Cross-Country Analysis of Case-Mix in Selected Hospitals
This study presents a comparative analysis of inpatient care data from six countries (Ukraine, Moldova, Romania, Croatia, Estonia, and the Republic of Korea). It uses diagnosis related groups (DRGs) as a framework for benchmarking. The primary aim of the study is to propose methods for comparing hospital outputs across countries that use different systems for coding hospital activities. Additionally, this study seeks to identify best practices in coding and hospital performance indicators, which could be of interest to countries and hospitals included in this analysis and beyond. It compares hospital outputs from 2021 at both country and hospital levels, using indicators such as the frequency of cases within different adjacent DRGs (A-DRGs) and major diagnostic categories, length of stay, coding activities, and case complexity. It also employs country-level analysis to determine the cope of hospital-level data collection and analysis. The study draws upon data from 30 hospitals of different types across all six countries. Its findings provide insights and identify areas for further investigation that can orient and guide hospital reforms. Such reforms may aim at ensuring better quality and cost-effectiveness of care, as well as patient access to hospital services.
Main Authors: | , , , , |
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Format: | Report biblioteca |
Language: | English en_US |
Published: |
World Bank
2023-06-01
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Online Access: | http://documents.worldbank.org/curated/en/099062323130070722/P17032106049f70120b19106f1b97e97e56 https://openknowledge.worldbank.org/handle/10986/40434 |
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Summary: | This study presents a comparative
analysis of inpatient care data from six countries (Ukraine,
Moldova, Romania, Croatia, Estonia, and the Republic of
Korea). It uses diagnosis related groups (DRGs) as a
framework for benchmarking. The primary aim of the study is
to propose methods for comparing hospital outputs across
countries that use different systems for coding hospital
activities. Additionally, this study seeks to identify best
practices in coding and hospital performance indicators,
which could be of interest to countries and hospitals
included in this analysis and beyond. It compares hospital
outputs from 2021 at both country and hospital levels, using
indicators such as the frequency of cases within different
adjacent DRGs (A-DRGs) and major diagnostic categories,
length of stay, coding activities, and case complexity. It
also employs country-level analysis to determine the cope of
hospital-level data collection and analysis. The study draws
upon data from 30 hospitals of different types across all
six countries. Its findings provide insights and identify
areas for further investigation that can orient and guide
hospital reforms. Such reforms may aim at ensuring better
quality and cost-effectiveness of care, as well as patient
access to hospital services. |
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