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Bettering well being outcomes via concurrent HIV plan scale-up along with well being technique development in Rwanda: 2 decades of experience.
Vaccination is the primary preventive measure against the COVID-19 infection, and an additional vaccine dosage is crucial to increase the immunity level of the community. However, public bias, as reflected on social media, may have a significant impact on the vaccination program. We aim to investigate the attitudes to the COVID-19 vaccination booster in Malaysia by using sentiment analysis. We retrieved 788 tweets containing COVID-19 vaccine booster keywords and identified the common topics discussed in tweets that related to the booster by using latent Dirichlet allocation (LDA) and performed sentiment analysis to understand the determinants for the sentiments to receiving the vaccination booster in Malaysia. We identified three important LDA topics (1) type of vaccination booster; (2) effects of vaccination booster; (3) vaccination program operation. The type of vaccination further transformed into attributes of "az", "pfizer", "sinovac", and "mix" for determinants' assessments. Effect and type of vaccine booster associated stronger than program operation topic for the sentiments, and "pfizer" and "mix" were the strongest determinants of the tweet's sentiments after the Boruta feature selection and validated from the performance of regression analysis. This study provided a comprehensive workflow to retrieve and identify important healthcare topic from social media.Thrombophilia, also called hypercoagulability or prothrombotic condition, usually reflects a certain imbalance that occurs either in the coagulation cascade or in the anticoagulation/fibrinolytic system. A similar imbalance may be induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Thrombotic complications are associated with multiorgan failure and increased mortality. In this context, activation of coagulation and thrombocytopenia appeared as prognostic markers in COVID-19. Our work provides a structured and updated analysis of inherited thrombophilia and its involvement in COVID-19, emphasizing the importance of diagnosing and initiating thromboprophylaxis. Since the state of hypercoagulation is directly correlated with COVID-19, we consider that studies on the genetic profiles of proteins involved in thrombophilia in patients who have had COVID-19 and thrombotic events are of great importance, both in treating and in preventing deaths due to COVID-19.Substandard care, which can result from a delayed recognition of the severity of blood loss, can increase maternal morbidity. Our objectives were to assess the incidence of postpartum hemorrhage (PPH) and of second-line procedures in maternity units according to the quality of their PPH protocol. We used a mixed design, a prospective cohort (3442 women with PPH after vaginal delivery; February-July 2011), and an audit of the written protocols (177 French maternity units; September 2010-June 2011). A quality score was calculated for the protocol of each unit. Maternity units were classified into three categories according to this score category 1 (total score 0-8), category 2 (9-12.5), and category 3 (>12.5). The PPH incidence (>500 mL) was 3.2%, 3.3% and 4.6% among maternity units in categories 1, 2 and 3, respectively (p < 0.0001). The incidence of severe maternal morbidity (surgery and/or artery embolization and/or blood transfusion) was higher among maternity units in category 1 (54.8%; 95% CI 51.9, 57.7) than in either category 2 (50.1%; 95% CI 47.8, 52.5) or 3 (38.0%; 95% CI 33.8, 42.4]) (p < 0.0001). The risks of severe maternal morbidity were lower for category 3 than category 1 and 2 (respectively, adjusted RR 0.68, 95% CI 0.60-0.86 and 0.77, 95% CI 0.68-0.87). Finally, maternity units with higher scores identified PPH better and used fewer curative second-line procedures.For the optimal growth and development of high-quality professional nursing care for hospitalized children, a partnership between pediatric nurses and parents within the context of the family is essential. The aim of the present study was to evaluate the factorial validity of the Pediatric Nurse Parent Partnership Scale for hospital pediatric nurses (PNPPS-PN) and to investigate the associations of its components with the Nursing Professional Value Scale and Compassion Competence Scale. This study used survey data from 236 pediatric nurses collected between March and June 2019. The seven-factor structure showed an acceptable to good fit in the confirmatory factor analysis, and the scale correlated as expected with measures of compassion competence and nursing professional values. The Cronbach's α for the scale was 0.89, indicating good internal consistency reliability. The PNPPS-PN is a psychometrically sound instrument for assessing pediatric nurse-reported partnerships between pediatric nurses and parents in hospital settings.
Fitness is a powerful marker of health associated with physical activity (PA) in university students. However, insufficient PA is a serious health concern among university students. Active commuting provides an opportunity for increased PA levels. Therefore, the aims of this study were (a) to describe the mode of commuting, PA and fitness in university students; (b) to analyze the associations of mode of commuting with PA and fitness; and c) to analyze the relationship between mode of commuting, PA recommendations and fitness.

This was a cross-sectional study. A total of 1257 university students (52.4% women) participated (22.4 ± 5.6 years old).

Public commuting was the main mode to and from university. Active and public commuters were more likely to meet the PA recommendations and reported higher muscular strength than those using private commuting. Active and public commuters who met PA recommendations present the highest fitness in most of its components.

