Publications by authors named "Maria Aragon"

This study examines how multilingual caregivers use their linguistic resources to support their autistic children's language development, challenging historical narratives recommending therapists use only one language, English. Using a critical language socialization framework in which multilingualism is considered a practice that transcends linguistic competence, we analyzed 108 videos from five Spanish-dominant, Mexican heritage families. Findings showed that (1) families flexibly used their linguistic resources in daily interactions; (2) home activity settings predicted language use in distinct ways, transportation activities provided fewer constraints for interlocutors to use decontextualized language, language for abstract reasoning and prediction; and (3) variability in maternal scaffolding strategies influenced children's decontextualized language.

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Established life course approaches suggest that health status in adulthood can be influenced by events that occurred during the prenatal developmental period. Yet, interventions such as diet and lifestyle changes performed during pregnancy have had a small impact on both maternal and offspring health outcomes. Currently, there is a growing body of literature that highlights the importance of maternal health before conception (months or years before pregnancy occurs) for the future health of offspring.

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Background: People with serious mental illness are more likely to experience physical illnesses. The onset of many of these illnesses can be prevented if detected early. Physical health screening for people with serious mental illness is incentivised in primary care in England through the Quality and Outcomes Framework (QOF).

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To date there have been no attempts to construct composite measures of healthcare provider performance which reflect preferences for health and non-health benefits, as well as costs. Health and non-health benefits matter to patients, healthcare providers and the general public. We develop a novel provider performance measurement framework that combines health gain, non-health benefit, and cost and illustrate it with an application to 54 English mental health providers.

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Background: People with mental disorders have worse physical health compared with the general population, which could be attributable to receiving poorer quality healthcare.

Aims: To examine the relationship between severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions (ACSCs), and factors associated with increased risk.

Method: Baseline data for England ( = 445 814) were taken from UK Biobank, which recruited participants aged 37-73 years during 2006-2010, and linked to hospital admission records up to 31 December 2019.

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Article Synopsis
  • The study aimed to convert the SIDIAP data system in Catalonia, Spain, to the OMOP Common Data Model and analyze COVID-19 outcomes in the general population.
  • Researchers mapped patient-level data and conducted over 3,400 quality checks, creating a cohort of individuals from March 2020 to June 2022 to assess COVID-19 diagnoses, hospitalizations, ICU admissions, deaths, and vaccinations.
  • The transformed database included 5.9 million individuals, revealing insights about COVID-19 demographics and outcomes, making it a valuable resource for future research in the area.
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  • A study on osteoporosis medication in Europe showed that most patients are older women with hypertension, but many don’t stick with their treatment.
  • The research analyzed patients using various osteoporosis drugs across seven European countries from 2018 to 2022, revealing that persistence with these medications decreases significantly over time.
  • Alendronate was the most commonly prescribed drug, but switching between medications was frequent, particularly within the first six months of treatment.
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Estimates of the association between COVID-19 vaccines and myo-/pericarditis risk vary widely across studies due to scarcity of events, especially in age- and sex-stratified analyses. Population-based cohort study with nested self-controlled risk interval (SCRI) using healthcare data from five European databases. Individuals were followed from 01/01/2020 until end of data availability (31/12/2021 latest).

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Population-based studies can provide important evidence on the safety of COVID-19 vaccines. Here we compare rates of thrombosis and thrombocytopenia following vaccination against SARS-CoV-2 with the background (expected) rates in the general population. In addition, we compare the rates of the same adverse events among persons infected with SARS-CoV-2 with background rates.

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  • The study investigates the potential benefits of alpha-1 blockers, typically used for benign prostatic hyperplasia (BPH), in preventing COVID-19 complications like cytokine storms, but finds insufficient real-world evidence to support this theory.* -
  • Researchers utilized large-scale healthcare databases from Spain and the U.S. to analyze over 2 million users of alpha-1 blockers compared to other BPH medications regarding COVID-19 outcomes, employing advanced techniques to ensure accurate results.* -
  • The findings indicated no significant difference in COVID-19 diagnosis, hospitalization, or severe hospitalization risks between alpha-1 blocker users and those using alternative treatments, suggesting a need for further research into effective COVID-19 therapies.*
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Background: The association between air pollution and green spaces with breast cancer risk stratified by menopausal status has not been frequently investigated despite its importance given the different impact of risk factors on breast cancer risk depending on menopausal status.

Objectives: To study the association between air pollution, green spaces and pre and postmenopausal breast cancer risk.

Methods: We conducted a population-based cohort study using electronic primary care records in Catalonia.

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Background: The evidence is sparse regarding the associations between serious mental illnesses (SMIs) prevalence and environmental factors in adulthood as well as the geographic distribution and variability of these associations. In this study, we evaluated the association between availability and proximity of green and blue space with SMI prevalence in England as a whole and in its major conurbations (Greater London, Birmingham, Liverpool and Manchester, Leeds, and Newcastle).

Methods And Findings: We carried out a retrospective analysis of routinely collected adult population (≥18 years) data at General Practitioner Practice (GPP) level.

