Search Results (1,975)

Background: Pediatric asthma is a multifactorial condition influenced by environmental, biological, and social determinants. The COVID-19 pandemic introduced new variables that may have affected the severity and management of asthma in children and adolescents, particularly through changes in healthcare access, treatment adherence, and exposure to environmental risk factors. Objective: To evaluate the association between asthma severity and various factors including nutritional status, corticosteroid use, COVID-19 vaccination, and pollutant exposure before and during the COVID-19 pandemic in a pediatric population. Methods: A retrospective analysis was conducted using 307 medical records of patients aged 3 to 17 years. Data collected included sociodemographic characteristics, nutritional indicators, history of corticosteroid use, vaccination status against COVID-19, and exposure to environmental pollutants. Asthma severity was assessed using the pulmonary score, and multiple statistical analyses, including logistic regression using the Bayesian Logistic Regression Model (BLRM), were employed to identify significant associations. Results: The analysis revealed a statistically significant impact of the pandemic on hospitalization rates (p = 0.0187) and the use of corticosteroids (p = 0.009), indicating changes in asthma management during this period. Notable differences were observed in the geographic distribution of mild versus severe asthma cases prior to the pandemic, associated with nutritional status and gender (p = 0.018). During the pandemic, breastfeeding history, body weight, and hospitalization emerged as significant predictors of asthma severity (p < 0.05). In addition, breastfeeding in young children (aged 3 to 6 years) and hospitalization were strongly associated with pulmonary scores, with significance values of 0.022 and 0.012, respectively, as identified by the BLRM. Conclusions: These findings suggest that the pandemic context influenced both the clinical course and management of pediatric asthma. Preventive strategies should consider individual and environmental factors such as nutrition, early-life health practices (e.g., breastfeeding), and equitable access to appropriate asthma care and vaccination. Tailoring pediatric asthma management to these variables may improve outcomes and reduce disparities in disease severity. Full article

Emergency medical services confront significant challenges in delivering timely patient assessments within geographically isolated or disaster-impacted regions. While drones (unmanned aircraft systems, UAS) show transformative potential in healthcare, standardized protocols for drone-assisted patient evaluations remain underdeveloped. This study introduces the ABCD-IN-BARS protocol, a 9-step telemedicine checklist integrating patient-assisted maneuvers and drone technology to systematize remote emergency assessments. A wait-list randomized controlled trial with 68 first-aid-trained volunteers evaluated the protocol’s feasibility. Participants underwent web-based modules and in-person simulations and were randomized into immediate training or waitlist control groups. The ABCD-IN-BARS protocol was developed via a content validity approach, incorporating expert-rated items from the telemedicine literature. Outcomes included time-to-assessment, provider confidence (Modified Cooper–Harper Scale), measured at baseline, post-training, and 3-month follow-up. Ethical approval and informed consent were obtained. Most of the participants can complete the assessment with a cue card within 4 min. A mixed-design repeated measures ANOVA assessed the effects of Time (baseline, post-test, 3-month follow-up within subject) on assessment durations. Assessment times improved significantly over three time points (p = 0.008), improving with standardized protocols, while patterns were similar across groups (p = 0.101), reflecting skill retention at 3 months and not affected by injury or not. Protocol adherence in simulated injury identification increased from 63.3% pre-training to 100% post-training. Provider confidence remained high (MCH scores: 2.4–2.7/10), and Technology Acceptance Model (TAM) ratings emphasized strong Perceived Usefulness (PU2: M = 4.48) despite moderate ease-of-use challenges (EU2: M = 4.03). Qualitative feedback highlighted workflow benefits but noted challenges in drone maneuvering. The ABCD-IN-BARS protocol effectively standardizes drone-assisted emergency assessments, demonstrating retained proficiency and high usability. While sensory limitations persist, its modular design and alignment with ABCDE principles offer a scalable solution for prehospital care in underserved regions. Further multicenter validation is needed to generalize findings. Full article

