Identification of users using cluster analysis according to degree of satisfaction with geriatric care services

Abstract

The aim of this study was to identify groups of users according to their degree of satisfaction with geriatric care services and determine the primary factors associated with satisfaction. This was a cross-sectional study of 181 people enrolled in 36 modules pertaining to the State Workers Social Security Institute (ISSSTE) in Mexico. Degree of satisfaction was measured according to the following three areas: general characteristics of services offered, friendliness of staff and infrastructure. A cluster analysis was performed to identify groups of users according to their level of satisfaction, and an ordinal logistic regression model was used to determine the associated factors. Fifty-three percent were satisfied with the services, 34.3% were fairly satisfied and 12.7% were dissatisfied. The main characteristics associated with a greater degree of satisfaction were being female, older and the head of household. The health system must address this growing population and ensure the development of quality care to meet their needs.