Conheça o Denny Tavares, educador físico

Neste episódio do Saúde Para Todes vocês vão conferir a conversa que tivemos com o Denny Tavares, ele é profissional de educação física no Núcleo Ampliado de Saúde da Família, da UBS Bom Retiro. No vídeo, ele conta como é ser um profissional trans na rede de saúde.

Leveraging the full expertise of radiographers for improved healthcare delivery.

The role of radiographers in healthcare has evolved significantly from operating imaging equipment to being essential in patient care and diagnosis. In Australia, radiographers play a crucial role in image interpretation, identifying and communicating significant findings to enhance patient outcomes. Preliminary image evaluation (PIE) allows radiographers to interpret images and ensure significant findings are noted, particularly in urgent situations, complementing diagnoses when radiologist reports are unavailable. Despite their potential, many radiographers lack empowerment, leading to delays and adverse patient outcomes. This underutilisation stems from a lack of support and systemic barriers. Radiographers, with their extensive expertise in imaging, are vital for ensuring patient safety and care quality. Policy changes are needed to integrate PIE into standard workflows, allowing radiographers to fully utilise their skills. Recognising and leveraging their expertise will enhance patient care, foster collaboration, and ensure radiographers contribute fully to the healthcare team, ultimately improving patient safety and care quality.

Why MLP Legal Care Should Be Financed as Health Care.

Medical-legal partnership (MLP) integrates the unique expertise of lawyers into collaborative clinical environments. MLP teams meet the needs of individual patients while also detecting structural problems at the root of health inequities and advancing solutions at the institutional, community, and system levels. Yet MLPs today operate in limited settings and survive on scant budgets. Expanding their impact requires secure funding. Financing MLPs as health care can do the following: (1) help address inequity at the point of care; (2) enable expert diagnosis and treatment of nonmedical drivers of health; (3) enhance team-based practice in health care organizations; (4) offer another way for clinicians to participate in advocacy; and (5) bolster a broader movement to increase access to justice.

What Are Epidemiological Foundations for Integrating Legal Services Into Health Care Settings?

Medical-legal partnerships vary widely in how they are structured and use data to inform service delivery. Epidemiological data on certain chronic conditions' prevalence, the incidence of potentially preventable morbidity, and health-harming legal factors also influence approaches to care. This article draws on a pediatric example of how data-driven medical care complements data-driven legal care. This article also considers medical and public health ethical frameworks to guide protected information sharing, promote optimal service delivery, and achieve the best possible medical-legal outcomes.

Resilience and Engagement in Crisis: Fostering Trauma-Informed Care and Patient Partnerships Into the Future.

The COVID-19 pandemic has significantly disrupted patient engagement and exposed long-standing inequities within Canada's healthcare system. As a patient partner and caregiver, the author reflects on the exacerbated challenges during the pandemic, particularly for hardly reached communities and those managing chronic conditions. The crisis highlighted the absence of opportunities for patient partnership, with healthcare organizations halting engagement activities despite an increased need for communication and community involvement. The pandemic underlined the necessity of trauma-informed care and engagement-capable environments (ECE). To address these challenges, the author advocates for integrating trauma-informed practices with ECEs, thereby promoting a healthcare model that is both structurally supportive and responsive to individual trauma and resilience. By focusing on compassion, recognizing trauma and fostering engagement, such an approach could enhance patient outcomes and create a more adaptive, inclusive healthcare environment.

Nurturing Engagement-Capable Environments.

We are honoured to bring this special edition to you and hope that it will resonate with and cause you to think and rethink what it means to engage people as they intersect with the healthcare system. Being co-editors of this special edition has provided us with a unique opportunity to learn from the lived and professional experiences of people actively working to develop and nurture engagement-capable environments (ECE). Individually, and in partnership as co-editors, we bring a profound belief in the importance of ECEs as they affect the lives, health and healthcare of individuals, families and communities.

Meaningful Engagement or Co-Production, or Both?

