Numans ME
- (2024). Data Resource Profile: Extramural Leiden University Medical Center Academic Network (ELAN). International journal of epidemiology, 53(4). 10.1093/ije/dyae099
Themes: , Datasources: - (2023). The introduction of a data-driven population health management approach in the Netherlands since 2019: The Extramural LUMC Academic Network data infrastructure. Health policy (Amsterdam, Netherlands), 132(), 104769. 10.1016/j.healthpol.2023.104769
Themes: , Datasources:
Improving population health and reducing inequalities through better integrated health and social care services is high up on the agenda of policymakers internationally. In recent years, regional cross-domain partnerships have emerged in several countries, which aim to achieve better population health, quality of care and a reduction in the per capita costs. These cross-domain partnerships aim to have a strong data foundation and are committed to continuous learning in which data plays an essential role. This paper describes our approach towards the development of the regional integrative population-based data infrastructure Extramural LUMC (Leiden University Medical Center) Academic Network (ELAN), in which we linked routinely collected medical, social and public health data at the patient level from the greater The Hague and Leiden area. Furthermore, we discuss the methodological issues of routine care data and the lessons learned about privacy, legislation and reciprocities. The initiative presented in this paper is relevant for international researchers and policy-makers because a unique data infrastructure has been set up that contains data across different domains, providing insights into societal issues and scientific questions that are important for data driven population health management approaches. - (2023). Determinants of inappropriate antibiotic prescription in primary care in developed countries with general practitioners as gatekeepers: a systematic review and construction of a framework. BMJ open, 13(5), e065006. 10.1136/bmjopen-2022-065006
Themes: ThemeA , Datasources: Hospitaldata
This study aimed to identify determinants of inappropriate antibiotic prescription in primary care in developed countries and to construct a framework with the determinants to help understand which actions can best be targeted to counteract development of antimicrobial resistance (AMR). - (2022). Comparing antibiotic prescriptions in primary care between SARS-CoV-2 and influenza: a retrospective observational study. BJGP open, 6(4). 10.3399/BJGPO.2022.0049
Themes: ThemeC , Datasources: Gpdata Hospitaldata
Antibiotics are frequently prescribed during viral respiratory infection episodes in primary care. There is limited information about antibiotic prescription during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in primary care and its association with risk factors for an adverse course. - (2022). Cues to improve antibiotic-allergy registration: A mixed-method study. PloS one, 17(4), e0266473. 10.1371/journal.pone.0266473
Themes: ThemeA ThemeC , Datasources: Gpdata
Approximately 2% of patients in primary care practice and up to 25% of hospital patients are registered as being allergic to an antibiotic. However, up to 90% of these registrations are incorrect, leading to unnecessary prescription of 2nd choice antibiotics with the attendant loss of efficacy, increased toxicity and antibiotic resistance. To improve registration, a better understanding is needed of how incorrect labels are attributed.