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Showing 2 results for Shahsavari
Seyed Hadi Hosseini, Saeed Shahsavari, Yasaman Poormoosa, Mitra Rahimzadeh,
Volume 19, Issue 2 (7-2025)
Volume 19, Issue 2 (7-2025)
Abstract
Background and Aim: Medical university-affiliated dental clinics, particularly those located in metropolitan areas, provide oral healthcare services to a wide range of patients with diverse demographic and socio-cultural backgrounds. The sustainability and continued effectiveness of these clinics largely depend on patients’ satisfaction and loyalty. Understanding the determinants of these two critical factors and exploring their interrelationship is essential for improving service delivery and enhancing patient retention. Therefore, the present study aimed to analyze patient satisfaction and loyalty in a university dental clinic using a structural equation modeling (SEM) approach.
Materials and Methods: This cross-sectional, descriptive-analytical study was conducted during 2023–2024 on a sample of 190 patients who visited the dental clinic of Alborz University of Medical Sciences. Participants were selected through convenience sampling. Data were collected using two standardized questionnaires: one assessing dental patient satisfaction and the other measuring patient loyalty. Structural equation modeling was employed using AMOS software, and model fit was evaluated using standard indices including the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA).
Results: The SEM analysis revealed a significant and positive relationship between patient satisfaction and loyalty (β=0.931, P<0.001). Among the dimensions of satisfaction, hygiene and physical conditions (β=0.939), responsiveness and service delivery (β=0.847), appointment scheduling and waiting time (β=0.761) had the most substantial impact on overall satisfaction (P<0.001). Additionally, attitudinal (β=0.996) and behavioral (β=0.859) components emerged as key dimensions of patient loyalty. Model fit indices demonstrated an acceptable level of fit with the data (CFI=0.893, RMSEA=0.077).
Conclusion: To enhance patient satisfaction and foster loyalty, university dental clinics should prioritize internal operational improvements, particularly in the areas of environmental hygiene, service responsiveness, and time management. Creating a positive mental impression through these factors can serve as a foundational step in cultivating long-term loyalty, ultimately contributing to the clinic’s credibility and sustainable performance within a competitive healthcare environment.
Materials and Methods: This cross-sectional, descriptive-analytical study was conducted during 2023–2024 on a sample of 190 patients who visited the dental clinic of Alborz University of Medical Sciences. Participants were selected through convenience sampling. Data were collected using two standardized questionnaires: one assessing dental patient satisfaction and the other measuring patient loyalty. Structural equation modeling was employed using AMOS software, and model fit was evaluated using standard indices including the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA).
Results: The SEM analysis revealed a significant and positive relationship between patient satisfaction and loyalty (β=0.931, P<0.001). Among the dimensions of satisfaction, hygiene and physical conditions (β=0.939), responsiveness and service delivery (β=0.847), appointment scheduling and waiting time (β=0.761) had the most substantial impact on overall satisfaction (P<0.001). Additionally, attitudinal (β=0.996) and behavioral (β=0.859) components emerged as key dimensions of patient loyalty. Model fit indices demonstrated an acceptable level of fit with the data (CFI=0.893, RMSEA=0.077).
Conclusion: To enhance patient satisfaction and foster loyalty, university dental clinics should prioritize internal operational improvements, particularly in the areas of environmental hygiene, service responsiveness, and time management. Creating a positive mental impression through these factors can serve as a foundational step in cultivating long-term loyalty, ultimately contributing to the clinic’s credibility and sustainable performance within a competitive healthcare environment.
Fatemeh Najafi, Hooman Shahsavari, Golnar Ghane, Zahra Zare,
Volume 19, Issue 3 (9-2025)
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: Ensuring the quality of care and maintaining patient safety are fundamental challenges within the nursing profession. Having a culturally relevant and valid tool to assess the phenomenon of “missed nursing care” can significantly assist in identifying actions and conditions that result in negative patient outcomes or situations where care is inadequately provided. Therefore, the aim of the present study was to culturally adapt and validate the Iranian version of the Missed Care Survey tool.
Materials and Methods: The translation and psychometric testing were carried out in six stages: 1) translation from the original language to the target language, 2) comparison of the two translated versions, 3) back-translation, 4) comparison of the back-translated versions with the original, 5) pilot testing of the pre-final version with a monolingual sample, and 6) full psychometric validation of the pre-final version. These stages were conducted with a sample of 330 nursing staff from hospitals affiliated with Tehran University of Medical Sciences.
Results: A total of 330 participants were included in the present study, the majority of whom were female and worked rotating shifts. Approximately half of the participants were aged between 25 and 34 years, and the longest duration of employment in the nursing profession was more than ten years (100 participants, 30.3%). In addition, more than half of the participants held a bachelor’s degree in nursing, and the majority worked more than 30 hours per week (316 participants, 95.8%).The Cronbach’s alpha for the entire instrument was 0.89, and for the subscales of Part B it ranged from 0.79 to 0.93. Moreover, the test–retest correlation coefficients for Part A (missed nursing care, including a list of nursing activities) and Part B (reasons for missed nursing care) were 0.83 and 0.80, respectively. The results of confirmatory factor analysis indicated an acceptable and satisfactory model fit for the three-factor structure of Part B based on overall goodness-of-fit indices. Collectively, these findings provide evidence for the instrument’s robust construct validity and reliability, supporting its suitability for assessing missed nursing care in clinical settings.
Results: A total of 330 participants were included in the present study, the majority of whom were female and worked rotating shifts. Approximately half of the participants were aged between 25 and 34 years, and the longest duration of employment in the nursing profession was more than ten years (100 participants, 30.3%). In addition, more than half of the participants held a bachelor’s degree in nursing, and the majority worked more than 30 hours per week (316 participants, 95.8%).The Cronbach’s alpha for the entire instrument was 0.89, and for the subscales of Part B it ranged from 0.79 to 0.93. Moreover, the test–retest correlation coefficients for Part A (missed nursing care, including a list of nursing activities) and Part B (reasons for missed nursing care) were 0.83 and 0.80, respectively. The results of confirmatory factor analysis indicated an acceptable and satisfactory model fit for the three-factor structure of Part B based on overall goodness-of-fit indices. Collectively, these findings provide evidence for the instrument’s robust construct validity and reliability, supporting its suitability for assessing missed nursing care in clinical settings.
Conclusion: Given the critical role of nurses in the healthcare system, providing high-quality and safe nursing care becomes increasingly important. The growing diversity of populations worldwide highlights the pressing need for researchers and healthcare providers to access valid tools across different cultural groups and languages. The Iranian version of the “Missed Nursing Care Survey” is a reliable tool with acceptable internal consistency, good test-retest reliability, and sufficient validity due to its correlation with the original version. Therefore, this tool can be utilized in studies aimed at generating deeper insights into the factors influencing or moderating this complex phenomenon.
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