Health Care System in Portugal for People with Motor Problems

Purpose: From a social and labor inclusion perspective, the article presents a digital prototype conceptualized to provide a “Diagnostic Page”, which delivers various prescribers and suppliers of support products that mitigate the problems of the respective patients. It also provides a “Patient Card Page”, where all the information about financing the respective products is placed, as well as all the documents likely to be needed for the commercial transactions to be carried out by all the parties involved. It also aims to provide a digital medium to grow a community in this niche market. In the action research methodology approach, the prototype was taken to funding competitions and conferences, where interviews and surveys were carried out, and a number of suggestions were collected on the type of platform to consider in order to respond to the concerns and needs of end users, such as patients, prescribers, suppliers and associations. Methods: The digital platform where the system is hosted uses algorithms that, on the diagnostic page, consider keywords used by patients and return a series of prescribers and suppliers of support products, in which the corresponding percentage of attenuation is taken into account and the best solution found to overcome the level of difficulty presented by the respective patients is delivered. Results and Conclusions: It is hoped that, with this platform, people with motor problems will be able to obtain their diagnosis instantly, through the algorithm implemented, and that they will immediately be provided with a series of prescribers, suppliers and support products best suited to their needs, as well as all the information or conditions necessary to purchase or finance them. On the other hand, prescribers, suppliers and associations have an online platform where they can offer their consultations, products and other support as freelancers who are part of a community.

When a 17-Year-Old Girl Is Diagnosed with Myalgic Encephalomyelitis: A Case Study from the Swedish Health Care System—A Parent Perspective

This case study presents different strategies that were explored by the patient’s mother (who is a researcher in music and medicine) when her 17-year-old daughter was diagnosed with ME (Myalgic Encephalomyelitis), also known as Chronic Fatigue Syndrome (CFS). ME is not widely recognized in the Global as well as the Swedish population at large, and within healthcare, there are no standardized recommended treatments, partly due to the lack of published evidence-based studies. This case study aims to provide insights into how the Swedish healthcare system works, how different clinics and hospitals within it operate and interconnect;and how these contribute to health outcomes after 15 months of treatment.

Revealing the Trends in the Academic Landscape of the Health Care System Using Contextual Topic Modeling

The health care system encompasses the participation of individuals,groups,agencies,and resources that offer services to address the requirements of the person,community,and population in terms of health.Parallel to the rising debates on the healthcare systems in relation to diseases,treatments,interventions,medication,and clinical practice guidelines,the world is currently discussing the healthcare industry,technology perspectives,and healthcare costs.To gain a comprehensive understanding of the healthcare systems research paradigm,we offered a novel contextual topic modeling approach that links up the CombinedTM model with our healthcare Bert to discover the contextual topics in the domain of healthcare.This research work discovered 60 contextual topics among them fteen topics are the hottest which include smart medical monitoring systems,causes,and effects of stress and anxiety,and healthcare cost estimation and twelve topics are the coldest.Moreover,thirty-three topics are showing in-significant trends.We further investigated various clusters and correlations among the topics exploring inter-topic distance maps which add depth to the understanding of the research structure of this scientific domain.The current study enhances the prior topic modeling methodologies that examine the healthcare literature from a particular disciplinary perspective.It further extends the existing topic modeling approaches that do not incorporate contextual information in the topic discovery process adding contextual information by creating sentence embedding vectors through transformers-based models.We also utilized corpus tuning,the mean pooling technique,and the hugging face tool.Our method gives a higher coherence score as compared to the state-of-the-art models(LSA,LDA,and Ber Topic).

Smart Healthcare Activity Recognition Using Statistical Regression and Intelligent Learning

In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and recovery.The exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and significance.Although many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during analysis.Therefore,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare Monitoring.At first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction process.Here,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable devices.To attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced features.After that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and overhead.Experimental evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several instances.The quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.

Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

Water, Sanitation and Hygiene in Lower-Level Health Care Facilities of Dar es Salaam Region in Tanzania: Status towards Achieving the Sustainable Development Goals and Way Forward

Background: Improving Water, Sanitation and Hygiene in health care settings is a critical prerequisite for achieving national health goals and Sustainable Development Goals (SDGs). The World Health Organization (WHO) has set a target for each United Nations member state to reach by 2030. Each member state is required to reach by 2022, 2025 and 2030 at least 60%, 80% and 100%, respectively of basic level of service of the five elements which are water, sanitation, hygiene, waste management and environmental cleaning. Methods: This study aimed to evaluate and document the current state of basic water, sanitation, and hygiene services in all lower-level health care facilities in the Dar es Salaam region of Tanzania as of July 2022. A cross-sectional study was conducted in 99 public dispensaries in the Dar es Salaam region’s five councils: Ubungo, Kigamboni, Kinondoni and Temeke Municipalities, and Ilala City. The interviewee form and observational checklists were both digitalized using the Kobo tool software. The respondents were health care facility in-charges or nurse in-charges. Data were downloaded, validated, and imported to Stata version 15 for analysis. Results: The basic WASH level per JMP is far below the target in 2022. Each member state by 2022 is required to reach at least 60% of the basic level of service of each element. We found a low coverage of basic WASH in the 99 dispensaries included in this study. The basic WASH coverage was met in only 10 (10.1%) of the dispensaries, while the remaining 89 (89.9%) dispensaries fall on limited WASH services. Conclusion: This study revealed lower coverage of basic WASH services in dispensaries. An urgent need is required to improve the status of WASH in all the dispensaries and facilitate the provision of quality health care services, patient safety and reduce health care associated infections.

Ozone Sterilizer for Treatment and Health Care

Ozone is a green broad-spectrum bactericidal disinfectant, and a trace amount of ozone in the atmosphere makes many viruses and bacteria lose their biochemical activity and infectivity. Nature produces trace amounts of ozone in the air through lightning to purify the ecological environment. The product of ozone decomposition is oxygen, without secondary pollution. Ozone sterilizer is widely used in the epidemic prevention and control of intensive breeding farms and achieved remarkable results. If the concentration and action time of ozone can be accurately controlled, then ozone can quickly eliminate pathogens, without harming the normal cells in the human body. How to use medical ozone for epidemic prevention, treatment and health care is a subject worthy of serious study, which should arouse the attention of the experts in the field.

Estimating the Future of Health Care at the Community Level

Developments in health care in the United States are changing the delivery of services for providers and payors. This study focused on inpatient hospital discharges in the Syracuse hospitals and other services. It demonstrated that, during the past five years, numbers of inpatient adult medicine discharges had increased while adult surgery discharges had declined. This information suggested that adult medicine discharges could be expected to increase and approach levels of five years ago. It also suggested adult surgery discharges could be expected to remain at previous levels or decline. This information indicated that the combined emergency department visits declined from 238,000 to 202,000 between 2019 and 2020, then increased from 218,000 to 228,000 visits between 2021 and 2023. These developments will probably result in greater efficiency at the community level. With a decline in numbers of inpatient beds, providers will be able to focus on the more efficient management by reducing numbers of staff as well as fewer pharmaceuticals and testing.

Advance IoT Intelligent Healthcare System for Lung Disease Classification Using Ensemble Techniques

In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational hardware.In this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and cancer.Firstly,the CT images are captured and transmitted to the fog node through IoT devices.In the fog node,the image gets modified into a convenient and efficient format for further processing.advanced encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating systems.Finally,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning models.Herein different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature extraction.The softmax of heterogeneous base classifiers assists to make individual predictions.As a meta-classifier,the ensemble approach is employed to obtain final optimal results.Disease predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the outcome.The proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class classifications.The experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.

“Three essential elements”of the primary health care system:A comparison between California in the US and Guangdong in China

The primary health care system(PHCS)is the portal and basis for the national health delivery system.There are a number of elements which comprise the PHCS,but the system cannot be established and developed without the support of“three essential elements,”including general practitioners(GPs),health insurance,and government health investment.Through comparative analysis of the“three essential elements”of the PHCS between California in the US and Guangdong in China,this article indicates that there are three important aspects in developing a PHCS in China,as follows:training qualified GPs;establishing a diversified health insurance system to strengthen the policy connections between health insurance and the PHCS thereby increasing government health investment;and broadening health financing channels.

