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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study
Published 2025-01-01“…In addition, incorporating wearable device integration and predictive analytics could provide real-time health data, optimizing activity recommendations and health monitoring. …”
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Sangre Por Salud (SPS) Biobank: cohort profile
Published 2025-02-01“…At time of recruitment, hypertension, hyperlipidaemia and depression affected 22%, 20% and 13% of the cohort, respectively.Future plans We plan to regularly update the participants’ electronic health records and self-reported health data to longitudinal research. Additionally, we plan to obtain a more comprehensive genomic analysis on the entire cohort, ensuring greater research interest and investigation into the underlying genetic factors that contribute to disease susceptibility in this cohort.…”
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Cohort profile: the Western Cape Pregnancy Exposure Registry (WCPER)
Published 2022-06-01“…The PER is situated within the Provincial Health Data Centre, an information exchange that harmonises and consolidates all health-related electronic data in the province. …”
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Lifetime history of concussion among children and adolescents with attention-deficit/hyperactivity disorder: examining differences stratified by age, medication status, and parent-...
Published 2025-01-01“…We investigated the association between parent-reported ADHD, ADHD severity, and medication status with parent-reported lifetime concussion history in children and adolescents ranging in age from 5 to 17, sampled from the United States general population.MethodsParent reported health data from 33,914 children and adolescents were selected from the 2021 National Survey of Children’s Health. …”
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Genome-wide association analysis of composite sleep health scores in 413,904 individuals
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Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana
Published 2025-02-01“…Abstract Background Modernization of public health data systems is a national priority. Improved chronic disease surveillance can provide more timely, accurate, and local measures to inform public health policy and intervention. …”
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Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies
Published 2025-03-01“…Objective: To identify and characterize concept coverage gaps of ophthalmology examination data elements within the Cerner Millennium electronic health record (EHR) implementations by the Observational Health Data Sciences and Informatics Observational Medical Outcomes Partnership (OMOP) common data model (CDM). …”
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Penerapan Metode K-Means Clustering dan Simple Moving Average untuk Memprediksi Jenis Penyakit di Provinsi Jawa Timur
Published 2024-08-01“…The K-Means Clustering method divides data into groups based on similar characteristics, making it easier to identify patterns and trends hidden in health data. Simple Moving Average uses the average of past data to smooth out short-term changes and find long-term patterns. …”
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Life after prostate cancer diagnosis: protocol for a UK-wide patient-reported outcomes study
Published 2016-12-01“…The outcome data will be linked with administrative health data (eg, treatment information from hospital data). …”
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Practice patterns among early-career primary care (ECPC) physicians and workforce planning implications: protocol for a mixed methods study
Published 2019-09-01“…We will also analyse linked administrative health data within each province. Mixed methods integration both within the study and as an end-of-study step will inform how practice intentions, choices and patterns are interrelated and inform policy recommendations.Ethics and dissemination This study was approved by the Simon Fraser University Research Ethics Board with harmonised approval from partner institutions. …”
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Acute pain pathways: protocol for a prospective cohort study
Published 2022-07-01“…Participants will be followed for 6 months with the aid of a patient-centred health data aggregating platform that consolidates data from study questionnaires, electronic health record data on healthcare services received, prescription fill data from pharmacies, and activity and sleep data from a Fitbit activity tracker. …”
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Safety of a co-designed cognitive behavioural therapy intervention for people with type 1 diabetes and eating disorders (STEADY): a feasibility randomised controlled trialResearch...
Published 2025-03-01“…Main outcome at 6 months post-randomisation was feasibility. Baseline mental health data (Structured Clinical Interview for DSM-5, SCID-5RV), and secondary biomedical outcomes (HbA1c; glucose time in range; TIR) and person-reported outcome measures (PROM: Diabetes Eating Problems Survey-Revised, DEPS-R; Eating Disorder Examination Questionnaire Short, EDE-QS; Type 1 Diabetes Distress Scale, T1DDS; Generalised Anxiety Disorder Assessment, GAD-7; Patient Health Questionnaire, PHQ-9; Impact of Diabetes Profile, DIDP) were collected. …”
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Correlates of mental health of people living with HIV co-infected with SARS-CoV-2: findings from the COVIDHIV study in France
Published 2025-01-01“…This study aimed to investigate the mental well-being repercussions faced by PLWHA co-infected with SARS-CoV-2 in France.MethodsCOVIDHIV is a French multicenter cohort of PLWHA co-infected with SARS-CoV-2, which collected sociodemographic, clinical, and mental health data. Anxiety and depression symptoms and post-traumatic stress disorder (PTSD) were assessed by the Hospital Anxiety and Depression Scale (HADS) and the PTSD Checklist (PCL-S), respectively. …”
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TAME 2.0: expanding and improving online data science training for environmental health research
Published 2025-02-01“…Though data science training resources are expanding, they are still limited in terms of public accessibility, user friendliness, breadth of content, tangibility through real-world examples, and applicability to the field of environmental health science.MethodsTo fill this gap, we developed an environmental health data science training resource, the inTelligence And Machine lEarning (TAME) Toolkit, version 2.0 (TAME 2.0).ResultsTAME 2.0 is a publicly available website that includes training modules organized into seven chapters. …”
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