Objective: This study aimed to compare the effectiveness and safety of vonoprazan–amoxicillin (VA) dual therapy with modified bismuth-containing quadruple therapy (esomeprazole, bismuth, amoxicillin, and clarithromycin; EBAC) in treatment-naïve patients infected with Helicobacter pylori (H. pylori). Methods: In this single-center, open-label, randomized controlled trial conducted from July to December 2024, a total of 504 H. pylori-positive patients were randomly allocated to receive either VA (vonoprazan 20 mg and amoxicillin 1000 mg, twice daily for 14 days) or EBAC (esomeprazole 20 mg bid, bismuth potassium citrate 220 mg bid, amoxicillin 1000 mg bid, clarithromycin 500 mg bid, twice daily for 14 days). The primary endpoint was the H. pylori eradication rate, and the secondary endpoint was safety. Results: In the intention-to-treat (ITT) analysis, the eradication rates were 79.4% (200/252) in the VA group and 85.7% (216/252) in the EBAC group (p = 0.060). Per-protocol (PP) analysis showed comparable eradication rates between the two groups (92.1% [197/214] vs. 93.0% [213/229], p = 0.712), confirming the non-inferiority of VA compared to EBAC. The incidence of adverse events was significantly fewer in the VA group (27.2% vs. 42.7%, p < 0.001). Logistic regression identified medication adherence (≥80%) as the only independent predictor of successful eradication (OR 17.557, p < 0.001). Conclusion: VA dual therapy achieved comparable H. pylori eradication rates to EBAC, while offering better safety and a more convenient regimen, supporting it as a preferred first-line treatment for H. pylori infection. Full article

Because of the increased prevalence of chronic diseases, older adults frequently take many medications. However, adhering to a medication treatment tends to be difficult. The lack of medication adherence can cause health problems or even patient death. This paper describes the methodology used in developing a mobile augmented reality (MAR) pill box. The proposal supports patients in adhering to their medication treatment. First, we explain the design and construction of the automatic pill box, which includes alarms and uses QR codes recognized by the MAR system to provide medication information. Then, we explain the development of the MAR system. We conducted a preliminary survey with 30 participants to assess the feasibility of the MAR app. One hundred older adults participated in the survey. After one week of using the proposal, each patient answered a survey regarding the proposal functionality. The results revealed that 88% of the participants strongly agree and 11% agree that the app is a support in adhering to medical treatment. Finally, we conducted a study to compare the time elapsed between the scheduled time for taking the medication and the time it was actually consumed. The results from 189 records showed that using the proposal, 63.5% of the patients take medication with a maximum delay of 4.5 min. The results also showed that the alarm always sounded at the scheduled time and that the QR code displayed always corresponded to the medication that had to be consumed. Full article

Background: Type 2 diabetes mellitus (T2DM) is a global health concern driven by aging, lifestyle, and socio-economic disparities. Early detection is key, with tools like FINDRISC, QDScore, and CANRISK providing non-invasive screening. Yet, the combined effects of sociodemographic factors, healthy habits, and perceived quality of life on diabetes risk remain insufficiently studied in working populations. Objectives: To evaluate the association between sociodemographic variables, lifestyle habits (smoking, physical activity, adherence to the Mediterranean diet), and health-related quality of life (HRQoL) with the risk of developing type 2 diabetes, using three validated screening tools in a large cohort of Spanish workers. Methods: A cross-sectional study was conducted among 100,014 Spanish workers aged 18 to 69 years who underwent standardized medical evaluations between January 2021 and December 2023. Diabetes risk was assessed using the FINDRISC, QDScore, and CANRISK tools. Lifestyle variables and HRQoL (measured via the SF-12 questionnaire) were evaluated through validated instruments. Multivariate logistic regression models were used to examine the association of independent variables with moderate-to-high diabetes risk according to each score. Results: Among the strongest predictors, poor adherence to a Mediterranean diet (OR = 1.45, 95% CI: 1.32–1.58) and low physical activity (OR = 1.39, 95% CI: 1.27–1.52) were independently associated with higher diabetes risk. Poor HRQoL was also significant (OR = 1.33, 95% CI: 1.22–1.47). Conclusions: Sociodemographic factors, lifestyle behaviors, and perceived health status are independently associated with increased type 2 diabetes risk in Spanish workers. The integration of HRQoL assessments into occupational health surveillance may enhance early identification of at-risk individuals and guide tailored prevention strategies. Full article

