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. 2016 Dec 7;34(50):6112–6113. doi: 10.1016/j.vaccine.2016.09.067

Reply to comments on Monitoring vaccination coverage: Defining the role of surveys

Felicity T Cutts 1,2,3,4,, Pierre Claquin 1,2,3,4, M Carolina Danovaro-Holliday 1,2,3,4, Dale A Rhoda 1,2,3,4
PMCID: PMC5142421  PMID: 27899197

Dear Editor,

We thank Pond and Mounier-Jack for their comments on our paper, “Monitoring vaccination coverage: Defining the role of surveys” [1]. We agree that for many countries, administrative estimates of coverage are greatly inflated and misleading for programme planning purposes. The robustness of the WHO-UNICEF estimates of national immunization coverage (WUENIC) depends on the quality of the underlying data reviewed, which include administrative reports, as well as probability and non-probability sample surveys. In 2012, the Grade of Confidence (GoC) was introduced as a means of conveying uncertainty in WUENIC [2] and is low in the seven conflict-affected countries listed by Pond and Mounier-Jack. Table 1 shows that in five of these countries, vaccination cards were available for less than half the children surveyed; when card availability is low, it is particularly difficult to compare coverage trends. For example, in Nigeria, the proportion of children with DTP3 according to card was similar in surveys in 2010, 2011 and 2013, but in the EPI survey of 2010 a verbal history of vaccination was reported for 43% of children, more than double that of previous or subsequent surveys. Elsewhere, results from surveys did not always match expected trends (e.g. no apparent fall in coverage between surveys despite a 7 month stockout of DTP in one country), and some results were very unlikely (e.g. zero dropout between DTP1 and DTP3 in one Multiple Indicator Cluster Survey (MICS) (data from country reports at http://apps.who.int/immunization_monitoring/globalsummary/wucoveragecountrylist.html)).

Table 1.

Surveys reviewed for WUENIC in 7 countries, 2008–2015, children aged 12–23 months.

Country Year of WUENIC Year of Survey Survey type % cards DTP3% by card DTP3%
History
DTP3%
Total
Afghanistan 2012 2013 EPI 66 54 6 60
2010 2010–11 MICS 31 32 9 41



Cote d’Ivoire 2014 2015 EPI review 91 70 6 76
2013 2014 Post-SIA 75 61 11 82
2012 2013 EPI 88 78 4 82
2011 2011–12 DHS 74 56 8 64



Central African 2011 2012 EPI 50 41 6 47
Republic 2009 2010 MICS 32 16 16 32



Democratic 2012 2013–14 DHS 26 24 36 60
Republic of Congo 2011 2012 EPI 35 21 56 77
2009 2010 MICS 43 37 25 62



Mali 2011 2012–13 DHS 38 29 34 63
2009 2010 MICS 59 49 23 72
2008 2009–10 EPI 65 47 28 75



Nigeria 2012 2013 DHS 28 22 16 38
2010 2011 MICS 24 26 18 45
2009 2010 EPI 40 25 43 68
2007 2008 DHS 26 20 15 35



Pakistan 2013 2014–15 PSLM n/a 65 23 88
2012 2012–13 DHS 36 32 33 65
2012 2013–14 PSLM n/a 61 20 81
2010 2010–11 PSLM n/a 56 19 85
2007 2008–9 PSLM n/a 51 33 84

WUENIC: WHO/UNICEF Estimates of National Immunization Coverage.

DTP3: third dose of diphtheria-tetanus-pertussis vaccine (results are for children aged 12–23 months).

EPI: Expanded Programme on Immunization.

MICS: UNICEF Multiple Indicator Cluster Survey.

DHS: Demographic and Health Survey.

PSLM: Pakistan Social and Living Standards Measurement Survey.

The updated WHO guidelines on vaccination coverage surveys (http://www.who.int/immunization/monitoring_surveillance/Vaccination_coverage_cluster_survey_with_annexes.pdf) discuss the challenges of using a new survey to compare with an older one, particularly an immunization coverage survey – these often lacked information on likely biases and confidence intervals were either not reported or not very meaningful from non-probability samples. The best way to compare results from different surveys is to plan a pair of surveys for such a purpose and work very hard to ensure standardised, well-documented and high quality data collection in both. Pond and Mounier-Jack suggest that two such surveys are feasible within each 5 years period. We would be reluctant to stipulate any particular interval as the usefulness of repeat surveys will depend in part on the likelihood of a change in coverage having occurred (which can be predicted from monitoring other indicators) [1] and the availability of accurate documentation of vaccination status on home-based or clinic records. Most of all, surveys should lead to action to strengthen programme performance and this is likely the weakest link in many countries, including those affected by conflict.

We also question whether frequent conduct of high-quality surveys is always the best investment, particularly when countries may not use results to improve EPI performance. In the Americas, strong progress towards programme goals has been attributed to technical oversight, partnership and coordination to strengthen routine information systems and the continuous monitoring of administrative data (including numerators separate from denominators), surveillance and public health laboratory networks, as well as pooled vaccine purchase [3], [4]. The Pan American Health Organization (PAHO) rarely recommended or funded surveys [4].

We encourage the global community to continue its support to improve monitoring systems as well as surveys, while building-up the evidence regarding the best uses of vaccination coverage surveys and other monitoring tools, without losing focus on the actual implementation of strategies proven to improve immunization programme performance.

Conflict of interest statement

The authors declare that they have no conflict of interest.

Acknowledgements

FTC and DAR were contracted by The Bill & Melinda Gates Foundation to undertake this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions or policies of the institutions with which they are affiliated.

References

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