Evidence map›Paper›PMID 28292288›Full record

ArticleBMC medical informatics and decision making2017

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

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

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amnesty E LeFevreDepartment of International Health, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. aelefevre@gmail.com.
Diwakar MohanDepartment of International Health, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
David HutchfulGrameen Foundation Ghana, OSDTD5041 No. 25 Labone Cresent, Accra, Ghana.
Larissa JenningsDepartment of International Health, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Garrett MehlWorld Health Organization, Geneva, Switzerland.
Alain LabriqueDepartment of International Health, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Karen RomanoGrameen Foundation Ghana, OSDTD5041 No. 25 Labone Cresent, Accra, Ghana.
Anitha MoorthyGrameen Foundation Ghana, OSDTD5041 No. 25 Labone Cresent, Accra, Ghana.

Funding

Integrating Microenterprise and Behavioral Economics for HIV Prevention in African-American Young AdultsK01MH107310 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI JENNINGS MAYO-WILSON, LARISSA · 2015 to 2019
$848k
NIMH NIH HHS K01 MH107310World Health Organization 001
6 · The paper itself

Abstract

backgroundDespite 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.

methodsMOTECH 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.

resultsA 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.

conclusionsCaution 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.

trial registrationNot applicable.

Indexed as

Maternal-Child Health ServicesOutcome and Process Assessment, Health CareTelemedicineText MessagingAdultCommunity Health ServicesFemaleGhanaHumansPostpartum PeriodPregnancyProgram DevelopmentDigital healthFrontline health workersIVR messagingMaternal and child healthmHealth

Identifiers

PMID28292288
PMCPMC5351254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.