Internações por condições sensíveis à atenção primária à saúde: associação com a cobertura da atenção primária, 2015 ­ 2021 / Hospitalization for sensitive conditions in primary care: association with primary health care support, 2015-2021 / Hospitalizaciones por afecciones sensibles a la atención primaria: asociación con la cobertura de atención primaria, 2015 ­ 2021

Objetivo: Avaliar as tendências e associações relacionadas as coberturas e internações por condições sensíveis à atenção primária à saúde no município de Fortaleza/Ceará/Brasil, no período de 2015 a 2021. Métodos: Estudo transversal com dados secundários (Sistema de Informações Hospitalares do Sistema Único de Saúde, E- gestor atenção básica e o Instituto Brasileiro de Geografia e Estatística). Utilizou-se o coeficiente de correlação de Pearson para as associações. Resultados: Foram registrados 176.330 internações por condições sensíveis, totalizando 8 principais, correspondendo a 78.5% do total. Obteve-se correlação inversa significativa entre a cobertura de atenção primária e internações por condições sensíveis: r=-0.86, (IC95%: -0.91/-0.61); p<0.001, bem como uma correlação moderada com cobertura de agente comunitário e internações (r=-0.59 (IC95%: -0.68/-0.54); p<0.001) Conclusão: O aumento das internações por condições sensíveis está diretamente relacionado com a cobertura da atenção primária. Além disso, enfrenta-se uma dupla carga de doenças, coexistindo as doenças infecciosas/parasitárias em concomitância com as crônicas.

Objective: To assess trends and associations related to coverage and hospitalizations for conditions sensitive to primary health care in the city of Fortaleza/Ceará/Brazil, from 2015 to 2021. Methods: Cross-sectional study with secondary data (Hospital Information System of the National Unified Health System, E- manager for primary care and the Brazilian Institute of Geography and Statistics). Pearson's correlation coefficient was used to measure associations. Results: 176,330 hospitalizations for sensitive conditions were recorded, totaling 8 main ones, corresponding to 78.5% of the total. A significant inverse correlation was obtained between primary care coverage and hospitalizations for sensitive conditions: r=-0.86, (95%CI: -0.91/-0.61); p<0.001, as well as a moderate correlation with community agent coverage and hospitalizations (r=-0.59 (95%CI: -0.68/-0.54); p<0.001) Conclusion: The increase in hospitalizations for sensitive conditions is directly associated to the primary care coverage. In addition, there is a double burden of disease, with infectious/parasitic diseases coexisting with chronic ones.

Evaluar las tendencias y asociaciones relacionadas con la cobertura y hospitalizaciones por condiciones sensibles a la atención primaria de salud en la ciudad de Fortaleza/Ceará/Brasil de 2015 a 2021. Métodos: Estudio transversal con datos secundarios (Sistema de Informações Hospitalares do Sistema Único de Saúde, E-gestor atenção básica e Instituto Brasileiro de Geografia e Estatística). Se utilizó el coeficiente de correlación de Pearson para las asociaciones. Resultados: Hubo 176.330 hospitalizaciones por condiciones sensibles, totalizando 8 condiciones principales, correspondiendo a 78,5% del total. Se obtuvo una correlación inversa significativa entre la cobertura de atención primaria y las hospitalizaciones por afecciones sensibles: r=- 0,86, (IC 95%: -0,91/-0,61); p<0,001, así como una correlación moderada con la cobertura de agentes comunitarios y las hospitalizaciones (r=-0,59 (IC 95%: -0,68/-0,54); p<0,001) Conclusión: El aumento de las hospitalizaciones por afecciones sensibles está directamente relacionado con la cobertura de atención primaria. Además, se enfrenta a una doble carga de enfermedad, coexistiendo enfermedades infecciosas/parasitarias en concomitancia con enfermedades crónicas.

The limitations of hospital and law enforcement databases in characterizing the epidemiology of firearm injury.

