The Importance of Various Healthcare Quality Dimensions from the Physician's Viewpoint

1995 ◽  
Vol 5 (2) ◽  
pp. 47-56
Author(s):  
Linda M. Delene ◽  
Hanjoon Lee
Author(s):  
Anastasia N. Kastania

E-health evaluation, which involves different dimensions, has increased. In traditional healthcare, quality dimensions exist but these are not sufficiently exploited for e-health. Reliability is often examined regarding technology, software, demand and survival. This chapter reviews the reasons that e-health systems need to be evaluated, the methods followed for conducting e-health evaluation studies and the main points that characterize an evaluation procedure as successful. Many researchers have presented evaluation considerations for e-health. Herein, the emphasis is on analyzing a series of ideas mined from the scientific literature that allows drawing up practical considerations for e-health evaluation. These considerations focus both on quality and reliability assurance as well as on quality and reliability improvement.


2020 ◽  
Vol 32 (8) ◽  
pp. 531-544 ◽  
Author(s):  
Claudia A S Araujo ◽  
Marina Martins Siqueira ◽  
Ana Maria Malik

Abstract Purpose To systematically review the impact of hospital accreditation on healthcare quality indicators, as classified into seven healthcare quality dimensions. Data source We searched eight databases in June 2020: EBSCO, PubMed, Web of Science, Emerald, ProQuest, Science Direct, Scopus and Virtual Health Library. Search terms were conceptualized into three groups: hospitals, accreditation and terms relating to healthcare quality. The eligibility criteria included academic articles that applied quantitative methods to examine the impact of hospital accreditation on healthcare quality indicators. Study selection We applied the PICO framework to select the articles according to the following criteria: Population—all types of hospitals; Intervention—hospital accreditation; Comparison—quantitative method applied to compare accredited vs. nonaccredited hospitals, or hospitals before vs. after accreditation; Outcomes—regarding the seven healthcare quality dimensions. After a critical appraisal of the 943 citations initially retrieved, 36 studies were included in this review. Results of data synthesis Overall results suggest that accreditation may have a positive impact on efficiency, safety, effectiveness, timeliness and patient-centeredness. In turn, only one study analyzes the impact on access, and no study has investigated the impact on equity dimension yet. Conclusion Mainly due to the methodological shortcomings, the positive impact of accreditation on healthcare dimensions should be interpreted with caution. This study provides an up-to-date overview of the main themes examined in the literature, highlighting critical knowledge-gaps and methodological flaws. The findings may provide value to healthcare stakeholders in terms of improving their ability to assess the relevance of accreditation processes.


2012 ◽  
pp. 1126-1140
Author(s):  
Anastasia N. Kastania

E-health evaluation, which involves different dimensions, has increased. In traditional healthcare, quality dimensions exist but these are not sufficiently exploited for e-health. Reliability is often examined regarding technology, software, demand and survival. This chapter reviews the reasons that e-health systems need to be evaluated, the methods followed for conducting e-health evaluation studies and the main points that characterize an evaluation procedure as successful. Many researchers have presented evaluation considerations for e-health. Herein, the emphasis is on analyzing a series of ideas mined from the scientific literature that allows drawing up practical considerations for e-health evaluation. These considerations focus both on quality and reliability assurance as well as on quality and reliability improvement.


2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Emad Yusuf Masoud

This study aims to determine the dimensions of mobile service quality and to examine their effect on customer satisfaction in UAE mobile phone service providers while also investigating the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. A combination of the SERVPERF model has been adopted as the main framework for analyzing service quality. A structured questionnaire instrument was designed for data collection. The present study concentrates on the level of customers’ satisfaction for leading service providers in the UAE mobile industry. Etisalat and Du were chosen for this study. A sample of (452) mobile phone users in Abu Dhabi city was selected at random using convenience-sampling. We found a positive effect of both functional and technical service quality (network quality) on customers’ satisfaction. Functional and technical dimensions were good predictors of customer satisfaction and confirmed the multidimensional nature of service quality. Also, the service quality dimensions; reliability, assurances, and responsiveness are found to be significant predictors of customer satisfaction. Behavioural difference between mobile phone customers is also significant in predicting customer satisfaction for postpaid subscribers. However, only reliability and network quality are significant predictors of customer satisfaction for prepaid subscribers. The model developed in this study provides marketers and researchers with a diagnostic tool to assess service quality from the perspectives of customers to meet the customer’s expectations and ensure customer satisfaction.


Author(s):  
Roohi Abbas

Background: Ever since quality of services is gaining importance in every industry as it is the indicator of consumer/customer satisfaction, it is of utmost importance to measure service quality of educational institutes to determine the satisfaction of students. Thus, the study aimed to determine the important factors in service quality dimensions which contribute to the satisfaction of students. Methods: This was a Comparative Cross Sectional study in which final year department of physical therapy (DPT) students were included from three private and three public physiotherapy institutes. Results: The largest mean Positive Gap scores for Public Physiotherapy Institutes was 0.18 for accessibility and affordability 0.18. The largest negative mean gap score for Private Physiotherapy domain was “Accessibility and Affordability” found to be -1.96. Conclusion: Students were satisfied with service quality of private institutes in all domains except for the “Accessibility and Affordability” whereas, in Public Institutes largest negative quality gaps were found in “Empathy” and “Assurance”.


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