Coverage Confusion! Trying to Make Sense of It
The Topic
Vaccination coverage rates are the most commonly
used indicators of immunization program performance.
Have you ever encountered different vaccination coverage
estimates for the same country? In this issue of
Snap Shots, we explain where these different coverage
estimates come from and how they should and should
not be used. We also point you to other references
that we hope will help to clear up the coverage confusion.DTP3 and Routine Immunization
Although coverage is calcuated for all vaccines,
DTP3 coverage by one year of age is now widely accepted
as the performance indicator for routine immunization.
This is because DTP vaccine is most often delivered
in routine immunization sessions versus campaigns.
Also, completion of the DTP series before the first
birthday has been a serious problem in some countries,
so adoption of the DTP3 indicator is helping to focus
global attention on this problem. We use DTP3 coverage
throughout this issue to describe coverage trends. Regional Coverage Trends
After increasing rapidly in the 1980s, vaccination
coverage in many countries held steady or decreased
during the 1990s. Since 2000, coverage has slowly
begun to increase again. Globally, WHO/UNICEF estimate
that DTP3 coverage increased from 75% in 2000 to
78% in 2004. The Africa region, where coverage fell
sharply after 1990, experienced the most dramatic
gains (54% in 2000 to 66% in 2004). Coverage in the
Eastern Mediterranean region also improved (81% in
2000 to 86% in 2004), but in Southeast Asia coverage
remained low (69% in 2004). The fact that it has
not changed significantly since 1995 is also cause
for concern.
Common Sources of Coverage Data
WHO/UNICEF's estimates of DTP3 coverage are used
in Figure 1 above. Other common sources of coverage
data are administrative reports and household surveys.
How do these three sources compare?- Administrative reports:
National coverage rates are usually based
on administrative data collected during vaccination
sessions. Administrative data are used monthly,
quarterly and annually to estimate coverage,
calculate left-outs and drop-outs, and monitor
trends. Administrative data overestimate
coverage(1) when vaccinations
given to children after their first birthdays
are reported, census figures (coverage denominators)
are too low, or reports are falsified. On
the other hand, they underestimate coverage
when census figures are too high or reporting
is incomplete.
- Household surveys:
Demographic and Health Surveys (DHS) and
Multiple Indicator Cluster Surveys (MICS) produce
national coverage estimates, but they are
conducted infrequently and do not, in most
cases, produce district coverage estimates.
The CORE Group's Knowledge, Practice and
Coverage (KPC) surveys produce reliable coverage
estimates and are often used with smaller
populations. Immunization
Coverage Cluster Surveys, which are appropriate
for use at both district and national level,
provide a wealth of data not only about immunization
coverage but also about service quality.
WHO/UNICEF Joint Reporting Form
|
- WHO/UNICEF estimates
of coverage: In April each year,
WHO and UNICEF collect coverage estimates
and other information from individual
countries on a Joint
Reporting Form, or JRF. The JRF contains
the official country estimates of coverage,
which are most often based on administrative
reports and census data. WHO and UNICEF
then adjust the official country rates
to reflect findings of population-based
surveys and known data-quality and/or
denominator issues.(2) The
WHO/UNICEF coverage estimates are now
used at global level to track country
performance and measure progress toward
global and regional immunization goals.
Where to Find Country Coverage Estimates
Both the official country estimates and the WHO/UNICEF
estimates of vaccination coverage can be accessed
through WHO's
Vaccine Preventable Diseases Monitoring System.(3) This
interactive web page contains country coverage estimates
since 1980. It also makes available many other items
of information from the annual JRF submissions that
may be useful in assessing country performance (see
box to the right).Interpreting Coverage Estimates
When interpreting immunization coverage estimates,
keep the following points in mind...- Coverage rates are averages. High coverage
rates almost always mask pockets of much
lower coverage. Coverage rates also tell
us little on their own about disparities
among socioeconomic groups.(4) To
truly understand a country's coverage situation,
one must have access to subnational coverage
data. To determine whether the poor and other
marginalized groups are being reached with
immunization services, whenever possible,
household surveys should be analyzed by wealth
quintile.
- Like stocks and mutual funds, even very high
coverage this year does not guarantee the
same coverage next year. In one African country,
national DTP3 coverage has been over 80%
for all but three of the past 10 years, but
only 11% of districts have reported 80% coverage
or higher in each of the last three years.
This suggests frailty in the immunization
system and demonstrates the need to consider
more than one year's data at any given time.
- A coverage estimate is only reliable if the data behind it are of reasonable quality. GAVI Data Quality Audits (DQA) are helping improve data collection and reporting in many countries. Nonetheless, different sources of immunization data often yield different coverage estimates, and all coverage data have certain limitations. For this reason, one must always look at the source of a coverage estimate to figure out what it really means and how it might be used.
Deciding Which Coverage
Estimates to Use
Coverage estimates from different sources are often
used for different purposes. Administrative data
are most readily available at each level of a health
system and, in lieu of more reliable data, they are
routinely used by program managers and donors to
monitor trends in coverage and pinpoint problems.
Surveys generate more reliable estimates of coverage,
but they are carried out less frequently and cannot
be used to monitor trends on a monthly or even an
annual basis. Also, national surveys do not generally
permit district-level estimates, which, as mentioned
above, are critical to understanding country performance.
BEFORE Comparing Coverage Estimates, Ask Yourself...
- Are the geographic areas and populations the same? Comparing coverage rates from national and district surveys at a single point in time can be interesting. However, national coverage rates should not be used as baseline measures for individual districts because they do not represent the same populations.
- Are the age groups the same? Some surveys of children 12-23 months of age report vaccinations received only up to 12 months of age (the recommended method when reporting immunization coverage). Others report all vaccinations that children receive up to the time of a survey. This means that vaccinations given to children older than 12 months of age are included and are thereby inflating coverage estimates.
- Does "vaccinated" mean the same thing? Some surveys report coverage based only on what is documented by vaccination cards, while others include data from caretakers' recall. This has a huge effect on reported coverage. In reality, coverage "by card" and "by card and recall" should both be reported.
- Are denominators correct? In administrative reporting, coverage may rise suddenly following a census that significantly undercounts the population. Or, it may fall just as suddenly when a new census corrects a faulty denominator.
- Are the data reliable? Administrative reports often overestimate coverage, but surveys may suffer from data quality and sampling problems as well. Whatever the source, data quality issues should be considered before deciding to use and compare coverage results.
- What time periods are covered? If comparing data from different sources for what you believe are the same time periods, make sure this is actually the case. Surveys conducted this year generally reflect vaccinations administered 12-23 months ago. Therefore, comparing this year's administrative data to this year's survey findings will not produce comparable results.
What Can USAID Missions and Projects Do to Reduce
the Coverage Confusion?
- Use available coverage rates, but also question
them. Look behind the figures to understand
how they were calculated and what they mean.
- Seek information on coverage over time and
in smaller geographical areas. This will
give you the information you need to better
direct scarce resources toward low-performing
areas.
- When commissioning or conducting household
surveys, make sure that samples permit coverage
estimates by socioeconomic status and other
units of interest. This will help in identifying
special-needs populations, even in countries
and regions with relatively high immunization
coverage.
- Support health systems initiatives to improve
the quality of immunization data and teach
health personnel to interpret and use their
own data to improve program performance.
- Visit the WHO
Vaccine Preventable Disesases Monitoring
System web page and become familiar
with the information it contains. This
site makes both official country estimates
and the WHO/UNICEF estimates of immunization
coverage since 1980 available in an interactive
format.
References:
(1) Murray
CJ, Shengelia B, Gupta N, Moussavi S, Tandon
A, Thieren M. Validity
of reported vaccination coverage in 45 countries.
Lancet, 2003 Sep 27;362(9389):1022-7
(2) WHO/UNICEF
Estimates of National Immunization Coverage,
1980-2004: Methods
(3) WHO
Data, Statistics and Graphics and WHO
Vaccine Preventable Diseases Monitoring System web
pages
(4) Gwatkin
DR."The
need for equity-oriented health sector reforms." International
Journal of Epidemiology 2001;30:720-723
(5) Immunization
Essentials: A Practical Field Guide,
USAID, 2003 Chapter 4, pp.80-81.
New Additions to the IMMUNIZATIONbasics Website
The IMMUNIZATIONbasics website contains information
about the project and an electronic resource
center on routine immunization and immunization
financing. Visit www.immunizationbasics.jsi.com today
to find the following resources:- Effective Vaccine Store Management Initiative: Modules 1-4 (WHO-UNICEF, 2004)
- Vaccine Introduction Guidelines. Adding a vaccine to a national immunization programme: decision and implementation (WHO, 2005)
- Immunization Coverage Cluster Survey - Reference Manual WHO, 2004)
- The Immunization Data Quality Self-Assessment (DQS) Tool (WHO, 2005)