| Literature DB >> 32274750 |
Laura L Hall1, Liou Xu2, Salaheddin M Mahmud3, Gary A Puckrein2, Ed W Thommes4, Ayman Chit4.
Abstract
INTRODUCTION: Despite improved understanding of the risks of influenza and better vaccines for older patients, influenza vaccination rates remain subpar, including in high-risk groups such as older adults, and demonstrate significant racial and ethnic disparities.Entities:
Keywords: Disparities; Geomapping; Infectious diseases; Influenza vaccine; Medicare
Mesh:
Substances:
Year: 2020 PMID: 32274750 PMCID: PMC7467464 DOI: 10.1007/s12325-020-01324-y
Source DB: PubMed Journal: Adv Ther ISSN: 0741-238X Impact factor: 3.845
Influenza immunization by beneficiary demographic characteristics
| Total study cohort ( | Total vaccinated % ( | HD % ( | SD % ( | |
|---|---|---|---|---|
| Overall | 26,466,244 | 47.4% (12,557,232) | 25.0% (6,613,247) | 22.4% (5,943,985) |
| Age group | ||||
| 65 ≤ age < 70 | 8,670,811 | 39.9% (3,462,763) | 21.0% (1,824,957) | 18.9% (1,637,806) |
| 70 ≤ age < 75 | 6,391,918 | 48.3% (3,087,771) | 26.5% (1,693,712) | 21.8% (1,394,059) |
| 75 ≤ age < 80 | 4,646,357 | 52.3% (2,428,234) | 28.2% (1,309,946) | 24.1% (1,118,288) |
| Age ≥ 80 | 6,757,158 | 53.0% (3,578,464) | 26.4% (1,784,632) | 26.5% (1,793,832) |
| Gender | ||||
| Male | 11,631,495 | 44.8% (5,213,908) | 24.0% (2,788,594) | 20.9% (2,425,314) |
| Female | 14,834,747 | 49.5% (7,343,323) | 25.8% (3,824,653) | 23.7% (3,518,670) |
| Race | ||||
| White | 22,490,404 | 49.4% (11,100,020) | 26.6% (5,988,474) | 22.7% (5,111,546) |
| Black | 2,054,934 | 32.6% (670,797) | 13.4% (275,971) | 19.2% (394,826) |
| Asian | 535,452 | 47.6% (254,805) | 19.2% (103,058) | 28.3% (151,747) |
| Hispanic | 454,921 | 29.1% (132,170) | 11.0% (50,263) | 18.0% (81,907) |
| Other | 573,165 | 43.4% (248,506) | 19.6% (112,556) | 23.7% (135,950) |
Immunization of beneficiaries with chronic condition
| Total study cohort ( | Total vaccinated % ( | HD % ( | SD % ( | |
|---|---|---|---|---|
| Had any chronic condition | 18,250,011 | 54.0% (9,857,004) | 27.6% (5,030,020) | 26.4% (4,826,984) |
| Number of chronic conditions | ||||
| 0 | 8,216,233 | 32.9% (2,700,228) | 19.3% (1,583,227) | 13.6% (1,117,001) |
| 1 | 8,844,665 | 53.5% (4,729,412) | 29.0% (2,567,578) | 24.4% (2,161,834) |
| 2 | 5,932,987 | 54.8% (3,253,338) | 27.4% (1,628,589) | 27.4% (1,624,749) |
| 3 + | 3,472,359 | 54.0% (1,874,254) | 24.0% (833,853) | 30.0% (1,040,401) |
Beneficiary service utilization characteristics
| Total study cohort ( | Total vaccinated % ( | HD % ( | SD % ( | |
|---|---|---|---|---|
| Number of hospitalizations | ||||
| 0 | 22,760,645 | 47.3% (10,762,114) | 25.4% (5,770,179) | 21.9% (4,991,935) |
| 1 | 2,562,198 | 50.3% (1,288,416) | 24.4% (624,877) | 25.9% (663,539) |
| 2 + | 1,143,401 | 44.3% (506,702) | 19.1% (218,191) | 25.2% (288,511) |
| Number of outpatient ER visits | ||||
| 0 | 20,768,473 | 46.6% (9,676,596) | 25.0% (5,200,039) | 21.6% (4,476,557) |
| 1 | 3,824,399 | 51.3% (1,960,069) | 25.9% (989,390) | 25.4% (970,679) |
| 2 + | 1,873,372 | 49.1% (920,567) | 22.6% (423,818) | 26.5% (496,749) |
| Number of physician visits | ||||
| ≤ 2 | 7,821,959 | 25.4% (1,983,977) | 13.4% (1,044,820) | 12.0% (939,157) |
| 3–5 | 5,701,368 | 49.4% (2,815,407) | 27.0% (1,538,079) | 22.4% (1,277,328) |
