UNASSIGNED: To analyze the death of Brazilian pregnant and postpartum women due to COVID-19 or unspecific cause.
UNASSIGNED: This is retrospective, descriptive-exploratory, population-based study carried out with the Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) database, with pregnant and postpartum women of reproductive age who died from confirmed COVID-19 between 2020 and 2021. The chosen variables were: age, gestational period, type and number of comorbidities, skin color, using the statistical software R Foundation for Statistical Computing Platform, version 4.0.3 and Statistical Package for Social Science, version 29.0 for analysis.
UNASSIGNED: A total of 19,333 cases of pregnant and postpartum women aged between 10 and 55 years diagnosed with SARS were identified, whether due to confirmed COVID-19 or unspecific causes. Of these, 1,279 died, these cases were classified into two groups according to the cause of death: deaths from COVID-19 (n= 1,026) and deaths from SARS of unspecific cause (n= 253).
UNASSIGNED: The risk of death increased among black and brown women, in the postpartum period and with the presence of comorbidities, mainly diabetes, cardiovascular diseases and obesity. The data presented here draw attention to the number of deaths from SARS, especially among sociodemographic profiles, precarious access to health, such as the black population. In addition, limitations in adequate access to health care are reinforced by even lower rates of ICU admissions among women who died from SARS of an unspecified cause.

UNASSIGNED: To compare information on highly complex radiological procedures-computed tomography (CT) and magnetic resonance imaging (MRI)-between the public and private health care systems, across the five regions of Brazil, in terms of the numbers of radiological devices and examinations performed, between 2015 and 2021.
UNASSIGNED: This was a descriptive time series analysis of secondary data in the public domain, available from the Information Technology Department of the Brazilian Unified Health Care System, an entity of the Brazilian National Ministry of Health (NMH) that is responsible for collecting and storing health-related information in Brazil. The analysis included the numbers of CT and MRI scanners; the volumes and types of examinations; the type of institution (public or private); the regions of the country; and the years (2015 to 2021).
UNASSIGNED: Progressive increases in the numbers of CT and MRI devices, as well as in the volumes of examinations, were observed over the years in all regions of the country. The private sector showed higher rates of equipment acquisition and of growth in the number of examinations. However, the public health care system did not reach the equipment targets set by the NMH, whereas the private health care system surpassed those targets. A greater number of examinations were performed in the private sector than in the public sector.
UNASSIGNED: During the period evaluated, the public health care system did not meet the equipment or examination targets recommended by the NMH, in any of the regions of the country, unlike the private health care system, which exceeded both in all of the regions.
UNASSIGNED: Comparar informações sobre procedimentos radiológicos de alta complexidade – tomografia computadorizada (TC) e ressonância magnética (RM) –, considerando o número de aparelhos e o quantitativo de exames nas esferas pública e privada nas cinco regiões brasileiras entre 2015 e 2021.
UNASSIGNED: Trata-se de um estudo descritivo de série temporal que utilizou dados secundários do Departamento de Informática do Sistema Único de Saúde, órgão do Ministério da Saúde (MS) responsável pela coleta e armazenamento das informações relacionadas à saúde no Brasil. Analisamos os números de aparelhos e de exames de TC e RM, considerando os tipos de aparelhos e exames, instituição (pública ou privada), região brasileira e ano (2015 a 2021).
UNASSIGNED: Houve aumento de aparelhos e exames de TC e RM em todas as regiões ao longo dos anos. A esfera privada apresentou maior aquisição desses aparelhos e crescimento no número de exames. O sistema público não atingiu o número de aparelhos preconizado pelo MS, enquanto o sistema privado superou a recomendação. Observou-se maior número de exames na esfera privada quando comparada à pública.
UNASSIGNED: O sistema público não atendeu aos números de aparelhos e exames realizados preconizados pelo MS, diferentemente da esfera privada, em todas as regiões no período estudado.

BACKGROUND: Global threats, such as the coronavirus disease 2019 (COVID-19) pandemic, have highlighted the critical importance of robust and well-functioning health information systems (HIS) in effectively addressing public health emergencies. To enhance the understanding and the functioning of such systems, it is crucial to perform HIS assessments. This article explores key gaps and identifies best practices in the COVID-19 HIS of eight European countries. Furthermore, it provides recommendations to strengthen European systems for better pandemic preparedness.
METHODS: Assessments were carried out in eight European countries using an adapted version of the WHO support tool to strengthen HIS and the Joint Action on Health Information assessment tool. The assessments took place between January 2022 and April 2023.
RESULTS: Four main themes emerged regarding the gaps and best practices identified in the various HIS: organizational, technical, legal and resources. The results of these assessments show different approaches implemented by countries to improve their HIS and respond to the demands of the pandemic.
CONCLUSIONS: It is imperative for countries to draw valuable insights from the COVID-19 pandemic and strengthen their HIS. This involves the adaptation or development of pandemic preparedness plans, strengthening legislative framework for data sharing and privacy protection, promotion of data standards and international definitions and implementation of a unique person identifier. Additionally, countries will have to act in this post-pandemic era and integrate the newly developed systems and innovations into existing structures, maintain and develop trust by citizens through transparent communication and engage in infodemic management and address resource gaps in the workforce.

