The design and implementation of the PartoPen maternal health monitoring system

Underwood, Heather; Sterling, S. Revi; Bennett, John K.

doi:10.1145/2442882.2442893

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…Our deployment, where sensors were installed at participants homes in urban and peri-urban environments, is a bit unusual in ICT for development. Many works exist within rural contexts [8,12,14,15,24], contain a dependence on user interaction [12,14,15,24], or have a deployment context within larger organizations [9,18,28]. While our experiences do not reflect all of these other contexts, they do allow us to capture one of the first road maps for in-home, non-rural, continuous sensing in the development context.…”

Section: Related Work 71 Experiences Deploying Ictdsmentioning

confidence: 99%

Hardware, apps, and surveys at scale

Klugman

Adkins

Berkouwer

et al. 2019

Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies

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The vision of sensor systems that collect critical and previously ungathered information about the world is often only realized when sensors, students, and subjects move outside the academic laboratory. However, deployments at even the smallest scales introduce complexities and risks that can be difficult for a research team to anticipate. Over the past year, our interdisciplinary team of engineers and economists has been designing, deploying, and operating a large sensor network in Accra, Ghana that measures power outages and quality at households and firms. This network consists of 457 custom sensors, over 3,000 mobile app instances, thousands of participant surveys, and custom user incentive and deployment management systems. In part, this deployment supports an evaluation of the impacts of investments in the grid on reliability and the subsequent effects of improvements in reliability on socioeconomic well-being. We report our experiences as we move from performing small pilot deployments to our current scale, attempting to identify the pain points at each stage of the deployment. Finally, we extract high-level observations and lessons learned from our deployment activities, which we wish we had originally known when forecasting budgets, human resources, and project timelines. These insights will be critical as we look toward scaling our deployment to the entire city of Accra and beyond, and we hope that they will encourage and support other researchers looking to measure highly granular information about our world's critical systems. CCS CONCEPTS • Hardware → Sensor applications and deployments; Energy metering; • Social and professional topics → Systems development; System management.

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Section: Related Work 71 Experiences Deploying Ictdsmentioning

confidence: 99%

Hardware, apps, and surveys at scale

Klugman

Adkins

Berkouwer

et al. 2019

Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies

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“…The Swasthya Slate (Swasthya, 2015) is a tabletbased platform interfaced with a collection of medical/diagnostic sensors that has been developed for CHWs and medical professionals in rural India. The most relevant work in addressing the labour process is the PartoPen (Underwood et al, 2013), where a pen-like device is used on specially printed partograph forms, while also digitally recording the inputs and providing timely audio reminders and feedback on a tiny screen on the device. The PartoPen approach is not to supplant the existing paper-based protocols, but to automatically extract information from the forms and supplement the process with feedback and reminders.…”

Section: Related Workmentioning

confidence: 99%

prasavGraph: Android based Labour Monitoring

Singh¹,

Paul

Yadav

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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The simplified Partograph is a concise charting mechanism used by skilled birth attendants for recording and communicating the important parameters and developments during the labour process. Compliance and correct plotting of partographs may be significantly improved with the use of technology. This paper reports the development of an Android-based smart phone/tablet application to plot the partograph. To date such a complete application is not available. We envisage that over a period of time, systematic plotting of partographs will encourage providers to use it as a decision-making tool and thereby reduce morbidity and mortality both of mother and foetus/newborn arising out of complications during labour and its sequelae.

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“…Research efforts to address these challenges include pictorial interfaces [31], speech-based interfaces [52,42], and other simplified interfaces or interaction designs [30,11,27]. Other works seek to preserve existing practices to leverage affordances of traditional technologies such as pen and pencil [8,13,51] and bring technology into workflows through less disruptive means. Low education may be less immediate of a problem in computing with limits depending on the kinds of scenarios considered, but certainly limitations imposed by user capabilities (e.g.…”

Section: Usabilitymentioning

confidence: 99%

Computing within limits and ICTD

Chen¹

2015

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Computing research today is fixated on high performance and large scale, but computing can be tremendously powerful even at low power and small scale. In this article we present a perspective on promising directions for research on computing within limits, where concerns about limits overshadow performance and scale. Despite coming from different motivations, computing within limits has very similar considerations as Information Communication Technology for Development (ICTD). We discuss where the two research areas intersect and where they may diverge. We draw parallels between computing within limits and ICTD in terms of technical constraints, designing for context, and goals. We hope to help stimulate computing within limits with ideas from ICTD and highlight research synergies.

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The design and implementation of the PartoPen maternal health monitoring system

Cited by 11 publications

References 14 publications

Hardware, apps, and surveys at scale

Hardware, apps, and surveys at scale

prasavGraph: Android based Labour Monitoring

Computing within limits and ICTD

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