Title: Evaluating Adverse Events after Vaccination in the Medicare Population
1Evaluating Adverse Events after Vaccination in
the Medicare Population
- Robert Ball, MD, MPH, ScM
- Chief, Vaccine Safety Branch
- Division of Epidemiology
- CBER, FDA
- FDA/Industry Statistics Workshop
- September 29, 2006
2Collaborators
- CMS
- Lawrence La Voie, Peter Houck, Rebecca Hudson
- FDA/CBER
- Dale Burwen, Miles Braun
3 Medicare and Vaccine Safety Background
- Post-licensure observational studies using large
linked databases can provide important data about
whether adverse events are associated with
vaccines. - Serious adverse events requiring hospitalization
after vaccination are uncommon, but are important
to evaluate to ensure safe vaccination and
maintain the publics confidence in vaccination. - Medicare data can help fill an important need
because other databases may not have sufficient
statistical power to examine rare events, and may
under represent the elderly.
4 Medicare and Vaccine Safety Background
- 41 million Medicare beneficiaries (96 of 65
year olds in US). - 35 million 65 years old.
- 6 million are younger with disabilities or end
stage renal disease. - Key consumers of influenza and pneumococcal
vaccines. - Nearly all of the elderly, and many younger
beneficiaries, are recommended to receive the
vaccines based on their high disease risk. - According to the CDC, routine revaccination of
immunocompetent persons previously vaccinated
with pneumococcal vaccine is not recommended,
although revaccination once is recommended for
certain persons provided that 5 years have
elapsed since receipt of the first dose, and
revaccination following a second dose is not
routinely recommended. - Pneumococcal and influenza vaccination have been
covered benefits in the Medicare program since
1981 and 1993, respectively.
5 Medicare and Vaccine Safety Study Questions
- Can Medicare data be used to evaluate adverse
events after influenza and pneumococcal vaccines? - Is hospitalization for urinary tract infection
(UTI), not likely associated with vaccination, or
for cellulitis and abscess of the upper arm and
forearm (CAUAF) associated with vaccination? - What are the data quality issues relevant to
vaccine safety analyses?
6Methods Description of Study and Statistical
Analysis
- Case series design to evaluate the frequency of
hospitalization during the period immediately
after vaccination compared with the average
frequency during the periods before and after
vaccination. - Only persons who both were vaccinated and were
hospitalized for the selected condition were
included. - 7 days immediately preceding vaccination were
excluded because of the healthy vaccinee effect
vaccinated persons are less likely to be acutely
ill and hospitalized. - Determined the average frequency based on 54 days
(days 8 to 30 prior to vaccination and days 0 to
30 after vaccination). - Tested whether the frequency of hospitalization
deviated from a uniform distribution equal to the
average frequency using the ?2 goodness-of-fit
test. - If the observed frequency during the 54 days
deviated from the uniform distribution, we tested
whether the deviation localized to the week after
vaccination by omitting days 0 to 7, and
repeating the ?2 goodness-of-fit test for
deviation from a uniform distribution. - Among the cohort of persons who received
pneumococcal vaccine in 2001, we evaluated
whether prior receipt of vaccine and shorter
interval between vaccinations (lt5 years) were
risk factors for hospitalization for cellulitis
and abscess of the upper arm and forearm (CAUAF).
- Proportions were compared using ?2.
7Methods Data Quality Assessment
- To assess agreement with other data sources, we
compared vaccine coverage rates using Medicare
claims data to published rates obtained from
survey data including - Agency for Healthcare Research and Qualitys
(AHRQ) Consumer Assessment of Health Plan
Surveys (CAHPS) - CMS Medicare Current Beneficiary Survey (MCBS)
- Centers for Disease Control and Preventions
(CDC) National Health Information Survey (NHIS) - State-based Behavioral Risk Factor Surveillance
System (BRFSS)
8Methods Data Sources
- Data from the National Claims History File and
Enrollment Database for 2001 - 2001 Medicare 5 sample and the 1991-2001
Pneumococcal Vaccine File
9Interval Between Influenza Immunization and
Admission Date for Selected Conditions
Number of Hospitalizations
Days before vaccination Days
after vaccination
Date of vaccination
10Interval Between Pneumococcal Immunization and
Admission Date for Selected Conditions
Number of Hospitalizations
Days before vaccination Days
after vaccination
Date of vaccination
11Interval Between Receipt of Last Two Pneumococcal
Vaccines, Among Persons Vaccinated in 2001
Number of Persons
Years
12Influenza Vaccination Rates (per 100), Persons
Age 65, by Data Source
TABLE 1. Influenza Vaccination Rates (per 100),
Persons Age 65, by Data Source Â
 Abbreviations CAHPS, Consumer Assessment of
Health Plan Surveys MCBS, Medicare Current
Beneficiary Survey NHIS, National Health
Interview Survey BRFSS, Behavioral Risk Factor
Surveillance System NA, published results not
available.
13Pneumococcal Vaccination Rates (per 100), Persons
Age 65, by Data Source
TABLE 2. Pneumococcal Vaccination Rates (per
100), Persons Age 65, by Data Source Â
TABLE 1. Influenza Vaccination Rates (per 100),
Persons Age 65, by Data Source Â
Abbreviations CAHPS, Consumer Assessment of
Health Plan Surveys MCBS, Medicare Current
Beneficiary Survey NHIS, National Health
Interview Survey BRFSS, Behavioral Risk Factor
Surveillance System NA, published results not
available.
14Conclusions
- Using Medicare administrative data, we identified
a possible increased risk of hospitalization for
cellulitis and abscess of the upper arm and
forearm after pneumococcal vaccine, but not
influenza vaccine. - This risk of hospitalization was not detected in
smaller studies. - Injection site reactions are likely to often be
misdiagnosed as cellulitis. These data are
consistent with the known local reactogenicity of
pneumococcal vaccine. - The revaccination rate for pneumococcal vaccine
is higher than expected and the interval of
revaccination in some cases is shorter than
expected (lt5 years) based on current
recommendations.
15Conclusions
- A potential limitation of Medicare data
identified is the difference in vaccination rates
between claims data and survey data. - This limitation can be addressed using the case
series study design, where only individuals who
have both the condition under study and received
the vaccine are included. - Screening analyses can be performed using
administrative data, but medical record review to
validate diagnoses will often be needed for
rigorous study of vaccine-adverse event
associations. - Current and future projects include the
evaluation of Guillain Barre Syndrome after
influenza vaccine, cellulitis after pneumococcal
polysaccharide vaccine, and pandemic influenza
vaccine safety preparedness.
16Distribution of vaccine claim dates, Medicare
data, 5 sample, 2001
Percent
Month