Knowledge management tools and mechanisms for evidence-informed decision-making in the WHO European Region: a scoping review.

BACKGROUND: Knowledge management (KM) emerged as a strategy to promote evidence-informed decision-making. This scoping review aims to map existing KM tools and mechanisms used to promote evidence-informed health decision-making in the WHO European Region and identify knowledge gaps. METHODS: Following the Joanna Briggs Institute (JBI) guidance for conducting scoping reviews, we searched Medline, PubMed, EMBASE, the Cochrane library, and Open Grey. We conducted a descriptive analysis of the general characteristics of the included papers and conducted narrative analysis of the included studies and categorized studies according to KM type and phase. RESULTS: Out of 9541 citations identified, we included 141 studies. The KM tools mostly assessed are evidence networks, surveillance tools, observatories, data platforms and registries, with most examining KM tools in high-income countries of the WHO European region. Findings suggest that KM tools can identify health problems, inform health planning and resource allocation, increase the use of evidence by policymakers and stimulate policy discussion. CONCLUSION: Policymakers and funding agencies are called to support capacity-building activities, and future studies to strengthen KM in the WHO European region particularly in Eastern Europe and Central Asia. An updated over-arching strategy to coordinate KM activities in the WHO European region will be useful in these efforts.

Infodemics and health misinformation: a systematic review of reviews.

Objective: To compare and summarize the literature regarding infodemics and health misinformation, and to identify challenges and opportunities for addressing the issues of infodemics. Methods: We searched MEDLINE®, Embase®, Cochrane Library of Systematic Reviews, Scopus and Epistemonikos on 6 May 2022 for systematic reviews analysing infodemics, misinformation, disinformation and fake news related to health. We grouped studies based on similarity and retrieved evidence on challenges and opportunities. We used the AMSTAR 2 approach to assess the reviews' methodological quality. To evaluate the quality of the evidence, we used the Grading of Recommendations Assessment, Development and Evaluation guidelines. Findings: Our search identified 31 systematic reviews, of which 17 were published. The proportion of health-related misinformation on social media ranged from 0.2% to 28.8%. Twitter, Facebook, YouTube and Instagram are critical in disseminating the rapid and far-reaching information. The most negative consequences of health misinformation are the increase of misleading or incorrect interpretations of available evidence, impact on mental health, misallocation of health resources and an increase in vaccination hesitancy. The increase of unreliable health information delays care provision and increases the occurrence of hateful and divisive rhetoric. Social media could also be a useful tool to combat misinformation during crises. Included reviews highlight the poor quality of published studies during health crises. Conclusion: Available evidence suggests that infodemics during health emergencies have an adverse effect on society. Multisectoral actions to counteract infodemics and health misinformation are needed, including developing legal policies, creating and promoting awareness campaigns, improving health-related content in mass media and increasing people's digital and health literacy.

Data gaps towards health development goals, 47 low- and middle-income countries.

OBJECTIVE: To assess the availability and gaps in data for measuring progress towards health-related sustainable development goals and other targets in selected low- and middle-income countries. METHODS: We used 14 international population surveys to evaluate the health data systems in the 47 least developed countries over the years 2015-2020. We reviewed the survey instruments to determine whether they contained tools that could be used to measure 46 health-related indicators defined by the World Health Organization. We recorded the number of countries with data available on the indicators from these surveys. FINDINGS: Twenty-seven indicators were measurable by the surveys we identified. The two health emergency indicators were not measurable by current surveys. The percentage of countries that used surveys to collect data over 2015-2020 were lowest for tuberculosis (2/47; 4.3%), hepatitis B (3/47; 6.4%), human immunodeficiency virus (11/47; 23.4%), child development status and child abuse (both 13/47; 27.7%), compared with safe drinking water (37/47; 78.7%) and births attended by skilled health personnel (36/47; 76.6%). Nineteen countries collected data on 21 or more indicators over 2015-2020 while nine collected data on no indicators; over 2018-2020 these numbers reduced to six and 20, respectively. CONCLUSION: Examining selected international surveys provided a quick summary of health data available in the 47 least developed countries. We found major gaps in health data due to long survey cycles and lack of appropriate survey instruments. Novel indicators and survey instruments would be needed to track the fast-changing situation of health emergencies.

The Current Status of Telemedicine Technology Use Across the World Health Organization European Region: An Overview of Systematic Reviews.

