Search Results (501)

Background/Objectives: Health education plays a vital role in training health professionals and caregivers, supporting both prevention and the promotion of self-care. In this context, technology serves as a valuable ally by enabling continuous and flexible learning. Among the various domains of health education, nutrition stands out as a key element in the management of Amyotrophic Lateral Sclerosis (ALS), helping to prevent malnutrition and enhance patient well-being. Accordingly, this study aimed to evaluate the effectiveness of the teaching and learning processes within a learning pathway focused on food and nutrition in the context of ALS. Methods: This study adopted a longitudinal, quantitative design. The learning pathway, titled “Food and Nutrition in ALS,” consisted of four self-paced and self-instructional Massive Open Online Courses (MOOCs), offered through the Virtual Learning Environment of the Brazilian Health System (AVASUS). Participants included health professionals, caregivers, and patients from all five regions of Brazil. Participants had the autonomy to complete the courses in any order, with no prerequisites for enrollment. Results: Out of 14,263 participants enrolled nationwide, 182 were included in this study after signing the Informed Consent Form. Of these, 142 (78%) completed at least one course and participated in the educational intervention. A significant increase in knowledge was observed, with mean pre-test scores rising from 7.3 (SD = 1.8) to 9.6 (SD = 0.9) on the post-test across all courses (p < 0.001). Conclusions: The self-instructional, technology-mediated continuing education model proved effective in improving participants’ knowledge about nutrition in ALS. Future studies should explore knowledge retention, behavior change, and the impact of such interventions on clinical outcomes, especially in multidisciplinary care settings. Full article

Objective: This study aimed to improve the understanding of the lives of patients with chronic neuropathic pain planned for invasive motor cortex stimulation (iMCS) and assess their expectations towards this intervention and its impact. Methods: Semi-structured face-to-face interviews were conducted until saturation of data was reached. Patients were recruited from one university medical center in the Netherlands. All interviews were audio-recorded, transcribed verbatim, and subjected to thematic analysis using iterative and inductive coding by two researchers independently. Results: Fifteen patients were included (11 females; mean age 63 ± 9.4 yrs). Analysis of the coded interviews revealed seven themes: (1) the consequences of living with chronic neuropathic pain; (2) loss of autonomy and performing usual activities; (3) balancing energy and mood; (4) intimacy; (5) feeling understood and accepted; (6) meaning of life; and (7) the expectations of iMCS treatment. Conclusions: This is the first qualitative study that describes the suffering of patients with chronic neuropathic pain, and their expectations prior to invasive brain stimulation. Significant themes in the lives of patients with chronic pain have been brought to light. The findings strengthen communication between physicians, caregivers, and patients. Practice Implications: The insights gathered from the interviews create a structured framework for comprehending the values and expectations of patients living with central pain and reveal the impact of symptoms due to the central pain. This knowledge improves the communication between physicians and caregivers on one side and the patient on the other side. Furthermore, the framework enhances the capacity for shared decision-making, particularly in managing expectations related to iMCS. Full article

Objectives: Digitalization has revolutionized dentistry, introducing advanced technological tools that improve diagnostic accuracy and access to healthcare. This study aims to examine the effects of integrating digital technologies into the dental field, analyzing the associated benefits and risks, with particular paid attention to the therapeutic relationship and decision-making autonomy. Materials and Methods: A literature search was conducted in PubMed, Scopus, Web of Science, and Cochrane Library, complemented by Google Scholar for non-indexed studies. The selection criteria included peer-reviewed studies published in English between 2014 and 2024, focusing on digital dentistry, artificial intelligence, and medical ethics. This is a narrative review. Elements of PRISMA guidelines were applied to enhance transparency in reporting. Results: The analysis highlighted that although digital technologies and AI offer significant benefits, such as more accurate diagnoses and personalized treatments, there are associated risks, including the loss of empathy in the dentist–patient relationship, the risk of overdiagnosis, and the possibility of bias in the data. Conclusions: The balance between technological innovation and the centrality of the dentist is crucial. A human and ethical approach to digital medicine is essential to ensure that technologies improve patient care without compromising the therapeutic relationship. To preserve the quality of dental care, it is necessary to integrate digital technologies in a way that supports, rather than replaces, the therapeutic relationship. Full article

