Percorrer por autor "Ferreira, Diogo Cunha"
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- Assessing the traveling risks perceived by South African travelers during pandemic outbreaks: the case of COVID-19Publication . Plank, Pia Antoinette; Gomes, Luís Filipe; Caldas, Paulo; Varela, Miguel; Ferreira, Diogo CunhaThe unprecedented global health crisis caused by COVID-19 is undoubtedly having a major impact on international tourism for two reasons. While the imposed travel restrictions have discouraged people from traveling, travelers are struggling with growing anxiety in coping with the new travel environment. We address the changing risk perceptions of travelers in the wake of the COVID-19 pandemic. Our primary objective is to identify and weigh significant emerging travel risks and develop a Risk Score Index to measure destination performance and strategic interventions for South African travelers. In this case, we used MACBETH and web-Delphi to construct that index with the help of 32 experts in the field. We found that the risks perceived by tourists are multifaceted and encompass categories, such as additional costs, exchange rates, and reimbursement-related factors. These three criteria are most important to the general perception of travel risk. We applied the developed risk assessment index to five destinations to assess their performance relative to the identified risks. The UK was the best-performing country.
- Comparative analysis of additive and multiplicative BoD models in healthcare performance evaluationPublication . Vara, Guilherme; Gomes, Marta Castilho; Caldas, Paulo; Varela, Miguel; Ferreira, Diogo CunhaComposite indicators play a pivotal role across various fields, serving as powerful tools to condense information into a single, comprehensible metric. They function as a link between complex data and practical conclusions, which makes them valuable assets in diverse fields, assisting decision-makers. Since objectivity is vital for policy- and decision making, many researchers base their studies on the Benefit of-the-Doubt (BoD) methodology, which originated from the widely recognised Data Envelopment Analysis. This study provides a detailed comparison between the linear and multiplicative BoD approaches, incorporating both optimistic and pessimistic viewpoints to assess the performance of the Portuguese public hospitals. The linear approach is an additive linear programming model that constructs a piecewise linear and convex efficient frontier with the benchmarks. In contrast, the multiplicative approach constructs logarithmic curves instead of linear segments to define the efficient frontier allowing for greater flexibility by accommodating nonconvex and nonlinear shapes that better reflect the data distribution. As a result, the multiplicative approach achieves a tighter fit to the data, ultimately yielding higher overall scores. The results show that multiplicative scores in the pessimistic approach are lower than linear scores. Conversely, in the optimistic multiplicative approach, while expected to yield superior scores, certain entities lag due to non-compensatory elements. The implementation of the multiplicative BoD is remarkably simple, requiring only minimal changes when compared to the linear BoD. This raises questions about its low adoption and utilization compared to linear methods, despite its apparent advantages.
- Patient satisfaction with healthcare services and the techniques used for its assessment: a systematic literature review and a bibliometric analysisPublication . Ferreira, Diogo Cunha; Vieira, Inês; Pedro, Maria Isabel; Caldas, Paulo; Varela, MiguelPatient satisfaction with healthcare provision services and the factors influencing it are be-coming the main focus of many scientific studies. Assuring the quality of the provided services is essential for the fulfillment of patients' expectations and needs. Thus, this systematic review seeks to find the determinants of patient satisfaction in a global setting. We perform an analysis to evaluate the collected literature and to fulfill the literature gap of bibliometric analysis within this theme. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. We conducted our database search in Scopus, Web of Science, and PubMed in June 2022. Studies from 2000-2021 that followed the inclusion and exclusion criteria and that were written in English were included in the sample. We ended up with 157 articles to review. A co-citation and bibliographic coupling analysis were employed to find the most relevant sources, authors, and documents. We divided the factors influencing patient satisfaction into criteria and explanatory variables. Medical care, communication with the patient, and patient's age are among the most critical factors for researchers. The bibliometric analysis revealed the countries, institutions, documents, authors, and sources most productive and significant in patient satisfaction.