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LiST modelling with monitoring data to estimate impact on child mortality of an ORS and zinc programme with public sector providers in Bihar, India

Bibliographic Data

ID15380672
AuthorsA Jayachandran (0000-0003-1513-8582, corresponding author), Jayachandran A Ayyanat, C Harbour (0009-0004-0976-7993, Children's Investment Fund Foundation), Sanjeev Kumar (0000-0002-9093-0185), Manjula Singh (0000-0001-8656-3768)
Year2018
Volume18
Issue1
Pages103-103
Publication date2018-01-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-017-5008-y
PMID29304779
OpenAlexW2782022339
LanguageEN
References cited14

Programme monitoring data can be used with LiST modelling software to estimate coverage rates and programme impact on child mortality. This modelling approach may cost less and yield estimates sooner than directly measuring programme impact with population-based surveys. However, users must be cautious about relying on modelled estimates of impact and ensure that the programme monitoring data used is complete and precise about the programme aspects that are modelled. Otherwise, LiST may mis-estimate impact on child mortality. Further, LiST software may require modifications to its built-in assumptions to capture programmatic inputs. LiST assumes that mortality rates and cause of death structure change only in response to changes in programme coverage. In Bihar, overall child mortality has decreased and diarrhoea seems to be less lethal than previously, but at present LiST does not adjust its estimates for these sorts of changes

Biostatistics · Child mortality · Environmental health · Micronutrient · Population · Psychological intervention · Public health · Public sector · Child Nutrition and Water Access · Global Maternal and Child Health · Medicine · Nursing · Poverty, Education, and Child Welfare

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Citation velocityhistorical
Highly citedNo

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