Satisfaction of patients presenting to health insurance offices: using data mining method

Background: The quality of healthcare services can be determined by patient satisfaction as it affects the performance, sustainability, and durability of health services. The aim of this study was to analyze the satisfaction of patients presenting to health insurance offices by using the data minin...

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Main Authors: Ebrahim Mokhtari, Masoud Pourkiani, Saeed Sayadi, Zahra Shokoh, Mahdi Mohammad Bagheri
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2023-07-01
Series:Social Determinants of Health
Subjects:
Online Access:https://journals.sbmu.ac.ir/sdh/article/view/41494
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author Ebrahim Mokhtari
Masoud Pourkiani
Saeed Sayadi
Zahra Shokoh
Mahdi Mohammad Bagheri
author_facet Ebrahim Mokhtari
Masoud Pourkiani
Saeed Sayadi
Zahra Shokoh
Mahdi Mohammad Bagheri
author_sort Ebrahim Mokhtari
collection DOAJ
description Background: The quality of healthcare services can be determined by patient satisfaction as it affects the performance, sustainability, and durability of health services. The aim of this study was to analyze the satisfaction of patients presenting to health insurance offices by using the data mining method. Method: A cross-sectional study was conducted on those who referred to the offices of the Health Insurance Organization (e.g., Kerman, Sistan and Baluchestan, Hormozgan and Yazd provinces) who were selected by non-random cluster sampling. A researcher-made questionnaire consisting of 79 items was used for data collection. Face and content validity of 0.86% was obtained using the views of five academic experts. Cronbach's alpha coefficient of the questionnaire was 0.966. Data were analyzed by SPSS-18 software. Results: The studied variables regarding quality service indicators included speeding up the administration of affairs, non-discrimination between clients, empathy with clients, keeping clients' secrets, politeness and kindness, paying attention to the needs and wishes of clients. Access to information, raising awareness, payment of compensation, attention to the rights of the disabled, rule of law and clarification of matters and criticisms were in a favorable condition, and service quality is the only unfavorable indicator in health insurance offices. Conclusion: Governments are required to respect people's rights regardless of skin color, race, religion, gender, and in the present study, the satisfaction of clients with the performance of insurance service offices was evident.
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spelling doaj.art-55cb8200aaa84adea419e122b970d77b2023-07-12T15:52:39ZengShahid Beheshti University of Medical SciencesSocial Determinants of Health2423-73372023-07-019110.22037/sdh.v9i1.41494Satisfaction of patients presenting to health insurance offices: using data mining methodEbrahim Mokhtari 0Masoud Pourkiani1Saeed Sayadi 2Zahra Shokoh 3Mahdi Mohammad Bagheri4Ph.D student, Department of Management, Kerman Branch, Islamic Azad University, Kerman, IranAssistant Professor, Department of Management, Kerman Branch, Islamic Azad University, Kerman, IranAssistant Professor, Department of Management, Kerman Branch, Islamic Azad University, IranAssistant Professor, Department of Management, Kerman Branch, Islamic Azad University, Kerman, IranAssistant Professor, Department of Management, Kerman Branch, Islamic Azad University, Kerman, Iran Background: The quality of healthcare services can be determined by patient satisfaction as it affects the performance, sustainability, and durability of health services. The aim of this study was to analyze the satisfaction of patients presenting to health insurance offices by using the data mining method. Method: A cross-sectional study was conducted on those who referred to the offices of the Health Insurance Organization (e.g., Kerman, Sistan and Baluchestan, Hormozgan and Yazd provinces) who were selected by non-random cluster sampling. A researcher-made questionnaire consisting of 79 items was used for data collection. Face and content validity of 0.86% was obtained using the views of five academic experts. Cronbach's alpha coefficient of the questionnaire was 0.966. Data were analyzed by SPSS-18 software. Results: The studied variables regarding quality service indicators included speeding up the administration of affairs, non-discrimination between clients, empathy with clients, keeping clients' secrets, politeness and kindness, paying attention to the needs and wishes of clients. Access to information, raising awareness, payment of compensation, attention to the rights of the disabled, rule of law and clarification of matters and criticisms were in a favorable condition, and service quality is the only unfavorable indicator in health insurance offices. Conclusion: Governments are required to respect people's rights regardless of skin color, race, religion, gender, and in the present study, the satisfaction of clients with the performance of insurance service offices was evident. https://journals.sbmu.ac.ir/sdh/article/view/41494Data MiningHealthInsurancePatient Satisfaction
spellingShingle Ebrahim Mokhtari
Masoud Pourkiani
Saeed Sayadi
Zahra Shokoh
Mahdi Mohammad Bagheri
Satisfaction of patients presenting to health insurance offices: using data mining method
Social Determinants of Health
Data Mining
Health
Insurance
Patient Satisfaction
title Satisfaction of patients presenting to health insurance offices: using data mining method
title_full Satisfaction of patients presenting to health insurance offices: using data mining method
title_fullStr Satisfaction of patients presenting to health insurance offices: using data mining method
title_full_unstemmed Satisfaction of patients presenting to health insurance offices: using data mining method
title_short Satisfaction of patients presenting to health insurance offices: using data mining method
title_sort satisfaction of patients presenting to health insurance offices using data mining method
topic Data Mining
Health
Insurance
Patient Satisfaction
url https://journals.sbmu.ac.ir/sdh/article/view/41494
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AT zahrashokoh satisfactionofpatientspresentingtohealthinsuranceofficesusingdataminingmethod
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