Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health records (EHRs) are an emerging chronic disease surveillance data source and facilitating this data sharing is complex. PROGRAM: Using the experience of the Multi-State EHR-Based Network for Disease Surveillance (MENDS), this article describes implementation of a governance framework that aligns technical, statutory, and organizational requirements to facilitate EHR data sharing for chronic disease surveillance. IMPLEMENTATION: MENDS governance was cocreated with data contributors and health departments representing Texas, New Orleans, Louisiana, Chicago, Washington, and Indiana through engagement from 2020 to 2022. MENDS convened a governance body, executed data-sharing agreements, and developed a master governance document to codify policies and procedures. RESULTS: The MENDS governance committee meets regularly to develop policies and procedures on data use and access, timeliness and quality, validation, representativeness, analytics, security, small cell suppression, software implementation and maintenance, and privacy. Resultant policies are codified in a master governance document. DISCUSSION: The MENDS governance approach resulted in a transparent governance framework that cultivates trust across the network. MENDS's experience highlights the time and resources needed by EHR-based public health surveillance networks to establish effective governance.

Development of a Hypertension Electronic Phenotype for Chronic Disease Surveillance in Electronic Health Records: Key Analytic Decisions and Their Effects.

INTRODUCTION: Modernizing chronic disease surveillance with electronic health record (EHR) data may provide better data to improve hypertension prevention and control, but no consensus exists for an EHR-based surveillance definition for hypertension. The Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot surveillance system was used to develop and test an electronic phenotype for hypertension. METHODS: We used MENDS data from 1,671,279 patients in Louisiana to examine the effect of different analytic decisions on estimates of hypertension prevalence. Decisions included 1) whether to restrict surveillance to patients with recent blood pressure measurements, 2) varying the number and recency of encounters to define the population at risk of hypertension, 3) how to define hypertension (diagnosis codes, antihypertensive medication, blood pressure measurements, or combinations of these), and 4) how to handle multiple blood pressure measurements on the same day. Results were compared with independent estimates of hypertension prevalence in Louisiana from the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: Applying varying criteria resulted in hypertension prevalence estimates ranging from 19.7% to 59.3%. A hypertension surveillance strategy that includes a population with at least 1 clinical encounter with measured blood pressure in the previous 2 years and identifies hypertension using all available data (≥1 diagnosis code, ≥1 antihypertensive medication, and ≥2 elevated blood pressure values ≥140/90 mm Hg on separate days) generated estimates in line with population-based survey data. This definition estimated the crude 2019 hypertension prevalence in the state of Louisiana as 43.4% (age-adjusted, 41.0%), comparable with the crude BRFSS estimate of 39.7% (age adjusted, 37.1%). CONCLUSION: Applying different criteria to define hypertension using EHR data has a large effect on hypertension prevalence estimates. The proposed electronic phenotype generates hypertension prevalence estimates that align with independent estimates from BRFSS.

Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health record (EHR) data can potentially make chronic disease surveillance more timely, actionable, and sustainable. Although use of EHR data can address numerous limitations of traditional surveillance methods, timely surveillance data with broad population coverage require scalable systems. This report describes implementation, challenges, and lessons learned from the Multi-State EHR-Based Network for Disease Surveillance (MENDS) to help inform how others work with EHR data to develop distributed networks for surveillance. PROGRAM: Funded by the Centers for Disease Control and Prevention (CDC), MENDS is a data modernization demonstration project that aims to develop a timely national chronic disease sentinel surveillance system using EHR data. It facilitates partnerships between data contributors (health information exchanges, other data aggregators) and data users (state and local health departments). MENDS uses query and visualization software to track local emerging trends. The program also uses statistical and geospatial methods to generate prevalence estimates of chronic disease risk measures at the national and local levels. Resulting data products are designed to inform public health practice and improve the health of the population. IMPLEMENTATION: MENDS includes 5 partner sites that leverage EHR data from 91 health system and clinic partners and represents approximately 10 million patients across the United States. Key areas of implementation include governance, partnerships, technical infrastructure and support, chronic disease algorithms and validation, weighting and modeling, and workforce education for public health data users. DISCUSSION: MENDS presents a scalable distributed network model for implementing national chronic disease surveillance that leverages EHR data. Priorities as MENDS matures include producing prevalence estimates at various geographic and subpopulation levels, developing enhanced data sharing and interoperability capacity using international data standards, scaling the network to improve coverage nationally and among underrepresented geographic areas and subpopulations, and expanding surveillance of additional chronic disease measures and social determinants of health.

Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model.

The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis (LCA) and grouped states by similarities in socioeconomics, demographics, chronic disease and behavioral risk factor prevalence, health outcomes, and health insurance coverage. Three latent classes of states were identified, which inform the recruitment of additional partner sites in conjunction with additional factors (e.g. partner site capacity and data availability, information technology infrastructure). This methodology can be used to inform other public health surveillance modernization efforts that leverage timely EHR data to address gaps, use existing technology, and advance surveillance.

Diabetes-related-distress and its relationship with glycaemic control among type 2 diabetes mellitus patients attending a specialty clinic in Lagos, Nigeria

Diabetes Mellitus (DM) is a chronic metabolic disease with various complications throughout its course. The presence of emotional burden in diabetes disease, which is referred to as diabetes-related distress (DRD) is common among such patients and may affect their response to treatment. Objectives: To assess the relationship of diabetes-related distress and glycaemic control among patients with Type 2 Diabetes mellitus. Methods: This hospital-based cross-sectional study was conducted at the Family Medicine Department of LASUTH, Ikeja, Lagos. A total of 317 patients with Type 2 Diabetes mellitus were systematically recruited. The data were collected over a four-month period. Important clinical information including clinical characteristics and diabetes-related distress using the diabetes distress scale (DDS-17) was collected. Glycosylated haemoglobin (HbA1c) was also assessed. Results: The degrees of DRD were as follows: 54.9% (None/little), 40.1% (moderate) and 5.0% (severe). The mean HbA1c estimate for all participants was 7.83±1.8%. Among the 317 study participants, 67.2% had poor glycaemic control while 32.8% had good glycaemic control. There was a statistically significant association between DRD and glycaemic control (p< 0.001). Likewise, the various domains of DRD had statistically significant associations with glycaemic control with the exception of physician-related domain. Participants with better glycaemic control reported lower levels of DRD than participants with poorer glycaemic control. Conclusion: There is a high level of diabetes-related distress patients with diabetes mellitus. Good glycaemic control is important in improving or preventing DRD. Therefore, T2DM patients should be screened for DRD during their treatment.

Community-Clinical Linkages: The Effects of the Healthy Here Wellness Referral Center on Chronic Disease Indicators Among Underserved Populations in New Mexico.

The majority of U.S. adults are living with at least one chronic condition, and people of color bear a disproportionate burden of chronic disease. Prior research identifies community-clinical linkages (CCLs) as a strategy for improving health. CCLs traditionally use health care providers to connect patients to community-based self-management programs. The purpose of this study was to examine the effectiveness of a centralized CCL system on health indicators and health disparities. Administrative health data were merged with referral system data to conduct a quasi-experimental comparative time series study with a comparison group of nonreferred patients. Interrupted time-series comparisons within referred patients were also conducted. Of the 2,920 patients meeting inclusion criteria, 972 (33.3%) received a referral during the study period (January 2019-September 2021). Hemoglobin A1c levels, used to diagnose diabetes, declined significantly among referred patients, as did disparities among Hispanic/Latinx participants compared with non-Hispanic White participants. No changes were observed in body mass index (BMI). Blood pressure increased among both referred and nonreferred patients. CCLs with a centralized referral system can effectively reduce markers of diabetes and may contribute to the maintenance of BMI. The observed increase in blood pressure may have been affected by the COVID-19 pandemic and warrants further study. Practitioners can work with community partners to implement a centralized CCL model, either on its own or to enhance existing clinician or community health worker-based models.

[Construction and application of comprehensive system of chronic diseases surveillance in Zhejiang province].

To construct a non-communicable disease system recommended by WHO, develop the key techniques and promote their applications, obtain the main health indicators and understand the prevalence of chronic diseases, and provide support for the prevention, control and research of chronic diseases. Based on factor analysis, K-means clustering and multi-cluster random sampling, 30 typical sampling areas at provincial level were designed and constructed; By referring to WHO's Non-communicable Disease Surveillance Framework and the American behavioral risk factor sampling and questionnaire and combined with China's actual needs, a comprehensive surveillance system for chronic diseases, covering morbidity and mortality, risk factor exposure and community management and control of chronic diseases, was established, a "5+12+1" quality control system for surveillance data collection, management, analysis and feedback was formed and a three-level surveillance information management platform and information technology construction standards in the province were established, resulting the integration of life registration, chronic disease case reporting and community chronic disease management. Using these key techniques, we have obtained high-quality surveillance data of the whole province, produced the main health indicators, carried out research of chronic diseases, and analyze the prevalence and changing trend of the main chronic diseases and related risk factors to boost the government's practical projects for the reform of the people's livelihood and facilitate the construction of "Healthy Zhejiang". The successful experiences and key techniques have been applied in the construction of chronic disease surveillance system in some provinces in China.

