Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala

scientific article

Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/jamia/PrietoZR17
P356DOI10.1093/JAMIA/OCW102
P932PMC publication ID5391724
P698PubMed publication ID27474102

P50authorJosé Tomás PrietoQ57430696
P2093author name stringClara Zuleta
Jorge Tulio Rodríguez
P2860cites workA pilot study using interactive SMS support groups to prevent mother-to-child HIV transmission in South AfricaQ39542396
Reaching rural women: breast cancer prevention information seeking behaviors and interest in Internet, cell phone, and text use.Q39601214
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Mobile phone messaging reminders for attendance at healthcare appointmentsQ24201946
Mobile phone messaging for facilitating self-management of long-term illnessesQ24202475
Mobile phone messaging for communicating results of medical investigationsQ24202739
Mobile health (mHealth) approaches and lessons for increased performance and retention of community health workers in low- and middle-income countries: a reviewQ26821770
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The effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: Protocol for a systematic review and meta-analysisQ33814123
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Mobile phone intervention reduces perinatal mortality in zanzibar: secondary outcomes of a cluster randomized controlled trialQ33966771
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Antenatal health promotion via short message service at a Midwife Obstetrics Unit in South Africa: a mixed methods studyQ34151254
Special delivery: an analysis of mHealth in maternal and newborn health programs and their outcomes around the worldQ34193916
Applying a framework for assessing the health system challenges to scaling up mHealth in South AfricaQ34466727
Scaling up mHealth: where is the evidence?Q34592482
Text messaging as a tool for behavior change in disease prevention and managementQ34864592
Health behavior models in the age of mobile interventions: are our theories up to the task?Q35126122
Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trialQ35850076
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Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here?Q35926574
How effective are short message service reminders at increasing clinic attendance? A meta-analysis and systematic reviewQ36166593
Issues in mHealth: findings from key informant interviewsQ36435909
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Healthcare via cell phones: a systematic reviewQ37453453
Scope and effectiveness of mobile phone messaging for HIV/AIDS care: a systematic reviewQ38025672
mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countriesQ38199715
P275copyright licenseCreative Commons Attribution-NonCommercial 4.0 InternationalQ34179348
P6216copyright statuscopyrightedQ50423863
P433issue2
P921main subjectGuatemalaQ774
m-healthQ17069079
P304page(s)352-360
P577publication date2016-07-29
P1433published inJournal of the American Medical Informatics AssociationQ152037
P1476titleModeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala
P478volume24

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cites work (P2860)
Q98945933Bottlenecks and barriers to effective coverage of early childhood health and development interventions in Guatemala: A scoping review
Q90686616Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis
Q57283884The State of Digital Interventions for Demand Generation in Low- and Middle-Income Countries: Considerations, Emerging Approaches, and Research Gaps
Q92358932Use of mobile phones for behavior change communication to improve maternal, newborn and child health: a scoping review
Q45948877Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala.

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