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Full Report - Research for Development - Department for ...

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5. Strengths and limitations<br />

Summary<br />

Limitations include:<br />

Bias towards English language literature<br />

Bias against modelling-based economic evaluations<br />

Strengths and limitations<br />

Restriction to maternal or infant mortality outcomes, excluding non-mortality<br />

health outcomes <strong>for</strong> mothers and infants<br />

Problems in identifying ‘poor’ populations and reliance on the use of proxies <strong>for</strong><br />

‘poor’<br />

5.1 Search strategy<br />

There are a number of limitations in our review. One key issue is a bias towards<br />

English language literature. By restricting our search strategy to largely English<br />

language databases, we may have missed relevant studies in other languages, this<br />

is despite the fact that some databases do provide English language abstracts <strong>for</strong><br />

non-English language papers. We have tried to mitigate against this by examining<br />

relevant papers in French, Spanish and Italian. Moreover, while we do not have the<br />

resources <strong>for</strong> additional translation, we have also sought to identify potentially<br />

relevant papers in other languages whose English language abstracts appear<br />

relevant.<br />

In developing and refining our search strategy, it became clear that it would be<br />

difficult to come up with a comprehensive set of terms to cover the many different<br />

definitions of poverty and urbanicity. We sought to counter this risk by not<br />

including any specific poverty or urbanicity terms in our search strategy, and<br />

instead sought to identify studies that looked at maternal and child health in our<br />

target countries and then to determine whether these studies did focus on our<br />

target population. Our study protocol indicated that we would make our initial<br />

decisions on inclusion/exclusion on the basis of study abstracts/summaries.<br />

However it had to be acknowledged that relevant papers might not provide<br />

sufficient detail on target population to judge whether a paper focused on urban,<br />

poor populations from the abstract alone. We tried to account <strong>for</strong> this by erring on<br />

the side of retrieval of full text papers where a study appeared relevant in all<br />

respects other than having an indication of geographical location or socio-economic<br />

status of the target population.<br />

Our primary search strategy may also not have been sensitive enough to pick up<br />

economic evaluations which were based on modelling rather than empirical<br />

studies; while we did search both Econlit and the NHS Economic Evaluation<br />

Database, a supplemental search of several key databases making use of key<br />

economic evaluation terms was conducted to see whether any additional studies<br />

could be identified, including the Office of Health Economics Health Economics<br />

Evaluation Database (HEED). Given the limited number of effectiveness studies that<br />

looked at interventions specifically <strong>for</strong> urban populations and reported maternal<br />

and/or infant mortality outcomes, this is not surprising.<br />

Another challenge has been the limited functionality of some databases, which in<br />

some cases have made it difficult to construct complex search strategies and/or to<br />

import records electronically into EndNote. In some cases, the lack of functionality<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? 53

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