Enhancing evidence-based policy decisions for neonatal and child survival in the highest mortality countries
Submitting Institution
London School of Hygiene & Tropical MedicineUnit of Assessment
Public Health, Health Services and Primary CareSummary Impact Type
PoliticalResearch Subject Area(s)
Medical and Health Sciences: Public Health and Health Services
Summary of the impact
LSHTM research led to the development of a computer-based tool known as
the Lives Saved Tool (LiST), which has been made available to
international organisations, governments and NGOs free of charge. It
allows policy-makers and programme managers in the 75 countries with the
highest number of child deaths to identify which policy and programme
choices are likely to have the greatest impact in cutting neonatal and
child mortality. Since its 2008 launch, LiST has been used widely by
international agencies, foundations, bilateral agencies, large NGOs and
individual countries to determine investment priorities and programme
choices.
Underpinning research
Every year 7m children worldwide die before their fifth birthday, with
98% occurring in low- and middle-income countries, and 43% taking place
during the first 28 days of life. Reducing child mortality by two thirds
between 1990 and 2015 is one of the UN Millennium Development Goals.
Research conducted by Simon Cousens, Professor of Epidemiology and
Medical Statistics (LSHTM since 1985), has contributed important work
towards this goal through the development of the LiST. LSHTM research has
contributed in three main areas: developing methods to estimate
country-specific cause of death distributions; defining the structure of
the model underpinning LiST; and providing key inputs to the neonatal
component of LiST (estimates of neonatal deaths by cause and by country,
and estimates of the effectiveness of interventions to prevent neonatal
deaths).
Cousens is a member of the Child Health Epidemiology Reference Group
(CHERG), which provides independent technical expertise to WHO and UNICEF
on child morbidity and mortality estimates. Along with Joy Lawn, formerly
Director Global Evidence and Policy, Saving Newborn Lives, Save the
Children, and Professor of Maternal Reproductive and Child Health
Epidemiology at LSHTM since 2013, he developed a statistical model using a
multinomial modelling approach applied to vital registration data and
datasets identified from a review of the literature. This produced
national estimates of neonatal deaths by cause,3.1 an approach
now also used for post-neonatal child deaths.
These estimates were key inputs into the 2005 Lancet Neonatal
Survival series (co-led with Lawn). As part of the series, Cousens
developed a computer model, building on that developed previously for the
2003 Lancet Child Survival Series, using the estimates of neonatal
deaths by cause, to estimate the number of neonatal deaths that could be
prevented with different interventions.3.2 Subsequently Cousens
developed a cohort model for child mortality which formed part of the Lancet
Maternal and Child Undernutrition series and provided estimates of the
number of deaths and cases of stunting that could be averted by providing
nutrition.3.3 These models were the predecessors of LiST.
In 2008, the Bill and Melinda Gates Foundation provided funding through
the Johns Hopkins School of Public Health to enable the Futures Institute
to integrate the models mentioned above into Spectrum, a pre-existing
suite of policy models which provide policy-makers with `analytical tools
to support the decision-making process'. This process directly led to the
launch of LiST as a publicly available tool later that year.
A key input for LiST are estimates of the effectiveness of different
interventions in terms of the proportion of deaths due to specific causes
that an intervention can prevent. Cousens played a key role in setting the
standards for the literature reviews from which these effect estimates
were derived, and in establishing rules for deriving effect estimates.3.4
He and Hannah Blencowe, Research Fellow at LSHTM since 2010, also
contributed to or led many of the reviews of interventions to prevent
neonatal deaths that were coordinated by Lawn and published in a
supplement to the International Journal of Epidemiology in 2010.3.5,3.6
References to the research
3.1 Lawn, JE, Wilczynska-Ketende, K and Cousens SN (2006) Estimating the
causes of 4 million neonatal deaths in the year 2000, International
Journal of Epidemiology, 35(3): 706-718, doi:10.1093/ije/dyl043.
Citation count: 130
3.2 Darmstadt, GL, Bhutta, ZA, Cousens, S, Adam, T, Walker, N and de
Bernis, L (2005) Evidence-based, cost-effective interventions: how many
newborns can we save?, Lancet, 365(9463): 977-988, doi:
10.1016/S0140-6736(05)71088-6. Citation count: 426
3.3 Bhutta, ZA, Ahmed, T, Black, RE, Cousens, S, Dewey, K, Giugliani, E,
Haider, BA, Kirkwood, B, Morris, SS, Sachdev, HP and Shekar, M, for the
Maternal and Child Undernutrition Study Group (2008) What works?