Objectives: This study explored perceptions, experiences, and outcomes associated with the choice of insulin therapies among pediatric patients with type 1 diabetes mellitus (T1D). Methods: This study included 20 adolescents (8 male and 12 female) with T1D, with a mean age of 15.05 ± 0.91 years, a mean diabetes duration of 5.19 ± 1.2 years, and a mean most recent HbA1c of 7.03 ± 0.16%. Ten of the participants were using an insulin pump (n = 10) and another 10 had either refused (n = 7) or discontinued (n = 3) insulin pump therapy. A qualitative inductive method was employed, using in-depth individual interviews. The interview material was transcribed verbatim and grounded theory was used to analyze the verbal material. Results: Four main thematic categories were identified from the narrations that captured both common and divergent perceptions of insulin pump users versus non-users: (1) adjusting to the lifelong diagnosis, (2) exposing diabetes versus hiding it, (3) becoming autonomous and integrating insulin pump therapy into daily life, and (4) worrying over the pump. The third theme, capturing autonomy and integration, surfaced as the core thematic category of this study. Conclusions: This grounded theory study revealed that, by using insulin pump therapy, adolescent T1D patients can enhance their autonomy and facilitate the integration of insulin treatment into their life. This study identified processes that inform diabetes education and contribute to ameliorating gaps in the uptake and maintenance of pump therapy in pediatric care. Full article

Background/Objectives: Respectful maternity care involves privacy, dignity, and informed choice within the process of delivery as stipulated by the World Health Organization (WHO). Informed consent is a cornerstone of patient-centered care, representing not just a formal document, but an ongoing ethical and clinical process through which women are offered objective, understandable information to support autonomous, informed decision-making. Methods: This narrative review critically examines the literature on informed consent in maternity care, with particular attention to both obstetric-led and midwifery-led models of care. In addition to identifying institutional, cultural, and systemic obstacles to its successful implementation, the review examines the definition and application of informed consent in perinatal settings and evaluates its effects on women’s autonomy and satisfaction with care. Results: Important conclusions emphasize that improving women’s experiences and minimizing needless interventions require active decision-making participation, a positive provider–patient relationship, and ongoing support from medical professionals. However, significant gaps persist between legal mandates and actual practice due to provider attitudes, systemic constraints, and sociocultural influences. Women’s experiences of consent can be more effectively understood through the use of instruments such as the Mothers’ Respect (MOR) Index and the Mothers’ Autonomy in Decision Making (MADM) Scale. Conclusions: To promote genuinely informed and considerate maternity care, this review emphasizes the necessity of legislative reform and improved provider education in order to close the gap between policy and practice. Full article

Background: Artificial intelligence (AI) is being increasingly promoted as a means to enhance diagnostic accuracy, to streamline workflows, and to improve overall care quality in primary care. However, empirical evidence on how primary care physicians (PCPs) perceive, engage with, and emotionally respond to AI technologies in everyday clinical settings remains limited. Concerns persist regarding AI’s usability, transparency, and potential impact on professional identity, workload, and the physician–patient relationship. Methods: This qualitative study investigated the lived experiences and perceptions of 28 PCPs practicing in diverse outpatient settings across Germany. Participants were purposively sampled to ensure variation in age, practice characteristics, and digital proficiency. Data were collected through in-depth, semi-structured interviews, which were audio-recorded, transcribed verbatim, and subjected to rigorous thematic analysis employing Mayring’s qualitative content analysis framework. Results: Participants demonstrated a fundamentally ambivalent stance toward AI integration in primary care. Perceived advantages included enhanced diagnostic support, relief from administrative burdens, and facilitation of preventive care. Conversely, physicians reported concerns about workflow disruption due to excessive system prompts, lack of algorithmic transparency, increased cognitive and emotional strain, and perceived threats to clinical autonomy and accountability. The implications for the physician–patient relationship were seen as double-edged: while some believed AI could foster trust through transparent use, others feared depersonalization of care. Crucial prerequisites for successful implementation included transparent and explainable systems, structured training opportunities, clinician involvement in design processes, and seamless integration into clinical routines. Conclusions: Primary care physicians’ engagement with AI is marked by cautious optimism, shaped by both perceived utility and significant concerns. Effective and ethically sound implementation requires co-design approaches that embed clinical expertise, ensure algorithmic transparency, and align AI applications with the realities of primary care workflows. Moreover, foundational AI literacy should be incorporated into undergraduate health professional curricula to equip future clinicians with the competencies necessary for responsible and confident use. These strategies are essential to safeguard professional integrity, support clinician well-being, and maintain the humanistic core of primary care. Full article

There are numerous methods available for evaluating leg length discrepancy (LLD), ranging from classic clinical techniques to advanced systems based on sophisticated and expensive equipment, as well as rudimentary manual adjustment mechanisms for the prosthesis by specialists. However, unilateral amputee patients often face difficulties in accessing these solutions. They either lack the necessary equipment or do not have a medical specialist available to assist them in preventing postural imbalances. This study proposes the first smartphone-based computer vision system that evaluates and automatically compensates for leg length discrepancy in transtibial prostheses, offering a low-cost, accessible, and fully autonomous alternative to existing solutions. The method was tested using complex metrological systems. The application of the proposed method demonstrated its effectiveness in correcting simulated LLD for various values. Experimental validation demonstrated the system’s ability to restore symmetry in simulated LLD cases within the 1–10 mm range, achieving a relative compensation error of 2.44%. The proposed method for correcting LLD, based on computer vision and integrated into a smartphone, represents a significant advancement in restoring symmetry for unilaterally amputated patients. This technology could provide an accessible, efficient solution, thereby reducing the need for frequent prosthetist visits and enhancing user autonomy. Full article

Parkinson’s disease (PD) is a progressive neurological disorder with motor and non-motor symptoms that are inadequately addressed by current pharmacological and surgical therapies. Brain–computer interfaces (BCIs), particularly those based on electroencephalography (eBCIs), provide a promising, non-invasive approach to personalized neurorehabilitation. This narrative review explores the clinical potential of BCIs in PD, discussing signal acquisition, processing, and control paradigms. eBCIs are well-suited for PD due to their portability, safety, and real-time feedback capabilities. Emerging neurophysiological biomarkers—such as beta-band synchrony, phase–amplitude coupling, and altered alpha-band activity—may support adaptive therapies, including adaptive deep brain stimulation (aDBS), as well as motor and cognitive interventions. BCIs may also aid in diagnosis and personalized treatment by detecting these cortical and subcortical patterns associated with motor and cognitive dysfunction in PD. A structured search identified 11 studies involving 64 patients with PD who used BCIs for aDBS, neurofeedback, and cognitive rehabilitation, showing improvements in motor function, cognition, and engagement. Clinical translation requires attention to electrode design and user-centered interfaces. Ethical issues, including data privacy and equitable access, remain critical challenges. As wearable technologies and artificial intelligence evolve, BCIs could shift PD care from intermittent interventions to continuous, brain-responsive therapy, potentially improving patients’ quality of life and autonomy. This review highlights BCIs as a transformative tool in PD management, although more robust clinical evidence is needed. Full article

Background/Objectives: The study aims to identify key cognitive and non-cognitive variables (e.g., clinical, neuroimaging, and genetic data) predicting cognitive decline in Parkinson’s disease (PD) patients using machine learning applied to a sample (N = 618) from the Parkinson’s Progression Markers Initiative database. Traditional research has mainly employed explanatory approaches to explore variable relationships, rather than maximizing predictive accuracy for future cognitive decline. In the present study, we implemented a predictive framework that integrates a broad range of baseline cognitive, clinical, genetic, and imaging data to accurately forecast changes in cognitive functioning in PD patients. Methods: An artificial neural network was trained on baseline data to predict general cognitive status three years later. Model performance was evaluated using 5-fold stratified cross-validation. We investigated model interpretability using explainable artificial intelligence techniques, including Shapley Additive Explanations (SHAP) values, Group-Wise Feature Masking, and Brute-Force Combinatorial Masking, to identify the most influential predictors of cognitive decline. Results: The model achieved a recall of 0.91 for identifying patients who developed cognitive decline, with an overall classification accuracy of 0.79. All applied explainability techniques consistently highlighted baseline MoCA scores, memory performance, the motor examination score (MDS-UPDRS Part III), and anxiety as the most predictive features. Conclusions: From a clinical perspective, the findings can support the early detection of PD patients who are more prone to developing cognitive decline, thereby helping to prevent cognitive impairments by designing specific treatments. This can improve the quality of life for patients and caregivers, supporting patient autonomy. Full article

Background/Objectives: Childhood cancer leads to significant physical, cognitive, and psychosocial consequences that adversely affect the development and quality of life. Occupational Therapy (OT) has the potential to mitigate these effects. However, its integration into pediatric oncology care in Spain remains limited and underexplored. This study aims to examine the availability, characteristics, and perceived impact of OT services within pediatric oncology units across Spain and to identify key barriers to their implementation. Methods: A descriptive, cross-sectional study using a mixed-methods approach was conducted. An online questionnaire was distributed to healthcare professionals working in pediatric oncology units nationwide. Quantitative data were analyzed using descriptive statistics, Fisher’s exact test, and odds ratios with 95% confidence intervals to explore associations. Effect sizes were calculated using Cramér’s V where applicable. Qualitative responses underwent inductive thematic analysis. Results: A total of 42 hospital centers from 12 autonomous communities participated. Only 16 reported having OT services in pediatric oncology, with notable regional disparities. A significant proportion of respondents were unaware of the integration of OT in their institutions. Identified barriers included lack of resources, insufficient specialized training, and limited institutional recognition of OT. Nonetheless, professionals familiar with OT interventions reported positive outcomes, particularly in improving patients’ functional autonomy, emotional well-being, and social participation. Conclusions: OT remains insufficiently integrated into pediatric oncology care in Spain. To optimize the quality of care, it is essential to address educational, structural, and institutional challenges and promote OT as a key component of multidisciplinary teams. Full article

Background and Objectives: The worldwide shift toward psychiatric deinstitutionalization has aimed to enhance patient autonomy, social integration, and overall quality of life. However, limited studies have examined how concurrent substance use—particularly alcohol, marijuana, and inhalable drugs—affects clinical outcomes in these populations. This study aimed to evaluate psychiatric patients with varying degrees of institutionalization and investigate whether substance use complicates or exacerbates treatment outcomes. We hypothesized that individuals using substances would demonstrate worse psychosocial functioning, higher healthcare costs, and increased readmission rates. Methods: We performed a cross-sectional study of 95 participants recruited from long-term care facilities. Participants completed the SF-36 survey validated in Romanian. Financial data were collected to gauge direct and indirect healthcare expenditures. Results: Results indicated that 34.7% of participants reported alcohol use, 12.6% used marijuana, and 9.5% used inhalable substances. Substance-using patients experienced higher mean hospitalization costs of approximately USD 3251.8, compared to non-users (USD 2743.6, p = 0.032). Quality-of-life scores were significantly lower among substance users (mean SF-36 score 58.4 vs. 66.7, p = 0.027). Rates of relapse and readmission were also notably higher in the substance-using cohort (42.1%) relative to non-users (29.8%, p = 0.041). Conclusions: To our knowledge, this is the first Romanian study—and one of only a handful in Europe—to quantify how specific substance-use profiles simultaneously alter quality of life and direct healthcare costs in a deinstitutionalized psychiatric population. Our findings highlight the need for integrated interventions targeting both mental health and substance abuse. Full article

Introduction: The rapid adoption of telerehabilitation in physiotherapy and occupational therapy has transformed healthcare delivery, offering new opportunities for patient-centered care. However, its implementation raises critical ethical and equity-related questions that require proactive strategies to ensure fair and responsible practices. This review examines how ethical disparities and equity-related challenges are reflected in the existing literature on telerehabilitation. Objective: To investigate the presence of ethical-disparity and equity-related aspects in the provision of telerehabilitation in physiotherapy and occupational therapy as reflected in the literature. Data Sources: A rapid review methodology was employed to explore ethical and equity-related challenges in telerehabilitation. The search included articles published in English and French between 2010 and 2023 from the Medline and Embase databases. Study Selection: Articles were selected based on their relevance to ethical and equity considerations in telerehabilitation. A total of 1750 sources were initially identified, with 67 articles meeting the eligibility criteria for inclusion in this review. Data Extraction: Data were extracted based on variables such as age, gender, ethnicity, morbidity, cost, privacy, confidentiality, and autonomy. The data extraction and analysis were guided by the Progress Plus and Metaverse Equitable Rehabilitation Therapy frameworks. Data Synthesis: The findings were analyzed and discussed using a narrative synthesis approach. The results highlighted key ethical considerations, including adverse events, patient autonomy, and privacy issues. Equity-related aspects were examined, access to rehabilitation services and gender considerations. Disparities in technology access, socioeconomic status, and ethnicity were also identified. Conclusions: This rapid review highlights the growing relevance of ethical and equity considerations in the design and delivery of telerehabilitation within physiotherapy and occupational therapy. The findings show inconsistent reporting and limited depth in addressing key domains such as patient autonomy, privacy, and adverse events, alongside disparities related to age, gender, socioeconomic status, and geographic access. Although telerehabilitation holds promise for expanding access, particularly in underserved areas, this potential remains unevenly realized. The review underscores the critical need for structured, equity-driven, and ethically grounded frameworks such as the Metaverse Equitable Rehabilitation THerapy (MERTH) framework to guide future implementation, research, and policy. Full article

Resilience, the ability to adapt and thrive in the face of adversity, is an essential yet under-recognized determinant of outcomes in patients with chronic kidney disease (CKD) and end-stage kidney disease (ESKD), particularly those undergoing home-based peritoneal dialysis (PD). While studies have shown that PD can enhance autonomy and quality of life compared to in-center hemodialysis (IHD), it also places substantial emotional, physical and self-management demands on patients. Despite this, resilience is rarely assessed or systematically supported in PD care. This narrative review highlights the importance of resilience in CKD and dialysis populations and extends its application to the unique psychosocial challenges faced by PD patients. This review also introduces psychological frameworks of resilience, in particular the GROW model (Good emotions, Reason and purpose, Others and connections, Wellness flexibility), as tools for clinicians to support PD patients in developing optimism, purpose, strong social networks, and emotional adaptability. We also explore how routine, longitudinal assessment of resilience using validated tools can help improve patient well-being, treatment adherence, and long-term outcomes. Full article

Background/Objectives: To avoid becoming mired in prolonged deep dementia, some people seek to hasten death by advance instructions rejecting life-sustaining medical intervention (LSMI) at a point of cognitive decline they define in advance as unacceptable. When the time comes to implement such advance instructions and to allow the person in advanced dementia to die, many clinicians experience moral and ethical qualms. The decision makers face a clash between people’s legally recognized self-determination prerogative to control their post-competence medical fate and the decision makers’ conviction that humane treatment dictates sustaining the well-being, i.e., the physical “best interests,” of the patient who no longer recalls prior instructions grounded in concerns about personal dignity. The authors’ objective here is to provide guidance in resolving this anguishing dilemma confronting medical decision makers. Methods: The authors construct and analyze a case scenario involving a patient in a state of advanced dementia with a clear advance instruction rejecting LSMI at the current point of debilitation, but who is not ostensibly suffering, is experiencing a modicum of life satisfaction, and is making life-affirming utterances. The two lead authors present contrasting views on whether legal and moral factors impel the implementation of the advance directive rejecting treatment or rather dictate life-sustaining medical intervention. Results: At this early stage of jurisprudence involving persons in advanced dementia, there can be no definitive resolution of the difficult legal/moral clash confronting decision makers. Some sources would conclude that persons are legally entitled to define precipitous mental decline and complete dependence on others as intolerably undignified and inconsistent with their self-defined life narrative. Other sources would be guided by humane respect for the contemporary well-being of a non-suffering patient, especially one making life-affirming utterances. Conclusion: Through the lens of this illuminating case and contrasting analyses, readers should better understand how clinicians should weigh advance directives against shifting care preferences subsequently articulated by persons with advanced dementia. Full article

When nurses encounter people in institutional settings who are living with dementia and self-neglecting their hygiene, they are challenged to provide care that respects autonomy while upholding the ethical principles of beneficence and non-maleficence. This study aimed to understand how nurses respond when confronted with patients who decline assistance with personal hygiene and then became physically aggressive. Methods: A qualitative descriptive study employing think-aloud interviewing to explore nurses’ clinical reasoning about how they would proceed with the care of a patient living with dementia who self-neglects their hygiene. Results: Nurses describe many creative ways that they would work with patients to accomplish personal hygiene care in an ideal world. Participants also share the many barriers they experience to providing desired care and instances where they would force care with people who self-neglect their hygiene. Thematic analysis revealed six key themes: non-preferred approaches to care; preferred approaches to care; barriers to actualizing preferred approaches; responding to continued resistance to care; justified use of force; and efforts to minimize harm. Conclusions: This study highlights that ethical nursing practice in dementia care is not simply a matter of following through with best practices. It is an ongoing negotiation, carried out in environments that are often misaligned with nurses’ values. Full article