Autonomía y dignidad en personas que viven con hemofilia / Autonomy and dignity in people living with hemophilia

INTRODUCCIÓN. La hemofilia es una condición rara hereditaria, crónica, potencialmente discapacitante e incapacitante, caracterizada por frecuentes sangrados debidos al déficit del factor VIII coagulante, Hemofilia A o del factor IX Hemofilia B. Las evaluaciones de calidad de vida en personas con hemofilia, basadas principalmente en el aspecto biológico, llevaron a considerar un importante enfoque bioético que evalúe la afectación de la autonomía y dignidad debida a la enfermedad. OBJETIVO. Registrar la percepción de la autonomía y dignidad de personas que viven con hemofilia. MATERIALES Y MÉTODOS. Estudio descriptivo transversal. Población de 92 y muestra de 28 varones mayores de 18 años con diagnóstico de hemofilia, atendidos en la Clínica de Coagulopatías Congénitas del Hospital de Especialidades Carlos Andrade Marín en el periodo marzo 2021 a agosto del 2021. Se excluyó a varones menores de 18 años atendidos en otras instituciones del Sistema Nacional de Salud. Estudio basado en el desarrollo de las capacidades centrales descritas por Martha Nussbaum. Se aplicó el test The Hemophilia Well Being Index que evaluó calidad de vida con relación al bienestar personal asociado a salud, y la herramienta Body Mapping que analizó en base al interpretativismo fenomenológico. RESULTADOS. El 100% de personas presentaron afectación en algún área de la vida investigada por el Hemophilia Well Being Index, que se confirma con las expresiones escritas y gráficas recopiladas por el Body Mapping. CONCLUSIÓN. La autonomía y dignidad se encuentran afectadas en las personas que viven con hemofilia, al igual que las capacidades centrales; es importante valorar cómo estos parámetros afectan la consecución de logros, lo que se debe considerar en estudios futuros.

INTRODUCTION. Hemophilia is a rare hereditary, chronic, potentially disabling and incapacitating condition, characterized by frequent bleeds due to deficiency of clotting factor VIII, Hemophilia A or factor IX Hemophilia B. Quality of life assessments in people with hemophilia, mainly based on the biological aspect, led to consider an important bioethical approach that evaluates the impairment of autonomy and dignity due to the disease. OBJECTIVE. To record the perception of autonomy and dignity of people living with hemophilia. MATERIALS AND METHODS. Cross-sectional descriptive study. Population of 92 and sample of 28 males over 18 years of age with a diagnosis of hemophilia, attended at the Congenital Coagulopathy Clinic of the Carlos Andrade Marin Specialty Hospital in the period March 2021 to August 2021. Males under 18 years of age attended in other institutions of the National Health System were excluded. The study was based on the development of the central capabilities described by Martha Nussbaum. The test The Hemophilia Well Being Index was applied, which evaluated quality of life in relation to personal wellbeing associated with health, and the tool Body Mapping which analyzed based on phenomenological interpretivism. RESULTS. 100% of people presented affectation in some area of life investigated by the Hemophilia Well Being Index, which is confirmed by the written and graphic expressions collected by the Body Mapping. CONCLUSION. Autonomy and dignity are affected in people living with hemophilia, as are core capacities; it is important to assess how these parameters affect achievement, which should be considered in future studies.

Control charts for chronic disease surveillance: testing algorithm sensitivity to changes in data coding.

BACKGROUND: Algorithms used to identify disease cases in administrative health data may be sensitive to changes in the data over time. Control charts can be used to assess how variations in administrative health data impact the stability of estimated trends in incidence and prevalence for administrative data algorithms. We compared the stability of incidence and prevalence trends for multiple juvenile diabetes algorithms using observed-expected control charts. METHODS: Eighteen validated algorithms for juvenile diabetes were applied to administrative health data from Manitoba, Canada between 1975 and 2018. Trends in disease incidence and prevalence for each algorithm were modelled using negative binomial regression and generalized estimating equations; model-predicted case counts were plotted against observed counts. Control limits were set as predicted case count ±0.8*standard deviation. Differences in the frequency of out-of-control observations for each algorithm were assessed using McNemar's test with Holm-Bonferroni adjustment. RESULTS: The proportion of out-of-control observations for incidence and prevalence ranged from 0.57 to 0.76 and 0.45 to 0.83, respectively. McNemar's test revealed no difference in the frequency of out-of-control observations across algorithms. A sensitivity analysis with relaxed control limits (2*standard deviation) detected fewer out-of-control years (incidence 0.19 to 0.33; prevalence 0.07 to 0.52), but differences in stability across some algorithms for prevalence. CONCLUSIONS: Our study using control charts to compare stability of trends in incidence and prevalence for juvenile diabetes algorithms found no differences for disease incidence. Differences were observed between select algorithms for disease prevalence when using wider control limits.

