ArticleRevista espanola de salud publica2016
[Assessment of Three Risk Adjustment Systems as Predictors of the Consumption of Medicines and Medical Supplies at Polyvalent Hospitalization Units. Spain].
Article in Revista espanola de salud publica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Nursing Process Data for Health Care Cost Prediction Using Machine Learning: Longitudinal Study.JMIR nursing · 2026Observational
- Healthcare Costs of Hospitalizations Due to Aspergillosis and 25-Year Trends in Spain, 1997-2021.Journal of fungi (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe use of medicines and medical supplies is a significant component of health expenditure, linked to healthcare quality and efficient resource allocation. This study aimed to evaluate three risk adjustment systems predictive power of the consumption of medicines and medical supplies at polyvalent hospitalization units (PHU).
methodsThis is an observational, retrospective study of the resources utilization in PHU between 2010 and 2013. We fitted linear regression models and evaluated their goodness of fit for three different predictors: Charlson Comorbidity Index (CCI), All Patients DRG (AP-DRG) and All Patients Refined DRG (APR-DRG) relative weights, and each one of them corrected by the length of stay. We analyzed hospitalization episodes included in the Minimum Basic Data Set (MBDS) from Fuenlabrada University Hospital. Data about the use of medicines and medical supplies were obtained from pharmacy and supply chain management information systems.
resultsSignificant correlation was found between the annual consumption and the predictors considered (r=0,879 for CCI; r=0,622 for AP-DRG and r=0,514 for APR-DRG). The CCI corrected by length of stay was the variable that best fit presented (Ṝ2=0,863).
conclusionsThe best predictive ability of CCI indicates that resource utilization depends more of the concurrent presence of additional pathology than the case mix calculated for iso-resource groups.
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Identifiers
27665762PMC11587318What OpenQuestion holds
Registered trials
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