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Antenatal care trial interventions: a systematic scoping review and taxonomy development of care models

Overview of attention for article published in BMC Pregnancy and Childbirth, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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11 X users
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249 Mendeley
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Title
Antenatal care trial interventions: a systematic scoping review and taxonomy development of care models
Published in
BMC Pregnancy and Childbirth, January 2017
DOI 10.1186/s12884-016-1186-3
Pubmed ID
Authors

Andrew Symon, Jan Pringle, Soo Downe, Vanora Hundley, Elaine Lee, Fiona Lynn, Alison McFadden, Jenny McNeill, Mary J Renfrew, Mary Ross-Davie, Edwin van Teijlingen, Heather Whitford, Fiona Alderdice

Abstract

Antenatal care models vary widely around the world, reflecting local contexts, drivers and resources. Randomised controlled trials (RCTs) have tested the impact of multi-component antenatal care interventions on service delivery and outcomes in many countries since the 1980s. Some have applied entirely new schemes, while others have modified existing care delivery approaches. Systematic reviews (SRs) indicate that some specific antenatal interventions are more effective than others; however the causal mechanisms leading to better outcomes are poorly understood, limiting implementation and future research. As a first step in identifying what might be making the difference we conducted a scoping review of interventions tested in RCTs in order to establish a taxonomy of antenatal care models. A protocol-driven systematic search was undertaken of databases for RCTs and SRs reporting antenatal care interventions. Results were unrestricted by time or locality, but limited to English language. Key characteristics of both experimental and control interventions in the included trials were mapped using SPIO (Study design; Population; Intervention; Outcomes) criteria and the intervention and principal outcome measures were described. Commonalities and differences between the components that were being tested in each study were identified by consensus, resulting in a comprehensive description of emergent models for antenatal care interventions. Of 13,050 articles retrieved, we identified 153 eligible articles including 130 RCTs in 34 countries. The interventions tested in these trials varied from the number of visits to the location of care provision, and from the content of care to the professional/lay group providing that care. In most studies neither intervention nor control arm was well described. Our analysis of the identified trials of antenatal care interventions produced the following taxonomy: Universal provision model (for all women irrespective of health state or complications); Restricted 'lower-risk'-based provision model (midwifery-led or reduced/flexible visit approach for healthy women); Augmented provision model (antenatal care as in Universal provision above but augmented by clinical, educational or behavioural intervention); Targeted 'higher-risk'-based provision model (for woman with defined clinical or socio-demographic risk factors). The first category was most commonly tested in low-income countries (i.e. resource-poor settings), particularly in Asia. The other categories were tested around the world. The trials included a range of care providers, including midwives, nurses, doctors, and lay workers. Interventions can be defined and described in many ways. The intended antenatal care population group proved the simplest and most clinically relevant way of distinguishing trials which might otherwise be categorised together. Since our review excluded non-trial interventions, the taxonomy does not represent antenatal care provision worldwide. It offers a stable and reproducible approach to describing the purpose and content of models of antenatal care which have been tested in a trial. It highlights a lack of reported detail of trial interventions and usual care processes. It provides a baseline for future work to examine and test the salient characteristics of the most effective models, and could also help decision-makers and service planners in planning implementation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 249 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 12%
Researcher 26 10%
Student > Bachelor 25 10%
Student > Ph. D. Student 18 7%
Other 14 6%
Other 47 19%
Unknown 88 35%
Readers by discipline Count As %
Nursing and Health Professions 66 27%
Medicine and Dentistry 38 15%
Social Sciences 11 4%
Psychology 8 3%
Economics, Econometrics and Finance 7 3%
Other 21 8%
Unknown 98 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 October 2017.
All research outputs
#4,702,100
of 23,567,572 outputs
Outputs from BMC Pregnancy and Childbirth
#1,305
of 4,333 outputs
Outputs of similar age
#93,881
of 423,204 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#32
of 76 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,333 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 69% 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 423,204 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 77% of its contemporaries.
We're also able to compare this research output to 76 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 56% of its contemporaries.