ABSTRACT
Background: In September 2014, 13-valent pneumococcal conjugate vaccine (PCV13) was universally recommended for all US adults aged ≥65 years. Adult PCV13 coverage, including whether disparities in uptake exist, however, is not well-described.
Methods: We used a monthly series of cross-sectional analyses of administrative medical and prescription claims data collected by IQVIA and linked to sociodemographic data collected by Experian to estimate overall and subpopulation-level uptake of PCV13 among US adults aged ≥65 years.
Results: Among adults aged ≥65 years, 43.3% received PCV13 by the end of November 2017. Race/ethnicity, annual household income, education status, and neighborhood urbanicity were strongly related to PCV13 uptake among adults aged ≥65 years. Lower uptake of PCV13 was observed for non-Hispanic black (36.3%) and Hispanic (30.0%) adults (vs 45.6% for non-Hispanic whites, P < .01), the poor (30.7% vs 54.2% among lowest vs highest income deciles, P < .01), adults with low educational status (33.0% vs 49.0% among those without high school education vs college educated, P < .01), and those living in rural communities (22.9%) or urban/inner-city (33.8%) areas (vs 45.8% in suburban areas, P < .01).
Conclusions: PCV13 uptake among adults aged ≥65 occurred rapidly in the three years after universal recommendation in September 2014. Yet, poor and minority communities, rural and urban/inner-city areas, and communities with low educational attainment had substantially lower PCV13 coverage. These same populations are at increased risk of pneumococcal disease. In order to maximize the benefits of pneumococcal vaccination, further targeted and tailored interventions to increase PCV13 uptake in these underserved populations are still necessary.
KEYWORDS: Disparities, pneumococcal vaccination, 13-valent pneumococcal conjugate vaccine (PCV13), race/ethnicity, socioeconomic status (SES)
Introduction
In September 2014, the US Centers for Disease Control and Prevention (CDC) Advisory Committee on Immunization Practice (ACIP) recommended 13-valent pneumococcal conjugate vaccine (PCV13) for all adults aged ≥65 years.1 Use of PCV13 was based primarily on results of the Community-Acquired Pneumonia Immunization Trial in Adults (CAPiTA) study, which showed that PCV13 reduced vaccine-type pneumococcal community-acquired pneumonia (CAP) in older adults.2 ACIP estimated that approximately 12,000 cases of vaccine-type CAP would be avoided with the added use of PCV13 in adults aged ≥65 years at the time of the 2014 recommendation.1,3,4
In the years following this updated ACIP pneumococcal vaccination recommendation, however, data describing PCV13 uptake among adults aged ≥65 years are limited. CDC does routinely assess uptake of adult pneumococcal vaccination as part of the National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS), however, both surveys have two primary limitations. First, data are primarily self-reported in both surveys and are subject to recall bias. Secondly, and more importantly, neither BRFSS nor NHIS offer vaccine-specific estimates of uptake for adult pneumococcal vaccination now that two vaccines are recommended. That is, both surveys ask respondents “have you ever had any pneumococcal vaccine?” This prevents both surveys from distinguishing between PCV13 and 23-valent pneumococcal plain-polysaccharide vaccine (PPV23) uptake.
A CDC report of Medicare enrollees estimated that 32% of Medicare beneficiaries had received PCV13 by September 2016, and that non-Hispanic black and Hispanic adults had lower uptake of PCV13 compared to non-Hispanic white adults.5 However, uptake of adult PCV13 has occurred rapidly, and more recent uptake estimates are not available. Moreover, the CDC report only evaluated differences in PCV13 uptake by race/ethnicity. We estimated national-level PCV13 uptake in the years following updated ACIP adult pneumococcal recommendations through November of 2017 among US adults aged ≥65 years, and determined if disparities in PCV13 uptake existed across a large number of important sociodemographic factors (ie, beyond race alone).
Results
Overall estimated PCV13 uptake
At the end of September 2014, an estimated 1.2% of adults aged ≥65 years in the United States had ever received PCV13 based on the IQVIA stable panel (after applying inverse proportional US population weights). By the end of September 2015, however, that number had climbed to 15.8% and was 31.5% by the end of September 2016. At the end of our study period (November 30, 2017), an estimated 43.3% (22,223,586/51,341,406) of US adults aged ≥65 years had received PCV13 (Figure 1).
Figure 1.

Percentage of US Adults Aged ≥65 Years Who Received PCV13 by month in the IQVIA Database, September 2014 – November 2017. a,b
PCV13 = 13-valent pneumococcal vaccine.a PCV13 was recommended for universal use for all adults aged ≥65 years in September of 2014.b Based on monthly IQVIA “stable panel” claims for PCV13 receipt extrapolated to the US population using inverse proportional weighting to account for the fact that the stable panel is not a perfect capture of all US medical and prescription services. Weights for each site of care (ie, outpatient practice, pharmacy, or the hospital setting) are determined by comparing the proportion of providers captured in the stable panel to national estimates of the total number of US providers in each setting.
Subpopulation-specific uptake of PCV13
As of November 30, 2017, an estimated 51,341,406 persons were aged ≥65 years in the United States (based on the linear interpolation method described in the Methods section). Of which, Experian sociodemographic data were available for 34,510,923 (67.2%). Subpopulation-specific estimates of PCV13 uptake in adults aged ≥65 years were based on 8,133,847 individuals (23.6% of Experian population aged ≥65 years; 15.8% of total US population aged ≥65 years) who were identified in both the IQVIA stable panel and the Experian database (ie, IQVIA-Experian-linked population). Within the IQVIA-Experian-linked population, median age was 73 years and 56.1% were female. Nearly all adults were non-Hispanic white (80.1%), non-Hispanic black (8.2%), or Hispanic (6.0%). Median annual household income was $53,000 and most respondents were retired (68.5%), lived in a suburban/metropolitan area outside of a major urban center (85.0%), and owned (vs rented) their primary home (89.3%). Roughly a third (32.8%) had completed a four-year college degree. A minority of adults had children (age <18 years) in the home (12.4%) (Table 1). Compared to the general US population of adults aged ≥65 years,6-9 IQVIA-Experian-linked adults were similar in age (median for both was 73 years) but had a higher proportion of non-Hispanic whites (80.1% vs 77.3%), a higher proportion that completed high school (90.2% vs 84.3%), a higher median income ($53,000 vs $42,113), and higher percentage of home ownership (89.3% vs 78.7%).
Table 1.
