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  1. Article ; Online: ‘I can’t cope with multiple inputs’

    Trisha Greenhalgh / Emma Ladds / Laiba Husain / Caitríona Callan / Kyle Pattinson

    BMJ Open, Vol 12, Iss

    a qualitative study of the lived experience of ‘brain fog’ after COVID-19

    2022  Volume 2

    Keywords Medicine ; R
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Dark days for the Royal College of Physicians of London.

    Greenhalgh, Trish

    BMJ (Clinical research ed.)

    2024  Volume 384, Page(s) q771

    MeSH term(s) Humans ; London ; Societies, Medical ; Physicians ; Universities
    Language English
    Publishing date 2024-03-28
    Publishing country England
    Document type Editorial
    ZDB-ID 1362901-3
    ISSN 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    ISSN (online) 1756-1833
    ISSN 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    DOI 10.1136/bmj.q771
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Book: Einführung in die evidenzbasierte Medizin

    Greenhalgh, Trisha

    (Verlag Hans Huber, Programmbereich Medizin)

    2015  

    Title translation How to read a paper
    Author's details Trisha Greenhalgh
    Series title Verlag Hans Huber, Programmbereich Medizin
    Keywords Research ; Clinical Medicine ; Reading ; Evidenz-basierte Medizin
    Subject Evidence-based medicine ; Gutachtenbasierte Medizin ; Evidenzbasierte Medizin
    Subject code 616
    Language German
    Size 343 S. : graph. Darst., 24 cm
    Edition 3., vollst. überarb. Aufl.
    Publisher Huber
    Publishing place Bern
    Publishing country Switzerland
    Document type Book
    Note Aus dem Engl. übers. ; Literaturangaben
    Old title Ersatz von Einführung in die evidence based medicine
    HBZ-ID HT018603261
    ISBN 978-3-456-85473-1 ; 3-456-85473-0 ; 9783456954738 ; 9783456754734 ; 3456954735 ; 3456754736
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2015 A 1498 available for loan (reading room) Lesesaal EG

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  4. Article ; Online: COVID-19 and Primary Care: Taking Stock.

    Greenhalgh, Trisha

    Annals of family medicine

    2023  Volume 21, Issue 1, Page(s) 1–3

    MeSH term(s) Humans ; COVID-19 ; Primary Health Care
    Language English
    Publishing date 2023-01-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 2171425-3
    ISSN 1544-1717 ; 1544-1709
    ISSN (online) 1544-1717
    ISSN 1544-1709
    DOI 10.1370/afm.2935
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online ; E-Book: How to read a paper

    Greenhalgh, Trisha

    the basics of evidence-based medicine

    2014  

    Author's details Trisha Greenhalgh
    Keywords Evidence-Based Practice ; Research ; Journalism, Medical
    Language English
    Size 1 Online-Ressource (xxii, 261 Seiten), Illustrationen
    Edition Fifth edition
    Publisher Wiley BMJ Books
    Publishing place Chichester, West Sussex
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Note Includes bibliographical references and index
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019955611
    ISBN 978-1-118-80111-6 ; 9781118800966 ; 1-118-80111-3 ; 1118800966
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Books:

    Greenhalgh, Trish

    The British journal of general practice : the journal of the Royal College of General Practitioners

    2022  Volume 72, Issue 719, Page(s) 283

    MeSH term(s) Books ; COVID-19/complications ; COVID-19/therapy ; Health Behavior ; Humans ; Post-Acute COVID-19 Syndrome
    Language English
    Publishing date 2022-05-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1043148-2
    ISSN 1478-5242 ; 0035-8797 ; 0960-1643
    ISSN (online) 1478-5242
    ISSN 0035-8797 ; 0960-1643
    DOI 10.3399/bjgp22X719705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 100: Show issues

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  7. Article ; Online: Gray report: "Failures of leadership and judgement".

    Greenhalgh, Trish

    BMJ (Clinical research ed.)

