Full Report - Research for Development - Department for ...
Full Report - Research for Development - Department for ...
Full Report - Research for Development - Department for ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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