Cited by 67Health Sciences Research and EducationClinical practice guidelines implementationMeta-analysis and systematic reviews

Proof and Policy from Medical Research Evidence

Mulrow, Cynthia D., Lohr, Kathleen N.·2001·Journal of Health Politics, Policy and Law

Abstract

When judging the benefits and harms of health care and predicting patient prognosis, clinicians, researchers, and others must consider many types of evidence. Medical research evidence is part of the required knowledge base,and practitioners of evidence-based medicine must attempt to integrate the best available clinical evidence from systematic research with health professionals' expertise and patients' rights to be informed about diagnostic and therapeutic options available to them. Judging what constitutes sound evidence can be difficult because of, among other things, the sheer quantity,diversity, and complexity of medical evidence available today; the various scientific methods that have been advanced for assembling, evaluating, and interpreting such information; and the guides for applying medical research evidence to individual patients' situations. Recommendations based on sound research can then be brought forward as either guidelines or standards, and criteria exist by which valid guidelines and standards can be developed and promulgated. Nonetheless, gaps and deficiencies exist in current guidelines and in the methods for finding and synthesizing evidence. Interpreting and judging medical research involves subjective, not solely explicit, processes. Thus, developments in evidence-based medicine are an aid, but not a panacea,for definitively establishing benefits and harms of medical care, and the contributions that medical research evidence can make in any clinical or legal situation must be understood in a context in which judgment and values,understanding of probability, and tolerance for uncertainty all play a role.

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Registry

Crossref · 10.1215/03616878-26-2-249

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5 of 5 references verified0 citation errors · 0 not checkable

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  • Health policy outcomes may actually be, to a varying extent, subjectively derived despite the positive intent of EBDM.

    “Therefore, despite the positive intent of EBDM, health policy outcomes may actually be, to a varying extent, subjectively derived [22,23,33,40,45,61].”
  • The rational choice principle that governs EBDM assumes that policy makers have the required cognitive abilities and knowledge to interpret, process, understand, and determine the validity of scientific evidence relevant to policy decisions.

    “The rational choice principle that governs EBDM assumes that policy makers have the required cognitive abilities and knowledge to interpret, process, understand, and determine the validity of scientific evidence relevant to policy decisions [2,16,33,45].”
  • These assumptions are problematic, incomplete, and, in some cases, false according to decision-making literature.

    “However, these objectives and models collectively fail to consider the decision-making literature, which shows these assumptions are problematic, incomplete, and, in some cases, false [19,29-33].”

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Authors
Mulrow, C. D., & Lohr, K. N.
Affiliations
The University of Texas at San Antonio Health Science Center (US)
Venue
Journal of Health Politics, Policy and Law
Published
2001-04-01
Volume
26
Issue
2
Pages
249-266
ISSN
  • 0361-6878 (ISSN-L)
  • 1527-1927
OpenAlex
W2149954696
Cited by
67
References
5
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2021: 3 · 2020: 1 · 2017: 1 · 2013: 3 · 2012: 2
FWCI
1.66
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Health Politics Policy and Law (publishedVersion)
  • PubMed (publishedVersion)
  • Project Muse (Johns Hopkins University) (submittedVersion)
  • DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
evidence-based medicine, clinical guidelines, standard of care, evidence synthesis, uncertainty tolerance, patient prognosis, health policy
MeSH terms
Health Policy, Humans, Research Design, United States, Meta-Analysis as Topic, Reproducibility of Results, Practice Guidelines as Topic, Evidence-Based Medicine

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