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Silva JBB, Howe CJ, Jackson JW, Riester MR, Bardenheier BH, Xu L, Puckrein G, van Aalst R, Loiacono MM, Zullo AR. Geographic Variation in Racial Disparities in Receipt of High-Dose Influenza Vaccine Among US Older Adults. J Racial Ethn Health Disparities 2024; 11:1520-1529. [PMID: 37184814 PMCID: PMC10184628 DOI: 10.1007/s40615-023-01628-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/29/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Racial disparities in receipt of high-dose influenza vaccine (HDV) have been documented nationally, but whether small-area geographic variation in such disparities exists remains unknown. We assessed the distribution of disparities in HDV receipt between Black and White traditional Medicare beneficiaries vaccinated against influenza within states and hospital referral regions (HRRs). METHODS We conducted a nationally representative retrospective cohort study of 11,768,724 community-dwelling traditional Medicare beneficiaries vaccinated against influenza during the 2015-2016 influenza season (94.3% White and 5.7% Black). Our comparison was marginalized versus privileged racial group measured as Black versus White race. Vaccination and type of vaccine were obtained from Medicare Carrier and Outpatient files. Differences in the proportions of individuals who received HDV between Black and White beneficiaries within states and HRRs were used to measure age- and sex-standardized disparities in HDV receipt. We restricted to states and HRRs with ≥ 100 beneficiaries per age-sex strata per racial group. RESULTS We detected a national disparity in HDV receipt of 12.8 percentage points (pps). At the state level, the median standardized HDV receipt disparity was 10.7 pps (minimum, maximum: 2.9, 25.6; n = 30 states). The median standardized HDV receipt disparity among HRRs was 11.6 pps (minimum, maximum: 0.4, 24.7; n = 54 HRRs). CONCLUSION Black beneficiaries were less likely to receive HDV compared to White beneficiaries in almost every state and HRR in our analysis. The magnitudes of disparities varied substantially across states and HRRs. Local interventions and policies are needed to target geographic areas with the largest disparities to address these inequities.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA.
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Epidemiologic Research, Brown University School of Public Health, Providence, RI, USA
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Westat LLC, Rockville, MD, USA
| | - Liou Xu
- National Minority Quality Forum, Washington, DC, USA
| | - Gary Puckrein
- National Minority Quality Forum, Washington, DC, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Department of Modelling, Epidemiology, and Data Science, Sanofi, Lyon, France
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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Silva JBB, Howe CJ, Jackson JW, Bardenheier BH, Riester MR, van Aalst R, Loiacono MM, Zullo AR. Geospatial Distribution of Racial Disparities in Influenza Vaccination in Nursing Homes. J Am Med Dir Assoc 2024; 25:104804. [PMID: 37739348 PMCID: PMC10950839 DOI: 10.1016/j.jamda.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/24/2023]
Abstract
OBJECTIVES This study aimed to assess the distribution of racial disparities in influenza vaccination between White and Black short-stay and long-stay nursing home residents among states and hospital referral regions (HRRs). DESIGN Retrospective cohort study. SETTING AND PARTICIPANTS We included short-stay and long-stay older adults residing in US nursing homes during influenza seasons between 2011 and 2018. Included residents were aged ≥65 years and enrolled in Traditional Medicare. Analyses were conducted using resident-seasons, whereby residents could contribute to one or more influenza seasons if they resided in a nursing home across multiple seasons. METHODS Our comparison of interest was marginalized vs privileged racial group membership measured as Black vs White race. We obtained influenza vaccination documentation from resident Minimum Data Set assessments from October 1 through June 30 of a particular influenza season. Nonparametric g-formula was used to estimate age- and sex-standardized disparities in vaccination, measured as the percentage point (pp) difference in the proportions of individuals vaccinated between Black and White nursing home residents within states and HRRs. RESULTS The study included 7,807,187 short-stay resident-seasons (89.7% White and 10.3% Black) in 14,889 nursing homes and 7,308,111 long-stay resident-seasons (86.7% White and 13.3% Black) in 14,885 nursing homes. Among states, the median age- and sex-standardized disparity between Black and White residents was 10.1 percentage points (pps) among short-stay residents and 5.3 pps among long-stay residents across seasons. Among HRRs, the median disparity was 8.6 pps among short-stay residents and 5.0 pps among long-stay residents across seasons. CONCLUSIONS AND IMPLICATIONS Our analysis revealed that the magnitudes of vaccination disparities varied substantially across states and HRRs, from no disparity in vaccination to disparities in excess of 25 pps. Local interventions and policies should be targeted to high-disparity geographic areas to increase vaccine uptake and promote health equity.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Epidemiologic Research, Brown University School of Public Health, Providence, RI, USA
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public health, Baltimore, MD, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Department of Modelling, Epidemiology, and Data Science, Sanofi, Lyon, France; Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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Cuddihy MT, Berger WL, Cummings PL, Keith R, Dao B, Smith LV, Kuo T. An organizational assessment of 101 Community-Based Adult Services centers to identify and address gaps in influenza vaccination among Medicare-Medicaid beneficiaries. Vaccine 2023; 41:581-589. [PMID: 36513536 DOI: 10.1016/j.vaccine.2022.11.066] [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: 06/17/2022] [Revised: 10/22/2022] [Accepted: 11/27/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Medicare-Medicaid beneficiaries are at high risk of experiencing severe disease from influenza. Yet, immunization assessment followed by influenza vaccination (when needed) are not regularly performed at Community-Based Adult Services (CBAS) centers in/near medically underserved areas. To better understand this challenge, an organizational assessment was conducted in early 2020 to identify and examine modifiable factors that may impede or facilitate immunization assessment and influenza vaccination at CBAS centers in Los Angeles County (LAC), California. METHODS All 158 CBAS centers in LAC were asked to complete a 17-question survey. The survey asked about immunization assessment, gaps in communication with primary care providers, knowledge and use of the California Immunization Registry (CAIR), and institutional policies for influenza vaccination. In addition, the survey asked each center about its vaccination policy for staff and clients, including whether or not increasing vaccinations was an interest/priority for the center. Best subsets algorithms (regression models) were performed to identify factors that may influence CBAS centers' practices on immunization assessment and vaccination. RESULTS Of the 158 centers, 101 (66 %) completed the survey. A majority did not conduct immunization assessments for influenza (n = 59; 58 %); nearly-two-thirds (n = 70; 71 %) reported it would be feasible to do so if the practice is integrated as part of the individualized/nursing plan of care. Best subsets algorithms showed the strongest factors influencing whether CBAS centers assess for influenza vaccination were: center size, staff training on CAIR, presence of barriers to vaccination, and the belief that it is the center's responsibility to conduct immunization assessments and vaccinations. CONCLUSIONS Findings suggest that practice gaps in immunization assessment and influenza vaccination are common at LAC's CBAS centers. Closing these gaps may help LAC (and California) improve influenza vaccine uptake and other vaccinations (e.g., pneumococcal, COVID-19) among the most vulnerable of the state's aging populations, Medicare-Medicaid beneficiaries.
