title: Methods used in the Lives Saved Tool (LiST).
abstract: BACKGROUND
  Choosing an optimum set of child health interventions for maximum mortality impact is important within resource poor policy environments. The Lives Saved Tool (LiST) is a computer model that estimates the mortality and stillbirth impact of scaling up proven maternal and child health interventions. This paper will describe the methods used to estimate the impact of scaling up interventions on neonatal and child mortality.
  LiST estimates mortality impact via five age bands 0 months, 1-5 months, 6-11 months, 12-23 months and 24 to 59 months. For each of these age bands reductions in cause specific mortality are estimated. Nutrition interventions can impact either nutritional statuses or directly impact mortality. In the former case, LiST acts as a cohort model where current nutritional statuses such as stunting impact the probability of stunting as the cohort ages. LiST links with a demographic projections model (DemProj) to estimate the deaths and deaths averted due to the reductions in mortality rates.
  LiST can be downloaded at http://www.jhsph.edu/dept/ih/IIP/list/ where simple instructions are available for installation. LiST includes default values for coverage and effectiveness for many less developed countries obtained from credible sources.
  
  
  CONCLUSIONS
  The development of LiST is a continuing process. Via technical inputs from the Child Health Epidemiological Group, effectiveness values are updated, interventions are adopted and new features added.
authors.affiliation: Futures Institute, 41-A New London Turnpike, Glastonbury, Connecticut 06033, USA. bwinfrey@futuresinstitute.org
authors.forename: William
authors.initials: W
authors.lastname: Winfrey
authors.forename: Robert
authors.initials: R
authors.lastname: McKinnon
authors.forename: John
authors.initials: J
authors.lastname: Stover
mesh_terms: D046688:Child Mortality; D002675:Child, Preschool; D003198:Computer Simulation; D003906:Developing Countries; D006293:Health Promotion; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D007231:Infant, Newborn; D008962:Models, Theoretical; D009752:Nutritional Status