    2022  Volume 376, Page(s) o273

    MeSH term(s) COVID-19 ; Humans ; Judgment ; Leadership ; Pandemics ; Politics ; SARS-CoV-2 ; United Kingdom
    Language English
    Publishing date 2022-02-01
    Publishing country England
    Document type Editorial
    ZDB-ID 1362901-3
    ISSN 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    ISSN (online) 1756-1833
    ISSN 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    DOI 10.1136/bmj.o273
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ua VI Zs.10: Show issues Location:
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  8. Book: How to read a paper

    Greenhalgh, Trisha

    the basics of evidence-based medicine

    2010  

    Author's details Trisha Greenhalgh
    Keywords Research ; Evidence-Based Medicine ; Reading
    Language English
    Size XVII, 238 S. : Ill., graph. Darst.
    Edition 4. ed.
    Publisher Wiley-Blackwell
    Publishing place Chichester
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT016370612
    ISBN 978-1-4443-3436-4 ; 1-4443-3436-0
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2010 A 2674 order for loan Magazin

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  9. Article: Miasmas, mental models and preventive public health: some philosophical reflections on science in the COVID-19 pandemic.

    Greenhalgh, Trisha

    Interface focus

    2021  Volume 11, Issue 6, Page(s) 20210017

    Abstract: When the history of the COVID-19 pandemic is written, it is likely to show that the mental models held by scientists sometimes facilitated their thinking, thereby leading to lives saved, and at other times constrained their thinking, thereby leading to ... ...

    Abstract When the history of the COVID-19 pandemic is written, it is likely to show that the mental models held by scientists sometimes facilitated their thinking, thereby leading to lives saved, and at other times constrained their thinking, thereby leading to lives lost. This paper explores some competing mental models of how infectious diseases spread and shows how these models influenced the scientific process and the kinds of facts that were generated, legitimized and used to support policy. A central theme in the paper is the relative weight given by dominant scientific voices to probabilistic arguments based on experimental measurements versus mechanistic arguments based on theory. Two examples are explored: the cholera epidemic in nineteenth century London-in which the story of John Snow and the Broad Street pump is retold-and the unfolding of the COVID-19 pandemic in 2020 and early 2021-in which the evidence-based medicine movement and its hierarchy of evidence features prominently. In each case, it is shown that prevailing mental models-which were assumed by some to transcend theory but were actually heavily theory-laden-powerfully shaped both science and policy, with fatal consequences for some.
    Language English
    Publishing date 2021-10-12
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2042-8898
    ISSN 2042-8898
    DOI 10.1098/rsfs.2021.0017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Moral uncertainty: A case study of Covid-19.

    Greenhalgh, Trisha

    Patient education and counseling

    2021  Volume 104, Issue 11, Page(s) 2643–2647

    Abstract: Background: Most writing about uncertainty in healthcare has addressed empirical uncertainty - that is, resulting from insufficient or conflicting facts.: Objective: To consider moral uncertainty by exploring how different theories apply to a single ... ...

    Abstract Background: Most writing about uncertainty in healthcare has addressed empirical uncertainty - that is, resulting from insufficient or conflicting facts.
    Objective: To consider moral uncertainty by exploring how different theories apply to a single clinical case.
    Method: In this philosophical reflection, I briefly acknowledge empirical uncertainty before introducing and exploring the topic of moral uncertainty - defined as the question of what to do when we do not know what (morally) to do-using a case study of my own mother's deterioration and death from Covid-19.
    Results: I identify and apply a number of philosophical theories relevant to managing moral uncertainty, including utilitarianism, deontology, practical rationality and feminist philosophy.
    Conclusion: Different moral theories lead to different conclusions about the best course of action in situations of moral uncertainty.
    Practice implications: Detailed analysis and close reading of a single case can provide insights into how to act in morally complex situations, but learning is in the form of enriched understanding, not formulaic rules.
    MeSH term(s) COVID-19 ; Ethical Theory ; Humans ; Morals ; SARS-CoV-2 ; Uncertainty
    Language English
    Publishing date 2021-07-15
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605590-4
    ISSN 1873-5134 ; 0738-3991
    ISSN (online) 1873-5134
    ISSN 0738-3991
    DOI 10.1016/j.pec.2021.07.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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