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The feasibility of community level interventions for pre-eclampsia in South Asia and Sub-Saharan Africa: a mixed-methods design

Overview of attention for article published in Reproductive Health, June 2016
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  • Average Attention Score compared to outputs of the same age and source

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6 X users

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Title
The feasibility of community level interventions for pre-eclampsia in South Asia and Sub-Saharan Africa: a mixed-methods design
Published in
Reproductive Health, June 2016
DOI 10.1186/s12978-016-0133-0
Pubmed ID
Authors

Asif Raza Khowaja, Rahat Najam Qureshi, Diane Sawchuck, Olufemi T. Oladapo, Olalekan O. Adetoro, Elizabeth A. Orenuga, Mrutyunjaya Bellad, Ashalata Mallapur, Umesh Charantimath, Esperança Sevene, Khátia Munguambe, Helena Edith Boene, Marianne Vidler, Zulfiqar A. Bhutta, Peter von Dadelszen, CLIP Working Group

Abstract

Globally, pre-eclampsia and eclampsia are major contributors to maternal and perinatal mortality; of which the vast majority of deaths occur in less developed countries. In addition, a disproportionate number of morbidities and mortalities occur due to delayed access to health services. The Community Level Interventions for Pre-eclampsia (CLIP) Trial aims to task-shift to community health workers the identification and emergency management of pre-eclampsia and eclampsia to improve access and timely care. Literature revealed paucity of published feasibility assessments prior to initiating large-scale community-based interventions. Arguably, well-conducted feasibility studies can provide valuable information about the potential success of clinical trials prior to implementation. Failure to fully understand the study context risks the effective implementation of the intervention and limits the likelihood of post-trial scale-up. Therefore, it was imperative to conduct community-level feasibility assessments for a trial of this magnitude. A mixed methods design guided by normalization process theory was used for this study in Nigeria, Mozambique, Pakistan, and India to explore enabling and impeding factors for the CLIP Trial implementation. Qualitative data were collected through participant observation, document review, focus group discussion and in-depth interviews with diverse groups of community members, key informants at community level, healthcare providers, and policy makers. Quantitative data were collected through health facility assessments, self-administered community health worker surveys, and household demographic and health surveillance. Refer to CLIP Trial feasibility publications in the current and/or forthcoming supplement. Feasibility assessments for community level interventions, particularly those involving task-shifting across diverse regions, require an appropriate theoretical framework and careful selection of research methods. The use of qualitative and quantitative methods increased the data richness to better understand the community contexts. NCT01911494.

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X Demographics

The data shown below were collected from the profiles of 6 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 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 259 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 21%
Researcher 39 15%
Student > Ph. D. Student 27 10%
Student > Bachelor 22 8%
Student > Doctoral Student 12 5%
Other 42 16%
Unknown 64 25%
Readers by discipline Count As %
Medicine and Dentistry 58 22%
Nursing and Health Professions 54 21%
Social Sciences 31 12%
Agricultural and Biological Sciences 6 2%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 31 12%
Unknown 76 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 May 2017.
All research outputs
#7,262,863
of 25,371,288 outputs
Outputs from Reproductive Health
#848
of 1,567 outputs
Outputs of similar age
#109,541
of 354,658 outputs
Outputs of similar age from Reproductive Health
#22
of 39 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 45th percentile – i.e., 45% 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 354,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.