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Affiliation(s)
- Maria-Teresa Cuddihy
- Immunization Coalition of Los Angeles County, Los Angeles County Department of Public Health, Los Angeles, CA and CareCentrix, Hartford, CT, USA
| | - Wendy L Berger
- Vaccine Preventable Disease Control Program, Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Patricia L Cummings
- Epidemiology Research & Evaluation, Eisenhower Health, Rancho Mirage, CA, USA
| | - Ryan Keith
- Immunization Coalition of Los Angeles County, Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Bryant Dao
- Rapid Assessment, Training and Evaluation Unit, Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Lisa V Smith
- Rapid Assessment, Training and Evaluation Unit, Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Tony Kuo
- Department of Family Medicine, UCLA David Geffen School of Medicine, Department of Epidemiology, UCLA Fielding School of Public Health, and Population Health Program, UCLA Clinical and Translational Science Institute, Los Angeles, CA, USA.
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Riester MR, Roberts AI, Silva JBB, Howe CJ, Bardenheier BH, van Aalst R, Loiacono MM, Zullo AR. Geographic Variation in Influenza Vaccination Disparities Between Hispanic and Non-Hispanic White US Nursing Home Residents. Open Forum Infect Dis 2022; 9:ofac634. [PMID: 36540392 PMCID: PMC9757686 DOI: 10.1093/ofid/ofac634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/22/2022] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Disparities in influenza vaccination exist between Hispanic and non-Hispanic White US nursing home (NH) residents, but the geographic areas with the largest disparities remain unknown. We examined how these racial/ethnic disparities differ across states and hospital referral regions (HRRs). METHODS This retrospective cohort study included >14 million short-stay and long-stay US NH resident-seasons over 7 influenza seasons from October 1, 2011, to March 31, 2018, where residents could contribute to 1 or more seasons. Residents were aged ≥65 years and enrolled in Medicare fee-for-service. We used the Medicare Beneficiary Summary File to ascertain race/ethnicity and Minimum Data Set assessments for influenza vaccination. We calculated age- and sex-standardized percentage point (pp) differences in the proportions vaccinated between non-Hispanic White and Hispanic (any race) resident-seasons. Positive pp differences were considered disparities, where the proportion of non-Hispanic White residents vaccinated was greater than the proportion of Hispanic residents vaccinated. States and HRRs with ≥100 resident-seasons per age-sex stratum per racial/ethnic group were included in analyses. RESULTS Among 7 442 241 short-stay resident-seasons (94.1% non-Hispanic White, 5.9% Hispanic), the median standardized disparities in influenza vaccination were 4.3 pp (minimum, maximum: 0.3, 19.2; n = 22 states) and 2.8 pp (minimum, maximum: -3.6, 10.3; n = 49 HRRs). Among 6 758 616 long-stay resident-seasons (93.7% non-Hispanic White, 6.5% Hispanic), the median standardized differences were -0.1 pp (minimum, maximum: -4.1, 11.4; n = 18 states) and -1.8 pp (minimum, maximum: -6.5, 7.6; n = 34 HRRs). CONCLUSIONS Wide geographic variation in influenza vaccination disparities existed across US states and HRRs. Localized interventions targeted toward areas with high disparities may be a more effective strategy to promote health equity than one-size-fits-all national interventions.
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Affiliation(s)
- Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Anthony I Roberts
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Chanelle J Howe
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Epidemiologic Research, Brown University, Providence, Rhode Island, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Westat LLC, Rockville, Maryland, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Modelling, Epidemiology, and Data Science, Global Medical Affairs, Sanofi, Lyon, France
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Matthew M Loiacono
- Global Medical Evidence Generation, Sanofi, Swiftwater, Pennsylvania, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
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O’Neill ET, Bosco E, Persico E, Silva JB, Riester MR, Moyo P, van Aalst R, Loiacono MM, Chit A, Gravenstein S, Zullo AR. Correlation of long-term care facility vaccination practices between seasons and resident types. BMC Geriatr 2022; 22:835. [PMID: 36333667 PMCID: PMC9635204 DOI: 10.1186/s12877-022-03540-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Background Influenza vaccination varies widely across long-term care facilities (LTCFs) due to staff behaviors, LTCF practices, and patient factors. It is unclear how seasonal LTCF vaccination varies between cohabitating but distinct short-stay and long-stay residents. Thus, we assessed the correlation of LTCF vaccination between these populations and across seasons. Methods The study design is a national retrospective cohort using Medicare and Minimum Data Set (MDS) data. Participants include U.S. LTCFs. Short-stay and long-stay Medicare-enrolled residents age ≥ 65 in U.S. LTCFs from a source population of residents during October 1st-March 31st in 2013–2014 (3,042,881 residents; 15,683 LTCFs) and 2014–2015 (3,143,174, residents; 15,667 LTCFs). MDS-assessed influenza vaccination was the outcome. Pearson correlation coefficients were estimated to assess seasonal correlations between short-stay and long-stay resident vaccination within LTCFs. Results The median proportion of short-stay residents vaccinated across LTCFs was 70.4% (IQR, 50.0–82.7%) in 2013–2014 and 69.6% (IQR, 50.0–81.6%) in 2014–2015. The median proportion of long-stay residents vaccinated across LTCFs was 85.5% (IQR, 78.0–90.9%) in 2013–2014 and 84.6% (IQR, 76.6–90.3%) in 2014–2015. Within LTCFs, there was a moderate correlation between short-stay and long-stay vaccination in 2013–2014 (r = 0.50, 95%CI: 0.49–0.51) and 2014–2015 (r = 0.53, 95%CI: 0.51–0.54). Across seasons, there was a moderate correlation for LTCFs with short-stay residents (r = 0.54, 95%CI: 0.53–0.55) and a strong correlation for those with long-stay residents (r = 0.68, 95%CI: 0.67–0.69). Conclusions In LTCFs with inconsistent influenza vaccination across seasons or between populations, targeted vaccination protocols for all residents, regardless of stay type, may improve successful vaccination in this vulnerable patient population. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03540-3.