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Objective: To investigate how trends in incidence of anxiety and depressive disorders have been affected by the COVID-19 pandemic.

Design: Population-based cohort study.

Setting: Retrospective cohort study from 2018 to 2021 using the Information System for Research in Primary Care (SIDIAP) database in Catalonia, Spain.

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Amelogenesis imperfecta (AI) is a collection of rare genetic disorders affecting the quantity and/or quality of the tooth enamel. AI can be classified into three major types according to the clinical phenotype: hypoplastic, hypocalcified, and hypomatured. Among them, the hypocalcified type shows the weakest physical properties, leaving rough and discolored enamel surfaces after tooth eruption.

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Diagnosis Related Group (DRG) payment systems are a common means of paying for hospital services. They reward greater activity and therefore potentially encourage more rapid treatment. This paper uses 15 years of administrative data to examine the impact of a DRG system introduced in England on hospital lengths of stay.

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Article Synopsis
  • The study aimed to develop COVID-19 prediction models using influenza data to quickly and accurately assess risks of hospital admission and death in patients diagnosed with COVID-19.
  • The researchers created three COVID-19 Estimated Risk (COVER) scores that quantify risks related to pneumonia and mortality based on historical data and validated them using a large dataset of COVID-19 patients across multiple countries.
  • They found that seven key health predictors, along with age and sex, effectively distinguished which patients were likely to face severe outcomes, achieving strong performance in model validation.
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Article Synopsis
  • The ConcePTION project, funded by the Innovative Medicines Initiative in 2019, aims to improve the monitoring and communication of medicine safety for pregnant and breastfeeding women, highlighting the need to quickly address uncertainties regarding medication use in these groups.
  • The project's framework includes the ConcePTION Common Data Model (CDM), designed with structured tables to effectively organize data from various European healthcare sources, enabling more reliable insights.
  • By its first anniversary, the CDM has successfully integrated 13 data sources, allowing for coordinated analytics that can help assess the utilization, effectiveness, and safety of medications in both special populations and the general public.
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The relationship between cancer and coronavirus disease 2019 (COVID-19) infection and severity remains poorly understood. We conducted a population-based cohort study between 1 March and 6 May 2020 describing the associations between cancer and risk of COVID-19 diagnosis, hospitalisation and COVID-19-related death. Data were obtained from the Information System for Research in Primary Care (SIDIAP) database, including primary care electronic health records from ~80% of the population in Catalonia, Spain.

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This study examines a newly introduced DRG system in Indonesia. We use secondary data for 2015 and 2017 from Jaminan Kesehatan Nasional (JKN), a patient level dataset for Indonesia created in 2014 to record public and private hospitals' claims to the national health insurance system to investigate whether there is an association between changes in tariffs paid and the severity of inpatient activity recorded in hospitals. We find a consistent small, positive and statistically significant correlation between changes in tariffs and changes in concentration of activity, indicating discretionary but limited coding behaviour by hospitals.

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Context: A comprehensive understanding of the association between body mass index (BMI) and coronavirus disease 2019 (COVID-19) is still lacking.

Objective: To investigate associations between BMI and risk of COVID-19 diagnosis, hospitalization with COVID-19, and death after a COVID-19 diagnosis or hospitalization (subsequent death), accounting for potential effect modification by age and sex.

Design: Population-based cohort study.

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Article Synopsis
  • The study analyzed the demographics, cancer types, comorbidities, and outcomes of patients with a history of cancer who contracted COVID-19, comparing them to those hospitalized with influenza.
  • A total of 366,050 diagnosed patients and 119,597 hospitalized patients with COVID-19 were included, with prostate and breast cancers being the most common among the diagnosed cohort, and many patients over 65 years old having multiple health issues.
  • The findings revealed a significant occurrence of COVID-19-related deaths among cancer patients, with a range of 2% to 26% depending on hospitalization status, highlighting the need for tailored clinical care for this high-risk group.
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  • The study investigated whether alpha-1 blockers, typically used for treating benign prostate hyperplasia (BPH), can reduce the risk of complications from COVID-19, particularly by blocking cytokine storms.
  • Researchers compared 2.6 million alpha-1 blocker users with 0.46 million users of alternative BPH treatments from electronic health records in Spain and the U.S. between November 2019 and January 2020.
  • The results showed no significant difference in the risks of COVID-19 diagnosis, hospitalization, or need for intensive services between the two groups, highlighting the necessity for additional research on potential therapies for COVID-19.
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Article Synopsis
  • The COVID-19 vulnerability (C-19) index was developed to predict which patients might need hospitalization for pneumonia related to COVID-19 but is at risk of bias and lacks external validation.
  • The study aimed to externally validate the C-19 index using data from various healthcare settings and target populations to determine its predictive capabilities for hospitalization due to pneumonia.
  • Results showed that while the C-19 index performed moderately well in internal validation, its external validation yielded low predictive accuracy across different countries, suggesting that it may underestimate the actual risk of hospitalization.
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