Recently, the mobile health care (m-healthcare) applications with Internet of Things (IoT) are providing the various dimensionalities and the online services. These applications have provided a new ...platform to the millions of people for getting benefit over the health tips frequently for living a healthy life. After the introduction of IoT technology and the related devices which are used in medical field, strengthened the various features of these healthcare online applications. The huge volume of big data is generated by IoT devices in healthcare environment. Cloud computing technology is used to handle the large volume of data and also provide the ease of use. In this scenario, cloud based applications are playing major role in this fast world. These medical applications are also used the Cloud Computing technology for secured storage and accessibility. For availing better services to the people over the online healthcare applications, we propose a new Cloud and IoT based Mobile Health care application for monitoring and diagnosing the serious diseases. Here, a new framework is developed for the public. In this work, a new systematic approach is used for the diabetes diseases and the related medical data is generated by using the UCI Repository dataset and the medical sensors for predicting the people who has affected with diabetes severely. In addition, we propose a new classification algorithm called Fuzzy Rule based Neural Classifier for diagnosing the disease and the severity. The experiments have been conducted by the standard UCI Repository dataset and the real health records which are collected from various hospitals. The experimental results show that the performance of the proposed work which outperforms the existing systems for disease prediction.
Purpose of Research: This study intends to investigate the numerous factors that influence the public relations drivers in the operations of small-scale industries in India, as well as the effect of ...PR activities on the growth variables of SSIs.
Theoretical framework: Yet India's small-scale manufacturers struggle with large-scale selling and marketing activities. SSIs cannot afford expensive advertising and adequate distribution of goods, therefore PR can be cheaper and more effective (Adrian, Jamilah, & Ahmad, 2015). SSI owners must focus online as lifestyles and shopping patterns change (Widiastini et al., 2023) Promoting the industry and its products, creating relationships with key actors, and regulating communication might assist overcome these hurdles. A good PR can assist SSI in competing with larger companies (Thirumal, 2013). PR factors and Indian SSI growth must be examined.
Design/ Methodology/ Approach: The quantitative study used primary and secondary data to gather all relevant data. Standardised questionnaires and interviews will capture primary data. Madhya Pradesh SSI owners and founders will represent. Examine 500 people with cluster sampling Technique.
Findings: As a Result, identity media, publications, events, the internet, sponsorship, and public service activities are all significant determinants of SSI expansion in India. Researchers examined the global effect of public relations initiatives (except identity media) on the expansion of SSI in India (Special reference to Madhya Pradesh.
Research, Practical & Social Implications: Future research, SSIs, and India are affected by the study on public relations and SSIs. Other factors affecting public relations success can be studied and assessment tools developed. SSIs should invest in PR, stakeholder relations, and strategy to grow.
Originality/Value: This study's novelty and significance reside in its understanding of the aspects that affect public relations' promotion of India's small-scale industries (SSIs). By identifying public relations success criteria, this study helps SSIs improve brand image, visibility, and customer acquisition. This study's SSI implications can assist India's small business sector grow, providing jobs, economic activity, and better living conditions.
In the last few years, the m-healthcare applications based on Internet of Things (IoT) have provided multi-dimensional features and real-time services. These applications provide a platform to ...millions of people to get health updates regularly for a healthier lifestyle. Induction of IoT devices in the healthcare environment have revitalized multiple features of these applications. The big data generated by IoT devices in healthcare domain is analyzed on the cloud instead of solely relying on limited storage and computation resources of handheld devices. Relative to this context, a cloud-centric IoT basedm-healthcare monitoring disease diagnosing framework is proposed which predicts the potential disease with its level of severity. Key terminologies are defined to generate user-oriented health measurements by exploring the concept of computational sciences. The architectural prototype for smart student healthcare is designed for application scenario. The results are computed after processing the health measurements in a specific context. In our case study, systematic student perspective health data is generated using UCI dataset and medical sensors to predict the student with different disease severity. Diagnosis schemes are applied using various state-of-the-art classification algorithms and the results are computed based on accuracy, sensitivity, specificity, and F-measure. Experimental results show that the proposed methodology outperforms the baseline methods for disease prediction.
•Proposing fog assisted IoT enabled disease diagnosis framework for the m-health perspective.•Forming a health diagnosis system at server side for computing User Diagnosis Results (UDR).•Handling the disease severity by adopting alert generation mechanism.•Developing a smart student interactive diagnosing system for disease prediction.•Comparing various state-of-the-art classifiers in the current domain for determining the best classifier for particular disease.
Objectives:
In Australia, the prevalence of SSI is 3.6%, with a particularly high burden in colorectal procedures of 8.7%. ChloraPrep (2% chlorhexidine gluconate (CHG)–70% isopropyl alcohol ...formulation) is a preoperative sterile alcoholic CHG solution prefilled in a ready-to-use applicator. We compared the costs and SSI outcomes of adopting ChloraPrep versus a bulk aqueous povidone iodine (PVI) solution for colorectal procedures in a public hospital setting.
Methods:
We used a budget-impact tool to evaluate the clinical and economic impacts of skin preparation methods. The PVI SSI rate was assumed to be the baseline rate observed in Australia (8.7%). The ChloraPrep SSI rate was derived by applying the demonstrated ChloraPrep SSI reduction versus PVI (41%) to the PVI SSI rate. The cost of ChloraPrep was AU$8 (US $5.50) and the cost of PVI solution was AU$3 (US $2). The PVI equipment cost AU$2.13 (US $1.47). Additional average length of stay was 9.4 days, and the daily average cost was AU$2,347 (US $1,618). The average skin preparation time was 3.5 minutes using ChloraPrep and 8.5 minutes using PVI. The hospital-acquired complication (HAC) penalty for SSI was calculated using the national efficient price (AU $5,797 or US $3,996), national weighted activity unit (4.6261), and adjustment rate for patient complexity levels (high, 4.8%; moderate, 5.9%; and low, 7.9%).
