Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (87 journals)
    - HEALTH AND SAFETY (686 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (358 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (112 journals)
    - PHYSICAL FITNESS AND HYGIENE (117 journals)
    - WOMEN'S HEALTH (82 journals)

HEALTH AND SAFETY (686 journals)

We no longer collect new content from this publisher because the publisher has forbidden systematic access to its RSS feeds.
Similar Journals
Journal Cover
South Eastern European Journal of Public Health
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2197-5248
Published by Jacobs Verlag Homepage  [1 journal]
  • Enhancing Public Healthcare Security: Integrating Cutting-Edge
           Technologies into Social Medical Systems

    • Authors: Rakhi Mutha, Ratnaprabha Ravindra Borhade, Sheetal Sachin Barekar, Sukhvinder Singh Dari, Dharmesh Dhabliya, Mukesh Patil
      Pages: 01 - 11
      Abstract: In a time when technology is present in every aspect of our lives, it is crucial to incorporate advanced solutions to protect sensitive medical data in Social Medical Systems (SMS). This study explores the need to improve security in public healthcare by using advanced technologies to strengthen the weaknesses in the growing field of Social Medical Systems. This study specifically examines the analysis of IoT-23 data using machine learning (ML) and deep learning (DL) methods, as technology and healthcare converge. The research highlights the increasing significance of technology in healthcare, specifically focusing on the revolutionary emergence of Social Medical Systems. As these interlinked networks reshape the provision of public healthcare services, security challenges such as data breaches, cyber threats, and privacy concerns become crucial barriers that require innovative solutions. The study utilizes a wide range of machine learning (ML) and deep learning (DL) techniques to examine IoT-23 data, offering a detailed comprehension of the security environment in Social Medical Systems. The chosen models comprise Support Vector Machines (SVM), Isolation Forest, Random Forest, Convolutional Neural Networks (CNN), and Autoencoder. The results and discussions focus on evaluating metrics such as accuracy, precision, recall, and F1 score. These metrics provide insights into how effective each model is in identifying vulnerabilities and potential threats in the IoT-23 dataset. The results contribute to the wider discussion on enhancing the security of public healthcare systems. They provide suggestions for incorporating anomaly detection, encryption protocols, and continuous monitoring to strengthen the security of Social Medical Systems. This research provides guidance for policymakers, healthcare practitioners, and technologists as they navigate the changing landscape of healthcare digitization. It advocates for the proactive integration of advanced technologies to ensure the security, privacy, and accessibility of healthcare information within the interconnected web of Social Medical Systems.
      DOI : https://doi.org/10.52710/seejph.483
      PubDate: 2024-05-27
       
  • Securing the Future: Technological Innovations for Social Medical Public
           Healthcare Security

    • Authors: Mahadeo D. Kokate, Satish N. Gujar, Sunil L. Bangare, Dharmesh Dhabliya, Parth Sharma, Mukesh Patil
      Pages: 12 - 23
      Abstract: The public healthcare sector is currently experiencing significant changes, characterized by a growing dependence on technology to improve efficiency, accessibility, and the quality of patient care. Nevertheless, the swift process of digitization presents unparalleled challenges in healthcare security. This review paper explores the complex relationship between technological advancements and the need to strengthen the security of social medical public healthcare. The paper commences by examining the historical progression of healthcare security concerns, emphasizing the insights gained from previous occurrences, and clarifying the urgent requirement for a comprehensive security framework. An exhaustive analysis of the present healthcare security scenario exposes weaknesses in the current systems and emphasizes the need for flexible solutions. The literature review examines the most recent progressions in healthcare technologies, specifically emphasizing pioneering innovations such as blockchain, artificial intelligence, and Internet of Things (IoT) devices. Concrete examples of successful technology implementations in different healthcare settings are provided through real-world case studies, offering practical insights into their effectiveness. Nevertheless, the incorporation of these technological solutions presents difficulties, encompassing privacy apprehensions, adherence to regulations, and the intricate endeavor of aligning with existing systems. The paper examines these challenges closely and suggests strategies for reducing cybersecurity risks. The advantages of technological advancements in healthcare security are outlined, highlighting how these advancements contribute to heightened data security, enhanced patient care and monitoring, and streamlined healthcare procedures. The narrative is enhanced by the inclusion of case studies that demonstrate successful implementations on a global scale. The paper progresses by predicting forthcoming risks to healthcare security, offering a strategic plan for policymakers and healthcare practitioners to foresee and tackle emerging challenges. The potential impact of emerging technologies, such as quantum computing and genomics, on healthcare security is being investigated. The recommendations for policymakers include policy reforms, regulatory frameworks, and incentives to promote the adoption of secure technologies. In addition, the paper promotes the implementation of training and education initiatives to enhance cybersecurity awareness among healthcare professionals. Ultimately, this review paper combines historical viewpoints, present circumstances, and future possibilities to emphasize the crucial importance of technological advancements in ensuring the future of social medical public healthcare. The purpose of this paper is to provide policymakers, healthcare practitioners, and researchers with valuable information and suggestions. The goal is to encourage a shared dedication to strengthening healthcare security for the betterment of society.
      DOI : https://doi.org/10.52710/seejph.484
      PubDate: 2024-05-27
       
