The current status of health care indices and functional independence among older adults: data from HelpAge international-jordan study.

BACKGROUND: Health services should anticipate the changing pattern of illnesses associated with population aging to promote healthy aging. AIM: We aimed to evaluate health indices and chronic illnesses and their relationship with functional independence in community Syrian refugees & Jordanian elderly. METHODS: A stratified sample of 1,718 community older adults aged ≥ 60-year-old from four major Jordanian governorates was interviewed in this cross-sectional study. Katz Index of Independence in Activities of Daily Living was utilized to assess functional status. Data were analyzed using STATA 15. RESULTS: Despite the similarities in baseline function, Syrian refugees had more multimorbidities but less active health insurance, accessibility to healthcare services and availability of medications and medical devices than Jordanians. Two-thirds had multimorbidities; with heart diseases, musculoskeletal conditions, hypertension, and diabetes being the most commonly reported chronic illnesses. Females had significantly more multimorbidities, and functional dependence, yet less education, income and accessibility to healthcare services. The mean Katz Index score was 4.99 ± 1.61. Significant predictors of functional dependence included increasing age, lower level of education, and some chronic illnesses. CONCLUSION: National inclusive plans to support vulnerable older adults especially refugees and older women, provide health insurance, enhance access to health care facilities, and manage chronic medical illnesses comprehensively are urgently needed to improve independence of community-living older adults and to promote healthy aging.

Review: Medical directors - Is there a need for reform?

Medical leadership remains integral to the health system amidst a growing burden of ill health and disease, rising patient expectations and medical and technological advancements. The study objectives were to (a) provide a perspective through a rapid review of medical director roles and responsibilities in public and private hospital settings across several Organisation for Economic Co-operation and Development (OECD) and Non-Organisation for Economic Co-operation and Development countries, and (b) provide recommendations on how health system performance could be strengthened. A rapid review of Medical Director job descriptions in public and private hospitals was carried out. Medical Directors are influential leaders in organisational decision-making and quality improvement; however, their role has shifted from clinical oversight to several managerial and leadership roles. We report some variation in their role and responsibilities, in the 'intensity of job requirements' and 'complexity of managing resources' dimensions. The changing expectations of medical directors and the variation in their roles and responsibiliteis may contribute to inefficiencies and misalignment within health systems. There may be a need to pursue reform to assure alignment with health system objectives, albeit reform may require different approaches to meet the needs of different health systems. Further research is needed to explore how reform of medical directors' roles and responsibilities can be quantified to demonstrate improvement within health systems.

Optimizing interventional cardiology services.

Cardiovascular disease (CVD) is a common and prominent cause of morbidity and mortality interventional cardiology (IC) remains an important noninvasive intervention to improve patient outcomes and life expectancy. Aim: The study objectives were to explore how IC services could be optimized. Methods: We adopted multiple methods, including policy analysis, literature review and interviews. Results: The most prominent themes were medical devices and service integration and management. IC Consultant interviews suggest the need to balance supply and demand, implement standards of practice and establish centres of excellence. Conclusion: Optimizing IC services requires a comprehensive approach, including regulatory and financial oversight, organizational management, adoption of clinical and technological best practices, ongoing training, multidisciplinary working and service integration.

Knowledge of Jordanian women of reproductive age who underwent bariatric surgery and its effect on birth outcomes: A cross-sectional study.

Objectives: This study aims at exploring the knowledge of women of reproductive age who underwent bariatric surgery in Jordan regarding its effect on birth outcomes. Methods: A cross-sectional study was conducted on 183 women (aged 15-49) who had undergone bariatric surgery at the Jordan University Hospital in Amman, Jordan, between 2016 and 2019, using telephone interviews with conveniently selected participants' samples. The survey tool obtained data on women's knowledge and other sociodemographic, obstetric health, and bariatric surgery information. Unfavorable birth outcomes include preterm delivery, small for gestational age, congenital abnormalities, low birth weight, and admission to the neonatal critical care unit. Results: More than half of the participants did not know about the possible unfavorable birth outcomes after bariatric surgery and related practice guidelines. This is shown in their median score of 3 (interquartile range: 2-4) out of a maximum possible score of 8. Women who had a good score (>4) had received counseling about unfavorable bariatric surgery outcomes from their surgeon (p < 0.013); those who had educational qualifications higher than secondary school (p < 0.001) as well as those who were employed (p < 0.008) and believed that the surgery would affect the newborn (p < 0.001). The median score was also unfavorably associated with the parity of the participants (p < 0.003). Conclusion: The extent of knowledge regarding the unfavorable birth outcome of bariatric surgery is low among women who underwent bariatric surgery at Jordan University Hospital in Jordan. Improving health literacy and information on bariatric surgery implications on pregnancy and birth outcomes amongst women of reproductive age is a recommendation from this study.

