Search Results (1,721)

Objectives: The objectives are to evaluate the influence of different maternal characteristics on ultrasound image quality and operator satisfaction, and to assess, preliminarily, a rating scale to stratify the difficulty level of ultrasound examination in early gestation. Methods: A multicentric observational study of ultrasound scans was carried out on singleton pregnant women undergoing routine gestational ultrasound at 11–14 weeks and 19–21 weeks of gestation at two Prenatal Care Centers in the Apulia region (Southern Italy). Inclusion criteria included the presence of one or more limiting features, i.e., obesity, retroverted uterus, myomas, previous abdominal surgery, and limited echo-absorption. Each woman was given an overall pre-echographic limiting score from 0 to 9. The outcome measure was the operator’s satisfaction with the examination, scored on a Likert scale. Nested linear regression models (raw, semi- and fully adjusted) were built for each of the two trimesters on the pre-ecographic limiting score (0–9 points) as dependent variables, with the operator’s satisfaction as the regressor. Results: The whole sample included 445 pregnant women. The two-center samples did not show statistically different baseline features. The operator’s satisfaction with the sonographic examination was significantly (and inversely) related to the pre-echographic limiting score, regardless of the mother’s age, the operator performing the ultrasound, the Hospital Center where the ultrasound examination was performed, and the duration of the sonographic examination. Conclusions: A number of maternal conditions need to be monitored for good ultrasound performance; using a specific rating scale to stratify the level of difficulty of the ultrasound examination at early gestation could represent a potentially useful tool, although it requires further validation. Full article

Respiratory diseases represent a persistent global health challenge, underscoring the need for intelligent, accurate, and personalized diagnostic and therapeutic systems. Existing methods frequently suffer from limitations in diagnostic precision, lack of individualized treatment, and constrained adaptability to complex clinical scenarios. To address these challenges, our study introduces a modular AI-powered framework that integrates an audio-based disease classification model with simulated molecular biomarker profiles to evaluate the feasibility of future multimodal diagnostic extensions, alongside a synthetic-data-driven prescription recommendation engine. The disease classification model analyzes respiratory sound recordings and accurately distinguishes among eight clinical classes: bronchiectasis, pneumonia, upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), asthma, chronic obstructive pulmonary disease (COPD), bronchiolitis, and healthy respiratory state. The proposed model achieved a classification accuracy of 99.99% on a holdout test set, including 94.2% accuracy on pediatric samples. In parallel, the prescription module provides individualized treatment recommendations comprising drug, dosage, and frequency trained on a carefully constructed synthetic dataset designed to emulate real-world prescribing logic.The model achieved over 99% accuracy in medication prediction tasks, outperforming baseline models such as those discussed in research. Minimal misclassification in the confusion matrix and strong clinician agreement on 200 prescriptions (Cohen’s $\kappa$ = 0.91 [0.87–0.94] for drug selection, 0.78 [0.74–0.81] for dosage, 0.96 [0.93–0.98] for frequency) further affirm the system’s reliability. Adjusted clinician disagreement rates were 2.7% (drug), 6.4% (dosage), and 1.5% (frequency). SHAP analysis identified age and smoking as key predictors, enhancing model explainability. Dosage accuracy was 91.3%, and most disagreements occurred in renal-impaired and pediatric cases. However, our study is presented strictly as a proof-of-concept. The use of synthetic data and the absence of access to real patient records constitute key limitations. A trialed clinical deployment was conducted under a controlled environment with a positive rate of satisfaction from experts and users, but the proposed system must undergo extensive validation with de-identified electronic medical records (EMRs) and regulatory scrutiny before it can be considered for practical application. Nonetheless, the findings offer a promising foundation for the future development of clinically viable AI-assisted respiratory care tools. Full article