BACKGROUND: Several systematic reviews evaluating the use of telemedicine by clinicians, patients, and health authorities to improve the delivery of care in the 53 member states of the World Health Organization (WHO) European Region have been conducted in recent years. However, a study summarizing the findings of these reviews has not been conducted. OBJECTIVE: This overview of systematic reviews aimed to summarize findings regarding the use of telemedicine across the 53 member states and identify the medical fields and levels of care in and at which the effectiveness, feasibility, and applicability of telemedicine have been demonstrated. The barriers to and facilitators of telemedicine use were also evaluated and collated to help with the design and implementation of telemedicine interventions. METHODS: Through a comprehensive systematic evaluation of the published and unpublished literature, we extracted clinical, epidemiological, and technology-related data from each review included in the study. We focused on evaluating the barriers to and facilitators of the use of telemedicine apps across the 53 member states considered. We rated the methodological quality of each of the included reviews based on A Measurement Tool to Assess Systematic Review 2 approach and judged the overall certainty of evidence by using the Grading of Recommendations, Assessment, Development, and Evaluations methodology. The entire process was performed by 2 independent authors. RESULTS: This overview drew on data from >2239 primary studies, with >20,000 enrolled patients in total, within the WHO European Region. On the basis of data from randomized trials, observational studies, and economic evaluations from several countries, the results show a clear benefit of telemedicine technologies in the screening, diagnosis, management, treatment, and long-term follow-up of a series of chronic diseases. However, we were unable to pool the results into a reliable numeric parameter because of the high heterogeneity of intervention methodologies, scheduling, primary study design discrepancies, settings, and geographical locations. In addition to the clinical outcomes of the interventions, the social and economic outcomes are highlighted. CONCLUSIONS: The application of telemedicine is well established across countries in the WHO European Region; however, some countries could still benefit from the many uses of these digital solutions. Barriers related to users, technology, and infrastructure were the largest. Conversely, the provision of health services using technological devices was found to significantly enhance patients' clinical outcomes, improve the long-term follow-up of patients by medical professionals, and offer logistical benefits for both patients and health workers. TRIAL REGISTRATION: PROSPERO (International Prospective Register of Systematic Reviews) CRD42022309375; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=309375.

Impact of Big Data Analytics on People's Health: Overview of Systematic Reviews and Recommendations for Future Studies.

BACKGROUND: Although the potential of big data analytics for health care is well recognized, evidence is lacking on its effects on public health. OBJECTIVE: The aim of this study was to assess the impact of the use of big data analytics on people's health based on the health indicators and core priorities in the World Health Organization (WHO) General Programme of Work 2019/2023 and the European Programme of Work (EPW), approved and adopted by its Member States, in addition to SARS-CoV-2-related studies. Furthermore, we sought to identify the most relevant challenges and opportunities of these tools with respect to people's health. METHODS: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews via Cochrane Library, Web of Science, Scopus, and Epistemonikos) were searched from the inception date to September 21, 2020. Systematic reviews assessing the effects of big data analytics on health indicators were included. Two authors independently performed screening, selection, data extraction, and quality assessment using the AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) checklist. RESULTS: The literature search initially yielded 185 records, 35 of which met the inclusion criteria, involving more than 5,000,000 patients. Most of the included studies used patient data collected from electronic health records, hospital information systems, private patient databases, and imaging datasets, and involved the use of big data analytics for noncommunicable diseases. "Probability of dying from any of cardiovascular, cancer, diabetes or chronic renal disease" and "suicide mortality rate" were the most commonly assessed health indicators and core priorities within the WHO General Programme of Work 2019/2023 and the EPW 2020/2025. Big data analytics have shown moderate to high accuracy for the diagnosis and prediction of complications of diabetes mellitus as well as for the diagnosis and classification of mental disorders; prediction of suicide attempts and behaviors; and the diagnosis, treatment, and prediction of important clinical outcomes of several chronic diseases. Confidence in the results was rated as "critically low" for 25 reviews, as "low" for 7 reviews, and as "moderate" for 3 reviews. The most frequently identified challenges were establishment of a well-designed and structured data source, and a secure, transparent, and standardized database for patient data. CONCLUSIONS: Although the overall quality of included studies was limited, big data analytics has shown moderate to high accuracy for the diagnosis of certain diseases, improvement in managing chronic diseases, and support for prompt and real-time analyses of large sets of varied input data to diagnose and predict disease outcomes. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO) CRD42020214048; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=214048.

[Legal framework for electronic medical records in the Region of the Americas: definition of domains to legislate and situation analysisEnquadramento legal para os registros eletrônicos em saúde na Região das Américas: definição de domínios para regulamentação e análise da situação]. / Marco legal para registros médicos electrónicos en la Región de las Américas: definición de dominios a legislar y análisis de situación.

OBJECTIVES: Define a legal framework for electronic medical records (EMRs) and determine the degree to which the countries of the Region of the Americas are prepared in this regard. METHODS: The methodology consisted of two phases. In the first, a Delphi methodology was used to develop a questionnaire and define the framework and legal domains applicable to EMRs. In the second, the questionnaire was completed in each country. This included identifying national experts and the data collection process. RESULTS: Information was collected from a total of 21 countries regarding their situation with respect to legislation on EMRs in the following domains: 1) specific legislation on EMRs; 2) protection of patients' data and secondary use of the data; 3) legislation related to the actions of health professionals; 4) regulation on EMRs and the role of patients; and 5) health standards and EMR promotion programs. CONCLUSIONS: There has been progress in the Region with respect to new legislation covering the main areas related to EMRs (for example, protection of sensitive data and use of digital signatures). However, it is necessary to continue to address issues such as access to and updating of information in EMRs. This study contributes information on the essential components of legislation on EMRs, and reports on the situation in the Region of the Americas.

OBJETIVOS: Definir um enquadramento legal para os registros eletrônicos em saúde (RES) e identificar o grau de preparação dos países da Região das Américas neste sentido. MÉTODOS: A metodologia do estudo foi dividida em duas fases. Na primeira fase, foi usado o método Delphi para elaborar o questionário e definir o enquadramento e os domínios legais para RES. Na segunda fase, foi realizada a pesquisa por país, com a identificação de dados referentes nacionais e processo de coleta de dados. RESULTADOS: Ao todo, foram obtidos dados de 21 países sobre os aspectos legais e RES distribuídos nos seguintes domínios: 1) legislação específica para RES, 2) proteção dos dados dos pacientes e uso secundário da informação, 3) legislação relacionada à atuação dos profissionais da saúde, 4) regulamentação dos RES e papel dos pacientes e 5) padrões em saúde e programas de promoção dos RES. CONCLUSÕES: Houve progresso na Região quanto à promulgação de leis que abrangem os principais domínios dos RES (p. ex., proteção de dados sensíveis ou o uso de assinatura digital). Porém, alguns aspectos precisam ser reforçados, como o acesso e a atualização das informações nos registros. Este estudo contribui ao descrever os aspectos básicos da regulamentação e informar a situação dos RES na Região das Américas.

[Infoxication in health. Health information overload on the Internet and the risk of important information becoming invisible]. / Infoxicación en salud. La sobrecarga de información sobre salud en la web y el riesgo de que lo importante se haga invisible.

OBJECTIVE: The objectives of this study were to: 1) raise awareness of the volume of quality health information on the Internet; 2) explore perceptions of information professionals with regard to the use of qualified sources for health decision-making; and 3) make recommendations that facilitate strengthening health worker capacities and institutional competencies related to digital literacy. METHODS: A non-experimental, descriptive cross-sectional study was conducted with a non-probability sample of 32 information professionals from nine countries. Internet information was compiled on the volume of content in Internet tools, social networks, and health information sources. Searches in English and Spanish were carried out using the keywords Ebola, Zika, dengue, chikungunya, safe food, health equity, safe sex, and obesity. Finally, information was obtained on opportunities for formal education on the subjects of digital literacy, information management, and other related topics. RESULTS: Selecting only four diseases with a high impact on public health in May 2016 and averaging minimum review time for each information product, it would take more than 50 years without sleeping to consult everything that is published online about dengue, Zika, Ebola, and chikungunya. CONCLUSION: We conclude that public health would benefit from: health institutions implementing formal knowledge management strategies; academic health sciences institutions incorporating formal digital literacy programs; and having health workers who are professionally responsible and functional in the information society.

Social media in public health: an analysis of national health authorities and leading causes of death in Spanish-speaking Latin American and Caribbean countries.

