) times higher, respectively. CONCLUSIONS Our evaluation indicated that the 'PenCS Flu Topbar' app is useful for identifying the patients eligible for NIP-funded influenza vaccination and is likely to increase NIP-funded influenza vaccine coverage in the eligible populations. Future impact evaluation including a greater number of practices and a wider geographical area is essential.
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Affiliation(s)
- Gulam Khandaker
- Central Queensland Public Health UnitCentral Queensland Hospital and Health ServiceRockhamptonQueenslandAustralia
- Research DivisionCentral Queensland UniversityRockhamptonQueenslandAustralia
- Discipline of Child and Adolescent Health, Sydney Medical SchoolThe University of SydneyCamperdownNew South WalesAustralia
| | - Gwenda Chapman
- Herston Biofabrication InstituteMetro North HealthHerstonQueenslandAustralia
| | - Arifuzzaman Khan
- Wide Bay Public Health UnitHervey Bay Hospital and Health ServiceHervey BayQueenslandAustralia
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
| | - Mahmudul Hassan Al Imam
- Central Queensland Public Health UnitCentral Queensland Hospital and Health ServiceRockhamptonQueenslandAustralia
- School of Health, Medical and Applied SciencesCentral Queensland UniversityRockhamptonQueenslandAustralia
| | - Robert Menzies
- Research DivisionSanofi PasteurCanterburyNew South WalesAustralia
| | - Nicolas Smoll
- Sunshine Coast Public Health UnitSunshine Coast Hospital and Health ServiceMaroochydoreQueenslandAustralia
| | - Jacina Walker
- Central Queensland Public Health UnitCentral Queensland Hospital and Health ServiceRockhamptonQueenslandAustralia
| | - Michael Kirk
- Rockhampton Business UnitCentral Queensland Hospital and Health ServiceRockhamptonQueenslandAustralia
| | - Kerrie Wiley
- Sydney School of Public HealthThe University of SydneyCamperdownNew South WalesAustralia
- Sydney Infectious Diseases InstituteThe University of SydneyCamperdownNew South WalesAustralia
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3
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Xie SJ, Mah NR, Chew L, Ruud J, Hernandez J, Lowery J, Hartzler AL. Improving Vaccine Equity: How Community Engagement and Informatics Facilitate Health System Outreach to Underrepresented Groups. Appl Clin Inform 2024; 15:129-144. [PMID: 38354837 PMCID: PMC10866640 DOI: 10.1055/s-0044-1779258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/22/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Given the inequities in access to health care resources like COVID-19 vaccination, health systems should carefully consider how to reach underrepresented groups. Reflecting on vaccine rollout efforts holds insight on the role of community engagement and informatics support in promoting health equity. OBJECTIVES This study aimed to assess the effectiveness of four outreach strategies deployed by University of Washington (UW) Medicine in improving vaccine equity over traditional vaccine scheduling online or by phone, we report on appointment scheduling and completion of appointments (i.e., vaccine administration) through (1) automated outreach to individuals from underrepresented groups, (2) temporary "pop-up" clinics in neighborhoods highly impacted by COVID-19, (3) vulnerable population clinics, and (4) mobile vaccine vans. METHODS We conducted a 6-month retrospective analysis of electronic health records (EHR) to describe the sociodemographic characteristics of individuals who scheduled appointments using the outreach strategies and characteristics associated with a greater likelihood of vaccine administration based on appointment completion. To help explain trends in the EHR data, we engaged 10 health system leaders and staff who spearheaded the outreach strategies in follow-up conversations to identify qualitative insights into what worked and why. RESULTS Compared with traditional scheduling, all outreach strategies except vulnerable population clinics had higher vaccine appointment completion rates, including automated outreach (N = 3,734 [94.7%], p < 0.001), pop-up clinics (N = 4,391 [96.0%], p < 0.001), and mobile vans (N = 4,198 [99.1%], p < 0.001); and lower cancellation rates, including automated outreach (N = 166 [1.1%], p < 0.001), pop-up clinics (N = 155 [0.6%], p < 0.001), and mobile vans (N = 0 [0%], p < 0.001). Qualitative insights emphasized ongoing community partnerships and information resources in successful outreach. CONCLUSION Vaccine equity outreach strategies improved the proportion of patients who scheduled and completed vaccination appointments among populations disproportionately impacted by COVID-19. Engaging community partners and equity-focused informatics tools can facilitate outreach. Lessons from these outreach strategies carry practical implications for health systems to amplify their health equity efforts.
