Measuring the quality of care in small countries: the empirical analysis of 30-day mortality following acute myocardial infarction and ischaemic stroke in Latvia

The evaluation of quality of care is a complex task that, over the last decades, has been performed using the Donabedian model as its main conceptual framework. Small countries are an ideal setting in which to make innovative, empirical evaluations of the quality of care. In this research, we discussed the challenges and opportunities of assessing hospital performance in Latvia, a small country in the Baltic region of Northern Europe. The study outcomes were 30-day acute myocardial infarction mortality and 30-day ischaemic stroke mortality. We described how indicator specifications, risk-adjustment, data reliability assessment and graphical representations were tailored to the geographic and institutional context of Latvia. By looking at the impact of structural characteristics on hospital performance, we found that cath labs and large caseloads were significantly associated with lower mortality. This approach allows decision-makers at different governance levels to design and implement actions aimed at improving the quality of care. At the health system level, it may help policy-makers adopt proper strategies to tackle poor outcomes; at the hospital level, it may help managers intervene on structural determinants of performance. Because small countries face some relevant issues that have implications for health care, these analyses might be relevant also for larger countries to improve the design of their health-care services.