  • Cybersecurity Technologies for Protecting Social Medical Data in Public
           Healthcare Environments

    • Authors: Rakhi Mutha, Sheetal Sachin Barekar, Ratnaprabha Ravindra Borhade, Jambi Ratna Raja Kumar, Prashant Dhage, Varda Gotmare
      Pages: 24 - 34
      Abstract: The growing digitization of healthcare systems has made safeguarding sensitive social medical data a crucial priority. The primary objective of this study is to utilize sophisticated cybersecurity technologies, particularly machine learning (ML) algorithms, to improve the security of Electronic Health Records (EHR) in public healthcare settings. The proposed approach presents an innovative technique that merges the advantages of isolation forest and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) [IF-DBSCAN]algorithms for anomaly detection, achieving an impressive accuracy rate of 0.968. The study examines the difficulties presented by the distinct characteristics of healthcare data, which includes both medical and social information. The inadequacy of conventional security measures has necessitated the incorporation of sophisticated machine learning algorithms to detect abnormal patterns that may indicate potential security breaches. The hybrid model, which combines isolation forest and DBSCAN, seeks to overcome the constraints of current anomaly detection techniques by offering a resilient and precise solution specifically designed for the healthcare domain. The isolation forest is highly proficient at isolating anomalies by leveraging the inherent attributes of normal data, whereas DBSCAN is adept at detecting clusters and outliers within densely populated data regions. The integration of these two algorithms is anticipated to augment the overall anomaly detection capabilities, thereby strengthening the cybersecurity stance of healthcare systems. The proposed method is subjected to thorough evaluation using real-world datasets obtained from public healthcare environments. The accuracy rate of 0.968 demonstrates the effectiveness of the hybrid approach in accurately differentiating between normal and anomalous activities in EHR data. The research makes a valuable contribution to the field of cybersecurity in healthcare and also tackles the increasing concerns related to the privacy and reliability of social medical data. This research introduces an innovative method for protecting social medical data in public healthcare settings. It utilizes a sophisticated combination of isolation forest and DBSCAN to detect anomalies. The method's high accuracy in the evaluation highlights its potential to greatly improve cybersecurity in healthcare systems, thereby guaranteeing the confidentiality and integrity of sensitive patient information.
      DOI : https://doi.org/10.52710/seejph.485
      PubDate: 2024-05-27
       
  • Next-Gen Security: Leveraging Advanced Technologies for Social Medical
           Public Healthcare Resilience