Perspective: Telehealth - beyond legislation and regulation.

The World Health Organization describes health innovation as developing new or improved systems, policies, products, technologies, services or delivery approaches that improve health and well-being, specifically of vulnerable people. The study's objectives were to (a) explore the legislative and regulatory journey of telehealth across the Organisation for Economic Co-operation and Development and non-Organisation for Economic Co-operation and Development countries and (b) provide recommendations to strengthen health system performance. We reviewed information sources for Organisation for Economic Co-operation and Development and non-Organisation for Economic Co-operation and Development countries opportunistically, including government and medical board publications, media coverage and peer-reviewed papers, to provide a perspective on the legislative and regulatory telehealth journey. Our review of countries suggests that legislation and regulation remain essential for governance, accountability and assuring that healthcare professionals and technologies are safe and secure. However, there was no uniform approach to telehealth legislation and regulation, and the precautionary approach was observed in some countries. Different strategies appear to have been adopted for telehealth implementation. There is a need to go beyond legislation and regulation to strengthen health system performance and assure the future success of telehealth services. Health system decision makers should work with health system stakeholders to strategise and plan for telehealth services as it will have implications on the future delivery of healthcare services and the health system. Further research is needed to explore how policy frameworks may support innovations in healthcare, such as telehealth.

Cross Country Determinants of Investors' Sentiments Prediction in Emerging Markets Using ANN.

The paper models investor sentiments (IS) to attract investments for Health Sector and Growth in emerging markets, viz., India, Mainland China, and the UAE, by asking questions such as: What specific healthcare sector opportunities are available in the three markets? Are the USA-IS key IS predictors in the three economies? How important are macroeconomic and sociocultural factors in predicting IS in these markets? How important are economic crises and pandemic events in predicting IS in these markets? Is there contemporaneous relation in predicting IS across the three countries in terms of USA-IS, and, if yes, is the magnitude of the impact of USA-IS uniform across the three countries' IS? The artificial neural network (ANN) model is applied to weekly time-series data from January 2003 to December 2020 to capture behavioral elements in the investors' decision-making in these emerging economies. The empirical findings confirmed the superiority of the ANN framework over the traditional logistic model in capturing the cognitive behavior of investors. Health predictor-current health expenditure as a percentage of GDP, USA IS predictor-spread, and Macro-factor GDP-annual growth % are the common predictors across the 3 economies that positively impacted the emerging markets' IS behavior. USA (S&P 500) return is the only common predictor across the three economies that negatively impacted the emerging markets' IS behavior. However, the magnitude of both positive and negative impacts varies across the countries, signifying unique, diverse socioeconomic, cultural, and market features in each of the 3 economies. The results have four key implications: Firstly, US market sentiments are an essential factor influencing stock markets in these countries. Secondly, there is a need for developing a robust sentiment proxy on similar lines to the USA in the three countries. Thirdly, investment opportunities in the healthcare sector in these economies have been identified for potential investments by the investors. Fourthly, this study is the first study to investigate investors' sentiments in these three fast-emerging economies to attract investments in the Health Sector and Growth in the backdrop of UN's 2030 SDG 3 and SDG 8 targets to be achieved by these economies.

ICT Enabled Disease Diagnosis, Treatment and Management-A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India.