Interventions for maternal and child undernutrition and survival, Lancet,
371(9610): 417-440, doi:10.1016/S0140-6736(07)61693-6. Citation count: 386
3.4 Walker, N, Fischer-Walker, C, Bryce, J, Bahl, R and Cousens, S,
writing for the CHERG Review Groups on Intervention Effects (2010)
Standards for CHERG reviews of intervention effects on child survival, International
Journal of Epidemiology, 39(Suppl. 1): i21-i31,
doi:10.1093/ije/dyq036. Citation count: 60
3.5 Cousens, S, Blencowe, H, Gravett, M and Lawn JE (2010) Antibiotics
for pre-term pre-labour rupture of membranes: prevention of neonatal
deaths due to complications of pre-term birth and infection, International
Journal of Epidemiology, 39(Suppl 1): i134-i143,
doi:10.1093/ije/dyq030. Citation count: 12
3.6 Blencowe, H, Lawn, J, Vandelaer, J, Roper, M and Cousens, S (2010)
`Tetanus toxoid immunization to reduce mortality from neonatal tetanus, International
Journal of Epidemiology, 39 (Suppl. 1): i102-i109,
doi:10.1093/ije/dyq027. Citation count: 24
Details of the impact
Since its launch in 2008 on the Futures Institute website,5.1
LiST has been adopted as a policy and decision-making tool by a wide range
of international agencies and organisations, governments, NGOs and others.5.2
The Global Action Plan for the Prevention and Control of Pneumonia
(GAPP), published by WHO and UNICEF in 2009, called for the increased use
of interventions of proven benefit and provided guidance on how this could
be done, using LiST to estimate the deaths due to pneumonia that could be
prevented by scaling-up different interventions.5.3
In November 2009, the science academies of seven sub-Saharan African
countries launched a seminal report, Science in Action: Saving the
Lives of Africa's Mothers, Newborns, and Children. A call to action
for African policy-makers, the report encouraged them to work with
scientists to make the most efficient changes to their health care
systems. The report makes extensive reference to LiST and its use in
preparing its findings.5.4
The Bill and Melinda Gates Foundation used LiST to underpin their
Impatient Optimist scheme (November 2009) and their Vaccine Delivery
Strategy (January 2010). Save the Children employed the tool in the
preparation of their Missing Midwives report (2011) to show that
1.3 million newborns annually could be saved using eight key
interventions.5.5
Born Too Soon: The Global Action Report on Preterm Birth, produced
in May 2012 by WHO, Save the Children, March of Dimes (an NGO that works
to improve the health of mothers and babies) and The Partnership for
Maternal, Neonatal and Child Health, with 50 partner organisations, used
LiST to identify priority packages and interventions for preterm babies.5.6
This initiative achieved wide media coverage, including reports in The
Guardian, Reuters and on the BBC in the UK, and in the New York
Times, USA Today and The Wall Street Journal in the USA. A
global relay on Twitter reached nearly 6.5 million users.
The UN Commission on Life Saving Commodities for Women and Children used
LiST in 2012 to estimate how many maternal and child lives could be saved
by different commodities.5.7
Other international users of LiST include the Pan-American Health
Organisation (PAHO), the GAVI Alliance, which exists to bring life-saving
vaccines to children in developing countries, and the Global Fund to Fight
AIDS, Tuberculosis and Malaria; bilateral agencies including DFID, USAID,
the Canadian International Development Agency (CIDA) and the Norwegian
Agency for Development Cooperation; as well as large NGOs and foundations
including PSI, World Vision, the Clinton Foundation, and the Children's
Investment Fund Foundation.
At national and regional level, LiST has been used in the following ways.
- The 2010 Evaluation of Malawi's Emergency Human Resources Programme
used LiST to analyse four indicators against which to measure increases
in utilisation in priority health services; as the report states, the
result was over 13,000 lives saved due to increased coverage of these
indicators.5.8
- Two editions of Nigeria's national government report, Saving
Newborn Lives in Nigeria (2009 and 2011) used LiST analyses.5.9
The second report was linked to the addition of a line in the national
health budget for newborn health care.
- Other individual countries that have used LiST to devise strategies to
save the lives of newborns have included Burkina Faso, Ethiopia, Uganda,
India (several states) and China.
-
The Lancet Stillbirth series used LiST in 2011 to estimate
stillbirths averted with various packages of care, and the linked
maternal and newborn lives saved.
