ArticlePlastic and reconstructive surgery2010
Evidence-based medicine and hospital reform: tracing origins back to Florence Nightingale.
Article in Plastic and reconstructive surgery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Limited Evidence to Fully Determine the Implementation of Evidence-Based Practice by Healthcare Providers in Africa: A Systematic Review and Meta-Analysis.Journal of evidence-based medicine · 2025Pooled it
- Tracing the roots of One Health principles in nursing practice.One health (Amsterdam, Netherlands) · 2026Article
- The Folk Concept of Nursing in Australia: A Decolonising Conceptual Analysis.Nursing philosophy : an international journal for healthcare professionals · 2025Article
- Hidden figures of nursing: The historical contributions of Black nurses and a narrative for those who are unnamed, undocumented and underrepresented.Journal of advanced nursing · 2021Article
- Nursing and society: Evolution of Nursing and of capitalism in the 200 years of Florence Nightingale.Revista latino-americana de enfermagem · 2021Article
- Link of Patient Care Outcome to Occupational Differences in Response to Human Resource Management: A Cross-Sectional Comparative Study on Hospital Doctors and Nurses in China.International journal of environmental research and public health · 2020Article
- Quality improvement model (IHI) as a strategy to implement a sepsis protocol in a public hospital in Brazil.BMJ open quality · 2020Article
- The Sisters of Mercy in the Crimean War: Lessons for Catholic health care.The Linacre quarterly · 2017Article
- The outcomes movement and evidence-based medicine in plastic surgery.Clinics in plastic surgery · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The use of reliable evidence to evaluate health care interventions has gained strong support within the medical community and in the field of plastic surgery in particular. Evidence-based medicine aims to improve health care and reduce costs through the use of sound clinical evidence in evaluating treatments, procedures, and outcomes. The field is hardly new, however, and most trace its origins back to the work of Cochrane in the 1970s and Sackett in the 1990s. Though she wouldn't know it, Florence Nightingale was applying the concepts of evidence-based reform to the medical profession more than a century before. She used medical statistics to reveal the nature of infection in hospitals and on the battlefield. Moreover, Nightingale marshaled data and evidence to establish guidelines for health care reform. Tracing the origins of evidence-based medicine back to Nightingale underscores how critical this movement is to improving the quality and effectiveness of patient care today.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.