BACKGROUND: Information and communications technologies, like social media, have the potential to reduce some barriers in disease prevention and control in the Americas. National health authorities can use these technologies to provide access to reliable and quality health information. A study was conducted to analyze availability of information about the leading causes of death on social media channels of national health authorities in 18 Spanish-speaking Latin American and Caribbean countries. METHODS: We gathered data of national health authorities's institutional presence in social media. Exploratory-descriptive research was useful for analysis and interpretation of the data collected. An analysis was carried out for 6 months, from April 1 to September 30, 2015. RESULTS: Sixteen of the 18 countries studied have institutional presences on social media. National health authorities have a presence in an average of almost three platforms (2.8%). An average of 1% of the populations with Internet access across the 18 countries in this study follows national health authorities on social media (approximately, an average of 0.3% of the total population of the countries under study). On average, information on 3.2 of the 10 leading causes of death was posted on the national health authorities' Facebook pages, and information on 2.9 of the 10 leading causes of death was posted on their Twitter profiles. Additionally, regarding public health expenditures and the possibility of retrieving information on the leading causes of death, an apparent negative correlation exists in the case of Facebook, r(13) = -.54, P = .03 and a weak negative correlation in the case of Twitter, r(14) = -.26, P = .31, for the countries with presences in those networks. CONCLUSIONS: National health authorities can improve their role in participating in conversations on social media regarding the leading causes of death affecting their countries. Taking into account Internet accessibility levels in the countries under study and the high rates of people using social networks in even the poorest countries, further research is needed to provide evidence that more dedication to health promotion interventions through social media could significantly improve the impact and reach of public health messages and initiatives.

[CYTED-RITMOS network: toward the search for solutions to promote mobile health in Latin America]. / Red CYTED-RITMOS: hacia la búsqueda de soluciones para fomentar la salud móvil en América Latina.

The area of mobile technologies applied to health (mHealth) is a growing worldwide trend that has generated enormous expectations for the mitigation of problems related to medical services delivery and public health stemming from a lack of resources and the limited number of specialists. The numerous opportunities offered by mobile technologies, together with their ease of use, have attracted the interest both of governments and universities. This is the case of the Ibero-American Mobile Technologies and Health Network (CYTED-RITMOS, Spanish acronym). As a result of the network's first year of activity, in October 2015 the RITMOS International Workshop was held in Barcelona to present the priority areas in Latin America where research, development, and innovation (R&D+i) projects on mobile health could be carried out and possible solutions found. The objective of this article is to present the potentialities and applicability of mHealth in the Region of the Americas.

Fear on the networks: analyzing the 2014 Ebola outbreak.

During the 2014 Ebola outbreak, information spread via multiple platforms, including social networks and Internet search engines. This report analyzes Twitter tweets, Facebook posts, and Google trends, as well as several other Internet resources, from March - November 2014. Understanding the types of discussions, social behaviors, feelings expressed, and information shared during the Ebola outbreak can help health organizations improve communication interventions and avert misinformation and panic during health emergencies. In all, 6 422 170 tweets, 83 Facebook posts, and Google search trends were integrated with 63 chronological Ebola-related events. Events that prompted a surge in tweets using #ebola were related to new cases of infection or the entry of the disease into a new goegraphic area. Most tweets were re-tweets of information provided by news agencies and official health organizations. Events related to new infections and deaths seemed to correlate with an increase of words that express fear. Google results concurred with Twitter and Facebook. Data from social media activity can be used to form hypotheses about how the public responds to and behaves during public health events, prompting health organizations to adopt new strategies for communications interventions. Furthermore, a spike in activity around a topic can be used as a surveillance technique to signal to health authorities that an outbreak may be underway. It is also recommended that news agencies, which engage with the public most often, consider content review by health experts as part of their health communications process.

Durante el brote de ébola del 2014, se difundió información por medio de varias plataformas, entre ellas las redes sociales y los motores de búsqueda de Internet. En este informe se analizan los tuits en Twitter, los mensajes publicados en Facebook y las tendencias de búsqueda en Google, así como varios recursos más en Internet, en el período comprendido entre marzo y noviembre del 2014. La comprensión de los tipos de conversaciones, el comportamiento social, los sentimientos expresados y la información transmitida durante el brote de ébola puede ayudar a las organizaciones de salud a mejorar sus intervenciones en materia de comunicación y evitar la información incorrecta y el pánico que se pueden propagar durante las emergencias de salud.En total, se integraron 6 422 170 tuits, 83 mensajes de Facebook y las tendencias de búsqueda en Google con 63 eventos cronológicos relacionados con ébola. Los eventos que dieron lugar a un incremento de los tuits con la etiqueta #ebola estaban relacionados con nuevos casos de infección o la entrada de la enfermedad en una nueva zona geográfica. La mayor parte de los tuits eran reenvíos de información suministrada por las agencias de noticias y las organizaciones de salud oficiales. Los eventos relacionados con nuevas infecciones y defunciones parecían guardar correlación con un aumento del uso de palabras que expresaban temor. Los resultados de Google coincidían con Twitter y Facebook.Se pueden emplear datos provenientes de la actividad de las redes sociales para formar hipótesis sobre el modo en que el público responde a los eventos de salud pública y en que se comporta durante ellos, e incitar a las organizaciones de salud a que adopten nuevas estrategias para las intervenciones en materia de comunicación. Además, se pueden usar los aumentos de la actividad en torno a un tema como técnica de vigilancia para señalar a las autoridades de salud que es posible que haya un brote. Se recomienda también que las agencias de noticias, que interactúan con el público con más frecuencia, consideren la posibilidad de contar con expertos en salud para examinar los contenidos en el marco de su proceso de comunicación para la salud.

No transcurso do surto de Ebola de 2014, a informação se espalhou por diversas plataformas como as redes sociais e os mecanismos de busca da internet. Este artigo examina as mensagens no Twitter, postagens no Facebook e tendências no Google e outras mídias digitais no período de março a novembro de 2014. Entender as formas de discussões, comportamentos sociais, sentimentos expressos e informações partilhadas no decorrer do surto de Ebola pode contribuir para melhorar as intervenções em comunicação por parte das organizações de saúde e evitar a desinformação e o pânico em situações de emergência em saúde.Ao todo, 6.422.170 mensagens no Twitter, 83 postagens no Facebook e tendências de busca no Google foram correlacionadas a 63 eventos cronológicos relativos ao surto de Ebola. Os eventos que suscitaram um aumento no número de mensagens no Twitter com o hashtag #ebola foram a ocorrência de novos casos de infecção ou o surgimento da doença em outras áreas geográficas. Grande parte da atividade no Twitter consistiu no reenvio de mensagens com informações fornecidas pelas agências de notícias e organizações oficiais de saúde. Os eventos relacionados a novas infecções e mortes aparentemente se correlacionaram ao uso de um maior número de palavras que expressam temor. Os resultados do Google coincidiram com os do Twitter e Facebook. A análise da atividade nas mídias sociais permite formular hipóteses sobre a reação e o comportamento do público em situações de risco em saúde pública, motivando o uso de novas estratégias de comunicação por parte das organizações de saúde. Um pico de atividade em torno de um assunto pode ser um recurso de vigilância usado pelas autoridades sanitárias para sinalizar a possível ocorrência de um surto. Também se recomenda às agências de notícias, por estarem em contato constante com o público, integrar a análise do conteúdo por especialistas em saúde ao processo de comunicação de assuntos em saúde.

Role of PAHO/WHO in eHealth Capacity Building in the Americas: Analysis of the 2011-2015 period.

Political will and adoption of measures toward the use of eHealth have been steadily increasing, facilitating mobilization of resources necessary to adopt and implement digital services that will make it possible to improve access, expand coverage, and increase financial efficiency of health care systems. Adoption of the Strategy and Plan of Action on eHealth of the Pan American Health Organization (PAHO) in 2011 by all Member States in the Region of the Americas has led the Region to major progress in this regard, including the following: creation of knowledge networks and development of information sources, establishment of eHealth sustainability models, support for development of electronic health records, promotion of standards on health data and related technologies that ensure exchange of information, use of mobile devices to improve health, and improvement in quality of care through telemedicine. This article details the main actions carried out by PAHO with regard to eHealth, specifically by the office of Knowledge Management, Bioethics, and Research in the 2011-2015 period (first period of implementation of the PAHO eHealth strategy and plan of action), which include research and capacity-building activities, development of technical guidelines, and formation of knowledge networks.

La voluntad política y la adopción de medidas en relación con el uso de la eSalud han ido en aumento de forma constante, favoreciendo la movilización de los recursos necesarios a fin de adoptar y poner en marcha servicios digitales que permitan mejorar el acceso, ampliar la cobertura y aumentar la eficiencia financiera de los sistemas de atención de salud. Con la aprobación de la Estrategia y Plan de Acción de eSalud de la Organización Panamericana de la Salud (OPS) en 2011 por todos los Estados Miembros de la Región de las Américas, se han realizado importantes avances a este respecto en la Región, entre los que se destacan: la creación de redes de conocimiento y desarrollo de fuentes de información, el establecimiento de modelos de sostenibilidad en materia de eSalud, el apoyo al desarrollo de los registros electrónicos de salud, la promoción de normas sobre datos de salud y tecnologías conexas que garanticen el intercambio de información, la utilización de los dispositivos móviles para mejorar la salud y la mejora de la calidad asistencial por medio de la telemedicina. El presente artículo detalla las principales acciones ejecutadas por la OPS en eSalud, específicamente por la Oficina de Gestión del Conocimiento, Bioética e Investigación en el período comprendido entre 2011 y 2015 (primer período de implementación de la estrategia y plan de acción de eSalud de la OPS), entre las que se encuentran actividades de investigación y desarrollo de capacidad, la creación de lineamientos técnicos y la construcción de redes de conocimiento.

