Search Results - PHARMACOEPIDEMIOLOGY AND PUBLIC HEALTH PHARMACY

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    Pharmaceutical public health competencies for Thai pharmacists: A scoping review with expert consultation by Thanayut Auimekhakul, Siritree Suttajit, Puckwipa Suwannaprom

    “…The search criteria included “public health”, “health promotion”, “primary care”, “community pharmacy”, “pharmacy” and “pharmacist”. …”
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    The Danish National Hospital Medication Register: A Resource for Pharmacoepidemiology by Rosenkrantz O, Wheler J, Westphal Thrane MC, Pedersen L, Sørensen HT

    Published in Clinical Epidemiology (2024-11-01)
    “…Oscar Rosenkrantz,1,2 Jannik Wheler,1 Mats Christian Westphal Thrane,3 Lars Pedersen,1 Henrik Toft Sørensen1 1Department of Clinical Epidemiology and Center for Population Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark; 2Department of Anaesthesia, Centre of Head and Orthopaedics, Rigshospitalet, Copenhagen, Denmark; 3Danish Health Data Authority, Copenhagen, DenmarkCorrespondence: Oscar Rosenkrantz, Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43, 45, DK, Aarhus N, 8200, Denmark, Tel +45 87 16 72 12, Email oscar.oelrich.rosenkrantz@clin.au.dkBackground: The Danish National Hospital Medication Register (DHMR), one of the first nationwide in-hospital medication registries in the world, contains detailed information on medication administration and dispensing.Objective: To provide an overview of the information recorded in the DHMR and to highlight its strengths and limitations as a pharmacoepidemiological research tool.Methods: We reviewed the registry´s geographic and clinical specialty coverage and medications recorded according to the main groups of the Anatomical Therapeutic Chemical classification system.Results: From May 2018 through December 2023, the DHMR recorded data on more than 1.9 million unique patients from all approximately 50 public hospitals and associated hospital outpatient clinics, totaling 105.3 million recordings of hospital medication use. …”
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    Validity of the Updated Rx-Risk Index as a Disease Identification and Risk-Adjustment Tool for Use in Observational Health Studies by Widagdo I, Kerr M, Kalisch Ellett L, Schlegel C, Sadeqzadeh E, Wang A, Clarke AL, Pratt N

    Published in Clinical Interventions in Aging (2025-03-01)
    “…The Rx-Risk Index was a strong predictor of one-year mortality, suggesting it is a valid measure of overall health. This study demonstrates the Rx-Risk Index’s potential to enhance disease classification and risk adjustment in observational studies, supporting informed decision-making in health policy planning.Plain language summary: Administrative health claims data are increasingly accessible and play a crucial role in public health research. …”
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    Existing Data Sources for Clinical Epidemiology: The PHARMO Database Network by Kuiper JG, Bakker M, Penning-van Beest FJA, Herings RMC

    Published in Clinical Epidemiology (2020-04-01)
    “…Josephina G Kuiper,1,2 Marina Bakker,1 Fernie JA Penning-van Beest,1 Ron MC Herings1,3 1Department Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands; 2Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands; 3Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam, the NetherlandsCorrespondence: Josephina G Kuiper Tel +31 30 7440 800Email josine.kuiper@pharmo.nlAbstract: The PHARMO Database Network provides a unique opportunity to gain insight in the complete patient journey and healthcare in the Netherlands. …”
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    Linking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective S... by Peng Wu, Jillian H Hurst, Alexis French, Michael Chrestensen, Benjamin A Goldstein

    Published in JMIR Medical Informatics (2025-03-01)
    “… Abstract BackgroundPharmacoepidemiology studies using electronic health record (EHR) data typically rely on medication prescriptions to determine which patients have received a medication. …”
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