The COVID-19 pandemic magnified the cracks in healthcare performance. Dysfunctionalities and exhaustion appeared, but so did resilience and innovation. Examination of these cracks offers opportunities for learning and potential for new developments just as in the Japanese art of kintsugi, which is about building new objects from pieces of broken ceramic and mending the cracks. Engagement and partnership activities came under strain in Canada, as well - a pioneer in the field. Some were put on hold; others proved resilient and contributed to surmounting the challenges of the pandemic. Applying their Engagement-Capable Environments Framework, Kuluski and colleagues (2024) studied kintsugi in partnership activities in Canada during the pandemic. The resulting case studies exemplify the factors facilitating engagement and partnership during crisis. Through a lens of co-production that we see as a precondition for understanding and improving healthcare during a crisis and beyond, we challenge the results of the study, hoping to open new perspectives and advance engagement and partnership.

Patient and Caregiver Engagement in an Era of COVID-19: What Did We Learn and How Do We Move Forward?

Patient and caregiver engagement is a core component of high-quality healthcare systems. The COVID-19 pandemic revealed to us the fragility of patient and family engagement that was not as firmly rooted in the health system as expected. In this paper, we reflect on case examples from healthcare organizations across Canada where pivots and adaptations were made to patient engagement activities. We share core enablers of engagement in times of high system stress, drawing on illustrative examples. We then synthesize key learnings in relation to existing literature and conclude with reflective questions as we orient the work of engagement into the future.

Beyond the Crisis: Transforming Health Systems Through Community Engagement.

How can we effectively partner during crises? How can partnership with communities, patients, caregivers, providers and leaders be sustained and even evolve during difficult times? The opening paper of this special issue (Kuluski et al. 2024) probed these questions. The six response papers in this issue emphasized engagement that moves from partnership with individuals and communities to efforts that are led by communities; trauma-informed approaches at an individual and organizational level; and shed light on the interdependency of culture and leadership. By broadening our engagement efforts with communities, we are more apt to co-produce improvements in care that also address the social determinants of health.

An Ensemble Model Health Care Monitoring System.

Internet of things (IoT) is utilized to enhance conventional health care systems in several ways, including patient's disease monitoring. The data gathered by IoT devices is very beneficial to medical facilities and patients. The data needs to be secured against unauthorized modifications because of security and privacy concerns. Conversely, a variety of procedures are offered by block chain technology to safeguard data against modifications. Block chain-based IoT-based health care monitoring is thus a fascinating technical advancement that may aid in easing security and privacy problems associated withthe collection of data during patient monitoring. In this work, we present an ensemble classification-based monitoring system with a block-chain as the foundation for an IoT health care model. Initially, data generation is done by considering the diseases including chronic obstructive pulmonary disease (COPD), lung cancer, and heart disease. The IoT health care data is then preprocessed using enhanced scalar normalization. The preprocessed data was used to extract features such as mutual information (MI), statistical features, adjusted entropy, and raw features. The total classified result is obtained by averaging deep maxout, improved deep convolutional network (IDCNN), and deep belief network (DBN) ensemble classification. Finally, decision-making is done by doctors to suggest treatment based on the classified results from the ensemble classifier. The ensemble model scored the greatest accuracy (95.56%) with accurate disease classification at a learning percentage of 60% compared to traditional classifiers such as neural network (NN) (89.08%), long short term memory (LSTM) (80.63%), deep belief network (DBN) (79.78%) and GT based BSS algorithm (89.08%).

Costing Interventions for Developing an Essential Package of Health Services: Application of a Rapid Method and Results From Pakistan.

BACKGROUND: The Federal Ministry of National Health Services, Regulations and Coordination (MNHSR&C) in Pakistan has committed to progress towards universal health coverage (UHC) by 2030 by providing an Essential Package of Health Services (EPHS). Starting in 2019, the Disease Control Priorities 3rd edition (DCP3) evidence framework was used to guide the development of Pakistan's EPHS. In this paper, we describe the methods and results of a rapid costing approach used to inform the EPHS design process. METHODS: A total of 167 unit costs were calculated through a context-specific, normative, ingredients-based, and bottom-up economic costing approach. Costs were constructed by determining resource use from descriptions provided by MNHSR&C and validated by technical experts. Price data from publicly available sources were used. Deterministic univariate sensitivity analyses were carried out. RESULTS: Unit costs ranged from 2019 US$ 0.27 to 2019 US$ 1478. Interventions in the cancer package of services had the highest average cost (2019 US$ 837) while interventions in the environmental package of services had the lowest (2019 US$ 0.68). Cost drivers varied by platform; the two largest drivers were drug regimens and surgery-related costs. Sensitivity analyses suggest our results are not sensitive to changes in staff salary but are sensitive to changes in medicine pricing. CONCLUSION: We estimated a large number of context-specific unit costs, over a six-month period, demonstrating a rapid costing method suitable for EPHS design.