Proportion of US Adults Aged ≥65 Years Who Ever Received PCV13 by Sociodemographic Characteristic in the IQVIA-Experian-Linked Database, November 2017 (n = 8,133,847).
| Sociodemographic Characteristic | IQVIA-Experian-Linked Population n (%) | Ever Received PCV13 a% |
|---|---|---|
| Total | 8,133,847 (100.0) | 43.3 |
| Age | ||
| 65–74 | 4,613,394 (56.7) | 48.3 |
| 75–84 | 2,559,331 (31.5) | 43.2 |
| ≥85 | 961,122 (11.8) | 25.7 |
| Gender | ||
| Female | 4,565,850 (56.1) | 45.1 |
| Male | 3,566,645 (43.8) | 41.5 |
| Race/Ethnicity | ||
| White, non-Hispanic | 6,561,338 (80.1) | 45.6 |
| Black, non-Hispanic | 667,364 (8.2) | 36.3 |
| Hispanic | 490,523 (6.0) | 30.0 |
| Asian or Other, non-Hispanic | 229,524 (2.8) | 36.4 |
| Unknown | 185,098 (2.3) | 44.2 |
| Annual Household Income Adjusted for State of Residence | ||
| Highest Decile (10%) | 999,791 (12.3) | 54.2 |
| 90th percentile | 950,424 (11.7) | 51.3 |
| 80th percentile | 922,036 (11.3) | 49.1 |
| 70th percentile | 909,280 (11.2) | 47.2 |
| 60th percentile | 875,175 (10.8) | 43.9 |
| 50th percentile | 845,927 (10.4) | 41.2 |
| 40th percentile | 802,224 (9.9) | 38.9 |
| 30th percentile | 739,335 (9.1) | 36.7 |
| 20th percentile | 624,656 (7.7) | 33.8 |
| Lowest Decile (10%) | 461,657 (5.7) | 30.7 |
| Unknown | 3,342 (0.0) | 43.0 |
| Homeowner Status | ||
| Home owner | 7,265,823 (89.3) | 44.7 |
| Renter | 572,377 (7.0) | 32.7 |
| Unknown | 295,647 (3.6) | 37.4 |
| Education Status | ||
| Graduate degree (master’s, doctoral, professional) | 1,023,426 (12.6) | 49.5 |
| College degree | 1,641,227 (20.2) | 48.6 |
| Some college, no degree | 1,479,763 (18.2) | 43.2 |
| High school diploma or equivalent | 3,189,437 (39.2) | 42.3 |
| Less than High School | 791,131 (9.7) | 33.0 |
| Unknown | 8,863 (0.1) | 42.9 |
| Occupational Status | ||
| Retired | 5,571,917 (68.5) | 42.5 |
| Employed – blue collar, farming, fishing, or forestry | 373,891 (4.6) | 40.1 |
| Employed – office work or sales | 471,321 (5.8) | 44.7 |
| Employed – other | 1,707,855 (21.0) | 46.8 |
| Unknown | 8,863 (0.1) | 42.9 |
| Urbanicity | ||
| Suburban/Metropolitan | 6,914,586 (85.0) | 45.8 |
| Urban | 1,113,843 (13.7) | 33.8 |
| Rural | 105,041 (1.3) | 22.9 |
| Unknown | 377 (0.0) | 50.2 |
| Geographic Region b | ||
| New England | 428,700 (5.3) | 53.5 |
| Mideast | 1,365,370 (16.8) | 48.3 |
| Great Lakes | 1,307,445 (16.1) | 45.1 |
| Plains | 473,188 (5.8) | 34.1 |
| Southeast | 2,409,353 (29.6) | 50.7 |
| Southwest | 842,980 (10.4) | 31.5 |
| Rocky Mountain | 247,485 (3.0) | 40.5 |
| Far West | 1,059,326 (13.0) | 32.1 |
| Children Living in Household | ||
| Yes | 1,008,230 (12.4) | 41.4 |
| No | 7,125,617 (87.6) | 43.7 |
| Influenza Vaccination Status | ||
| Not Vaccinated in Last Year or Unknown | 1,995,496 (24.5) | 24.8 |
| Vaccinated in Last Year | 6,138,351 (75.5) | 68.8 |
PCV13 = 13-valent pneumococcal vaccine.
a Based on November 30, 2017 IQVIA “stable panel” claims for PCV13 receipt extrapolated to the US population using inverse proportional weighting to account for the fact that the stable panel is not a perfect capture of all US medical and prescription services. Weights for each site of care (ie, outpatient practice, pharmacy, or the hospital setting) are determined by comparing the proportion of providers captured in the stable panel to national estimates of the total number of US providers in each setting.
b Regional classifications were based on Bureau of Economic Analysis designations: http://www.bea.gov/regional/docs/regions.cfm.
New England = Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont. Mideast = Delaware, District of Columbia, Maryland, New Jersey, New York, and Pennsylvania. Great Lakes = Illinois, Indiana, Michigan, Ohio, and Wisconsin. Plains = Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota. Southeast = Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia. Southwest = Arizona, New Mexico, Oklahoma, and Texas. Rocky Mountain = Colorado, Idaho, Montana, Utah, and Wyoming. Far West = Alaska, California, Hawaii, Nevada, Oregon, and Washington.
The estimated uptake of PCV13 by the end of November 2017 was the same for adults aged ≥65 years in the IQVIA-Experian-linked database as it was for all patients originally identified in IQVIA (ie, 43.3% for both). At the crude level (Table 1), race/ethnicity, annual household income, education status, and neighborhood urbanicity were strongly related to PCV13 uptake (Figure 2). Lower uptake of PCV13 was observed for non-Hispanic black (36.3%) and Hispanic (30.0%) adults (vs 45.6% for non-Hispanic whites, P < .01), adults with low socio-economic (30.7% vs 54.2% among lowest vs highest income deciles, P < .01) or educational status (33.0% vs 49.0% among those without high school education vs college educated, P < .01), and those living in rural communities (22.9%) or urban/inner-city (33.8%) areas (vs 45.8% in suburban areas, P < .01) (Table 1, Figure 2).
Figure 2.

Percentage of US Adults Aged ≥65 Years Who Received PCV13 by (a) Race/Ethnicity, (b) Annual Household Income Decile, (c) Neighborhood Urbanicity, and (d) Education Level in the IQVIA-Experian-Linked Database, November 30, 2017 (n = 8,133,847). a
PCV13 = 13-valent pneumococcal vaccine.a Based on November 30, 2017 IQVIA “stable panel” claims for PCV13 receipt extrapolated to the US population using inverse proportional weighting to account for the fact that the stable panel is not a perfect capture of all US medical and prescription services. Weights for each site of care (ie, outpatient practice, pharmacy, or the hospital setting) are determined by comparing the proportion of providers captured in the stable panel to national estimates of the total number of US providers in each setting.
Fully-adjusted log binomial regression analyses were essentially identical to crude results, and revealed that race/ethnicity, annual household income, education status, and urbanicity were all still related to PCV13 uptake, even after simultaneous adjustment (Table 2). Sensitivity analyses showed that log binomial regression results were similar regardless of whether respondents who answered “don’t know/not sure” were included in the analysis or not (data not shown).
Table 2.
Relative Risks (RR) and 95% Confidence Intervals (95%CI) of Ever Receiving PCV13 Among US Adults Aged ≥65 Years by Sociodemographic Characteristic in the IQVIA-Experian-Linked Database, November 2017 (n = 8,133,847).
| Sociodemographic Characteristic | Crude RR | 95%CI | Fully Adj. RR | 95%CI | |
|---|---|---|---|---|---|
| Age | |||||
| 65–74 | 1.00 | 1.00 | |||
| 75–84 | 0.89 | (0.89, 0.89) | 0.88 | (0.88, 0.88) | |
| ≥85 | 0.53 | (0.53, 0.53) | 0.52 | (0.52, 0.53) | |
| Gender | |||||
| Male | 1.00 | 1.00 | |||
| Female | 0.92 | (0.92, 0.92) | 0.92 | (0.92, 0.92) | |
| Race/Ethnicity | |||||
| White, non-Hispanic | 1.00 | 1.00 | |||
| Black, non-Hispanic | 0.79 | (0.79, 0.79) | 0.80 | (0.80, 0.80) | |
| Hispanic | 0.65 | (0.65, 0.65) | 0.71 | (0.71, 0.72) | |
| Asian or Other, non-Hispanic | 0.79 | (0.79, 0.80) | 0.86 | (0.85, 0.86) | |
| Unknown | 0.96 | (0.96, 0.97) | 0.97 | (0.96, 0.97) | |
| Annual Household Income Adjusted for State of Residence | |||||
| Highest Decile (10%) | 1.00 | 1.00 | |||
| 90th percentile | 0.94 | (0.94, 0.94) | 0.94 | (0.94, 0.95) | |
| 80th percentile | 0.90 | (0.90, 0.90) | 0.90 | (0.90, 0.91) | |
| 70th percentile | 0.87 | (0.87, 0.87) | 0.87 | (0.87, 0.87) | |
| 60th percentile | 0.80 | (0.80, 0.80) | 0.81 | (0.81, 0.81) | |
| 50th percentile | 0.75 | (0.75, 0.76) | 0.76 | (0.76, 0.76) | |
| 40th percentile | 0.71 | (0.71, 0.71) | 0.72 | (0.72, 0.72) | |
| 30th percentile | 0.67 | (0.67, 0.67) | 0.68 | (0.68, 0.68) | |
| 20th percentile | 0.62 | (0.62, 0.62) | 0.63 | (0.63, 0.64) | |
| Lowest Decile (10%) | 0.56 | (0.56, 0.56) | 0.59 | (0.59, 0.59) | |
| Unknown | 0.79 | (0.77, 0.80) | 0.67 | (0.66, 0.79) | |
| Homeowner Status | |||||
| Homeowner | 1.00 | 1.00 | |||
| Renter | 0.73 | (0.72, 0.73) | 0.77 | (0.76, 0.77) | |
| Unknown | 0.83 | (0.83, 0.83) | 0.84 | (0.84, 0.84) | |
| Education Status | |||||
| Graduate degree (master’s, doctoral, or professional) | 1.00 | 1.00 | |||
| College degree | 0.98 | (0.98, 0.98) | 0.98 | (0.98, 0.98) | |
| Some college, no degree | 0.87 | (0.87, 0.87) | 0.88 | (0.88, 0.88) | |
| High school diploma or equivalent | 0.85 | (0.85, 0.85) | 0.84 | (0.84, 0.84) | |
| Less than High School | 0.66 | (0.66, 0.66) | 0.68 | (0.68, 0.69) | |
| Unknown | 0.86 | (0.85, 0.87) | 0.84 | (0.83, 0.85) | |
| Occupational Status | |||||
| Retired | 1.00 | 1.00 | |||
| Employed: blue collar, farming, fishing, or forestry | 0.94 | (0.94, 0.94) | 0.95 | (0.94, 0.95) | |
| Employed: office work or sales | 1.05 | (1.04, 1.05) | 1.05 | (1.04, 1.05) | |
| Employed: other | 1.10 | (1.09, 1.10) | 1.09 | (1.09, 1.09) | |
| Unknown | 1.00 | (0.99, 1.01) | 0.99 | (0.98, 1.01) | |
| Urbanicity | |||||
| Suburban/Metropolitan | 1.00 | 1.00 | |||
| Urban | 0.73 | (0.73, 0.73) | 0.70 | (0.70, 0.70) | |
| Rural | 0.50 | (0.49, 0.50) | 0.49 | (0.49, 0.49) | |
| Unknown | 1.09 | (1.04, 1.15) | 1.07 | (1.02, 1.18) | |
| Geographic Region a | |||||
| New England | 1.00 | 1.00 | |||
| Mideast | 0.90 | (0.90, 0.90) | 0.90 | (0.90, 0.90) | |
| Great Lakes | 0.84 | (0.84, 0.84) | 0.84 | (0.84, 0.84) | |
| Plains | 0.63 | (0.63, 0.63) | 0.64 | (0.64, 0.64) | |
| Southeast | 0.94 | (0.94, 0.94) | 0.94 | (0.94, 0.94) | |
| Southwest | 0.58 | (0.58, 0.58) | 0.59 | (0.59, 0.59) | |
| Rocky Mountain | 0.75 | (0.75, 0.75) | 0.75 | (0.74, 0.75) | |
| Far West | 0.60 | (0.60, 0.60) | 0.64 | (0.64, 0.65) | |
| Children (<18 years) Living in Household | |||||
| No | 1.00 | 1.00 | |||
| Yes | 0.94 | (0.94, 0.94) | 0.96 | (0.96, 0.96) | |
| Influenza Vaccination Status | |||||
| Vaccinated in Last Year | 1.00 | 1.00 | |||
| Not Vaccinated in Last Year or Unknown | 0.36 | (0.36, 0.36) | 0.18 | (0.18, 0.18) | |
PCV13 = 13-valent pneumococcal vaccine.
a Regional classifications were based on Bureau of Economic Analysis designations: http://www.bea.gov/regional/docs/regions.cfm.
