PURPOSE OF REVIEW: A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors. RECENT FINDINGS: Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services. SUMMARY: In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.
- Publikační typ
- časopisecké články MeSH
BACKGROUND: eHealth was widely used during the COVID-19 pandemic. Much attention was given to the technical aspects of eHealth, such as infrastructure and cost, while the soft skill of compassion remained underexplored. The wide belief in compassionate care is more compatible with in-person interactions but difficult to deliver via e-platforms where personal and environmental clues were lacking urges studying this topic. PURPOSE: to explore the experience of delivering compassionate care via an eHealth platform among healthcare professionals working to contain the COVID-19 pandemic. METHODS: A qualitative study design with an interpretative phenomenological analysis approach was used. Twenty healthcare professionals (fifteen nurses and five physicians) who provided care using technology platforms, such as telephone hotlines, mobile apps, and social media, were interviewed individually. ETHICAL CONSIDERATIONS: Permission to conduct the study was obtained from the Institutional Review Board. RESULTS: Participants stated that "eHealth enabled compassionate care during the pandemic" by ensuring patient care availability and accessibility. They shared experiences of "communicating compassionate care via eHealth" with suggestions of addressing patients' needs with empathy, adopting a structured protocol to guide eHealth communication, and using more advanced visual-media methods to promote human-to-human interaction. They recommended "setting realistic mutual expectations" considering the limitations of eHealth in handling complex health situations and staffing shortages. Participants considered "low eHealth literacy hinders compassion." Additionally, they recommended the need for "institutional/system-level support to foster compassionate care." CONCLUSION: Participants recognized the importance of integrating compassion into eHealth services. Promotion of compassionate care requires standardization of eHealth services with institutional and system-level support. This also includes preparing adequate staffing who can communicate compassionate care via eHealth, set realistic expectation, and adjust communication to eHealth literacy level while meeting the needs of their patients.
- MeSH
- COVID-19 * MeSH
- dospělí MeSH
- empatie * MeSH
- kvalitativní výzkum * MeSH
- lidé středního věku MeSH
- lidé MeSH
- pandemie MeSH
- SARS-CoV-2 MeSH
- telemedicína * etika MeSH
- zdravotnický personál psychologie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
This study conducted pairwise and network meta-analysis to evaluate the effectiveness of three mind-body exercise interventions (Tai Chi, Qigong, and yoga) on physical capacity, psychological well-being, and quality of life in stroke patients. The research encompassed 30 studies involving 2107 participants and utilized the Risk of Bias 2.0 tool for quality assessment. Pairwise analysis revealed that all three mind-body exercises significantly enhanced patients' quality of life. Tai Chi demonstrated the most comprehensive improvements in balance, limb motor function, activities of daily living, and depression. Network meta-analysis indicated that Qigong was the most effective in improving balance and quality of life for post-stroke patients, followed by Tai Chi. These findings underscore the positive impact of mind-body exercises on both physical and psychosocial outcomes in stroke patients. However, further research involving rigorously designed and adequately powered trials is necessary to enhance the level of evidence in this area.
- MeSH
- cévní mozková příhoda * MeSH
- činnosti denního života MeSH
- kvalita života MeSH
- lidé MeSH
- síťová metaanalýza MeSH
- taiči * MeSH
- terapie cvičením MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- systematický přehled MeSH
BACKGROUND: A previous randomized controlled trial (NeCR) has indicated the effectiveness of nurse-led eHealth cardiac rehabilitation (CR) on modifying the behaviors of patients with coronary heart disease. However, limited qualitative studies explore the experiences of using eHealth CR that led to such benefits. OBJECTIVE: The study aimed to explore the experiences of patients who participated in the NeCR program. METHODS: A descriptive qualitative study was employed among 20 intervention group patients who used the eHealth CR website and ranked differently (0-35th percentile, >35th percentile, and > 70% percentile) in the improvement of health-promoting behaviors. RESULTS: Five themes emerged: the NeCR program has promoted behavior change and mitigated emotional distress post-CHD. Patients described how the NeCR influenced cognitive determinants (knowledge and skill acquisition, having a roadmap, self-monitoring, and self-evaluation and resolution) and offered social support (professional counseling and peer interaction via multimedia chat) toward such change. Patients also appreciated the high affordability, accessibility, reliability of the NeCR, and expressed psychological, contextual, and technical barriers. CONCLUSIONS: Providing eHealth CR during patient discharge is warranted as an affordable, accessible, and reliable alternative to obtain health benefits. Extensive behavior change techniques, actionable CR guidance, and increased awareness are widely perceived enablers. Offering professional support and moderation is critical for early post-discharge consultation and for introducing direct peer interaction to reassure patients.