    • Authors: Jayalaxmi Dash, Sheetal Sachin Barekar, Ratnaprabha Ravindra Borhade, Sharayu Ikhar, Ahmar Afaq, Shailesh P. Bendale
      Pages: 35 - 51
      Abstract: The healthcare industry is undergoing a significant change as it incorporates advanced technologies to strengthen its security infrastructure and improve its ability to withstand current challenges and  explores the important overlap between security, technology, and public health. The introductory section presents a thorough overview, highlighting the current status of public healthcare and emphasizing the crucial importance of security in protecting confidential medical data. This statement highlights the current difficulties encountered by social medical public healthcare systems and emphasizes the urgent need to utilize advanced technologies to strengthen their ability to adapt and recover. The systematic literature review explores a wide range of studies, providing insight into the various aspects of healthcare security. This text examines conventional security methods, exposes their constraints, and advances the discussion by examining cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning, Blockchain, Internet of Things (IoT), and Biometric Security Solutions. Every technology is carefully examined to determine its ability to strengthen healthcare systems against cyber threats and breaches, guaranteeing the confidentiality and accuracy of patient data. The methodology section provides a clear explanation of the research design, the process of selecting participants, and the strategies used for analyzing the data. The research seeks to evaluate the present security situation and determine the best methods for incorporating advanced technologies into healthcare systems, using either qualitative or quantitative methods. The following sections elucidate the security challenges inherent in social medical public healthcare, encompassing cyber threats and privacy concerns. Drawing on case studies, the paper illustrates successful implementations of advanced technologies in healthcare security, distilling valuable lessons and best practices. The recommendations section goes beyond the technical domain, exploring the policy implications and strategies for technological implementation. The exploration of regulatory frameworks, legal considerations, and ethical dimensions is conducted to provide guidance for the smooth integration of advanced technologies into healthcare systems. Healthcare professionals are encouraged to participate in training and awareness programs to ensure a comprehensive and efficient implementation. To summarize, the paper combines the results, highlighting the importance of utilizing advanced technologies to strengthen the security framework of social medical public healthcare. The significance of healthcare resilience is emphasized, and potential areas for future research are delineated. This research is an important resource that offers valuable insights and guidance for stakeholders, policymakers, and technologists who are dealing with the intricate field of healthcare security in the age of advanced technologies.
      DOI : https://doi.org/10.52710/seejph.486
      PubDate: 2024-05-27
       
  • Securing the Digital Frontier: The Role of Technology in Social Medical
           Public Healthcare Security

    • Authors: Wankhede Vishal Ashok, Satish N. Gujar, Sofiya Mujawar, Nitin Sakhare, Vaidehi Pareek, Shailesh P. Bendale
      Pages: 52 - 62
      Abstract: The rapid expansion of digital connectivity within social medical public healthcare systems (SMPH) has fundamentally transformed the way patient care is delivered. However, it has also made sensitive data vulnerable to a wide range of cybersecurity threats. This study introduces and assesses a new hybrid deep learning model, GANA-AO, with the aim of improving real-time anomaly detection and threat prevention in SMPH. GANA-AO leverages the capabilities of Generative Adversarial Networks (GAN) and Autoencoders, enhanced by Adam optimization, to achieve outstanding accuracy and generalizability. Generative Adversarial Networks (GAN) produce authentic artificial data to supplement the training dataset and tackle the problem of imbalanced classes. On the other hand, Autoencoders acquire compact representations of normal data, aiding in the detection of anomalies by identifying deviations. Adam optimization effectively adjusts model hyperparameters, thereby improving performance. The efficacy of GANA-AO is demonstrated through our experiments conducted on the publicly accessible IoT-23 dataset. The model demonstrates an exceptional accuracy of 98.33% and a True Positive Rate (TPR) of 98.67%, surpassing the performance of baseline models by a significant margin. The results emphasize the capability of GANA-AO to enhance SMPH cybersecurity by promptly detecting and addressing malicious activities, protecting sensitive healthcare data, and ensuring patient safety. This paper not only introduces a robust technical solution but also highlights the vital significance of technology in safeguarding the digital boundaries of SMPH. By adopting cutting-edge approaches such as GANA-AO, we can establish a stronger and more adaptable system, promoting confidence and enabling patients in the digital era of healthcare.
      DOI : https://doi.org/10.52710/seejph.487
      PubDate: 2024-05-27
       
  • Measuring Efficiency and Effectiveness in Public Health Management:
           Methodologies and Applications

    • Authors: Ajit More, Swapnil Thorat, Swati Desai, Ramchandra Vasant Mahadik, Gandhali Vijay Kharge, Deepti Deshmukh
      Pages: 63 - 75
      Abstract: Efficient and successful measures are important for judging how well public health management systems work. To find out how efficient and effective public health management is, this study work looks at different methods and uses. Starting with a definition of efficiency and effectiveness in public health, highlighting how important they are for making the best use of resources and getting desired health results. For example, data envelopment analysis (DEA), stochastic frontier analysis (SFA), cost-effectiveness analysis (CEA), quality-adjusted life years (QALYs), and other related methods are used to measure these measurements. Furthermore, the essay talks about the problems and limits of figuring out how efficient and effective public health management is, including the lack of data, its poor quality, and the complexity of healthcare systems. Lastly, it shows how these methods have been used in the real world to review and improve public health management practices. This shows how important they are for helping make policy decisions and developing strategies for allocating resources.
      DOI : https://doi.org/10.52710/seejph.488
      PubDate: 2024-05-27
       
