Cervical Cancer in Mexico: From a Renowned Vaccination Program to Unfulfilled Needs in Treatment Access.

Mexico's national human papillomavirus (HPV) vaccination program was established in 2008, providing free access to HPV vaccines and quickly becoming an immense success story, achieving significant coverage among young Mexican females. However, despite these efforts and notable achievements, cervical cancer caused mainly by HPV remains a challenging issue among Mexican women aged 15 years or older. A critical obstacle faced by women in the country is a lack of early detection and screening resources, coupled with delays in diagnosis and treatment, exacerbated by the poor distribution of already insufficient healthcare resources. This situation creates adverse conditions for the female demographic in the country. Our editorial aims to draw attention to the urgent need to improve access to adequate prevention, screening, and treatment for cervical cancer patients in Mexico, advocating for a collective effort between the Mexican government, public health professionals, and civil society.

Mapping the Common Barriers to Optimal COPD Care in High and Middle-Income Countries: Qualitative Perspectives from Clinicians.

Purpose: Chronic obstructive pulmonary disease (COPD) poses a significant global health burden despite being largely preventable and treatable. Despite the availability of guidelines, COPD care remains suboptimal in many settings, including high-income countries (HICs) and upper-middle-income countries (UMICs), with varied approaches to diagnosis and management. This study aimed to identify common and unique barriers to COPD care across six countries (Australia, Spain, Taiwan, Argentina, Mexico, and Russia) to inform global policy initiatives for improved care. Methods: COPD care pathways were mapped for each country and supplemented with epidemiological, health-economic, and clinical data from a targeted literature review. Semi-structured interviews with 17 respiratory care clinicians were used to further validate the pathways and identify key barriers. Thematic content analysis was used to generate the themes. Results: Six themes were common in most HICs and UMICs: "Challenges in COPD diagnosis", "Strengthening the role of primary care", "Fragmented healthcare systems and coordination challenges", "Inadequate management of COPD exacerbations", "Limited access to specialized care" and, "Impact of underfinanced and overloaded healthcare systems". One theme, "Insurance coverage and reimbursement challenges", was more relevant for UMICs. HICs and UMICs differ in patient and healthcare provider awareness, primary care involvement, spirometry access, and availability of specialized care. Both face issues with healthcare fragmentation, guideline adherence, and COPD exacerbation management. In addition, UMICs also grapple with resource limitations and healthcare infrastructure challenges. Conclusion: Many challenges to COPD care are the same in both HICs and UMICs, underscoring the pervasive nature of these issues. While country-specific issues require customized solutions, there are untapped possibilities for implementing global respiratory strategies that support countries to manage COPD effectively. In addition to healthcare system-level initiatives, there is a crucial need for political prioritization of COPD to allocate the essential resources it requires.

Utilization of machine learning for dengue case screening.

Dengue causes approximately 10.000 deaths and 100 million symptomatic infections annually worldwide, making it a significant public health concern. To address this, artificial intelligence tools like machine learning can play a crucial role in developing more effective strategies for control, diagnosis, and treatment. This study identifies relevant variables for the screening of dengue cases through machine learning models and evaluates the accuracy of the models. Data from reported dengue cases in the states of Rio de Janeiro and Minas Gerais for the years 2016 and 2019 were obtained through the National Notifiable Diseases Surveillance System (SINAN). The mutual information technique was used to assess which variables were most related to laboratory-confirmed dengue cases. Next, a random selection of 10,000 confirmed cases and 10,000 discarded cases was performed, and the dataset was divided into training (70%) and testing (30%). Machine learning models were then tested to classify the cases. It was found that the logistic regression model with 10 variables (gender, age, fever, myalgia, headache, vomiting, nausea, back pain, rash, retro-orbital pain) and the Decision Tree and Multilayer Perceptron (MLP) models achieved the best results in decision metrics, with an accuracy of 98%. Therefore, a tree-based model would be suitable for building an application and implementing it on smartphones. This resource would be available to healthcare professionals such as doctors and nurses.

