Social Insurance Literacy Among the Sick-listed—A Study of Clients’ Comprehension and Self-Rated System Comprehensibility of the Sickness Insurance System

Abstract

Abstract Introduction Sickness insurance systems and their processes have been studied in terms of transparency, comprehensibility and fairness, highlighting the importance of just procedures that make sense to clients. Related research demonstrates differences between groups of clients, pointing towards a social gradient. The concept of social insurance literacy and the Social Insurance Literacy Questionnaire (SILQ) was recently developed and serves as a measure for client’s ability to obtain, understand and act on information in a sickness insurance system, relating to the comprehensibility of the information that the system provides. Objective The purpose of this study was to investigate social insurance literacy among clients on sick leave and its associations with perceived justice, being granted sickness benefits and background factors. Methods This was a questionnaire study with clients on sick leave in Sweden. In the selection process 3993 clients were invited, of which 1173 recently had their sickness benefits withdrawn. Those who answered the SILQ (n = 1152) also answered a perceived justice measure and accepted sharing register data from the Swedish Social Insurance Agency. Data were analyzed through regression analysis. Results The findings demonstrate that clients’ perceptions of system comprehensibility and the status of their sick leave case was significantly associated with perceived justice, and being granted sickness benefits, while their individual abilities to obtain, understand, and act on information had lesser influence. Conclusions The system’s ability to provide understandable information seems more important than clients’ abilities to comprehend it. From a client perspective, a just system seems to be related to their experiences of the sick leave process (i,e., whether they had an ongoing or closed case) rather than their skills to obtain the correct information.