New England = Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont. Mideast = Delaware, District of Columbia, Maryland, New Jersey, New York, and Pennsylvania. Great Lakes = Illinois, Indiana, Michigan, Ohio, and Wisconsin. Plains = Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota. Southeast = Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia. Southwest = Arizona, New Mexico, Oklahoma, and Texas. Rocky Mountain = Colorado, Idaho, Montana, Utah, and Wyoming. Far West = Alaska, California, Hawaii, Nevada, Oregon, and Washington.
Discussion
Our study provides contemporary estimates of PCV13 uptake among adults aged ≥65 years following recommendation by ACIP in September 2014 for universal use in this age group.1 Results showed that PCV13 uptake among adults aged ≥65 years occurred rapidly in the years following ACIP recommendation in late 2014, reaching an estimated 43% by the end of November 2017. PCV13 uptake, however, is still below historical self-reported PPV23 uptake levels (60–70%) in adults aged ≥65 years and well-short of the Healthy People 2020 goal of 90% pneumococcal vaccination coverage in this age group.4,10
A closer look at PCV13 uptake revealed that poor and minority adults, adults living in rural and urban/inner-city areas, and adults with low educational attainment were much less likely to receive PCV13 following ACIP recommendation. This is concerning given that these communities have previously been identified to be at increased risk for pneumococcal disease.11-15 Further, disparities in adult PCV13 uptake could be especially problematic given that lower childhood PCV13 coverage rates have long been observed in the same communities.14,16,17 These multiplicative, detrimental effects could allow pneumococcal reservoirs to remain in many underserved communities18 – a concept that should be more thoroughly investigated.
Our findings also have important vaccine policy implications. When making the 2014 recommendation for all adults aged ≥65 years to receive PCV13, ACIP decided the recommendation would be contingent on a future re-evaluation of the benefit of continued adult PCV13 use in the context of a long-standing pediatric PCV13 immunization program.1 Yet, a decision to remove the current recommendation for adult PCV13 use could cement the disparities in access to PCV13 among older adults observed in our study, leaving these already underserved populations even more vulnerable to disease.
Like previous studies reporting racial/ethnic disparities in adult immunization uptake,19-26 results from our study demonstrated that, compared to non-Hispanic whites aged ≥65 years, of whom 46% had received PCV13, only 36% and 30% of non-Hispanic black and Hispanics adults of the same age, respectively, had received PCV13 three years after the September 2014 age-based ACIP recommendation (November 30, 2017). Racial/ethnic disparities persisted even after statistical adjustment for education, income, occupation, and place of residence, suggesting that these racial/ethnic disparities in PCV13 uptake cannot be solely attributed to differences in sociodemographic factors. This is especially troubling given that rates of pneumococcal disease are significantly higher for racial minorities.11,12,14 Racial/ethnic differences in pneumococcal vaccination rates that were not accounted for by demographic or socioeconomic factors are likely multifactorial and could include differences in cultural beliefs or attitudes toward vaccination and preventive care,27-29 and institutional bias in the healthcare system.30 Use of targeted and tailored interventions with culturally-appropriate messaging have been shown to improve adult vaccination rates in minority populations31,32 and should be implemented more broadly to reduce racial/ethnic disparities in PCV13 uptake.
In addition to race/ethnicity, socioeconomic status was strongly related to PCV13 uptake, with a clear linear relationship between higher PCV13 uptake and increasing decile of annual household income. Differences in PCV13 uptake among adults aged ≥65 years between the poorest and richest income deciles were especially striking (31% vs 54%). Like racial differences, socioeconomic differences in PCV13 uptake persisted even after multivariable adjustment for other factors. These differences also remained despite the fact that all adults aged ≥65 years in the United States have access to PCV13 with zero dollar out-of-pocket costs provided by Medicare Part B. Like racial/ethnic minorities, risk of pneumococcal disease is also higher among persons with low socioeconomic status.13-15 Previous work has described the relationship between location-based socioeconomic measures and health outcomes across a variety of communicable and noncommunicable diseases.33 This relationship is complex, and likely reflects an amalgam of individual and societal risk factors, such as the lack of access to reliable transportation,34 inability to take time-off from work,35 and fewer primary-care physicians serving the community.36 To improve adult vaccination coverage in low-income communities, interventions such as in-home well-care visits,37,38 mobile vaccination clinics,39 and monetary incentives,40,41 have been found to improve influenza vaccination rates and could be considered for pneumococcal vaccination.
Compared to older adults living in suburban/metropolitan neighborhoods, those living in rural areas or urban/inner-city areas were also significantly less likely to receive PCV13. Previous research has shown that vaccination coverage can be lower in these areas where there may be a larger reliance on nontraditional locations (eg, pharmacies, retail stores, workplaces, churches) to receive vaccination.42-45 Rural residents, who were especially under-immunized with PCV13 in our study, can face unique barriers to vaccination including poverty, longer travel distance, and limited traditional settings to receive routine preventative care.46 These lower vaccination rates are compounded by recent CDC data showing that rural residents have higher rates of mortality related to chronic lower respiratory disease.47 Broader use of community-based mass-immunization clinics held at non-traditional settings including the workplace, churches, retail stores, or pharmacies could help improve immunization coverage in communities with limited traditional options for adult vaccination.48
Finally, results from our study also suggest that education level may play an important role as well. After controlling for demographic and socioeconomic factors, compared to those that graduated college, older adults who never finished high school were 31% less likely to be vaccinated with PCV13 in our study. Previous research has demonstrated that a simple, low-literacy educational tool increased pneumococcal vaccination rates among elderly populations with low levels of literacy and education,49 and similar approaches could be applied to pneumococcal vaccination efforts.
As demonstrated with the Vaccines for Children (VFC) program, broad systematic support of pediatric immunization has dramatically reduced disparities among children across all recommended vaccines.50 Adult immunization programs, however, have been slow to evolve for multiple reasons, many of which extend beyond vaccine-specific challenges. These include variable insurance coverage among patients, a lack of incentives for healthcare providers to deliver preventive care, and a lack of a ‘medical home’ for adult patients.51 These factors are often heightened in under-served communities where general healthcare access issues are more acute. Thus, in addition to vaccine-specific interventions discussed previously, broader preventive-care efforts for adults in vulnerable communities are needed.