Congenital anomalies (CAs) are an important cause of infant mortality and efficient surveillance is necessary for their prevention. Therefore, the objective of this study is to establish baselines of prevalence at birth of priority CAs for surveillance in the state of Santa Catarina, using data from the Live Birth Information System considering the period 2011-2019 (baseline) and 2020 (pandemic year). The analyses were carried out based on the mother\'s residence health macroregion. The CAs were selected following the ICD-10 coding for chapter XVII. Birth prevalence was calculated per 10,000 live births and the confidence interval was established at 95%. 2011-2019 recorded 88.8/10,000 births with CAs (total). For 2011-2019, limb defects (without polydactyly) were the most prevalent (14.1/10,000), followed by congenital heart defects (8.9), oral clefts (8.2), polydactyly (7.9), Down syndrome (5.6), hypospadias (5.4), neural tube defects (4.7), gastroschisis (3.3), undefined sex (1.2), microcephaly (0.8) and omphalocele (0.3). There were no significant differences in temporal and spatial distribution. However, unusual fluctuations were observed in 2020, which may reflect the pandemic in CAs notifications. In the base period, Santa Catarina recorded CAs below the expected level of being identified at birth. With this, we conclude that the training and awareness of teams are essential for the surveillance of CAs in Santa Catarina.

BACKGROUND: Primary Health Care (PHC) plays a crucial role in managing the COVID-19 pandemic, with only 8% of cases requiring hospitalization. However, PHC COVID-19 data often goes unnoticed on European government dashboards and in media discussions. This project aims to examine official information on PHC patient care during the COVID-19 pandemic in Europe, with specific objectives: (1) Describe PHC\'s clinical pathways for acute COVID-19 cases, including long-term care facilities, (2) Describe PHC COVID-19 pandemic indicators, (3) Develop COVID-19 PHC activity indicators, (4) Explain PHC\'s role in vaccination strategies, and (5) Create a PHC contingency plan for future pandemics.
METHODS: A mixed-method study will employ two online questionnaires to gather retrospective PHC data on COVID-19 management and PHC involvement in vaccination strategies. Validation will occur through focus group discussions with medical and public health (PH) experts. A two-wave Delphi survey will establish a European PHC indicators dashboard for future pandemics. Additionally, a coordinated health system action plan involving PHC, secondary care, and PH will be devised to address future pandemic scenarios.
METHODS: Quantitative data will be analysed using STATA v16.0 for descriptive and multivariate analyses. Qualitative data will be collected through peer-reviewed questionnaires and content analysis of focus group discussions. A Delphi survey and multiple focus groups will be employed to achieve consensus on PHC indicators and a common European health system response plan for future pandemics. The Eurodata research group involving researchers from 28 European countries support the development.
CONCLUSIONS: While PHC manages most COVID-19 acute cases, data remains limited in many European countries. This study collects data from numerous countries, offering a comprehensive perspective on PHC\'s role during the pandemic in Europe. It pioneers the development of a PHC dashboard and health system plan for pandemics in Europe. These results may prove invaluable in future pandemics. However, data may have biases due to key informants\' involvement and may not fully represent all European GP practices. PHC has a significant role in the management of the COVID-19 pandemic, as most of the cases are mild or moderate and only 8% needed hospitalization. However, PHC COVID-19 activity data is invisible on governments\' daily dashboards in Europe, often overlooked in media and public debates.

BACKGROUND: This study aimed at validating the updated DeLone and McLean\'s information systems success model (D&MISS) in a developing country\'s infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries\' the Health Information System\'s (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS\'s infectious disease pandemic readiness and response in developing countries?
METHODS: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model\'s six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported.
RESULTS: 70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05.
CONCLUSIONS: The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.

