RESUMO
Background: Medical training through specialization and even subspecialization has contributed significantly to clinical excellence in treating single acute conditions. However, the needs of complex patients go beyond single diseases, and there is a need to identify a group of generalists who are able to deliver cost-effective, holistic care to patients with multiple comorbidities and multi-faceted needs. Community hospitals (CHs) are a critical part of Singapore's shift toward a community-centric care model as the population ages. Community Hospitals of the Future ("CHoF") represent a series of emerging conversations around approaches to reimagine and redesign care delivery in a CH setting in response to changing care needs. Methods: An environmental scan in the CH landscape using semi-structured interviews was conducted with 26 senior management, management, and working-level staff from seven community hospitals in Singapore. This environmental scan aims to understand the current barriers and future opportunities for CHs; to guide how CHs would have to shift in terms of (i) care delivery and resourcing, (ii) information flow, and (iii) financing; and to conceptualize CHoF to meet the changing care needs in Singapore. Findings: The analysis of all transcripts revealed four broad sections of themes: (i) current care delivery in CHs, (ii) current challenges of CHs, (iii) future opportunities, and (iv) challenges in reimagining CHs. An emerging theme regarding the current key performance indicators used also surfaced. Resource limitations and financing structure of CH surfaced as limitations to expanding its capability. However, room for expansion of CH roles tapping on the current expertise were acknowledged and shared. Conclusion: With the current issues of (i) rapidly aging population, (ii) specialist-centric healthcare system, and (iii) fragmentation of care ecosystem, there is a need to further understand how CHoF can be modeled to better tackle them. Therefore, several important questions have been devised to land us in a microscopic view on how to develop CHoF in the right constructs. Demographic changes, patient segmentation, service and regulatory parameters, patient's perspective, care delivery, and financial levers (or lack of) are some of the categories that the interview questions looked into. Therefore, the data gathered would be used to guide and refine the concept of CHoF.
RESUMO
Background: There is a significant dissatisfaction rate in patients undergoing total knee arthroplasty (TKA), and poor mental health in patients is increasingly recognized as a major contributor to dissatisfaction. The aim was to review the effectiveness of cognitive behavioural therapy (CBT) in improving pain and functional outcomes of patients undergoing TKA and highlight important aspects that may be crucial for improvement. Methods: A systematic search was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Studies were included if they were randomized control trials that included patients undergoing unilateral or bilateral TKA, with CBT as an intervention compared against usual care, and reported outcomes in pain, knee function and any psychological outcomes as measured. Results: Eight RCTs were selected which included 683 participants. The timings of CBT delivery, profiles of therapists, and outcome measures reported varied across the studies. Overall, 3 studies reported significant improvement in pain outcomes, 3 studies reported significant improvement in functional outcomes and 5 studies reported significant improvements in psychological outcomes. Conclusion: Current evidence does not support the efficacy of CBT as current literature is too heterogenous. Further studies with homogenous CBT methods are required to further ascertain the true relationship between CBT and postoperative outcomes of TKA. Future studies should consider the points set out in this review, such as the importance of revisiting CBTskills, providing individualized therapy, having a supervisory team to support the fidelity of interventions, and identifying which group of patients would best benefit from CBT.
RESUMO
While bacteria can be beneficial to our health, their deadly pathogenic potential has been an ever-present concern exacerbated by the emergence of drug-resistant strains. As such, there is a pressing urgency for an enhanced understanding of their gene function and regulation, which could mediate the development of novel antimicrobials. Transcriptomic analyses have been established as insightful and indispensable to the functional characterization of genes and identification of new biological pathways, but in the context of bacterial studies, they remain limited to species-specific datasets. To address this, we integrated the genomic and transcriptomic data of the 17 most notorious and researched bacterial pathogens, creating bacteria.guru, an interactive database that can identify, visualize, and compare gene expression profiles, coexpression networks, functionally enriched clusters, and gene families across species. Through illustrating antibiotic resistance mechanisms in P. aeruginosa, we demonstrate that bacteria.guru could potentially aid in discovering multi-faceted antibiotic targets and, overall, facilitate future bacterial research. AVAILABILITY: The database and coexpression networks are freely available from https://bacteria.guru/. Sample annotations can be found in the supplemental data.