Potential role of MALT1 as a candidate biomarker of disease surveillance and treatment response prediction in inflammatory bowel disease patients.

BACKGROUND: Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) regulates adaptive and innate immune responses in several inflammatory disease. However, clinical involvement of MALT1 in inflammatory bowel disease (IBD) patients remains unclear. Hence, this study was intended to investigate the correlation of blood MALT1 with disease activity, inflammation indexes as well as treatment response of IBD patients. METHODS: Blood MALT1 expression in 100 IBD patients [including 25 active (A)-Crohn's disease (CD) patients, 25 remission (R)-CD patients, 25 A-ulcerative colitis (UC) patients, and 25 R-UC patients] and 25 health controls (HCs) was detected by reverse transcription-quantitative polymerase chain reaction; besides, serum tumor necrosis factor-alpha (TNF-α) and interleukin-17A (IL-17A) in IBD patients were detected by enzyme-linked immunosorbent assay. RESULTS: MALT1 was increased in A-UC patients than in R-UC patients (p = 0.038) and in HCs (p < 0.001), and also elevated in A-CD patients than in R-CD patients (p = 0.048) and in HCs (p < 0.001). MALT1 was positively related to C-reactive protein (CRP, p = 0.011), TNF-α (p = 0.036), IL-17A (p = 0.023), and Mayo score (p = 0.005) in A-UC patients, CRP (p = 0.017), erythrocyte sedimentation rate (p = 0.033), TNF-α (p = 0.004), and Crohn's disease activity index score (p = 0.028) in A-CD patients. But MALT1 was not correlated with either inflammation indexes or disease activity score in R-UC and R-CD patients. MALT1 gradually declined from baseline to W12 in A-UC and A-CD patients (both p < 0.001). Moreover, MALT1 at W4 (p = 0.031) and W12 (p = 0.003) in A-UC patients as well as MALT1 at W12 (p = 0.008) in A-CD patients associated with clinical response. CONCLUSION: MALT1 serves as a potential biomarker for disease surveillance and treatment response prediction of IBD patients.

Estratégias para enfrentamento da mortalidade precoce por doenças crônicas não transmissíveis / Strategies for coping with early mortality from non-communicable chronic diseases

As Doenças Crônicas Não Transmissíveis (DCNTs) tendem a ser de longa duração e são o resultado de uma combinação de fatores genéticos, fisiológicos, ambientais e comportamentais. Tais agravos matam 41 milhões de pessoas a cada ano, o equivalente a 74% de todas as mortes no mundo, principalmente mortes prematuras, além de acarretar a perda de qualidade de vida, limitações e incapacidades, constituindo a maior carga de morbimortalidade. Sendo assim, esta síntese de evidências traz alguns pontos do Plano de Ações Estratégicas para o Enfrentamento das Doenças Não Transmissíveis no Brasil (2011-2022), que tem o intuito de reduzir a carga de DCNTs e evitar mortes prematuras, além de promover o desenvolvimento e a implementação de políticas públicas efetivas, integradas, sustentáveis e baseadas em evidências para a prevenção e o controle das DCNTs e seus fatores de risco e fortalecer os serviços de saúde voltados às doenças crônicas

Chronic Noncommunicable Diseases (NCDs) tend to be of long duration and are the result of a combination of genetic, physiological, environmental and behavioral factors. Such diseases kill 41 million people each year, equivalent to 74% of all deaths in the world, mainly premature deaths, in addition to causing a loss of quality of life, limitations and disabilities, constituting the highest burden of morbidity and mortality. Therefore, this synthesis of evidence presents some points of the Strategic Action Plan for Combating Noncommunicable Diseases in Brazil (2011-2022), which aims to reduce the burden of NCDs and prevent premature deaths, in addition to promoting the development and the implementation of effective, integrated, sustainable and evidence-based public policies for the prevention and control of CNCDs and their risk factors and to strengthen health services aimed at chronic diseases

Neighborhood-Level Chronic Disease Surveillance: Utility of Primary Care Electronic Health Records and Emergency Department Claims Data.