Clinical Evaluation of Artificial Intelligence-Enabled Interventions.

Artificial intelligence (AI) health technologies are increasingly available for use in real-world care. This emerging opportunity is accompanied by a need for decision makers and practitioners across healthcare systems to evaluate the safety and effectiveness of these interventions against the needs of their own setting. To meet this need, high-quality evidence regarding AI-enabled interventions must be made available, and decision makers in varying roles and settings must be empowered to evaluate that evidence within the context in which they work. This article summarizes good practices across four stages of evidence generation for AI health technologies: study design, study conduct, study reporting, and study appraisal.

Factors critical for the successful delivery of telehealth to rural populations: a descriptive qualitative study.

BACKGROUND: The use of telehealth has proliferated to the point of being a common and accepted method of healthcare service delivery. Due to the rapidity of telehealth implementation, the evidence underpinning this approach to healthcare delivery is lagging, particularly when considering the uniqueness of some service users, such as those in rural areas. This research aimed to address the current gap in knowledge related to the factors critical for the successful delivery of telehealth to rural populations. METHODS: This research used a qualitative descriptive design to explore telehealth service provision in rural areas from the perspective of clinicians and describe factors critical to the effective delivery of telehealth in rural contexts. Semi-structured interviews were conducted with clinicians from allied health and nursing backgrounds working in child and family nursing, allied health services, and mental health services. A manifest content analysis was undertaken using the Framework approach. RESULTS: Sixteen health professionals from nursing, clinical psychology, and social work were interviewed. Participants mostly identified as female (88%) and ranged in age from 26 to 65 years with a mean age of 47 years. Three overarching themes were identified: (1) Navigating the role of telehealth to support rural healthcare; (2) Preparing clinicians to engage in telehealth service delivery; and (3) Appreciating the complexities of telehealth implementation across services and environments. CONCLUSIONS: This research suggests that successful delivery of telehealth to rural populations requires consideration of the context in which telehealth services are being delivered, particularly in rural and remote communities where there are challenges with resourcing and training to support health professionals. Rural populations, like all communities, need choice in healthcare service delivery and models to increase accessibility. Preparation and specific, intentional training for health professionals on how to transition to and maintain telehealth services is a critical factor for delivery of telehealth to rural populations. Future research should further investigate the training and supports required for telehealth service provision, including who, when and what training will equip health professionals with the appropriate skill set to deliver rural telehealth services.

Care models for individuals with chronic multimorbidity: lessons for low- and middle-income countries.

BACKGROUND: Patients with multiple long-term conditions requires understanding the existing care models to address their complex and multifaceted health needs. However, current literature lacks a comprehensive overview of the essential components, impacts, challenges, and facilitators of these care models, prompting this scoping review. METHODS: A scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis Extension for Scoping Reviews guideline. Our search encompassed articles from PubMed, Web of Science, EMBASE, SCOPUS, and Google Scholar. The World Health Organization's health system framework was utilized to synthesis the findings. This framework comprises six building blocks (service delivery, health workforce, health information systems, access to essential medicines, financing, and leadership/governance) and eight key characteristics of good service delivery models (access, coverage, quality, safety, improved health, responsiveness, social and financial risk protection, and improved efficiency). Findings were synthesized qualitatively to identify components, impacts, barriers, and facilitators of care models. RESULTS: A care model represents various collective interventions in the healthcare delivery aimed at achieving desired outcomes. The names of these care models are derived from core activities or major responsibilities, involved healthcare teams, diseases conditions, eligible clients, purposes, and care settings. Notable care models include the Integrated, Collaborative, Integrated-Collaborative, Guided, Nurse-led, Geriatric, and Chronic care models, as well as All-inclusive Care Model for the Elderly, IMPACT clinic, and Geriatric Patient-Aligned Care Teams (GeriPACT). Other care models (include Care Management Plus, Value Stream Mapping, Preventive Home Visits, Transition Care, Self-Management, and Care Coordination) have supplemented the main ones. Care models improved quality of care (such as access, patient-centeredness, timeliness, safety, efficiency), cost of care, and quality of life for patients that were facilitated by presence of shared mission, system and function integration, availability of resources, and supportive tools. CONCLUSIONS: Care models were implemented for the purpose of enhancing quality of care, health outcomes, cost efficiency, and patient satisfaction by considering careful recruitment of eligible clients, appropriate selection of service delivery settings, and robust organizational arrangements involving leadership roles, healthcare teams, financial support, and health information systems. The distinct team compositions and their roles in service provision processes differentiate care models.

