Using the Lives Saved Tool (LiST) to Model mHealth Impact on Neonatal Survival in Resource-Limited Settings

Jo, Youngji; Labrique, Alain; LeFevre, Amnesty; Mehl, Garrett; Pfaff, Teresa; Walker, Neff; Friberg, Ingrid K.

doi:10.1371/journal.pone.0102224

Cited by 46 publications

(34 citation statements)

References 43 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is therefore crucial to inform decision-makers on the need to support the prioritization of interventions aimed at reduction of stunting and advocacy for increased funding of maternal and child survival interventions. There is already evidence that LiST identifies priority areas for child health investment based on modelling the impact of evidence-based interventions at varying levels of coverage [15][16][17][18]20]. Although LiST has been mainly used to model the impact of scaling up maternal, newborn and child health intervention on child mortality [15][16][17][18][19][20], in our study, we presented the impact of reducing the prevalence of stunting on child survival in a rural setting.…”

Section: Discussionmentioning

confidence: 99%

“…The Lives Saved Tool (LiST) [16][17][18][19][20] which is incorporated into the OneHealth software was used to estimate the impact of stunting reduction on child mortality and cases of stunting averted in two scenarios -a) halving the prevalence of stunting by 2040, b) zero stunted children in Buhweju district by 2040. The modelling period was set at 2017-2040 to align with the Uganda vision target of zero stunted growth by 2040 [7].…”

Section: Lives Saved and Number Of Cases Of Stunting Avertedmentioning

confidence: 99%

“…Several studies have used the Lives Saved Tool (LiST) in developing countries to model the impact of evidence-based interventions and stunting on child survival at national level [15][16][17][18][19][20]. However, the impact of stunting on child survival has not been formally modelled at sub-national level particularly in resourcelimited settings where the burden of child mortality is highest.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling the impact of stunting on child survival in a rural Ugandan setting

2018

View full text Add to dashboard Cite

Background: Uganda ranks among the top 10 countries in the world for newborn and child mortality rates and among the top 34 for burden of stunting. This study was conducted to model the impact of stunting on child mortality in the southwest region of Uganda where the prevalence of stunting and child mortality are of great public health concern. Methods: The study was conducted in Buhweju district in the southwest region of Uganda. The study was cross-sectional involving use of a structured household questionnaire, focus group discussions and interviews with key informants in order to gather relevant information on infant and young child feeding (IYCF) and coverage of antenatal care (ANC) and vaccination programs. The survey of stunting, vaccination and ANC services covered 221 children aged 6-59 months while the assessment of IYCF practices covered 83 children aged 0-23. The Lives Saved Tool (LiST) was used to estimate the impact of stunting on child mortality and cases of stunting averted. Results: The study findings indicated that only 33% of the mothers had knowledge of optimal IYCF and 39% of the sampled children were exclusively breastfed. The majority of the mothers (57%) breastfed their children for less than 2 years and only 31% of the mothers practiced appropriate introduction of complementary foods at 6 months. Only 17% of the 0-23-month-olds received a good standard of IYCF. Only 37% of the mothers reportedly attended ANC 4 times or more during pregnancy and among children aged 6-59 months, only 28% were fully vaccinated. The high impact LiST model estimated that 1297 children under 5 years would be saved and 24,850 cases of stunting averted in the study district. Conclusions: The study concludes that IYCF practices and coverage of expanded programme on immunization (EPI) and ANC in the study population are sub-optimal thus the high prevalence of stunting and child mortality in the region. LiST demonstrated that prevention of stunting would reduce child mortality in rural Uganda. Therefore, increased investment in cost-effective child survival interventions targeting rural areas of Uganda would have a significant impact on stunting and child mortality.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Lives Saved and Number Of Cases Of Stunting Avertedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the impact of stunting on child survival in a rural Ugandan setting

2018

View full text Add to dashboard Cite

show abstract

“…As a supplement to clinical care, mHealth has tremendous potential to benefit people in low- and middle-income countries (LMICs). Short-term studies have shown that mHealth can improve health and health systems, with many studies focused on the areas of reproductive, maternal, newborn and child health in LMICs [3–5]. Countless mHealth interventions have been developed to address the needs of LMICs, and even a cursory examination of medical databases reveals over 7500 scholarly articles related to mHealth [6].…”

Section: Introductionmentioning

confidence: 99%

Integrating mHealth at point of care in low- and middle-income settings: the system perspective

Wallis

Blessing

Dalwai

et al. 2017

Global Health Action

122

121

View full text Add to dashboard Cite

While the field represents a wide spectrum of products and services, many aspects of mHealth have great promise within resource-poor settings: there is an extensive range of cheap, widely available tools which can be used at the point of care delivery. However, there are a number of conditions which need to be met if such solutions are to be adequately integrated into existing health systems; we consider these from regulatory, technological and user perspectives. We explore the need for an appropriate legislative and regulatory framework, to avoid ‘work around’ solutions, which threaten patient confidentiality (such as the extensive use of instant messaging services to deliver sensitive clinical information and seek diagnostic and management advice). In addition, we will look at other confidentiality issues such as the need for applications to remove identifiable information (such as photos) from users’ devices. Integration is dependent upon multiple technological factors, and we illustrate these using examples such as products made available specifically for adoption in low- and middle-income countries. Issues such as usability of the application, signal loss, data volume utilization, need to enter passwords, and the availability of automated or in-app context-relevant clinical advice will be discussed. From a user perspective, there are three groups to consider: experts, front-line clinicians, and patients. Each will accept, to different degrees, the use of technology in care – often with cultural or regional variation – and this is central to integration and uptake. For clinicians, ease of integration into daily work flow is critical, as are familiarity and acceptability of other technology in the workplace. Front-line staff tend to work in areas with more challenges around cell phone signal coverage and data availability than ‘back-end’ experts, and the effect of this is discussed.

show abstract

“…Mobile phones are thus changing the mode of communication globally and have proven a potential method of directly connecting pregnant women and mothers to health services [13]. SMS messages have also shown considerable impact on disease prevention efforts in developing countries and have particularly been quite effective for changing behavior in treatment adherence, smoke cessation, and health care appointment attendance [14][15][16][17][18][19][20].…”

Section: ]mentioning

confidence: 99%