  • Leadership Styles and Their Impact on Health System Performance: A
           Comparative Analysis

    • Authors: Surya Ramdas, Mahua Bhowmik, Chitralekha Navneet Kumar, Sarita Sthul, Prashant Bansilal Patel, Dipali Hodade, Chandrakant Narayan Shende
      Pages: 76 - 89
      Abstract: Leadership that works in healthcare systems is very important for shaping the culture of the system, making sure patients get better care, and boosting total performance. The purpose of this study is to compare different types of leadership and how they affect the success of health systems. The traits, pros, and cons of different types of leadership, such as transformational, transactional, dynamic, and servant leadership, are looked at in this study by reviewing all the available literature. It also looks at how these leadership types show up in healthcare settings and how they affect important success measures like patient happiness, staff involvement, long-term financial viability, and quality of care. This paper combines real-life examples and case studies from different healthcare situations to show the best ways for leaders to improve the performance of health systems and deal with current problems in healthcare management.
      DOI : https://doi.org/10.52710/seejph.489
      PubDate: 2024-05-27
       
  • Utilization of Information Technology in Public Health Management: Trends
           and Challenges

    • Authors: Sachin Vishwasrao Ayarekar, Pramod Bajirao Pawar, Ramchandra Vasant Mahadik, Swati Desai, Anuradha Kiran Yesugade, Pallavi Devidas Chopade
      Pages: 90 - 103
      Abstract: Putting Information Technology (IT) into Public Health Management (PHM) has changed the way healthcare is provided by creating new ways to deal with difficult problems. This essay looks at current issues and trends in the use of IT in PHM, focusing on how it can help improve patient results and service performance. Recent trends show a move toward digitizing health information and using Electronic Health information (EHRs), which make it easier for healthcare workers to share data and work together. Telemedicine and mobile health apps have also made it easier for more people to get medical care, especially in places that are hard to reach or don't have enough doctors. Even with these improvements, there are still problems with how IT is used in PHM. There are big problems with storing and exchanging health data because of worries about privacy and security. Strong hacking means and following data protection rules like the Health Insurance Portability and Accountability Act (HIPAA) are needed to protect the privacy and safety of patient information. The digital gap is another problem. This is when some groups of people can't use technology or can't get their hands on it. To close this gap, we need creative solutions like community-based projects and relationships with tech companies. Additionally, the fast pace of technological progress means that healthcare workers need to keep learning and training to make sure they have the right skills to use IT successfully in PHM.
      DOI : https://doi.org/10.52710/seejph.490
      PubDate: 2024-05-27
       
  • Stakeholder Engagement and Collaboration in Health Policy Implementation:
           Lessons Learned

    • Authors: Mukesh Kumar, Vinati Vinati
      Pages: 104 - 119
      Abstract: Collaboration and involving stakeholders are very important for making sure that health policies are carried out well. This is because it makes sure that different points of view are taken into account and that solutions are made to fit the needs of all stakeholders. This essay talks about how important it is for stakeholders to be involved and work together in putting health policies into action, focusing on important tactics and problems. Engaging stakeholders in a meaningful way is important to make sure that health policies reflect the wants and needs of the people they serve. Getting people involved, like patients, healthcare workers, neighborhood groups, and government bodies, can help make health policies that are more inclusive and last longer. For health policy development to work, everyone involved needs to work together to solve problems and reach shared goals. Finding and figuring out stakeholders, encouraging open lines of communication, and including stakeholders in decision-making processes are some of the most important things that can be done to get stakeholders involved and work together. Getting people involved early on and regularly during the policy-making and delivery process can help build trust and agreement, which can lead to better results. Even though working together and involving stakeholders can be helpful, there are some problems that need to be solved. Some of these are balancing the different interests of parties, making sure that all points of view are fairly represented, and handling problems that may come up. Also, not having enough resources or ability can make it harder to effectively involve and work with stakeholders. To deal with these problems, it's important to make clear rules and standards for involving stakeholders, set up ways to settle disagreements, and make sure that stakeholders have the right tools and support to take part. Getting parties to work together and form strong networks can also help get around problems and make efforts to implement health policies more effective.
      DOI : https://doi.org/10.52710/seejph.491
      PubDate: 2024-05-27
       
