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Executive summary<br />

Background<br />

Executive summary<br />

The burden of maternal and infant deaths falls disproportionately on low income<br />

countries (LICs) and lower middle income countries (LMCs 1 ) and among the poorest<br />

within these countries. The causes of maternal and infant mortality and morbidity<br />

are well established, yet knowledge on effective management of conditions has not<br />

been translated into significantly improved outcomes because of a lack of<br />

resources and effective models of service delivery. Urban populations are often<br />

assumed to have better access to health care than those living in rural areas.<br />

However, urban health systems in many LICs and LMCs have a weak to non-existent<br />

public health structure and lack uni<strong>for</strong>m implementation of strategies and<br />

necessary infrastructures. Given rapid urbanisation in many LICs and LMCs it is now<br />

crucial to establish evidence-based approaches to improving access to and uptake<br />

of maternal and infant care models in urban areas and improving quality of services<br />

in order to improve maternal and child outcomes. Whilst the medical solutions <strong>for</strong><br />

preventing maternal and infant mortality are known, delivering these solutions is a<br />

considerable challenge in proximity to urban slums.<br />

Objectives<br />

This systematic review addresses the question:<br />

Methods<br />

What are the effects of different models of delivery <strong>for</strong> improving<br />

maternal and infant health outcomes <strong>for</strong> poor people in urban areas in low<br />

income and lower middle income countries?’<br />

Our systematic review focused on explicit evaluations of interventions aimed at<br />

improving health outcomes <strong>for</strong> poor people in urban areas. The review focused on<br />

maternal, infant, neonatal, perinatal and post-neonatal mortality outcomes, but<br />

also included maternal and infant health outcomes. Our review team, including<br />

in<strong>for</strong>mation scientists and in<strong>for</strong>mation retrieval experts, developed a search<br />

protocol and search terms that were subject to external peer review. Our search<br />

includes major databases that cover literature on this topic; these cover both<br />

English and non-English language material, including specialist health and<br />

development databases, as well as those focusing on specific geographical areas. A<br />

comprehensive search was conducted of published and unpublished materials. The<br />

search followed the study protocol, which set out the search strategy and selection<br />

methods. The study used multiple approaches to data analysis (including:<br />

narrative; cost-effectiveness; understanding links between the cause, approaches,<br />

outcomes and sustainability of change as part of a causal chain analysis) to assess<br />

not only which interventions are effective (or not), but how and under what<br />

circumstances. Quantitative and qualitative data were collected from and coded<br />

<strong>for</strong> included items, and each item was coded <strong>for</strong> a range of variables. Interventions<br />

were grouped into clinical and non-clinical categories. We collected qualitative<br />

evidence on contextual factors and causal pathways that may help to explain why<br />

interventions were (in)effective.<br />

1 We used the World Bank classification: http://data.worldbank.org/about/country-classifications<br />

(accessed 10 March 2011).<br />

What are the effects of different models of delivery <strong>for</strong> improving maternal and infant<br />

health outcomes <strong>for</strong> poor people in urban areas in low income and lower middle income<br />

countries? 1

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