BACKGROUND: Current data on the epidemiology of firearm injury in the United States are incomplete. Common sources include hospital, law enforcement, consumer, and public health databases, but each database has limitations that exclude injury subgroups. By integrating hospital (inpatient and outpatient) and law enforcement databases, we hypothesized that a more accurate depiction of the totality of firearm injury in our region could be achieved. METHODS: We constructed a collaborative firearm injury database consisting of all patients admitted as inpatients to the regional level 1 trauma hospital (inpatient registry), patients treated and released from the emergency department (ED), and subjects encountering local law enforcement as a result of firearm injury in Jefferson County, Kentucky. Injuries recorded from January 1, 2016, to December 31, 2020, were analyzed. Outcomes, demographics, and injury detection rates from individual databases were compared with those of the combined collaborative database and compared using χ2 testing across databases. RESULTS: The inpatient registry (n = 1,441) and ED database (n = 1,109) were combined, resulting in 2,550 incidents in the hospital database. The law enforcement database consisted of 2,665 patient incidents, with 2,008 incidents in common with the hospital database and 657 unique incidents. The merged collaborative database consisted of 3,207 incidents. In comparison with the collaborative database, the inpatient, total hospital (inpatient and ED), and law enforcement databases failed to include 55%, 20%, and 17% of all injuries, respectively. The hospital captured nearly 94% of survivors but less than 40% of nonsurvivors. Law enforcement captured 93% of nonsurvivors but missed 20% of survivors. Mortality (11-26%) and injury incidence were markedly different across the databases. DISCUSSION: The utilization of trauma registry or law enforcement databases alone do not accurately reflect the epidemiology of firearm injury and may misrepresent areas in need of greater injury prevention efforts. LEVEL OF EVIDENCE: Epidemiological, level IV.

Design and Implementation of Hospital Automatic Nursing Management Information System Based on Computer Information Technology.

Clinical nursing work fails to integrate various nursing tasks such as basic care, observation of patients' conditions, medication, treatment, communication, and health guidance to provide continuous and full nursing care for patients. Based on this, this paper uses the Internet of Things (IoT) technology to optimize the infusion process and achieve closed-loop management of medications and improve the efficiency and safety of infusion and medication administration by using a rational and effective outpatient and emergency infusion and medication management system. The system was built by applying wireless network, barcode technology, RFID, infrared tube sensing, and other technologies and was combined with actual nursing work to summarize application techniques and precautions. The application of this system will become a new highlight of medical informatization, improve patient experience, monitor infusion safety, enhance nursing care, reduce emergency medical disputes, improve patient satisfaction, and will create good social and economic benefits for the hospital.

Sensitivity of Guillain-Barre Syndrome Surveillance in the Brazilian Federal District, using the Capture-Recapture Method.

INTRODUCTION: Guillain-Barre Syndrome (GBS) is an acute immune-mediated polyneuropathy that compromises the peripheral and cranial nerves. It is characterized by rapid-onset paresthesia accompanied by progressive weakness in the lower extremities followed by symmetric ascending paralysis. METHODOLOGY: assessment of sensitivity to detect GBS between March 2017 and May 2019 in a public referral hospital, using the capture-recapture method based on the Chapman estimator and comparing three GBS data sources: the hospital-based sentinel surveillance system (VSBH), Human Immunoglobulin Dispensing Records System (RDIH), and Hospital Information System (SIH). RESULTS: A total of 259 possible cases were identified (captured). Of these, 58 were confirmed and most resided in the Federal District. The VSBH showed the greatest sensitivity in case identification. The temporal distribution of cases showed periods with no cases identified, and more were registered during the rainy season from October to May, when high temperatures also occur. CONCLUSIONS: Increased circulation of arboviruses and gastrointestinal infections during the rainy season may explain the greater concentration of GBS cases. It is important to note that one-third of the cases identified in the different data sources do not converge, demonstrating that no single surveillance system is 100% effective. The severity and possible increase in cases related to GBS demonstrates the need for an improved surveillance system capable of monitoring and following-up cases involving neurological syndromes, regardless of the event preceding infection.

Warning system improve the clinical outcomes in transfer patients with ST-segment elevation myocardial infarction.

ABSTRACT: A warning system included directly faxing electrocardiography information to the mobile phone immediately after an ST-segment elevation myocardial infarction (STEMI) diagnosis was made at a non-percutaneous coronary intervention (PCI) capable hospital. This study aimed to explore the outcomes after using a warning system in transfer STEMI patients.From October 2013 to December 2016, 667 patients experienced a STEMI event and received primary PCI at our institution. 274 patients who were divided into transfer group were transferred from non-PCI capable hospitals and connected to a first-line cardiovascular doctor by the warning system. Other 393 patients were divided into the non-transfer group.The transfer group still had a longer pain-to-reperfusion time and presented higher troponin-I level when compared with non-transfer group. There was no significant difference in the use of drug-eluting stent and procedural devices between non-transfer and transfer groups. The prevalence of different anti-platelet agents loading did not differ between non-transfer and transfer groups. Non-significant trend about higher prevalence of statin use was noted in transfer group (78.9% vs 86.1%, P = .058). The transfer group presented similar clinical short-term results regarding both cardiovascular and all-cause mortality when comparing with non-transfer group. The transfer group provided non-significant trend about lower one-year cardiovascular mortality (10.7% vs 6.2%, P = .052) and lower all-cause mortality (12.2% vs 6.9%, P = .026) when compared with non-transfer group. There was a significant difference in the Kaplan-Meier curve of 1-year cardiovascular mortality between the transfer group and the non-transfer group (P = .049).After using the warning system, the inter-facility transfer group had comparable outcomes even though a longer pain-to-reperfusion time and a higher peak troponin-I level when comparing with non-transfer group.

Identifying maternal deaths with the use of hospital data versus death certificates: a retrospective population-based study.

BACKGROUND: Accurate identification of maternal deaths is paramount for audit and policy purposes. Our aim was to determine the accuracy and completeness of data on maternal deaths in hospital and those recorded on a death certificate, and the level of agreement between the 2 data sources. METHODS: We conducted a retrospective population-based study using data for Ontario, Canada, from Apr. 1, 2002, to Dec. 31, 2015. We used Canadian Institute for Health Information (CIHI) databases to identify deaths during inpatient, emergency department and same-day surgery encounters. We captured Vital Statistics deaths in the Office of the Registrar General, Deaths (ORGD) data set. Deaths were considered within 42 days and within 365 days after a pregnancy outcome (live birth, miscarriage, ectopic pregnancy or induced abortion) for all multiple and singleton pregnancies. We calculated agreement statistics and 95% confidence intervals (CIs). RESULTS: Among 1 679 455 live births and stillbirths, 398 pregnancy-related deaths in the ORGD data set were mapped to a birth in CIHI databases, and 77 (16.2%) were not. Among 2 039 849 recognized pregnancies, 534 pregnancy-related deaths in the ORGD data set were linked to CIHI records, and 68 (11.3%) were not. Among live births and stillbirths, after pregnancy-related deaths in the ORGD data set not matched to a maternal death in the CIHI databases were removed, concordance measures between CIHI and ORGD records for maternal death within 42 days after delivery included a κ value of 0.87 (95% CI 0.82-0.91) and positive percent agreement of 0.88 (95% CI 0.83-0.94). The corresponding measures were similar for maternal death within 42 days after the end of a recognized pregnancy. When unlinked pregnancy-related deaths in the ORGD data set were retained, agreement measures declined for death within 42 days after a live birth or stillbirth (κ = 0.68, 95% CI 0.62-0.74). For maternal death within 365 days after a live birth or stillbirth, or after the end of a recognized pregnancy, the concordance statistics were generally favourable when unlinked pregnancy-related deaths in the ORGD data set were removed but were substantially declined when they were retained. INTERPRETATION: Maternal mortality cannot be ascertained solely with the use of hospital data, including beyond 42 days after the end of pregnancy. To improve linkage, we propose including health insurance numbers on provincial and territorial medical death certificates.

Electronic data collection for multi-country, hospital-based, clinical observation of maternal and newborn care: EN-BIRTH study experiences.

BACKGROUND: Observation of care at birth is challenging with multiple, rapid and potentially concurrent events occurring for mother, newborn and placenta. Design of electronic data (E-data) collection needs to account for these challenges. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) was an observational study to assess measurement of indicators for priority maternal and newborn interventions and took place in five hospitals in Bangladesh, Nepal and Tanzania (July 2017-July 2018). E-data tools were required to capture individually-linked, timed observation of care, data extraction from hospital register-records or case-notes, and exit-survey data from women. METHODS: To evaluate this process for EN-BIRTH, we employed a framework organised around five steps for E-data design, data collection and implementation. Using this framework, a mixed methods evaluation synthesised evidence from study documentation, standard operating procedures, stakeholder meetings and design workshops. We undertook focus group discussions with EN-BIRTH researchers to explore experiences from the three different country teams (November-December 2019). Results were organised according to the five a priori steps. RESULTS: In accordance with the five-step framework, we found: 1) Selection of data collection approach and software: user-centred design principles were applied to meet the challenges for observation of rapid, concurrent events around the time of birth with time-stamping. 2) Design of data collection tools and programming: required extensive pilot testing of tools to be user-focused and to include in-built error messages and data quality alerts. 3) Recruitment and training of data collectors: standardised with an interactive training package including pre/post-course assessment. 4) Data collection, quality assurance, and management: real-time quality assessments with a tracking dashboard and double observation/data extraction for a 5% case subset, were incorporated as part of quality assurance. Internet-based synchronisation during data collection posed intermittent challenges. 5) Data management, cleaning and analysis: E-data collection was perceived to improve data quality and reduce time cleaning. CONCLUSIONS: The E-Data system, custom-built for EN-BIRTH, was valued by the site teams, particularly for time-stamped clinical observation of complex multiple simultaneous events at birth, without which the study objectives could not have been met. However before selection of a custom-built E-data tool, the development time, higher training and IT support needs, and connectivity challenges need to be considered against the proposed study or programme's purpose, and currently available E-data tool options.

Câncer Gástrico em Minas Gerais: Estudo sobre o Perfil da Morbimortalidade Hospitalar / Gastric Cancer in Minas Gerais: Study on the Profile of Hospital Morbimortality / Cáncer Gástrico en Minas Gerais: Estudio sobre el Perfil de Morbilidad y Mortalidad Hospitalaria

Introdução: A neoplasia maligna do estômago é o quinto tipo mais incidente de neoplasia e a terceira principal causa de morte por câncer no mundo. É uma patologia grave, geralmente diagnosticada em estágios avançados no Brasil. Objetivo: Analisar, por meio dos registros no Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH-SUS), o perfil das internações por neoplasia maligna do estômago em hospitais conveniados aos setores público e privado no Estado de Minas Gerais de 2007 a 2017. Método: Estudo descritivo, quantitativo, observacional, com dados públicos retrospectivos do SIH-SUS, no período de 1 de janeiro de 2007 a 31 de dezembro de 2017. Os locais de estudo foram as unidades hospitalares que integram o SUS (públicas ou particulares conveniadas). Resultados: Houve semelhança quanto à realidade nacional na maioria dos aspectos analisados, como aumento na taxa de internações e redução das taxas de letalidade hospitalares no decorrer dos anos. A maioria dos atendimentos foi de urgência e em regime privado. O sexo masculino (67,3%) e a faixa etária de pessoas com 60 anos ou mais (60,7%) obtiveram maior incidência. O tempo médio de internação foi 1,4 vezes maior no regime público do que no privado; a letalidade hospitalar foi maior no serviço público (8,9%) em relação ao privado (4,9%) nos atendimentos eletivos. Conclusão: A distribuição dos resultados foi heterogênea entre as Macrorregiões de Saúde, demonstrando que a descentralização de recursos ainda é um grande desafio do sistema de saúde brasileiro

Introduction: Malignant stomach cancer is the fifth most incident type of neoplasm and the third leading cause of death by cancer worldwide. It is a severe pathology, usually diagnosed in advanced stages in Brazil. Objective: Analyze, through the records in the Hospital Information System of the Unified Health System (SIH-SUS), the profile of hospitalizations for malignant neoplasm of the stomach in hospitals affiliated to the public and private sector in the state of Minas Gerais from 2007 to 2017. Method: Descriptive, quantitative, observational, retrospective study with public data from the SIH-SUS, from January 1, 2007 to December 31, 2017. The study sites were the hospital units that are part of the SUS (public or private affiliated). Results: There was similarity regarding the national reality for most of the aspects analyzed, such as an increase in the rate of hospitalizations and reduction in hospital mortality rates over the years. Most of the consultations were urgent and in private hospitals. Higher incidence was found for males (67.3%) and individuals aged 60 years or older (60.7%). The mean time of hospitalization was 1.4 times longer in public compared with private hospitals; hospital lethality was higher in the public service (8.9%) compared with private (4.9%) in elective care. Conclusion: The distribution of results was heterogeneous among the health macro-regions, demonstrating that the decentralization of resources is still a major challenge for the Brazilian health system

