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.
•LGBTQ+ and non-LGBTQ+ youths rated brief, online interventions as equally acceptable.•Hopelessness, agency, and self-hate improved pre- to postprogram equally across groups.•LGBTQ+ youths view ...online single-session mental health supports as acceptable and useful.
Barriers such as stigma, financial costs, and provider shortages prevent large portions of youth with depression and related difficulties from accessing treatment; lesbian, gay, bisexual, transgender, queer/questioning sexual orientation, or other non-heterosexual identity (LGBTQ+) youth are burdened with additional barriers related to minority stress. Single-session interventions (SSIs) have been found to benefit youth and help reduce depression symptoms, and since many SSIs are brief, cost-free, and accessible online, they may circumvent several access barriers. However, prior to recommending non-community-tailored SSIs as a useful resource for minoritized youths, we first assessed whether LGBTQ+ youth respond as positively to SSIs as do cisgender heterosexual youth. In a subsample of youths recruited via online advertisements from September 2019 to August 2020 (N = 258, 81.4% female-assigned sex at birth, 60.5% LGBTQ+, 47.3% youth of color), we investigated whether changes in hopelessness, agency, and self-hate from before to after completing online self-directed SSIs differed as a function of LGBTQ+ identity. We also quantitatively and qualitatively compared intervention acceptability ratings and feedback across LGBTQ+ and cisgender heterosexual youths. Analyses revealed no significant differences between cisgender LGBQ+, trans and gender diverse, and cisgender heterosexual youths for any intervention outcomes. Likewise, no group differences emerged in intervention acceptability ratings or written program feedback. Self-selection bias and underrepresentation of certain populations, such as American Indian and Alaskan Native youths, may limit generalizability of results. Results suggest that online mental health SSIs are equally acceptable and useful to LGBTQ+ and cisgender heterosexual youth alike, even prior to culturally specific tailoring.
Surgical site infections Liston, James; Bayles, Andrew
Surgery (Oxford),
February 2023, 2023-02-00, Letnik:
41, Številka:
2
Journal Article
Recenzirano
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 study explored the validity of the Social Skills Improvement System‐Rating Scales (SSIS‐RS) in a sample of over 4,000 preschool children (aged 3–5 years old) in China. Multiple approaches were ...used to examine the validity of SSIS‐RS in the Chinese cultural context, including confirmatory factor analysis, convergent and discriminant validity evidence with external measures of learning and developmental outcomes, and internal consistency reliability estimates. The findings supported the SSIS‐RS 7‐factor structure (i.e., communication, cooperation, assertion, engagement, responsibility, empathy, and self‐control) when applied in the Chinese context, and provided strong empirical evidence that SSIS‐RS is a psychometrically sound measure for assessing the social skills of Chinese children. The latent profile analysis was used to provide a descriptive picture of the patterns of different social skills measured by SSIS‐RS among Chinese preschool children. Four classes best described the social skills presentations of children in this study: Lowest Social Skills (14%), Relatively Low Social Skills (41%), Relatively High Social skills (35%), and Highest Social Skills (10%). Implications for intervention practice and future research are discussed.
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.
