Waiting times in healthcare: equal treatment for equal need?

BACKGROUND: In many universal health systems, waiting times act as a non-monetary rationing mechanism, one that should be based on clinical need rather than the ability to pay. However, there is growing evidence that among patients with similar levels of need, waiting times often differ according to socioeconomic status. The mechanisms underlying inequality in access remain unclear. METHODS: Using data for Spain, we study whether waiting times for primary and specialist care depend on patients' socioeconomic status (SES). Additionally, we make use of the continuous nature of our data to explore whether the SES-related differences in waiting times found for specialist consultations vary among different points of the waiting time distribution. RESULTS: Our results reveal the presence of a SES gradient in waiting times for specialist services explained on the basis of education, employment status and income. In addition, for primary care, we found evidence of a slightly more moderate SES gradient mostly based on employment status. Furthermore, although quantile regression estimates indicated the presence of a SES gradient within the distribution of waiting times for specialist visits, the SES differences attenuated in the context of longer waiting times in the public sector but did not disappear. CONCLUSION: Our findings suggest the principle of equal treatment for equal need, assumed to be inherent to national health systems such as the Spanish system, is not applied in practice. Determining the mechanism(s) underlying this selective barrier to healthcare is of crucial importance for policymakers, especially in the current COVID-19 health and economic crises, which could exacerbate these inequalities as increasing numbers of treatments are having to be postponed.

How do policy levers shape the quality of a national health system?

Poor quality of care may have a detrimental effect on access and take-up and can become a serious barrier to the universality of health services. This consideration is of particular interest in view of the fact that health systems in many countries must address a growing public-sector deficit and respond to increasing pressures due to COVID-19 and aging population, among other factors. In line with a rapidly emerging literature, we focus on patient satisfaction as a proxy for quality of health care. Drawing on rich longitudinal and cross-sectional data for Spain and multilevel estimation techniques, we show that in addition to individual level differences, policy levers (such as public health spending and the patient-doctor ratio, in particular) exert a considerable influence on the quality of a health care system. Our results suggest that policymakers seeking to enhance the quality of care should be cautious when compromising the level of health resources, and in particular, health personnel, as a response to economic downturns in a sector that traditionally had insufficient human resources in many countries, which have become even more evident in the light of the current health crisis. Additionally, we provide evidence that the increasing reliance on the private health sector may be indicative of inefficiencies in the public system and/or the existence of features of private insurance which are deemed important by patients.