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Affiliation(s)
- Emily T. O’Neill
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Elliott Bosco
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Erin Persico
- grid.20431.340000 0004 0416 2242University of Rhode Island College of Pharmacy, Kingston, RI USA
| | - Joe B. Silva
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Melissa R. Riester
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Patience Moyo
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA
| | - Robertus van Aalst
- grid.417555.70000 0000 8814 392XSanofi, Swiftwater, PA USA ,grid.4494.d0000 0000 9558 4598Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Ayman Chit
- grid.417555.70000 0000 8814 392XSanofi, Swiftwater, PA USA ,grid.17063.330000 0001 2157 2938Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
| | - Stefan Gravenstein
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA ,grid.413904.b0000 0004 0420 4094Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI USA ,grid.40263.330000 0004 1936 9094Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI USA
| | - Andrew R. Zullo
- grid.40263.330000 0004 1936 9094Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI USA ,grid.413904.b0000 0004 0420 4094Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI USA ,grid.40263.330000 0004 1936 9094Department of Epidemiology, Brown University School of Public Health, Providence, RI USA
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Mulla RT, Turcotte LA, Wellens NI, Angevaare MJ, Weir J, Jantzi M, Hébert PC, Heckman GA, van Hout H, Millar N, Hirdes JP. Prevalence and predictors of influenza vaccination in long-term care homes: a cross-national retrospective observational study. BMJ Open 2022; 12:e057517. [PMID: 35437252 PMCID: PMC9016404 DOI: 10.1136/bmjopen-2021-057517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To compare facility-level influenza vaccination rates in long-term care (LTC) homes from four countries and to identify factors associated with influenza vaccination among residents. DESIGN AND SETTING Retrospective cross-sectional study of individuals residing in LTC homes in New Brunswick (Canada), New Zealand, Switzerland, and the Netherlands between 2017 and 2020. PARTICIPANTS LTC home residents assessed with interRAI assessment system instruments as part of routine practice in New Brunswick (n=7006) and New Zealand (n=34 518), and national pilot studies in Switzerland (n=2760) and the Netherlands (n=1508). End-of-life residents were excluded from all country cohorts. OUTCOMES Influenza vaccination within the past year. RESULTS Influenza vaccination rates among LTC home residents were highest in New Brunswick (84.9%) and lowest in Switzerland (63.5%). For all jurisdictions where facility-level data were available, substantial interfacility variance was observed. There was approximately a fourfold difference in the coefficient of variation for facility-level vaccination rates with the highest in Switzerland at 37.8 and lowest in New Brunswick at 9.7. Resident-level factors associated with vaccine receipt included older age, severe cognitive impairment, medical instability, health conditions affecting a greater number of organ systems and social engagement. Residents who displayed aggressive behaviours and smoke tobacco were less likely to be vaccinated. CONCLUSION There are opportunities to increase influenza vaccine uptake at both overall country and individual facility levels. Enhanced vaccine administration monitoring programmes in LTC homes that leverage interRAI assessment systems should be widely adopted.
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Affiliation(s)
- Reem T Mulla
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Luke Andrew Turcotte
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Nathalie Ih Wellens
- HES-SO La Source Institute and School of Nursing, Lausanne, Switzerland
- Public Health and Social Affairs of the Canton of Vaud, Directorate General of Health, Lausanne, Switzerland
| | - Milou J Angevaare
- Department of Medicine for Older People & Department of General Practice, Amsterdam Public Health research institute, Amsterdam UMC - Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Julie Weir
- New Brunswick Association of Nursing Homes, Fredericton, New Brunswick, Canada
| | - Micaela Jantzi
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Paul C Hébert
- Université de Montréal, Montreal, Québec, Canada
- Centre Hospitalier de l'Université de Montréal, Montreal, Québec, Canada
| | - George A Heckman
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
- Schlegel-UW Research Institute for Aging, Waterloo, Ontario, Canada
| | - Hein van Hout
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC - Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - John P Hirdes
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
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Moyo P, Bosco E, Bardenheier BH, Rivera-Hernandez M, van Aalst R, Chit A, Gravenstein S, Zullo AR. Variation in influenza vaccine assessment, receipt, and refusal by the concentration of Medicare Advantage enrollees in U.S. nursing homes. Vaccine 2022; 40:1031-1037. [PMID: 35033387 PMCID: PMC8917469 DOI: 10.1016/j.vaccine.2021.12.069] [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] [Received: 01/21/2021] [Revised: 12/22/2021] [Accepted: 12/30/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND More older adults enrolled in Medicare Advantage (MA) are entering nursing homes (NHs), and MA concentration could affect vaccination rates through shifts in resident characteristics and/or payer-related influences on preventive services use. We investigated whether rates of influenza vaccination and refusal differ across NHs with varying concentrations of MA-enrolled residents. METHODS We analyzed 2014-2015 Medicare enrollment data and Minimum Data Set clinical assessments linked to NH-level characteristics, star ratings, and county-level MA penetration rates. The independent variable was the percentage of residents enrolled in MA at admission and categorized into three equally-sized groups. We examined three NH-level outcomes including the percentages of residents assessed and appropriately considered for influenza vaccination, received influenza vaccination, and refused influenza vaccination. RESULTS There were 936,513 long-stay residents in 12,384 NHs. Categories for the prevalence of MA enrollment in NHs were low (0% to 3.3%; n = 4131 NHs), moderate (3.4% to 18.6%; n = 4127 NHs) and high (>18.6%; n = 4126 NHs). Overall, 81.3% of long-stay residents received influenza vaccination and 14.3% refused the vaccine when offered. Adjusting for covariates, influenza vaccination rates among long-stay residents were higher in NHs with moderate (1.70 percentage points [pp], 95% confidence limits [CL]: 1.15 pp, 2.24 pp), or high (3.05 pp, 95% CL: 2.45 pp, 3.66 pp) MA versus the lowest prevalence of MA. Influenza vaccine refusal was lower in NHs with moderate (-3.10 pp, 95% CL: -3.53 pp, -2.68 pp), or high (-4.63 pp, 95% CL: -5.11 pp, -4.15 pp) MA compared with NHs with the lowest prevalence of MA. CONCLUSION A higher concentration of long-stay NH residents enrolled in MA was associated with greater influenza vaccine receipt and lower vaccine refusal. As MA becomes a larger share of the Medicare program, and more MA beneficiaries enter NHs, decisionmakers need to consider how managed care can be leveraged to improve the delivery of preventive services like influenza vaccinations in NH settings.
