An Emergent Network for the Diffusion of Innovations Among Local Health Departments at the Onset of the COVID-19 Pandemic.

INTRODUCTION: Communication networks among professionals can be pathways for accelerating the diffusion of innovations if some local health departments (LHDs) drive the spread of knowledge. Such a network could prove valuable during public health emergencies such as the novel coronavirus disease 2019 (COVID-19) pandemic. Our objective was to determine whether LHDs in the United States were tied together in an informal network to share information and advice about innovative community health practices, programs, and policies. METHODS: In January and February 2020, we conducted an online survey of 2,303 senior LHD leaders to ask several questions about their sources of advice. We asked respondents to rank up to 3 other LHDs whose practices informed their work on new public health programs, evidence-based practices, and policies intended to improve community health. We used a social network analysis program to assess answers. RESULTS: A total of 329 LHDs responded. An emergent network appeared to operate nationally among 740 LHDs. Eleven LHDs were repeatedly nominated by peers as sources of advice or examples (ie, opinion leaders), and 24 acted as relational bridges to hold these emergent networks together (ie, boundary spanners). Although 2 LHDs played both roles, most LHDs we surveyed performed neither of these roles. CONCLUSION: Opinion leading and boundary spanning health departments can be accessed to increase the likelihood of affecting the rate of interest in and adoption of innovations. Decision makers involved in disseminating new public health practices, programs, or policies may find our results useful both for emergencies and for practice-as-usual.

[Role of the information systems and e-health in the COVID-19 pandemic. A call to action.] / Papel de los sistemas de información y la salud electrónica en la pandemia de COVID-19. Una llamada a la acción.

In March 2020, the World Health Organization declared the 2019 coronavirus disease (COVID-19) outbreak a pandemic, with the coronavirus disease spreading worryingly fast. In this context, information systems, digital health (electronic health, mobile health), the Internet of things, play a key role, since they can contribute to fight against COVID-19 by introducing smarter solutions to achieve a rapid control in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease. However, these technologies need a solid regulatory framework that contributes to their implementation and integration in health systems, and to improve the national response in public health. In this context, coordination between administrations and the standardization and interoperability of information are necessary. Now is the time to establish the legal and knowledge bases so that everything that has been learned and advanced is integrated into health systems, promoting safe and evidence-based use.

En marzo de 2020, la Organización Mundial de la Salud declaró el brote de la enfermedad por coronavirus 2019 (COVID-19) como una pandemia, con una propagación preocupantemente rápida. En este contexto, los sistemas de información, la salud digital (salud electrónica, salud móvil) y/o el Internet de las cosas toman un papel relevante, ya que pueden contribuir a luchar contra la COVID-19, introduciendo soluciones más inteligentes para lograr un control rápido del síndrome respiratorio agudo severo coronavirus 2 (SARS-CoV-2), el virus que causa la enfermedad. Pero estas tecnologías necesitan de un marco regulatorio sólido que contribuya a su implantación e integración en los sistemas de salud y mejorar la respuesta nacional en materia de Salud Pública. En este contexto, es necesaria una coordinación entre administraciones, así como la estandarización e interoperabilidad de la información. Ahora es tiempo de sentar las bases, tanto legales como de conocimiento, para que todo lo que se ha aprendido y avanzado se integre en los sistemas sanitarios, promoviendo un uso seguro y basado en la evidencia.

Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.

Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the COVID-19 pandemic in the US. Response efforts involve the collection and analysis of data corresponding to healthcare organizations, public health departments, socioeconomic indicators, as well as additional signals collected directly from individuals and communities. We focused on electronic health record (EHR) data, since EHRs can be leveraged and scaled to improve clinical care, research, and to inform public health decision-making. We outline the current challenges in the data ecosystem and the technology infrastructure that are relevant to COVID-19, as witnessed in our 15 institutions. The infrastructure includes registries and clinical data networks to support population-level analyses. We propose a specific set of strategic next steps to increase interoperability, overall organization, and efficiencies.

Implications of telehealth and digital care solutions during COVID-19 pandemic: a qualitative literature review.

