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Use of an electronic Partograph: feasibility and acceptability study in Zanzibar, Tanzania

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Citations

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157 Mendeley
Title
Use of an electronic Partograph: feasibility and acceptability study in Zanzibar, Tanzania
Published in
BMC Pregnancy and Childbirth, May 2018
DOI 10.1186/s12884-018-1760-y
Pubmed ID
Authors

Lindsay Elizabeth Litwin, Christina Maly, Asma Ramadan Khamis, Cyndi Hiner, Jérémie Zoungrana, Khadija Mohamed, Mary Drake, Michael Machaku, Mustafa Njozi, Salhiya Ali Muhsin, Yusuph K. Kulindwa, Patricia P. Gomez

Abstract

The ePartogram is a tablet-based application developed to improve care for women in labor by addressing documented challenges in partograph use. The application is designed to provide real-time decision support, improve data entry, and increase access to information for appropriate labor management. This study's primary objective was to evaluate the feasibility and acceptability of ePartogram use in resource-constrained clinical settings. The ePartogram was introduced at three facilities in Zanzibar, Tanzania. Following 3 days of training, skilled birth attendants (SBAs) were observed for 2 weeks using the ePartogram to monitor laboring women. During each observed shift, data collectors used a structured observation form to document SBA comfort, confidence, and ability to use the ePartogram. Results were analyzed by shift. Short interviews, conducted with SBAs (n = 82) after each of their first five ePartogram-monitored labors, detected differences over time. After the observation period, in-depth interviews were conducted (n = 15). A thematic analysis of interview transcripts was completed. Observations of 23 SBAs using the ePartogram to monitor 103 women over 84 shifts showed that the majority of SBAs (87-91%) completed each of four fundamental ePartogram tasks-registering a client, entering first and subsequent measurements, and navigating between screens-with ease or increasing ease on their first shift; this increased to 100% by the fifth shift. Nearly all SBAs (93%) demonstrated confidence and all SBAs demonstrated comfort in using the ePartogram by the fifth shift. SBAs expressed positive impressions of the ePartogram and found it efficient and easy to use, beginning with first client use. SBAs noted the helpfulness of auditory reminders (indicating that measurements were due) and visual alerts (signaling abnormal measurements). SBAs expressed confidence in their ability to interpret and act on these reminders and alerts. It is feasible and acceptable for SBAs to use the ePartogram to support labor management and care. With structured training and support during initial use, SBAs quickly became competent and confident in ePartogram use. Qualitative findings revealed that SBAs felt the ePartogram improved timeliness of care and supported decision-making. These findings point to the ePartogram's potential to improve quality of care in resource-constrained labor and delivery settings.

X Demographics

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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 18%
Student > Bachelor 19 12%
Student > Ph. D. Student 10 6%
Researcher 9 6%
Lecturer 6 4%
Other 22 14%
Unknown 62 39%
Readers by discipline Count As %
Nursing and Health Professions 31 20%
Medicine and Dentistry 18 11%
Social Sciences 11 7%
Agricultural and Biological Sciences 4 3%
Engineering 4 3%
Other 24 15%
Unknown 65 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2018.
All research outputs
#6,172,479
of 24,823,556 outputs
Outputs from BMC Pregnancy and Childbirth
#1,547
of 4,626 outputs
Outputs of similar age
#98,787
of 333,127 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#62
of 150 outputs
Altmetric has tracked 24,823,556 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,626 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 66% 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 333,127 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 70% of its contemporaries.
We're also able to compare this research output to 150 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 59% of its contemporaries.