Our study is not without limitations. IQVIA data, although used routinely for evaluations of medical and prescription utilization,52 do not perfectly capture PCV13 utilization. To address this issue, our analysis was limited to a stable panel of providers where IQVIA has a robust capture of procedural, diagnosis, and prescription claims. These estimates were then extrapolated, using inverse proportional weighting, to the entire US population. In doing this, it is assumed that the stable panel is generally representative of other practices, pharmacies, and hospitals for which IQVIA did not have reliable data. If this assumption was not true, however, generalizability to all US areas may not be appropriate. Additionally, if older adults who tended to be underimmunized were differentially underrepresented in the IQVIA data capture, it is possible disparities observed in our study could be underestimated. It was reassuring, however, that our estimate of US PCV13 uptake in older adults in September 2016 was identical to the CDC estimate of uptake in the Medicare population at the same time point (both 32% in September 2016).5
Another important limitation is that patient-level sociodemographic information was only available for older adults who matched in the Experian dataset. Experian data come primarily from consumer participation in the credit market, and 67% of all US adults aged ≥65 years matched in Experian. It is possible, however, that poor, minority, rural, or poorly-educated elderly populations are less likely to qualify for, or participate in, the credit market, leading to differential exclusion of these populations during the Experian matching process. This too would mean that the disparities we uncovered in adult PCV13 uptake could be even more severe if sociodemographic information would have been available for patients who didn’t match in Experian. However, estimated PCV13 uptake for the overall IQVIA stable-panel population and the subpopulation of IQVIA patients that matched in Experian was similar (both 43% as of November 2017). This suggests that bias stemming from the Experian-matching process likely had minimal impact on our subpopulation-specific estimates of PCV13 uptake.
In addition, for subpopulation-specific uptake estimates, it was also assumed that the IQVIA-Experian-linked population (after applying IQVIA inverse proportional weights) has a sociodemographic makeup that is representative of the United States. It was reassuring that the magnitude of differences in PCV13 uptake in our study by race/ethnicity were comparable to that of a previous study of racial differences in PCV13 uptake among US Medicare beneficiaries.5 This further suggests that the IQVIA-Experian-linked population is probably generally representative of the US population. However, future studies in other populations should confirm our findings.
Despite limitations, our study comprehensively evaluated the uptake of PCV13 following ACIP recommendations in September 2014. Given the novel approach used in our study, future research should examine uptake of other adult vaccines (eg, influenza and herpes zoster) using a similar design. In the near future, ACIP will formally revisit the current adult pneumococcal vaccination recommendations, with a specific focus on determining whether there is continued utility for PCV13 use in adults.53 In addition to emerging data that reaffirmed the effectiveness of PCV13 in a broad population of older US adults,54,55 results from our study may help inform this important decision. Namely, although PCV13 uptake did occur rapidly in the three years following ACIP recommendation, that uptake may be beginning to stall. Based on results from our study, the recent leveling-off of PCV13 uptake is likely rooted in the fact that it is taking longer for updated pneumococcal guidelines to find their way into poor, minority, and geographically-remote communities. Removing the recommendation for adult use of PCV13 would essentially cement these current disparities in PCV13 utilization in the very communities at increased risk for pneumococcal disease.11-14,18 Instead, in the years between now and the availability of expanded-valency PCVs, which are on the horizon, targeting traditionally underserved communities (eg, poor, minority, rural) with evidence-based interventions and proven health system-wide changes (eg, adoption of immunization information systems, implementation of standing orders for vaccination, assigning non-physician personnel vaccination responsibilities, continuously monitoring vaccination rates, and ensuring in-person clinician recommendation)25,28,51 would be prudent.
Methods
Outcome
Our study had two primary outcomes of interest: (i) to determine what proportion of US adults aged ≥65 years received PCV13 following the 2014 age-based recommendation by ACIP1 (September 2014 – November 2017), and (ii) to determine whether certain sociodemographic characteristics were related to uptake of the vaccine. The study populations used to evaluate these outcomes are described separately below.
Measuring overall PCV13 uptake
We obtained data about PCV13 utilization in adults aged ≥65 years from IQVIA’s (Durham, NC, formerly IMS Health and QuintilesIMS) anonymized claims data. Databases for three settings of care were used: office-based medical claims (Dx), pharmacy-based claims (LRx), and hospital-based charge data master (CDM) claims. We defined an individual as vaccinated if she or he had any medical or prescription claim for PCV13 from one of these three databases.
IQVIA’s Dx data are comprised of >1 billion electronic medical claims, annually, from office-based medical practices, ambulatory clinics, and general healthcare sites, and include patient-level procedure and diagnosis information. The LRx database contains pharmacy-based, adjudicated claims stemming from a variety of payer types including commercial insurance plans, Medicaid, Medicare Part D, and cash-only transactions. These data are nationally representative and capture more than 92% of all US retail pharmacy-based claims (nearly 4 billion claims annually). Finally, IQVIA receives roughly 330 million US hospital-based claims per year as part of its hospital CDM database. The CDM contains patient-level data from participating hospitals, groups of hospitals, or hospital units. These Dx, LRx, and CDM data are anonymous at the patient level.
IQVIA’s Dx, LRx, and CDM databases, however, are not a complete capture of all US medical and prescription claims. To account for this, IQVIA has a proprietary algorithm for determining which outpatient practices, pharmacies, and hospitals are well-captured over time in the Dx, LRx, and CDM databases, respectively.56 These well-captured sites are referred to as the IQVIA “stable panel” and are defined on a monthly basis. Estimates derived from this stable panel are extrapolated to the entire US population using inverse proportional weighting to account for the fact that the stable panel is not a perfect capture of all US medical and prescription services. Weights for each setting of care (ie, outpatient practice, pharmacy, or the hospital setting) are determined by comparing the proportion of providers captured in the stable panel to national estimates of the total number of US providers in each setting.56,57 Estimates for the total number of all US providers in the outpatient, pharmacy, and hospital setting were obtained from the American Medical Association (AMA), the National Council for Prescription Drug Programs (NCPDP), and the American Hospital Association (AHA), respectively.
All PCV13 administrations for patients aged ≥65 years identified in the Dx, LRx, or CDM databases were summed together and then extrapolated to the entire US population using the inverse-proportional weighting method56,57 described previously to estimate the total number of doses of PCV13 administered each month in the United States. This served as the numerator for US PCV13 uptake estimates. We repeated this process each month from September 2014 through November 2017.
The denominator for calculating monthly PCV13 coverage percentages was based on US Census estimates for the total US population aged ≥65 years in the same year. We calculated monthly estimates of population size using linear interpolation of consecutive annual US Census population size estimates.
Measuring subpopulation-specific PCV13 uptake
Only a limited set of patient-level attributes were available in IQVIA claims data (eg, age and gender). In order to examine variations in PCV13 uptake across various sociodemographic characteristics (eg, race/ethnicity, socioeconomic status, occupation, education, and geographic location), IQVIA linked the PCV13 uptake data from the November 2017 cross-sectional IQVIA stable panel (the most recent time period in our study) to Experian Marketing Services ConsumerView™ data (Experian Information Solutions, Inc., Costa Mesa, CA). Experian sociodemographic data elements are derived from a national database that contain information about individual-level demographic, lifestyle, and financial attributes for roughly 300 million persons and 126 million households across the United States. Data are collected from hundreds of public and proprietary sources, including self-reported information, public records, and purchase-transaction information.
To calculate subpopulation-specific estimates of PCV13 uptake, the analysis was limited to the subpopulation of IQVIA patients that matched in the Experian database (ie, IQVIA-Experian-linked database). These subpopulation-specific uptake estimates were adjusted using the same IQVIA inverse proportional weighting methodology that was used when measuring overall PCV13 uptake (described previously).
Privacy protection
All data remained de-identified throughout the entire data collection, linkage, and analysis process.58 All personal health information (PHI) were removed or encrypted by a proprietary, automated de-identification engine (ie, prior to being collected by IQVIA). This process has been certified as Health Insurance Portability and Accountability Act (HIPAA) compliant and institutional review board-exempt. This same de-identification engine was used at Experian prior to linking sociodemographic data with IQVIA claims data. Thus, at no point were any of the study investigators, IQVIA, or Experian able to access any PHI data.
Exposure and participant characteristics
We compared PCV13 uptake across the following characteristics: age, sex, race/ethnicity, decile of annual household income adjusted for US state of residence, educational and occupational status, geographic region, neighborhood urbanicity, number of children living in the household, and influenza vaccination receipt in the prior 12 months.
Statistical analysis
We reported univariate relationships between PCV13 use and baseline characteristics. Crude and multivariable-adjusted log binomial regression analyses were used to identify factors associated with PCV13 uptake among adults aged ≥65 years (ever vs never) and were presented as relative risks (RR) and 95% confidence intervals (95%CI). For log binomial regression, we used likelihood ratio Chi-square tests to determine improved statistical fit. We incorporated IQVIA inverse proportional US population weights56 into all analyses. Finally, we performed sensitivity analyses to determine if results were similar regardless of whether missing sociodemographic data were excluded from the analysis or modeled as a separate ‘unknown’ category. Statistical analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC).
Acknowledgments
This study was sponsored by Pfizer Inc. The authors would also like to acknowledge the contributions of the following IQVIA team members: Christopher Miller, Puru Prabhu, Lisa Rendina, Stephanie Roy, and Heather von Allmen. Oliver Will was an employee of IQVIA who were paid consultants to Pfizer in connection with the development of this manuscript.
Disclosure of potential conflicts of interest
JMM, FK, AC, VS, DLS, REI, LJ are all employees of Pfizer, Inc.
References
- 1.Tomczyk S, Bennett NM, Stoecker C, Gierke R, Moore MR, Whitney CG, Hadler S, Pilishvili T. Use of 13-valent pneumococcal conjugate vaccine and 23-valent pneumococcal polysaccharide vaccine among adults aged ≥65 years: recommendations of the advisory committee on immunization practices (ACIP). MMWR Morb Mortal Wkly Rep. 2014;63:822–25. [PMC free article] [PubMed] [Google Scholar]
- 2.Bonten MJ, Huijts SM, Bolkenbaas M, Webber C, Patterson S, Gault S, van Werkhoven CH, van Deursen AMM, Sanders EAM, Verheij TJM, et al. Polysaccharide conjugate vaccine against pneumococcal pneumonia in adults. N Engl J Med. 2015;372:1114–25. doi: 10.1056/NEJMoa1408544. [DOI] [PubMed] [Google Scholar]
- 3.Stoecker C, Kim L, Gierke R, Pilishvili T.. Incremental cost-effectiveness of 13-valent pneumococcal conjugate vaccine for adults age 50 years and older in the United States. J Gen Intern Med. 2016;31:901–08. doi: 10.1007/s11606-016-3651-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Williams WW, Lu PJ, O’Halloran A, Kim DK, Grohskopf LA, Pilishvili T, Skoff TH, Nelson NP, Harpaz R, Markowitz LE, et al. Surveillance of vaccination coverage among adult populations - United States, 2014. MMWR Surveill Summ. 2016;65:1–36. doi: 10.15585/mmwr.ss6501a1. [DOI] [PubMed] [Google Scholar]
- 5.Black CL, Williams WW, Warnock R, Pilishvili T, Kim D, Kelman JA. Pneumococcal vaccination among medicare beneficiaries occurring after the advisory committee on immunization practices recommendation for routine use of 13-valent pneumococcal conjugate vaccine and 23-valent pneumococcal polysaccharide vaccine for adults aged >/=65 years. MMWR Morb Mortal Wkly Rep. 2017;66:728–33. doi: 10.15585/mmwr.mm6627a4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.US Census Bureau American community survey 5-year estimates. 2012–2016. Washington, DC: US Department of Commerce. [Google Scholar]
- 7.US Census Bureau Annual estimates of the resident population by sex, age, race alone or in combination, and hispanic origin for the United States and States. April 1, 2010. to July 1, 2016. Washington, DC: US Department of Commerce. [Google Scholar]
