Implicit bias assessment by career stage in medical education training: a narrative review
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| Vydáno v: | BMC Medical Education vol. 25 (2025), p. 1 |
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| Hlavní autor: | |
| Další autoři: | , , , |
| Vydáno: |
Springer Nature B.V.
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| Témata: | |
| On-line přístup: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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| 001 | 3165510021 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1472-6920 | ||
| 024 | 7 | |a 10.1186/s12909-024-06319-9 |2 doi | |
| 035 | |a 3165510021 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 58506 |2 nlm | ||
| 100 | 1 | |a Crump, Alisha | |
| 245 | 1 | |a Implicit bias assessment by career stage in medical education training: a narrative review | |
| 260 | |b Springer Nature B.V. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person based on individual characteristics. Early evaluation of implicit bias in medical training can prevent long-term adverse health outcomes related to racial bias. However, to our knowledge, no present studies examine the sequential assessment of implicit bias through the different stages of medical training. The objective of this narrative review is to examine the breadth of existing publications that assess implicit bias at the current levels of medical training, pre-medical, graduate, and postgraduate. Protocol for this study was drafted using the Scale for the Assessment of Narrative Reviews (SANRA). Keyword literature search on peer-reviewed databases Google Scholar, PubMed, Ebsco, ScienceDirect, and MedEd Portal from January 1, 2017, to March 1, 2022, was used to identify applicable research articles. The online database search identified 1,512 articles. Full screening resulted in 75 papers meeting the inclusion criteria. Over 50% of extracted papers (74%) were published between 2019 and 2021 and investigated implicit bias at the post-graduate level (43%), followed by the graduate level (34%), and pre-medical level (9.4%). Fourteen percent were classified as mixed. Studies at the medical and medical graduate level identified an implicit preference towards white, male, non-LGBTQIA+, thin, patients. Study findings highlight notable gaps within the sequential assessment of implicit bias, specifically at the pre-medical training level. Longitudinal epidemiological research is needed to examine the long-term effect of implicit biases on existing healthcare disparities. | |
| 651 | 4 | |a United States--US | |
| 653 | |a Sexual orientation | ||
| 653 | |a Socioeconomic factors | ||
| 653 | |a Medical education | ||
| 653 | |a Citation management software | ||
| 653 | |a Gender | ||
| 653 | |a Medical students | ||
| 653 | |a Bias | ||
| 653 | |a Racism | ||
| 653 | |a Focus groups | ||
| 653 | |a Decision making | ||
| 653 | |a Stereotypes | ||
| 653 | |a Race | ||
| 653 | |a Patients | ||
| 653 | |a Literature Reviews | ||
| 653 | |a Negative Attitudes | ||
| 653 | |a Outcomes of Treatment | ||
| 653 | |a Database Design | ||
| 653 | |a Individualized Instruction | ||
| 653 | |a Medical Evaluation | ||
| 653 | |a Training Methods | ||
| 653 | |a Premedical Students | ||
| 653 | |a Eligibility | ||
| 653 | |a Educational Assessment | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Cognitive Ability | ||
| 653 | |a Individual Characteristics | ||
| 700 | 1 | |a May Saad Al-Jorani | |
| 700 | 1 | |a Ahmed, Sunya | |
| 700 | 1 | |a Ekas Abrol | |
| 700 | 1 | |a Jain, Shikha | |
| 773 | 0 | |t BMC Medical Education |g vol. 25 (2025), p. 1 | |
| 786 | 0 | |d ProQuest |t Healthcare Administration Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3165510021/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3165510021/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3165510021/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |