ReviewBMJ global health2019
Modelling hospital operations: insight from using data from paper registries in the obstetrics ward at a hospital in Addis Ababa, Ethiopia.
Review in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the Ethiopian health system, operations management techniques have been underutilised. Although previous research has outlined limitations of paper-based patient records, few studies have examined their potential utility for improving management of hospital operations. In this paper, we used data collected from paper registries in an Ethiopian obstetrics ward at Addis Ababa's Tikur Anbessa Specialized Hospital, Ethiopia's largest university hospital, to model the ward's operations. First, we attempted to identify predictors of lengthy stays and readmissions among women giving birth: few predictors were deemed significant. Second, time series methods for demand forecasting were applied to the data and evaluated with several error metrics, and these forecasts were improvements over baseline methods. We conclude with recommendations on how the obstetrics ward could incorporate our modelling approaches into their daily operations.
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