Patients’ satisfaction: The medical appointments valence in Portuguese public hospitals

Chang

et al. 2022

Multimed Tools Appl

With the advancement of technology and the spread of the COVID19 epidemic, learning can no longer only be done through face-to-face teaching. Numerous digital learning materials have appeared in large numbers, changing people’s learning mode. In the era of information explosion, how to capture the learners’ attention to teaching videos and improve learning effectiveness is the common goal of every designer of e-leaning teaching content. Previous researches focused on the analysis of learning effectiveness and satisfaction. Instructional designers only provided design elements with high learning effectiveness or high satisfaction, and lacked in-depth analysis of the learners’ perspectives. The opinions of these e-learning users are often the key to the success of online teaching videos. Therefore, this study aims at the design elements that will be used in the teaching film. The operation mode of the piano mechanism will be employed as the content of the teaching film. Based on eight elements including arrow cueing, dynamic arrow cueing, spreading-color cueing, contrary to cueing, font style, color application, anthropomorphic, and audiovisual complementarity, we use Refined Kano Model to analyze learners’ needs of categorization of each element, and discover learners’ expectations for teaching videos. In addition, this study also conducts in-depth data analysis through decision trees algorithm, and stratification analyses using different variables (such as design expertise, using frequency, and usage experience, etc.) to find out the key design factors that affect learners’ learning. Depending on the learner’s background, the use of e-learning experience, using frequency, and the length of the learning video, our results could provide for reference when designing teaching videos. Instructional designers can better understand how to effectively use design elements, so that the teaching videos can achieve the best learning effect.

Section: Literature Reviewmentioning

confidence: 99%

Using refined kano model and decision trees to discover learners’ needs for teaching videos

Chang

et al. 2022

Multimed Tools Appl

“…Therefore, implementing systems that control for the (dis)satisfaction of users and identify priority areas is a compulsory measure. For instance, Ferreira and colleagues 39 extended and applied a linear programming tool, known as MUSA (Multicriteria Satisfaction Analysis) to identify the priory areas to improve the satisfaction of outpatients seen in the medical appointments’ service. Those authors proposed multiple strategies, but the critical one is, as expected, to reduce waiting times.…”

Section: Current Policies To Retrieve the National Health Servicementioning

confidence: 99%

Financial Crisis in Portugal: Effects in the Health Care Sector

2019

Portugal has faced an economic and financial crisis that began circa FY2009 and whose effects are still ongoing. In FY2011, the Portuguese state and the European triumvirate – composed of the European Commission, the International Monetary Fund, and the European Central Bank – signed the Memoranda of Understanding. This troika agreement aimed to improve the operational efficiency of public services. This crisis had a considerable impact on the Portuguese citizens’ life and productivity, as well as on the public health care system. Cuts over public expenditures have been made to reduce the risk of noncompliance with budgetary targets, despite their potential impact on quality and access to health care services. We analyzed the main policies and measures undertaken by the Portuguese Ministry of Health with respect to the bailout program associated with the troika agreement. Then, we focused on the budgetary cuts–related risks over the social performance of the care system. Evidence suggests that structural reforms in the health care sector in the troika period had positive effects in terms of drugs administration and consumption, on the one hand, and secondary care expenditures reduction, on the other hand. Nonetheless, we observed some divestitures on infrastructures and the worsening of access to health care services.

Multi Criteria Decision Anal

“…Doumpos et al (2016) propose a robust multi‐criteria model to monitor the postoperative behaviour of patients to improve the medical services. In the context of Portugal, Ferreira et al (2018) adopt the linear programming‐based multi‐criteria satisfaction analysis method to measure patient satisfaction and identify the priorities for the service provider regarding medical appointment services. In the context of China, Ming et al (2020) propose an integrated probabilistic linguistic best‐worst and the gained‐lost dominance score method to measure patient satisfaction in the blood collection room.…”

Section: Literature Reviewmentioning

confidence: 99%

A joint weighting and modified weighted aggregated sum product assessment‐based methodology for the measurement of patient satisfaction: Evidence from Indian healthcare

Singh

Kundu

Adhikari

et al. 2021

In recent times, the increasing healthcare spending due to the rising health awareness signifies the importance of identifying the appropriate factors that influence patient satisfaction, weight assignment to these factors, and measurement of patient satisfaction becomes important. However, devising a robust objective weighting method for weight assignment of the factors and an analytical method for determining patient satisfaction scores has not been paid enough attention. Motivated by these issues, this work focuses on devising a robust objective weighting method for weight assignment of the factors that influence patient satisfaction, an analytical method for determining patient satisfaction, and real‐life implementation. We first propose a joint weighting methodology to allocate the weights to the factors by integrating the weights determined by different objective weighting methods, namely, mean weight, SD, entropy, criteria importance through intercriteria correlation, and preference selection index‐based approaches. Next, using the weights of these factors, we design a modified weighted aggregated sum product assessment method to determine a single patient satisfaction score by integrating the scores obtained from the weighted sum model and the weighted product model. The proposed methodology is applied to a real‐world dataset provided by a large healthcare provider and diagnostic clinic in Kolkata, India, to exhibit the real‐life implementation. The theoretical insights obtained through non‐parametric tests highlight the significant difference between joint weighting‐based and single weighting‐based methods. The context‐specific insights signify that the patients suffering from arthritis and hyperlipidaemia exhibit lower satisfaction. Also, the patients suffering from dengue express lower satisfaction than the patients suffering from malaria. Additionally, the healthcare provider should focus on improving the service quality of the departments such as ophthalmology, ENT, and dietician.