Comparison of Five Methods to Estimate the Parameters for the Three-Parameter Lindley Distribution with Application to Life Data.

We have studied one of the most common distributions, namely, Lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems. We studied this distribution with three parameters because of its high flexibility in modelling life data. The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and Cramér-von Mises. Simulation experiments were performed with different sample sizes and different parameter values. The different methods were compared on the generated data by mean square error and mean absolute error. In addition, we compared the methods for real data, which represent COVID-19 data in Iraq/Anbar Province.

Ações para a adequação da RNDS à lei geral de proteção de dados

A implementação da Rede Nacional de Dados em Saúde (RNDS) iniciou-se em junho de 2019 com os objetivos de oferecer benefícios de melhoria da assistência à saúde, a partir do acesso às informações e continuidade do cuidado nos níveis de atenção, de permitir eficiência na gestão dos recursos públicos e de impulsionar a Inovação na Saúde. Em março de 2020, a abrangência e o escopo do projeto da RNDS foram direcionados ao enfrentamento da COVID-19, para o fortalecimento da resposta do sistema de saúde, monitoramento e gestão da saúde populacional, oferta de soluções para engajamento ativo do usuário no controle da epidemia e processamento do esperado número de casos da doença. Desde as primeiras ações de planejamento, governança, definição de arquitetura e de regras negociais, o DATASUS se prepara para manter a RNDS em conformidade com a Lei Geral de Proteção de Dados (LGPD), com previsão de entrada em vigor para 3 de maio de 2021, conforme Medida Provisória n° 959, de 29 de abril de 2020.

Pactuação da minuta da Política Nacional de Informação e Informática em Saúde - PNIIS

Início do Planejamento na Estratégia de Saúde Digital 2020-2028, Programa Conecte SUS e a Rede Nacional de Dados em Saúde. Acompanhamento do Tributal de Contas da União - Fortalecimento e revisão dos instrumentos de Governança em Saúde Digital - PNIIS.

COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment.

OBJECTIVE: To evaluate the quality of information regarding the prevention and treatment of COVID-19 available to the general public from all countries. DESIGN: Systematic analysis using the 'Ensuring Quality Information for Patients' (EQIP) Tool (score 0-36), Journal of American Medical Association (JAMA) benchmark (score 0-4) and the DISCERN Tool (score 16-80) to analyse websites containing information targeted at the general public. DATA SOURCES: Twelve popular search terms, including 'Coronavirus', 'COVID-19 19', 'Wuhan virus', 'How to treat coronavirus' and 'COVID-19 19 Prevention' were identified by 'Google AdWords' and 'Google Trends'. Unique links from the first 10 pages for each search term were identified and evaluated on its quality of information. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: All websites written in the English language, and provides information on prevention or treatment of COVID-19 intended for the general public were considered eligible. Any websites intended for professionals, or specific isolated populations, such as students from one particular school, were excluded, as well as websites with only video content, marketing content, daily caseload update or news dashboard pages with no health information. RESULTS: Of the 1275 identified websites, 321 (25%) were eligible for analysis. The overall EQIP, JAMA and DISCERN scores were 17.8, 2.7 and 38.0, respectively. Websites originated from 34 countries, with the majority from the USA (55%). News Services (50%) and Government/Health Departments (27%) were the most common sources of information and their information quality varied significantly. Majority of websites discuss prevention alone despite popular search trends of COVID-19 treatment. Websites discussing both prevention and treatment (n=73, 23%) score significantly higher across all tools (p<0.001). CONCLUSION: This comprehensive assessment of online COVID-19 information using EQIP, JAMA and DISCERN Tools indicate that most websites were inadequate. This necessitates improvements in online resources to facilitate public health measures during the pandemic.

Challenges and lessons learned in promoting adoption of standardized local public health service delivery data through the application of the Public Health Activities and Services Tracking model.

Population-level prevention activities are often publicly invisible and excluded in planning and policymaking. This creates an incomplete picture of prevention service-related inputs, particularly at the local level. We describe the process and lessons learned by the Public Health Activities and Services Tracking team in promoting adoption of standardized service delivery measures developed to assess public health inputs and guide system transformations. The 3 factors depicted in our Public Health Activities and Services Tracking model-data need and use, data access, and standardized measures-must be realized to promote collection of standard public health system data. Bureaucratic, resource, system, and policy challenges hampered our efforts toward adoption of the standardized measures we promoted. Substantial investments of time, resources, and coordination appear necessary for systems to adopt changes needed for collecting comparable service delivery data. Lessons from our process of promoting adoption of standardized measures provide recommendations to support future efforts to measure public health system contributions to the public's health.

