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Orna Reges,1,2,* Hagay Weinberg,3,4,* Moshe Hoshen,1,5 Philip Greenland,2 Hana’a Rayyan-Assi,1 Meytal Avgil Tsadok,1 Asaf Bachrach,1 Ran Balicer,1,6 Morton Leibowitz,1 Moti Haim7,8 1Clalit Research Institute, Clalit Health Services, Tel Aviv, Israel; 2Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; 3Internal Medicine Department, Meir Medical Center, Kfar-Saba, Israel; 4Department of Medicine, MidCentral District Health Board, Palmerston-North, New Zealand; 5National Information Systems, Computational Authority, Ministry of Health, Jerusalem, Isarel; 6Department of Epidemiology, Ben-Gurion University of the Negev, Beer-Sheva, Israel; 7Department of Cardiology, Soroka University Medical Center, Beer Sheva, Israel; 8Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel*These authors contributed equally to this workCorrespondence: Orna RegesDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive, Suite 1400, Chicago, IL 60611, USAEmail orna.reges@gmail.comPurpose: Previous studies have demonstrated differences in atrial fibrillation (AF) detection based on data from hospital sources without data from outpatient sources. We investigated the detection of documented diagnoses of non-valvular AF in a large Israeli health-care organization using electronic health record data from multiple sources.Patients and Methods: This was an open-chart validation study. Three distinct algorithms for identifying AF in electronic health records, differing in the source of their International Classification of Diseases, Ninth Revision code and use of the associated free text, were defined. Algorithm 1 incorporated inpatient data with outpatient data and the associated free text. Algorithm 2 incorporated inpatient and outpatient data regardless of the free text associated with AF diagnosis. Algorithm 3 used only inpatient data source. These algorithms were compared to a gold standard and their sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. To establish the gold standard (documentation of arrhythmia based on electrocardiography interpretation or a cardiologist’s written diagnosis), 200 patients at highest risk for having non-valvular AF were randomly selected for open-chart validation by two physicians.Results: The algorithm that included hospital settings, outpatient settings, and incorporated associated free text in the outpatient records had the optimal balance between all validation measures, with a high level of sensitivity (85.4%), specificity (95.0%), PPV (81.4%), and NPV (96.2%). The alternative algorithm that combined inpatient and outpatient data without free text also performed better than the algorithm that included only hospital data (82.9%, 95.0%, 81.0%, and 95.6%, compared to 70.7%, 96.9%, 85.3%, and 92.8%, sensitivity, specificity, PPV, and NPV, respectively).Conclusion: In this study, involving a comprehensive data collection from inpatient and outpatient sources, incorporating outpatient data with inpatient data improved the diagnosis of non-valvular AF compared to inpatient data alone.Keywords: atrial fibrillation, validation, electronic health records

Abstract Background The development and propagation of malaria parasites in their vertebrate host is a complex process in which various host and parasite factors are involved. Sometimes the evolution of parasitaemia seems to be quelled by parasite load. In order to understand the typical dynamics of evolution of parasitaemia, various mathematical models have been developed. The basic premise ingrained in most models is that the availability of uninfected red blood cells (RBC) in which the parasite develops is a limiting factor in the propagation of the parasite population. Presentation of the hypothesis We would like to propose that except in extreme cases of severe malaria, there is no limitation in the supply of uninfected RBC for the increase of parasite population. Testing the hypothesis In this analysis we examine the biological attributes of the parasite-infected RBC such as cytoadherence and rosette formation, and the rheological properties of infected RBC, and evaluate their effects on blood flow and clogging of capillaries. We argue that there should be no restriction in the availability of uninfected RBC in patients. Implication of the hypothesis There is no justification for the insertion of RBC supply as a factor in mathematical models that describe the evolution of parasitaemia in the infected host. Indeed, more recent models, that have not inserted this factor, successfully describe the evolution of parasitaemia in the infected host.

