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Machine learning models for atrial fibrillation detection in primary care using electronic health records: systematic review [Cardiovascular disease]

Annals of Family Medicine

Machine learning (ML) models offer potential for improved detection of AFib from electronic health records (EHR). Population Studied: Adults without a prior AFib diagnosis. Context: Atrial fibrillation (AFib) significantly impacts patient morbidity and mortality, despite existing screening practices.

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Validation of an Administrative Knee Osteoarthritis Severity Index in a Veterans Health Affairs Cohort [Big data]

Annals of Family Medicine

Context: Administrative electronic health record (EHR) datasets offer a low-cost opportunity to investigate influences on knee osteoarthritis (OA) prevalence and outcomes such as total knee arthroplasty (TKA). The first OA diagnosis in record must occur from 2009-2014 and index date is OA diagnosis date. years (SD 8.8), 78.2%

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Factors Associated with Documenting Social Determinants of Health in Electronic Health Records by Family Physicians [Social determinants and vulnerable populations]

Annals of Family Medicine

Understanding SDOH documentation in electronic health records (EHRs) is crucial for care management to improve patient outcomes and mitigate health inequities. Objective: To explore how family physicians document SDOH in EHRs and identify factors influencing this practice Study Design and Analysis: A cross-sectional observational analysis.

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Oral versus intravenous antibiotics for the initial treatment of acute pyelonephritis in adults: a systematic review [Acute and emergency care]

Annals of Family Medicine

Context Acute pyelonephritis is a common diagnosis in the primary care and emergency settings. Study Design and Analysis Five electronic research databases were searched to identify randomized controlled trials (RCT) and non-randomized studies of interventions. Intervention N/A.

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Pain-Related Medication in Adults with Intellectual Disability: a systematic review [Pain management]

Annals of Family Medicine

Measures: Varied by study design; self/carer-report or electronic health records (EHR). There was over-prescribing of antipsychotic medication without an associated diagnosis. Outcome: Analgesic medication or medication for painful conditions, pain and pain-related MCCs, views/experience of pain medication.

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Effects of the COVID-19 pandemic on primary care for diabetes in Canada: Results from a mixed-methods study [Health care services, delivery, and financing]

Annals of Family Medicine

Setting & Dataset: The CPCSSN database contains de-identified patient-level electronic medical record data from 13 primary care research networks across Canada. Qualitative interviews were conducted with Ontario patients aged > 50 with diagnosis of (or receiving treatment for) type 2 diabetes prior to pandemic onset.

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Understanding the Relationship Between Social Needs and Cervical Cancer Screening [Screening, prevention, and health promotion]

Annals of Family Medicine

Context Cervical cancer remains a significant health concern and screening is crucial for early diagnosis. Study Design Cross-sectional study combining patients’ screening data from the electronic health record (EHR) with self-reported social needs. Little is known about how patients’ social needs (i.e.

Screening 130