  • Healthcare Workforce Management: Addressing Challenges in Recruitment,
           Retention, and Training

    • Authors: Pravin Mane, Yogesh Gurav, Aakash Yadav, Hrishikesh Bhagat, Anuradha Yesugade, Deepali Satish Pisal, Swapnil Thorat
      Pages: 120 - 134
      Abstract: The healthcare industry is having a hard time handling its workers, especially when it comes to hiring, keeping workers, and teaching them. This essay looks at the complicated problems that come up when managing the healthcare staff and suggests ways to fix them. By looking at a lot of current research and real-world examples, this paper finds the main reasons why it's hard to hire, keep employees, and train new ones in the healthcare business. Changes in the population, changed standards in the workplace, burnout, skill gaps, and the effects of technology are all talked about in great depth. This essay also looks at the successful strategies and new ideas that healthcare groups have used to deal with these problems. Strategies are looked at, such as focused hiring, programs to get employees involved, flexible work plans, chances to keep learning, and using technology for training. The paper also talks about how important it is for healthcare organizations, educational sources, and lawmakers to work together to find long-term answers for managing the healthcare workforce. Healthcare groups can make sure they have a skilled and driven staff to meet the changing needs of patients and the healthcare system as a whole by tackling these problems before they happen.
      DOI : https://doi.org/10.52710/seejph.492
      PubDate: 2024-05-27
       
  • Financial Management Practices in Public Health: Enhancing Sustainability
           and Accountability

    • Authors: Anishkumar N. Karia, Jaykar L. Jadhav, Pradip S Thombare, Ajit Goraksha Dalvi, Praveen P
      Pages: 135 - 145
      Abstract: In public health, managing money is important for making sure that programs last and people are held accountable. This study looks at some of the most important practices and tactics that can help public health organizations handle their money better, with a focus on making things more efficient, clear, and accountable. The research also looks at how technology and new ideas can improve the way financial management is done.Public health groups must use good money management to make the best use of their resources and reach their objectives. This research shows that making a budget, planning your finances, and keeping an eye on things are very important for making sure that resources are used correctly and efficiently. To stop fraud, waste, and abuse, it also stresses the need for strong internal rules and risk management.Public health groups need to be open and responsible if they want to keep the public's trust. This research looks at how important it is for organizations to give correct and up-to-date information to stakeholders about their financial success through financial reports and sharing. It also talks about the role of auditing and evaluating in making sure that best practices and laws are followed in financial management.Innovation and new technology can make it easier for public health organizations to handle their money better. This study talks about the possible advantages of using technology like blockchain, financial management software, and data analytics to make the processes of managing money more efficient, accurate, and open.
      DOI : https://doi.org/10.52710/seejph.493
      PubDate: 2024-05-27
       
  • Risk Management in Public Health Emergencies: Lessons from Recent
           Pandemics

    • Authors: Kiran S. Kale, Sanmath Shetty, Hema Mirji, Dhananjay Bhavsar, Amit Shrivastava, Praveen P
      Pages: 146 - 157
      Abstract: Drawing on what we've learned from recent pandemics, this study paper looks at how important risk management is when dealing with public health crises. Public health events, especially pandemics, put a lot of people at risk around the world. To lessen their effects, we need good risk management methods. This paper looks at recent pandemics like the COVID-19 pandemic, the H1N1 flu pandemic, and the Ebola outbreak to find the main problems and chances in managing risk during public health crises. This paper looks at a lot of literature, policy documents, and case studies to give a thorough look at the risk management models, tactics, and best practices that have been used during different public health situations. It also talks about how planning, cooperation, communication, and adaptability can help improve risk management and lessen the bad effects of pandemics. By putting together what we've learned from past mistakes, this paper gives lawmakers, public health officials, and other interested parties useful information and suggestions on how to improve risk management and get ready for future public health events.
      DOI : https://doi.org/10.52710/seejph.494
      PubDate: 2024-05-27
       
  • Integrating Data Analytics and Decision Support Systems in Public Health
           Management