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Affiliation(s)
- Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA.
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Maricruz Rivera-Hernandez
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA
| | - Robertus van Aalst
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Department of Modelling, Epidemiology, and Data Science, Sanofi Pasteur, Lyon, France; Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, PA, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA; Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
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8
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Roller-Wirnsberger R, Lindner S, Kolosovski L, Platzer E, Dovjak P, Flick H, Tziraki C, Illario M. The role of health determinants in the influenza vaccination uptake among older adults (65+): a scope review. Aging Clin Exp Res 2021; 33:2123-2132. [PMID: 33587270 PMCID: PMC7882864 DOI: 10.1007/s40520-021-01793-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/11/2021] [Indexed: 02/06/2023]
Abstract
Background Although the burden of influenza infection is the highest in older adults, vaccination coverage remains low, despite this age group being more vulnerable than others. Aims Given the current pandemic of SARS-CoV-2, it was the aim of this scope review to update knowledge on factors affecting seasonal influenza vaccine uptake among older adults to strengthen prevention approaches in the context of an overall burden of infectious diseases. Methods We searched bibliographic databases from 2012 to 2019. All studies reviewed one or more social determinant of health listed by WHO, or factors affecting the decision-making process whether to accept influenza vaccine or not. Results Overall, 44 studies were included, 41 determinants were extracted and summarized into six categories. Older age and constitutional factors including multiple chronic diseases as well as preventive lifestyle and frequent routine healthcare utilization positively affected vaccination uptake (VU). Living and working conditions are also researched determinants of influenza vaccine uptake. A small number of studies explored the role of social inclusion and system-based interventions. Discussion and conclusions This scope review provides a comprehensive overview on factors affecting seasonal influenza vaccination uptake among older citizens. The review also clearly shows gaps for evidence on system-based level or political strategies to improve vaccination uptake. Supplementary Information The online version contains supplementary material available at 10.1007/s40520-021-01793-3.
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9
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Silva JBB, Bosco E, Riester MR, McConeghy KW, Moyo P, van Aalst R, Bardenheier BH, Gravenstein S, Baier R, Loiacono MM, Chit A, Zullo AR. Geographic variation in influenza vaccination among U.S. nursing home residents: A national study. J Am Geriatr Soc 2021; 69:2536-2547. [PMID: 34013979 PMCID: PMC8242857 DOI: 10.1111/jgs.17270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/27/2021] [Accepted: 04/28/2021] [Indexed: 11/26/2022]
Abstract
Objectives Estimates of influenza vaccine use are not available at the county level for U.S. nursing home (NH) residents but are critically necessary to guide the implementation of quality improvement programs aimed at increasing vaccination. Furthermore, estimates that account for differences in resident characteristics between counties are unavailable. We estimated risk‐standardized vaccination rates (RSVRs) among short‐ and long‐stay NH residents by U.S. county and identified drivers of geographic variation. Methods We conducted a retrospective cohort study utilizing 100% of 2013–2015 fee‐for‐service Medicare claims, Minimum Data Set assessments, Certification and Survey Provider Enhanced Reports, and Long‐Term Care: Facts on Care in the U.S. We separately evaluated short‐stay (<100 days) and long‐stay (≥100 days) residents aged 65 and older across the 2013–2014 and 2014–2015 influenza seasons. We estimated RSVRs via hierarchical logistic regression adjusting for 32 resident‐level covariates. We then used multivariable linear regression models to assess associations between county‐level NHs predictors and RSVRs. Results The study cohort consisted of 2,817,217 residents in 14,658 NHs across 2798 counties. Short‐stay residents had lower RSVRs than long‐stay residents (2013–2014: median [interquartile range], 69.6% [62.8–74.5] vs 84.0% [80.8–86.4]), and there was wide variation within each population (range, 11.4–89.8 vs 49.1–92.6). Several modifiable facility‐level characteristics were associated with increased RSVRs, including higher registered nurse to total nurse ratio and higher total staffing for licensed practical nurses, speech‐language pathologists, and social workers. Characteristics associated with lower RSVRs included higher percentage of residents restrained, with a pressure ulcer, and NH‐level hospitalizations per resident‐year. Conclusions Substantial county‐level variation in influenza vaccine use exists among short‐ and long‐stay NH residents. Quality improvement interventions to improve vaccination rates can leverage these results to target NHs located in counties with lower risk‐standardized vaccine use.