Background and Objectives: To date, several machine learning (ML) prognostic prediction models have been investigated for patients with acute myocardial infarction (AMI). However, few studies have compared the prognostic performance of ML techniques in AMI patients who underwent percutaneous coronary intervention (PCI). We sought to compare the prognostic performance among various machine learning techniques to determine which one showed the best prediction ability. Materials and Methods: Using data from the large, multicenter COREA-AMI registry, this study analyzed 10,172 patients to predict major adverse cardiac events (MACEs) at 1 and 5 years. MACE was defined as a composite of cardiac death, myocardial infarction, or cerebrovascular accident. Results: Compared with the four other ML techniques and traditional logistic regression, the random forest (RF) model consistently demonstrated the highest predictive performance. At 5 years, the RF model achieved a superior area under the curve (AUC) of 0.822, an accuracy of 0.804, and an F1 score of 0.870. To ensure clinical interpretability, a SHapley Additive exPlanations analysis was performed on the RF model. It identified key independent predictors for MACEs. The top nonmodifiable predictors included age, renal function, and left ventricular ejection fraction, whereas modifiable risk factors included dual antiplatelet therapy, statin therapy, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker therapy, and adherence to these optimal medical therapy. Conclusions: In this real-world patient cohort, the RF model provided modest improvements in long-term risk stratification, and our findings highlight the continuing importance of guideline-directed medical therapy in determining patient prognosis. Full article

Background: Lower limb amputation (LLA), due to non-traumatic causes such as vascular diseases and diabetes, significantly impacts patients’ physical, psychological, and social well-being. While multidisciplinary rehabilitation programs commonly address physical and functional recovery, psychological and subjective experiences related to limb loss remain less explored. Thus, this preliminary study aimed to investigate the psychological and behavioral adaptation processes in patients undergoing rehabilitation following lower limb amputation. Methods: A preliminary observational study with a mixed-method approach based on quantitative and qualitative data triangulation was conducted. This approach involves integrating multiple data sources and methodologies—in this case, quantitative psychometric measures and qualitative interviews via the prospective of amputees and those who use prostheses—to enhance the validity and depth of the research findings. Results: Fourteen inpatient amputees and fourteen inpatient prosthesis users (years: 66.6 ± 2.5 for amputee and 61.5 ± 1.9 for prosthesis users, male amputees: 85.7%, male prosthesis users: 100%) of a research hospital in the North of Italy were assessed using validated psychometric tools (GAD-7, PHQ-9, PID-5-BF, BIS, ASonA) alongside semi-structured interviews analyzed through the Interpretive Description approach. Key themes highlighted illness acceptance, prosthesis adaptation, body image, medication and behavioral adherence, anxiety, depression, quality of life, denial, optimism, and social support. Overall, anxiety–depressive symptomatology tended to decrease with the prosthesis, and pharmacological and behavioral adherence improved, as did the disease acceptance. Body image was fairly preserved in all patients despite some fears of others’ judgment with respect to the prosthesis. Interestingly, there was poor agreement between quantitative and qualitative data in both the amputee’ and prosthesis users’ groups: while the former returned a partial and neutral picture, a more multifaceted picture emerged from the interviews collected. Conclusions: These findings underline the importance of integrating quantitative psychometric evaluations with qualitative methods to comprehensively understand patients’ adaptive experiences. Such combined insights are essential to inform tailored psychological interventions throughout the rehabilitation journey. Full article

