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Determinants of use of care provided by complementary and alternative health care practitioners to pregnant women in primary midwifery care: a prospective cohort study

Overview of attention for article published in BMC Pregnancy and Childbirth, June 2015
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6 Dimensions

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97 Mendeley
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Title
Determinants of use of care provided by complementary and alternative health care practitioners to pregnant women in primary midwifery care: a prospective cohort study
Published in
BMC Pregnancy and Childbirth, June 2015
DOI 10.1186/s12884-015-0555-7
Pubmed ID
Authors

Esther I Feijen-de Jong, Danielle EMC Jansen, Frank Baarveld, Evelien Spelten, François Schellevis, Sijmen A Reijneveld

Abstract

Pregnant women visit complementary/alternative health care practitioners in addition to regular maternal health care practitioners. A wide variation has been reported with regard to rates and determinants of use of complementary/alternative medicine (CAM), which may be due to heterogeneous populations. The aim of this study was to examine the prevalence and determinants of use of CAM practitioners by a homogeneous population of low-risk pregnant women in the Netherlands. Data from the population-based DELIVER study was used, concerning 1500 clients from twenty midwifery practices across the Netherlands in 2009 and 2010. CAM use was measured based on patient reports. Potential determinants were derived from Andersen's behavioural model of health care utilization. The prevalence of CAM practitioner use by low-risk pregnant women was 9.4 %. Women were more likely to use CAM if they had supplementary health care insurance (OR 3.11; CI 1.41-6.85), rated their health as 'bad/fair' (OR 2.63; CI 1.65-4.21), reported a chronic illness or handicap (OR 1.93; CI 1.14-3.27), smoked during pregnancy (OR 1.88; CI 1.06-3.33), or used alcohol during pregnancy (OR 2.30; CI 1.46-3.63). CAM is relatively frequently used by low-risk pregnant women. Determinants revealed in this study diverge from other studies using heterogeneous populations. Maternal health care practitioners must be aware of CAM use by low-risk pregnant women and incorporate this knowledge into daily practice by actively discussing this subject with pregnant women.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Bachelor 13 13%
Student > Postgraduate 10 10%
Student > Doctoral Student 7 7%
Researcher 7 7%
Other 19 20%
Unknown 28 29%
Readers by discipline Count As %
Medicine and Dentistry 30 31%
Nursing and Health Professions 26 27%
Social Sciences 4 4%
Agricultural and Biological Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 4 4%
Unknown 28 29%
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 13 August 2015.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Pregnancy and Childbirth
#2,976
of 4,379 outputs
Outputs of similar age
#147,994
of 266,249 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#35
of 50 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,379 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 28th percentile – i.e., 28% 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 266,249 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.