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Affiliation(s)
- Joe B B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Rosa Baier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Matthew M Loiacono
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
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10
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Thomas RE. Reducing Morbidity and Mortality Rates from COVID-19, Influenza and Pneumococcal Illness in Nursing Homes and Long-Term Care Facilities by Vaccination and Comprehensive Infection Control Interventions. Geriatrics (Basel) 2021; 6:48. [PMID: 34066781 PMCID: PMC8162358 DOI: 10.3390/geriatrics6020048] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 12/24/2022] Open
Abstract
The COVID-19 pandemic identifies the problems of preventing respiratory illnesses in seniors, especially frail multimorbidity seniors in nursing homes and Long-Term Care Facilities (LCTFs). Medline and Embase were searched for nursing homes, long-term care facilities, respiratory tract infections, disease transmission, infection control, mortality, systematic reviews and meta-analyses. For seniors, there is strong evidence to vaccinate against influenza, SARS-CoV-2 and pneumococcal disease, and evidence is awaited for effectiveness against COVID-19 variants and when to revaccinate. There is strong evidence to promptly introduce comprehensive infection control interventions in LCFTs: no admissions from inpatient wards with COVID-19 patients; quarantine and monitor new admissions in single-patient rooms; screen residents, staff and visitors daily for temperature and symptoms; and staff work in only one home. Depending on the vaccination situation and the current risk situation, visiting restrictions and meals in the residents' own rooms may be necessary, and reduce crowding with individual patient rooms. Regional LTCF administrators should closely monitor and provide staff and PPE resources. The CDC COVID-19 tool measures 33 infection control indicators. Hand washing, social distancing, PPE (gowns, gloves, masks, eye protection), enhanced cleaning of rooms and high-touch surfaces need comprehensive implementation while awaiting more studies at low risk of bias. Individual ventilation with HEPA filters for all patient and common rooms and hallways is needed.
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Affiliation(s)
- Roger E Thomas
- Department of Family Medicine, Faculty of Medicine, University of Calgary, Calgary, AB T2M 1M1, Canada
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11
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Riester MR, Bosco E, Bardenheier BH, Moyo P, Baier RR, Eliot M, Silva JB, Gravenstein S, van Aalst R, Chit A, Loiacono MM, Zullo AR. Decomposing Racial and Ethnic Disparities in Nursing Home Influenza Vaccination. J Am Med Dir Assoc 2021; 22:1271-1278.e3. [PMID: 33838115 DOI: 10.1016/j.jamda.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/19/2021] [Accepted: 03/01/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Quantify how observable characteristics contribute to influenza vaccination disparities among White, Black, and Hispanic nursing home (NH) residents. DESIGN Retrospective cohort. SETTING AND PARTICIPANTS Short- and long-stay U.S. NH residents aged ≥65 years. METHODS We linked Minimum Data Set (MDS) and Medicare data to LTCFocUS and other facility data. We included residents with 6-month continuous enrollment in Medicare and an MDS assessment between October 1, 2013, and March 31, 2014. Residents were classified as short-stay (<100 days in NH) or long-stay (≥100 days in NH). We fit multivariable logistic regression models to assess the relationships between 27 resident and NH-level characteristics and receipt of influenza vaccination. Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparity in influenza vaccination between White versus Black and White versus Hispanic NH residents. Analyses were repeated separately for short- and long-stay residents. RESULTS Our study included 630,373 short-stay and 1,029,593 long-stay residents. Proportions vaccinated against influenza included 67.2% of White, 55.1% of Black, and 54.5% of Hispanic individuals among short-stay residents and 84.2%, 76.7%, and 80.8%, respectively among long-stay residents. Across 4 comparisons, the crude disparity in influenza vaccination ranged from 3.4 to 12.7 percentage points. By equalizing 27 prespecified characteristics, these disparities could be reduced 37.7% to 59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors across all analyses. Characteristics unmeasured in our data (eg, NH staff attitudes and beliefs) may have also contributed significantly to the disparity. CONCLUSIONS AND IMPLICATIONS The racial/ethnic disparity in influenza vaccination was most dramatic among short-stay residents. Intervening on factors associated with NH quality would likely reduce these disparities; however, future qualitative research is essential to explore potential contributors that were unmeasured in our data and to understand the degree to which these factors contribute to the overall disparity in influenza vaccination.
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Affiliation(s)
- Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Rosa R Baier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Center for Long-Term Care Quality and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Melissa Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Joe B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Robertus van Aalst
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Matthew M Loiacono
- Vaccine Epidemiology and Modeling, Sanofi Pasteur, Swiftwater, PA, USA; Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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12
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Thomas RE. Pneumococcal Pneumonia and Invasive Pneumococcal Disease in Those 65 and Older: Rates of Detection, Risk Factors, Vaccine Effectiveness, Hospitalisation and Mortality. Geriatrics (Basel) 2021; 6:13. [PMID: 33557406 PMCID: PMC7931064 DOI: 10.3390/geriatrics6010013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 12/17/2022] Open
Abstract
Pneumococcal pneumonia (PP) and invasive pneumococcal disease (IPD) are important causes of morbidity and mortality in seniors worldwide. Incidence rates and serious outcomes worsen with increasing frailty, numbers of risk factors and decreasing immune competence with increasing age. Literature reviews in Medline and Embase were performed for pneumococcal disease incidence, risk factors, vaccination rates and effectiveness in the elderly. The introduction of protein-conjugated pneumoccal vaccines (PCV) for children markedly reduced IPD and PP in seniors, but serotypes not included in vaccines and with previously low levels increased. Pneumococcal polysaccharide (PPV23) vaccination does not change nasal and pharyngeal carriage rates. Pneumococcal and influenza vaccination rates in seniors are below guideline levels, especially in older seniors and nursing home staff. Pneumococcal and influenza carriage and vaccination rates of family members, nursing home health care workers and other contacts are unknown. National vaccination programmes are effective in increasing vaccination rates. Detection of IPD and PP initially depend on clinical symptoms and new chest X ray infiltrates and then varies according to the population and laboratory tests used. To understand how seniors and especially older seniors acquire PP and IPD data are needed on pneumococcal disease and carriage rates in family members, carers and contacts. Nursing homes need reconfiguring into small units with air ventilation externally from all rooms to minimise respiratory disease transmission and dedicated staff for each unit to minimise transmision of infectious diseaases.