In many of the examples mentioned, decisions based on LiST have
ultimately benefited newborns and children of families in low- and
middle-income countries by giving them increased access to life-saving
interventions.
Jeremy Shiffman, Associate Professor of Public Administration and Policy
at American University, examined the increased attention being paid to
newborn survival in his paper in The Lancet in 2010.5.10
He categorised this increase as `surprising: there was no sudden increase
in the number of babies dying or swift spread of a virus that alarmed
citizens of rich countries'. He concluded that The Lancet Neonatal
Survival series 2005, to which Cousens and colleagues had contributed
vital research, was important in solidifying links between key individuals
in the field and became `a point of reference on the severity, causes,
costing, and solutions to the problem of newborn mortality and had
substantial influence in agenda setting'.
Sources to corroborate the impact
5.1 Website of the Futures Institute with download facility for LiST,
http://www.futuresinstitute.org/spectrum.aspx.
5.2 Selected list of applications of LiST and articles referencing the
tool,
http://www.jhsph.edu/departments/international-health/IIP/list/applications.html.
5.3 WHO/UNICEF (2009) Global Action Plan for Prevention and Control
of Pneumonia (GAPP), WHO/FCH/CAH/NCH/09.04, WHO/UNICEF, http://www.unicef.org/media/files/GAPP3_web.pdf
(accessed 20 September 2013). Developed using LiST (see e.g. footnote to
Figure 3, p. 2 and footnote 2, p. 8).
5.4 Kinney, MV, Lawn, JE and Kerber, KJ (eds) (2009) Science in
Action: Saving the Lives of Africa's Mothers, Newborns, and Children,
report for the African Academy Science Development Initiative. Cape Town,
South Africa,
http://www.nationalacademies.org/asadi/2009_Conference/PDFs/ScienceInActionFullReport.pdf
(accessed 11 September 2013) (see e.g. p. 3 `Saving 4 million lives each
year').
5.5 Rawe, K, Williams, S, Kerber, K and Lawn, J (2011) Missing
Midwives. London: Save the Children, http://www.savethechildren.org.uk/sites/default/files/docs/Missing_Midwives_1.pdf
(accessed 11 September 2013) (see e.g. p. 3).
5.6 WHO, March of Dimes, The Partnership for Maternal, Newborn and Child
Health and Save the Children (2012) Born Too Soon: The Global Action
Report on Preterm Birth. Geneva: WHO,
http://www.who.int/pmnch/media/news/2012/preterm_birth_report/en/index1.html
(accessed 20 September 2013) (use of LiST, see e.g. Table 5.2, p. 65 and
p. 87).
5.7 UN (2012) UN Commission on Life-Saving Commodities for Women and
Children:
Commissioner's Report September 2012. New York: UN,
http://www.everywomaneverychild.org/images/UN_Commission_Report_September_2012_Final.pdf
(accessed 11 September 2013). Used LiST to estimate the potential of
different commodities to save maternal and child lives (see Annex, Page
19).
5.8 O'Neil, M, Jarrah, Z, Nkosi, L, Collins, D, Perry, C, Jackson, J,
Kuchande, H and Mlambala, A (2010) Evaluation of Malawi's Emergency
Human Resources Programme: EHRP Final Report.
Management Sciences for Health (MSH), Management Solutions Consulting
(MSC) Ltd., Department for International Development,
http://www.who.int/workforcealliance/media/news/2010/Malawi_MSH_MSC_EHRP_Final.pdf
(accessed 11 September 2013) (used LiST to estimate the lives saved by the
Emergency Human Resources Programme in Malawi — see e.g. p. 4).
5.9 Federal Ministry of Health (2011) Saving Newborn lives in
Nigeria: Newborn Health in the Context of the Integrated Maternal,
Newborn and Child Health Strategy, 2nd edn. Abuja: Federal Ministry
of Health, Save the Children & Jhpiego,
http://www.healthynewbornnetwork.org/sites/default/files/resources/Nigeria%20Sit%20An%20final
%20lowres_FINAL.pdf (accessed 11 September 2013) (the report used
LiST to estimate the lives that could be saved by increasing coverage of
key interventions — see p. 76).
5.10 Shiffman, J (2010) Issue attention in global health: the case of
newborn survival, Lancet, 375(9730): 2045-2049, doi:
10.1016/S0140-6736(10)60710-6. Article which discusses the importance of The
Lancet Neonatal Survival series.