Results:
The model estimated SSI rates were 5.1% using ChloraPrep and 8.7% for PVI. For every 1,000 patients, skin preparation cost was estimated to be AU$8,100 (US $5.583) using ChloraPrep and AU$5,200 (US $3.585) using PVI. SSI treatment cost was estimated to be AU$449,900 (US $310,127) for ChloraPrep and AU$762,500 (US $525,610) for PVI. In addition, 330 bed days could be avoided and at least 80 operating room hours could be saved with 35 SSIs avoided. With 35 SSIs avoided, a potential reduction of AU$26,500 (US $18,267) in HAC penalty could be expected. This intervention could yield an overall cost savings of AU$336,300 (US $231,820).
Conclusions:
Using ChloraPrep for skin preparation prior to colorectal procedures could result in lower SSI rates and cost savings from treating fewer SSIs. Operational efficiency might also be improved.
Surgical site infections Liston, James; Bayles, Andrew
Surgery (Oxford),
February 2023, 2023-02-00, Volume:
41, Issue:
2
Journal Article
Peer reviewed
Surgical site infections (SSIs) are infections at the site of surgery within 30 or 90 days of the operation, depending on the procedure. They are a significant complication of both elective and ...emergency surgery and are the second highest cause of hospital-acquired infections. They have a huge cost to the NHS and lead to increased morbidity and mortality. Significant research has been done to find the causes and help create solutions, culminating in international guidelines published by the World Health Organization (WHO) in 2016. This article will discuss the different types of SSIs, the common causes and infective organisms and what the WHO have suggested we can do to prevent them.
The SSIS SEL Brief + Mental Health Scales (SSIS SELb+MHS) are multi-informant assessments developed in the United States to assess the social and emotional learning (SEL) competencies and emotional ...behavior concerns (EBCs) of school-age youth. Although there are translations of the SEL items of the SSIS SELb+MHS available in other languages, a German translation has never been completed and validated, despite the growing need for SEL and mental health assessment in German-speaking countries. To address this need, this study’s primary purpose was the examination of a German translation of the assessment with a specific focus on measurement invariance and concurrent validity invariance testing with 821 3rd through 6th-grade students in Austria and Germany. Results indicated that the SELb+MHS items clustered into 2 SEL factors and 2 EBC factors. With regard to measurement invariance, the SELb+MHS functioned similarly across both Austria and Germany and full scalar invariance was achieved. Additionally, the overall pattern of concurrent validity relationships was as expected and similar across countries. Implications and future directions are discussed.
The SSIS SEL Brief Scales (SSIS SEL
b
) are multi-informant (teacher, parent, and student) measures that were developed to efficiently assess the SEL competencies of school-age youth in the United ...States. Recently, the SSIS SEL
b
was translated into multiple languages for use in a multi-site study across six European countries (Croatia, Greece, Italy, Latvia, Portugal, and Romania). The purpose of the current study was to examine concurrent and predictive evidence for the SEL Composite scores from the translated versions of the SSIS SEL
b
Scales. Results indicated that SSIS SEL
b
Composite scores demonstrated expected positive concurrent and predictive relationships with scores from the Connor-Davidson Resilience Scale (CD-RISC) and negative relationships with scores from the problem behavior scales of the Strengths and Difficulties Questionnaire (SDQ). Although there were a few exceptions, these patterns generally were consistent across informants (parents, teachers, and students) and samples providing initial validity evidence for the Composite score from the translated versions of the SSIS SEL
b
Scales. Limitations and future research directions are discussed.
Objectives:
Based on Sardjito Hospital surveillance data in 2020, the incidence of SSI in orthopedic implant surgery was 46 cases (4.7%), mostly in the outpatient clinic. We evaluated some of the ...potential risks and proposed redesign of infection prevention and control measures in April 2021 to improve the overall clean care at the orthopedic outpatient clinic.
Methods:
We conducted an operational study to redesign various components of clean care using a before-and-after evaluation of infection risk. The study was led by an IPC nurse and was supported by all levels of stakeholders at Sardjito Hospital, a referral and academic hospital in Yogyakarta, Indonesia, during May–September 2021.
Results:
The redesigned components covered continuing professional development (CPD) through a workshop on clean care and wound care for doctors and nurses. The workshop also encouraged high-level management to make several important changes: (1) to redistribute medical staff schedules, (2) to start online patient registration to better distribute and decrease patient loads, (3) to set up the waiting room as well as the dressing room with strictly separate between dirty and clean areas, (4) to schedule daily general disinfection at noon during service hours, and (5) to perform routine air disinfection after daily clinic services as well as placing an additional portable HEPA filter for continuous air disinfection. After the these changes, during 2021, 7 SSIs occurred among postoperative orthopedic implant patients, a decrease of 85%. We observed more clean and neat rooms without patient overcrowding as well as easy and comfortable flow of patients and staff. Environmental pathogen germ counts decreased significantly.
Conclusions:
A redesign project at the orthopedic outpatient clinic reduced the incidence of postoperative SSIs and reduced the number of environmental pathogens. Overall clean care is a basic strategy in IPC for improving patient safety.