Selection of criteria for a telemedicine framework for designing, implementing, monitoring and evaluating telemedicine interventions: Validation using a modified Delphi process.

Objectives: The call to scale up telemedicine services globally as part of the digital health transformation lacks an agreed-upon set of constructs to guide the implementation process. A lack of guidance hinders the development, consolidation, sustainability and optimisation of telemedicine services. The study aims to reach consensus among telemedicine experts on a set of implementation constructs to be developed into an evidence-based support tool. Methods: A modified Delphi study was conducted to evaluate a set of evidence-informed telemedicine implementation constructs comprising cores, domains and items. The study evaluated the constructs consisting of five cores: Assessment of the Current Situation, Development of a Telemedicine Strategy, Development of Organisational Changes, Development of a Telemedicine Service, and Monitoring, Evaluation and Optimisation of Telemedicine Implementation; seven domains: Individual Readiness, Organisational Readiness, Clinical, Economic, Technological and Infrastructure, Regulation, and Monitoring, Evaluation and Optimisation; divided into 53 items. Global telemedicine specialists (n = 247) were invited to participate and evaluate 58 questions. Consensus was set at ≥70%. Results: Forty-five experts completed the survey. Consensus was reached on 78% of the constructs evaluated. Regarding the core constructs, Monitoring, Evaluation and Optimisation of Telemedicine Implementation was determined to be the most important one, and Development of a Telemedicine Strategy the least. As for the domains, the Clinical one had the highest level of consensus, and the Economic one had the lowest. Conclusions: This research advances the field of telemedicine, providing expert consensus on a set of implementation constructs. The findings also highlight considerable divergence in expert opinion on the constructs of reimbursement and incentive mechanisms, resistance to change, and telemedicine champions. The lack of agreement on these constructs warrants attention and may partly explain the barriers that telemedicine services continue to face in the implementation process.

The role of governance in the digital transformation of healthcare: Results of a survey in the WHO Europe Region.

Optimal governance is among the key facilitators of the digital transformation of health systems intended to improve access to healthcare, quality, safety, and efficiency, and to attain universal health coverage. This paper highlights the findings of a survey assessing the status of governance of digital health in the WHO European Region. The 2022 survey is a continuation of the 2015 WHO Global Survey on eHealth. The survey focused on national digital health governance, monitoring and evaluation of digital health interventions, and funding and investment in digital health and was conducted through April to October 2022. All 53 Member States of the WHO European Region participated in the survey. The results showed that 83% of the Member States reported having a national digital health strategy in place, and 79% of the Member States reported having a health information system strategy. Most of the priorities of the national digital health strategies were devoted to increasing the accessibility, quality, safety, and efficiency of the health systems, strengthening health information systems, and improving information sharing and interoperability of data. Measures to ensure equity in access to digital healthcare services were directed towards improving broadband connectivity, information and communication technology, digital literacy, and digital health promotion. Oversight for the implementation and operation of the national digital health strategies are mostly delegated to government agencies. The prime source of funding for digital health programs was public funding, though a combination of funding sources was also noted. This analysis revealed increasing adoption of national digital health strategies for access to healthcare and creation of digital health agencies and funding programs for digital health.

Mapping the regulatory landscape for artificial intelligence in health within the European Union.

Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while ensuring the ethical, secure, and effective implementation of AI technology in healthcare and population health. In this article, we present a synthesis of 141 binding policies applicable to AI in healthcare and population health in the EU and 10 European countries. The EU AI Act sets the overall regulatory framework for AI, while other legislations set social, health, and human rights standards, address the safety of technologies and the implementation of innovation, and ensure the protection and safe use of data. Regulation specifically pertaining to AI is still nascent and scarce, though a combination of data, technology, innovation, and health and human rights policy has already formed a baseline regulatory framework for AI in health. Future work should explore specific regulatory challenges, especially with respect to AI medical devices, data protection, and data enablement.

