2017
DOI: 10.2196/medinform.6959
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Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review

Abstract: BackgroundProper monitoring of labor and childbirth prevents many pregnancy-related complications. However, monitoring is still poor in many places partly due to the usability concerns of support tools such as the partograph. In 2011, the World Health Organization (WHO) called for the development and evaluation of context-adaptable electronic health solutions to health challenges. Computerized tools have penetrated many areas of health care, but their influence in supporting health staff with childbirth seems … Show more

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Cited by 9 publications
(9 citation statements)
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“…mHealth involves medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices [ 1 ]. Seizing upon the promise of mobile digital platforms for data collection and dissemination, health systems are increasingly piloting, adopting, and scaling up provider-facing mHealth applications to improve health care delivery; registries and vital events tracking; electronic health records (EHRs); data collection and reporting; electronic clinical decision support systems (e-CDSSs); and provider training, education, and supportive supervision [ 2 , 3 , 4 , 5 , 6 ]. Multiple reviews have shown that mHealth approaches, particularly those that employ e-CDSSs as a central component, can lead to improvements in provider behaviors as well as patient outcomes [ 7 , 8 , 9 , 10 ], although few have been successfully scaled up [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…mHealth involves medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices [ 1 ]. Seizing upon the promise of mobile digital platforms for data collection and dissemination, health systems are increasingly piloting, adopting, and scaling up provider-facing mHealth applications to improve health care delivery; registries and vital events tracking; electronic health records (EHRs); data collection and reporting; electronic clinical decision support systems (e-CDSSs); and provider training, education, and supportive supervision [ 2 , 3 , 4 , 5 , 6 ]. Multiple reviews have shown that mHealth approaches, particularly those that employ e-CDSSs as a central component, can lead to improvements in provider behaviors as well as patient outcomes [ 7 , 8 , 9 , 10 ], although few have been successfully scaled up [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…The ePartogram reinforces SBA clinical expertise by supporting appropriate monitoring and care during labor. Several mobile and computer-based tools are under development with the shared vision of improving care during labor [ 10 , 15 , 16 ]; however, most of these products are in the early introduction phase and further rigorous research is needed [ 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…Besides, we didn’t seek new parameters for childbirth monitoring but rather the identification of the (non)contentious ones and seek convergence. The initial round was informed by a synthesis of the existing childbirth management guidelines and literature review on partograph use [2, 7, 15, 18, 19, 21, 23, 25, 30]. A synopsis was provided to potential participants in the invitation email and in the introduction of the questionnaires.…”
Section: Methodsmentioning
confidence: 99%
“…Other researchers recommended the cessation of using community-generated childbirth monitoring curves in making decisions for individuals [24]. A review of the computerized childbirth monitoring tools found a limited number of them but they were not suited to the diverse birth monitoring contexts in SSA [25]. The WHO called for research into other paper or digital labour monitoring tools that are more efficacious and acceptable to maternity service providers to guide clinical decisions, avoid excessive interventions and improve birth outcomes [20, 26].…”
Section: Introductionmentioning
confidence: 99%