- MeSH
- kardiovaskulární rehabilitace * metody MeSH
- koronární nemoc * rehabilitace MeSH
- lidé MeSH
- následná péče MeSH
- propuštění pacienta MeSH
- reprodukovatelnost výsledků MeSH
- role ošetřovatelky MeSH
- telemedicína * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- randomizované kontrolované studie MeSH
BACKGROUND: A previous randomized controlled trial (NeCR) has indicated the effectiveness of nurse-led eHealth cardiac rehabilitation (CR) on modifying the behaviors of patients with coronary heart disease. However, limited qualitative studies explore the experiences of using eHealth CR that led to such benefits. OBJECTIVE: The study aimed to explore the experiences of patients who participated in the NeCR program. METHODS: A descriptive qualitative study was employed among 20 intervention group patients who used the eHealth CR website and ranked differently (0-35th percentile, >35th percentile, and > 70% percentile) in the improvement of health-promoting behaviors. RESULTS: Five themes emerged: the NeCR program has promoted behavior change and mitigated emotional distress post-CHD. Patients described how the NeCR influenced cognitive determinants (knowledge and skill acquisition, having a roadmap, self-monitoring, and self-evaluation and resolution) and offered social support (professional counseling and peer interaction via multimedia chat) toward such change. Patients also appreciated the high affordability, accessibility, reliability of the NeCR, and expressed psychological, contextual, and technical barriers. CONCLUSIONS: Providing eHealth CR during patient discharge is warranted as an affordable, accessible, and reliable alternative to obtain health benefits. Extensive behavior change techniques, actionable CR guidance, and increased awareness are widely perceived enablers. Offering professional support and moderation is critical for early post-discharge consultation and for introducing direct peer interaction to reassure patients.
- MeSH
- kardiovaskulární rehabilitace * metody MeSH
- koronární nemoc * rehabilitace MeSH
- lidé MeSH
- následná péče MeSH
- propuštění pacienta MeSH
- reprodukovatelnost výsledků MeSH
- role ošetřovatelky MeSH
- telemedicína * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- randomizované kontrolované studie MeSH
OBJECTIVE: This systematic review and meta-analysis aimed to analyze and synthesize the evidence on the effectiveness of virtual reality (VR) interventions in the prevention of pain, fear and anxiety during burn wound care procedures. METHODS: In September and October 2021, PubMed, Scopus, Cochrane Library and Web of Science were searched for relevant randomized controlled and crossover studies. Two independent authors described the following inclusion criteria for the search: patients undergoing burn wound care with applied VR treatment compared to any other or non-VR intervention. From a total of 1171 records, 25 met the inclusion criteria. After full-text screening, seven publications were excluded. The risk of bias was assessed for 18 studies by two independent authors. RevMan 5.4 was used for the statistical analysis, meta-analysis and visual presentation of the results. RESULTS: The meta-analysis showed a significant difference between VR treatment and standard care when analyzing pain outcome during wound care procedures (SMD = -0.49; 95% CI [-0.78, -0.15]; I2 = 41%) and in subgroup analysis when immersive VR was incorporated (SMD = -0.71; 95% CI [-1.07, -0.36]; I2 = 0%). No significant differences were found between VR treatment and standard care for range of motion outcome (SMD = 0.44; 95% CI [-0.23, 1.11]; I2 = 50%). CONCLUSIONS: VR seems to be an effective therapeutic support in burn wound care procedures for reducing pain. However, this systematic review and meta-analysis highlights the need for more research into the use of VR as a distraction method. Studies on larger groups using similar conditions can provide unequivocal evidence of the effectiveness of VR and enable the inclusion of such intervention in standard medical procedures.
- MeSH
- bolest MeSH
- lidé MeSH
- management bolesti metody MeSH
- popálení * terapie MeSH
- terapie pomocí virtuální reality * MeSH
- virtuální realita * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- přehledy MeSH
- systematický přehled MeSH
