Cargando…

Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings

OBJECTIVES: This 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 METHODS: The original AEP was modified to develop a customised tool, which inclu...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Feng, Doroshenko, Olena, Lekhan, Valery N, Kriachkova, Lilia V, Goroshko, Alona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924815/
https://www.ncbi.nlm.nih.gov/pubmed/31818835
http://dx.doi.org/10.1136/bmjopen-2019-030081
_version_ 1783481795644227584
author Zhao, Feng
Doroshenko, Olena
Lekhan, Valery N
Kriachkova, Lilia V
Goroshko, Alona
author_facet Zhao, Feng
Doroshenko, Olena
Lekhan, Valery N
Kriachkova, Lilia V
Goroshko, Alona
author_sort Zhao, Feng
collection PubMed
description OBJECTIVES: This 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 METHODS: The 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. RESULT: We 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 (р<0.001) for analysis of the appropriateness of admissions; 95.3 sensitivity, 84.7 specificity and AUC=0.900 (р=0.001) for the duration of hospitalisations. Cohen's kappa coefficient (κ) 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. CONCLUSION: The 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.
format Online
Article
Text
id pubmed-6924815
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-69248152020-01-02 Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings Zhao, Feng Doroshenko, Olena Lekhan, Valery N Kriachkova, Lilia V Goroshko, Alona BMJ Open Health Services Research OBJECTIVES: This 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 METHODS: The 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. RESULT: We 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 (р<0.001) for analysis of the appropriateness of admissions; 95.3 sensitivity, 84.7 specificity and AUC=0.900 (р=0.001) for the duration of hospitalisations. Cohen's kappa coefficient (κ) 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. CONCLUSION: The 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. BMJ Publishing Group 2019-12-08 /pmc/articles/PMC6924815/ /pubmed/31818835 http://dx.doi.org/10.1136/bmjopen-2019-030081 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Services Research
Zhao, Feng
Doroshenko, Olena
Lekhan, Valery N
Kriachkova, Lilia V
Goroshko, Alona
Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title_full Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title_fullStr Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title_full_unstemmed Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title_short Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings
title_sort assessment of appropriateness of hospitalisations in ukraine: analytical framework, method and findings
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924815/
https://www.ncbi.nlm.nih.gov/pubmed/31818835
http://dx.doi.org/10.1136/bmjopen-2019-030081
work_keys_str_mv AT zhaofeng assessmentofappropriatenessofhospitalisationsinukraineanalyticalframeworkmethodandfindings
AT doroshenkoolena assessmentofappropriatenessofhospitalisationsinukraineanalyticalframeworkmethodandfindings
AT lekhanvaleryn assessmentofappropriatenessofhospitalisationsinukraineanalyticalframeworkmethodandfindings
AT kriachkovaliliav assessmentofappropriatenessofhospitalisationsinukraineanalyticalframeworkmethodandfindings
AT goroshkoalona assessmentofappropriatenessofhospitalisationsinukraineanalyticalframeworkmethodandfindings