CONTEXT: Disease burden may vary substantively across neighborhoods in an urban setting. Yet, data available for monitoring chronic conditions at the neighborhood level are scarce. Large health care data sets have potential to complement population health surveillance. Few studies have examined the utility of health care data for neighborhood-level surveillance. OBJECTIVE: We examined the use of primary care electronic health records (EHRs) and emergency department (ED) claims for identifying neighborhoods with higher chronic disease burden and neighborhood-level prevalence estimation. DESIGN: Comparison of hypertension and diabetes estimates from EHRs and ED claims with survey-based estimates. SETTING: Forty-two United Hospital Fund neighborhoods in New York City. PARTICIPANTS: The EHR sample comprised 708 452 patients from the Hub Population Health System (the Hub) in 2015, and the ED claim sample comprised 1 567 870 patients from the Statewide Planning and Research Cooperative System in 2015. We derived survey-based estimates from 2012 to 2016 Community Health Survey (n = 44 189). MAIN OUTCOME MEASURE: We calculated hypertension and diabetes prevalence estimates by neighborhood from each data source. We obtained Pearson correlation and absolute difference between EHR-based or claims-based estimates and survey-based estimates. RESULTS: Both EHR-based and claims-based estimates correlated strongly with survey-based estimates for hypertension (0.91 and 0.72, respectively) and diabetes (0.83 and 0.82, respectively) and identified similar neighborhoods of higher burden. For hypertension, 10 and 17 neighborhoods from the EHRs and ED claims, respectively, had an absolute difference of more than 5 percentage points from the survey-based estimate. For diabetes, 15 and 4 neighborhoods from the EHRs and ED claims, respectively, differed from the survey-based estimate by more than 5 percentage points. CONCLUSIONS: Both EHRs and ED claims data are useful for identifying neighborhoods with greater disease burden and have potential for monitoring chronic conditions at the neighborhood level.

Mortality from chronic respiratory disease in Brazil: time trend and forecasts / Mortalidade por doença respiratória crônica no Brasil: tendência temporal e projeções

ABSTRACT OBJECTIVE To analyze the time trend of monthly mortality rates from chronic respiratory diseases in Brazil from 1996 to 2017, with forecasts for 2022, besides analyzing the possibility of achieving the goal of the Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil (Strategic Action Plan to Tackle Chronic Noncommunicable Diseases in Brazil) from 2011 to 2022. METHODS This is an ecological study that uses data from Sistema de Informações sobre Mortalidade (SIM - Mortality Information System), Sistema de Informações Demográficas e Socioeconômicas (Demographic and Socioeconomic Information System) and Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD Contínua - Continuous National Household Sample Survey). We established the age range between 30 and 69 years old and the evolution of the rates over time was made by autoregressive integrated moving average models in R statistical tool. RESULTS Premature mortality rates from chronic respiratory diseases are decreasing in Brazil as a whole, mostly in state capitals. There is also a trend to reach the Ministry of Health's goal in most of the country. For capitals that tend not to reach the goal, there is an association between mortality and social indicators, healthcare network and frequency of smoking. CONCLUSION This study intends to improve planning of the public health system for the control of chronic respiratory diseases.

RESUMO OBJETIVO Analisar a tendência temporal das taxas mensais de mortalidade por doenças respiratórias crônicas no Brasil de 1996 até 2017, com projeções para 2022, além de analisar a possibilidade de cumprimento da meta do Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil de 2011 até 2022. MÉTODOS Trata-se de estudo ecológico que utiliza dados do Sistema de Informações sobre Mortalidade, do Sistema de Informações Demográficas e Socioeconômicas e da Pesquisa Nacional por Amostra de Domicílios Contínua. O recorte etário foi estabelecido entre 30 e 69 anos e a evolução das taxas no tempo foi feita por meio de modelos autorregressivos integrados de média móvel em plataforma estatística R. RESULTADOS As taxas de mortalidade precoce por doenças respiratórias crônicas apresentam-se decrescentes no Brasil como um todo e na maior parte das capitais, assim como, há tendência a atingir a meta do Ministério da Saúde na maior parte do país. Para capitais que tendem a não atingir a meta, verifica-se associação entre mortalidade e indicadores sociais, rede assistencial de saúde e frequência do tabagismo. CONCLUSÃO Pretende-se que o estudo possibilite um melhor planejamento do sistema público de saúde para o controle das doenças respiratórias crônicas.

