Evidence map›Paper›PMID 25014008›Full record

ArticlePloS one2014

Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings.

Youngji Jo, Alain B Labrique, Amnesty E Lefevre, Garrett Mehl, Teresa Pfaff, Neff Walker, Ingrid K Friberg

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02909179 (mCARE II), which is not on this map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02909179 nacompletednot on this mapstarted 2016, after this paper: background citation

mCARE II: Enhancing, Integrating and Scaling mCARE and Measuring the Impact of a Mobile Health System to Support Healthy Pregnancies and Improve Newborn Survival

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2016 to 2020Enrolled113,539ConditionsHigh Perinatal Mortality, High Neonatal Mortality, Low Antenatal Care Service Utilization, Low Postnatal Care Service UtilizationArmsmCARE-II
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Information and communication technologies in neonatal health.Revista panamericana de salud publica = Pan American journal of public health · 2020
    Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors.

Youngji JoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
Alain B LabriqueDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
Amnesty E LefevreDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
Garrett MehlWorld Health Organization, Department of Reproductive Health and Research, Geneva, Switzerland.
Teresa PfaffJohns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America; Department of Community Public Health, Johns Hopkins School of Nursing, Baltimore, Maryland, United States of America.
Neff WalkerDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Ingrid K FribergDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Funding

World Health Organization 001
6 · The paper itself

Abstract

While the importance of mHealth scale-up has been broadly emphasized in the mHealth community, it is necessary to guide scale up efforts and investment in ways to help achieve the mortality reduction targets set by global calls to action such as the Millennium Development Goals, not merely to expand programs. We used the Lives Saved Tool (LiST)--an evidence-based modeling software--to identify priority areas for maternal and neonatal health services, by formulating six individual and combined interventions scenarios for two countries, Bangladesh and Uganda. Our findings show that skilled birth attendance and increased facility delivery as targets for mHealth strategies are likely to provide the biggest mortality impact relative to other intervention scenarios. Although further validation of this model is desirable, tools such as LiST can help us leverage the benefit of mHealth by articulating the most appropriate delivery points in the continuum of care to save lives.

Indexed as

SoftwareBangladeshChildDelivery, ObstetricDeveloping CountriesFemaleHumansInfantInfant MortalityInfant, NewbornMaternal Health ServicesPregnancyTelemedicineUganda

Identifiers

PMID25014008
PMCPMC4094557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.