Leveraging electrocardiography signals for deep learning-driven cardiovascular disease classification model.

Electrocardiography (ECG) is the most non-invasive diagnostic tool for cardiovascular diseases (CVDs). Automatic analysis of ECG signals assists in accurately and rapidly detecting life-threatening arrhythmias like atrioventricular blockage, atrial fibrillation, ventricular tachycardia, etc. The ECG recognition models need to utilize algorithms to detect various kinds of waveforms in the ECG and identify complicated relationships over time. However, the high variability of wave morphology among patients and noise are challenging issues. Physicians frequently utilize automated ECG abnormality recognition models to classify long-term ECG signals. Recently, deep learning (DL) models can be used to achieve enhanced ECG recognition accuracy in the healthcare decision making system. In this aspect, this study introduces an automated DL enabled ECG signal recognition (ADL-ECGSR) technique for CVD detection and classification. The ADL-ECGSR technique employs three most important subprocesses: pre-processed, feature extraction, parameter tuning, and classification. Besides, the ADL-ECGSR technique involves the design of a bidirectional long short-term memory (BiLSTM) based feature extractor, and the Adamax optimizer is utilized to optimize the trained method of the BiLSTM model. Finally, the dragonfly algorithm (DFA) with a stacked sparse autoencoder (SSAE) module is applied to recognize and classify EEG signals. An extensive range of simulations occur on benchmark PTB-XL datasets to validate the enhanced ECG recognition efficiency. The comparative analysis of the ADL-ECGSR methodology showed a remarkable performance of 91.24 % on the existing methods.

A secure data transmission framework for IoT enabled healthcare.

The Internet of Medical Things (IoMT) has transformed healthcare by connecting medical devices, sensors, and patients, significantly improving patient care. However, the sensitive data exchanged through IoMT is vulnerable to security attacks, raising serious privacy concerns. Traditional key sharing mechanisms are susceptible to compromise, posing risks to data integrity. This paper proposes a Timestamp-based Secret Key Generation (T-SKG) scheme for resource-constrained devices, generating a secret key at the patient's device and regenerating it at the doctor's device, thus eliminating direct key sharing and minimizing key compromise risks. Simulation results using MATLAB and Java demonstrate the T-SKG scheme's resilience against guessing, birthday, and brute force attacks. Specifically, there is only a 9 % chance of key compromise in a guessing attack if the attacker knows the key sequence pattern, while the scheme remains secure against brute force and birthday attacks within a specified timeframe. The T-SKG scheme is integrated into a healthcare framework to securely transmit health vitals collected using the MySignals sensor kit. For confidentiality, the Data Encryption Standard (DES) with various Cipher Block modes (ECB, CBC, CTR) is employed.

Vaccination status, awareness, and its correlates among healthcare workers in the Delhi-National Capital Region (NCR): a mixed-method study.

Introduction: Healthcare workers (HCWs) are on the frontline of infections. To safeguard HCWs from occupational exposure to infections and to curb nosocomial infection a set of vaccines has been recommended for them by the WHO. Hence, we aimed to assess the vaccination status, awareness, and its correlates amongst HCWs in the Delhi-NCR. Method: The study used a cross-sectional mixed-method approach from January to April 2023. For the quantitative arm, a structured questionnaire was circulated to the participants in conveniently-selected private and government tertiary care hospitals of the Delhi-NCR, both through e-survey using Google form, and in person, data were collected on socio-demographics, vaccination status, and awareness. SPSS version 25 was used for the analysis. For the qualitative arm, in-depth interviews were conducted and data were analyzed manually. Results: Out of 387 participants (62.8% males, 37.2% females), the awareness about the vaccines recommended for HCWs was 64.1%. However, only 15.3% of HCWs were completely aware of all the recommended vaccines. SARS CoV-2, Polio, Hepatitis B, and BCG had the highest vaccination coverage, 97.4%, 87.9%, 83.7%, and 50.9%, respectively. It was found that gender, education, type (private or governmental) of tertiary care hospital, and profession had a significance (p<0.05) on the vaccination status score and awareness of all WHO-recommended vaccines (AOR=7.6, 95% CI, 3.24-18.0). The qualitative arm further augmented the findings. Conclusion: The study reveals insufficient awareness and vaccination status regarding recommended vaccines. Prioritizing the preparation of unified standard guidelines for Indian HCWs and involving concerned stakeholders is crucial.