With the rapid digital transformation of healthcare services in India, this study investigates the factors influencing the behavioral shift from traditional hospital visits to e-health consultations. The primary objective was to analyze patient attitudes, satisfaction, and perceived barriers to adopting virtual healthcare, especially in urban and semi-urban settings. Methods: The methodology adopted in the study was descriptive, and a convenience sampling technique was used for data collection because the feasible times of the patients’ availabilities were taken into consideration for data collection. Both primary and secondary data were collected using questionnaires and literature. A sample size of 385 participants was used in this study. Various statistical tools, such as frequency, ANOVA, and Chi-square tests, were used to test the hypotheses. Results: It was observed from ANOVA and Chi-square tests that the factors for switching from traditional consultation to e-health services have a positive association. It was found that integrating data through influencing factors significantly (p < 0.001) improved decisions on e-health services. Conclusion: This study highlights the shift from in-person to e-health consultations driven by convenience, flexibility, and pandemic-related needs while acknowledging barriers such as digital literacy, infrastructure gaps, and trust issues. It recommends strategies, such as secure platforms, training, and integrated care models, for a more inclusive digital health future. Full article

Background: In Canada, despite universal healthcare coverage, dental care remains predominantly privately financed, creating financial barriers that prevent many from accessing essential services. This case study is part of a larger initiative, the One Smile Research program, which evaluates the impact of cost-free dental care on the oral health and overall well-being of individuals who have been unable to access dental services in the past two years due to financial constraints. Participants in the program receive necessary dental care and attend follow-up appointments to assess the long-term effects of continuous cost-free care. Clinical Case: This mixed-methods case report focuses on a 26-year-old male participant and integrates a qualitative semi-structured interview with clinical and self-reported data, providing an in-depth understanding of his experiences. Results: Clinical outcomes demonstrated the effectiveness of the provided dental treatments, while self-reported measures indicated improved oral health, satisfaction with dental appearance, enhanced psychosocial well-being, increased self-esteem, reduced dental anxiety, and better oral hygiene habits. The qualitative interview identified three key themes reflecting positive experiences with the program: ease of admission, staff kindness, and overall well-being improvement. The integration of both quantitative and qualitative analyses revealed significant advancements in both objective and subjective measures, particularly regarding overall well-being. Conclusions: The continuity of cost-free dental care effectively addressed the participant’s oral health and overall well-being, with most benefits sustained even at the two-year follow-up. These individual-level outcomes offer preliminary insight into the potential advantages of universal dental coverage within the Canadian healthcare system. Full article

Background/Objectives: Young female cancer survivors often face specific informational needs related to the physical and emotional effects of cancer and its impact on life plans, particularly fertility and parenthood. However, few tools are tailored to assess these needs during this critical life stage. This study aimed to (i) validate a multidimensional measure—the Satisfaction with Information Provided to Young Oncology Patients Scale (SIPYF-CPS)—to assess the specific informational needs of young adult female cancer survivors; and (ii) explore preferences regarding the provision of information and counseling. Methods: A total of 124 women (M[age] = 38.18; SD = 5.49; range 21–45), 76.6% diagnosed with breast cancer, participated in the study. Psychometric analyses included exploratory factor analysis and correlation coefficients to assess reliability and construct validity. Convergent validity was evaluated through standardized measures of anxiety, reproductive concerns, and quality of life. Results: A final 22-item measure demonstrated strong reliability and validity, capturing four factors: (i) Disease-Related Information, (ii) Symptoms and Functional Limitations, (iii) Implications for Fertility and Parenthood, and (iv) Support Services. Participants expressed low satisfaction with information on fertility preservation, sexual health, and support services. Lower satisfaction was moderately associated with higher anxiety and depression while positively related to quality of life. Most participants preferred phased, face-to-face communication throughout the illness trajectory. Conclusions: The SIPYF-CPS is a valid, multidimensional tool that captures the complex and evolving informational needs of young female cancer survivors. Its clinical use may promote earlier, personalized, and emotionally responsive communication—supporting psychological well-being, informed decision-making, and long-term survivorship care. Full article

