An investigation on patient satisfaction at community pharmacies: Analyzing questionnaire survey by structural equation modeling and multiple regression analysis

Abstract

Separation of the dispensing function and the prescribing function, Iyaku Bungyo, has been progressing in Japan. We are now witnessing the advent of a new society where patients select pharmacists and their satisfaction is recognized as one of the healthcare outcome indicators. It is necessary to clarify which factors affect patients' satisfaction with the services provided at community pharmacies and how they do so. A survey was conducted among 104 community pharmacies and their patients around the Tokyo metropolitan area in Japan. The questionnaire comprised 11 items (observed variables), each with five-grade scale. With the transformed data-oriented pharmacy, the percentage of being not unsatisfactory was examined in two multivariate analyses of the relation and structure of patient satisfaction with a community pharmacy. Structural equation modeling (SEM) with factor analysis (FA) was performed using the observed variables and latent factors. Multiple regression analysis was performed with comprehensive satisfaction as an independent variable, examining the factors that affect comprehensive satisfaction with the pharmacy. The result of the FA indicated three latent factors of instruction on the use of drugs, quality of staff, and environment, based on which SEM model was constructed with a relatively high goodness of fit index. The result of multiple regression analyses indicated almost all variables such as satisfaction with reception by the pharmacist affected the comprehensive satisfaction, but privacy did not show a significant effect. These results, notably the relationship between each variables and latent factors, suggested the importance of higher skills of pharmacists, service qualities at pharmacies, and their functions adjusted to the community. © 2007 The Pharmaceutical Society of Japan.