Neonatal jaundice detection in low-resource Mexican settings: possibilities and barriers for innovation with mobile health.

BACKGROUND: Neonatal jaundice is a common condition that can lead to brain damage and disabilities when severe cases go undetected. Low- and middle-income countries often lack accurate methods for detecting neonatal jaundice and rely on visual assessment, resulting in a higher incidence of adverse consequences. Picterus Jaundice Pro (Picterus JP), an easy-to-use and affordable smartphone-based screening device for the condition, has demonstrated higher accuracy than visual assessment in Norwegian, Philippine and Mexican newborns. This study aimed to identify the barriers and facilitators to implementing Picterus JP in public health services in low-income settings in Mexico by exploring the current process of neonatal jaundice detection and stakeholders' perspectives in that context. METHODS: Qualitative data collection techniques, including one focus group, 15 semi-structured interviews and four observations, were employed in urban and rural health facilities in Oaxaca, Mexico. The participants included medical doctors, nurses and health administrators. The data were analysed by thematic analysis guided by the Consolidated Framework for Implementation Research. RESULTS: The analysis yielded four main themes: (I) the current state of neonatal care and NNJ detection, (II) the needs and desires for enhancing NNJ detection, (III) the barriers and facilitators to implementing Picterus JP in the health system and (IV) HCWs' expectations of Picterus JP. The findings identify deficiencies in the current neonatal jaundice detection process and the participants' desire for a more accurate method. Picterus JP was perceived as easy to use, useful and compatible with the work routine, but barriers to adoption were identified, including internet deficiencies and costs. CONCLUSIONS: The introduction of Picterus JP as a supporting tool to screen for neonatal jaundice is promising but contextual barriers in the setting must be addressed for successful implementation. There is also an opportunity to optimise visual assessment to improve detection of neonatal jaundice.

"They think we wear loincloths": Spatial stigma, coloniality, and physician migration in Puerto Rico.

Puerto Rico (PR) is facing an unprecedented healthcare crisis due to accelerating migration of physicians to the mainland United States (US), leaving residents with diminishing healthcare and excessively long provider wait times. While scholars and journalists have identified economic factors driving physician migration, our study analyzes the effects of spatial stigma within the broader context of coloniality as unexamined dimensions of physician loss. Drawing on 50 semi-structured interviews with physicians throughout PR and the US, we identified how stigmatizing meanings are attached to PR, its people, and its biomedical system, often incorporating colonial notions of the island's presumed backwardness, lagging medical technology, and lack of cutting-edge career opportunities. We conclude that in addition to economically motivated policies, efforts to curb physician migration should also address globally circulating ideas about PR, acknowledge their roots in coloniality, and valorize local responses to the crisis that are in danger of being lost to history.

The effect of primary healthcare on mortality: Evidence from Costa Rica.

This paper uses the gradual implementation of a primary healthcare (PHC) intervention in Costa Rica to examine the long-term effect of PHC on mortality. Nine years after opening a primary care center, known as a Health Area, there was an associated 13% reduction in age-adjusted mortality rate in the assigned patient population. The effect was highest among adults over 65 years of age and for those with noncommunicable diseases, such as cardiovascular-related causes of death. We also show that as Health Areas opened, more individuals sought care at primary care clinics, while fewer sought care at emergency rooms; these changes may have partially mediated the effect of the intervention on mortality.

Perspectivas metodológicas del análisis del discurso aplicadas al estudio de los sistemas de salud / Methodological perspectives of discourse analysis applied to the study of health systems

Introducción: El análisis del discurso es un abordaje alternativo de investigación de sistemas de salud. Objetivo: Describir la producción científica que investiga los sistemas de salud utilizando el análisis del discurso como perspectiva teórico-metodológica. Métodos: Revisión sistemática exploratoria de literatura, que incluyó la búsqueda de textos en inglés y español en cinco bases de datos (SciELO, MEDLINE, PubMed, EBSCO y ScienceDirect). Se utilizaron los descriptores "sistema OR salud" AND "análisis OR discurso" y sus traducciones al inglés. Se incluyeron artículos originales con metodología cualitativa, revisiones sistemáticas exploratorias de la literatura, ensayos y tesis doctorales, cuya metodología o tema de revisión fuese expresamente descrita como análisis de discurso de sistemas de salud, de sus funciones o estructura organizativa, publicados en el periodo entre enero de 1994 a diciembre de 2019; se excluyeron textos con metodología cuantitativa, estudios mixtos y metaanálisis. Resultados: Se incluyó un total de 27 textos en la revisión, se describió en cuatro categorías la forma como el análisis del discurso puede ser utilizado en el estudio de los sistemas de salud: el concepto del proceso salud enfermedad, la autonomía del sujeto, los discursos de gestión y los sistemas de salud como política pública. Discusión: Los sistemas de salud son campos para el ejercicio de las relaciones de poder que construyen sujetos, configuran la autonomía del sujeto y determinan las intervenciones del proceso salud-enfermedad. Conclusiones: Esta revisión identificó que el discurso es utilizado como dispositivo de poder que configura sujetos y la forma como se interviene el proceso salud-enfermedad.

Introduction: An alternative approach to health systems research is discourse analysis. Objective: To describe the scientific production that investigates health systems using discourse analysis as a theoretical-methodological perspective. Methodology: Systematic review. The search was conducted in five databases (SciELO, MEDLINE, PubMed, EBSCO and Science Direct), in both Spanish and English. The descriptors used were "sistema OR salud" AND "análisis OR discurso", and their English equivalents. Qualitative studies, scoping reviews, essays and PhD theses, published between January 1994 and December 2019, were included; in all cases their subject was described clearly as discourse analysis of health systems, their functions or organizative structure. Results: A total of 27 texts were included in the revision; four categories describe how discourse analysis can be used in the study of health systems as well, the concept of the health-disease process, subject autonomy, management discourses, and health systems as public policy. Discussion: Health systems are fields for the exercise of power relations that construct subjects, configure the autonomy of the subject, and determine the interventions of the health-disease process. Conclusions: This review identifies that discourse is used as a device of power that configures subjects and the way in which the health-disease process is intervened.

Health and economic impact associated with rheumatoid arthritis discharges: a cost analysis of a two-year cohort in Mexico.

BACKGROUND: Rheumatoid arthritis is a highly prevalent disease. Patients undergo various medical and pharmacological treatments, which have an economic impact on hospitals. The aim of this study was to estimate the direct economic costs of Mexican Social Security Institute (IMSS) resources used to provide healthcare to adult patients with rheumatoid arthritis in 2016-2017. METHODS: Data of patients aged > 18 years with Rheumatoid Arthritis (RA) were obtained from databases and public information sources to estimate the use of IMSS resources for the target population. Total costs were estimated by means of the macro-costing method, employing the diagnosis-related group (DRG). Each DRG of the IMSS was constructed with one of the diagnoses and the respective combination of clinical characteristics included in the ICD-9. This study was conducted from the national perspective of IMSS, the largest healthcare service administrator in the country. As such, it can be considered representative of the broader healthcare landscape in Mexico. RESULTS: The total cost per year of furnishing inpatient care to RA patients was found to be $170,099,794 MXN ($9,096,245.67 USD) for 2016 and $167,039,481 MXN ($8,932,592.57 USD) for 2017, implying an enormous economic impact on the government budget for Mexican public health services. CONCLUSIONS: Our results demonstrate that the direct costs of musculoskeletal and cardiovascular surgery represented the highest costs of RA in-hospital care at IMSS (the largest health institution in Mexico) in 2016 and 2017. Further studies are needed that include the cost of drugs and other indirect costs in addition to our results to get the most accurate approximation of the cost of living with RA.

Non-functional Pituitary Adenomas: Analysis of Delayed Diagnosis in Mexico.

BACKGROUND:  Although tumors of the central nervous system (CNS) are rare, they can cause significant morbidity and mortality. The clinical presentation of patients with non-functional pituitary adenomas (NFPA) ranges from being completely asymptomatic to causing pituitary, hypothalamic, or visual dysfunction due to their large size. Patients usually arrive with large tumors at the time of diagnosis.  Objectives: Try to describe the characteristics of NFPA and explain the causes of delayed diagnosis.  Methods: We carried out a retrospective study including 58 patients with NFPA and analyzed the tumor volume at the time of diagnosis and its relationship with sociodemographic and health sector variables.  Results: Low socioeconomic status (SES) was associated with high tumor volume (SES 1-2 of 17.4 cm3 vs 3-6 of 11.7 cm3, p=0.018), and the time between first consultation and diagnosis was longer in the public sector than in the private sector (13.5 months vs 5.1 months). The time between the first symptom and the first consultation was shorter when they had visual impairment than when they did not (4.1 vs 18.4 months, p=0.006). CONCLUSIONS: On the one hand, citizens should be made aware that a visual deficit should make them go to a medical check-up, and on the other hand, strengthen the health system so that they have the NFPA as a differential diagnosis in patients with some visual alteration. Socioeconomic inequality in our country undoubtedly puts the underprivileged at greater risk.

Healthcare providers' perceptions about the unmet needs of their patients with cancer across healthcare systems: results of the International Psycho-Oncology Society survivorship survey.

OBJECTIVE: Systematic understanding of patients' unmet needs is essential for providing effective supportive care. This study sought to compare the unmet needs of patients with cancer identified by health care providers (HCPs) among four major healthcare systems. METHODS: HCPs (n = 247) participated in the International Psycho-Oncology Society (IPOS) Survivorship Online Survey, evaluating their patients' unmet needs. The country of HCPs was grouped into four major healthcare systems: Beveridge model, Bismarck model, National Health Insurance model, and out-of-pocket model. RESULTS: Most HCPs were from countries with the Bismarck model. Substantial levels (> 50%) of unmet needs in all domains are reported across the four healthcare systems. Pediatric patients/survivors living in countries under out-of-pocket healthcare model were evaluated to have less unmet needs for managing decline in physical or cognitive functioning and insomnia/sleep difficulty/fatigue, than those in countries under Beveridge, Bismarck, and National Health Insurance models. Moreover, middle-aged patients/survivors under Beveridge and National Health Insurance models were likely to have greater unmet needs for dealing with cancer-related financial concerns than those under Bismarck model. CONCLUSION: This study provides valuable insights into the unmet needs of patients with cancer in different healthcare systems, highlighting the significance of targeted interventions to address the unique needs of patients across diverse healthcare systems. Further investigation is warranted to identify the system factors associated with patients' unmet needs, enabling the development of effective healthcare policies and interventions to comprehensively address the multifaceted needs of patients with cancer.

The Health System in Costa Rica: Focus on the Management of Diabetes Mellitus.

Costa Rica's health system was established in 1941 by the president at the time, Rafael Angel Calderon Guardia. Since then, the public health system has expanded, and a private system was also introduced. Diabetes management differs greatly between both systems, as well as the medications available. Publicly, the system faces many challenges when treating diabetes; including a limited range and selection of medications, as well as a blatant lack of support (nutritional, physical, and psychological). Privately, the costs adjacent to a diabetes diagnosis represent an unbearable burden to some patients, with medications such as a weekly dose of 1.0 mg of semaglutide representing approximately 47.5% of Costa Rica's minimum wage. Despite its flaws, both systems provide the Costa Rican population with options for treatment. The Caja Costarricense de Seguro Social covers around 90% of the population, which puts Costa Rica on par with developed countries.

Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence.

Background: Recent studies demonstrate the potential of Artificial Intelligence to support diagnosis, mortality assessment, and clinical decisions in low-and-middle-income countries (LMICs). However, explicit evidence of strategies to overcome the particular challenges for transformed health systems in these countries does not exist. Objective: The present study undertakes a review of research on the current status of artificial intelligence (AI) to identify requirements, gaps, challenges, and possible strategies to strengthen the large, complex, and heterogeneous health systems in LMICs. Design: After introducing the general challenges developing countries face, the methodology of systematic reviews and the meta-analyses extension for scoping reviews (PRISMA-ScR) is introduced according to the preferred reporting items. Scopus and Web of Science databases were used to identify papers published between 2011-2022, from which we selected 151 eligible publications. Moreover, a narrative review was conducted to analyze the evidence in the literature about explicit evidence of strategies to overcome particular AI challenges in LMICs. Results: The analysis of results was divided into two groups: primary studies, which include experimental studies or case studies using or deploying a specific AI solution (n = 129), and secondary studies, including opinion papers, systematic reviews, and papers with strategies or guidelines (n = 22). For both study groups, a descriptive statistical analysis was performed describing their technological contribution, data used, health context, and type of health interventions. For the secondary studies group, an in-deep narrative review was performed, identifying a set of 40 challenges gathered in eight different categories: data quality, context awareness; regulation and legal frameworks; education and change resistance; financial resources; methodology; infrastructure and connectivity; and scalability. A total of 89 recommendations (at least one per challenge) were identified. Conclusion: Research on applying AI and ML to healthcare interventions in LMICs is growing; however, apart from very well-described ML methods and algorithms, there are several challenges to be addressed to scale and mainstream experimental and pilot studies. The main challenges include improving the quality of existing data sources, training and modeling AI solutions based on contextual data; and implementing privacy, security, informed consent, ethical, liability, confidentiality, trust, equity, and accountability policies. Also, robust eHealth environments with trained stakeholders, methodological standards for data creation, research reporting, product certification, sustained investment in data sharing, infrastructures, and connectivity are necessary. Systematic review registration: [https://rb.gy/frn2rz].

Medical geneticists, genetic diseases and services in Brazil in the age of personalized medicine.

Aim: In anticipation of the implementation of personalized medicine in Brazil the authors assessed the characteristics of its medical genetics workforce together with the distribution of genetic diseases and services across the country. Materials & methods: The authors used demographic data on medical specialties, and summarized data from the public and private healthcare systems on live births, hospitalization and mortality, for the years 2019 and 2020. Results: The distribution of medical geneticists (MGs) overlapped the country-wide distribution of genetic diseases and services examined, indicating that ∼30% of the patient population has access to a MG specialist. Graduate specialism in medical genetics, registered MGs and suitable workplaces were concentrated in the south and southeast regions, leaving the north and northeast deeply underserved. Conclusion: MGs are concentrated in the wealthiest and most populated areas, while other regions have very limited services. These inequalities should be addressed for a successful transition to personalized medicine.

Personalized, or precision, medicine promotes the incorporation of information on an individual's genetic profile, and environmental and lifestyle exposures in the clinic to prevent and treat diseases. While personalized medicine is closer to being a reality in industrialized countries, it is unclear whether the conditions for its implementation exist in developing nations. The authors assessed the situation in Brazil, a country with a free-at-point-of-care universal health system, and private health insurance coverage for ∼30% of its population. The authors found that a majority of medical geneticists and genetic services were based in the south and southeast regions, which are also the wealthiest and most populated, leaving the other regions largely underserved. In addition, the authors identified a need to curb public­private healthcare asymmetries in medical genetics in order to reduce the observed inequalities.

Clusters of Pregnant Women with Severe Acute Respiratory Syndrome Due to COVID-19: An Unsupervised Learning Approach.