Background: Nursing students often experience heightened levels of stress during clinical training due to the dual demands of academic and clinical responsibilities. These stressors, compounded by environmental and organizational factors, can adversely affect students’ well-being, academic performance, and the quality of patient care they deliver. Aim: This study aimed to identify the key stressors influencing nursing students’ perceptions of single-shift quality (SSQ) during clinical training and to examine how well students can predict the quality of their shift based on pre-shift expectations. Methodology: A cross-sectional survey design was implemented, collecting pre- and post-shift data from 325 nursing students undergoing clinical training in Alabama. The survey measured 13 domains related to workload, environmental conditions, organizational interactions, coping strategies, and overall satisfaction. Paired t tests and linear regressions were used to assess changes in perception and identify key predictors of SSQ. Results: This study found significant discrepancies between students’ pre- and post-shift evaluations across multiple domains, including internal environment, organizational interaction with clinical faculty/preceptors, and coping strategies (p < 0.001). Students also accurately predicted stable factors such as patient characteristics and external environment. Pre-shift expectations did not significantly predict post-shift experiences. Post-shift perceptions revealed that stress-coping strategies and collegiality were the strongest predictors of shift quality. Conclusion: Students enter clinical shifts with optimistic expectations that often do not align with actual experiences, particularly regarding support and stress management. The SSQ framework offers a valuable tool for identifying gaps in clinical training and guiding interventions that foster resilience and better alignment between expectations and real-world practice. Full article

Background and Objectives: Chronic kidney disease frequently progresses to end-stage renal disease, requiring dialysis, which imposes significant physical, psychological, and social burdens. Age is a key factor influencing symptom experience and quality of life in dialysis patients, yet findings on its impact remain mixed. This study aimed to examine how age relates to a broad range of health domains—including fatigue, pain, cognition, mental health, sexual satisfaction, bowel control, visual impairment, social support, and quality of life—among hemodialysis patients. Materials and Methods: A cross-sectional study was conducted at a single dialysis center in Poland, involving 79 adult patients undergoing maintenance hemodialysis. Standardized, validated psychometric instruments were used, including the Modified Fatigue Impact Scale (MFIS), Perceived Deficits Questionnaire (PDQ), Pain Effects Scale (PES), Mental Health Inventory (MHI), Modified Social Support Survey (MSSS), Sexual Satisfaction Scale (SSS), Bowel Control Scale (BWCS), Impact of Visual Impairment Scale (IVIS), and WHOQOL-BREF for quality of life. Spearman’s or Pearson’s correlation coefficients were used to evaluate relationships between age and scale scores. Full and abbreviated versions of scales were also compared. Results: Age showed moderate positive correlations with fatigue (ρ = 0.44–0.53), cognitive deficits (ρ = 0.37–0.45), pain (r = 0.41), bowel control issues (ρ = 0.32), and visual impairment (ρ = 0.37), all statistically significant (p < 0.01). No significant associations were observed between age and mental health (MHI), perceived social support (MSSS), or quality of life (WHOQOL-BREF). Abbreviated versions of the scales showed strong correlations with their full versions (ρ > 0.9). Conclusions: While age is linked to increased symptom burden in select domains such as cognition, fatigue, and pain, it does not significantly affect mental health, perceived social support, or overall quality of life in hemodialysis patients. These findings support the use of age-sensitive, multidimensional assessments to inform individualized care strategies. Full article

This paper presents the development and validation of the Transgender Health, Resilience, Inner Well-Being, Vitality, and Empowerment (THRIVE) Scale. It offers insights into the well-being of transgender and gender-diverse (TGD) individuals, by considering their unique experiences and challenges. TGD individuals often experience significant health disparities, including mental health issues, substance abuse, physical health problems, and difficulty with providers knowing about their needs. A comprehensive quality-of-life assessment could aid in identifying contributions to poor quality of life (QOL) and knowing which resources are needed to address this effectively. Assessments attempting to address these challenges often have not been studied adequately and/or have limitations of being for one-time use, surgery-focused, lengthy, emotionally taxing, and not inclusive of non-binary individuals’ specific needs. Validated among a sample of TGD individuals (N = 61), the THRIVE scale displayed good internal consistency reliability (α = 0.87), as well as convergent and divergent validity. It had significant negative correlations with measures of psychological symptoms and identity distress and positive correlations with measures of life satisfaction and well-being. The THRIVE scale represents a critical advancement in assessing the QOL of TGD individuals and could be an effective tool for individualized care, research, and conversation with these populations. Full article