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the application of AI toward mental health research to inform about trends, gaps, opportunities, and challenges. OBJECTIVE: This study aims to perform a systematic overview of AI applications in mental health in terms of methodologies, data, outcomes, performance, and quality. METHODS: A systematic search in PubMed, Scopus, IEEE Xplore, and Cochrane databases was conducted to collect records of use cases of AI for mental health disorder studies from January 2016 to November 2021. Records were screened for eligibility if they were a practical implementation of AI in clinical trials involving mental health conditions. Records of AI study cases were evaluated and categorized by the International Classification of Diseases 11th Revision (ICD-11). Data related to trial settings, collection methodology, features, outcomes, and model development and evaluation were extracted following the CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) guideline. Further, evaluation of risk of bias is provided. RESULTS: A total of 429 nonduplicated records were retrieved from the databases and 129 were included for a full assessment-18 of which were manually added. The distribution of AI applications in mental health was found unbalanced between ICD-11 mental health categories. Predominant categories were Depressive disorders (n=70) and Schizophrenia or other primary psychotic disorders (n=26). Most interventions were based on randomized controlled trials (n=62), followed by prospective cohorts (n=24) among observational studies. AI was typically applied to evaluate quality of treatments (n=44) or stratify patients into subgroups and clusters (n=31). Models usually applied a combination of questionnaires and scales to assess symptom severity using electronic health records (n=49) as well as medical images (n=33). Quality assessment revealed important flaws in the process of AI application and data preprocessing pipelines. One-third of the studies (n=56) did not report any preprocessing or data preparation. One-fifth of the models were developed by comparing several methods (n=35) without assessing their suitability in advance and a small proportion reported external validation (n=21). Only 1 paper reported a second assessment of a previous AI model. Risk of bias and transparent reporting yielded low scores due to a poor reporting of the strategy for adjusting hyperparameters, coefficients, and the explainability of the models. International collaboration was anecdotal (n=17) and data and developed models mostly remained private (n=126). CONCLUSIONS: These significant shortcomings, alongside the lack of information to ensure reproducibility and transparency, are indicative of the challenges that AI in mental health needs to face before contributing to a solid base for knowledge generation and for being a support tool in mental health management.

Utility of Telehealth Platforms Applied to Burns Management: A Systematic Review.

The financial burden of burn injuries has a considerable impact on patients and healthcare systems. Information and Communication Technologies (ICTs) have demonstrated their utility in the improvement of clinical practice and healthcare systems. Because referral centres for burn injuries cover large geographic areas, many specialists must find new strategies, including telehealth tools for patient evaluation, teleconsultation, and remote monitoring. This systematic review was performed according to PRISMA guidelines. PubMed, Cochrane, Medline, IBECS, and LILACS were the search engines used. Systematic reviews, meta-analyses, clinical trials, and observational studies were included in the study search. The protocol was registered in PROSPERO with the number CRD42022361137. In total, 37 of 185 studies queried for this study were eligible for the systematic review. Thirty studies were comparative observational studies, six were systematic reviews, and one was a randomised clinical trial. Studies suggest that telehealth allows better perception of triage, more accurate estimation of the TBSA, and resuscitation measures in the management of acute burns. In addition, some studies assess that TH tools are equivalent to face-to-face outpatient visits and cost-efficient because of transport savings and unnecessary referrals. However, more studies are required to provide significant evidence. However, the implementation of telehealth should be specifically adapted to each territory.

Digital Health Reimbursement Strategies of 8 European Countries and Israel: Scoping Review and Policy Mapping.