An Efficient Blockchain-Based Healthcare System Using Artificial Intelligence

Personal health records and electronic health records are considered as the most sensitive information in the healthcare domain.Several solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent issues.Hence,we propose a novel framework and implemented an attribute-based access control system using blockchain.Moreover,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security reasons.The current methods only focus on the related clinical records received from a medical diagnosis.Moreover,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare data.We have used a neural network and classifier to categorize the user access to our proposed system.Our proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare system.Experimental results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.

Primary Healthcare System of Pakistan: Challenges to Self-Management of Type 2 Diabetes

This review article is aimed at describing the primary healthcare system of Pakistan and its challenges in the face of epidemic of type 2 diabetes, focusing particularly on the middle-aged population of rural area of Pakistan. The main concern in Pakistan is that its middle-aged population is facing the onslaught of obesity and overweight due to lack of physical activity. In addition unhealthy eating habits making it more difficult for this population to control their weight. All these factors are contributing to a high risk of type 2 diabetes for the population of Pakistan. This article provides insight into the primary health care system of Pakistan and highlights its deficiencies by identifying that its primary healthcare system has a poor utilization of health care services, the poor accessibility to health system and poor management of diabetes by the healthcare system, gender disparity and inequity in the health care system. The primary objective of this study is to provide an overview of self-management of diabetes among the middle-aged population of Pakistan and to identify the overall deficiencies in the primary healthcare system, its delivery and access to the system, barriers to self-management of diabetes and quality of life in that region.

COVID-19 pandemic in the intensive care unit:Psychological implications and interventions,a systematic review

BACKGROUND The coronavirus disease 2019(COVID-19) pandemic produced changes in intensive care units(ICUs) in patient care and health organizations. The pandemic event increased patients’ risk of developing psychological symptoms during and after hospitalisation. These consequences also affected those family members who could not access the hospital. In addition, the initial lack of knowledge about the virus and its management, the climate of fear and uncertainty, the increased workload and the risk of becoming infected and being contagious, had a strong impact on healthcare staff and organizations. This highlighted the importance of interventions aimed at providing psychological support to ICUs, involving patients, their relatives, and the staff;this might involve the reorganisation of the daily routine and rearrangement of ICU staff duties.AIM To conduct a systematic review of psychological issues in ICUs during the COVID-19 pandemic involving patients, their relatives, and ICU staff.METHODS We investigated the PubMed and the ClinicalTrials.gov databases and found 65 eligible articles,upon which we commented.RESULTS Our results point to increased perceived stress and psychological distress in staff, patients and their relatives and increased worry for being infected with severe acute respiratory syndrome coronavirus-2 in patients and relatives. Furthermore, promising results were obtained for some psychological programmes aiming at improving psychological measures in all ICU categories.CONCLUSION As the pandemic limited direct inter-individual interactions, the role of interventions using digital tools and virtual reality is becoming increasingly important. All considered, our results indicate an essential role for psychologists in ICUs.

To scan or not to scan:Use of transient elastography in an integrated health system

BACKGROUND Non-invasive tests,such as Fibrosis-4 index and transient elastography(com-monly FibroScan),are utilized in clinical pathways to risk stratify and diagnose non-alcoholic fatty liver disease(NAFLD).In 2018,a clinical decision support tool(CDST)was implemented to guide primary care providers(PCPs)on use of FibroScan for NAFLD.AIM To analyze how this CDST impacted health care utilization and patient outcomes.METHODS We performed a retrospective review of adults who had FibroScan for NAFLD indication from January 2015 to December 2017(pre-CDST)or January 2018 to December 2020(post-CDST).Outcomes included FibroScan result,laboratory tests,imaging studies,specialty referral,patient morbidity and mortality.RESULTS We identified 958 patients who had FibroScan,115 before and 843 after the CDST was implemented.The percentage of FibroScans ordered by PCPs increased from 33%to 67.1%.The percentage of patients diagnosed with early F1 fibrosis,on a scale from F0 to F4,increased from 7.8%to 14.2%.Those diagnosed with ad-vanced F4 fibrosis decreased from 28.7%to 16.5%.There were fewer laboratory tests,imaging studies and biopsy after the CDST was implemented.Though there were more specialty referrals placed after the CDST was implemented,multivariate analysis revealed that healthcare utilization aligned with fibrosis score,whereby patients with more advanced disease had more referrals.Very few patients were hospitalized or died.CONCLUSION This CDST empowered PCPs to diagnose and manage patients with NAFLD with appropriate allocation of care towards patients with more advanced disease.