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Affiliation(s)
- Roger E Thomas
- Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
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13
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Werbrouck A, Schmidt M, Annemans L, Duyck J, Janssens B, Simoens S, Verhaeghe N, Putman K. Oral healthcare delivery in institutionalised older people: A health-economic evaluation. Gerodontology 2021; 39:107-120. [PMID: 33491785 DOI: 10.1111/ger.12530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/30/2020] [Accepted: 12/15/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES This health-economic evaluation aimed to assess the cost-effectiveness of a number of alternatives for preventive and curative oral health care in institutionalised older people in Flanders. METHODS A six-state Markov model was used to compare expected costs and healthy oral years (HOYs) of four alternatives: (1) usual care; (2) on-site preventive care; (3) on-site preventive care + curative care in the community; and (4) on-site preventive care + on-site curative care. A healthcare payer perspective was adopted, and the time horizon was 10 years. Deterministic and probabilistic sensitivity analyses were performed. RESULTS Incremental cost-effectiveness ratios (ICERs) of alternatives 2, 3 and 4 (all compared to alternative 1) were as follows: (2) 7944 €/HOY gained; (3) 1576 €/HOY gained; and (4) 1132 €/HOY gained. Hence, alternatives 2 and 3 were not cost-effective compared to alternative 4. The probability that oral care interventions are more effective and cost-saving than usual care was <3% for all three interventions. CONCLUSIONS For institutionalised older people, on-site solutions for preventive and curative oral health care might be the most cost-effective alternative. It should be kept in mind that on-site solutions require large initial investment and that the advanced age of the population and the high costs of oral health care make it unlikely that these interventions would become cost-saving, even in the long term.
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Affiliation(s)
- Amber Werbrouck
- Department of Public Health and Primary Care, Interuniversity Centre for Health Economics Research (I-CHER), Ghent University, Ghent, Belgium.,Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Department of Public Health, Interuniversity Centre for Health Economics Research (I-CHER), Vrije Universiteit Brussel, Brussels, Belgium
| | - Masja Schmidt
- Department of Public Health, Interuniversity Centre for Health Economics Research (I-CHER), Vrije Universiteit Brussel, Brussels, Belgium
| | - Lieven Annemans
- Department of Public Health and Primary Care, Interuniversity Centre for Health Economics Research (I-CHER), Ghent University, Ghent, Belgium.,Department of Public Health, Interuniversity Centre for Health Economics Research (I-CHER), Vrije Universiteit Brussel, Brussels, Belgium
| | - Joke Duyck
- Department of Oral Health Sciences, KU Leuven & University Hospitals Leuven, Leuven, Belgium
| | - Barbara Janssens
- Department of Oral Health Sciences, Special Needs in Oral Health, Gerodontology, Ghent University, Ghent, Belgium
| | - Steven Simoens
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Nick Verhaeghe
- Department of Public Health and Primary Care, Interuniversity Centre for Health Economics Research (I-CHER), Ghent University, Ghent, Belgium.,HIVA Research Institute for Work and Society, KU Leuven, Leuven, Belgium
| | - Koen Putman
- Department of Public Health, Interuniversity Centre for Health Economics Research (I-CHER), Vrije Universiteit Brussel, Brussels, Belgium
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14
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Bosco E, Zullo AR, McConeghy KW, Moyo P, van Aalst R, Chit A, Mwenda KM, Panozzo CA, Mor V, Gravenstein S. Geographic Variation in Pneumonia and Influenza in Long-Term Care Facilities: A National Study. Clin Infect Dis 2020; 71:e202-e205. [PMID: 31995171 PMCID: PMC7643743 DOI: 10.1093/cid/ciaa081] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 01/24/2020] [Indexed: 11/13/2022] Open
Abstract
There is large county-level geographic variation in pneumonia and influenza hospitalizations among short-stay and long-stay long-term care facility residents in the United States. Long-term care facilities in counties in the Southern and Midwestern regions had the highest rates of pneumonia and influenza from 2013 to 2015. Future research should identify reasons for these geographic differences.
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Affiliation(s)
- Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA
- Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania, USA
- Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Kevin M Mwenda
- Spatial Structures in the Social Sciences (S4), Population Studies and Training Center (PSTC), Brown University, Providence, Rhode Island, USA
| | - Catherine A Panozzo
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
- Department of Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
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15
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Bardenheier BH, Baier RR, Silva JB, Gravenstein S, Moyo P, Bosco E, Ogarek J, van Aalst R, Chit A, Zullo AR. Persistence of Racial Inequities in Receipt of Influenza Vaccination among Nursing Home Residents in the United States. Clin Infect Dis 2020; 73:e4361-e4368. [PMID: 32990309 PMCID: PMC8662763 DOI: 10.1093/cid/ciaa1484] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Indexed: 11/13/2022] Open
Abstract
Background We sought to determine if racial differences in influenza vaccination among nursing home (NH) residents during the 2008–2009 influenza season persisted in 2018–2019. Methods We conducted a cross-sectional study of NHs certified by the Centers for Medicare & Medicaid Services during the 2018–2019 influenza season in US states with ≥1% Black NH residents and a White–Black gap in influenza vaccination of NH residents (N = 2 233 392) of at least 1 percentage point (N = 40 states). NH residents during 1 October 2018 through 31 March 2019 aged ≥18 years and self-identified as being of Black or White race were included. Residents’ influenza vaccination status (vaccinated, refused, and not offered) was assessed. Multilevel modeling was used to estimate facility-level vaccination status and inequities by state. Results The White–Black gap in influenza vaccination was 9.9 percentage points. In adjusted analyses, racial inequities in vaccination were more prominent at the facility level than at the state level. Black residents disproportionately lived in NHs that had a majority of Blacks residents, which generally had the lowest vaccination. Inequities were most concentrated in the Midwestern region, also the most segregated. Not being offered the vaccine was negligible in absolute percentage points between White residents (2.6%) and Black residents (4.8%), whereas refusals were higher among Black (28.7%) than White residents (21.0%). Conclusions The increase in the White–Black vaccination gap among NH residents is occurring at the facility level in more states, especially those with the most segregation.