Background: Medication adherence is one of the critical factors in optimizing treatment outcomes for chronic diseases such as atopic dermatitis (AD). Existing studies use aggregate data, but there is a need for assessment of medication adherence phases, such as the initiation and discontinuation of therapy. The aim of this study was to assess medication adherence across patients with moderate to severe AD, investigating the impact of drug treatment characteristics, particularly the route of administration, on adherence levels during treatment. Methods: A retrospective observational study on an Italian sample included 821 newly diagnosed AD patients from January 2021 to June 2022. Medication adherence was evaluated by EMERGE guidelines, focusing on initiation and discontinuation. Discontinuation was assessed at 6 and 12 months, comprising sensitivity analysis. Statistical analysis included chi-square tests and descriptive statistics on treatment duration. Results: Treatment initiation is significantly lower for tacrolimus ointment (38% non-initiation) than for dupilumab injection (12% non-initiation), due to initial healthcare support for dupilumab patients. After six months, 75.6% of dupilumab injection patients remained on therapy, while 24.4% of patients continued tacrolimus ointment treatment. After one year, therapy persistence was 68.7% among users of dupilumab, while only 22.5% of patients remained on tacrolimus therapy. Dupilumab demonstrated a significantly longer median treatment duration compared to tacrolimus (4.4 vs. 2.6 months; p < 0.01). Conclusions: The observed differences in adherence patterns between topical tacrolimus and subcutaneous dupilumab suggest that distinct contextual and behavioral factors influence patient adherence during therapy. Full article

Background: Public discourse on social media plays an increasingly influential role in shaping health-related perceptions and behaviours. Individuals share experiences, concerns, and opinions beyond clinical settings around different issues. X (formerly Twitter) provides a unique lens through which to examine how different treatments are perceived, used, and debated across diverse communities over time. Objective: The study aims to (a) identify the types of ADHD medications mentioned in posts, depending on language and user type; (b) evaluate the popularity of content related to these medications, considering language and user type; (c) analyse temporal changes in the frequency of mentions between 2006 and 2022; and (d) examine the distribution of tweets across different content categories. By addressing these objectives, this study provides insights into public perceptions of ADHD medications, which may help healthcare professionals better understand online discussions and improve their communication with patients, facilitating more informed treatment decisions. Methods: An observational study was conducted analysing 254,952 tweets in Spanish and English about ADHD medications from January 2006 to December 2022. Content analysis combined inductive and deductive approaches to develop a categorisation codebook. BERTWEET and BETO models were used for machine learning classification of English and Spanish tweets, respectively. Descriptive statistical analysis was performed. Results: Overall, stimulant medications were posted more frequently and received higher engagement than non-stimulant medications. Methylphenidate, dextroamphetamine, and atomoxetine were the most commonly mentioned medications, especially by patients, who emerged as the most active users among the English tweets. Regarding medical content, tweets in English contained more than twice the number of mentions of inappropriate use compared to those in Spanish. There was a high content of online medication requests and offers in both languages. Conclusions: In this study, conducted on X, discussions on ADHD medications highlighted concerns about misuse, adherence, and trivialisation, with clear differences between English and Spanish tweets regarding focus and type of user participation. These findings suggest that monitoring social media can provide early signals about emerging trends, helping clinicians address misconceptions during consultations and informing public health strategies aimed at the safer and more responsible use of ADHD medications. Full article

Parkinson’s disease (PD), a progressive neurodegenerative disorder affecting over 10 million people worldwide, necessitates continuous symptom monitoring to optimize treatment and enhance quality of life. Effective communication between patients and healthcare providers (HCPs) is vital but often hindered by fragmented data and cognitive impairments. PARKA AI, a novel iOS application, leverages Apple Watch HealthKit data (e.g., tremor detection, mobility metrics, heart rate, and sleep patterns) and integrates it with self-reported logs (e.g., mood, medication adherence) to empower PD self-management and improve patient–HCP interactions. Employing a human-centered design approach, we developed a high-fidelity prototype using a large language model (LLM)— Google Gemini 1.5 Flash—to process and analyze self-reports and objective sensor-derived data from Apple Healthkit to generate patient-friendly summaries and concise HCP reports. PARKA AI provides accessible data visualizations, personalized self-management tools, and streamlined HCP reports to foster engagement and communication. This paper outlines the derived design requirements, prototype features, and illustrative use cases to show how LLMs can be used in digital health tools. Future work will focus on real-world usability testing to validate the application’s efficacy and accessibility. Full article