Background and objectives: Duloxetine is widely used for the treatment of major depressive disorder (MDD), generalized anxiety disorder (GAD), and various types of neuropathic pain. While its efficacy is well documented in clinical trials, less is known about how it is perceived and utilized in routine psychiatric practice. To address this knowledge gap, we conducted a cross-sectional observational study involving 80 psychiatrists from Spain to assess real-world clinical attitudes toward duloxetine. Methods: Participants completed a 20-item multiple-choice questionnaire that examined familiarity, perceived efficacy in multiple conditions (MDD, GAD, neuropathic pain, somatization, and quality of life), and perspectives on tolerability, safety, adherence, and overall satisfaction. Results: Survey results indicated that a large majority of psychiatrists frequently prescribe duloxetine, particularly for patients with MDD and comorbid chronic pain. Notably, 94% rated it as either “more effective” or “much more effective” for diabetic peripheral neuropathic pain. Psychiatrists reported a high perceived efficacy of duloxetine: 94% rated it as “more effective” or “much more effective” for diabetic peripheral neuropathy, and 93% gave similarly positive ratings for general neuropathic pain. For somatization, 70% found it “effective” or “very effective”, and 83% observed improvements in quality of life for many of their patients. Psychiatrists generally reported favorable perceptions of duloxetine’s tolerability profile: 97.5% rated it as the antidepressant associated with the least weight gain, and 82.5% perceived fewer sexual side effects compared to other options. Sedation and gastrointestinal side effects were generally considered mild or less severe. In terms of treatment adherence, 69% rated it as “better” or “much better” than other antidepressants, and 80% found its combination with other antidepressants to be “favorable” or “very favorable”. Overall satisfaction was high, with 99% of psychiatrists reporting being either “satisfied” or “very satisfied” with its use. The side effect profile was generally viewed as manageable, with low perceived rates of weight gain, sedation, and sexual dysfunction. Furthermore, 96% of respondents expressed a willingness to recommend duloxetine to their colleagues. Conclusions: Psychiatrists reported highly favorable attitudes toward duloxetine, viewing it as a flexible treatment option in routine care. However, these findings reflect clinicians’ subjective perceptions rather than objective clinical outcomes and should be interpreted accordingly. Full article

Background/Objectives: Telehealth enhances access to specialty care, but stakeholder perspectives are often overlooked. The objective was to evaluate participant and provider satisfaction with a novel telehealth-enabled home safety program. Methods: This is a sub-investigation of a non-randomized pilot study of a novel telehealth-enabled home safety program that enrolled 23 persons with Parkinson’s Disease (PwPs) at risk for falls and their respective care partners (CPs). Dyads participated in four to six televisits over three months, where they performed “virtual home tours” using a mobile platform (tablet mounted on a rolling stand) with a physical therapist to identify and mitigate environmental fall hazards. Satisfaction was assessed using PI-developed surveys and open feedback. Mobile platform usability was assessed with the System Usability Scale (SUS). Results: A total of 95.65% of dyads were very to extremely satisfied with the entire program overall, and the therapist indicated the same for 73.91% of the dyads. Additionally, 95.65% of dyads reported gaining new awareness of home fall hazards. Difficulties maneuvering the mobile platform, using a tablet, and connectivity issues were common challenges noted. The mean score on SUS for the mobile platform was 65, indicating poor perceived usability, and most dyads indicated they would have preferred using a smartphone for the program. Other priorities, including competing health and personal obligations, along with resistance to change, were the primary barriers to implementing program recommendations. Conclusions: Our novel telehealth-enabled home safety program was well-received by patients and the study therapist. Using a smartphone and troubleshooting connectivity issues might help further improve the usability and accessibility of this program. Full article