The coronavirus disease 2019 (COVID-19) pandemic has brought changes to the way medical care is delivered to keep health workers safe while simultaneously managing available resources. The well-being of patients and healthcare workers is crucial and has become a topic of debate as the world faces adjusts to the COVID-19 pandemic. Therefore, there is need to consider innovative methods of delivering medical care. Telehealth and digital health care which is the provision of medical care via Information Communication Technology (ICT) with highspeed telecommunications systems, has increasingly becoming popular in providing medical care services can be adopted to reduce infections during quarantine and social distancing practices. Specifically, by means of document and literature review this paper discusses the role of telehealth and digital care solutions, types and application of telehealth, and current policies for COVID-19. More importantly, findings from the article present the human, infrastructure, and institutional determinants that influence the adoption of telehealth and digital care solutions during the pandemic. The findings discuss how telehealth and digital care technologies can benefit the society. This study provides implications to informs medical staffs on the potential of digital technologies to provide support during and after the pandemic.

Wait-time reporting systems for elective surgery in Canada: a content analysis of provincial and territorial initiatives.

BACKGROUND: In Canada, a substantial barrier to the accessibility of surgical procedures is wait times. The objective of this study was to develop and describe an inventory of wait-time reporting systems for elective surgical procedures. METHODS: Between June and August 2019, we searched all Canadian provincial and territorial ministry of health websites to identify the wait-time reporting systems in place. We conducted content analysis and used a qualitative descriptive approach to compare the variables of interest across the provinces and territories. RESULTS: There were websites available for assessment in all 13 provinces and territories. Seven provinces have comprehensive, centralized wait-time reporting systems. The rest of the provinces have highly decentralized wait-time reporting, and the territories do not have wait-time reporting systems in place. There is substantial variation in the comprehensiveness, purpose, data sources and data collection methods among the wait-time reporting systems across the provinces and territories. INTERPRETATION: Wait-time reporting for elective surgery in Canada is diverse, and it varies in comprehensiveness across the provinces and territories. The present findings can help direct future investigations of Canadian reporting systems, which would provide useful information for policy-makers and those interested in reducing wait times in Canada.

Factors That Influence Data Use to Improve Health Service Delivery in Low- and Middle-Income Countries.

BACKGROUND: Health service delivery indicators are designed to reveal how well health services meet a community's needs. Effective use of the data can enable targeted improvements in health service delivery. We conducted a systematic review to identify the factors that influence the use of health service delivery indicators to improve delivery of primary health care services in low- and middle-income settings. METHODS: We reviewed empirical studies published in 2005 or later that provided evidence on the use of health service delivery data at the primary care level in low- and middle-income countries. We searched Scopus, Medline, the Cochrane Library, and citations of included studies. We also searched the gray literature, using a separate strategy. We extracted information on study design, setting, study population, study objective, key findings, and any identified lessons learned. RESULTS: Twelve studies met the inclusion criteria. This small number of studies suggests there is insufficient evidence to draw reliable conclusions. However, a content analysis identified the following potentially influential factors, which we classified into 3 categories: governance (leadership, participatory monitoring, regular review of data); production of information (presentation of findings, data quality, qualitative data); and health information system resources (electronic health management information systems, organizational structure, training). Contextual factors and performance-based financing were also each found to have a role; however, discussing these as mediating factors may not be practical in terms of promoting data use. CONCLUSION: Scant evidence exists regarding factors that influence the use of health service delivery indicators to improve delivery of primary health care services in low- and middle-income countries. However, the existing evidence highlights some factors that may have a role in improving data use. Further research may benefit from comparing data use factors across different types of program indicators or using our classification as a framework for field experiments.

What is the future of patient-reported outcomes in sickle-cell disease?