    • Authors: Varun Choudhary, Anirudh Mehta, Kaushal Patel, Moazam Niaz, Mrunal Panwala, Urenna Nwagwu
      Pages: 158 - 172
      Abstract: For better data-driven decision-making and better health results, it is important for public health management to include data analytics and decision support systems (DSS). This abstract talks about why combining these tools is important and how they might affect public health management.Data analytics is an important part of public health because it uses big sets of data to find useful information for making decisions. By looking at patterns, trends, and connections in health data, public health managers can find new health problems, make good use of resources, and keep an eye on how well measures are working.As an addition to data analytics, decision support systems offer tools and models that make the decision-making process easier. Algorithms and models are used by these systems to look at data, make suggestions, and weigh possible results. This helps public health managers make smart choices in settings that are complicated and changeable.There are several perks to using both data analytics and DSS together in public health management. It makes decisions more accurate and reliable by giving real-time data and suggestions based on proof. It also helps plan and allocate resources better by finding groups at high risk and directing actions more effectively.Putting these tools together also helps public health managers handle public health situations better, like disease attacks or natural disasters. Using data analytics and DSS, public health agencies can quickly figure out what's going on, put resources where they're needed most, and keep real-time track of how measures are working.
      DOI : https://doi.org/10.52710/seejph.495
      PubDate: 2024-05-27
       
  • Hematological Parameters for COVID-19 Cases

    • Authors: N. J. Patil, Shefali Mishra, Kaushiki Varshney, Elham Mohammed Khatrawi
      Pages: 173 - 179
      Abstract: Over the past few decades, the Corona virus has emerged as a significant global health concern, leading to severe respiratory illness and long-term health complications. Thoroughly analyzing hematology indices helps medical professionals develop personalized treatment plans and deliver specialized care to patients in critical conditions. Identifying potentially life-threatening complications, such as disseminated intravascular coagulation, early on and intervening effectively can greatly enhance the patient's prognosis. According to a source, there is a reference to a specific point or piece of information. Therefore, the objective of this study was to assess the HT-P and their relationship with the clinical profile, enabling clinicians to determine the severity and prognosis of patients with COVID-19. Therefore, our study has led us to the conclusion that closely monitoring these levels is beneficial for effective patient management. By understanding the relationships between these parameters and clinical profiles, healthcare professionals are able to evaluate the severity and prognosis of individuals with COVID-19 illnesses.
      DOI : https://doi.org/10.52710/seejph.496
      PubDate: 2024-05-27
       
  • Role of Multidetector Computed Tomography in Evaluating Maxillofacial
           Injuries: A Comprehensive Study

    • Authors: Prakash Patil, Arjun Mittal, Samarth Shah, Honey Lunkad, Ankur Jethlia
      Pages: 180 - 187
      Abstract: Background: Maxillofacial trauma presents significant clinical challenges due to its impact on both physical appearance and mental well-being. Traditional imaging modalities, such as plain radiography, often fall short in providing detailed insights into complex facial fractures. This study aimed to evaluate the efficacy of multidetector computed tomography (CT) in the assessment of maxillofacial injuries, focusing on the benefits of 3D reconstructed images and comparing detection capabilities in axial and coronal planes. Methods: A total of 100 patients with a history of maxillofacial trauma and facial bone fractures were examined using multidetector CT. The data obtained were analyzed to assess the detection, extent, and displacement of various facial fractures across different imaging planes. Results: Multislice CT and 3D reconstructed images demonstrated superior capabilities in detecting and characterizing facial fractures compared to traditional axial and coronal CT scans. While 3D imaging excelled in detecting frontal and zygomatic bone fractures, axial and coronal scans were more effective in identifying fractures in the naso-orbito-ethmoid region and medial orbital wall. Conclusion: Multidetector CT, particularly when coupled with 3D reconstruction, offers a comprehensive and accurate imaging approach for evaluating maxillofacial injuries. Tailored imaging strategies, considering the specific injury location and complexity, are crucial for precise diagnosis and optimal treatment planning.
      DOI : https://doi.org/10.52710/seejph.497
      PubDate: 2024-05-27
       
  • The Study Design and Methodology of the Malta Eye Study (TMES), an
           Ophthalmic Epidemiology Study

