Health system performance assessment in small countries: The case study of Latvia

Int J Health Plann Manage. 2019 Oct;34(4):1408-1422. doi: 10.1002/hpm.2803. Epub 2019 May 15.

Abstract

Managing the complexity that characterizes health systems requires sophisticated performance assessment information to support the decision-making processes of healthcare stakeholders at various levels. Accordingly, in the past few decades, many countries have designed and implemented health system performance assessment (HSPA) programmes. Literature and practice agree on the key features that performance measurement in health should have, namely, multidimensionality, evidence-based data collection, systematic benchmarking of results, shared design, transparent disclosure, and timeliness. Nevertheless, the specific characteristics of different countries may pose challenges in the implementation of such programmes. In the case of small countries, many of these challenges are common and related to their inherent characteristics, eg, small populations, small volumes of activity for certain treatments, and lack of benchmarks. Through the development of the case study of Latvia, this paper aims at discussing the challenges and opportunities for assessing health system performance in a small country. As a result, for each of the performance measurement features identified by the literature, the authors discuss the issues emerging when adopting them in Latvia and set out the potential solutions that have been designed during the development of the case study.

Keywords: benchmarking; evidence-based management; health system performance assessment; performance measurement; small countries.

MeSH terms

  • Benchmarking / methods
  • Benchmarking / organization & administration
  • Delivery of Health Care / organization & administration
  • Humans
  • Latvia
  • Length of Stay / statistics & numerical data
  • Models, Organizational
  • Quality Assurance, Health Care / methods*
  • Quality Assurance, Health Care / organization & administration
  • Quality Indicators, Health Care
  • Quality of Health Care / statistics & numerical data