Background: The visit length is considered one of the indicators for assessing patients’ satisfaction. Factors such as waiting time for getting a visit affects the desirability of the visit. Objectives: This study aimed to investigate the visit length and waiting time of patients in public and private clinics in Tabriz. Methods: This is a descriptive-analytic study conducted in five clinics in 2018. A questionnaire-based survey was used to collect data from 386 participants recruited through simple random sampling. Mann-Whitney U and Kruskal-Wallis tests were applied to analyze the data using SPSS version 22.0. Results: Overall, the mean visit length was 25.5 and 25.4 min in public and private centers, respectively, while the mean waiting time was 141.2 and 156.4 min in public and private centers, respectively. There was no significant difference between public and private centers regarding the visit length (P > 0.05); however, there was a significant difference between public and private centers in terms of waiting time (P < 0.05). Conclusions: The waiting time was too much, especially in private clinics, which can negatively affect patient satisfaction. Therefore, suggested interventions may consist of using internet and telephone admission, scheduling a waiting list, and requiring physicians to be present on time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.