| 6–10 | 6,495,851 | 57.2% (3,715,403) | 30.6% (1,985,949) | 26.6% (1,729,454) |
| > 10 | 6,447,066 | 62.7% (4,042,445) | 31.7% (2,044,399) | 31.0% (1,998,046) |
| Number of Part D prescriptions | ||||
| 0 | 10,022,110 | 36.0% (3,607,843) | 19.0% (1,903,379) | 17.0% (1,704,464) |
| 1–10 | 2,927,459 | 44.4% (1,299,968) | 25.7% (753,649) | 18.7% (546,319) |
| 11–30 | 6,373,719 | 56.5% (3,602,608) | 31.7% (2,020,422) | 24.8% (1,582,186) |
| > 30 | 7,142,956 | 56.7% (4,046,813) | 27.1% (1,935,797) | 29.6% (2,111,016) |
Consumption clusters and IIV uptake
| Consumption clusters | Total study cohort ( | Total vaccinated % ( | HD % ( | SD % (N) |
|---|---|---|---|---|
| Crisis (99th percentile) | 176,104 | 36.4% (64,145) | 27.6% (5,030,020) | 26.4% (4,826,984) |
| Heavy (90–98th percentile) | 1,892,168 | 47.8% (904,916) | 19.3% (1,583,227) | 13.6% (1,117,001) |
| Moderate (75–89th percentile) | 3,727,310 | 55.5% (2,069,866) | 29.0% (2,567,578) | 24.4% (2,161,834) |
| Light (50–49th percentile) | 6,446,762 | 58.3% (3,757,489) | 27.4% (1,628,589) | 27.4% (1,624,749) |
| Low (1–49th percentile) | 14,223,900 | 40.5% (5,760,816) | 22.3% (3,174,043) | 18.2% (2,586,773) |
Regional variation in vaccination
| Total study cohort ( | Total vaccinated % ( | HD % ( | SD % ( | |
|---|---|---|---|---|
| Region | ||||
| Northeast | 4,868,072 | 50.8% (2,471,160) | 25.9% (1,260,686) | 24.9% (1,210,474) |
| Midwest | 5,923,190 | 48.8% (2,891,825) | 27.1% (1,604,877) | 21.7% (1,286,948) |
| South | 10,438,678 | 47.4% (4,943,052) | 24.5% (2,555,044) | 22.9% (2,388,008) |
| West | 5,112,420 | 43.7% (2,234,476) | 23.2% (1,188,317) | 20.5% (1,046,159) |
| Other | 123,884 | 13.5% (16,719) | 3.5% (4,323) | 10.0% (12,396) |
| Rural/urban area | ||||
| Urban | 20,714,927 | 48.5% (10,045,128) | 26.4% (5,474,295) | 22.1% (4,570,833) |
| Rural | 5,751,317 | 43.7% (2,512,104) | 19.8% (1,138,952) | 23.9% (1,373,152) |
Fig. 1IIV uptake mapped to the zip code level for white Medicare FFS beneficiaries
Fig. 2IIV uptake mapped to the zip code level for black Medicare FFS beneficiaries
Fig. 3IIV uptake mapped to the zip code level for Hispanic Medicare FFS beneficiaries
Fig. 4IIV uptake mapped to the zip code level for New York city region Medicare FFS beneficiaries
| Despite improved understanding of the risks of influenza and better vaccines for older patients, influenza vaccination rates remain subpar, including in high-risk groups such as older adults, and demonstrate significant racial and ethnic disparities. |
| The study considers demographic, clinical, and geographic correlates of influenza vaccination among Medicare Fee-for-Service beneficiaries in the 2015-2016 flu season. |
| Non-white beneficiaries, people dwelling in rural communities, and economically disadvantaged individuals are significantly less likely to receive a flu vaccine, especially a newer, more effective formula for older adults. |
| Vaccination rates vary geographically as well. |
| More frequent ambulatory care visits and prescriptions correlate with higher rates of vaccination. |
| Geographically and demographically targeted efforts may be required to better protect vulnerable older adults from influenza. |
| Ambulatory providers are potential resources for increasing flu vaccination. |
| Further analyses are required to understand these correlates of flu vaccination. |