Prevalence of Post-Traumatic Stress Disorder (PTSD) among Healthcare Workers Following COVID-19 Pandemic in Jazan Region, KSA

Background: COVID-19 was declared a worldwide pandemic by the World Health Organization in 2020. Many pieces of research have been published on the virus’s pattern and transmission routes, and a few studies have been published on its psychological repercussions for the general public and health care workers in particular. We aimed in this study to figure out the impact of COVID-19 pandemic on the mental health of health care workers in the Jazan region and compare it to non-health care workers. Results: There were 221 participants in this study conducted in the Jazan region KSA, during the first part of 2022. 117 participants were non-HCWs (Health Care Workers) and 104 participants were HCWs. 31.7% of HCWs had high score of PTSD symptoms which may suppress their immunity, PTSD was a clinical concern in 12.5%, 6.7% had probable PTSD, and 49% had no PTSD. The average PTSD score in HCWs was 26.14. In contrast, the great majority of non-HCWs (69.2%) had no PTSD;PTSD was a clinical concern in 16.2%, 11.1% had a score indicating PTSD had the potential for immunosuppression, and 3.4% had probable PTSD. Conclusion: The COVID-19 pandemic did not affect just those who were infected with the virus, nor was it restricted to the mental health of those afflicted;rather, the influence expanded until it reached the general public and, in particular, those who had contact with patients, such as health care workers. As a result, mental health investigation, follow-up, and therapy are required to preserve the mental health of health care workers as well as the general population.

Depression among Health Care Workers in Khartoum State, Sudan, 2022

Introduction: Depression is a serious issue affecting healthcare workers and is a leading cause of disability for both genders. Furthermore, it is one of the leading causes of mortality and morbidity, responsible for 4.4 percent of global disability. An estimated 350 million people are currently living with depression worldwide. Objectives: to estimate the prevalence of depression among healthcare workers in Khartoum State in 2022 and determine the associated factors. Methods: A cross-sectional survey was conducted among healthcare workers in Khartoum State, Sudan, in 2022 using a self-administered electronic questionnaire. Depression was screened using the self-reporting questionnaire (PHQ-9). Descriptive statistics in the form of frequencies and percentages were used to display the data. Odds ratios (ORs) with a 95% confidence interval were estimated using bivariate and multivariate logistic regression analysis to determine associations between depression and related factors. Results: A total of 341 valid responses were received, with a mean age of 33.91. The overall prevalence of depression (PHQ-9 > 8) was 258 (75.6%). The prevalence was significantly associated with marital status (single and divorced), occupation (psychologist), and working department (Emergency Department), showing a p-value of Conclusion: Depression is a serious mental health disorder that affects all people, including healthcare workers, and is a growing problem in Sudan. To address this, healthcare organizations must implement policies and strategies to reduce inequality and protect healthcare workers. A multidisciplinary approach that includes mental health professionals, the Ministry of Health, and universities is needed to prioritize mental health issues and ensure quality care and the overall well-being of both healthcare workers and patients.

Didactic Sequences as an Educational Product to Facilitate Teaching-Learning Processes in Lato Sensu Graduate Courses in the Area of Health Management in Primary Care

Teaching strategies can be considered as techniques that are constructed to be used with the objective of promoting teaching and learning in the classroom, so that the teacher is considered a mentor, as he is the one who selects, analyzes, studies, organizes, builds and proposes the most classic tools to facilitate the learning process [1]. This study is an experience report related to the construction of an educational product that consists of the elaboration of pedagogical strategies, characterized by five didactic sequences in the perspective of collaborating with teaching-learning processes in lato sensu graduate courses. The themes that are part of the didactic sequences were built based on the results obtained in scientific research carried out during the development of the strict sensu postgraduate course in Teaching in Health and Technology, which involved: the work of coordinators who work in the field of health management in Primary Care, situations that challenge the management of Primary Care and the potentialities of work in the management of Primary Care. The didactic sequences have fun teaching strategies that provide meaningful learning for a future qualified professional performance. These sequences involve the use of active methodologies and the use of digital tools. The educational product developed seeks to promote benefits that can collaborate with the improvement of Primary Care Management and teaching-learning processes in the training of health professionals. Therefore, the pedagogical strategies, as well as its entire construction process, were developed through the collaboration of professors of the Health and Society discipline at the State University of Health Sciences of Alagoas (UNCISAL), seeking to make it qualify for effective construction of knowledge and that promote its wide use in the academic environment.