Impact of COVID-19 on routine malaria indicators in rural Uganda: an interrupted time series analysis.

BACKGROUND: In March 2020, the government of Uganda implemented a strict lockdown policy in response to the COVID-19 pandemic. Interrupted time series analysis (ITSA) was performed to assess whether major changes in outpatient attendance, malaria burden, and case management occurred after the onset of the COVID-19 epidemic in rural Uganda. METHODS: Individual level data from all outpatient visits collected from April 2017 to March 2021 at 17 facilities were analysed. Outcomes included total outpatient visits, malaria cases, non-malarial visits, proportion of patients with suspected malaria, proportion of patients tested using rapid diagnostic tests (RDTs), and proportion of malaria cases prescribed artemether-lumefantrine (AL). Poisson regression with generalized estimating equations and fractional regression was used to model count and proportion outcomes, respectively. Pre-COVID trends (April 2017-March 2020) were used to predict the'expected' trend in the absence of COVID-19 introduction. Effects of COVID-19 were estimated over two six-month COVID-19 time periods (April 2020-September 2020 and October 2020-March 2021) by dividing observed values by expected values, and expressed as ratios. RESULTS: A total of 1,442,737 outpatient visits were recorded. Malaria was suspected in 55.3% of visits and 98.8% of these had a malaria diagnostic test performed. ITSA showed no differences between observed and expected total outpatient visits, malaria cases, non-malarial visits, or proportion of visits with suspected malaria after COVID-19 onset. However, in the second six months of the COVID-19 time period, there was a smaller mean proportion of patients tested with RDTs compared to expected (relative prevalence ratio (RPR) = 0.87, CI (0.78-0.97)) and a smaller mean proportion of malaria cases prescribed AL (RPR = 0.94, CI (0.90-0.99)). CONCLUSIONS: In the first year after the COVID-19 pandemic arrived in Uganda, there were no major effects on malaria disease burden and indicators of case management at these 17 rural health facilities, except for a modest decrease in the proportion of RDTs used for malaria diagnosis and the mean proportion of malaria cases prescribed AL in the second half of the COVID-19 pandemic year. Continued surveillance will be essential to monitor for changes in trends in malaria indicators so that Uganda can quickly and flexibly respond to challenges imposed by COVID-19.

Chronic disease surveillance in Alberta's tomorrow project using administrative health data.

INTRODUCTION: Alberta's Tomorrow Project (ATP) is the largest population-based prospective cohort study of cancer and chronic diseases in Alberta, Canada. The ATP cohort data were primarily self-reported by participants on lifestyle behaviors and disease risk factors at the enrollment, which lacks sufficient and accurate data on chronic disease diagnosis for longer-term follow-up. OBJECTIVES: To characterize the occurrence rate and trend of chronic diseases in the ATP cohort by linking with administrative healthcare data. METHODS: A set of validated algorithms using ICD codes were applied to Alberta Health (AH) administrative data (October 2000-March 2018) linked to the ATP cohort to determine the prevalence and incidence of common chronic diseases. RESULTS: There were 52,770 ATP participants (51.2±9.4 years old at enrollment and 63.7% females) linked to the AH data with average follow-up of 10.1±4.4 years. In the ATP cohort, hypertension (18.5%), depression (18.1%), chronic pain (12.8%), osteoarthritis (10.1%) and cardiovascular diseases (8.7%) were the most prevalent chronic conditions. The incidence rates varied across diseases, with the highest rates for hypertension (22.1 per 1000 person-year), osteoarthritis (16.2 per 1000 person-year) and ischemic heart diseases (13.0 per 1000 person-year). All chronic conditions had increased prevalence over time (p < for trend tests), while incidence rates were relatively stable. The proportion of participants with two or more of these conditions (multi-morbidity) increased from 3.9% in 2001 to 40.3% in 2017. CONCLUSIONS: This study shows an increasing trend of chronic diseases in the ATP cohort, particularly related to cardiovascular diseases and multi-morbidity. Using administrative health data to monitor chronic diseases for large population-based prospective cohort studies is feasible in Alberta, and our approach could be further applied in a broader research area, including health services research, to enhance research capacity of these population-based studies in Canada.

Current treatment and surveillance modalities are not sufficient for advanced stage III colon cancer: Result from a multicenter cohort analysis.