Introducción: La neoplasia maligna del estómago es el quinto tipo de cáncer más común y la tercera causa principal de muerte por cáncer en todo el mundo. Es una patología grave, generalmente diagnosticada en etapas avanzadas en Brasil. Objetivo: Analizar, a través de los registros en el Sistema de Información Hospitalaria del Sistema Único de Salud (SIH-SUS), el perfil de hospitalizaciones por neoplasia maligna del estómago en hospitales afiliados al sector público y privado en el estado de Minas Gerais de 2007 a 2017. Método: Estudio descriptivo, cuantitativo, observacional, con datos públicos retrospectivos del SIH-SUS, del 1 de enero de 2007 al 31 de diciembre de 2017. Los sitios de estudio fueron las unidades hospitalarias que forman parte del SUS (acuerdos públicos o privados). Resultados: Hubo similitud con respecto a la realidad nacional en la mayoría de los aspectos analizados, como un aumento en la tasa de hospitalizaciones y una reducción en las tasas de mortalidad hospitalaria a lo largo de los años. La mayoría de las consultas fueron urgentes y privadas. El sexo masculino (67,3%) y el rango etario de las personas de 60 años o más (60,7%) tuvieron una mayor incidencia. La estadía promedio en el hospital fue 1,4 veces más larga en el régimen público que en el privado; mayor letalidad hospitalaria en el servicio público (8,9%) en comparación con el privado (4,9%) en atención electiva. Conclusión: La distribución de los resultados fue heterogénea entre las regiones de macrosalud, lo que demuestra que la descentralización de los recursos sigue siendo un desafío importante para el sistema de salud brasileño

Geographic Distribution of Childhood Cancer in Brazil and the Time between the Diagnosis and the Start of Treatment: An Analysis of Hospital-Based Cancer Registries, 2010-2016

Abstract Objective: To analyze the distribution of childhood cancer in Brazil and the time between the diagnosis and the start of treatment, according to hospital-based cancer registries (2010-2016). Material and Methods: This was an observational descriptive study using secondary data (36,187 records) from hospital databases of the National Cancer Institute (INCA) and the Onco-center Foundation of São Paulo (FOSP). Epidemiological data were obtained, and compliance with Federal Law 12,732/12 was verified, which establishes a maximum period of 60 days to start cancer therapy after the diagnosis. Absolute and percent frequencies, central tendency and dispersion measures, and the coefficient of prevalence of childhood cancer were calculated. Results: The mean age of the pediatric patients was 9.3 years (± 6.2); 54.1% (n=19,586) of them were males; 32.0% (n=11,440) were aged 0 to 4 years; and 43.4% (n=11,338) had a self-reported mixed-race skin color. The Southeast region of Brazil accounted for 40.2% (n=14,564) of the cases, of which 63.0% (n=9,178) corresponded to solid neoplasms, as opposed to the North region, where hematological neoplasms prevailed (53.9%, n=1,535). Most registered patients aged 0 to 19 years were treated in 60 days or less (77%, n=27,929). However, for 24.0% (n = 2,207) of adolescents (15 to 19 years) this time was more than 60 days after the diagnosis. Conclusion: The characteristics related to childhood cancer varied across the Brazilian geographic regions, and most patients were properly treated within the time enforced by law.

Observation Encounters and Length of Stay Benchmarking in Children's Hospitals.

BACKGROUND AND OBJECTIVES: Length of stay (LOS) is a common benchmarking measure for hospital resource use and quality. Observation status (OBS) is considered an outpatient service despite the use of the same facilities as inpatient status (IP) in most children's hospitals, and LOS calculations often exclude OBS stays. Variability in the use of OBS by hospitals may significantly impact calculated LOS. We sought to determine the impact of including OBS in calculating LOS across children's hospitals. METHODS: Retrospective cohort study of hospitalized children (age <19 years) in 2017 from the Pediatric Health Information System (Children's Hospital Association, Lenexa, KS). Normal newborns, transfers, deaths, and hospitals not reporting LOS in hours were excluded. Risk-adjusted geometric mean length of stay (RA-LOS) for IP-only and IP plus OBS was calculated and each hospital was ranked by quintile. RESULTS: In 2017, 45 hospitals and 625 032 hospitalizations met inclusion criteria (IP = 410 731 [65.7%], OBS = 214 301 [34.3%]). Across hospitals, OBS represented 0.0% to 60.3% of total discharges. The RA-LOS (SD) in hours for IP and IP plus OBS was 75.2 (2.6) and 54.3 (2.7), respectively (P < .001). For hospitals reporting OBS, the addition of OBS to IP RA-LOS calculations resulted in a decrease in RA-LOS compared with IP encounters alone. Three-fourths of hospitals changed ≥1 quintile in LOS ranking with the inclusion of OBS. CONCLUSIONS: Children's hospitals exhibit significant variability in the assignment of OBS to hospitalized patients and inclusion of OBS significantly impacts RA-LOS calculations. Careful consideration should be given to the inclusion of OBS when determining RA-LOS for benchmarking, quality and resource use measurements.

Hospital Observation Status and Readmission Rates.

BACKGROUND: In several states, payers penalize hospitals when an inpatient readmission follows an inpatient stay. Observation stays are typically excluded from readmission calculations. Previous studies suggest inconsistent use of observation designations across hospitals. We sought to describe variation in observation stays and examine the impact of inclusion of observation stays on readmission metrics. METHODS: We conducted a retrospective cohort study of hospitalizations at 50 hospitals contributing to the Pediatric Health Information System database from January 1, 2018, to December 31, 2018. We examined prevalence of observation use across hospitals and described changes to inpatient readmission rates with higher observation use. We described 30-day inpatient-only readmission rates and ranked hospitals against peer institutions. Finally, we included observation encounters into the calculation of readmission rates and evaluated hospitals' change in readmission ranking. RESULTS: Most hospitals (n = 44; 88%) used observation status, with high variation in use across hospitals (0%-53%). Readmission rate after index inpatient stay (6.8%) was higher than readmission after an index observation stay (4.4%), and higher observation use by hospital was associated with higher inpatient-only readmission rates. When compared with peers, hospital readmission rank changed with observation inclusion (60% moving at least 1 quintile). CONCLUSIONS: The use of observation status is variable among children's hospitals. Hospitals that more liberally apply observation status perform worse on the current inpatient-to-inpatient readmission metric, and inclusion of observation stays in the calculation of readmission rates significantly affected hospital performance compared with peer institutions. Consideration should be given to include all admission types for readmission rate calculation.

Modeling workflows: Identifying the most predictive features in healthcare operational processes.

Limited resources and increased patient flow highlight the importance of optimizing healthcare operational systems to improve patient care. Accurate prediction of exam volumes, workflow surges and, most notably, patient delay and wait times are known to have significant impact on quality of care and patient satisfaction. The main objective of this work was to investigate the choice of different operational features to achieve (1) more accurate and concise process models and (2) more effective interventions. To exclude process modelling bias, data from four different workflows was considered, including a mix of walk-in, scheduled, and hybrid facilities. A total of 84 features were computed, based on previous literature and our independent work, all derivable from a typical Hospital Information System. The features were categorized by five subgroups: congestion, customer, resource, task and time features. Two models were used in the feature selection process: linear regression and random forest. Independent of workflow and the model used for selection, it was determined that congestion feature sets lead to models most predictive for operational processes, with a smaller number of predictors.

The Contribution of Documentation Systems to How Nurses Understand Older People's Cognitive Function in Hospital.

Nurses are central to the care of older people in hospital. One issue of particular importance to the experience and outcomes of hospitalized older people is their cognitive function. This article reports findings from a focused ethnographic study demonstrating how documentation systems-documents and the social processes surrounding their use-contribute to how nurses come to understand the cognitive function of hospitalized older people. We found that documents contribute to nurses' understanding by serving as a frame of reference, by directing assessments, and by constraining communication. The findings highlight the potential to improve the documents nurses use in hospitals.

[Real-life data and Covid-19: The third avenue of reseach]. / Données de vie réelle et Covid-19 : la troisième voie.

The analysis of real-life data from hospital information systems could make possible to decide on the efficacy and safety of Covid-19 treatments by avoiding the pitfalls of preliminary studies and randomized clinical trials. The different drugs tested in current clinical trials are already widely prescribed to patients by doctors in hospitals, and can therefore be immediately analysed according to validated methodological standards.

Solid organ transplantation in Brazil: a descriptive study of distribution and access inequalities across the Brazilian territory, 2001-2017. / Transplantes de órgãos sólidos no Brasil: estudo descritivo sobre desigualdades na distribuição e acesso no território brasileiro, 2001-2017.

OBJECTIVE: to describe the distribution of solid organ transplants in Brazil, as well as information about the waiting list (demand) and origin of transplant patients by organ type and Federative Unit, from 2001 to 2017. METHODS: this was a descriptive study using data from State Transplantation Centers, the Brazilian Organ Transplant Association, and the Brazilian National Health System Hospital Information System (SIH/SUS). RESULTS: 153 transplant units were identified in 2017, with only 11.8% located in the Northern and Midwest regions; within the study period, 99,805 transplants were performed, ranging from 3,520 (2001) to 8,669 (2017); the highest number of transplants was concentrated in the Southern and Southeastern regions. CONCLUSION: there are inequalities in transplantation access, possibly due to lack of uniformity in service distribution.

