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Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?
Published in
BMC Medical Informatics and Decision Making, March 2017
DOI 10.1186/s12911-017-0421-9
Pubmed ID
Authors

Amnesty E. LeFevre, Diwakar Mohan, David Hutchful, Larissa Jennings, Garrett Mehl, Alain Labrique, Karen Romano, Anitha Moorthy

Abstract

Despite the growing use of technology in the health sector, little evidence is available on the technological performance of mobile health programs nor on the willingness of target users to utilize these technologies as intended (behavioral performance). In this case study of the Mobile Technology for Health (MOTECH) program in Ghana, we assess the platform's effectiveness in delivering messages, along with user response across sites in five districts from 2011 to 2014. MOTECH is comprised of "Client Data Application" (CDA) which allows providers to digitize and track service delivery information for women and infants and "Mobile Midwife" (MM) which sends automated educational voice messages to the mobile phones of pregnant and postpartum women. Using a naturalist study design, we draw upon system generated data to evaluate message delivery, client engagement, and provider responsiveness to MOTECH over time and by level of facility. A total of 7,370 women were enrolled in MM during pregnancy and 14,867 women were enrolled postpa1rtum. While providers were able to register and upload patient-level health information using CDA, the majority of these uploads occurred in Community-based facilities versus Health Centers. For MM, 25% or less of expected messages were received by pregnant women, despite the majority (>77%) owning a private mobile phone. While over 80% of messages received by pregnant women were listened to, postpartum rates of listening declined over time. Only 25% of pregnant women received and listened to at least 1 first trimester message. By 6-12 months postpartum, less than 6% of enrolled women were exposed to at least one message. Caution should be exercised in assuming that digital health programs perform as intended. Evaluations should measure the technological, behavioral, health systems, and/or community factors which may lead to breaks in the impact pathway and influence findings on effectiveness. The MOTECH platform's technological limitations in 'pushing' out voice messages highlights the need for more timely use of data to mitigate delivery challenges and improve exposure to health information. Alternative message delivery channels (USSD or SMS) could improve the platform's ability to deliver messages but may not be appropriate for illiterate users. Not applicable.

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The data shown below were collected from the profiles of 7 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 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 408 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 70 17%
Researcher 51 13%
Student > Ph. D. Student 45 11%
Student > Bachelor 39 10%
Student > Doctoral Student 25 6%
Other 55 13%
Unknown 123 30%
Readers by discipline Count As %
Medicine and Dentistry 68 17%
Nursing and Health Professions 56 14%
Social Sciences 36 9%
Computer Science 20 5%
Business, Management and Accounting 18 4%
Other 68 17%
Unknown 142 35%
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 15 March 2018.
All research outputs
#5,048,750
of 24,348,815 outputs
Outputs from BMC Medical Informatics and Decision Making
#450
of 2,075 outputs
Outputs of similar age
#85,341
of 311,846 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 31 outputs
Altmetric has tracked 24,348,815 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 78% 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 311,846 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 72% of its contemporaries.
We're also able to compare this research output to 31 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 70% of its contemporaries.