This concept paper addresses specific challenges identified in the UN 2030 Agenda Sustainable Development Goals (SDG) as well as the National Health Policy of India (NHP-India) and the Ministry of Health Policy of UAE (MHP-UAE). This policy calls for a digital health technology ecosystem. SDG Goal 1 and its related objectives are conceptualized which serves as the foundation for Virtual Consultations, Tele-pharmacy, Virtual Storage, and Virtual Community (VCom). SDG Goals 2 and 3 are conceptualized as Data Management & Analytical (DMA) Architecture. Individual researchers and health care professionals in India and the UAE can use DMA to uncover and harness PHC and POC data into practical insights. In addition, the DMA would provide a set of core tools for cross-network initiatives, allowing researchers and other users to compare their data with DMA data. In rural, urban, and remote populations of the UAE and India, the concept augments the PHC system with ICT-based interventions. The ICT-based interventions may improve patient health outcomes. The open and flexible design allows users to access various digital materials. Extendable data/metadata format, scalable architecture for petabyte-scale federated discovery. The modular DMA is designed using existing technology and resources. Public health functions include population health assessment, policy development, and monitoring policy implementation. PHC and POC periodically conduct syndromic surveillance to identify population risk patterns. In addition, the PHC and POC deploy medical and non-medical preventive measures to prevent disease outbreaks. To assess the impact of social and economic factors on health, epidemiologists must first understand diseases. Improved health due to compliance with holistic disease treatment plans and access to scientific health information.

Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey.

Graphical-design-based symptomatic techniques in pandemics perform a quintessential purpose in screening hit causes that comparatively render better outcomes amongst the principal radioscopy mechanisms in recognizing and diagnosing COVID-19 cases. The deep learning paradigm has been applied vastly to investigate radiographic images such as Chest X-Rays (CXR) and CT scan images. These radiographic images are rich in information such as patterns and clusters like structures, which are evident in conformance and detection of COVID-19 like pandemics. This paper aims to comprehensively study and analyze detection methodology based on Deep learning techniques for COVID-19 diagnosis. Deep learning technology is a good, practical, and affordable modality that can be deemed a reliable technique for adequately diagnosing the COVID-19 virus. Furthermore, the research determines the potential to enhance image character through artificial intelligence and distinguishes the most inexpensive and most trustworthy imaging method to anticipate dreadful viruses. This paper further discusses the cost-effectiveness of the surveyed methods for detecting COVID-19, in contrast with the other methods. Several finance-related aspects of COVID-19 detection effectiveness of different methods used for COVID-19 detection have been discussed. Overall, this study presents an overview of COVID-19 detection using deep learning methods and their cost-effectiveness and financial implications from the perspective of insurance claim settlement.

Predicting Universal Healthcare Through Health Financial Management for Sustainable Development in BRICS, GCC, and AUKUS Economic Blocks.

The majority of the world's population is still facing difficulties in getting access to primary healthcare facilities. Universal health coverage (UHC) proposes access to high-quality, affordable primary healthcare for all. The 17 UN sustainable development goals (SDGs) are expected to be executed and achieved by all the 193 countries through national sustainable development strategies and multi-stakeholder partnerships. This article addresses SDG 3.8-access to good quality and affordable healthcare and two subindicators related to societal impact (SDG 3.8.1 and 3.8.2) through two objectives. The first objective is to determine whether health expenditure indicators (HEIs) drive UHC, and the second objective is to analyze the importance of key determinants and their interactions with UHC in three economic blocks: emerging Gulf Cooperation Council (GCC); developing Brazil, Russia, India, China, and South Africa (BRICS) vis-à-vis the developed Australia, UK, and USA (AUKUS). We use the WHO Global Health Indicator database and UHC periodical surveys to evaluate the hypotheses. We apply state-of-the-art machine learning (ML) models and ordinary least square (traditional-OLS regression) methods to see the superiority of artificial intelligence (AI) over traditional ones. The ML Random Forest Tree method is found to be superior to the OLS model in terms of lower root mean square error (RMSE). The ML results indicate that domestic private health expenditure (PVT-D), out-of-pocket expenditure (OOPS) per Capita in US dollars, and voluntary health insurance (VHI) as a percentage of current health expenditure (CHE) are the key factors influencing UHC across the three economic blocks. Our findings have implications for drafting health and finance sector public policies, such as providing affordable social health insurance to the weaker sections of the population, making insurance premiums less expensive and affordable for the masses, and designing healthcare financing policies that are beneficial to the masses. UHC is an important determinant of health for all and requires an in-depth analysis of related factors. Policymakers are often faced with the challenge of prioritizing the economic needs of sectors such as education and food safety, making it difficult for healthcare to receive its due share. In this context, this article attempts to identify the key components that may influence the attainment of UHC and enable policy changes to address them more effectively and efficiently.

UAE efforts in promoting COVID-19 vaccination and building vaccine confidence.

The United Arab Emirates (UAE) is leading globally in many indicators for tackling the COVID-19 pandemic. This ranges from taking adequate preventive measures to the free vaccination drive and viable public health strategy. As of 18 August 2021, the UAE has significantly reduced the number of cases and successfully administered 17,454,250 doses. Furthermore, efforts and plans are underway to provide the third dose to high-risk people three months after completing the second dose and six months later to others. The UAE is considered one of the leaders globally for vaccinating "medically eligible" residents against COVID-19, with over 70% of the population currently fully vaccinated in the drive towards achieving herd immunity. The UAE's vaccination program is on track, covering a significant part of the population. The massive efforts of the National Vaccination Program's roll-out made by the UAE government and the various health authorities and stakeholders were vital for the general public's active participation in its success.

Gender-based disparities on health indices during COVID-19 crisis: a nationwide cross-sectional study in Jordan.

BACKGROUND: COVID-19 has an inevitable burden on public health, potentially widening the gender gap in healthcare and the economy. We aimed to assess gender-based desparities during COVID-19 in Jordan in terms of health indices, mental well-being and economic burden. METHODS: A nationally representative sample of 1300 participants ≥18 years living in Jordan were selected using stratified random sampling. Data were collected via telephone interviews in this cross-sectional study. Chi-square was used to test age and gender differences according to demographics, economic burden, and health indices (access to healthcare, health insurance, antenatal and reproductive services). A multivariable logistic regression analysis was used to estimate the beta-coefficient (ß) and 95% confidence interval (CI) of factors correlated with mental well-being, assessed by patients' health questionnaire 4 (PHQ-4). RESULTS: 656 (50.5%) men and 644 (49.5%) women completed the interview. Three-fourths of the participants had health insurance during the COVID-19 crisis. There was no significant difference in healthcare coverage or access between women and men (p > 0.05). Half of pregnant women were unable to access antenatal care. Gender was a significant predictor of higher PHQ-4 scores (women vs. men: ß: 0.88, 95% CI: 0.54-1.22). Among women, age ≥ 60 years and being married were associated with significantly lower PHQ-4 scores. Only 0.38% of the overall participants lost their jobs; however, 8.3% reported a reduced payment. More women (13.89%) were not paid during the crisis as compared with men (6.92%) (P = 0.01). CONCLUSIONS: Our results showed no gender differences in healthcare coverage or access during the COVID-19 crisis generally. Women in Jordan are experiencing worse outcomes in terms of mental well-being and economic burden. Policymakers should give priority to women's mental health and antenatal and reproductive services. Financial security should be addressed in all Jordanian COVID-19 national plans because the crisis appears widening the gender gap in the economy.

The nexus of Sugar-Sweetened Beverages: Insights on demographics, enablers and barriers.

Objectives: The study objectives were to a) explore the association between household income and nationality and Sugar-Sweetened Beverage (SSB) enablers and barriers, and b) inform public health policy and health promotion. Study design: A Cross-sectional Study in the UAE. Methods: Nationally representative population survey was used to capture demographic and SSB behaviour data. Results: We recruited 7500 participants into the study and received 1290 responses (17.2% participation rate). We report statistically significant associations between household income, nationality, and enablers and barriers. In some instances, similar enablers and barriers were reported by household income and nationality. Conclusions: There are several associations between household income, nationality and SSB enablers, and barriers. These associations should be considered for future public health policy and health promotion decision-making to reduce SSB consumption. In addition, further research is needed to explore how other demographic factors (modifying variables) are associated with SSB enablers and barriers.

Public Health Strategies for the Gradual Lifting of the Public Sector Lockdown in Jordan and the United Arab Emirates During the COVID-19 Crisis.

In this viewpoint, we present public policies and public health strategies for a gradual lockdown lifting during the coronavirus disease (COVID-19) crisis in two country cases, Jordan and the United Arab Emirates. While managing pandemics is critical in terms of preparedness, response, and recovery, it is equally vital to ensure that the measures for a lockdown exit are both efficient and effective. It is critical to learn from first-wave lessons to systematize responses during times of crisis and execute appropriate public policies and public health strategies. This viewpoint highlights the importance of the following during lockdown lifting: pandemic control, health care capacity, training, scaling up of resources and systems, and priority setting of public policies by acknowledging challenges, developing policy insights, and setting the policy direction. The systematic approaches and leadership thinking required for lifting lockdowns during a crisis include the three Rs: Readiness, Responses, and Resilience & Recovery.