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Affiliation(s)
- Serena J. Xie
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States
| | - Nicholas R. Mah
- Department of Shared Services, Enterprise Access and Innovation, UW Medicine, University of Washington, Seattle, Washington, United States
| | - Lisa Chew
- Department of Medicine, University of Washington School of Medicine, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States
| | - Julia Ruud
- Department of Performance Improvement, University of Washington, Seattle, Washington, United States
| | - Jennifer Hernandez
- Ambulatory & Allied Care Services, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States
| | - Jessica Lowery
- Ambulatory & Allied Care Services, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States
| | - Andrea L. Hartzler
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States
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4
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Black KC, Snyder NA, Zhou M, Zhu Z, Uptegraft C, Chintalapani A, Orwoll B. An Electronic Health Record Alert for Inpatient Coronavirus Disease 2019 Vaccinations Increases Vaccination Ordering and Uncovers Workflow Inefficiencies. Appl Clin Inform 2024; 15:192-198. [PMID: 38253337 PMCID: PMC10917607 DOI: 10.1055/a-2250-6305] [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: 07/03/2023] [Accepted: 01/19/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Despite mortality benefits, only 19.9% of U.S. adults are fully vaccinated against the coronavirus disease 2019 (COVID-19). The inpatient setting is an opportune environment to update vaccinations, and inpatient electronic health record (EHR) alerts have been shown to increase vaccination rates. OBJECTIVE Our objective was to evaluate whether an EHR alert could increase COVID-19 vaccinations in eligible hospitalized adults by prompting providers to order the vaccine. METHODS This was a quasiexperimental pre-post-interventional design study at an academic and community hospital in the western United States between 1 January, 2021 and 31 October, 2021. Inclusion criteria were unvaccinated hospitalized adults. A soft-stop, interruptive EHR alert prompted providers to order COVID-19 vaccines for those with an expected discharge date within 48 hours and interest in vaccination. The outcome measured was the proportion of all eligible patients for whom vaccines were ordered and administered before and after alert implementation. RESULTS Vaccine ordering rates increased from 4.0 to 13.0% at the academic hospital (odds ratio [OR]: 4.01, 95% confidence interval [CI]: 3.39-4.74, p < 0.001) and from 7.4 to 11.6% at the community hospital (OR: 1.62, 95% CI: 1.23-2.13, p < 0.001) after alert implementation. Administration increased postalert from 3.6 to 12.7% at the academic hospital (OR: 3.21, 95% CI: 2.70-3.82, p < 0.001) but was unchanged at the community hospital, 6.7 to 6.7% (OR: 0.99, 95% CI: 0.73-1.37, p = 0.994). Further analysis revealed infrequent vaccine availability at the community hospital. CONCLUSION Vaccine ordering rates improved at both sites after alert implementation. Vaccine administration rates, however, only improved at the academic hospital, likely due in part to vaccine dispensation inefficiency at the community hospital. This study demonstrates the potential impact of complex workflow patterns on new EHR alert success and provides a rationale for subsequent qualitative workflow analysis with alert implementation.
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Affiliation(s)
| | | | - Mengyu Zhou
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Zhen Zhu
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Colby Uptegraft
- Health Informatics Directorate, Defense Health Agency, Falls Church, Virginia
| | - Ani Chintalapani
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon
| | - Benjamin Orwoll
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon
- Department of Pediatrics, Oregon Health and Science University, Portland, Oregon
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5
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Real FJ, Zackoff MW, Rosen BL. Using Technology to Overcome Vaccine Hesitancy. Pediatr Clin North Am 2023; 70:297-308. [PMID: 36841597 DOI: 10.1016/j.pcl.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Technology holds great potential to address many vaccine hesitancy determinants and support vaccine uptake given its ability to amplify positive messages, support knowledge, and enhance providers' recommendations. Modalities previously implemented with variable success have included automated reminder systems, decision support for clinicians, online education programs, social media campaigns, and virtual reality curricula. Further research is needed to identify the optimal uses of technology at the patient/parent and provider levels to overcome vaccine hesitancy. The most effective interventions will likely be multipronged providing patients, parents, and providers with information related to vaccine status.
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Affiliation(s)
- Francis J Real
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, USA; Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, USA.
| | - Matthew W Zackoff
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, USA; Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, USA
| | - Brittany L Rosen
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH, USA; Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, USA
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Willis VC, Thomas Craig KJ, Jabbarpour Y, Scheufele EL, Arriaga YE, Ajinkya M, Rhee KB, Bazemore A. Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review. JMIR Med Inform 2022; 10:e33518. [PMID: 35060909 PMCID: PMC8817213 DOI: 10.2196/33518] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/19/2021] [Accepted: 12/04/2021] [Indexed: 12/20/2022] Open
Abstract
Background Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated. Objective This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings. Methods A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted. Results The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low. Conclusions Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.