BACKGROUND: In conflict settings, as it is the case in Syria, it is crucial to enhance health information management to facilitate an effective and sustainable approach to strengthening health systems in such contexts. In this study, we aim to provide a baseline understanding of the present state of health information management in Northwest Syria (NWS) to better plan for strengthening the health information system of the area that is transitioning to an early-recovery stage.
METHODS: A combination of questionnaires and subsequent interviews was used for data collection. Purposive sampling was used to select twenty-one respondents directly involved in managing and directing different domains of health information in the NWS who worked with local NGOs, INGOs, UN-agencies, or part of the Health Working Group. A scoring system for each public health domain was constructed based on the number and quality of the available datasets for these domains, which were established by Checci and others.
CONCLUSIONS: Reliable and aggregate health information in the NWS is limited, despite some improvements made over the past decade. The conflict restricted and challenged efforts to establish a concentrated and harmonized HIS in the NWS, which led to a lack of leadership, poor coordination, and duplication of key activities. Although the UN established the EWARN and HeRAMS as common data collection systems in the NWS, they are directed toward advocacy and managed by external experts with little participation or access from local stakeholders to these datasets.
CONCLUSIONS: There is a need for participatory approaches and the empowerment of local actors and local NGOs, cooperation between local and international stakeholders to increase access to data, and a central domain for planning, organization, and harmonizing the process. To enhance the humanitarian health response in Syria and other crisis areas, it is imperative to invest in data collection and utilisation, mHealth and eHealth technologies, capacity building, and robust technical and autonomous leadership.

The health sector is highly digitized, which is enabling the collection of vast quantities of electronic data about health and well-being. These data are collected by a diverse array of information and communication technologies, including systems used by health care organizations, consumer and community sources such as information collected on the web, and passively collected data from technologies such as wearables and devices. Understanding the breadth of IT that collect these data and how it can be actioned is a challenge for the significant portion of the digital health workforce that interact with health data as part of their duties but are not for informatics experts. This viewpoint aims to present a taxonomy categorizing common information and communication technologies that collect electronic data. An initial classification of key information systems collecting electronic health data was undertaken via a rapid review of the literature. Subsequently, a purposeful search of the scholarly and gray literature was undertaken to extract key information about the systems within each category to generate definitions of the systems and describe the strengths and limitations of these systems.

Complex socio-technical health information systems (HIS) issues can create new error risks. Therefore, we evaluated the management of HIS-related errors using the proposed human, organization, process, and technology-fit framework to identify the lessons learned. Qualitative case study methodology through observation, interview, and document analysis was conducted at a 1000-bed Japanese specialist teaching hospital. Effective management of HIS-related errors was attributable to many socio-technical factors including continuous improvement, safety culture, strong management and leadership, effective communication, preventive and corrective mechanisms, an incident reporting system, and closed feedback loops. Enablers of medication errors include system sophistication and process factors like workarounds, variance, clinical workload, slips and mistakes, and miscommunication. The case management effectiveness in handling the HIS-related errors can guide other clinical settings. The potential of HIS to minimize errors can be achieved through continual, systematic, and structured evaluation. The case study validated the applicability of the proposed evaluation framework that can be applied flexibly according to study contexts to inform HIS stakeholders in decision-making. The comprehensive and specific measures of the proposed framework and approach can be a useful guide for evaluating complex HIS-related errors. Leaner and fitter socio-technical components of HIS can yield safer system use.

One of the priorities in family and community care is the epidemiological surveillance of the care needs and dysfunctionality present in populations of highly complex chronic patients (HCCPs) using standardised nursing languages. The aim of this study is to establish the prevalence of care needs and dysfunctionality among HCCPs in a specific health area by municipalities and geographical areas (metropolitan, north, and south) while verifying correlations with sociodemographic, financial, and health characteristics. This is an epidemiological, observational, descriptive, cross-sectional study carried out with a sample of 51,374 HCCPs, whose data were grouped into 31 municipalities. Data were collected on the following variables: sociodemographic, financial, health, functional status (health patterns), and care needs (nursing diagnoses). The mean age of the HCCPs was 73.41 (1.45) years, of which 56.18 (2.86)% were women. The municipalities in the northern area have a significantly higher proportion of older patients, HCCPs, lower incomes, and higher unemployment rates. The southern area had higher proportions of non-Spanish nationals and professionals in the hotel and catering industry, and the metropolitan area had a higher proportion of employed individuals and higher levels of education. Northern municipalities had a higher prevalence of illnesses and anxiolytic and anti-psychotic treatments. Dysfunctionality frequencies did not differ significantly by area. However, a higher prevalence of 13 nursing diagnoses was observed in the north. A high number of correlations were observed between population characteristics, dysfunctionality, and prevalent diagnoses. Finally, the frequencies of dysfunctionality in the population and the most common care needs were mapped by municipality. This research sought to ascertain whether there was an unequal distribution of these two aspects among HCCPs in order to gain a deeper epidemiological understanding of them from a family and community perspective using standardised nursing languages. This study was not registered.