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Does mobile phone ownership predict better utilization of maternal and newborn health services? a cross-sectional study in Timor-Leste

Overview of attention for article published in BMC Pregnancy and Childbirth, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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24 X users
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2 Facebook pages

Citations

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23 Dimensions

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145 Mendeley
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Title
Does mobile phone ownership predict better utilization of maternal and newborn health services? a cross-sectional study in Timor-Leste
Published in
BMC Pregnancy and Childbirth, July 2016
DOI 10.1186/s12884-016-0981-1
Pubmed ID
Authors

Juan Nie, Jennifer Anna Unger, Susan Thompson, Marisa Hofstee, Jing Gu, Mary Anne Mercer

Abstract

Increasingly popular mobile health (mHealth) programs have been proposed to promote better utilization of maternal, newborn and child health services. However, women who lack access to a mobile phone are often left out of both mHealth programs and research. In this study, we determine whether household mobile phone ownership is an independent predictor of utilization of maternal and newborn health services in Timor-Leste. The study included 581 women aged 15-49 years with a child under the age of two years from the districts of Manufahi and Ainaro in Timor-Leste. Participants were interviewed via a structured survey of knowledge, practices, and coverage of maternal and child health services, with additional questions related to ownership and utilization of mobile phones. Mobile phone ownership was the exposure variable, and the dependent variables included having at least four antenatal care visits, skilled birth attendance, health facility delivery, a postnatal checkup within 24 h, and a neonatal checkup within 24 h for their youngest child. Logistic regression models were applied to assess for associations. Sixty-seven percent of women reported having at least one mobile phone in the family. Women who had a mobile phone were significantly more likely to be of higher socioeconomic status and to utilize maternal and newborn health services. However, after adjusting socioeconomic factors, household mobile phone ownership was not independently associated with any of the dependent variables. Evaluations of the effects of mHealth programs on health in a population need to consider the likelihood of socioeconomic differentials indicated by mobile phone ownership.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 25%
Researcher 26 18%
Student > Ph. D. Student 11 8%
Lecturer 9 6%
Student > Doctoral Student 8 6%
Other 22 15%
Unknown 33 23%
Readers by discipline Count As %
Nursing and Health Professions 35 24%
Medicine and Dentistry 28 19%
Social Sciences 14 10%
Psychology 5 3%
Computer Science 4 3%
Other 17 12%
Unknown 42 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 16 August 2016.
All research outputs
#1,741,036
of 23,881,329 outputs
Outputs from BMC Pregnancy and Childbirth
#425
of 4,379 outputs
Outputs of similar age
#33,505
of 368,460 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#10
of 94 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 91% 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 368,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.