Breast cancer (BC) is the most frequently diagnosed malignancy in women. Currently, BC is treated with a holistic and multidisciplinary approach from diagnostic, surgical, radio-oncological, and medical perspectives, and advances including in early detection and treatment methods have led to improved outcomes for patients in recent years. Yet, BC remains the second most common cause of cancer-related deaths among women and there is an array of gaps to achieve optimal care. To close gaps in cancer care, here we describe a collaborative Request For Proposals (RFP) framework supporting independent initiatives for metastatic breast cancer (MBC) patients and aiming at improving their quality of care. We set up a collaborative framework between Pfizer and Sharing Progress in Cancer Care (SPCC). Our model is based on an RFP system in which Pfizer and SPCC worked together ensuring the independence of the funded projects. We developed a three-step life cycle RFP. The collaborating framework of the project was based on an RFP with a USD 1.5 million available budget for funding independent grants made available from Pfizer and managed in terms of awareness, selection, and monitoring by SPCC. Our three-step model could be applicable and scalable to quality improvement (QI) initiatives that are devoted to tackling obstacles to reaching optimal care. Through this model, seven projects from five different European countries were supported. These projects covered a range of issues related to the experience of patients with MBC: investigator communication, information, and shared decision-making (SDM) practices across Europe; development, delivery, and evaluation of a scalable online educational program for nurses; assessment of disparities among different minority patient groups; development of solutions to improve compliance or adherence to therapy; an information technology (IT) solution to improve quality of life (QoL) of patients with MBC and an initiative to increase awareness and visibility of MBC patients. Overall, an average of 171 healthcare professionals (HCPs) per project and approximately 228,675 patients per project were impacted. We set up and describe a partnership model among different stakeholders within the healthcare ecosystem―academia, non-profit organizations, oncologists, and pharmaceutical companies―aiming at supporting independent projects to close gaps in the care of patients with MBC. By removing barriers at different layers, these projects contributed to the achievement of optimal care for patients with MBC. Full article

Objectives: Heart failure is one of the leading causes of hospitalization in older adults. Guideline-directed medical therapy (GDMT) reduces the risk of decompensation and hospitalization, though it is challenging to implement GDMT in this group. Therefore, this study evaluated adherence to the 2021 ESC heart failure guideline in older patients and explored reasons for guideline deviations. Methods: A retrospective cohort study was performed in older patients (70+ years) with decompensated heart failure (ejection fraction < 50%) admitted to the cardiology or geriatrics department at a tertiary hospital (May 2022–September 2023). Data on GDMT-drug use, dosage, and reasons for guideline deviations were collected at discharge and three months post-discharge. Additionally, associations between GDMT non-adherence and factors such as age, frailty, comorbidities, and admission specialty were analyzed. Results: A total of 60 patients were included (mean age 79 years, 40% women, median EF 34%). The four GDMT drugs were prescribed to 15% of patients at discharge and 26% at follow-up, and 3% of the patients received the target dose for all drugs. Older patients (>80 years) received GDMT less frequently at discharge compared to younger patients (4% vs. 26%, p = 0.03). Though this difference was resolved at follow-up. The other studied factors were not significantly associated with GDMT adherence. Common reasons for guideline deviations were adverse effects, contraindications, reduced life expectancy, and postponed treatment. Conclusions: Adherence to GDMT in older heart failure patients is low due to several reasons, such as relevant contraindications. Physicians should carefully balance the risks and benefits of the guideline versus individual benefit, considering life expectancy and individual care goals. Full article