Collaboration between traditional health practitioners and biomedical health practitioners: Scoping review.

BACKGROUND:  Collaboration between traditional health practitioners (THPs) and biomedical health practitioners (BHPs) is highly recommended in catering for pluralistic healthcare users. Little is known about bidirectional collaborations at healthcare service provision level. AIM:  To map global evidence on collaboration attempts between THPs and BHPs between January 1978 and August 2023. METHOD:  We followed the Arksey and O'Malley framework in conducting this scoping review. Two reviewers independently screened articles for eligibility. A descriptive numerical and content analysis was performed on ATLAS.ti 22. A narrative summary of the findings was reported using the PRISMAScR guideline. RESULTS:  Of the 8404 screened studies, 10 studies from 12 articles were included in the final review. Studies came from America (n = 5), Africa (n = 2), China (n = 2) and New Zealand (n = 1). Eight studies reported case studies of bidirectional collaboration programmes, while two studies reported on experimental research. All collaborations occurred within biomedical healthcare facilities. Collaboration often entailed activities such as relationship building, training of all practitioners, coordinated meetings, cross-referrals, treatment plan discussions and joint health promotion activities. CONCLUSION:  This study confirmed that practitioner-level collaborations within healthcare are few and sparse. More work is needed to move policy on integration of the two systems into implementation. There is a need to conduct more research and document emerging collaborations.Contribution: This research illuminates the contextual challenges associated with sustaining collaborations. The data would be important in informing areas that need strengthening in the work towards integration of THPs and BHPs.

The Use of Evidence to Design an Essential Package of Health Services in Pakistan: A Review and Analysis of Prioritisation Decisions at Different Stages of the Appraisal Process.

BACKGROUND: Pakistan embarked on a process of designing an essential package of health services (EPHS) as a pathway towards universal health coverage (UHC). The EPHS design followed an evidence-informed deliberative process; evidence on 170 interventions was introduced along multiple stages of appraisal engaging different stakeholders tasked with prioritising interventions for inclusion. We report on the composition of the package at different stages, analyse trends of prioritised and deprioritised interventions and reflect on the trade-offs made. METHODS: Quantitative evidence on cost-effectiveness, budget impact, and avoidable burden of disease was presented to stakeholders in stages. We recorded which interventions were prioritised and deprioritised at each stage and carried out three analyses: (1) a review of total number of interventions prioritised at each stage, along with associated costs per capita and disability-adjusted life years (DALYs) averted, to understand changes in affordability and efficiency in the package, (2) an analysis of interventions broken down by decision criteria and intervention characteristics to analyse prioritisation trends across different stages, and (3) a description of the trajectory of interventions broken down by current coverage and cost-effectiveness. RESULTS: Value for money generally increased throughout the process, although not uniformly. Stakeholders largely prioritised interventions with low budget impact and those preventing a high burden of disease. Highly cost-effective interventions were also prioritised, but less consistently throughout the stages of the process. Interventions with high current coverage were overwhelmingly prioritised for inclusion. CONCLUSION: Evidence-informed deliberative processes can produce actionable and affordable health benefit packages. While cost-effective interventions are generally preferred, other factors play a role and limit efficiency.