- 8.US Census Bureau Current population survey. 2015. Washington, DC: US Department of Commerce. [Google Scholar]
- 9.US Census Bureau Current population survey/housing vacancy survey. 2018. February 27. Washington, DC: US Department of Commerce. [Google Scholar]
- 10.Centers for disease control and prevention. noninfluenza vaccination coverage among adults - United States, 2011. MMWR Morb Mortal Wkly Rep. 2013;62:66–72. Atlanta, GA: U.S. Department of Health and Human Services. [PMC free article] [PubMed] [Google Scholar]
- 11.Burton DC, Flannery B, Bennett NM, Farley MM, Gershman K, Harrison LH, Lynfield R, Petit S, Reingold AL, Schaffner W, et al. Socioeconomic and racial/ethnic disparities in the incidence of bacteremic pneumonia among US adults. Am J Public Health. 2010;100:1904–11. doi: 10.2105/AJPH.2009.181313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kyaw MH, Rose CE Jr., Fry AM, Singleton JA, Moore Z, Zell ER, Whitney CG. The influence of chronic illnesses on the incidence of invasive pneumococcal disease in adults. J Infect Dis. 2005;192:377–86. doi: 10.1086/431521. [DOI] [PubMed] [Google Scholar]
- 13.Soto K, Petit S, Hadler JL. Changing disparities in invasive pneumococcal disease by socioeconomic status and race/ethnicity in Connecticut, 1998–2008. Public Health Rep. 2011;126(Suppl 3):81–88. doi: 10.1177/00333549111260S313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.McLaughlin JM, Utt EA, Hill NM, Welch VL, Power E, Sylvester GC. A current and historical perspective on disparities in US childhood pneumococcal conjugate vaccine adherence and in rates of invasive pneumococcal disease: considerations for the routinely-recommended, pediatric PCV dosing schedule in the United States. Hum Vaccin Immunother. 2016;12:206–12. doi: 10.1080/21645515.2015.1069452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ramirez JA, Wiemken TL, Peyrani P, Arnold FW, Kelley R, Mattingly WA, Nakamatsu R, Pena S, Guinn BE, Furmanek SP, et al. Adults hospitalized with pneumonia in the United States: incidence, epidemiology, and mortality. Clin Infect Dis. 2017;65:1806–12. doi: 10.1093/cid/cix647. [DOI] [PubMed] [Google Scholar]
- 16.Hill HA, Elam-Evans LD, Yankey D, Singleton JA, Dietz V. Vaccination coverage among children aged 19–35 months - United States, 2015. MMWR Morb Mortal Wkly Rep. 2016;65:1065–71. doi: 10.15585/mmwr.mm6539a4. [DOI] [PubMed] [Google Scholar]
- 17.Varan AK, Rodriguez-Lainz A, Hill HA, Elam-Evans LD, Yankey D, Li Q. Vaccination coverage disparities between foreign-born and U.S.-born children aged 19–35 months, United States, 2010–2012. J Immigr Minor Health. 2016;Aug;19(4):779–789. doi: 10.1007/s10903-016-0465-4. [DOI] [PubMed] [Google Scholar]
- 18.Warren JL, Pingali SC, Weinberger DM. Spatial variability in the persistence of pneumococcal conjugate vaccine-targeted pneumococcal serotypes among adults. Epidemiology. 2017;28:119–26. doi: 10.1097/EDE.0000000000000551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Egede LE, Zheng D. Racial/ethnic differences in influenza vaccination coverage in high-risk adults. Am J Public Health. 2003;93:2074–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Egede LE, Zheng D. Racial/ethnic differences in adult vaccination among individuals with diabetes. Am J Public Health. 2003;93:324–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Marin MG, Johanson WG Jr., Salas-Lopez D. Influenza vaccination among minority populations in the United States. Prev Med. 2002;34:235–41. doi: 10.1006/pmed.2001.0983. [DOI] [PubMed] [Google Scholar]
- 22.Farris JR. When insurance is not enough: racial and ethnic disparities in immunizations for the medicare population. Ethn Dis. 2005;15:S3-7–S3-12. [PubMed] [Google Scholar]
- 23.Bonito AJ, Lenfestey NF, Eicheldinger C, Iannacchione VG, Campbell L. Disparities in immunizations among elderly medicare beneficiaries, 2000 to 2002. Am J Prev Med. 2004;27:153–60. doi: 10.1016/j.amepre.2004.04.004. [DOI] [PubMed] [Google Scholar]
- 24.Winston CA, Wortley PM, Lees KA. Factors associated with vaccination of medicare beneficiaries in five U.S. communities: results from the racial and ethnic adult disparities in immunization initiative survey, 2003. J Am Geriatr Soc. 2006;54:303–10. doi: 10.1111/j.1532-5415.2005.00585.x. [DOI] [PubMed] [Google Scholar]
- 25.Gyorkos TW, Tannenbaum TN, Abrahamowicz M, Bedard L, Carsley J, Franco ED, Delage G, Miller MA, Lamping DL, Grover SA. Evaluation of the effectiveness of immunization delivery methods. Can J Public Health Revue Canadienne De Sante Publique. 1994;85:S14–30. [PubMed] [Google Scholar]
- 26.Lu PJ, Nuorti JP. Pneumococcal polysaccharide vaccination among adults aged 65 years and older, U.S., 1989–2008. Am J Prev Med. 2010;39:287–95. doi: 10.1016/j.amepre.2010.06.004. [DOI] [PubMed] [Google Scholar]
- 27.Nowalk MP, Zimmerman RK, Shen S, Jewell IK, Raymund M. Barriers to pneumococcal and influenza vaccination in older community-dwelling adults (2000–2001). J Am Geriatr Soc. 2004;52:25–30. [DOI] [PubMed] [Google Scholar]
- 28.Zimmerman RK, Santibanez TA, Fine MJ, Janosky JE, Nowalk MP, Bardella IJ, Raymund M, Wilson SA. Barriers and facilitators of pneumococcal vaccination among the elderly. Vaccine. 2003;21:1510–17. [DOI] [PubMed] [Google Scholar]
- 29.Zimmerman RK, Santibanez TA, Janosky JE, Fine MJ, Raymund M, Wilson SA, Bardella IJ, Medsger AR, Nowalk MP. What affects influenza vaccination rates among older patients? An analysis from inner-city, suburban, rural, and veterans affairs practices. Am J Med. 2003;114:31–38. [DOI] [PubMed] [Google Scholar]
- 30.FitzGerald C, Hurst S. Implicit bias in healthcare professionals: a systematic review. BMC Med Ethics. 2017;18:19. doi: 10.1186/s12910-017-0179-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Levy C, Carter S, Priloutskaya G, Gallegos G. Critical elements in the design of culturally appropriate interventions intended to reduce health disparities: immunization rates among Hispanic seniors in New Mexico. J Health Hum Serv Adm. 2003;26:199–238. [PubMed] [Google Scholar]
- 32.Winston CA, Mims AD, Leatherwood KA. Increasing pneumococcal vaccination in managed care through telephone outreach. Am J Manag Care. 2007;13:581–88. [PubMed] [Google Scholar]
