| Literature DB >> 18710522 |
Jenny Andersson1, Pär Salander, Marie Brandstetter-Hiltunen, Emma Knutsson, Katarina Hamberg.
Abstract
BACKGROUND: In many diseases men and women, for no apparent medical reason, are not offered the same investigations and treatment in health care. This may be due to staff's stereotypical preconceptions about men and women, i.e., gender bias. In the clinical situation it is difficult to know whether gender differences in management reflect physicians' gender bias or male and female patients' different needs or different ways of expressing their needs. To shed some light on these possibilities this study investigated to what extent it was possible to identify patients' sex when reading their blinded illness narratives, i.e., do male and female patients express themselves differently enough to be recognised as men and women without being categorised on beforehand?Entities:
Year: 2008 PMID: 18710522 PMCID: PMC2531179 DOI: 10.1186/1475-9276-7-21
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Distribution of letters and characteristics of participants in the test groups.
| Letters (N = 81) | Participants (N = 130) | |||||
| Number | Written by | Number | Men/Women | Medicine/ | ||
| Group A | 41 | 20/21 | 63 | 22/41 | 43/20 | |
| Group B | 40 | 22/18 | 67 | 23/44 | 44/23 | |
The letters sorted according to the percentage of correct decisions made about the patient's sex.
| Correct decision | Letter label | Number of | Patient's sex† |
| 0 – 5.0 | |||
| 5.1 – 10.0 | 32* | 1 (1.2) | 2 |
| 10.1 – 15.0 | 59 | 1 (1.2) | 2 |
| 15.1 – 20.0 | |||
| 20.1 – 25.0 | |||
| 25.1 – 30.0 | 4, 18, 25, 66 | 4 (4.9) | 2, 2, 2, 2 |
| 30.1 – 35.0 | 44, 79, 36, 37, | 4 (4.9) | 1, 1, 1, 2 |
| 35.1 – 40.0 | 68 | 1 (1.2) | 1 |
| 40.1 – 45.0 | 58, 55, 57 | 3 (3.7) | 2, 1, 1 |
| 45.1 – 50.0 | 33, 81, 6, 23, 75, 2, 22, 74* | 8 (9.9) | 2, 2, 1, 1, 2, 1, 2, 1 |
| 50.1 – 55.0 | 45*, 50, 53, 54, 30, 39 | 6 (7.4) | 2, 1, 2, 1, 2, 1 |
| 55.1 – 60.0 | 34, 13, 19 | 3 (3.7) | 1, 2, 2 |
| 60.1 – 65.0 | 15, 29, 38, 48, 63, 5, 20, 46, 43, 62, 65, 73, 80 | 13 (16.0) | 2, 2, 1, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1 |
| 65.1 – 70.0 | 10, 14, 72, 56, 60, 69, 1, 11, 17, 35 | 10 (12.3) | 2, 2, 1, 1, 1, 2, 1, 2, 1, 1 |
| 70.1 – 75.0 | 76, 7, 21, 52, 77, 31 | 6 (7.4) | 1, 1, 1, 2, 1, 1 |
| 75.1 – 80.0 | 64, 78, 3, 9, 26, 41, 51 | 7 (8.6) | 2, 1, 2, 1, 1, 2, 1 |
| 80.1 – 85.0 | 61, 71, 8, 40, 49 | 5 (6.2) | 2, 2, 2, 1, 2 |
| 85.1 – 90.0 | 27, 12, 47, 67, 28, 42, 70 | 7 (8.6) | 1, 1, 1, 1, 2, 1, 1 |
| 90.1 – 95.0 | 16 | 1 (1.2) | 1 |
| 95.1 – 100 | 24* | 1 (1.2) | 2 |
| Total | 81 (100) | ||
†1 = man, 2 = woman
*Letters further examined in the qualitative analysis.
Percentage of correct decisions about patient's sex made by male and female participants.
| All letters | Male letters | Female letters | p-values* | |
| Male participants | 61.2 | 65.7 | 55.9 | < 0.000 |
| Female participants | 62.0 | 64.8 | 58.5 | < 0.000 |
| All participants | 61.7 | 65.2 | 58.0 | < 0.000 |
* p-values comparing the success for male and female letters.