Documentation of primary care teams' involvement in disparity reduction efforts exists, yet little is known about how teams interact or perceive their effectiveness. We investigated how the social network and structural ties among primary-care-clinic team members relate to their perceived team effectiveness (TE), in a large-scale disparity reduction intervention in Israel's largest insurer and provider of services. A mixed-method design of Social Network Analysis and qualitative data collection was employed. 108 interviews with medical, nursing, and administrative teams of 26 clinics and their respective managerial units were performed and information on the organizational ties, analyzing density and centrality, collected. Pearson correlations examined association between network measures and perceived TE. Clinics with strong intra-clinic density and high clinic–subregional-management density were positively correlated with perceived TE. Clinic in-degree centrality was also positively associated with perceived TE. Qualitative analyses support these findings with teamwork emerging as a factor which can impede or facilitate teams' ability to design and implement disparity reduction interventions. The study demonstrates that in an organization-wide disparity reduction initiative, cohesive intra-network structure and close relations with mid-level management increase the likelihood that teams perceive themselves as possessing the skills and resources needed to lead and implement disparity reduction efforts. List of abbreviations Team Effectiveness (TE); Clalit Health Services (Clalit); Social Network Analysis (SNA); Quality Improvement (QI); National Health Care Collaborative (NHPC); Tampa Bay Community Cancer Network (TBCCN) [ABSTRACT FROM AUTHOR]

Background: To support malaria control strategies, prior knowledge of disease risk is necessary. Developing a model to explain the transmission of malaria, in endemic and epidemic regions, is of high priority in developing health system interventions. We develop, fit and validate a non-spatial dynamic model driven by meteorological conditions that can capture seasonal malaria transmission dynamics at the village level in a malaria holoendemic area of north-western Burkina Faso. Methods: A total of 676 children aged 6-59 months took part in this study. Trained interviewers visited children at home weekly from December 2003 to November 2004 for Plasmodium falciparum malaria infection detection. Anopheles daily biting rate, mortality rate and growth rate were evaluated. Digital meteorological stations measured ambient temperature, humidity and rainfall in each site. Results: The overall P. falciparum malaria infection incidence was 1.1 episodes per person year. There was strong seasonal variation in P. falciparum malaria infection incidence with a peak observed in August and September, corresponding to the rainy season and a high number of mosquitoes. The model estimates of monthly mosquito abundance and the incidence of malaria infection correlated well with observed values. The fit was sensitive to daily mosquito survival and daily human parasite clearance. Conclusion: The model has demonstrated potential for local scale seasonal prediction of P. falciparum malaria infection. It could therefore be used to understand malaria transmission dynamics using meteorological parameters as the driving force and to help district health managers in identifying high-risk periods for more focused interventions. [ABSTRACT FROM AUTHOR]

Background: The development and propagation of malaria parasites in their vertebrate host is a complex process in which various host and parasite factors are involved. Sometimes the evolution of parasitaemia seems to be quelled by parasite load. In order to understand the typical dynamics of evolution of parasitaemia, various mathematical models have been developed. The basic premise ingrained in most models is that the availability of uninfected red blood cells (RBC) in which the parasite develops is a limiting factor in the propagation of the parasite population. Presentation of the hypothesis: We would like to propose that except in extreme cases of severe malaria, there is no limitation in the supply of uninfected RBC for the increase of parasite population. Testing the hypothesis: In this analysis we examine the biological attributes of the parasite-infected RBC such as cytoadherence and rosette formation, and the rheological properties of infected RBC, and evaluate their effects on blood flow and clogging of capillaries. We argue that there should be no restriction in the availability of uninfected RBC in patients. Implication of the hypothesis: There is no justification for the insertion of RBC supply as a factor in mathematical models that describe the evolution of parasitaemia in the infected host. Indeed, more recent models, that have not inserted this factor, successfully describe the evolution of parasitaemia in the infected host. [ABSTRACT FROM AUTHOR]

Infection and lockdowns resulting from COVID-19 have been suggested to increase the prevalence and treatment rates of Attention Deficit/Hyperactivity Disorder (ADHD). To accurately estimate the pandemic's effects, pre-pandemic data can be used to estimate diagnosis and treatment rates during the COVID-19 years as if the COVID-19 pandemic did not occur. However, accurate predictions require a broad dataset, both in terms of the number of cases and the pre-pandemic timeframe. In the current study, we modeled monthly ADHD diagnosis and treatment rates over the 18 years preceding the COVID-19 pandemic. The dataset included ∼3 million cases for individuals aged 6 to 18 from the Clalit Health Services' electronic database. Using a trained model, we projected monthly rates for post-lockdown and post-infection periods, enabling us to estimate the expected diagnosis and treatment rates without the COVID-19 pandemic. We then compared these predictions to observed data, stratified by age groups, gender, and socioeconomic status. Our findings suggest no influence of the COVID-19 pandemic on ADHD diagnosis or treatment rates. We show that a narrower timeframe for pre-COVID-19 data points can lead to incorrect conclusions that COVID-19 affected ADHD diagnosis rates. Findings are discussed, given the assumed impact of the COVID-19 pandemic on ADHD., Competing Interests: Declaration of competing interest The authors declare no conflicts or competing interests relevant to this article., (Copyright © 2024. Published by Elsevier B.V.)