Assessment of the knowledge of healthcare workers on monkeypox in Nigeria.

Background: Monkeypox, a re-emerging zoonotic disease caused by the monkeypox virus (MPXV), poses a public health challenge in Nigeria. To effectively combat this disease, it is essential to assess the knowledge of healthcare workers (HCWs) in Nigeria concerning monkeypox outbreak. Methods: A cross-sectional web-based survey with 609 healthcare workers in Nigeria was conducted using a structured questionnaire to assess their knowledge of monkeypox. Data were coded and analyzed with Microsoft Excel and Python in Anaconda Jupyter Notebook. Results: The majority of respondents (n=318, 52.2%) had good knowledge of MPXV but also had knowledge gaps regarding certain symptoms and disease similarities. Interestingly, respondents were completely unaware of the possibility of sexual transmission of the disease. However, they recognized the possible significant impact of monkeypox on the social and economic lifestyle of Nigerians (n=582, 95.6%, adjOR=21.181, 95% CI: 14.450-31.051). Respondents had mixed knowledge regarding the use of smallpox vaccines and antiviral agents for monkeypox prevention and treatment. Furthermore, a significant proportion (n=526, 86.4%, adjOR=0.159, 95% CI: 0.126-0.201) attributed the outbreak to bioterrorism. The logistic regression highlighted a strong influence of academic qualification, type of healthcare provider, years of experience, and geopolitical zone of practice, on monkeypox knowledge in Nigeria. Conclusion: The study highlights the importance of continuous education for healthcare professionals in Nigeria to improve monkeypox outbreak management. Despite their moderate performance, there are knowledge gaps in critical areas among HCWs, necessitating further research to explore reasons and influencing factors for knowledge levels.

What are the home care needs of Chinese healthcare workers: a latent class analysis.

Background: The aging population has led to a surge in demand for home care, which has developed rapidly in China in recent years. However, there has been less empirical research into the needs of healthcare workers about providing home care. The purpose of this study was to explore the latent classes of healthcare workers' needs in primary health care institutions and to identify associated factors. Methods: From August 2021 to June 2022, a convenience sampling method was adopted to conduct a questionnaire survey on the workers of 62 primary healthcare institutions in Sichuan Province. Latent class analysis was used to categorize home care needs by Mplus 8.3. Multinomial logistic regression analysis was adopted to explore the influencing factors using SPSS 25.0. Results: A total of 1,152 healthcare workers were included in the study. Their needs for home care were classified into four latent classes: overall high need group (18.0%); overall low need group (34.8%); high training and low support need group (29.9%), and the high security and low training need group (17.3%). The factors influencing the different need categories included working area, professional title, role of medical workers, had participated in training about home care, and feelings about home care, with Class 1 as the reference group. Conclusion: Our findings indicate that primary healthcare workers have multifaceted needs for providing home care. Paying attention to their diverse needs can help optimize home care and enhance service capacity. Exploring the factors affecting needs can provide targeted support to healthcare workers to ensure the quality and continuity of home care services.

Efficacy of trametinib in a metastatic urothelial carcinoma patient with a BRAF mutation.

Introduction: BRAF mutations in bladder cancer are rare. MEK inhibitors have excellent clinical benefits in the treatment of melanoma. Case presentation: A 60-year-old male was diagnosed with muscle-invasive bladder cancer and underwent total cystectomy and ileal conduit diversion. Despite 4 cycles of gemcitabine and cisplatin chemotherapy and 3 courses of pembrolizumab, the left obturator lymph node enlarged. Cancer multi-gene panel testing confirmed the BRAF G469A mutation and trametinib was recommended. Three months after the initiation of trametinib (2 mg, qd), the left obturator lymph node shrank by more than 50%. The disease has remained stable for more than 18 months. Conclusion: The present case indicates the potential of trametinib to treat mBUC patients with the BRAF G469A mutation in this setting.

Assessing the Quality and Reliability of AI-Generated Responses to Common Hypertension Queries.

