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  1. 31601
    “…MAIN OUTCOMES AND MEASURES: Ambulatory care visits—overall and stratified by calendar year, geographic region, and patient age, sex, and race—in which an SMR was newly prescribed or continued were quantified. …”
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  2. 31602
    por Badawy, Sherif M, Radovic, Ana
    Publicado 2020
    “…Future studies should consider evaluating the following research areas related to telemedicine and other digital approaches: cost-effectiveness and return on investment; impact on quality of care; balance in use and number of visits needed for the management of both acute illness and chronic health conditions; system readiness for further adoption in other settings, such as inpatient services, subspecialist consultations, and rural areas; ongoing user-centered evaluations, with feedback from patients, families, and health care providers; strategies to optimize health equity and address disparities in access to care related to race and ethnicity, socioeconomic status, immigration status, and rural communities; privacy and security concerns for protected health information with Health Insurance Portability and Accountability Act (HIPAA)–secured programs; confidentiality issues for some specific populations, especially adolescents and those in need of mental health services; early detection of exposure to violence and child neglect; and integration of training into undergraduate and graduate medical education and subspecialty fellowships. …”
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  3. 31603
  4. 31604
    “…RESULTS: Participants with baseline CKD3 (N = 182) or CKD2 (N = 772) receiving EQW differed in a number of baseline characteristics, such as age < 65 years, race, mean body mass index and mean type 2 diabetes duration, whereas mean blood pressure and glycated haemoglobin (HbA(1c)) were similar. …”
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  5. 31605
    “…Patient and tumor characteristics included age, race/ethnicity, smoking status, alcohol use, comorbidities (respiratory, cardiovascular, immune, renal, endocrine), disease stage, human papillomavirus status, and treatment duration. …”
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  6. 31606
    “…The purpose of this study was to determine the effect of paddling at different cadences on the energy efficiency, economy, and physiological variables of international SUP race competitors. Methods: Ten male paddlers (age 28.8 ± 11.0 years; height 175.4 ± 5.1 m; body mass 74.2 ± 9.4 kg) participating in international tests carried out two test sessions. …”
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  7. 31607
    “…PURPOSE: Low socioeconomic status, race, ethnicity, and rural/remote populations are all associated with disparities in access, care, and outcomes for chronic kidney disease (CKD). …”
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  8. 31608
    “…Results differed by metropolitan area and maternal race. CONCLUSION: Similar to prior studies on redlining, we found that worsening HOLC grade was associated with adverse birth outcomes, although this relationship was less clear after propensity score matching and stratifying by metropolitan area. …”
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  9. 31609
    “…Sociodemographic factors including gender, race/ethnicity, and education were evaluated. Additionally, mobile health (mHealth)- and electronic health (eHealth)-related factors were evaluated including (1) the presence of health and wellness apps on a tablet or smartphone, (2) use of electronic devices other than tablets and smartphones to monitor health (eg, Fitbit, blood glucose monitor, and blood pressure monitor), and (3) whether people shared health information from an electronic monitoring device or smartphone with a health professional within the last 12 months. …”
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  10. 31610
    “…We estimated relative risks (RRs) and 95% confidence intervals (CIs) using fine stratification on the propensity score (PS) to control for over 70 confounders (e.g., maternal age, race/ethnicity, indications for gabapentin, other pain conditions, hypertension, diabetes, use of opioids, and specific morphine equivalents). …”
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  11. 31611
    “…Study limitations include the use of provisional data that may be incomplete and the lack of disaggregated data on county-level mortality by age, sex, race/ethnicity, and sociodemographic and health characteristics. …”
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  12. 31612
    “…Generic characteristics (age, sex, race/ethnicity, 2015 Index of Multiple Deprivation [IMD2015] in England quintiles, preadmission dependence, previous hospitalizations in the year preceding index sepsis admission, comorbidity, admission type, Acute Physiology and Chronic Health Evaluation II physiology score, hospital length of stay, worst blood lactate and blood hemoglobin concentrations, and type of hospital) and sepsis-specific characteristics (site of infection, numbers of organ dysfunctions, and organ support) at the index sepsis admission were used as predictors. …”
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  13. 31613
  14. 31614
    “…The search for vaccines that protect from severe morbidity and mortality as a result of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19) is a race against the clock and the virus. Several vaccine candidates are currently being tested in the clinic. …”
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  15. 31615
    “…Overall, POLR3G expression was associated with race, tumor status, tumor subtype, T classification, and pathological stage. …”
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  16. 31616
    “…CONCLUSIONS: When assessing the association of Black race with Covid-19, adjusting for deprivation reduced the relative risk of Covid-19 by 33%. …”
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  17. 31617
    “…After multivariate logistic regression, tumor size < 50 mm [Odds ratios (OR): 2.415, P = 0.05], resection (OR: 12.849, P < 0.01), and transplant (OR: 27.129, P < 0.01) showed significance for 5-year survival. Age > 60, sex, race, AJCC stages, metastasis, and LRT were not significant. …”
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  18. 31618
    “…Socioeconomic covariates included neighborhood disadvantage, race/ethnicity, homelessness, rurality, nursing home residence, reason for Medicare eligibility, Medicaid and Medicare dual eligibility, and VA priority. …”
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  19. 31619
    “…Other inclusion criteria included a focus on virtual care services that facilitate bidirectional patient-provider communication (ie, video, telephone, and asynchronous messaging visits) for underserved populations (ie, those who experience social disadvantage due to race, age, income, and other factors related to the social determinants of health). …”
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  20. 31620
    “…RESULTS: There were 13 104 patients included in the cohort—mean (SD) age was 75 (8) years, with 7622 female patients (58.2%), 897 patients (6.8%) identified as Black, 913 (7.0%) as Latinx, 3788 (28.9%) as Asian/Pacific Islander, and 748 (5.7%) as other minority race/ethnicity, and 2393 (18.3%) self-reported that they preferred to speak a non-English language. …”
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