Managements of Special Health Care Needs Patients from Dental Assistant Point

The main role of this article is to describe dental assistants and the dental department’s role in the dental delivery system for Special health care needs (SCHN) by creating a structure to educate the dental assisting profession and project factors that have a significant impact on the dental assistant. The dental assisting management of SCHN patient’s profession including dental Assistance general responsibilities, regulation credentialing, and education. The SCHN patient’s management creates a challenge in all area of the dental department. Handling patient with a SCHN is underexplored throughout the dental staff especially when there is not enough theoretical foundation, education and training to deal with this category of patients. SCHN patients are defined as individuals who have abnormal behavioral impairments, mental conditions or/and chronic disease or abnormal laboratory results. Thus, the aim of this article is to guide all dental assistance staff in the best dental management choice for SCHN patients. All health care teams are part of patient care in most medical settings. A work environment supportive ensures positive outcomes for patient care. This article was considered as those categories of patients required more care and special way to deal with, moreover language, age, gender and education level of the patient are also considered significant parries. Not Many studies were found to support the care of SCHN patients in dentistry department. Taking experience from other area help to design a system to handle the SCHN even if it requires hiring a Dentist who is specialized in that filed.

The Relationship of Occupational Health Nurses’ Experiences with Associated Departments in Relation to Project Development of Mental Health Care for Primary Preventive Treatment

Purpose: The purpose of this study was to clarify the relationship and experiences of occupational health nurses (OHNs) and related departments in project development of mental health care for primary treatment in the Japanese occupational health setting. Method: A total of 235 OHNs who are members of the Japan Academy of Occupational Health Nursing were sent an anonymous self-administered questionnaire survey. The questionnaire included items on the following: the OHN’s background, whether the OHN had experience in project development, the communication between the associated departments, the Japanese version of the Work Engagement Scale (UWES-J), occupational assessments, workplace assessments, and the Transtheoretical Model (TTM) for health promotion in companies and the OHN’s working environment. We performed logistic regression analysis to examine the relationship between experience and these harmonious relationships with other associated departments. Result: Responses from 61 OHNs (valid response rate: 25.9%) were analyzed. The mean number of years of service as an OHN was 18.9, and 82% of respondents had experience in project development. The logistic analysis further revealed that OHNs who had experience in project development of mental health care usually had a harmonious relationship with other associated departments. Conclusion: To promote mental health care for workers, OHNs have the capability to create individual and workplace assessments, enhance their work engagement, and make further improvements to their working environment. .

Circular Economy in HealthCare Challenges and Issues

Some major countries like India investing in biopharmaceutical industry have designed new business models of circular economics called the“Uber for HealthCare”for instance by Basu et al.,for medical equipment in India(Euro,Healthcare Stream,&Dublin 2018).This raises major challenges for global supply of medicine and Value Chains in life science.This contribution will provide a review of recent experiences and an analysis of how it impacts current global value chains.Current economic model development strengthening the demand side of the system and applications of choice modeling to capture heterogeneity of demand at individual level face with new circular strategies implemented by health care organizations and economic suppliers.The all-value system is challenged by such models including the critical decision points at prognostic,diagnostic,and treatment stages;platforms such as the Her2adaptive technology platform with cost sensitivity indexes proposed by Huttin and Liebman(Technology&HealthCare,2011)face also potential adaptation to integrate new priorities:for instance,in circular economy with integration of circular touch points.Research results like Van Boerdonk et al.(2021),demonstrate that reaching cleaner production with higher environmental values may become“paradoxical with lower or unimportant customer value”.Government and payers may need to create new policies for waste management and for sustaining reasonable and fair value for money in the health system.Moreover,the economics of sharing economy may need to find appropriate forms of centralization or decentralization in the organizations of health systems and decision-making processes.Circular models in health care in sharing economy may benefit single pathway models,often too expensive for affordable welfare contracts.This paper will continue the previous research agenda and papers on global value chains with the use of TiVa OECD database(joined in the WB-WTO project)and a quality paper on the biotech development chain and Covid-19(Huttin,2019;2021).