1. Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
- Author
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Feng Zhao, Olena Doroshenko, Lilia V Kriachkova, Valery N Lekhan, and Alona Goroshko
- Subjects
unjustified inpatient stay ,medicine.medical_specialty ,Quality Assurance, Health Care ,hospital admissions ,Hospital Departments ,Health Services Misuse ,Sensitivity and Specificity ,Medical Records ,External validity ,03 medical and health sciences ,Patient Admission ,0302 clinical medicine ,Cohen's kappa ,Humans ,Medicine ,030212 general & internal medicine ,Duration (project management) ,reliability and validity of the method ,Reliability (statistics) ,Original Research ,Protocol (science) ,Receiver operating characteristic ,business.industry ,Medical record ,Reproducibility of Results ,General Medicine ,avoidable hospitalizations ,ROC Curve ,Emergency medicine ,Ukraine version appropriateness evaluation protocol (AEP) ,Health Services Research ,Ukraine ,business ,030217 neurology & neurosurgery ,Kappa - Abstract
ObjectivesThis article reviews the applicability of a customised version of the Appropriateness Evaluation Protocol (AEP) to evaluate the magnitude of inappropriate hospitalisations in two regions of Ukraine.Data and methodsThe original AEP was modified to develop a customised tool, which included criteria for the appropriateness of hospitalisation and duration of inpatient stay. The customisation of the tool followed the Delphi procedure. We randomly selected 381 medical records to test the feasibility and reliability of the method and 800 medical records to evaluate the scope of inappropriate hospitalisations. We used descriptive and analytical statistics, receiver operating characteristic curve analysis and Cohen's kappa to check the consistency between the findings of primary reviewers and experts.ResultWe observed high levels of agreement in conclusions of primary reviewers (reference standard) and experts during testing of the reliability and validity of the method. The external validity check showed that the use of the tool by different experts provided high accuracy: 95.1 sensitivity, 76.6 specificity and area under ROC-curve (AUC)=0.948 (рκ) indicated agreement in expert evaluations of 0.915 (95% СІ 0.799 to 1.000) and 0.812 (95% СІ 0.749 to 0.875), respectively.We found that over one-third of admissions (38.1%; 95% СІ 33.9 to 43.5) and over half of total bed-days were unnecessary (57.4%; 95% СІ 56.4 to 58.5). The highest levels of stay were observed in hospitals’ general medicine departments (64.6%; 95% СІ 63.0 to 66.3)compared with other departments included in the analysis.ConclusionThe proposed method is robust in assessing the appropriateness of hospitalisations and duration of inpatient stays. The quantified levels of unnecessary hospital care indicate the need for improving efficiency and quality of care and optimising the excessive hospital capacities in Ukraine.
- Published
- 2019
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