Birth Certificate Validity and the Impact on Primary Cesarean Section Quality Measure in New York State.

In New York (NY), birth certificate data are routinely used for assessing quality of care and health outcomes such as primary cesarean section (PCS) rates. However rare events are often underreported. This study compared birth certificates to medical records, and examined the impact of underreporting on risk adjustment variables for PCS. We conducted an internal validation study using a random sample of 702 NY births in 2009. Sensitivity and positive predictive value (PPV) of rare events reported on birth certificates were determined using abstracted and matched medical records as the gold standard. To assess the impact, we calculated PCS odds ratios for variables in the risk-adjustment model before and after correcting for measurement error. The sensitivity and PPV of birth certificate data elements including those in the PCS risk model varied from 0 to 100. After correction for measurement error, PCS odds ratios increased for most variables. For example, the PCS odds ratio for those with no prior live births was 3.03 (95% CI 2.94, 3.13), but after correction of measurement error increased to 3.46 (95% CI 3.22, 3.67). A composite negative event variable including abruptio placenta, eclampsia, or infection was the only variable that decreased after correction and was no longer significant (uncorrected OR 3.06, 95% CI 2.86, 3.29; corrected OR 1.42, 95% CI 0.79, 2.59). Underreporting on birth certificates remains concerning and impacts the risk adjustment for quality measures. Without improved data validity, health plans' quality metrics do not fully account for patient case-mix.

Development of the PHAST model: generating standard public health services data and evidence for decision-making.

Objective: Standardized data regarding the distribution, quality, reach, and variation in public health services provided at the community level and in wide use across states and communities do not exist. This leaves a major gap in our nation's understanding of the value of prevention activities and, in particular, the contributions of our government public health agencies charged with assuring community health promotion and protection. Public health and community leaders, therefore, are eager for accessible and comparable data regarding preventive services that can inform policy decisions about where to invest resources. Methods: We used literature review and a practice-based approach, employing an iterative process to identify factors that facilitate data provision among public health practitioners. Results: This paper describes the model, systematically developed by our research team and with input from practice partners, that guides our process toward maximizing the uptake and integration of these standardized measures into state and local data collection systems. Discussion: The model we developed, using a dissemination and implementation science framework, is intended to foster greater interest in and accountability for data collection around local health department services and to facilitate spatial exploration and statistical analysis of local health department service distribution, change, and performance. Conclusion: Our model is the first of its kind to thoroughly develop a means to guide research and practice in realizing the National Academy of Medicine's recommendation for developing systems to measure and track state and local public health system contributions to population health.

Information about epilepsy on the internet: An exploratory study of Arabic websites.

The aim of this study was to explore information about epilepsy found on Arabic websites. The researchers collected information from the internet between November 2016 and January 2017. Information was obtained using Google and Yahoo search engines. Keywords used were the Arabic equivalent of the following two keywords: epilepsy (Al-saraa) and convulsion (Tashanoj). A total of 144 web pages addressing epilepsy in Arabic were reviewed. The majority of web pages were websites of medical institutions and general health websites, followed by informational and educational websites, others, blogs and websites of individuals, and news and media sites. Topics most commonly addressed were medical treatments for epilepsy (50% of all pages) followed by epilepsy definition (41%) and epilepsy etiology (34.7%). The results also revealed that the vast majority of web pages did not mention the source of information. Many web pages also did not provide author information. Only a small proportion of the web pages provided adequate information. Relatively few web pages provided inaccurate information or made sweeping generalizations. As a result, it is concluded that the findings of the present study suggest that development of more credible Arabic websites on epilepsy is needed. These websites need to go beyond basic information, offering more evidence-based and updated information about epilepsy.

Evaluating the Quality and Usability of Open Data for Public Health Research: A Systematic Review of Data Offerings on 3 Open Data Platforms.

