Literature DB >> 32168791

Causal Evidence and Dispositions in Medicine and Public Health.

Elena Rocca1, Rani Lill Anjum1.   

Abstract

Since the introduction of evidence-based medicine, there have been discussions about the epistemic primacy of randomised controlled trials (RCTs) for establishing causality in medicine and public health. A growing movement within philosophy of science calls instead for evidential pluralism: that we need more than one single method to investigate health outcomes. How should such evidential pluralism look in practice? How useful are the various methods available for causal inquiry? Further, how should different types of causal evidence be evaluated? This paper proposes a constructive answer and introduces a framework aimed at supporting scientists in developing appropriate methodological approaches for exploring causality. We start from the philosophical tradition that highlights intrinsic properties (dispositions, causal powers or capacities) as essential features of causality. This abstract idea has wide methodological implications. The paper explains how different methods, such as lab experiments, case studies, N-of-1 trials, case control studies, cohort studies, RCTs and patient narratives, all have some strengths and some limitations for picking out intrinsic causal properties. We explain why considering philosophy of causality is crucial for evaluating causality in the health sciences. In our proposal, we combine the various methods in a temporal process, which could then take us from an observed phenomenon (e.g., a correlation) to a causal hypothesis and, finally, to improved theoretical knowledge.

Entities:  

Keywords:  causality; dispositions; evidential pluralism; health outcomes; medicine; pharmacovigilance; predictions; public health; research methods

Year:  2020        PMID: 32168791     DOI: 10.3390/ijerph17061813

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  3 in total

1.  Dispositions and Causality Assessment in Pharmacovigilance: Proposing the Dx3 Approach for Assessing Causality with Small Data Sets.

Authors:  Rani Lill Anjum; Rebecca E Chandler; Elena Rocca
Journal:  Pharmaceut Med       Date:  2022-04-29

2.  Protracted withdrawal syndrome after stopping antidepressants: a descriptive quantitative analysis of consumer narratives from a large internet forum.

Authors:  Michael P Hengartner; Lukas Schulthess; Anders Sorensen; Adele Framer
Journal:  Ther Adv Psychopharmacol       Date:  2020-12-24

3.  The power of small data for personalized cancer care.

Authors:  Junqiang Zhao
Journal:  Asia Pac J Oncol Nurs       Date:  2022-05-20
  3 in total

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