Quality and completeness of diagnoses recorded in the new CPRD Aurum Database: evaluation of pulmonary embolism.

PURPOSE: The Clinical Practice Research Datalink (CPRD) now provides a new medical record database, CPRD Aurum. This is the first of several studies being undertaken to assess the quality and completeness of CPRD Aurum data for research endeavors. METHODS: We identified patients with a pulmonary embolism (PE) diagnosis from a random sample of 50 000 patients in CPRD Aurum and compared the diagnoses using data from Hospital Episode Statistics (HES). We calculated the proportion of PE cases recorded in CPRD Aurum who also had a PE diagnosis recorded in HES. We also evaluated completeness by identifying all PE diagnoses in HES and calculating the proportion also present in CPRD Aurum. RESULTS: The study included 781 PE patients: 580 had a PE in CPRD Aurum, 632 had a PE in HES, and 431 had a PE in both. The proportion of patients with anticoagulated PE in CPRD Aurum confirmed by HES was 76.8%. The completeness of primary hospitalized PE HES events compared to CPRD Aurum was 79.1%. In most instances, there was a plausible explanation for the presence of a PE in only one of the two data sources. CONCLUSIONS: The results of this study are reassuring and suggest that the correctness (eg, quality, accuracy) and completeness of diagnosis information in CPRD Aurum are promising with respect to serious acute conditions that require medical attention. Evaluation of other data elements will provide additional insight into this new data resource and its utility for medical research.

Demographics, deaths and severity indicators in hospitalizations due to drug poisoning among children under age five in Brazil. / Demografia, óbitos e indicadores de agravamento nas internações por intoxicações medicamentosas entre menores de 5 anos no Brasil.

INTRODUCTION: In Brazil, drugs are the main causative agents of poisonings, and children under age five are the group with the highest number of cases. The objective of the present study was to describe hospitalizations due to drug poisoning in this population regarding demographics, deaths and worsening indicators in hospitalizations. METHODS: The frequency of hospitalizations for drug poisoning between 2003 and 2012 was verified using data from the Hospital Information System. The study variables were year, gender, age, place of residence and hospitalization, patient follow-up, main diagnosis, secondary diagnosis, nature of the health establishment and amount related to Intensive Care Unit expenses. RESULTS: There were 17,725 hospitalizations due to drug poisoning in children under five, predominantly two-year-old male children. The hospitalizations outside the city of residence occurred in 25% of the cases, with predominance in the Northeastern region. The proportion of deaths in hospitalizations was 0.4%, with a higher number of deaths in the Southeastern region. CONCLUSION: Despite the decrease in the number of hospitalizations in the period, regional disparities remained, which could be attenuated with the provision of specialized attention to drug poisonings in municipalities, expanding the access to a more complex care.

INTRODUÇÃO: No Brasil, os medicamentos são os principais agentes causadores de intoxicação, e o maior número de casos desse problema envolve menores de 5 anos. Assim, o objetivo deste estudo foi descrever as internações por intoxicação medicamentosa nessa população quanto a sua demografia, óbitos e indicadores de agravamento. MÉTODOS: Verificou-se a frequência das internações por intoxicação medicamentosa entre 2003 e 2012, utilizando os dados do Sistema de Informação Hospitalar. As variáveis utilizadas foram ano, sexo, idade, município de residência e de internação, evolução do paciente, diagnóstico principal, diagnóstico secundário, natureza do estabelecimento de saúde e valor referente aos gastos de unidade de terapia intensiva. RESULTADOS: Ocorreram 17.725 internações por intoxicação medicamentosa em menores de 5 anos de idade, com o predomínio do sexo masculino e de crianças de 2 anos. As internações fora do município de residência deram-se em 25% dos casos, com predomínio da Região Nordeste. A proporção de óbitos nas internações foi de 0,4%, com maior número de óbitos na Região Sudeste. CONCLUSÃO: Apesar da diminuição do número de internações no período, permaneceram disparidades regionais que podem ser atenuadas com a oferta de atenção especializada às intoxicações medicamentosas nos municípios, ampliando o acesso a cuidados de maior complexidade.

Technology-facilitated care coordination in rural areas: What is needed?