Type 2 diabetes (T2D) presents growing public health challenges due to its strong links to modifiable behaviors. This systematic review examined how researchers have studied behavioral domains such as diet, physical activity, medication adherence, and blood glucose monitoring in adults with T2D. A structured search of PubMed, Scopus, and Web of Science identified peer-reviewed studies published between 2003 and 2025, with studies from 2014 onward prioritized to reflect the rise in mobile health technologies. 30 core studies were systematically reviewed, with 10 additional comparative studies included for supplementary methodological insights. Quantitative approaches were most common, offering measurable outcomes but often relying on self-report. Qualitative studies provided valuable cultural and psychosocial context yet lacked generalizability. Mixed-methods designs integrated statistical and narrative insights but posed practical challenges in execution. Technology-assisted methods, such as mobile applications and wearable devices, supported real-time monitoring and improved accuracy but raised concerns regarding privacy and equitable access. Physical activity and dietary behaviors were most frequently studied, while medication adherence and glucose monitoring received less consistent attention. Despite methodological diversity, most studies relied on cross-sectional designs and underutilized culturally tailored frameworks. This review emphasizes the need for longitudinal, equity-focused research methodologies to improve diabetes prevention and management strategies. Full article

Background/Objective: Drug-related problems (DRPs) are a common, potentially avoidable cause of emergency department (ED) use. In December 2022, our hospital integrated a pharmacist-led intervention into routine ED practice. This intervention comprised medication optimization, adherence counseling, and coordinated hand-off to primary care. We quantified 30- and 90-day reconsultations after discharge and explored factors associated with DRP-related revisits. Methods: A retrospective cohort of adults (≥18 years) who attended a tertiary ED (Barcelona, Spain). We included index DRP visits from 1 December 2022 to 30 June 2024. All received the bundle. Demographic, clinical, and pharmacotherapeutic data were extracted from the Catalan Shared Health Record; an independent committee classified revisits as a DRP or non-DRP. Predictors of 30-day DRP revisits were assessed with multivariable logistic regression. Results: Among 1247 patients (mean age 78.6 ± 16.2 years; 59.2% women; and median nine drugs), 120 (9.6%) reconsulted the ED within 30 days, and 194 (15.5%) within 90 days for any cause. DRP-specific rates were 30.8% (37/120) at 30 days and 26.3% (51/194) at 90 days; 81% and 80% of these revisits, respectively, involved a recurrence of the same DRP. The most frequent index DRPs were constipation (14.2%), gastrointestinal bleeding (9.2%), hypertension (8.3%), seizures (8.3%) and hyponatraemia (6.7%). An age ≥ 80 years independently predicted fewer 30-day DRP revisits (OR 0.32; 95% CI 0.13–0.79); hypertension and cognitive impairment were not significant after adjustment. Conclusions: In this single-arm implementation cohort, overall, 30-day ED reconsultations were 9.6% and about one-third were DRP-related, predominantly recurrences, and chiefly gastrointestinal bleeding and seizures. These descriptive findings should be interpreted cautiously given potential survivorship bias and residual confounding; the apparently lower risk among patients aged ≥ 80 years is hypothesis-generating and may reflect geriatric care pathways and caregiver engagement. Targeted post-discharge monitoring for high-recurrence DRPs may help reduce avoidable ED use, and future evaluations should test this in quasi-experimental or randomized designs. Full article

Practicing medical research based on the best evidence is gaining increased value and popularity among most medical societies in the current era. Good clinical practice (GCP) is internationally recognized as the scientific and ethical standard for the design, conduct, performance, auditing, recording, analysis, and reporting of clinical trials involving human subjects. GCP ensures the accuracy and credibility of trial while safeguarding the rights, integrity, and confidentiality of participants. Adherence to GCP facilitates the generation of high-quality studies that can be incorporated in Evidence-Based Medicine (EBM). The clinical practice of EBM seeks to integrate robust medical literature into daily medical practice. This process involves systematically searching for high-quality evidence, critically appraising the retrieved literature, applying sound clinical principles and finally evaluating the efficacy of the chosen approach. Although EBM has been evaluated in many resource settings, it has not been addressed sufficiently in the field of Pediatrics and more specifically in indigenous populations. In this review, we briefly explain the EBM approach and its applications in Pediatrics, in order to help physicians care for young subjects more efficiently by integrating the best available information into their routine clinical practice. Also, the basic good practice principles for conducting clinical trials in children and adolescents are highlighted, emphasizing the importance of applying high ethical principles in this vulnerable population. Full article