Maternal Mortality Trends in Rural Uttar Pradesh, India: A 6-year Retrospective Study at a Tertiary Care Institution

Kanti, Vaibhav; Sharma, Priya; Seth, Shikha

doi:10.5005/jp-journals-10006-1532

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…For instance, in Uttar Pradesh, a state in the northern part of India, MMR varies from 280 to 1,180 deaths per 100,000 live births, with the highest MMR being present in the rural districts. 7,8 It can be further argued that the progress achieved, to date, represents the most readily accessible opportunities to reducing MMR and the difficult task of reducing maternal mortality rates in rural and less economically developed regions now lies ahead for India. 6 This only increases the urgency for public health solutions targeting maternal health, which are specifically designed for rural and resource-poor areas.…”

Section: Materials and Methods: The Wonder System Consists Of A Cloud-based Electronic Health Record With A Clinical Decision Support Toomentioning

confidence: 99%

Digitized Maternal Early Warning and Response Telehealth System

Kuppuswami

Subramanian

Groff

et al. 2021

TMT

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Introduction: In this article, we describe a pilot telehealth project for identifying women at risk of developing serious complications early and for instituting timely, appropriate, and up-to-date management even in situations with limited resources and skilled obstetric services. Maternal mortality remains unacceptably high, with less than two-thirds of the signatories to the 2015 Millennium Development Goals achieving the outlined 75% reduction in maternal mortality ratio (MMR) from 1990 to 2015. Looking forward to 2030, the Sustainable Development Goals (SDGs) lay out a target of reducing the MMR in every country to below 70 per 100,000 live births. This will require progress in low-and-middle-income countries at a rate much greater than that seen over the past 15 years. Given that 94% of the global maternal deaths occur in low- and-middle-income countries, a solution to meet the unique challenges of these countries will be necessary to achieve the SDG. The Women’s Obstetrical Neonatal Death and Reduction (WONDER) telehealth system described here offers a potential telehealth solution to reduce mortality and morbidity rates in resource-limited environments by early identification of risk indicators and initiation of care. Materials and methods: The WONDER system consists of a cloud-based electronic health record with a Clinical Decision Support tool and a color-coded alert system. The Clinical Decision Support tool is based upon Maternal Early Warning Signs and provides real-time assistance to caregivers via relevant national treatment guidelines. This system uses inexpensive computing hardware, displays, and cell-phone technology. This system was tested in a 2-year pilot study in India. A total of 15,184 patients were monitored during labor and the postpartum period. Results: Within limitations of the study, the incidence of in-hospital eclampsia was reduced by 91.7%, and in 95% of cases, timely treatment was started within an hour of identifying the abnormality in vital signs. Maternal mortality was reduced by 50.1% over local benchmark figures. Conclusions: The WONDER system identified at-risk patients, directed skilled care to those patients at risk for complications, and helped to institute effective, timely treatment, demonstrating a potential solution for women in resource-limited locations.

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Section: Materials and Methods: The Wonder System Consists Of A Cloud-based Electronic Health Record With A Clinical Decision Support Toomentioning

confidence: 99%

Digitized Maternal Early Warning and Response Telehealth System

Kuppuswami

Subramanian

Groff

et al. 2021

TMT

View full text Add to dashboard Cite

show abstract

Maternal Mortality Trends in Rural Uttar Pradesh, India: A 6-year Retrospective Study at a Tertiary Care Institution

Cited by 1 publication

References 5 publications

Digitized Maternal Early Warning and Response Telehealth System

Digitized Maternal Early Warning and Response Telehealth System

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