Payment Models, Cost Transparency And Performance Measurement Of Healthcare Providers: International Benchmarking And An Adaptation Framework For Uzbekistan

Background: how providers are paid determines what they measure about their own efficiency. Objective: to compare payment models, cost-data infrastructure, performance-measurement tools and composite indices in seven countries and to derive a framework for adapting them to Uzbekistan. Methods: comparative case analysis of Germany, the United Kingdom, the United States, Japan, the Republic of Korea, Kazakhstan and Russia, supplemented by public–private partnership (PPP) experience of the United Kingdom and Turkey, using 2023 financing and resource indicators. Results: Uzbekistan has 4.89 hospital beds and 11.08 nurses per 1,000 population (OECD average: 4.20 beds), yet spends only PPP USD 749 per capita, of which 35.4% is public and 64.1% out-of-pocket. Four common principles were identified: standardised service units, mandatory and open cost data, a small outcome-linked share of payment (1–2%), and uniform rules irrespective of ownership. Tools implementable within existing statistics (unit cost, cost recovery ratio, DEA benchmarking, equity indices) were separated from those requiring new data infrastructure (DRG payment, payment for outcomes). Conclusion: for resource-rich but cash-poor systems, efficiency measurement should precede and prepare payment reform.

Authors

Institutions

Publication Details

Journal
Academic Journal of Digital Economics and Stability
Published
2026-10-26
DOI
https://doi.org/10.51699/economics.v39i4.1870
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Payment Models, Cost Transparency And Performance Measurement Of Healthcare Providers: International Benchmarking And An Adaptation Framework For Uzbekistan

Bekzod Alisherovich Yo'ldoshev, Bekzod Alisherovich Yuldoshev
Academic Journal of Digital Economics and Stability
Healthcare Systems and Reforms
article

Payment Models, Cost Transparency And Performance Measurement Of Healthcare Providers: International Benchmarking And An Adaptation Framework For Uzbekistan

Bekzod Alisherovich Yo'ldoshev, Bekzod Alisherovich Yuldoshev
article en

Abstract

Background: how providers are paid determines what they measure about their own efficiency. Objective: to compare payment models, cost-data infrastructure, performance-measurement tools and composite indices in seven countries and to derive a framework for adapting them to Uzbekistan. Methods: comparative case analysis of Germany, the United Kingdom, the United States, Japan, the Republic of Korea, Kazakhstan and Russia, supplemented by public–private partnership (PPP) experience of the United Kingdom and Turkey, using 2023 financing and resource indicators. Results: Uzbekistan has 4.89 hospital beds and 11.08 nurses per 1,000 population (OECD average: 4.20 beds), yet spends only PPP USD 749 per capita, of which 35.4% is public and 64.1% out-of-pocket. Four common principles were identified: standardised service units, mandatory and open cost data, a small outcome-linked share of payment (1–2%), and uniform rules irrespective of ownership. Tools implementable within existing statistics (unit cost, cost recovery ratio, DEA benchmarking, equity indices) were separated from those requiring new data infrastructure (DRG payment, payment for outcomes). Conclusion: for resource-rich but cash-poor systems, efficiency measurement should precede and prepare payment reform.

Academic Journal of Digital Economics and Stability
Samarkand State Medical Institute (UZ)
Openalex Percentile: Top 8%
Healthcare Systems and Reforms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon