↓ Skip to main content

He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries

Overview of attention for article published in BMC Health Services Research, May 2018
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
50 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
He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries
Published in
BMC Health Services Research, May 2018
DOI 10.1186/s12913-018-3179-6
Pubmed ID
Authors

Sara Filoche, Fiona Cram, Angela Beard, Dalice Sim, Stacie Geller, Liza Edmonds, Bridget Robson, Beverley Lawton

Abstract

Significant health inequities exist around maternal and infant health for Māori, the indigenous people of Aotearoa New Zealand - and in particular around a premature (preterm) delivery. Māori babies are more likely to be born preterm (8.1%, compared to an overall rate of 7.4%) and they are more likely to have a preterm death. An essential part of redressing these disparities is to examine the clinical care pathway and outcomes associated with preterm deliveries. This paper describes a protocol utilising national and local health collections to enable such a study. This is a retrospective cohort study comprising 5 years data pertaining to preterm deliveries from 2010 to 2014. These data are generated from linked national administrative and local health information collections to explore a range of neonatal outcomes and infant mortality in relation to the antenatal care pathway and known risk factors for preterm delivery. This study is being conducted within a Kaupapa Māori paradigm that dismisses victim blaming and seeks to intervene at structural levels to improve the health and wellbeing of Māori whānau (family). Our data-linkage methodology optimises the utility of New Zealand health collections to address a significant health issue. Our findings will fill the information gaps around the burden of preterm delivery by quantifying the incidence of preterm delivery and adverse neonatal and infant outcomes in Aotearoa New Zealand. It will explore access to evidenced based care including use of steroids before birth, and appropriate place of delivery. The results from this study will inform maternity care services to improve management of preterm deliveries - both locally and internationally. This in turn will improve the preterm sequela by reducing the long-term health burden and health inequities.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Student > Bachelor 6 12%
Student > Postgraduate 4 8%
Other 7 14%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 15 30%
Psychology 6 12%
Nursing and Health Professions 5 10%
Social Sciences 5 10%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 3 6%
Unknown 14 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 May 2018.
All research outputs
#9,933,786
of 12,980,672 outputs
Outputs from BMC Health Services Research
#3,491
of 4,316 outputs
Outputs of similar age
#187,624
of 271,214 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 12,980,672 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 271,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them