BACKGROUND: The adoption of digital health care within health systems is determined by various factors, including pricing and reimbursement. The reimbursement landscape for digital health in Europe remains underresearched. Although various emergency reimbursement decisions were made during the COVID-19 pandemic to enable health care delivery through videoconferencing and asynchronous care (eg, digital apps), research so far has primarily focused on the policy innovations that facilitated this outside of Europe. OBJECTIVE: This study examines the digital health reimbursement strategies in 8 European countries (Belgium, France, Germany, Italy, the Netherlands, Poland, Sweden, and the United Kingdom) and Israel. METHODS: We mapped available digital health reimbursement strategies using a scoping review and policy mapping framework. We reviewed the literature on the MEDLINE, Embase, Global Health, and Web of Science databases. Supplementary records were identified through Google Scholar and country experts. RESULTS: Our search strategy yielded a total of 1559 records, of which 40 (2.57%) were ultimately included in this study. As of August 2023, digital health solutions are reimbursable to some extent in all studied countries except Poland, although the mechanism of reimbursement differs significantly across countries. At the time of writing, the pricing of digital health solutions was mostly determined through discussions between national or regional committees and the manufacturers of digital health solutions in the absence of value-based assessment mechanisms. Financing digital health solutions outside traditional reimbursement schemes was possible in all studied countries except Poland and typically occurs via health innovation or digital health-specific funding schemes. European countries have value-based pricing frameworks that range from nonexistent to embryonic. CONCLUSIONS: Studied countries show divergent approaches to the reimbursement of digital health solutions. These differences may complicate the ability of patients to seek cross-country health care in another country, even if a digital health app is available in both countries. Furthermore, the fragmented environment will present challenges for developers of such solutions, as they look to expand their impact across countries and health systems. An increased emphasis on developing a clear conceptualization of digital health, as well as value-based pricing and reimbursement mechanisms, is needed for the sustainable integration of digital health. This study can therein serve as a basis for further, more detailed research as the field of digital health reimbursement evolves.

The global effect of digital health technologies on health workers' competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis.

Systematic reviews have quantified the effectiveness, feasibility, acceptability, and cost-effectiveness of digital health technologies (DHTs) used by health-care workers. We aimed to collate available evidence on technologies' effect on health-care workers' competencies and performance. We searched the Cochrane Database of Systematic Reviews, Embase, MEDLINE, Epistemonikos, and Scopus for reviews published from database inception to March 1, 2023. Studies assessing the effects of DHTs on the organisational, socioeconomic, clinical, and epidemiological levels within the workplace, and on health-care workers' performance parameters, were included. Data were extracted and clustered into 25 domains using vote counting based on the direction of effect. The relative frequency of occurrence (RFO) of each domain was estimated using R software. AMSTAR-2 tool was used to appraise the quality of reporting, and the Confidence in the Evidence from Reviews of Qualitative research approach developed by Grading of Recommendations Assessment, Development and Evaluation was used to analyse the certainty of evidence among included studies. The 12 794 screened reviews generated 132 eligible records for assessment. Top-ranked RFO identifiers showed associations of DHT with the enhancement of health-care workers' performance (10·9% [95% CI 5·3-22·5]), improvement of clinical practice and management (9·8% [3·9-24·2]), and improvement of care delivery and access to care (9·2% [4·1-20·9]). Our overview found that DHTs positively influence the daily practice of health-care workers in various medical specialties. However, poor reporting in crucial domains is widely prevalent in reviews of DHT, hindering our findings' generalisability and interpretation. Likewise, most of the included reviews reported substantially more data from high-income countries. Improving the reporting of future studies and focusing on low-income and middle-income countries might elucidate and answer current knowledge gaps.

Barriers and facilitators to utilizing digital health technologies by healthcare professionals.

Digital technologies change the healthcare environment, with several studies suggesting barriers and facilitators to using digital interventions by healthcare professionals (HPs). We consolidated the evidence from existing systematic reviews mentioning barriers and facilitators for the use of digital health technologies by HP. Electronic searches were performed in five databases (Cochrane Database of Systematic Reviews, Embase®, Epistemonikos, MEDLINE®, and Scopus) from inception to March 2023. We included reviews that reported barriers or facilitators factors to use technology solutions among HP. We performed data abstraction, methodological assessment, and certainty of the evidence appraisal by at least two authors. Overall, we included 108 reviews involving physicians, pharmacists, and nurses were included. High-quality evidence suggested that infrastructure and technical barriers (Relative Frequency Occurrence [RFO] 6.4% [95% CI 2.9-14.1]), psychological and personal issues (RFO 5.3% [95% CI 2.2-12.7]), and concerns of increasing working hours or workload (RFO 3.9% [95% CI 1.5-10.1]) were common concerns reported by HPs. Likewise, high-quality evidence supports that training/educational programs, multisector incentives, and the perception of technology effectiveness facilitate the adoption of digital technologies by HPs (RFO 3.8% [95% CI 1.8-7.9]). Our findings showed that infrastructure and technical issues, psychological barriers, and workload-related concerns are relevant barriers to comprehensively and holistically adopting digital health technologies by HPs. Conversely, deploying training, evaluating HP's perception of usefulness and willingness to use, and multi-stakeholders incentives are vital enablers to enhance the HP adoption of digital interventions.