Evidence map›Paper›PMID 26786979›Full record

ArticleBMC public health2016

Strategic planning for saving the lives of mothers, newborns and children and preventing stillbirths in KwaZulu-Natal province South Africa: modelling using the Lives Saved Tool (LiST).

Shelley-Ann McGee, Lumbwe Chola, Aviva Tugendhaft, Victoria Mubaiwa, Neil Moran, Neil McKerrow, Leonard Kamugisha, Karen Hofman

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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  7. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Shelley-Ann McGeePriority Cost-Effective Lessons for System Strengthening South Africa (PRICELESS SA), Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Wits School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Wits Education Campus, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa.
Lumbwe CholaPriority Cost-Effective Lessons for System Strengthening South Africa (PRICELESS SA), Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Wits School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Wits Education Campus, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa.
Aviva TugendhaftPriority Cost-Effective Lessons for System Strengthening South Africa (PRICELESS SA), Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Wits School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Wits Education Campus, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa.
Victoria MubaiwaDepartment of Health, Province of KwaZulu-Natal, Pietermaritzburg, South Africa.
Neil MoranDepartment of Health, Province of KwaZulu-Natal, Pietermaritzburg, South Africa.
Neil McKerrowDepartment of Health, Province of KwaZulu-Natal, Pietermaritzburg, South Africa.
Leonard KamugishaUnited Nations Population Fund (UNFPA), Pretoria, South Africa.
Karen HofmanPriority Cost-Effective Lessons for System Strengthening South Africa (PRICELESS SA), Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Wits School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Wits Education Campus, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa. karen.hofman@wits.ac.za.
Agincourt Health and Socio-Demographic Surveillance System · ZAUniversity of KwaZulu-Natal · ZAUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKwaZulu-Natal province in South Africa has the largest population of children under the age of five and experiences the highest number of child births per annum in the country. Its population has also been ravaged by the dual epidemics of HIV and TB and it has struggled to meet targets for maternal and child mortality. In South Africa's federal system, provinces have decision-making power on the prioritization and allocation of resources within their jurisdiction. As part of strategic planning for 2015-2019, KwaZulu-Natal provincial authorities requested an assessment of current mortality levels in the province and identification and costing of priority interventions for saving additional maternal, newborn and child lives, as well as preventing stillbirths in the province.

methodsThe Lives Saved Tool (LiST) was used to determine the set of interventions, which could save the most additional maternal and child lives and prevent stillbirths from 2015-2019, and the costs of these. The impact of family planning was assessed using two scenarios by increasing baseline coverage of modern contraception by 0.5 percentage points or 1 percentage point per annum.

resultsA total of 7,043 additional child and 297 additional maternal lives could be saved, and 2,000 stillbirths could be prevented over five years. Seventeen interventions account for 75% of additional lives saved. Increasing family planning contributes to a further reduction of up to 137 maternal and 3,168 child deaths. The set of priority interventions scaled up to achievable levels, with no increase in contraception would require an additional US$91 million over five years or US$1.72 per capita population per year. By increasing contraceptive prevalence by one percentage point per year, overall costs to scale up to achievable coverage package, decrease by US$24 million over five years.

conclusionFocused attention on a set of key interventions could have a significant impact on averting stillbirths and maternal and neonatal mortality in KwaZulu-Natal. Concerted effort to prioritize family planning will save more lives overall and has the potential to decrease costs in other areas of maternal and child care.

Indexed as

AdultChildChild MortalityChild, PreschoolFamily Planning ServicesFemaleHealth Care RationingHealth PrioritiesHumansInfantInfant MortalityInfant, NewbornMaleMaternal-Child Health ServicesMaternal MortalityMothers

Identifiers

PMID26786979
PMCPMC4719569
OpenAlexW2279545894

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.