INTRODUCTION: The integration of artificial intelligence (AI) in healthcare, particularly through language models like ChatGPT and ChatSonic, has gained substantial attention. This article explores the utilization of these AI models to address patient queries related to hypertension, emphasizing their potential to enhance health literacy and disease understanding. The study aims to compare the quality and reliability of responses generated by ChatGPT and ChatSonic in addressing common patient queries about hypertension and evaluate these AI models using the Global Quality Scale (GQS) and the Modified DISCERN scale. METHODS: A virtual cross-sectional observational study was conducted over one month, starting in October 2023. Ten common patient queries regarding hypertension were presented to ChatGPT (https://chat.openai.com/) and ChatSonic (https://writesonic.com/chat), and the responses were recorded. Two internal medicine physicians assessed the responses using the GQS and the Modified DISCERN scale. Statistical analysis included Cohen's Kappa values for inter-rater agreement. RESULTS: The study evaluated responses from ChatGPT and ChatSonic for 10 patient queries. Assessors observed variations in the quality and reliability assessments between the two AI models. Cohen's Kappa values indicated minimal agreement between the evaluators for both the GQS and Modified DISCERN scale. CONCLUSIONS: This study highlights the variations in the assessment of responses generated by ChatGPT and ChatSonic for hypertension-related queries. The findings highlight the need for ongoing monitoring and fact-checking of AI-generated responses.

Depression Screening as a Part of the Employees' Annual Checkup Using a Two-Step Approach at King Khalid University Hospital, Riyadh, Saudi Arabia.

Introduction Health professionals experience high levels of work-related stress; hence, the study of depression among healthcare workers (HCWs) is essential to improve patient care, prevent burnout, and retain a skilled workforce as well as reduce stigma, enhance workplace productivity, and promote overall well-being. This study aimed to estimate the prevalence of depression and associated factors among HCWs at King Khalid University Hospital, Riyadh, Saudi Arabia. Methods We conducted a cross-sectional study among HCWs at King Khalid University Hospital. All healthcare workers required to renew their contract annually were given a Patient Health Questionnaire 2 (PHQ2) tool for screening for depression; if their score was three or more, a Patient Health Questionnaire 9 (PHQ9) tool was given along with additional questions including demographic, profession-related factors, and stressor presence in different life dimensions. Results In total, 69 HCWs filled out the screening survey (PHQ9). Most were females (n=57; 82.6%), with 36 (52.2%) aged 35 years or below. Five (7.2%) HCWs reported a family history of mental illness. The prevalence of major depressive disorders among HCWs was 29 (42%). Conclusions Younger HCWs who smoked and had no children were more susceptible to depression. Annual psychological screenings for HCWs could be beneficial for monitoring staff vulnerable to mental health disorders. We need a future multicenter study approach to confirm the prevalence of major depression in our region.

Healthcare providers' knowledge, attitude, and practice towards cervical cancer screening in Sub-Saharan Africa: systematic review and meta-analysis.

Introduction: Cervical cancer is a prevalent cancer among women in low and middle-income countries, but it can be largely prevented through screening programs and HPV vaccination. This study aimed to determine the level of knowledge, attitudes, and practices regarding cervical cancer screening among healthcare providers in Sub-Saharan African countries. Methods: Systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Relevant databases including PubMed, Cochrane Library, AJOL, Google Scholar, and ScienceDirect databases were used to retrieve and search articles. The study included published and unpublished research written in English between January 2013 and May 16, 2024 for studies reporting knowledge, attitude, and practice towards cervical cancer screening among healthcare providers in Sub-Saharan Africa. This review has been registered on PROSPERO. The heterogeneity of the data was evaluated using the I2 statistic. A meta-analysis was conducted using STATA 17 software, with a 95% confidence interval. The researchers also conducted publication bias and sensitivity analysis. Results: The review included 30 studies involving 7542 healthcare providers. The pooled magnitude of good knowledge status towards cervical cancer was 67.93% (95% CI: 53.36-82.50) whereas the pooled magnitude of positive attitude towards cervical cancer was 55.26% (95% CI: 34.28- 76.23). The results also showed that about 49.68% (95% CI: 33.18-66.17) of healthcare providers had good knowledge status about cervical cancer screening, 66.63%(95% CI: 50.36- 82.89) had a positive attitude towards it, and only 17.23% (95% CI; 6.08-28.37) had ever screened for cervical cancer. Conclusion: The overall magnitude of knowledge and attitude of healthcare providers in Sub-Saharan Africa towards cervical cancer and its screening was suboptimal. Furthermore, a low percentage of female healthcare providers in the region had undergone screening for cervical cancer. As a result, policymakers and program administrators should focus on improving the knowledge, attitude, and practices of healthcare providers to meet the global health goal of cervical cancer screening and effectively eliminating cervical cancer. Healthcare providers must serve as role models for other women who should also undergo screening. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023495241.

