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Healthcare quality (HQ) became eminent during the COVID-19 crisis. Despite the efforts made by the Ministry of Health in Oman, the country faced several challenges, such as a lack of available funds and patients perceived in a negative manner which hindered their treatment experience. The study examines factors affecting HQ using the SERVQUAL model; patient satisfaction in Omani public hospitals, including healthcare quality, resources availability (RA), and healthcare facility preparedness (HFP); and the moderation effect of the perceived risk of COVID-19 pandemic. This research uses a mixed method with a sample size of 387 patients (quantitatively) selected using probability random sampling of 8 patients (qualitatively) who visited public hospitals The findings from the quantitative analysis reveals that the tangibility and RA had insignificant effect on the HQ. The moderation effect of perceived risk of COVID-19 between HQ, RA, HFP and patient satisfaction was insignificant. The results of the qualitative analysis indicated other factors that affected patient satisfaction, including communication, helpfulness, compassion, physician professionalism, patient-doctor contact, waiting time, atmosphere, and cleanliness. The study proposed a strategy for technical categories that include professional skills, service outcomes and concrete quality aspects, and functional categories. The study has also recommended implications for further investigation.
Healthcare quality (HQ) became eminent during the COVID-19 crisis. Despite the efforts made by the Ministry of Health in Oman, the country faced several challenges, such as a lack of available funds and patients perceived in a negative manner which hindered their treatment experience. The study examines factors affecting HQ using the SERVQUAL model; patient satisfaction in Omani public hospitals, including healthcare quality, resources availability (RA), and healthcare facility preparedness (HFP); and the moderation effect of the perceived risk of COVID-19 pandemic. This research uses a mixed method with a sample size of 387 patients (quantitatively) selected using probability random sampling of 8 patients (qualitatively) who visited public hospitals The findings from the quantitative analysis reveals that the tangibility and RA had insignificant effect on the HQ. The moderation effect of perceived risk of COVID-19 between HQ, RA, HFP and patient satisfaction was insignificant. The results of the qualitative analysis indicated other factors that affected patient satisfaction, including communication, helpfulness, compassion, physician professionalism, patient-doctor contact, waiting time, atmosphere, and cleanliness. The study proposed a strategy for technical categories that include professional skills, service outcomes and concrete quality aspects, and functional categories. The study has also recommended implications for further investigation.
Comprehensive and with a strong practical focus, this volume presents a complete guide to maximising the range and impact of e-mail marketing techniques. It analyses where e-mail marketing works and where it shouldn't be used, and includes guidance on the treatment of inbound and outbound e-mail.
This article reports on the development and psychometric properties of a short-form version of the 50-item Patient Satisfaction Questionnaire III (PSQ-III). The short-form instrument, the PSQ-18, contains 18 items tapping each of the seven dimensions of satisfaction with medical care measured by the PSQ-III: general satisfaction, technical quality, interpersonal manner, communication, financial aspects, time spent with doctor, and accessibility and convenience. PSQ-18 subscale scores are substantially correlated with their full-scale counterparts and possess generally adequate internal consistency reliability. Moreover, both the magnitude of the correlation coefficients and the overall pattern of correlations among PSQ-18 subscales are highly similar to those observed for the PSQ-III. These preliminary analyses support the use of the PSQ-18 in situations where the need for brevity precludes administration of the full-length PSQ-III.
Aims and Scope Patients are more empowered to shape their own health care today than ever before. Health information technologies are creating new opportunities for patients and families to participate actively in their care, manage their medical problems and improve communication with their healthcare providers. Moreover, health information technologies are enabling healthcare providers to partner with their patients in a bold effort to optimize quality of care, improve health outcomes and transform the healthcare system on the macro-level. In this book, leading figures discuss the existing needs, challenges and opportunities for improving patient engagement and empowerment through health information technology, mapping out what has been accomplished and what work remains to truly transform the care we deliver and engage patients in their care. Policymakers, healthcare providers and administrators, consultants and industry managers, researchers and students and, not least, patients and their family members should all find value in this book. "In the exciting period that lies just ahead, more will be needed than simply connecting patients to clinicians, and clinicians to each other. The health care systems that will be most effective in meeting patients' needs will be those that can actually design their 'human wares' around that purpose. This book provides deep insight into how information technology can and will support that redesign." Thomas H. Lee, MD, MSc, Chief Medical Officer, Press Ganey Associates; Professor of Medicine, Harvard Medical School and Professor of Health Policy and Management, Harvard School of Public Health The Editors: Drs. Maria Adela Grando, Ronen Rozenblum and David W. Bates are widely recognized professors, researchers and experts in the domain of health information technology, patient engagement and empowerment. Their research, lectures and contributions in these domains have been recognized nationally and internationally. Dr. Grando is affiliated with Arizona State University and the Mayo Clinic, and Drs. Rozenblum and Bates are affiliated with Brigham and Women's Hospital and Harvard University.
This study has emerged from an ongoing program of trilateral cooperation between WHO, WTO and WIPO. It responds to an increasing demand, particularly in developing countries, for strengthened capacity for informed policy-making in areas of intersection between health, trade and IP, focusing on access to and innovation of medicines and other medical technologies.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Human capital—the knowledge, skills, and health that people accumulate over their lives—is a central driver of sustainable growth, poverty reduction, and successful societies. More human capital is associated with higher earnings for people, higher income for countries, and stronger cohesion in societies. Much of the hard-won human capital gains in many economies over the past decade is at risk of being eroded by the COVID-19 (coronavirus) pandemic. Urgent action is needed to protect these advances, particularly among the poor and vulnerable. Designing the needed interventions, targeting them to achieve the highest effectiveness, and navigating difficult trade-offs make investing in better measurement of human capital now more important than ever. The Human Capital Index (HCI)—launched in 2018 as part of the Human Capital Project—is an international metric that benchmarks the key components of human capital across economies. The HCI is a global effort to accelerate progress toward a world where all children can achieve their full potential. Measuring the human capital that children born today can expect to attain by their 18th birthdays, the HCI highlights how current health and education outcomes shape the productivity of the next generation of workers and underscores the importance of government and societal investments in human capital. The Human Capital Index 2020 Update: Human Capital in the Time of COVID-19 presents the first update of the HCI, using health and education data available as of March 2020. It documents new evidence on trends, examples of successes, and analytical work on the utilization of human capital. The new data—collected before the global onset of COVID-19—can act as a baseline to track its effects on health and education outcomes. The report highlights how better measurement is essential for policy makers to design effective interventions and target support. In the immediate term, investments in better measurement and data use will guide pandemic containment strategies and support for those who are most affected. In the medium term, better curation and use of administrative, survey, and identification data can guide policy choices in an environment of limited fiscal space and competing priorities. In the longer term, the hope is that economies will be able to do more than simply recover lost ground. Ambitious, evidence-driven policy measures in health, education, and social protection can pave the way for today’s children to surpass the human capital achievements and quality of life of the generations that preceded them.
Case study research conducted in 1981 in nine US companies and seven Japanese companies.