Social Health Insurance (SHI) is one of the vehicles in achieving Universal Health Coverage. However, in many low- and middle-income countries, implementation of SHI failed to provide efficient and effective coverage due to poor provider payment method. Indonesia has introduced social health insurance in 2014. With the population of more than 270 million, Indonesia is the biggest country in the world that implemented SHI with casemix system (INA-CBG) as the prospective provider payment method. In this book, we presented an outcome of a study implemented in the largest hospital in Jakarta, Indonesia that compared the impact of using casemix system as provider payment method with fee-for-service. A total 32,227 outpatients and 8,270 inpatients medical records were reviewed and included in the study. In addition, a survey was also conducted among billing administrators to assess the cost of the billing process and their perceptions on the two reimbursement methods. The total hospital charges, length of stay of inpatients, rate of unnecessary admissions and cost of billing process were among the indicators of efficiency compared in the study between the two provider payment methods. The book provides comprehensive evidence to confirm the advantages of casemix system as an efficient provider payment method in SHI programme.

The report focuses on a review of the implementation experience of case-based and DRG mechanisms in the Asia and Pacific region, drawing particularly on research in Australia, Japan, New Zealand, the Republic of Korea, Singapore and Thailand.

This book examines how nine different health systems--U.S. Medicare, Australia, Thailand, Kyrgyz Republic, Germany, Estonia, Croatia, China (Beijing) and the Russian Federation--have transitioned to using case-based payments, and especially diagnosis-related groups (DRGs), as part of their provider payment mix for hospital care. It sheds light on why particular technical design choices were made, what enabling investments were pertinent, and what broader political and institutional issues needed to be considered. The strategies used to phase in DRG payment receive special attention. These nine systems have been selected because they represent a variety of different approaches and experiences in DRG transition. They include the innovators who pioneered DRG payment systems (namely the United States and Australia), mature systems (such as Thailand, Germany, and Estonia), and countries where DRG payments were only introduced within the past decade (such as the Russian Federation and China). Each system is examined in detail as a separate case study, with a synthesis distilling the cross-cutting lessons learned. This book should be helpful to those working on health systems that are considering introducing, or are in the early stages of introducing, DRG-based payments into their provider payment mix. It will enhance the reader's understanding of how other countries (or systems) have made that transition, give a sense of the decisions that lie ahead, and offer options that can be considered. It will also be useful to those working in health systems that already include DRG payments in the payment mix but have not yet achieved the anticipated results.

Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data. The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services. Presents and discusses evidences from real-world case studies from multiple countries Provides detailed insights of health system complexity in order to improve decision- making Demonstrates the link between nursing data and its use for efficient and effective healthcare service management Discusses several limitations currently experienced and their impact on health service delivery

Diagnosis Related Group (DRG) systems were introduced in Europe to increase the transparency of services provided by hospitals and to incentivise greater efficiency in the use of resources invested in acute hospitals. In many countries, these systems were also designed to contribute to improving – or at least protecting – the quality of care. After more than a decade of experience with using DRGs in Europe, this book considers whether the extensive use of DRGs has contributed towards achieving these objectives. Written by authors with extensive experience of these systems, this book is a product of the EuroDRG project and constitutes an important resource for health policy-makers and researchers from Europe and beyond. The book is intended to contribute to the emergence of a ‘common language’ that will facilitate communication between researchers and policy-makers interested in improving the functioning and resourcing of the acute hospital sector. The book includes: A clearly structured introduction to the main ‘building blocks’ of DRG systems An overview of key issues related to DRGs including their impact on efficiency, quality, unintended effects and technological innovation in health care 12 country chapters - Austria, England, Estonia, Finland, France, Germany, Ireland, the Netherlands, Poland, Portugal, Spain and Sweden Clearly structured and detailed information about the most important DRG system characteristics in each of these countries Useful insights for countries and regions in Europe and beyond interested in introducing, extending and/ or optimising DRG systems within the hospital sector

The Government of Aceh Province in Indonesia has established the Social Health Insurance (SHI) called Jaminan Kesehatan Aceh (JKA) in 2006 that provide health coverage to all 4.6 million population of the province. Fee-for-service was initially used as the provider payment method in the programme until 2013. In 2014, in line with the National Health Insurance of Indonesia (Jaminan Kesehatan Nasional JKN), INA-CBG (Indonesia Case-Based Group) casemix system was adopted by JKA to replace the Fee-for-Service method. This book presents outcome of the evaluation done using a combination of qualitative and quantitative methods on the implementation of JKA programme. The quantitative study was conducted to assess income of three selected hospitals (Type B, C and D) reimbursed using INA-CBG groups covering more than 17,000 cases. Quantitative data analysis revealed that overall, the hospitals received 32.4% higher income when reimbursed with casemix system (INA-CBG) as compared to fee-for-service. Type D hospital is the biggest gainer with 81.0% increase in income. In conclusion, the use of Casemix (INA-CBG) as a prospective payment method has benefitted the hospitals a lot. It is hope that additional resources gained through this programme will allow the hospitals to provide optimum care to the population.

This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.