Evaluating the Barriers and Facilitators to Implementing a Novel Referral System for Outpatient Geriatric Services: The Geri-Hub Quality Improvement Initiative.

Background: In healthcare systems prioritizing care of older adults, resource limitations and escalating demand often impede access to outpatient specialized geriatric services. Objectives: This study, theoretically guided by the Consolidated Framework for Implementation Research (CFIR), aimed to explore barriers and facilitators in implementing a centralized "Geri-Hub." The Geri-Hub is a centralized intake system established within 2 hospital systems to coordinate outpatient and community-based services for older adults, aiming to connect them with the most appropriate care in a timely manner. Methods: Qualitative insights were gathered from healthcare professionals at 2 academic institutions in the process of consolidating services. Through open-ended surveys and semi-structured interviews, we solicited feedback on referral management, waiting times, and overall work experiences. Results: Thirteen frequently referring providers and a cohort of 9 geriatricians, along with 4 administrators, contributed to the study. Geriatricians emphasized streamlined referrals, flexible scheduling for urgent cases, and a target wait time of 3 months. Administrators stressed standardized referral procedures, defined roles, and accessible referral information. Discussion: The findings underscored the need for straightforward referral processes, enhanced communication on referral statuses, and reduced wait times. Optimizing these processes could potentially mitigate resource utilization issues and improve patient outcomes in healthcare systems. This research highlights the critical role of timely access to geriatric services during transformative phases in healthcare delivery.

The Prevalence of Temporomandibular Disorders Among Dental and Medical Students in Taif, Saudi Arabia: A Cross-Sectional Study.

Objectives  This study was undertaken to investigate the prevalence of temporomandibular disorders (TMDs) and the impact of various contributing factors among undergraduate healthcare students in the region of Taif, Saudi Arabia. Methods A total of 100 undergraduate students were recruited from both the College of Medicine and the College of Dentistry at Taif University, Taif, Saudi Arabia. Data were collected on demographic parameters and the Helkimo's index (anamnestic {Ai} and clinical dysfunction {Di} component) using an anonymous self-administered questionnaire, as well as clinical examinations.  Results A significantly high prevalence (97%) of TMDs was observed among the sampled students, with most of them (44.0%) experiencing severe symptoms that might negatively impact their quality of life. On clinical examinations, most of the students (75.0%) showed signs of mild clinical dysfunction, which might indicate an early stage of TMD. Moreover, factors that include older age, majoring in "dentistry" studies, being allergic, having oral habits, poor mental health, and previous COVID-19 infections were found to be significantly associated with TMDs. Conclusion The findings indicate a relatively high TMD prevalence among the sampled undergraduate healthcare students, especially those studying "dentistry". Curriculum modifications, coupled with more awareness and education, are recommended to achieve early diagnosis and help in reducing the incidence of TMD among this population.

Assessment of Distinct Gut Microbiome Signatures in a Diverse Cohort of Patients Undergoing Definitive Treatment for Rectal Cancer.

Introduction: Disparities in incidence and outcome of rectal cancer are multifactorial in etiology but may be due, in part, to differences in gut microbiome composition. We used serial robust statistical approaches to assess baseline gut microbiome composition in a diverse cohort of patients with rectal cancer receiving definitive treatment. Methods: Microbiome composition was compared by age at diagnosis (< 50 vs ≥ 50 years), race and ethnicity (White Hispanic vs non-Hispanic), and response to therapy. Alpha diversity was assessed using the Shannon, Chao1, and Simpson diversity measures. Beta diversity was explored using both Bray-Curtis dissimilarity and Aitchison distance with principal coordinate analysis. To minimize false-positive findings, we used two distinct methods for differential abundance testing: LinDA and MaAsLin2 (all statistics two-sided, Benjamini-Hochberg corrected false discovery rate < 0.05). Results: Among 64 patients (47% White Hispanic) with median age 51 years, beta diversity metrics showed significant clustering by race and ethnicity (p < 0.001 by both metrics) and by onset (Aitchison p = 0.022, Bray-Curtis p = 0.035). White Hispanic patients had enrichment of bacterial family Prevotellaceae (LinDA fold change 5.32, MaAsLin2 fold change 5.11, combined adjusted p = 0.0007). No significant differences in microbiome composition were associated with neoadjuvant therapy response. Conclusion: We identified distinct gut microbiome signatures associated with race and ethnicity and age of onset in a diverse cohort of patients undergoing definitive treatment for rectal cancer.

Influence of age on financial toxicity in cancer patients.

Objective: The aim of this study was to assess the level of financial toxicity (FT) experienced by the following three age groups of cancer patients in China: young working-aged patients (age < 40 years), middle-aged patients (40-64 years), and older patients (≥ 65 years). Methods: The data used for this study were collected via a cross-sectional survey conducted in China. FT was assessed using the Comprehensive Score for Financial Toxicity (COST). ANOVA was used to examine the differences in FT status between age groups. Multivariate linear regression models were employed to assess the association between age and FT, adjusted by socioeconomic and other clinical characteristics. Results: A total of 556 cancer patients completed the survey. Approximately 54.3% of the participants were male and 45.7% were female. The majority (61.5%) were aged 40-64 years, while 27.7% were aged 65 or older. The mean FT scores for young patients (< 40 years), middle-aged patients (40-64 years), and older patients (≥ 65 years) were 16.7, 12.8, and 12.4, respectively. The results of the regression analysis revealed that, without adjusting for background characteristics, young patients had significantly higher mean COST scores. This suggests they experienced lower levels of FT compared to patients in other age groups. Stratified analysis revealed that, for older patients, only educational level and type of insurance scheme were significant factors in predicting the COST score. Conclusions: This study provides empirical evidence for developing targeted interventions and policies to reduce the FT for patients in different age groups. Given that FT is complicated, a longitudinal study should be conducted to explore the long-term impact of FT on cancer patients' quality of life and well-being.

Improving Patient Safety and Care Quality Through a "Speaking-Up" Climate: The Mediating Role of Situation Monitoring.

Purpose: In healthcare settings, a climate that encourages speaking up among staff is believed to enhance patient safety and quality of care. However, the specific mechanisms of this relationship remain underexplored. Particularly, there is a need to understand how components of teamwork, such as situation monitoring, can be linked to the impact of a speaking-up climate on relevant outcomes. This study aimed to investigate the direct and indirect effects of a speaking-up climate on patient safety and quality of care using situation monitoring as a potential mediator. Patients and Methods: This cross-sectional study used survey data from 380 staff nurses who provided direct patient care at three Korean hospitals. Structural equation modeling was utilized to test a hypothesized mediation model using Mplus 7.0. Results: Our data analysis confirmed the partial mediation model. As hypothesized, a speaking-up climate directly improved patient safety (ß = 0.384, p < 0.001) and quality of care (ß = 0.393, p < 0.001). Also, we found that indirect effects of a speaking-up climate on patient safety (ß = 0.224, p < 0.001) and quality of care (ß = 0.186, p = 0.005) through situation monitoring were significant. These results indicate that situation monitoring was found to significantly mediate the relationship between a speaking-up climate, patient safety, and quality of care. Conclusion: Our study demonstrates that the positive impact of a speaking-up climate extends beyond improving nurses' speaking up. Further, fostering a speaking-up climate can significantly improve patient safety and quality of care, and situation monitoring has a critical role in this relationship. These findings contribute to understanding how encouraging a speaking-up climate could benefit patient safety and care quality in healthcare organizations.

Understanding the unprecedented 2023 dengue outbreak in Bangladesh: a data-driven analysis.