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Affiliation(s)
- Van C Willis
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Kelly Jean Thomas Craig
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yalda Jabbarpour
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Elisabeth L Scheufele
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yull E Arriaga
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Monica Ajinkya
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Kyu B Rhee
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Andrew Bazemore
- The American Board of Family Medicine, Lexington, KY, United States
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7
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Stephens AB, Wynn CS, Hofstetter AM, Kolff C, Pena O, Kahn E, Dasgupta B, Natarajan K, Vawdrey DK, Lane MM, Robbins-Milne L, Ramakrishnan R, Holleran S, Stockwell MS. Effect of Electronic Health Record Reminders for Routine Immunizations and Immunizations Needed for Chronic Medical Conditions. Appl Clin Inform 2021; 12:1101-1109. [PMID: 34911126 DOI: 10.1055/s-0041-1739516] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Immunization reminders in electronic health records (EHR) provide clinical decision support (CDS) that can reduce missed immunization opportunities. Little is known about using CDS rules from a regional immunization information system (IIS) to power local EHR immunization reminders. OBJECTIVE This study aimed to assess the impact of EHR reminders using regional IIS CDS-provided rules on receipt of immunizations in a low-income, urban population for both routine immunizations and those recommended for patients with chronic medical conditions (CMCs). METHODS We built an EHR-based immunization reminder using the open-source resource used by the New York City IIS in which we overlaid logic regarding immunizations needed for CMCs. Using a randomized cluster-cross-over pragmatic clinical trial in four academic-affiliated clinics, we compared captured immunization opportunities during patient visits when the reminder was "on" versus "off" for the primary immunization series, school-age boosters, and adolescents. We also assessed coverage of CMC-specific immunizations. Up-to-date immunization was measured by end of quarter. Rates were compared using chi square tests. RESULTS Overall, 15,343 unique patients were seen for 26,647 visits. The alert significantly impacted captured opportunities to complete the primary series in both well-child and acute care visits (57.6% on vs. 54.3% off, p = 0.001, and 15.3% on vs. 10.1% off, p = 0.02, respectively), among most age groups, and several immunization types. Captured opportunities for CMC-specific immunizations remained low regardless of alert status. The alert did not have an effect on up-to-date immunization overall (89.1 vs. 88.3%). CONCLUSION CDS in this population improved captured immunization opportunities. Baseline high rates may have blunted an up-to-date population effect. Converting Centers for Disease Control and Prevention (CDC) rules to generate sufficiently sensitive and specific alerts for CMC-specific immunizations proved challenging, and the alert did not have an impact on CMC-specific immunizations, potentially highlighting need for more work in this area.
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Affiliation(s)
- Ashley B Stephens
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Chelsea S Wynn
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Annika M Hofstetter
- Department of Pediatrics, University of Washington, Seattle, Washington, United States.,Seattle Children's Research Institute, University of Washington, Seattle, Washington, United States
| | - Chelsea Kolff
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Oscar Pena
- NewYork-Presbyterian Hospital New York, New York, United States
| | - Eric Kahn
- NewYork-Presbyterian Hospital New York, New York, United States
| | - Balendu Dasgupta
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States
| | - David K Vawdrey
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States.,Steele Institute for Health Innovation, Geisinger, Danville, Pennsylvania, United States
| | - Mariellen M Lane
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Laura Robbins-Milne
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Rajasekhar Ramakrishnan
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Stephen Holleran
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Melissa S Stockwell
- Departments of Pediatrics and Population and Family Health, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital New York, New York, United States
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8
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Mohammed H, McMillan M, Andraweera PH, Elliott SR, Marshall HS. A rapid global review of strategies to improve influenza vaccination uptake in Australia. Hum Vaccin Immunother 2021; 17:5487-5499. [PMID: 34623221 PMCID: PMC8904008 DOI: 10.1080/21645515.2021.1978797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
This study aimed to identify effective strategies for improving the uptake of influenza vaccination and to inform recommendations for influenza vaccination programs in Australia. A rapid systematic review was conducted to assimilate and synthesize peer-reviewed articles identified in PubMed. The National Health and Medical Research Council (NHMRC) Hierarchy of Evidence was used to appraise the quality of evidence. A systematic search identified 4373 articles and 52 that met the inclusion criteria were included. The evidence suggests influenza vaccination uptake may be improved by interventions that (1) increase community/patient demand and access to influenza vaccine and overcome practice-related barriers; (2) reinforce the critical role healthcare providers play in driving influenza vaccination uptake. Strategies such as standing orders, reminder and recall efforts were successful in improving influenza vaccination rates. Community pharmacies, particularly in regional/remote areas, are well positioned to improve influenza vaccine coverage. The findings of this rapid review can be utilized to improve the performance of influenza immunization programs in Australia and other countries with comparable programs; and recommend priorities for future evaluation of interventions to improve influenza vaccination uptake.
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Affiliation(s)
- Hassen Mohammed
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Mark McMillan
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Prabha H Andraweera
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Salenna R Elliott
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia
| | - Helen S Marshall
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
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9
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Rand CM, Humiston SG. Provider Focused Interventions to Improve Child and Adolescent Vaccination Rates. Acad Pediatr 2021; 21:S34-S39. [PMID: 33958090 DOI: 10.1016/j.acap.2021.02.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 02/24/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Cynthia M Rand
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry (CM Rand), Rochester, NY.
| | - Sharon G Humiston
- Department of Pediatrics, University of Missouri Kansas City School of Medicine and Children's Mercy Kansas City (SG Humiston), Mo
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