OBJECTIVE: We conducted this multicenter cohort study to evaluate the current tumor-node-metastasis staging system and treatment modality by analyzing the survival outcomes of patient groups with stage III and IV colon cancer. PATIENTS AND METHODS: Stage III and IV colon cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database (SEER cohort) and prospectively maintained Sun Yat-sen University (SYSU) cohort were included in this study. Kaplan-Meier method was used to estimate the cumulative rate of overall survival (OS) between patient groups, and the inverse probability weighting method was used to calculated age and sex-adjusted survival curves. The Cox regression model was used to identify the risk factors for OS. RESULTS: A total of 17,911 and 1135 stage III-IV cases were included in the SEER and SYSU cohorts, respectively. Among them, 1448 and 124 resectable stage IV cases underwent curative-intent treatment in the SEER and SYSU cohorts, respectively. The T4N2b group showed a significantly worse survival outcome compared with the M1a subset receiving curative-intent treatment (HR, 1.46; p < 0.001). This finding was validated in the SYSU cohort, in which the T4N2 group had a worse outcome than that of the M1 group receiving curative-intent treatment (HR, 2.44; p < 0.001). These findings were confirmed in the adjusted survival analysis. In the multivariate analysis, the right-side tumor, poor-undifferentiated tumor, and age over 60 years were identified as independent risk factors for T4N2b patients. Based on this multivariate model, the high-risk T4N2b subgroup had a worse survival outcome compared with resectable M1b patients (HR, 1.24; p = 0.03). CONCLUSION: By comparing stage III with stage IV colon cancer patients, we identified a subgroup of stage III patients at a higher risk of death than more advanced stages, implying that current cancer care modalities are not sufficient for these high-risk substages.

Population coverage of the Canadian Chronic Disease Surveillance System: a survey of the contents of health insurance registries across Canada. / Couverture de la population dans le Système canadien de surveillance des maladies chroniques : enquête sur le contenu des registres d'assurance-maladie au Canada.

INTRODUCTION: Health insurance registries, which capture insurance coverage and demographic information for entire populations, are a critical component of population health surveillance and research when using administrative data. Lack of standardization of registry information across Canada's provinces and territories could affect the comparability of surveillance measures. We assessed the contents of health insurance registries across Canada to describe the populations covered and document registry similarities and differences. METHODS: A survey about the data and population identifiers in health insurance registries was developed by the study team and representatives from the Public Health Agency of Canada. The survey was completed by key informants from most provinces and territories and then descriptively analyzed. RESULTS: Responses were received from all provinces; partial responses were received from the Northwest Territories. Demographic information in health insurance registries, such as primary address, date of birth and sex, were captured in all jurisdictions. Data captured on familial relationships, ethnicity and socioeconomic status varied among jurisdictions, as did start and end dates of coverage and frequency of registry updates. Identifiers for specific populations, such as First Nations individuals, were captured in some, but not all jurisdictions. CONCLUSION: Health insurance registries are a rich source of information about the insured populations of the provinces and territories. However, data heterogeneity may affect who is included and excluded in population surveillance estimates produced using administrative health data. Development of a harmonized data framework could support timely and comparable population health research and surveillance results from multi-jurisdiction studies.

Adherence to antihypertensive medications among adult hypertensive patients attending chronic follow-up units of Dessie Referral Hospital, Northeastern Ethiopia: A cross-sectional study.

ABSTRACT: Hypertension is the leading cause of increased morbidity and mortality rates worldwide. Despite adherence to therapies is the important determinant of treatment success to reduce apparent resistant hypertension, maintaining good adherence to antihypertensive medications remained the most serious challenge. Thus, this study aimed to assess adherence to antihypertensive medications among adult hypertensive patients in Dessie Referral Hospital.A cross-sectional study design was conducted among hypertensive patients during May and June 2020. The study participants were selected using a systematic random sampling technique. The collected data were entered into EpiData version 4.4 and exported to SPSS version 25.0 software for data cleaning and analysis. Data were analyzed using bivariable and multivariable logistic regression at a 95% confidence interval (CI). A variable that has a P-value < .05 was declared as statistically significant. Hosmer-Lemeshow test was used to test goodness-of-fit and multicollinearity was tested.The overall good adherence to antihypertensive medications was 51.9%; 95% CI: (46.8-58.3%) and poor adherence was 48.1%. Factors associated with good adherence were: sex-female adjusted odd ratio (AOR) = 1.31; 95% CI (1.06-2.52), occupational status-employed AOR = 2.24; 95% CI (1.33-3.72), good knowledge of the disease AOR = 2.20; 95% CI (1.34-3.72) and good self-efficacy AOR = 1.38; 95% CI (1.20-2.13).This study revealed that almost half of the hypertensive patients in Dessie Referral Hospital had good antihypertensive medication adherence. Sex, occupational status, knowledge, and self-efficacy were factors associated with good adherence. Therefore, health education should be given to patients on the importance of complying with medication and patients should be monitored by health extension workers.