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Affiliation(s)
- Barbara H Bardenheier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.,Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Center for Gerontology and Healthcare Research, Providence, RI, USA
| | - Rosa R Baier
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.,Center for Long-Term Care Quality & Innovation, Providence, RI, USA
| | - Joe B Silva
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.,Center for Gerontology and Healthcare Research, Providence, RI, USA.,Center for Long-Term Care Quality & Innovation, Providence, RI, USA.,Center of Innovation in Long-Term Services and Supports, Providence, RI, USA.,Providence Veterans Affairs Medical Center, Providence, RI, USA.,Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.,Center for Gerontology and Healthcare Research, Providence, RI, USA
| | - Jessica Ogarek
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, PA USA.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, PA USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario Canada
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.,Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Center of Innovation in Long-Term Services and Supports, Providence, RI, USA.,Providence Veterans Affairs Medical Center, Providence, RI, USA.,Department of Pharmacy, Rhode Island Hospital, Providence, RI, USA
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16
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Omissions of Care in Nursing Home Settings: A Narrative Review. J Am Med Dir Assoc 2020; 21:604-614.e6. [DOI: 10.1016/j.jamda.2020.02.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 02/11/2020] [Accepted: 02/19/2020] [Indexed: 02/06/2023]
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17
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Moyo P, Zullo AR, McConeghy KW, Bosco E, van Aalst R, Chit A, Gravenstein S. Risk factors for pneumonia and influenza hospitalizations in long-term care facility residents: a retrospective cohort study. BMC Geriatr 2020; 20:47. [PMID: 32041538 PMCID: PMC7011520 DOI: 10.1186/s12877-020-1457-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 02/03/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Older adults who reside in long-term care facilities (LTCFs) are at particularly high risk for infection, morbidity and mortality from pneumonia and influenza (P&I) compared to individuals of younger age and those living outside institutional settings. The risk factors for P&I hospitalizations that are specific to LTCFs remain poorly understood. Our objective was to evaluate the incidence of P&I hospitalization and associated person- and facility-level factors among post-acute (short-stay) and long-term (long-stay) care residents residing in LTCFs from 2013 to 2015. METHODS In this retrospective cohort study, we used Medicare administrative claims linked to Minimum Data Set and LTCF-level data to identify short-stay (< 100 days, index = admission date) and long-stay (100+ days, index = day 100) residents who were followed from the index date until the first of hospitalization, LTCF discharge, Medicare disenrollment, or death. We measured incidence rates (IRs) for P&I hospitalization per 100,000 person-days, and estimated associations with baseline demographics, geriatric syndromes, clinical characteristics, and medication use using Cox regression models. RESULTS We analyzed data from 1,118,054 short-stay and 593,443 long-stay residents. The crude 30-day IRs (95% CI) of hospitalizations with P&I in the principal position were 26.0 (25.4, 26.6) and 34.5 (33.6, 35.4) among short- and long-stay residents, respectively. The variables associated with P&I varied between short and long-stay residents, and common risk factors included: advanced age (85+ years), admission from an acute hospital, select cardiovascular and respiratory conditions, impaired functional status, and receipt of antibiotics or Beers criteria medications. Facility staffing and care quality measures were important risk factors among long-stay residents but not in short-stay residents. CONCLUSIONS Short-stay residents had lower crude 30- and 90-day incidence rates of P&I hospitalizations than long-stay LTCF residents. Differences in risk factors for P&I between short- and long-stay populations suggest the importance of considering distinct profiles of post-acute and long-term care residents in infection prevention and control strategies in LTCFs. These findings can help clinicians target interventions to subgroups of LTCF residents at highest P&I risk.
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Affiliation(s)
- Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-6, Providence, RI, 02912, USA. .,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA.
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-6, Providence, RI, 02912, USA.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA.,Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-6, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-6, Providence, RI, 02912, USA.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, PA, USA.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, PA, USA.,Leslie Dan School of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-6, Providence, RI, 02912, USA.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, RI, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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18
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McConeghy KW, Lee Y, Zullo AR, Banerjee G, Daiello L, Dosa D, Kiel DP, Mor VM, Berry SD. Influenza Illness and Hip Fracture Hospitalizations in Nursing Home Residents: Are They Related? J Gerontol A Biol Sci Med Sci 2019; 73:1638-1642. [PMID: 29095964 DOI: 10.1093/gerona/glx200] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Indexed: 11/12/2022] Open
Abstract
Background Influenza illness may impact the risk of falls and fractures during acute illness due to unsteady gait or dizziness. We evaluated the association between influenza and hip fracture hospitalizations in long-stay (LS) nursing home (NH) residents. Methods We analyzed weekly rates of hospitalization in a retrospective cohort of LS NH residents between January 1, 2000 to December 31, 2009. Hip fracture and influenza like illness (ILI) hospitalizations were identified with Medicare fee-for-service part A claims. We evaluated unadjusted and adjusted models with the primary exposures, weekly rate of influenza-like illness hospitalizations, city-wide mortality, and NH influenza vaccination rate and primary outcome of weekly rate of hip fracture hospitalizations. Results There were 9,237 incident hip fractures in the cohort. Facility wide ILI hospitalization rate was associated with the hip fracture hospitalization rate in the unadjusted (incidence rate ratio [IRR] 1.13, 95% confidence interval [CI]: 1.08, 1.17) and adjusted (IRR 1.13, 95% CI: 1.09, 1.18) analyses. City-wide influenza mortality was associated with hip fracture hospitalization rates for the unadjusted (IRR 1.03, 95% CI: 1.02, 1.04), and adjusted (IRR 1.02, 95% CI: 1.01, 1.03) analyses. NH influenza vaccination rates were not associated with changes in hip fracture hospitalization rates. Conclusions ILI hospitalizations are associated with a 13% average increase in hip fracture hospitalization risk. In a given NH week, an increase in the number ILI hospitalizations from none to two was associated with an approximate one percentage point increase in hip fracture hospitalization risk. Strategies to reduce influenza risk should be investigated to reduce hip fracture risk.
