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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Methodological Evaluation of District Hospitals Systems in Nigeria Using Quasi-Experimental Designs for Efficiency Gains

Authors: Adekanye, Abimbola; Ogunlana, Olayimi;

Methodological Evaluation of District Hospitals Systems in Nigeria Using Quasi-Experimental Designs for Efficiency Gains

Abstract

District hospitals in Nigeria face challenges in delivering efficient healthcare services. The study employed a meta-analysis approach to review existing literature and apply statistical methods for analysis. A significant proportion (35%) of hospitals showed improvement in service delivery when using the quasi-experimental design. Quasi-experimental designs can be effective tools for assessing efficiency gains in district hospital systems, with a focus on healthcare service improvements. Future research should continue to validate these findings and explore cost-effectiveness of interventions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

Keywords

meta-analysis, evaluation, Sub-Saharan, efficiency, randomized, qualitative, healthcare

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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