Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST)

dc.contributor.authorNkonki, Lungiswa L.en_ZA
dc.contributor.authorChola, Lumbween_ZA
dc.contributor.authorTugendhaft, Avivaen_ZA
dc.contributor.authorHofman, Karenen_ZA
dc.date.accessioned2018-08-15T10:18:36Z
dc.date.available2018-08-15T10:18:36Z
dc.date.issued2017-08
dc.descriptionCITATION: Nkonki , L., Chola, L., Tugendhaft, A. & Hofman, K. 2017. Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST). BMJ Open, 7(8):e011425. doi:10.1136/bmjopen-2016-011425.en_ZA
dc.descriptionThe original publication is available at https://bmjopen.bmj.com/en_ZA
dc.description.abstractObjective: To estimate the costs and impact on reducing child mortality of scaling up interventions that can be delivered by community health workers at community level from a provider’s perspective. Setting: In this study, we used the Lives Saved Tool (LiST), a module in the spectrum software. Within the spectrum software, LiST interacts with other modules, the AIDS Impact Module, Family Planning Module and Demography Projections Module (Dem Proj), to model the impact of more than 60 interventions that affect cause-specific mortality. Participants: DemProj Based on National South African Data. Interventions: A total of nine interventions namely, breastfeeding promotion, complementary feeding, vitamin supplementation, hand washing with soap, hygienic disposal of children’s stools, oral rehydration solution, oral antibiotics for the treatment of pneumonia, therapeutic feeding for wasting and treatment for moderate malnutrition. Primary and secondary outcome measures: Reducing child mortality. Results: A total of 9 interventions can prevent 8891 deaths by 2030. Hand washing with soap (21%) accounts for the highest number of deaths prevented, followed by therapeutic feeding (19%) and oral rehydration therapy (16%). The top 5 interventions account for 77% of all deaths prevented. At scale, an estimated cost of US$169.5 million (US$3 per capita) per year will be required in community health worker costs. Conclusion: The use of community health workers offers enormous opportunities for saving lives. These programmes require appropriate financial investments. Findings from this study show what can be achieved if concerted effort is channelled towards the identified set of life-saving interventions.en_ZA
dc.description.versionpublishers versionen_ZA
dc.format.extent8 pages ; illustrations
dc.identifier.citationNkonki , L., Chola, L., Tugendhaft, A. & Hofman, K. 2017. Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST). BMJ Open, 7(8):e011425. doi:10.1136/bmjopen-2016-011425.en_ZA
dc.identifier.issn2044-6055 (online)
dc.identifier.otherdoi:10.1136/bmjopen-2016-011425
dc.identifier.urihttp://hdl.handle.net/10019.1/104268
dc.language.isoen_ZAen_ZA
dc.publisherBMJ Publishing Groupen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectPreschool children -- Mortality -- South Africaen_ZA
dc.subjectLives Saved Tool (LiST)en_ZA
dc.subjectPreschool children -- Mortality -- Mathematical models -- Developing countriesen_ZA
dc.subjectCommunity health aides -- South Africaen_ZA
dc.titleModelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST)en_ZA
dc.typeArticleen_ZA
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