ArticleApplied soft computing2021
Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive map.
Article in Applied soft computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 47 citations in OpenAlex.
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- Evaluating the capacity of tertiary general hospitals in Beijing to prevent and treat respiratory infectious diseases: a delphi study.BMC infectious diseases · 2024Article
- Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.Bioengineering (Basel, Switzerland) · 2024Review
- COVID-19 and Sustainable Development Goals (SDGs): Scenario analysis through fuzzy cognitive map modeling.Gondwana research : international geoscience journal · 2023Article
- Implementation of the Admission Process of Patients Under the Public Crisis Situation of COVID-19 Pandemic: A Real-World Case Study.Journal of multidisciplinary healthcare · 2023Article
- A latent space model and Hotelling's TJournal of applied statistics · 2023Article
- Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates.Expert systems with applications · 2022Article
- Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic.Utilities policy · 2022Article
- Factors determining the quality of health services provided to COVID-19 patients from the perspective of healthcare providers: Based on the Donabedian model.Frontiers in public health · 2022Article
- Article
- The quality of Syrian healthcare services during COVID-19: A HEALTHQUAL approach.Frontiers in public health · 2022Article
- Cross-Cultural Adaption and Validation of SERVPERF Tool for Measuring Healthcare Quality in an Oncology Public Hospital, Vietnam.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospitals as healthcare centers have faced many challenges with the Covid-19 spread, which results in a decline in the quality of health care. Because the number of patients referred to hospitals increases dramatically during the pandemic, providing high-quality services and satisfying them is more important than ever to maintain community health and create loyal customers in the future. However, health care quality standards are generally designed for normal circumstances. The SERVPERF standard, which measures customer perceptions of service quality, has also been adjusted for hospital service quality measurement. In this study, the SERVPERF standard criteria for health services are evaluated in the Covid-19 pandemic. For this purpose, by considering the causal relationships between the criteria and using Z-Number theory and Fuzzy Cognitive Maps (FCMs), the importance of these criteria in the prevalence of infectious diseases was analyzed. According to the results, hospital reliability, hospital hygiene, and completeness of the hospital with ratios 0.9559, 0.9305, and 0.9268 are respectively the most influential criteria in improving the quality of health services in the spread of infectious diseases circumstances such as the Covid-19 pandemic. A review of the literature shows that in previous studies, comprehensive research has not been done on prioritizing the criteria for measuring the quality of health services in the context of the spread of infectious diseases.
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