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Reducing routine vaccination dropout rates: evaluating two interventions in three Kenyan districts, 2014

Overview of attention for article published in BMC Public Health, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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2 policy sources
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7 X users

Citations

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89 Dimensions

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262 Mendeley
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Title
Reducing routine vaccination dropout rates: evaluating two interventions in three Kenyan districts, 2014
Published in
BMC Public Health, February 2016
DOI 10.1186/s12889-016-2823-5
Pubmed ID
Authors

Adam Haji, S. Lowther, Z. Ngan’ga, Z. Gura, C. Tabu, H. Sandhu, Wences Arvelo

Abstract

Globally, vaccine preventable diseases are responsible for nearly 20 % of deaths annually among children <5 years old. Worldwide, many children dropout from the vaccination program, are vaccinated late, or incompletely vaccinated. We evaluated the impact of text messaging and sticker reminders to reduce dropouts from the vaccination program. The evaluation was conducted in three selected districts in Kenya: Machakos, Langata and Njoro. Three health facilities were selected in each district, and randomly allocated to send text messages or provide stickers reminding parents to bring their children for second and third dose of pentavalent vaccine, or to the control group (routine reminder) with next appointment date indicated on the well-child booklet. Children aged <12 months presenting for their first dose of pentavalent vaccine were enrolled. A dropout was defined as not returning for vaccination ≥2 weeks after scheduled date for third dose of pentavalent vaccine. We calculated dropout rate as a percentage of the difference between first and third pentavalent dose. We enrolled 1,116 children; 372 in each intervention and 372 controls between February and October 2014. Median age was 45 days old (range: 31-99 days), and 574 (51 %) were male. There were 136 (12 %) dropouts. Thirteen (4 %) children dropped out among those who received text messages, 60 (16 %) among who received sticker reminders, and 63 (17 %) among the controls. Having a caregiver with below secondary education [Odds Ratio (OR) 1.8, 95 % Confidence Interval (CI) 1.1-3.2], and residing >5 km from health facility (OR 1.6, CI 1.0-2.7) were associated with higher odds of dropping out. Those who received text messages were less likely to drop out compared to controls (OR 0.2, CI 0.04-0.8). There was no statistical difference between those who received stickers and controls (OR 0.9, CI 0.5-1.6). Text message reminders can reduce vaccination dropout rates in Kenya. We recommend the extended implementation of text message reminders in routine vaccination services.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Canada 1 <1%
Unknown 260 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 19%
Researcher 40 15%
Student > Bachelor 28 11%
Student > Ph. D. Student 22 8%
Student > Postgraduate 16 6%
Other 35 13%
Unknown 71 27%
Readers by discipline Count As %
Medicine and Dentistry 65 25%
Nursing and Health Professions 40 15%
Social Sciences 15 6%
Psychology 8 3%
Economics, Econometrics and Finance 8 3%
Other 38 15%
Unknown 88 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2023.
All research outputs
#2,722,431
of 24,716,872 outputs
Outputs from BMC Public Health
#3,182
of 16,373 outputs
Outputs of similar age
#42,016
of 303,058 outputs
Outputs of similar age from BMC Public Health
#45
of 232 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 303,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.