Written by Saeed Asefzadeh, Soheyla Gholami, Roya Rajaee, Marziye Najafi, Mehran Alijanzadeh
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 3, March 2016
Introduction: Quality is the center of attention in all service providing organizations that are effective in promoting satisfaction of patients who are referred to medical centers. The aim of this study was to investigate the quality of health service providers in a case study of Qazvin, Iran, in 2014.
Methods: This descriptive study was conducted on 1,002 people who were residents of Qazvin Province (Iran) in 2014. The people were selected randomly from the population of the study area. The main variables studied were education, perceptions, expectations, and gaps in service quality. The data collection tool was the standard Servequal questionnaire. To determine the reliability of the research tool, we used Cronbach’s Alpha coefficient and the test-retest method. Statistical analyses were conducted using SPSS and the ANOVA test.
Results: The mean age of people included in the study was 32 ± 9.9 years, and the average waiting time to receive services was 73 ± 47 minutes. Hospitals and doctors' offices had the highest quality gap of -1.420 ± 0.82 and -1.01 ± 0.75, respectively. The service quality gaps in medical centers, health providers of rural area, and health providers of urban area were -0.883 ± 0.67, -0.882 ± 0.83, and -0.804 ± 0.62, respectively. There was a significant relationship between peoples' perceptions and expectations concerning the quality of health services and their educational levels.
Conclusion: The higher gaps in quality in hospitals and in doctors' offices require more attention. Managers and policy makers should consider developing and implementing plans to reduce these gaps in quality and to promote better health services in these two sectors.
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Keywords: quality of services; service providing centers; health system
Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: