↓ Skip to main content

Feasibility and effectiveness of the baby friendly community initiative in rural Kenya: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, September 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
328 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Feasibility and effectiveness of the baby friendly community initiative in rural Kenya: study protocol for a randomized controlled trial
Published in
Trials, September 2015
DOI 10.1186/s13063-015-0935-3
Pubmed ID
Authors

Elizabeth W. Kimani-Murage, Judith Kimiywe, Mark Kabue, Frederick Wekesah, Evelyn Matiri, Nelson Muhia, Milka Wanjohi, Peterrock Muriuki, Betty Samburu, James N. Kanyuira, Sera L. Young, Paula L. Griffiths, Nyovani J. Madise, Stephen T. McGarvey

Abstract

Interventions promoting optimal infant and young child nutrition could prevent a fifth of under-5 deaths in countries with high mortality. Poor infant and young child feeding practices are widely documented in Kenya, with potential detrimental effects on child growth, health and survival. Effective strategies to improve these practices are needed. This study aims to pilot implementation of the Baby Friendly Community Initiative (BFCI), a global initiative aimed at promoting optimal infant and young child feeding practices, to determine its feasibility and effectiveness with regards to infant feeding practices, nutrition and health outcomes in a rural setting in Kenya. The study, employing a cluster-randomized trial design, will be conducted in rural Kenya. A total of 12 clusters, constituting community units within the government's Community Health Strategy, will be randomized, with half allocated to the intervention and the other half to the control arm. A total of 812 pregnant women and their respective children will be recruited into the study. The mother-child pairs will be followed up until the child is 6 months old. Recruitment will last approximately 1 year from January 2015, and the study will run for 3 years, from 2014 to 2016. The intervention will involve regular counseling and support of mothers by trained community health workers and health professionals on maternal, infant and young child nutrition. Regular assessment of knowledge, attitudes and practices on maternal, infant and young child nutrition will be done, coupled with assessment of nutritional status of the mother-child pairs and morbidity for the children. Statistical methods will include analysis of covariance, multinomial logistic regression and multilevel modeling. The study is funded by the NIH and USAID through the Program for Enhanced Research (PEER) Health. Findings from the study outlined in this protocol will inform potential feasibility and effectiveness of a community-based intervention aimed at promoting optimal breastfeeding and other infant feeding practices. The intervention, if proved feasible and effective, will inform policy and practice in Kenya and similar settings, particularly regarding implementation of the baby friendly community initiative. ISRCTN03467700 ; Date of Registration: 24 September 2014.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 327 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 14%
Researcher 42 13%
Student > Ph. D. Student 37 11%
Student > Bachelor 29 9%
Student > Postgraduate 20 6%
Other 76 23%
Unknown 77 23%
Readers by discipline Count As %
Nursing and Health Professions 81 25%
Medicine and Dentistry 66 20%
Social Sciences 28 9%
Unspecified 14 4%
Agricultural and Biological Sciences 12 4%
Other 38 12%
Unknown 89 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 July 2017.
All research outputs
#2,821,980
of 22,829,083 outputs
Outputs from Trials
#1,012
of 5,878 outputs
Outputs of similar age
#40,136
of 274,283 outputs
Outputs of similar age from Trials
#25
of 133 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,878 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 82% 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 274,283 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 85% of its contemporaries.
We're also able to compare this research output to 133 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.