INTRODUCTION: Sickle cell disease (SCD) is a complex, chronic disease caused by abnormal polymerization of hemoglobin, which leads to severe pain episodes, fatigue, and end-organ damage. Patient reported outcomes (PROs) have emerged as a critical tool for measuring SCD disease severity and response to treatment. AREAS COVERED: Authors review the key issues involved when deciding to use a PRO in a clinical trial. We describe the most highly recommended generic and disease-specific PRO tools in SCD and discuss the challenges of incorporating them in clinical practice. EXPERT OPINION: PRO measures are essential to incorporate into SCD clinical trials either as primary or secondary outcomes. The use of PRO measures in SCD facilitates a patient-centered approach, which is likely to lead to improved outcomes. Significant challenges remain in adapting PRO tools to routine clinical use and in developing countries.

Factors related to the adoption of the Brazilian National Immunization Program Information System.

BACKGROUND: One way to optimize the adoption and use of technological innovations is to understand how those involved perceive, assess and decide to use them. This study aims to analyze the attributes that influence the adoption and use of the Brazilian National Immunization Program Information System (NIPIS) from the perspective of vaccination room workers. METHODS: This is a mixed method research, and a quantitative cross-sectional analytical study, with concomitant triangulation of data, carried out in a region of Brazil by using the Diffusion of Innovation Theory. We used a questionnaire with 183 nursing professionals who work at vaccination rooms in 12 municipalities. To test the research model, partial least squares structural equation modeling (PLS-SEM) and SmartPLS 2.3.0 have been applied to estimate the model. The qualitative research had a descriptive-exploratory character, using interviews (n = 18) analyzed through thematic analysis. RESULTS: The model proposed showed a mean correlation between the perceived attributes in the adoption and use of NIPIS. The results of the multiple regression indicated that the attributes "relative advantage" and "image" have a significant effect at 5% level (T > 1.97), positively influence the adoption and use of NIPIS; the attribute "voluntary use" negatively influences the adoption and use of the system; the attributes "experimentation", "compatibility", "profitability", and "ease of use" did not influence the adoption and use of NIPIS. Emphasis has been placed on aspects that weaken the adoption and use of NIPIS such as lack of good quality internet and resistance to use the technology by some professionals. Workers perceive the importance of NIPIS for the municipality and point out that technological innovation provides data at an individual level, inserted in real time, which makes it possible to assess vaccination coverage. Lack of an unstable internet compromises data release due to system slowness. CONCLUSIONS: The mixed method allowed an in-depth analysis of the adoption and use of NIPIS in the Western Health Macroregion of Minas Gerais State, and similarities were observed in the results. The attribute "relative advantage" is the one that most influences the adoption and use of NIPIS, which is the strongest predictor of innovation adoption rate.

Los sistemas de información y la salud digital en la pandemia de COVID-19: examen posterior a la acción de los 100 primeros días de cuarentena / COVID-19 information systems and digital health: after-action review of the first 100 days in quarantine

En apenas unos meses, la pandemia de COVID-19 ha alterado profundamente todos los sectores de la sociedad: nuestra forma de vivir, de gobernarnos, de desplazarnos, de trabajar y de estudiar, así como la manera en que las naciones y nosotros mismos manejamos la salud. En resumen, ha alterado muchas estructuras sociales que creíamos firmemente establecidas. En el caso del sector de la salud pública, se han extraído muchas enseñanzas que permitirán mejorar la respuesta a las pandemias en el futuro, además de mejorar el sistema de salud desde la perspectiva de los sistemas de información para la salud y, finalmente, de la salud digital.

In just a few months, the COVID-19 pandemic has had a disruptive impact on all sectors of society: on how we live, how we govern ourselves, how we mobilize, how we work, how we educate ourselves, and how nations manage and how we manage our health ourselves. In short, it has targeted many social structures that we believed to be fixed. As for the public health sector, many lessons have emerged to improve the response to future pandemics but also to improve the health system from the perspective of information systems for health and finally of digital health.

Developing a harmonized heat warning and information system for Ontario: a case study in collaboration.