Prevalence of clinical malaria and household characteristics of patients in tribal districts of Pakistan.

BACKGROUND: Malaria, disproportionately affects poor people more than any other disease of public health concern in developing countries. In resource-constrained environments, monitoring the occurrence of malaria is essential for the success of national malaria control programs. Militancy and military conflicts have been a major challenge in monitoring the incidence and controlling malaria and other emerging infectious diseases. The conflicts and instability in Afghanistan have resulted in the migration of refugees into the war-torn tribal districts of Pakistan's Khyber Pakhtunkhwa (KPK) province and the possible introduction of many contagious epidemics. Although malaria is very common in all tribal districts, molecular, clinical and epidemiological data are scarce in these high-burden districts. Therefore, for the proper surveillance, detection, and control of malaria, obtaining and analyzing reliable data in these districts is essential. METHODOLOGY/PRINCIPAL FINDINGS: All 1,127 malaria-suspected patients were sampled within the transmission season in the tribal districts of KPK province between March 2016 to December 2018. After a detailed demographic and clinical investigation of malaria-suspected patients, the data were recorded. The data of the control group was collected simultaneously at the same site. They were considered as uncomplicated cases for statistical analyses. Blood samples were collected from malaria-suspected patients for the detection of Plasmodium species using microscopy and nested PCR (nPCR). Microscopy and nPCR examination detected 78% (n = 882) and 38% (n = 429) Plasmodium-positive patients, respectively. Among1,127 of 429nPCR detected cases with both species of malaria, the frequency of complications was as follows: anemia (n = 71; 16.5%), decompensated shock (n = 40; 9%), hyperpyrexia (n = 117; 27%), hyperparasitaemia (n = 49; 11%) hypoglycemia (n = 45; 10.5%), jaundice (n = 54; 13%), multiple convulsions (n = 37; 9%), and petechia (n = 16; 4%). We observed that 37% (n = 157 out of 429) of those patients infected by both Plasmodium species were children between the ages of 1 and 15 years old. The results revealed that Bajaur (24%), Kurram (20%), and Khyber (18%) districtshada higher proportion of P. vivax than P. falciparum cases. Most of the malaria cases were males (74%). Patients infected by both Plasmodium species tended to less commonly have received formal education and ownership of wealth indicators (e.g., fridge, TV set) was lower. CONCLUSIONS/SIGNIFICANCE: Malaria in tribal districts of the KPK province largely affects young males. P. vivax is a major contributor to the spread of malaria in the area, including severe malaria. We observed a high prevalence of P. vivax in the Bajaur district. Children were the susceptible population to malaria infections whereas they were the least expected to use satisfactory prevention strategies. A higher level of education, a possession of TV sets, the use of bed nets, the use of repellent fluids, and fridges were all associated with protection from malaria. An increased investment in socio-economic development, a strong health infrastructure, and malaria education are key interventions to reduce malaria in the tribal districts.

Findings from the initial Stepwise Approach to Rabies Elimination (SARE) Assessment in China, 2019.

In 2015, China and other member states of the United Nations adopted the goal of eliminating dog-mediated rabies by 2030. China has made substantial progress in reducing dog-mediated human rabies since peaking with more than 3,300 reported cases in 2007. To further improve coordination and planning, the Chinese Center for Disease Control and Prevention, in collaboration with the United States Centers for Disease Control and Prevention, conducted a Stepwise Approach towards Rabies Elimination (SARE) assessment in March 2019. Assessment goals included outlining progress and identifying activities critical for eliminating dog-mediated rabies. Participants representing national, provincial and local human and animal health sectors in China used the SARE assessment tool to answer 115 questions about the current dog-mediated rabies control and prevention programs in China. The established surveillance system for human rabies cases and availability of post-exposure prophylaxis were identified as strengths. Low dog vaccination coverage and limited laboratory confirmation of rabid dogs were identified gaps, resulting in an overall score of 1.5 on a scale of 0 to 5. Participants outlined steps to increase cross-sectoral information sharing, improve surveillance for dog rabies, increase dog vaccination coverage, and increase laboratory capacity to diagnose rabies at the provincial level. All assessment participants committed to strengthening cross-sector collaboration using a One Health approach to achieve dog-mediated human rabies elimination by 2030.