Achieving the PA recommendations was more relevant than adopting an active mode of commuting in order to have better fitness. Tretinoin research buy Further research targeting a broader understanding of the mode of commuting, PA levels and fitness in university students is needed.
Achieving the PA recommendations was more relevant than adopting an active mode of commuting in order to have better fitness. Further research targeting a broader understanding of the mode of commuting, PA levels and fitness in university students is needed.The inadequate and abusive usage of psychoactive substances is something real that affects Brazil's elderly population, and it is a huge challenge for the public health system and its professionals. Aware of the social impact involving the use of illegal drugs, in 2002, the Ministry of Health instituted a network of psychosocial assistance as a strategy to deal with the problem. This study carried out an analysis of the profile of use of legal and illegal drugs by the elderly who are assisted by the network of psychosocial assistance in the Federal District. A quantitative and analytical study with secondary data collection, using patient records held in the CAPS-AD in the Federal District. The inclusion criteria were people of 60 and over who were users of alcohol and other drugs and who sought assistance at CAPS-AD between 2000 and 2017. A total of 408 medical records were analyzed concerning social demographic variations, types of rehabilitation services sought, types of substances consumed, associations between drugs consumed, time of consumption, and adherence to the treatment. Most of the elderly users were male (85.3%), on average 64 ± 4.42 years old. Regarding the drugs consumed, the highest quantity was for illegal substances (76%), compared to the legal ones (23%). No significant difference was found between males (OR = 1.1) and females (OR = 0.74) regarding the use or abuse of multiple drugs. The elderly used both legal and illegal drugs for a long period of time, with low adherence to the treatment, and alcohol consumption among the elderly prevailed above the other psychoactive substances.Pneumonia is a common disease that occurs in many countries, more specifically, in poor countries. This disease is an obstructive pneumonia which has the same impression on pulmonary radiographs as other pulmonary diseases, which makes it hard to distinguish even for medical radiologists. Lately, image processing and deep learning models are established to rapidly and precisely diagnose pneumonia disease. In this research, we have predicted pneumonia diseases dependably from the X-ray images, employing image segmentation and machine learning models. A public labelled database is utilized with 4000 pneumonia disease X-rays and 4000 healthy X-rays. ImgNet and SqueezeNet are utilized for transfer learning from their previous computed weights. The proposed deep learning models are trained for classifying pneumonia and non-pneumonia cases. The following processes are presented in this paper X-ray segmentation utilizing BoxENet architecture, X-ray classification utilizing the segmented chest images. We propose the improved BoxENet model by incorporating transfer learning from both ImgNet and SqueezeNet using a majority fusion model. Performance metrics such as accuracy, specificity, sensitivity and Dice are evaluated. The proposed Improved BoxENet model outperforms the other models in binary and multi-classification models. Additionally, the Improved BoxENet has higher speed compared to other models in both training and classification.Malnutrition and frailty are common conditions that impact overall health and function. There is limited research exploring the barriers and enablers to providing coordinated nutrition care to malnourished or frail clients in the community (including transitions from hospital). This study aimed to explore dietitians' experiences and perspectives on providing coordinated nutrition care for frail and malnourished clients identified in the community or being discharged from hospital. Semi-structured interviews with clinical/acute, community, and aged care dietitians across Australia and New Zealand were conducted. Interviews were 23-61 min long, audio recorded and transcribed verbatim. Data were analysed using inductive thematic analysis. Eighteen dietitians participated in interviews, including five clinical, eleven community, and two residential aged care dietitians. Three themes, describing key factors influencing the transition and coordination of nutrition care, emerged from the analysis (i) referral and discharge planning practices, processes, and quality; (ii) dynamics and functions within the multidisciplinary team; and (iii) availability of community nutrition services. Guidelines advising on referral pathways for malnourished/frail clients, improved communication between acute and community dietitians and within the multidisciplinary team, and solutions for community dietetic resource shortages are required to improve the delivery of coordinated nutrition care to at-risk clients.
Fatigue is one of the most common symptoms in patients with multiple sclerosis (MS), and has a major impact on their quality of life. Measurement tools that assess the patient's condition are commonly used in the neurological field, though diagnostic tools are currently unable to distinguish potential alternative causes of fatigue in individual patients. The Revised Piper Fatigue Scale (PFS-R) is a self-administered assessment scale that is internationally used for fatigue measurement.

This study aimed to evaluate the reliability and validity of the Italian version of the PFS-R in patients with MS.

Forty-one individuals were included in this study. Each participant in the study was given a dossier, in paper format, containing the informed consent form, a personal data sheet, the Fatigue Symptoms and Impacts Questionnaire in Relapsing Multiple Sclerosis (FSIQ-RMS), the Fatigue Severity Scale (FSS), and the PFS-R.

The PFS-R was found to have strong internal consistency, with a value of α equal to 0.977.
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