BACKGROUND: Heat wave early warning systems help alert decision-makers and the public to prepare for hot weather and implement preventive actions to protect health. Prior to harmonization, public health units across Ontario either used independent systems with varying methodologies for triggering and issuing public heat warnings or did not use any system. The federal government also issued heat warnings based on different criteria. During heat events, adjacent public health units in Ontario and the federal government would routinely call heat warnings at different times with separate public messages, leading to confusion. This article describes the collaborative process and key steps in developing a harmonized Heat Warning and Information System (HWIS) for Ontario. SETTING: Public health units across Ontario, Canada, collaborated with the federal and provincial government to develop the harmonized HWIS for Ontario. INTERVENTION: In 2011, stakeholders identified the need to develop a harmonized system across Ontario to improve heat warning services, warning criteria, and health messaging. Through a 5-year process facilitated by a non-governmental organization, the three levels of government collaborated to establish the Ontario HWIS. OUTCOMES: The province-wide HWIS was implemented in 2016 with the Ontario Ministry of Health and Long-Term Care's release of the harmonized HWIS Standard Operating Practice, which outlined the notification and warning process. IMPLICATIONS: The lessons learned could help spur action in other provinces and jurisdictions internationally in the development of similar health evidence-based warning systems, including in particular those for protecting public health during extreme heat events.

Early Warnings: The Lessons of COVID-19 for Public Health Climate Preparedness.

The early 2020 response to COVID-19 revealed major gaps in public health systems around the world as many were overwhelmed by a quickly-spreading new coronavirus. While the critical task at hand is turning the tide on COVID-19, this pandemic serves as a clarion call to governments and citizens alike to ensure public health systems are better prepared to meet the emergencies of the future, many of which will be climate-related. Learning from the successes as well as the failures of the pandemic response provides some guidance. We apply several recommendations of a recent World Health Organization Policy Brief on COVID-19 response to 5 key areas of public health systems - governance, information, services, determinants, and capacity - to suggest early lessons from the coronavirus pandemic for climate change preparedness. COVID-19 has demonstrated how essential public health is to well-functioning human societies and how high the economic cost of an unprepared health system can be. This pandemic provides valuable early warnings, with lessons for building public health resilience.

The global experience of digital health interventions in COVID-19 management.

Digital health interventions are globally playing a significant role to combat coronavirus disease 2019 (COVID-19), which is an infectious disease caused by Severe Acute Respiratory Syndrome coronavirus 2. Here, we present a very brief overview of the multifaceted digital interventions, globally, and in India, for maintaining health and health-care delivery, in the context of the Covid-19 pandemic.

The public health care system and primary care services in Saudi Arabia: a system in transition.

BACKGROUND: Saudi Arabia has invested heavily in its health care system by establishing health care infrastructures to improve health of the nation. However, it remains to be seen whether it is efficient and effective in providing health care services needed. Primary health care, which is the basis of universal health coverage, needs to be assessed on its performance, challenges and future opportunities to serve the Saudi Arabian population. AIMS: This review aimed to identify challenges within the Saudi Arabian health care system with a focus on primary health care services, and to analyse the interrelated factors in order to suggest remedial reforms to further strengthen and improve the health care system. METHODS: A narrative review of previous studies and governmental reports was undertaken to extract, analyse, synthesize and report the findings. RESULTS: The review found a number of key areas for improvement in the primary health care system. These areas include: the scope, structure, infrastructure, financing, increased demand, increased costs and workforce capacity. Other critical challenges include inequitable access to health services, quality and safety of services, the growing burden of chronic diseases, lack of an effective information system, management and leadership issues, and gaps in the referral system. CONCLUSION: The Saudi Arabian health care system needs comprehensive reform with a focus on primary health care.

Efficient and Secure Attribute Based Access Control Architecture for Smart Healthcare.

The smart health medical system is expected to enhance the quality of health care services significantly. These system keeps patients related record and provides the services over the insecure public channel which may cause data security and privacy concerns in a smart health system. On the other hand, ciphertext attribute-based encryption(CP-ABE) provides possible encrypted data security. There are some security flaws in CP-ABE, where the existing access policies are in the cleartext form for accessing encrypted sensitive data. On the other hand, it supports the small attribute universe, which restricts the practical deployments of CP-ABE. Moreover, outsider adversary observed the communication, which also creates a serious threat to CP-ABE model. To overcome security and privacy risk, efficient access control have been designed and devolved for medical services. Although we also demonstrate the security analysis of Zhang et al.'s scheme, which is vulnerable to inefficient security proof and man in the middle attack. In the proposed scheme, we proposed an efficient and security preserve scheme to overcome the weaknesses of Zhang's et al.'s system. The protocol satisfies the attribute values of the medical user with hidden access policies. It has been proved under the standard model, which ensure the security of the protocol. Moreover, performance analysis comparison shows that the proposed scheme is more efficient than the existing one.