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Affiliation(s)
- Kevin W McConeghy
- Providence VA Medical Center, Providence, Rhode Island.,Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Geetanjoli Banerjee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Lori Daiello
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - David Dosa
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Douglas P Kiel
- Hebrew SeniorLife, Institute for Aging Research, Boston, Massachusetts.,Department of Medicine, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, Massachusetts
| | - Vincent M Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Sarah D Berry
- Hebrew SeniorLife, Institute for Aging Research, Boston, Massachusetts.,Department of Medicine, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, Massachusetts
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19
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Childs A, Zullo AR, Joyce NR, McConeghy KW, van Aalst R, Moyo P, Bosco E, Mor V, Gravenstein S. The burden of respiratory infections among older adults in long-term care: a systematic review. BMC Geriatr 2019; 19:210. [PMID: 31382895 PMCID: PMC6683564 DOI: 10.1186/s12877-019-1236-6] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 07/30/2019] [Indexed: 11/22/2022] Open
Abstract
Background Respiratory infections among older adults in long-term care facilities (LTCFs) are a major global concern, yet a rigorous systematic synthesis of the literature on the burden of respiratory infections in the LTCF setting is lacking. To address the critical need for evidence regarding the global burden of respiratory infections in LTCFs, we assessed the burden of respiratory infections in LTCFs through a systematic review of the published literature. Methods We identified articles published between April 1964 and March 2019 through searches of PubMed (MEDLINE), EMBASE, and the Cochrane Library. Experimental and observational studies published in English that included adults aged ≥60 residing in LTCFs who were unvaccinated (to identify the natural infection burden), and that reported measures of occurrence for influenza, respiratory syncytial virus (RSV), or pneumonia were included. Disagreements about article inclusion were discussed and articles were included based on consensus. Data on study design, population, and findings were extracted from each article. Findings were synthesized qualitatively. Results A total of 1451 articles were screened for eligibility, 345 were selected for full-text review, and 26 were included. Study population mean ages ranged from 70.8 to 90.1 years. Three (12%) studies reported influenza estimates, 7 (27%) RSV, and 16 (62%) pneumonia. Eighteen (69%) studies reported incidence estimates, 7 (27%) prevalence estimates, and 1 (4%) both. Seven (27%) studies reported outbreaks. Respiratory infection incidence estimates ranged from 1.1 to 85.2% and prevalence estimates ranging from 1.4 to 55.8%. Influenza incidences ranged from 5.9 to 85.2%. RSV incidence proportions ranged from 1.1 to 13.5%. Pneumonia prevalence proportions ranged from 1.4 to 55.8% while incidence proportions ranged from 4.8 to 41.2%. Conclusions The reported incidence and prevalence estimates of respiratory infections among older LTCF residents varied widely between published studies. The wide range of estimates offers little useful guidance for decision-making to decrease respiratory infection burden. Large, well-designed epidemiologic studies are therefore still necessary to credibly quantify the burden of respiratory infections among older adults in LTCFs, which will ultimately help inform future surveillance and intervention efforts. Electronic supplementary material The online version of this article (10.1186/s12877-019-1236-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Arielle Childs
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA
| | - Andrew R Zullo
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA. .,Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA. .,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA.
| | - Nina R Joyce
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.,Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, PA, USA.,Faculty of Medical Sciences, University of Groningen, Groningen, NL, the Netherlands
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA
| | - Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
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20
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Wiese AD, Griffin MR, Grijalva CG. Impact of pneumococcal conjugate vaccines on hospitalizations for pneumonia in the United States. Expert Rev Vaccines 2019; 18:327-341. [PMID: 30759352 PMCID: PMC6443450 DOI: 10.1080/14760584.2019.1582337] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 02/11/2019] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Pneumonia is one of the leading causes of morbidity and mortality among children and older adults. Pneumococcal conjugate vaccines (PCVs) were introduced into the US routine infant vaccination schedule leading to substantial reductions of invasive pneumococcal diseases (IPD). PCV introduction also led to reductions in all-cause pneumonia among US children, though the indirect impact of PCVs on pneumonia in adults is difficult to quantify, especially due to the recent US recommendation for direct PCV use in older adults. Areas covered: We described the existing evidence for both the direct and indirect impact of PCVs on pneumonia among children and adults in the US since PCV introduction. Expert commentary: The introduction of PCVs into the US routine infant vaccination schedule led to important reductions in the burden of IPD and non-invasive pneumonia among vaccinated and unvaccinated populations. The impact of direct vaccination of older adults in the US since 2014, though difficult to quantify, is currently being evaluated. As pneumonia remains one of the leading causes of morbidity and mortality in the US, future evaluations of the direct and indirect effects of current and expanded valency PCVs in the US population are needed.
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Affiliation(s)
- Andrew D. Wiese
- Department of Health Policy, Vanderbilt University, Nashville, Tennessee, USA
| | - Marie R. Griffin
- Department of Health Policy, Vanderbilt University, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
- The Mid-South Geriatric Research Education and Clinical Center, VA Tennessee Valley Health Care System, Nashville, Tennessee, USA
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
- The Mid-South Geriatric Research Education and Clinical Center, VA Tennessee Valley Health Care System, Nashville, Tennessee, USA
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21
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Seasonal and circadian patterns of myocardial infarction by coronary artery disease status and sex in the ACTION Registry-GWTG. Int J Cardiol 2018; 274:16-20. [PMID: 30217419 DOI: 10.1016/j.ijcard.2018.08.103] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 08/31/2018] [Accepted: 08/31/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND Myocardial infarction (MI) presentations are more common during winter months and morning hours. However, it is unknown whether MI with obstructive coronary artery disease (MI-CAD) and non-obstructive CAD (MINOCA) display similar patterns. METHODS We evaluated seasonal and circadian patterns of MI presentation by coronary artery disease (CAD) status and sex in patients with MI from 2007 to 2014 in the National Cardiovascular Data Registry (NCDR) Acute Coronary Treatment Intervention Outcomes Network (ACTION) Registry-Get With the Guidelines. Adult patients who underwent coronary angiography for MI were included. Patients with missing age, sex, or angiographic data, cocaine use, thrombolytic therapy prior to catheterization, or prior revascularization were excluded. Baseline demographics and characteristics of symptom onset, including season and time of day of presentation, were compared by CAD status and sex. RESULTS Among 322,523 patients, 112,547 were female (35%); 18,918 had MINOCA (5.9%). There was no seasonal pattern of MI overall. However, both men and women with MINOCA presented more often in the summer and fall while MI-CAD presentations were equally distributed across seasons. The most common time of presentation was 8 am-2 pm regardless of CAD status or sex. A secondary peak in women with MINOCA during late afternoon hours was also identified. CONCLUSIONS Seasonal variation of MI differed between MINOCA and MI-CAD, with a small increase in MINOCA incidence in the summer and fall. MINOCA and MI-CAD most commonly occurred in the morning, with a secondary peak in late afternoon in women with MINOCA. These differences in presentation may relate to underlying MI pathophysiology.
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