    • Authors: David Agius, Julian Mamo, Christopher Hammond, Neville Calleja, Francis Carbonaro
      Pages: 188 - 200
      Abstract: Purpose: The Malta Eye Study (TMES) is a cross-sectional study of the adult Maltese population to determine the prevalence of visual impairment and the respective causative pathologies. The study's design and methods are discussed in this paper. Methods: A random sample of 5000 Maltese individuals aged 50–80 years, stratified by age, sex, and locality, are being invited for an ophthalmic assessment between September 2021 and May 2024. The validated tools of measurement include the National Eye Institute Visual Function Questionnaire, the EQ-5D-5L, the Ocular Surface Disease Index, and the Quick Mild Cognitive Impairment Score for assessments of visual function, quality of life, dry eye symptoms, and cognitive impairment, respectively. Other tools of measurement involve anthropometrics, visual acuity, autorefraction, keratometry, air-puff tonometry, Goldmann tonometry, slit lamp examination, fundus photography, swept-source optical coherence tomography (SSOCT) scanning of the macula and disc, as well as SSOCT angiography. A saliva sample is also collected for genetic analysis. Results: The data collection has assessed 1600 individuals up until the end of November 2023. Data from the first year of data collection has shown that the sample was representative in terms of age and gender. Conclusions: TMES uses up-to-date technology and tools to provide epidemiologic data on visual impairment, eye conditions, risk factors, and genetic associations. Knowledge of the local situation will help determine policymaking in terms of screening and primary and tertiary health care planning. TMES is also compiling a SSOCT angiography portfolio for the assessed participants. Financial Support: Research, Innovation and Development Trust of the University of Malta; Prohealth Ltd; Class Optical Conflict of Interest: None of the authors have any proprietary interests or conflicts of interest related to this submission. Acknowledgements: Dr John Cachia gave advice based on his previous Maltese ophthalmic epidemiological study. Dr George Farrugia, from the Department of Maltese, assisted in obtaining accurate back translations of the questionnaires into Maltese.  Mr Nicolai Schembri and Mr Christian Attard (University of Malta IT department) and Mr Stefan Attard (Department of Health Promotion) provided IT support. The staff and management of Mater Dei Hospital and the Department of Ophthalmology enabled the smooth running of this study.
      DOI : https://doi.org/10.52710/seejph.498
      PubDate: 2024-05-27
       
  • Application of SWOT Analysis to Assess Supervision of Primary Health Care
           Quality in Kosovo: A Qualitative Study

    • Authors: Ardita Baraku, Merita Berisha, Gordana Pavleković
      Pages: 201 - 211
      Abstract: Introduction: This study aimed at preparing the basis for informed decision-making for enhancing the quality of primary healthcare in Kosovo. Objectives: The objective was to answer which are the strengths, weaknesses, opportunities and threats (SWOT) surrounding quality supervision in Kosovo primary healthcare (PHC). Methods: A document review and deductive coding were applied to create a SWOT matrix. Cumulative voting of weight and ratings were applied and the total group scores were presented in a coordinate system. After drawing a vector, the risk zone, play zone or value zone were identified. Results: Strengths of supervising PHC quality are the internal quality mechanisms, the motivation of Quality Coordinators, and the administrative independence of the PHC organisations (total score 235/300). Weaknesses are a lack of continuous training/communication, a lack of support to perform duties and a lack of budget control (100/300). Opportunities are strategic interest in PHC, external quality mechanisms, and service purchasing (220/300). Threats are deficient responsive management, insufficient coordination by the Ministry of Health (MoH) and absence of accreditation (20/300). The graphic presentation revealed that Weaknesses and Threats fall into the risk zone [coordinate (100,20)]. Among them, the most inhibiting factors were deficient responsive management and insufficient coordination by the MoH, each having a partial score of 0, and requiring immediate attention. Conclusion: The SWOT analysis proved to be a useful method to identify factors impacting the supervision of PHC quality and offer evidence for initiating modification activities.
      DOI : https://doi.org/10.52710/seejph.499
      PubDate: 2024-05-27
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.200.140.218
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-
JournalTOCs
 
 
  Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (87 journals)
    - HEALTH AND SAFETY (686 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (358 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (112 journals)
    - PHYSICAL FITNESS AND HYGIENE (117 journals)
    - WOMEN'S HEALTH (82 journals)

HEALTH AND SAFETY (686 journals)

We no longer collect new content from this publisher because the publisher has forbidden systematic access to its RSS feeds.
Similar Journals
Similar Journals
HOME > Browse the 73 Subjects covered by JournalTOCs  
SubjectTotal Journals
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.200.140.218
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-