- 33.Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Painting a truer picture of US socioeconomic and racial/ethnic health inequalities: the public health disparities geocoding project. Am J Public Health. 2005;95:312–23. doi: 10.2105/AJPH.2003.032482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Silver D, Blustein J, Weitzman BC. Transportation to clinic: findings from a pilot clinic-based survey of low-income suburbanites. J Immigr Minor Health. 2012;14:350–55. doi: 10.1007/s10903-010-9410-0. [DOI] [PubMed] [Google Scholar]
- 35.Institute of Medicine (US) Committee on Health Insurance Status and Its Consequences America’s uninsured crisis: consequences for health and health care. Washington (DC): National Academies Press (US); 2009. [PubMed] [Google Scholar]
- 36.O’Malley AS, Forrest CB. Immunization disparities in older Americans: determinants and future research needs. Am J Prev Med. 2006;31:150–58. doi: 10.1016/j.amepre.2006.03.021. [DOI] [PubMed] [Google Scholar]
- 37.Arthur AJ, Matthews RJ, Jagger C, Clarke M, Hipkin A, Bennison DP. Improving uptake of influenza vaccination among older people: a randomised controlled trial. Br J Gen Pract. 2002;52:717–8, 20–2. [PMC free article] [PubMed] [Google Scholar]
- 38.Black ME, Ploeg J, Walter SD, Hutchinson BG, Scott EA, Chambers LW. The impact of a public health nurse intervention on influenza vaccine acceptance. Am J Public Health. 1993;83:1751–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.US Department of Health and Human Services. Mobile health clinics in the United States: Reducing disparities: improving care, improving health, controlling costs. 2013. Office of Minority Health, Washington, DC
- 40.Moran WP, Nelson K, Wofford JL, Velez R, Case LD. Increasing influenza immunization among high-risk patients: education or financial incentive? Am J Med. 1996;101:612–20. doi: 10.1016/S0002-9343(96)00327-0. [DOI] [PubMed] [Google Scholar]
- 41.Kerpelman LC, Connell DB, Gunn WJ. Effect of a monetary sanction on immunization rates of recipients of aid to families with dependent children. JAMA. 2000;284:53–59. doi: 10.1001/jama.284.1.53. [DOI] [PubMed] [Google Scholar]
- 42.Postema AS, Breiman RF. National vaccine advisory C. Adult immunization programs in nontraditional settings: quality standards and guidance for program evaluation. MMWR Recomm Rep. 2000;49:1–13. [PubMed] [Google Scholar]
- 43.Van Amburgh JA, Waite NM, Hobson EH, Migden H. Improved influenza vaccination rates in a rural population as a result of a pharmacist-managed immunization campaign. Pharmacotherapy. 2001;21:1115–22. [DOI] [PubMed] [Google Scholar]
- 44.Lee BY, Mehrotra A, Burns RM, Harris KM. Alternative vaccination locations: who uses them and can they increase flu vaccination rates? Vaccine. 2009;27:4252–56. doi: 10.1016/j.vaccine.2009.04.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Singleton JA, Poel AJ, Lu PJ, Nichol KL, Iwane MK. Where adults reported receiving influenza vaccination in the United States. Am J Infect Control. 2005;33:563–70. doi: 10.1016/j.ajic.2005.03.016. [DOI] [PubMed] [Google Scholar]
- 46.Bennett KJ, Pumkam C, Probst JC. Rural-urban differences in the location of influenza vaccine administration. Vaccine. 2011;29:5970–77. doi: 10.1016/j.vaccine.2011.06.038. [DOI] [PubMed] [Google Scholar]
- 47.Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing potentially excess deaths from the five leading causes of death in the rural United States. MMWR Surveill Summ. 2017;66:1–7. doi: 10.15585/mmwr.ss6602a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.McIntyre AF, Gonzalez-Feliciano AG, Bryan LN, Santibanez TA, Williams WW, Singleton JA. Seasonal influenza vaccination coverage - United States, 2009–10 and 2010–11. MMWR Suppl. 2013;62:65–68. [PubMed] [Google Scholar]
- 49.Jacobson TA, Thomas DM, Morton FJ, Offutt G, Shevlin J, Ray S. Use of a low-literacy patient education tool to enhance pneumococcal vaccination rates. A randomized controlled trial. JAMA. 1999;282:646–50. doi: 10.1001/jama.282.7.646. [DOI] [PubMed] [Google Scholar]
- 50.Walker AT, Smith PJ, Kolasa M. Centers for disease C, prevention. Reduction of racial/ethnic disparities in vaccination coverage, 1995–2011. MMWR Suppl. 2014;63:7–12. [PubMed] [Google Scholar]
- 51.Lau D, Hu J, Majumdar SR, Storie DA, Rees SE, Johnson JA. Interventions to improve influenza and pneumococcal vaccination rates among community-dwelling adults: a systematic review and meta-analysis. Ann Fam Med. 2012;10:538–46. doi: 10.1370/afm.1405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.IQVIA IQVIA real world insights bibliography. 2018. Danbury, CT: IQVIA. [Google Scholar]
- 53.ACIP Meeting of the advisory committee on immunization practices (ACIP). Atlanta (GA): Centers for Disease Control and Prevnention; 2018. [Google Scholar]
- 54.McLaughlin JM, Jiang Q, Isturiz RE, Sings HL, Swerdlow DL, Gessner BD, Carrico RM, Peyrani P, Wiemken TL, Mattingly WA, et al. Effectiveness of 13-valent pneumococcal conjugate vaccine against hospitalization for community-acquired pneumonia in older us adults: a test-negative design. Clin Infect Dis. 2018. in press, ciy312. doi: 10.1093/cid/ciy312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.McLaughlin JM, Swerdlow DL, Isturiz RE, Jodar L. Decision-making for PCV in adults. Hum Vaccin Immunother. 2018:1–10. in press. doi: 10.1080/21645515.2018.1538611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Boardman C. System and method for estimating product distribution using a product specific universe. US Patent: 7,174,304. IMS Health Incorporated. [Google Scholar]
- 57.Hicks LA, Bartoces MG, Roberts RM, Suda KJ, Hunkler RJ, Taylor TH Jr., Schrag SJ. US outpatient antibiotic prescribing variation according to geography, patient population, and provider specialty in 2011. Clin Infect Dis. 2015;60:1308–16. doi: 10.1093/cid/civ076. [DOI] [PubMed] [Google Scholar]
- 58.Ober NS, Grubmuller J, Farrell M, Wentworth C, Gilbert T, Barrett K, Davis S, Nordman E, Grenier R. System and method for analyzing de-identified health care data. US Patent: 9,886,558. IMS Health Incorporated. [Google Scholar]