CONTEXT: Government datasets are newly available on open data platforms that are publicly accessible, available in nonproprietary formats, free of charge, and with unlimited use and distribution rights. They provide opportunities for health research, but their quality and usability are unknown. OBJECTIVE: To describe available open health data, identify whether data are presented in a way that is aligned with best practices and usable for researchers, and examine differences across platforms. DESIGN: Two reviewers systematically reviewed a random sample of data offerings on NYC OpenData (New York City, all offerings, n = 37), Health Data NY (New York State, 25% sample, n = 71), and HealthData.gov (US Department of Health and Human Services, 5% sample, n = 75), using a standard coding guide. SETTING: Three open health data platforms at the federal, New York State, and New York City levels. MAIN OUTCOME MEASURES: Data characteristics from the coding guide were aggregated into summary indices for intrinsic data quality, contextual data quality, adherence to the Dublin Core metadata standards, and the 5-star open data deployment scheme. RESULTS: One quarter of the offerings were structured datasets; other presentation styles included charts (14.7%), documents describing data (12.0%), maps (10.9%), and query tools (7.7%). Health Data NY had higher intrinsic data quality (P < .001), contextual data quality (P < .001), and Dublin Core metadata standards adherence (P < .001). All met basic "web availability" open data standards; fewer met higher standards of "hyperlinked to other data." CONCLUSIONS: Although all platforms need improvement, they already provide readily available data for health research. Sustained effort on improving open data websites and metadata is necessary for ensuring researchers use these data, thereby increasing their research value.

TB-HIV co-infection in the Netherlands: estimating prevalence and under-reporting in national registration databases using a capture-recapture analysis.

BACKGROUND: Knowledge of the HIV status in patients with tuberculosis (TB) and vice versa is crucial for proper individual patient management, while knowledge of the prevalence of co-infection guides preventive and therapeutic strategies. The aim of the study was to assess if national disease databases on TB and HIV are adequate sources to provide this information. METHODS: A two way capture-recapture analysis to assess the completeness of the registers, and to obtain the prevalence of TB-HIV co-infection in the Netherlands in the years 2002-2012. RESULTS: HIV testing was performed in less than 50% of the patients with TB. Of the 932 TB-HIV infected patients, just 293 (31.4%) were registered in both registers. Under-reporting of TB-HIV co-infection ranged from 50% to 70% in the national TB register, and from 31% to 37% in the HIV database. Prevalence of TB-HIV co-infection in the Netherlands in 2012 was 7.1% (95% CI 6.0% to 8.3%), which was more than double of the prevalence estimated from the national TB database. CONCLUSIONS: TB-HIV co-infection is markedly under-reported in national disease databases. There is an urgent need for improved registration and preferably a routine data exchange between the two surveillance systems.

A Strategic Study about Quality Characteristics in e-Health Systems Based on a Systematic Literature Review.

e-Health Systems quality management is an expensive and hard process that entails performing several tasks such as analysis, evaluation, and quality control. Furthermore, the development of an e-Health System involves great responsibility since people's health and quality of life depend on the system and services offered. The focus of the following study is to identify the gap in Quality Characteristics for e-Health Systems, by detecting not only which are the most studied, but also which are the most used Quality Characteristics these Systems include. A strategic study is driven in this paper by a Systematic Literature Review so as to identify Quality Characteristics in e-Health. Such study makes information and communication technology organizations reflect and act strategically to manage quality in e-Health Systems efficiently and effectively. As a result, this paper proposes the bases of a Quality Model and focuses on a set of Quality Characteristics to enable e-Health Systems quality management. Thus, we can conclude that this paper contributes to implementing knowledge with regard to the mission and view of e-Health (Systems) quality management and helps understand how current researches evaluate quality in e-Health Systems.

Better health intelligence: a new era for civil registration and vital statistics?

The impetus and opportunities for improving birth, death, and cause of death data have never been more propitious. Renewed country commitment to strengthen vital registration systems is clearly evident, supported by nascent regional coalitions of technical and development organisations. The announcement of a major new investment by Bloomberg Philanthropies to strengthen data systems and capacity in selected countries has the potential to catalyse and realise significant improvements in the availability and quality of data for health. This will require technical leadership, strategic intervention choices, strong country partnerships, and efficient delivery and management of multiple technical interventions across participating countries.

Assessment of timeliness, representativeness and quality of data reported to Italy's national integrated surveillance system for acute viral hepatitis (SEIEVA).

OBJECTIVES: Periodic assessment of surveillance systems is recommended to verify whether they are appropriately monitoring the public health problem under surveillance. The aim of this study was to evaluate timeliness, data quality and representativeness of data reported to the Italian Integrated Epidemiological System for Acute Viral Hepatitis (SEIEVA). STUDY DESIGN: Cross-sectional analysis of surveillance data. METHODS: Quantitative indicators were used to evaluate representativeness of reported cases, data quality, and timeliness between surveillance steps, for reports of acute viral hepatitis cases with date of onset of symptoms from 2009 to 2012 (N = 4516). RESULTS: Representativeness was 75%. Over 95% of records reported information on age, sex, city of residence, risk factors for hepatitis A and vaccination status. Information on risk factors for hepatitis B and C were reported less consistently (83%), as was information on early outcome (60%). Wide delays were found between surveillance steps. CONCLUSIONS: The system collects high quality data on acute viral hepatitis cases in Italy. Timeliness was found to be the main limit and needs to be improved by optimizing web-based reporting procedures, increasing communication with participating centres, improving feedback and increasing dissemination of surveillance results. The study highlights the importance of reporting timeliness to detect outbreaks of acute viral hepatitis.

