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Responsive versus scheduled feeding for preterm infants

Overview of attention for article published in Cochrane database of systematic reviews, August 2016
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
9 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Responsive versus scheduled feeding for preterm infants
Published in
Cochrane database of systematic reviews, August 2016
DOI 10.1002/14651858.cd005255.pub5
Pubmed ID
Authors

Julie Watson, William McGuire

Abstract

Feeding preterm infants in response to their hunger and satiation cues (responsive, cue-based, or infant-led feeding) rather than at scheduled intervals might enhance infants' and parents' experience and satisfaction, help in the establishment of independent oral feeding, increase nutrient intake and growth rates, and allow earlier hospital discharge. To assess the effect of a policy of feeding preterm infants on a responsive basis versus feeding prescribed volumes at scheduled intervals on growth rates, levels of parent satisfaction, and time to hospital discharge. We used the standard search strategy of the Cochrane Neonatal Review group to search the Cochrane Central Register of Controlled Trials (CENTRAL 2016, Issue 1), MEDLINE via PubMed (1966 to 17 February 2016), Embase (1980 to 17 February 2016), and CINAHL (1982 to 17 February 2016). We also searched clinical trials' databases, conference proceedings, and the reference lists of retrieved articles for randomised controlled trials and quasi-randomised trials. Randomised controlled trials (RCTs) or quasi-RCTs that compared a policy of feeding preterm infants on a responsive basis versus feeding at scheduled intervals. Two review authors assessed trial eligibility and risk of bias and undertook data extraction independently. We analysed the treatment effects in the individual trials and reported the risk ratio and risk difference for dichotomous data and mean difference (MD) for continuous data, with respective 95% confidence intervals (CIs). We used a fixed-effect model in meta-analyses and explored the potential causes of heterogeneity in sensitivity analyses. We assessed the quality of evidence at the outcome level using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. We found nine eligible RCTs including 593 infants in total. These trials compared responsive with scheduled interval regimens in preterm infants in the transition phase from intragastric tube to oral feeding. The trials were generally small and contained various methodological weaknesses including lack of blinding and incomplete assessment of all randomised participants. Meta-analyses, although limited by data quality and availability, suggest that responsive feeding results in slightly slower rates of weight gain (MD -1.36, 95% CI -2.44 to -0.29 g/kg/day), and provide some evidence that responsive feeding reduces the time taken for infants to transition from enteral tube to oral feeding (MD -5.53, 95% CI -6.80 to -4.25 days). GRADE assessments indicated low quality of evidence. The importance of this finding is uncertain as the trials did not find a strong or consistent effect on the duration of hospitalisation. None of the included trials reported any parent, caregiver, or staff views. Overall, the data do not provide strong or consistent evidence that responsive feeding affects important outcomes for preterm infants or their families. Some (low quality) evidence exists that preterm infants fed in response to feeding and satiation cues achieve full oral feeding earlier than infants fed prescribed volumes at scheduled intervals. This finding should be interpreted cautiously because of methodological weaknesses in the included trials. A large RCT would be needed to confirm this finding and to determine if responsive feeding of preterm infants affects other important outcomes.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Bachelor 16 16%
Researcher 13 13%
Student > Ph. D. Student 11 11%
Unspecified 8 8%
Other 28 29%
Readers by discipline Count As %
Medicine and Dentistry 36 37%
Nursing and Health Professions 27 28%
Unspecified 13 13%
Psychology 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 13 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 25 January 2018.
All research outputs
#836,433
of 12,553,253 outputs
Outputs from Cochrane database of systematic reviews
#2,815
of 10,357 outputs
Outputs of similar age
#27,678
of 262,599 outputs
Outputs of similar age from Cochrane database of systematic reviews
#63
of 181 outputs
Altmetric has tracked 12,553,253 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,357 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has gotten more attention than average, scoring higher than 72% 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 262,599 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 89% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.