Smart Phones for Better Managing Eclampsia and Pre-Eclampsia in Pakistan
Anam Feroz1*,
Adeel Khoja2
1Department of Community Health Sciences, The Aga Khan
University, Pakistan
2Departmentof Medicine, The Aga Khan University, Pakistan
*Corresponding author: Anam Feroz, Department of Community Health Sciences, The Aga Khan University Stadium Road, PO Box 3500, Karachi, Pakistan. Email: anam.feroz@aku.edu
Received Date: 07 March, 2019; Accepted Date: 19 April, 2019; Published Date: 30 April, 2019
Citation: Feroz A and Khoja A (2019) Smart phones for
Better Managing Eclampsia and Pre-Eclampsia in Pakistan. Educ Res Appl 6: 160.
DOI: 10.29011/2575-7032/10000160
Existing weak health care systems, especially
those in LMICs, undergo a devastating human and economic toll as a result of
increasing burden of maternal deaths due to eclampsia and pre-eclampsia. In Pakistan, eclampsia is responsible
for one in ten maternal deaths, and claims 2000 maternal lives every year [1]. To meet the sustainable development goal 3-good
health and well-being, and particularly target 3.1-reduce the global maternal
mortality ratio to less than 70 per 100 000 live births by 2030 [2], it is of utmost importance to reduce the burden
of adverse maternal outcomes related to pregnancy hypertension. What might
stimulate progress? An apparent and accessible solution is the use of mobile
health technology, which offers great promise to support hypertensive disorders
during pregnancy and improve current clinical practice as per standard
guidelines [3].
Many Low-and Middle-Income
Countries (LMICs) have greatly benefited from mobile health (mHealth)
solutions, as it offers a novel way in preventing delays in early
identification, triage, transport and treatment of pregnancy complications
[3,4]. In Tanzania, a mHealth strategy have been used to reduce
preeclampsia-eclampsia and maternal and infant death. The mHealth strategy
involves an automated vital remote monitoring using a mobile app. On a routine
visit, the health worker records the vitals of a pregnant woman which are then
sent to a server where the health status of a pregnant woman is determined
based on a standard algorithm. Besides, maternal health care experts also
assess pregnant women health status and advise them with the correct course of
action, particularly in cases where immediate medical attention is required.
This strategy also supports in health facility preparedness, based on the
information collected on mobile app from pregnant women [5].
The use of technology in the
health sector of Pakistan, like other low-middle-income countries, is in its
very early stage. Most of the digital health strategies implemented so far,
have been tested as pilot projects. One such successful mHealth trial, Community
Level Interventions for Pre-eclampsia (CLIP), was conducted in Sindh, Pakistan
to evaluate the feasibility of a low cost, technology-focused approach to
screen pre-eclampsia and eclampsia by utilizing Lady Health Workers (LHWs) [6].
The intervention involves screening of pregnant women by LHWs for symptoms
related to pre-eclampsia. LHWs are required to measure blood pressure and
oxygen saturation levels of the women which are then entered into a
smartphone-based mobile health application, “PIERS On the Move”, which
determines the risk of severe pre-eclampsia. This mHealth strategy has reached
up to 39,444 pregnant women in the two districts of Sindh and results of the
intervention indicates obvious improvement in awareness of the disease and
health seeking behavior of women [6,7].
While some work has been done in establishing
technology-focused approach to tackle pre-eclampsia and eclampsia in community
settings, there is considerable lack of work in the domain of routine
monitoring and management of high-risk pregnant women using an innovative
technology at the tertiary care level. Majority of deaths occur in LMICs,
mainly due to delays in early identification of women at risk, transportation
to well-equipped facilities, and prompt treatment. Hence, there is a need to
design a low-cost automated vital monitoring program using a mobile app, for
measuring blood pressure and other vital signs in high-risk pregnant women on
remote basis. The automated vital monitoring intervention could be targeted at
high-risk pregnant women visiting out-patient clinics of secondary and tertiary
care facilities and automated vital monitoring app can be installed in the
smartphone devices of enrolled pregnant women. The app could remotely record
the vital signs and related symptoms in high-risk pregnant women, between
antenatal appointments and the routine monitoring records could be accessed by
primary physician in real-time to advice women on the best course of action.
The technology focused approach would support in routine monitoring and
management of high-risk women.
In most LMICs, including
Pakistan, health care systems are not readily adopting mHealth and Information
and Communication Technologies (ICTs) for ensuring better management of
hypertensive disorders of pregnancy. The adoption of mHealth solutions is
restricted due to several factors, such as high initial investment and
operational cost of mHealth interventions, high cost for mHealth infrastructure
including software development, poor internet connectivity in the remote areas,
and barrier of using too many local languages in mHealth programs [8]. To
successfully integrate mHealth strategy into existing health systems for
reducing high burden of maternal deaths caused by hypertensive disorders of
pregnancy, more research-based evidence is needed to convince the academics,
public health experts, clinicians and policy makers to collaborate and come on
common grounds (public-private partnership) to effectively implement this
strategy. Alongside, future research should be directed to explore the health
providers’ and communities’ willingness to adopt mHealth solutions principally
to ensure better management of eclampsia and preeclampsia in the context of
Pakistan.
Declarations
Competing Interests: The
authors declare that they have no competing interests.
Funding: Not
applicable
1. Studies
NIoP, Inc MI (2008) Pakistan demographic and health survey 2006-07. National
Institute of Population Studies and Macro International Inc.