Objectives: This study aims to elucidate the epidemiological characteristics, spatial distribution, and potential contributing factors associated with the 2022-2023 dengue outbreak in Bangladesh. Methods: We retrospectively analyzed dengue fever cases reported by national health surveillance systems, focusing on incidence, geographical spread, and fatalities. Statistical methods were used to explore correlations between population density, healthcare capacity, and disease prevalence. Results: Our study revealed that in 2023, dengue cases and deaths surged five-fold (from 62,382 to 320,835) and nearly six-fold (from 281 to 1699) compared with 2022. Major cities such as Dhaka and Chittagong emerged as epicenters with significantly higher caseloads and mortality rates. The analysis identified a strong positive correlation between population density and disease prevalence, suggesting urbanization as a contributing factor. In addition, a shift in the peak dengue season from August to September was observed. Furthermore, disparities in health care infrastructure were identified, with densely populated areas experiencing critical shortages of hospital beds, potentially impacting fatality rates. Conclusions: This unprecedented dengue outbreak in Bangladesh highlights the need for a multifaceted approach. Prioritizing vector control, targeted public awareness in identified hotspots, addressing healthcare resource inequities, and further research on environmental and demographic determinants of transmission are crucial for mitigating future outbreaks in Bangladesh.

Socially assistive walker for daily living assistance in older adults.

Introduction: This paper addresses the growing healthcare needs of an ageing population and the lack of advanced technologies with social capabilities that are cost effective, user friendly, and readily adopted. In response to this motivation, a socially assistive walker is designed to provide physical and cognitive support in activities of daily living for older adults. Methods: Physical and cognitive support is provided by walker's structure, sensors, and feedback interfaces to assist users daily living activities, as well as, in navigating environment safely and efficiently. The walker's design arises from semi-structured interviews conducted with ageing experts, leading to the development of two levels or modes of social interaction, namely low and high interaction. Results and discussion: In a cohort of 14 adults, the study found the device easy to use regardless of the interaction mode, with 78.5% expressing a preference for the version featuring embodiment, verbal feedback, and more proactive cues (p < 0.05). The results also prompted ideas and suggestions for new designs based on insights gleaned from the user. This research contributes to the field of socially assistive robotics by offering an example of a user centred approach to address the healthcare challenges an ageing population poses.

Advancing Pharmacy Practice: The Role of Intelligence-Driven Pharmacy Practice and the Emergence of Pharmacointelligence.

The field of healthcare is experiencing a significant transformation driven by technological advancements, scientific breakthroughs, and a focus on personalized patient care. At the forefront of this evolution is artificial intelligence-driven pharmacy practice (IDPP), which integrates data science and technology to enhance pharmacists' capabilities. This prospective article introduces the concept of "pharmacointelligence", a paradigm shift that synergizes artificial intelligence (AI), data integration, clinical decision support systems (CDSS), and pharmacy informatics to optimize medication-related processes. Through a comprehensive literature review and analysis, this research highlights the potential of pharmacointelligence to revolutionize pharmacy practice by addressing the complexity of pharmaceutical data, changing healthcare demands, and technological advancements. This article identifies the critical need for integrating these technologies to enhance medication management, improve patient outcomes, and streamline pharmacy operations. It also underscores the importance of regulatory and ethical considerations in implementing pharmacointelligence, ensuring patient privacy, data security, and equitable healthcare delivery.

The transition of patient care: Exploring the outcomes of prehospital to hospital patient handover practices and healthcare provider education.

Introduction: Inadequate patient handover is linked to numerous medical errors and lapses in communication between hospital healthcare providers and prehospital healthcare providers. Undergraduate healthcare curricula may limit programme-specific education on patient handover and shift learning to informal learning opportunities. This study aimed to investigate the outcomes of qualified healthcare provider (HCPs) educational programmes to determine the adequacy of handover practices, the source of their training, and their interprofessional acceptance of these practices. Methods: A multi-method study design was used - a document analysis of HCP programme outcomes and a two-section questionnaire. The questionnaire was sent to HCPs to determine the impact of patient handover practices on current healthcare systems and their opinion on whether the training on handovers is sufficient. Results: HCPs indicated little educational interaction regarding patient handover. Most participants felt handover education relied predominantly on informal training. With their existing knowledge, many HCPs revealed that they were comfortable in handing over a patient. Little interprofessional confidence regarding patient handover information indicates minimal interprofessional collaboration toward standardised approaches for patient handover. Conclusion: This study indicates a lack of standardised handover procedures, which leads to HCP self-interpretations. There is low trust between HCPs regarding information received. The study highlights the need for standardised handover training in healthcare curricula to improve patient safety and interprofessional collaboration.