COVID-19 has been widely explored in relation to its symptoms, outcomes, and risk profiles for the severe form of the disease. Our aim was to identify clusters of pregnant and postpartum women with severe acute respiratory syndrome (SARS) due to COVID-19 by analyzing data available in the Influenza Epidemiological Surveillance Information System of Brazil (SIVEP-Gripe) between March 2020 and August 2021. The study's population comprised 16,409 women aged between 10 and 49 years old. Multiple correspondence analyses were performed to summarize information from 28 variables related to symptoms, comorbidities, and hospital characteristics into a set of continuous principal components (PCs). The population was segmented into three clusters based on an agglomerative hierarchical cluster analysis applied to the first 10 PCs. Cluster 1 had a higher frequency of younger women without comorbidities and with flu-like symptoms; cluster 2 was represented by women who reported mainly ageusia and anosmia; cluster 3 grouped older women with the highest frequencies of comorbidities and poor outcomes. The defined clusters revealed different levels of disease severity, which can contribute to the initial risk assessment of the patient, assisting the referral of these women to health services with an appropriate level of complexity.

Healthcare system resilience in Bangladesh and Haiti in times of global changes (climate-related events, migration and Covid-19): an interdisciplinary mixed method research protocol.

BACKGROUND: Since climate change, pandemics and population mobility are challenging healthcare systems, an empirical and integrative research to studying and help improving the health systems resilience is needed. We present an interdisciplinary and mixed-methods research protocol, ClimHB, focusing on vulnerable localities in Bangladesh and Haiti, two countries highly sensitive to global changes. We develop a protocol studying the resilience of the healthcare system at multiple levels in the context of climate change and variability, population mobility and the Covid-19 pandemic, both from an institutional and community perspective. METHODS: The conceptual framework designed is based on a combination of Levesque's Health Access Framework and the Foreign, Commonwealth and Development Office's Resilience Framework to address both outputs and the processes of resilience of healthcare systems. It uses a mixed-method sequential exploratory research design combining multi-sites and longitudinal approaches. Forty clusters spread over four sites will be studied to understand the importance of context, involving more than 40 healthcare service providers and 2000 households to be surveyed. We will collect primary data through questionnaires, in-depth and semi-structured interviews, focus groups and participatory filming. We will also use secondary data on environmental events sensitive to climate change and potential health risks, healthcare providers' functioning and organisation. Statistical analyses will include event-history analyses, development of composite indices, multilevel modelling and spatial analyses. DISCUSSION: This research will generate inter-disciplinary evidence and thus, through knowledge transfer activities, contribute to research on low and middle-income countries (LMIC) health systems and global changes and will better inform decision-makers and populations.

Internet de las cosas en el ámbito de la atención médica: tendencias y desafíos / Internet of Things in the Field of Health Care: Trends and Challenges

La internet de las cosas ha mantenido un crecimiento continuo en los últimos años. Las potencialidades de uso que muestra en diferentes campos han sido ampliamente documentadas. Su utilización efectiva en el campo de la salud puede traer consigo mejoras en la eficiencia de los tratamientos médicos, prevenir situaciones de riesgo, ayudar a elevar la calidad del servicio y proporcionar soporte a la toma de decisiones. La presente revisión profundiza en aspectos medulares de su utilización con el objetivo de explorar las principales tendencias y desafíos relacionados con la creciente utilización de la internet de las cosas en la salud, prestando mayor atención a los aspectos relacionados con las arquitecturas utilizadas para el despliegue de sistemas de internet de las cosas en ese ámbito, el manejo de la seguridad de estos sistemas y las herramientas para el apoyo a la toma de decisiones empleadas. Mediante el análisis documental se logra mostrar las principales características de estos sistemas, así como su arquitectura, herramientas utilizadas para la gestión de los datos capturados y mecanismos de seguridad. La utilización de la internet de las cosas en el campo de la salud tiene gran impacto, mejorando la vida de millones de personas en todo el mundo y brindando grandes oportunidades para el desarrollo de sistemas inteligentes de salud(AU)

The internet of things has maintained continuous growth in recent years. The potentialities of use that it shows in different fields have been widely documented. Its effective use in the field of health can bring improvements in the efficiency of medical treatments, prevention of risky situations, help raising the quality of service and provide support for decision-making. The present review explores into core aspects of its use in order to analyze trends, challenges and strengths. Document analysis was used to show the main characteristics of these systems, as well as their architecture, tools used for the management of the captured data and security mechanisms. The use of the internet of things in the health field has a great impact, improving the lives of millions of people around the world and providing great opportunities for the development of intelligent health systems(AU)

Covid-19 in the Caribbean: lessons learned from the ongoing international medical and scientific cooperation.

The coronavirus disease (Covid-19) crisis presents as human, social and economic challenges. The advent of Covid-19, unfortunate as it is, has highlighted the need for close medical cooperation between states. Medical cooperation is the key counter to fight against the Covid-19 pandemic.

Cancer disease progression and death during the COVID-19 pandemic: a multidisciplinary analysis for the Peruvian setting.

Since the COVID-19 pandemic began in China in late 2019, infection from the SARS-CoV-2 virus has spread virtually worldwide. This infection has adversely affected several countries; governments have outlined a series of political measures aimed to preserve the health and safety of their populations. In Peru, most actions have prioritised COVID-19 attention, with a subsequent gap in the healthcare facilities needed for other diseases. Cancer, one principal cause of death in the country, is usually diagnosed late. Moreover, in the pandemic context, the prevention and control of cancer have been negatively affected. Therefore, we carried out a multidisciplinary analysis using the Ishikawa diagram to identify the probable factors that contribute to cancer progression and deaths in Peru.

Challenges in dementia care: comparing key issues from Brazil and the United Kingdom.

The United Kingdom-Brazil Dementia Workshop took place in July 2019 in the city of Belo Horizonte, MG, Brazil, with an interdisciplinary group of health and care professionals from the United Kingdom and from Brazil to address challenges in diagnosis, public perception and care of dementia. The aim of this article is to present the results identified in relation to challenges in the care of dementia, including recommendations that could potentially guide local and State/Municipal authorities and care services for people with dementia in the future. Four key issues were prioritised to identify challenges and generate possible solutions in Brazil and the United Kingdom: I) limitations of current health systems; II) continuous and long-term support for family carers (pre-diagnosis, mourning); III) support for people with advanced dementia and end-of-life care; IV) support for people with young-onset dementia. In both countries, carers feel left without post-diagnostic support; information on the progression of dementia is lacking and some people do not even have a specific diagnosis; encouraging and providing training for carers best manage some of the symptoms is imperative; preparation for end of life care and support carers after the death of their loved ones remains highly needed; strengthening services and qualification of health professionals, also creating protocols to guide dementia-related services represent a common challenge to overcome. The authors outline recommendations according to the issues identified to assist future formulation of adequate policies and services for people with dementia and carers.

