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Small area synthetic estimates of smoking prevalence during pregnancy in England

Overview of attention for article published in Population Health Metrics, December 2015
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Title
Small area synthetic estimates of smoking prevalence during pregnancy in England
Published in
Population Health Metrics, December 2015
DOI 10.1186/s12963-015-0067-8
Pubmed ID
Authors

Lisa Szatkowski, Samantha J. Fahy, Tim Coleman, Joanna Taylor, Liz Twigg, Graham Moon, Jo Leonardi-Bee

Abstract

Complete and accurate data on maternal smoking prevalence during pregnancy are not available at a local geographical scale in England. We employ a synthetic estimation approach to predict the expected prevalence of smoking during pregnancy and smoking at delivery by Primary Care Trust (PCT). Multilevel logistic regression models were used with data from the 2010 Infant Feeding Survey and 2011 Census to predict the probability of mothers (a) smoking at any point during pregnancy and (b) smoking at delivery, according to age, deprivation, and the ethnic profile of the home area. These probabilities were applied to demographic information on mothers giving birth from 2010/11 Hospital Episode Statistics data to produce expected counts, and prevalence figures, of smokers by PCT, with Bayesian 95 % credible intervals. The expected prevalence of smoking at delivery by PCT was compared with midwife-collected Smoking at the Time of Delivery (SATOD) data using a Bland-Altman plot. The expected prevalence of smoking during pregnancy by PCT ranged from 8.1 % (95 % CI 5.6-1.0) to 31.6 % (27.5-34.8). The expected prevalence of smoking at delivery ranged from 2.5 % (1.4-4.0) to 17.1 % (13.7-20.4). Figures for expected smoking prevalence at delivery showed some agreement with SATOD, though SATOD data were generally higher than the synthetic estimates (mean difference 2.99 %). It is possible to derive good estimates of expected smoking prevalence during pregnancy for small areas, potentially at much lower cost than conducting large surveys. Such data may be useful to help plan and commission smoking cessation services and monitor their effectiveness.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 11%
Professor 3 9%
Researcher 3 9%
Other 2 6%
Unspecified 2 6%
Other 5 14%
Unknown 16 46%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Nursing and Health Professions 3 9%
Unspecified 2 6%
Social Sciences 2 6%
Economics, Econometrics and Finance 2 6%
Other 5 14%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2016.
All research outputs
#14,243,953
of 22,837,982 outputs
Outputs from Population Health Metrics
#279
of 392 outputs
Outputs of similar age
#203,690
of 389,040 outputs
Outputs of similar age from Population Health Metrics
#6
of 8 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 25th percentile – i.e., 25% 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 389,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.