Benign transient hyperphosphatasemia is a condition characterized by greatly increased serum alkaline phosphatase (ALP) without laboratory or clinical evidence of underlying bone or liver disease. It is usually identified incidentally during routine blood testing. We describe the demographic and clinical characteristics of benign transient hyperphosphatasemia in a cohort of healthy infants and children. We performed a retrospective review of electronic medical records on all children aged 1 day to 18 years with a diagnosis of benign transient hyperphosphatasemia, who were registered at 3 central districts in Israel from January 1, 2000, to December 31, 2020. The demographic and clinical characteristics were retrieved from the medical files. The study group comprised 382 infants and children aged from 2 months to 14 years who had serum ALP > 1000 U/L (mean 2557 U/L, range 1002-14,589 U/L). The majority of participants (87%) were aged up to 24 months (median age 14 months, IQR 10-18 months). Fifty-four percent of the study participants were male. In many patients, there was a history of recent fever, gastroenteritis or diarrhea, acute otitis media, and viral infection. A seasonal peak was observed in autumn-early winter, but this may be a detection bias., Conclusion: Benign transient hyperphosphatasemia seems to be a disorder described among otherwise healthy infants and children, which resolves spontaneously. Other known causes of markedly elevated serum ALP should be excluded, especially bone and liver disease. Higher awareness and recognition of this benign condition are important in order to avoid unnecessary tests and parental anxiety., What Is Known: • Benign transient hyperphosphatasemia is a benign condition characterized by greatly increased serum alkaline phosphatase without laboratory or clinical evidence of underlying bone or liver disease, which usually resolves spontaneously, with no intervention., What Is New: • In the case of an incidental finding of high serum alkaline phosphatase in an otherwise healthy infant or child with no other clinical or laboratory suspicion of bone or liver disease, we recommend repeating the alkaline phosphatase level within a few months in order to confirm the resolution of this condition. • When benign transient hyperphosphatasemia is suspected, a "wait and see" approach is optimal in order to avoid unnecessary investigations and parental anxiety., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Group A Streptococcus (GAS), the predominant bacterial pathogen of pharyngitis, is sometimes difficult to distinguish clinically from viral pharyngitis. Despite the high prevalence of viral pharyngitis in children, antibiotic treatment is common., Objectives: To investigate the effectiveness of an antibiotic stewardship program (ASP) on antibiotic prescription in children with GAS pharyngitis (GAS-P) at a large pediatric community clinic., Methods: Antibiotic prescription data were collected from October 2016 to March 2017 (pre-intervention period) and from October 2017 to March 2018 (post-intervention period). The intervention was a one-day seminar for primary care pediatricians on the diagnosis and treatment of GAS-P in children according to national guidelines., Results: The overall prevalence of testing differed between the two time periods. There was a decrease in children who did not undergo any testing (from 68% to 63%), an increase in streptococcal rapid antigen detection testing (28% to 32%), and a slight increase in throat cultures (3% to 4%) (P = 0.02). There was no change in the types of antibiotics prescribed before and after the intervention (P = 0.152)., Conclusions: The ASP resulted in a slight reduction in the percentage of children who did not undergo laboratory testing for GAS-P and a slight reduction in the percentage of children who received antibiotic treatment. The ASP did not reduce the use of broad-spectrum antibiotics and macrolides.

Objective: To compare the rate of the administration of the Pfizer-BioNTech COVID-19 vaccinations between adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD) and non-ADHD subjects., Method: A retrospective chart review was performed on all adolescents aged 12-17 years registered at a central district in Israel from January 1 st 2021 to October 31 st 2021., Results: Of the 46,544 subjects included in the study, 8241 (17.7%) were diagnosed with ADHD. Of them, 3% were PCR-COVID-19 positive. Among the patients with ADHD, the older adolescents were more likely to be vaccinated: 48.8% of those aged 12-15 years were vaccinated versus 59.6% of patients aged 16-17 years. The ultra-orthodox Jewish and Arab adolescents in the ADHD group were far less likely to be vaccinated (22.9% and 34.6%, respectively), compared to the adolescents with ADHD in the general population (60.5%). Girls were also somewhat more likely to be vaccinated., Conclusions: Adolescents diagnosed with ADHD had a higher COVID-19 vaccination rate compared to their non-ADHD counterparts. The vaccine uptake was lower amongst Arab and ultra-orthodox Jewish populations.