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Preconception Healthcare Delivery at a Population Level: Construction of Public Health Models of Preconception Care

Overview of attention for article published in Maternal and Child Health Journal, November 2013
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Title
Preconception Healthcare Delivery at a Population Level: Construction of Public Health Models of Preconception Care
Published in
Maternal and Child Health Journal, November 2013
DOI 10.1007/s10995-013-1393-8
Pubmed ID
Authors

Geordan D. Shannon, Corinna Alberg, Luis Nacul, Nora Pashayan

Abstract

A key challenge of preconception healthcare is identifying how it can best be delivered at a population level. To review current strategies of preconception healthcare, explore methods of preconception healthcare delivery, and develop public health models which reflect different preconception healthcare pathways. Preconception care strategies, programmes and evaluations were identified through a review of Medline and Embase databases. Search terms included: preconception, pre-pregnancy, intervention, primary care, healthcare, model, delivery, program, prevention, trial, effectiveness, congenital disorders OR abnormalities, evaluation, assessment, impact. Inclusion criteria for review articles were: (1) English, (2) human subjects, (3) women of childbearing age, (4) 1980-current data, (5) all countries, (6) both high risk and universal approaches, (7) guidelines or recommendations, (8) opinion articles, (9) experimental studies. Exclusion criteria were: (1) non-human subjects, (2) non-English, (3) outside of the specified timeframe, (4) articles on male healthcare. The results of the literature review were synthesised into public health models of care: (1) primary care; (2) hospital-based and inter-conception care; (3) specific preconception care clinics; and, (4) community outreach. Fifteen evaluations of preconception care were identified. Community programmes demonstrated a significant impact on substance use, folic acid supplementation, diabetes optimization, and hyperphenylalaninemia. An ideal preconception visits entail risk screening, education, and intervention if indicated. Subsequently, four public health models were developed synthesizing preconception-care delivery at a population level. Heterogeneity of risk factors, health systems and strategies of care reflect the lack of consensus about the best way to deliver preconception care. The proposed models aim to reflect differing aspects of preconception healthcare delivery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Turkey 1 <1%
Philippines 1 <1%
United States 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 15%
Student > Master 18 11%
Student > Ph. D. Student 17 10%
Student > Bachelor 17 10%
Student > Postgraduate 11 7%
Other 44 27%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 46 28%
Nursing and Health Professions 32 19%
Social Sciences 17 10%
Agricultural and Biological Sciences 6 4%
Psychology 3 2%
Other 16 10%
Unknown 45 27%
Attention Score in Context

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 02 December 2013.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,433
of 2,039 outputs
Outputs of similar age
#133,867
of 216,296 outputs
Outputs of similar age from Maternal and Child Health Journal
#25
of 37 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 20th percentile – i.e., 20% 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 216,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.