Transforming Healthcare Cybersecurity from Reactive to Proactive: Current Status and Future Recommendations.

The recent rise in cybersecurity breaches in healthcare organizations has put patients' privacy at a higher risk of being exposed. Despite this threat and the additional danger posed by such incidents to patients' safety, as well as operational and financial threats to healthcare organizations, very few studies have systematically examined the cybersecurity threats in healthcare. To lay a firm foundation for healthcare organizations and policymakers in better understanding the complexity of the issue of cybersecurity, this study explores the major type of cybersecurity threats for healthcare organizations and explains the roles of the four major players (cyber attackers, cyber defenders, developers, and end-users) in cybersecurity. Finally, the paper discusses a set of recommendations for the policymakers and healthcare organizations to strengthen cybersecurity in their organization.

What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems Success Model.

BACKGROUND: Despite a growing need for designing and monitoring health information sites through comprehensive examination of the various elements of website quality, there is little research that systematically models and presents such examinations. OBJECTIVES: Applying the updated DeLone and McLean Model of Information Systems Success, this research aimed to examine how health information sites' information quality, system quality, and service quality lead to user satisfaction and perceived benefits. METHODS: This research was conducted in a specific context of the National Health Information Portal (NHIP), a governmental health information site in South Korea. We conducted online survey in 2017, with 506 adults from the NHIP consumer panel. Data were analyzed using a confirmatory factor analysis, hierarchical ordinary least squares regression, and bootstrapping approach for a mediation test. RESULTS: Of the three quality factors, information quality had significant associations with all outcome variables: user satisfaction, intention to reuse the site, and perceived benefits of site use in health settings. There were also indirect paths from information quality to perceived benefits, one mediated through intention and the other mediated through satisfaction and then intention. Service quality had a significant association with user satisfaction, and its impact on perceived benefits occurred indirectly through user satisfaction and intention in serial. By contrast, the role of system quality received no empirical support. IMPLICATIONS: The results offer theoretical and practical implications for how to enhance the effectiveness of online health information sites.

Design and Preliminary Experience of a Tele-Radiotherapy System for a Medical Alliance in China.

Background: The medical alliance and telemedicine are considered to be important means to solve the imbalance between regions and shortage of professionals and promote the homogenization of medical services. Sichuan Provincial People's Hospital Group (SPPHG) is a network of hospitals with different levels of expertise, and all the members with radiotherapy form a radiotherapy network (RTN). Addressing the inadequacy and imbalance of radiotherapy services of Sichuan Province, China, a tele-radiotherapy system for RTN-SPPHG is designed, which includes the business model and corresponding technical implementation of an information system. Materials and Methods: In the RTN-SPPHG, a distributed remote collaboration business model is explored and a tele-radiotherapy information system is customized for this telemedicine model. Both the business model and tailored information system were evaluated in actual use. Results: Based on the tele-radiotherapy system of RTN-SPPHG, multitype hospitals are linked together and serve as a whole. Through the internet, the experience of experts of Sichuan Provincial People's Hospital is effectively deployed to member hospitals at the grassroot level. Conclusions: A close-knit medical alliance based on a tele-radiotherapy system should be a way to rapidly improve radiotherapy services and promote the homogenization of service in a region.

The Firearms Data Gap.

The firearms data infrastructure in the United States is severely limited in scope and fragmented in nature. Improved data systems are needed in order to address gun violence and promote productive conversation about gun policy. In the absence of federal leadership in firearms data systems improvement, motivated states may take proactive steps to stitch gaps in data systems. We propose that states evaluate the gaps in their systems, expand data collection, and improve data presentation and availability.