BACKGROUND: Health is poorer in rural areas and a major challenge is care coordination for complex chronic conditions. The HITECH and 21st Century Cure Acts emphasize health information exchange which underpins activities required to improve care coordination. OBJECTIVE AND METHODS: Using semi-structured interviews and surveys, we examined how providers experience electronic health information exchange during care coordination since these Acts were implemented, with a focus on rural settings where health disparities exist. We used a purposive sample that included primary care, acute care hospitals, and community health services in the United States. FINDINGS: We identified seven themes related to care coordination and information exchange: 'insufficient trust of data'; 'please respond'; 'just fax it'; 'care plans'; 'needle in the haystack'; 're-documentation'; and 'rural reality'. These gaps were magnified when information exchange was required between unaffiliated electronic health records (EHRs) about shared patients, which was more pronounced in rural settings. CONCLUSION: Policy and incentive modifications are likely needed to overcome the observed health information technology (HIT) shortcomings. Rural settings in the United States accentuate problems that can be addressed through international medical informatics policy makers and the implementation and evaluation of interoperable HIT systems.

Monitoring severe acute maternal morbidity across Europe: A feasibility study.

BACKGROUND: Monitoring severe acute maternal morbidity (SAMM) appears essential for optimising care and informing health care policies, especially given changes in obstetric practices and mother profiles. International comparisons can identify areas where improvement is needed, but the comparability of indicators must be evaluated. OBJECTIVE: To assess the feasibility of monitoring SAMM using common definitions from hospital discharge databases across Europe. METHODS: We used hospital discharge data in eight countries (2 826 868 deliveries) to identify women with SAMM among all hospitalisations of women of reproductive age admitted for antenatal or delivery care. Five SAMM indicators were investigated: eclampsia, septicaemia, hysterectomy, hysterectomy associated with a diagnosis of obstetric haemorrhage, and red blood cell (RBC) transfusion associated with a diagnosis of obstetric haemorrhage. Between-country variation was described, by the ratio of the highest to lowest rates, while external validation was assessed by comparing with population-based studies on maternal morbidity. RESULTS: Ratios for hysterectomy and red blood cell (RBC) transfusion in the context of obstetric haemorrhage were 1:2.1 and 1:3.5, respectively. High values of hysterectomy and low values of transfusion were both consistent with high maternal mortality from haemorrhage (France, Italy, Portugal). Ratios across countries were relatively low for eclampsia (1:3.4) but very high for septicaemia (1:22.5). Compared to population-based morbidity estimates, eclampsia was over-reported in hospital databases whereas the two indicators of severe haemorrhage had good external validity. CONCLUSIONS: In association with diagnosis codes indicating obstetric haemorrhage, hysterectomy and RBC transfusion appear to be good candidates for surveillance of maternal morbidity in Europe.

External validation of the unified model of information systems continuance (UMISC): An international comparison.

CONTEXT: The Unified Model of Information Systems Continuance (UMISC) is a metamodel for the evaluation of clinical information systems (CISs) that integrates constructs from five models that have previously been published in the literature. UMISC was developed at the Georges Pompidou University Hospital (HEGP) in Paris and was partially validated at the Saint Joseph Hospital Group (HPSJ), another acute care institution using the same CIS as HEGP. OBJECTIVE: The aim of this replication study was twofold: (1) to perform an external validation of UMISC in two different hospitals and country contexts: the Italian Hospital of Buenos Aires (HIBA) in Argentina and the Hospital Sirio Libanes in Sao Paulo, Brazil (HSL); (2) to compare, using the same evaluation model, the determinants of satisfaction, use, and continuance intention observed at HIBA and HSL with those previously observed at HEGP and HPSJ. METHODS: The UMISC evaluation questionnaires were translated from their original languages (English and French) to Brazilian Portuguese and Spanish following the translation/back-translation method. These questionnaires were then applied at each target site. The 21 UMISC-associated hypotheses were tested using structural equation modeling (SEM). RESULTS: A total of 3020 users, 1079 at HIBA and 1941 at the HSL, were included in the analysis. The respondents included 1406 medical staff and 1001 nursing staff. The average profession-adjusted use, overall satisfaction and continuance intention were significantly higher at HIBA than at HSL in the medical and nursing groups. In SEM analysis, UMISC explained 23% and 11% of the CIS use dimension, 72% and 85% of health professionals' satisfaction, and 41% and 60% of continuance intention at HIBA and HSL, respectively. Twenty of the 21 UMISC-related hypotheses were validated in at least one of the four evaluation sites, and 16 were validated in two or more sites. CONCLUSION: The UMISC evaluation metamodel appears to be a robust comparison and explanatory model of satisfaction, use and continuance intention for CISs in late post adoption situations.