O United Kingdom-Brazil Dementia Workshop aconteceu em julho de 2019 na cidade de Belo Horizonte, Minas Gerais, Brasil, com a presença de grupo interdisciplinar de profissionais de saúde e assistência do Reino Unido e Brasil, para abordar desafios no diagnóstico, percepção pública e cuidado à pessoa com demência. O objetivo do presente artigo foi apresentar os resultados encontrados em relação aos desafios no tratamento da demência, incluindo recomendações que possam potencialmente orientar autoridades locais e estaduais/municipais e serviços de atenção à pessoa com demência. Quatro questões-chave foram priorizadas para identificar desafios e gerar possíveis soluções no Brasil e no Reino Unido: I) limitações atuais dos sistemas de saúde; II) suporte contínuo e de longo prazo para cuidadores familiares (pré-diagnóstico, luto); III) apoio a pessoas com demência avançada e cuidados no fim de vida; IV) apoio a pessoas com demência precoce. Em ambos os países, cuidadores se percebem sem apoio pós-diagnóstico; faltam informações sobre a progressão da demência e algumas pessoas sequer têm diagnóstico específico; encorajar e providenciar treino para cuidadores melhor lidarem com sintomas é imperativo; preparação para cuidados no fim da vida e apoio aos cuidadores após morte de familiares permanecem necessários; fortalecer os serviços e qualificação de profissionais de saúde, além de elaborar protocolos para guiar serviços relacionados à demência, é desafio comum a ser superado. Os autores apresentam recomendações quanto às questões identificadas para auxiliar na futura formulação de políticas públicas e serviços para pessoas com demência e cuidadores.

Challenges in dementia care: comparing key issues from Brazil and the United Kingdom / Desafios no cuidado a pessoas com demência: comparando questões-chave entre Brasil e Reino Unido

ABSTRACT. The United Kingdom-Brazil Dementia Workshop took place in July 2019 in the city of Belo Horizonte, MG, Brazil, with an interdisciplinary group of health and care professionals from the United Kingdom and from Brazil to address challenges in diagnosis, public perception and care of dementia. The aim of this article is to present the results identified in relation to challenges in the care of dementia, including recommendations that could potentially guide local and State/Municipal authorities and care services for people with dementia in the future. Four key issues were prioritised to identify challenges and generate possible solutions in Brazil and the United Kingdom: I) limitations of current health systems; II) continuous and long-term support for family carers (pre-diagnosis, mourning); III) support for people with advanced dementia and end-of-life care; IV) support for people with young-onset dementia. In both countries, carers feel left without post-diagnostic support; information on the progression of dementia is lacking and some people do not even have a specific diagnosis; encouraging and providing training for carers best manage some of the symptoms is imperative; preparation for end of life care and support carers after the death of their loved ones remains highly needed; strengthening services and qualification of health professionals, also creating protocols to guide dementia-related services represent a common challenge to overcome. The authors outline recommendations according to the issues identified to assist future formulation of adequate policies and services for people with dementia and carers.

RESUMO. O United Kingdom-Brazil Dementia Workshop aconteceu em julho de 2019 na cidade de Belo Horizonte, Minas Gerais, Brasil, com a presença de grupo interdisciplinar de profissionais de saúde e assistência do Reino Unido e Brasil, para abordar desafios no diagnóstico, percepção pública e cuidado à pessoa com demência. O objetivo do presente artigo foi apresentar os resultados encontrados em relação aos desafios no tratamento da demência, incluindo recomendações que possam potencialmente orientar autoridades locais e estaduais/municipais e serviços de atenção à pessoa com demência. Quatro questões-chave foram priorizadas para identificar desafios e gerar possíveis soluções no Brasil e no Reino Unido: I) limitações atuais dos sistemas de saúde; II) suporte contínuo e de longo prazo para cuidadores familiares (pré-diagnóstico, luto); III) apoio a pessoas com demência avançada e cuidados no fim de vida; IV) apoio a pessoas com demência precoce. Em ambos os países, cuidadores se percebem sem apoio pós-diagnóstico; faltam informações sobre a progressão da demência e algumas pessoas sequer têm diagnóstico específico; encorajar e providenciar treino para cuidadores melhor lidarem com sintomas é imperativo; preparação para cuidados no fim da vida e apoio aos cuidadores após morte de familiares permanecem necessários; fortalecer os serviços e qualificação de profissionais de saúde, além de elaborar protocolos para guiar serviços relacionados à demência, é desafio comum a ser superado. Os autores apresentam recomendações quanto às questões identificadas para auxiliar na futura formulação de políticas públicas e serviços para pessoas com demência e cuidadores.