[Evaluation of performance of national injury surveillance in China, 2006-2012].

OBJECTIVE: To evaluate the performance of national injury surveillance in China and provide evidence for the utilization and interpretation of surveillance data and the improvement of injury surveillance. METHODS: According to the national injury surveillance protocol, a retrospective analysis was conducted on the quality of injury surveillance carried out by the centers for disease control and prevention (CDCs) at all levels in China from 2006 to 2012. And related human resource and budget data in 2012 were collected for analysis. RESULTS: From 2006 to 2012, the injury cases reported to national injury surveillance system increased by 1 time in China. The underreporting rate of injury cases and mis-filling rate of reporting cards decreased in 31 surveillance points (72.1%) and 23 surveillance points (53.5%) respectively. In 2012, the underreporting rates were less than 10% in 33 surveillance points (76.7%) , and the mis-filling rates were less than 10% in 39 surveillance points (90.7%) . Only 19 provincial CDCs (44.2%) and 32 county/district CDCs had full time staff engaged in injury surveillance. Three surveillance points (7.0%) never published their injury surveillance data, while 13 surveillance points shared injury surveillance data with other departments. CONCLUSION: The quality of injury surveillance was greatly improved in China during 2006-2012, but more efforts are still needed for the further improvement of national injury surveillance, including the increase of human resources and fund investments and more use of surveillance data.

Methods for assessing the quality of data in public health information systems: a critical review.

The quality of data in public health information systems can be ensured by effective data quality assessment. In order to conduct effective data quality assessment, measurable data attributes have to be precisely defined. Then reliable and valid measurement methods for data attributes have to be used to measure each attribute. We conducted a systematic review of data quality assessment methods for public health using major databases and well-known institutional websites. 35 studies were eligible for inclusion in the study. A total of 49 attributes of data quality were identified from the literature. Completeness, accuracy and timeliness were the three most frequently assessed attributes of data quality. Most studies directly examined data values. This is complemented by exploring either data users' perception or documentation quality. However, there are limitations of current data quality assessment methods: a lack of consensus on attributes measured; inconsistent definition of the data quality attributes; a lack of mixed methods for assessing data quality; and inadequate attention to reliability and validity. Removal of these limitations is an opportunity for further improvement.

Infectious disease surveillance in the 21st century: an integrated web-based surveillance and case management system.

The Massachusetts Virtual Epidemiologic Network (MAVEN) was deployed in 2006 by the Massachusetts Department of Public Health, Bureau of Infectious Disease to serve as an integrated, Web-based disease surveillance and case management system. MAVEN replaced program-specific, siloed databases, which were inaccessible to local public health and unable to integrate electronic reporting. Disease events are automatically created without human intervention when a case or laboratory report is received and triaged in real time to state and local public health personnel. Events move through workflows for initial notification, case investigation, and case management. Initial development was completed within 12 months and recent state regulations mandate the use of MAVEN by all 351 jurisdictions. More than 300 local boards of health are using MAVEN, there are approximately one million events, and 70 laboratories report electronically. MAVEN has demonstrated responsiveness and flexibility to emerging diseases while also streamlining routine surveillance processes and improving timeliness of notifications and data completeness, although the long-term resource requirements are significant.

Assessment of pandemic preparedness in a socially vulnerable community in south Texas.

The purpose of this research was to obtain information about general and pandemic preparedness efforts of residents within San Patricio County in South Texas, as well as to identify the most effective means of communicating the risks posed by pandemic influenza. The population of San Patricio County is socially vulnerable to a variety of disasters, including influenza pandemics due to the unique demographic profile of the county as well as its location on the Gulf Coast. The goals of this study were to help with pandemic planning efforts and to provide recommendations that could serve as a foundation for building more resilient communities within San Patricio County. Clearly the various governmental levels must work together to assist communities prepare for pandemic preparedness but broad, inclusive community participation is also necessary to strengthen community resilience.