ArticleHeliyon2023
Nurses' implicit and explicit attitudes towards transgender people and the need for trans-affirming care.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Authentic Allyship for Trans and Gender Diverse People: A Patterns of Knowing Perspective in Nursing.Nursing philosophy : an international journal for healthcare professionals · 2026Article
- Experiences and Attitudes of Nurses Caring for People Undergoing Gender-Affirming Surgery: A Qualitative Study.Scandinavian journal of caring sciences · 2026Article
- A qualitative study on healthcare providers' biases towards transgender and gender diverse people accessing contraceptive care.Sexual and reproductive health matters · 2025Article
- The implicit and explicit attitudes of nursing students in Türkiye towards transgender individuals.BMC nursing · 2025Article
- The impact of negative urgency on implicit mobile phone addiction tendency among college freshmen in the context of social exclusion.Frontiers in psychology · 2024Article
- Implicit attitudes towards transgender people: reliability and validity of a single-target implicit association test.International journal of clinical and health psychology : IJCHPArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The primary objective of this study is to investigate the implicit and explicit attitudes of healthcare professionals - in particular nurses - towards transgender people. This is especially important in light of recent calls for improved Methods: We use publicly available data from the transgender version of the Implicit Association Test from 2020 to 2022. We focus on differences between three subsets of participant: (1) non-healthcare professionals (N = 177,810), (2) non-nursing healthcare professionals (N = 22,443) and (3) nursing healthcare professionals (N = 11,996). We present the results of parametric statistical tests (t-tests) and an ordinary least squares regression, to analyse the robustness of our results when controlling for a host of sociodemographic characteristics. Results: We find that non-healthcare professionals have significantly lower implicit bias towards transgender people compared to healthcare professionals. Further, within healthcare professionals, we find nurses have significantly higher implicit bias towards transgender people compared to non-nurses. We show how implicit bias and explicit attitudes are highly correlated. Further, we provide evidence that healthcare professionals - but in particular nurses - conflate sex and gender identity. Conclusion: Whilst nurses continue to have higher levels of implicit and explicit bias towards transgender people there remains a need to globally establish additional enhanced
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.