Background: Penile prosthesis implantation (PPI) is an established treatment for erectile dysfunction (ED). Nevertheless, the effectiveness of and satisfaction with PPI in mainly psychogenic ED compared to mainly organic ED patients remain underexplored. Aim: To evaluate patient satisfaction outcomes following PPI in individuals diagnosed as mainly psychogenic ED vs. mainly organic ED. Methods: Twenty-five patients with psychogenic ED who underwent PPI were included. Data were collected from medical records and a follow-up assessment was done using the Quality of Life and Sexuality with Penile Prosthesis (QolSPP) questionnaire. Additionally, the patients filled out an ad hoc questionnaire including self-reported satisfaction rated on a 1-to-10 scale, the Global Assessment Questionnaire-Questions 1 and 2 (GAQ-1, 2), and the Sexual Encounter Profile Questions 2 and 5 (SEP-2, 5). Results were compared with those of 36 patients with mainly organic ED (control) for comparative analysis. Results: In the psychogenic ED group, 96% reported improved erections, 92% felt more confident initiating sex, 92% achieved penetration and 95% had satisfactory sexual encounters. The overall satisfaction score was 8.71 on a 10-point scale. Comparative analysis using the QolSPP questionnaire revealed statistically significant differences favouring the psychogenic group in 8 of 16 questions, regarding prosthesis satisfaction and overall well-being. Surgical complications were noted in 16% of the psychogenic group, compared to a 2.8% complication rate in the organic ED control group. Conclusions: The findings indicate high levels of satisfaction with PPI among patients with psychogenic ED, comparable to those with organic ED. However, an increase in complications in the psychogenic cohort highlights the need for careful consideration of surgical risks in this population. Full article

Introduction: Assessing the quality of patient care within healthcare systems remains a multifaceted challenge due to varying definitions of “quality” and the complexity of care delivery structures worldwide. Patient-centeredness, institutional responsiveness, and contextual adaptability are increasingly recognized as core pillars in quality assessment. Objective: This narrative literature review aims to explore conceptual models and practical frameworks for evaluating healthcare quality, emphasizing tools that integrate technical, functional, and emotional dimensions and proposing a comprehensive model adaptable to diverse health system contexts. Methodology: A systematic literature search was conducted in the PubMed, Scopus, and Cochrane Library databases, covering the years 2000 to 2024. Studies were selected based on relevance to quality assessment models, patient satisfaction, accreditation, and strategic improvement methodologies. The review followed a thematic synthesis approach, integrating structural, process-based, and outcome-driven perspectives. Results: Core frameworks such as Donabedian’s model and balancing measures were reviewed alongside evaluation tools like the Dutch Consumer Quality Index, SERVQUAL, and Importance–Performance Analysis (IPA). These models revealed significant gaps between patient expectations and actual service delivery, especially in functional and emotional quality dimensions. This review also identified limitations related to contextual generalizability and bias. A novel integrative model is proposed, emphasizing the dynamic interaction between institutional structure, clinical processes, and patient experience. Conclusions: High-quality healthcare demands a multidimensional approach. Integrating conceptual frameworks with context-sensitive strategies enables healthcare systems to align technical performance with patient-centered outcomes. The proposed model offers a foundation for future empirical validation, particularly in resource-limited or hybrid settings. Full article

(1) Background: The Peruvian healthcare system is widely regarded as deficient, with ongoing improvements identified as a key area of need. This study sought to assess user satisfaction and the quality of care in two public hospitals in Trujillo. (2) Methods: A non-experimental, cross-sectional, and correlational study was carried out. A group of 384 people who used two public hospitals in the city of Trujillo was studied. The people in the study were chosen based on the researchers’ convenience sampling. Information was collected using a survey based on the SERVQUAL model. This survey was used to evaluate the quality of service. Descriptive and inferential analyses were performed, including Spearman’s correlation and multinomial logistic regression to assess associations and identify key predictors of perceived service quality. (3) Results: The results indicated that 97.66% of the users perceived a low quality of care and 100% expressed dissatisfaction with the services. The most critical dimensions were reliability and responsiveness, while tangible items obtained better results. A positive correlation (rho = 0.723) was identified between quality of care and user satisfaction, with empathy (rho = 0.559) and safety (rho = 0.543) emerging as the most influential dimensions. (4) Conclusions: Responsiveness and Security were identified as key predictors of the perceived service quality in two public hospitals in Trujillo, Peru. Despite high empathy correlations, only timely care and safety significantly influenced satisfaction. The findings align with SDG 3, calling for improved efficiency and humanized care in public health services. Full article

Background: The Kidney Disease and Quality of Life Short Form (KDQOL-SF™ 1.3) is widely used to assess health-related quality of life (HRQoL) in patients with end-stage renal disease. However, no prior validation had been conducted in Kazakhstan, where both Kazakh and Russian are commonly spoken. This study aimed to validate the Kazakh and Russian versions of the KDQOL-SF™ 1.3 and to identify predictors of HRQoL among hemodialysis patients in Kazakhstan. Methods: A cross-sectional survey was conducted among 217 adult hemodialysis patients from February to April 2025 using a mixed-methods approach (in-person interviews and online data collection). Psychometric testing included Cronbach’s alpha, floor and ceiling effect analysis, and Pearson correlations with self-rated overall health. Multiple linear regression was used to identify predictors of the Kidney Disease Component Summary (KDCS), Physical Component Summary (PCS), and Mental Component Summary (MCS) scores. Results: Both language versions demonstrated acceptable to excellent internal consistency (Cronbach’s α = 0.692–0.939). Most subscales were significantly correlated with self-rated health, supporting construct validity. Regression analyses revealed that greater satisfaction with care, better economic well-being, and more positive dialysis experiences were significant predictors of higher KDCS and MCS scores. Lower PCS scores were associated with female gender, comorbidities, and financial burden. Importantly, financial hardship and access challenges emerged as strong negative influences on HRQoL, underscoring the role of socioeconomic and care-related factors in patient well-being. Conclusions: The KDQOL-SF™ 1.3 is a valid and reliable tool for assessing quality of life among Kazakh- and Russian-speaking hemodialysis patients in Kazakhstan. Integrating this instrument into routine clinical practice may facilitate more personalized, patient-centered care and help monitor outcomes beyond traditional clinical indicators. Addressing economic and access-related barriers has the potential to significantly improve both physical and mental health outcomes in this vulnerable population. Full article

Background: Medication adherence is essential for managing chronic conditions, while non-adherence remains a widespread issue, leading to poorer health outcomes and higher healthcare costs. This study aimed to identify key adherence barriers, explore their relationship with patient satisfaction, and assess their impact on overall well-being among ambulatory patients in Albania. Methods: A cross-sectional study was conducted in three public urban health centers in Vlora, Albania, between November 2024 and January 2025. A total of 80 ambulatory patients were recruited using convenience sampling. Data were collected through face-to-face interviews using validated questionnaires, including the Adherence Barriers Questionnaire (ABQ), the Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ), and the Patient Health Questionnaire (PHQ-9) for depression screening. Results: The study included 80 ambulatory patients (mean age 66.7 years; 48.7% female), predominantly diagnosed with diabetes (42.5%) and rheumatic diseases (36.3%). All participants reported at least one adherence barrier, with 92.5% experiencing multiple barriers. The most common were financial burden (91.3%) and fear of side effects (77.5%). A significant positive correlation was found between adherence barriers and depression severity (ρ = 0.518, p < 0.0001), while patient satisfaction did not significantly influence adherence barriers (ρ = −0.217, p = 0.053) or depression severity (ρ = −0.004, p = 0.969). Multiple regression analysis showed that higher depression severity (p = 0.0049) was significantly associated with greater adherence barriers, while postgraduate education was associated with fewer barriers (p = 0.0175). Conclusions: Financial burden, fear of side effects, and psychological distress are key barriers to adherence among Albanian ambulatory patients. Although there are limitations inherent to the cross-sectional design and modest sample size, our findings highlight the potential benefit of routine mental health screening, targeted financial support, and improved patient education on medication management within primary care. These insights may help inform future research and interventions aimed at enhancing adherence and overall well-being. Patient satisfaction did not significantly impact adherence or depression. Targeted interventions focusing on financial support, mental health care, and patient education are needed to improve adherence and patient well-being. These findings underscore the need for integrated mental health and adherence support strategies within routine primary care services. Full article