Displaying all 2 publications

Abstract:
Sort:
  1. Zyoud AH, Abdullah NA
    Glob J Health Sci, 2016 Apr 29;8(12):57756.
    PMID: 27357892 DOI: 10.5539/gjhs.v8n12p197
    Medication error is a major issue in healthcare industry and significant efforts have been taken in recent years to comprehend factors that influence errors in medication. Therefore, the present study aims to examine individual factors that contribute to medication errors as perceived by nurses. 255 registered nurses working in different Jordanian public hospitals have been chosen as samples to collect the study data from. They were asked to complete a questionnaire to assess the perceived individual factors, specifically, on nursing mathematical calculation skills and training as well as knowledge on medication treatment as factors contributing to medication errors. The current study found that the nurses' mathematical calculation skills, training and their knowledge on medication treatment have significant relationship with medication error. This was proven as the study framework is able to explain 45.6% of the total variance. Consequently, it is recommended that healthcare authorities and hospitals in Jordan should focus on nursing knowledge in medication treatment and the nurses' ability to perform drug calculation in order to improve the medication system in Jordan.
  2. GBD 2023 LDL Cholesterol Collaborators, Razo C, DeCleene NK, Johnson CO, Stark BA, LeGrand K, et al.
    JAMA, 2026 Aug 25;336(8):673-698.
    PMID: 42525403 DOI: 10.1001/jama.2026.8628
    IMPORTANCE: Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C-related burden is critical for guiding prevention and treatment strategies.

    OBJECTIVES: To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends.

    DESIGN, SETTING, AND POPULATION: This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals.

    EXPOSURE: Population-level LDL-C concentrations.

    MAIN OUTCOMES AND MEASURES: Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C-attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals.

    RESULTS: In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C-attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings.

    CONCLUSIONS AND RELEVANCE: Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links