| Literature DB >> 29687178 |
Julia Hackett1, Rachael Thorneloe1, Lucy Side2,3, Michael Wolf4, Rob Horne5, Jack Cuzick6, Samuel G Smith7,8.
Abstract
PURPOSE: Uptake of preventive therapy for women at increased breast cancer risk in England is unknown following the introduction of UK clinical guidelines in 2013. Preventive therapy could create socioeconomic inequalities in cancer incidence if it is more readily accepted by particular socio-demographic groups. In this multicentre study, we investigated uptake of tamoxifen and evaluated socio-demographic and clinical factors associated with initiation. We explored women's experiences of treatment decision-making using qualitative interview data.Entities:
Keywords: Breast cancer; Chemoprevention; Decision-making; Medication; Preventive therapy
Mesh:
Year: 2018 PMID: 29687178 PMCID: PMC6022517 DOI: 10.1007/s10549-018-4775-1
Source DB: PubMed Journal: Breast Cancer Res Treat ISSN: 0167-6806 Impact factor: 4.872
Uptake of breast cancer chemoprevention by participant characteristics and multivariable logistic regression model (n = 258)
| N (%) | Uptake (%) | OR (95% CI) | ||
|---|---|---|---|---|
| Children | ||||
| Yes | 205 (79.5) | 17.6 | 5.26 (1.13, 24.49) | 0.035 |
| No | 53 (20.5) | 3.8 | Ref | Ref |
| Ethnic group | ||||
| White | 247 (96.5) | 15.0 | 1.24 (0.13, 12.32) | 0.853 |
| Other | 9 (3.5) | 11.1 | Ref | Ref |
| Education level | ||||
| Degree or above | 116 (45.3) | 17.2 | 1.81 (0.85, 3.86) | 0.124 |
| Below degree level | 140 (54.7) | 12.9 | Ref | Ref |
| Health status | ||||
| Poor† | 11 (4.3) | 0 | – | – |
| Fair | 47 (18.4) | 10.6 | 0.83 (0.23, 2.99) | 0.774 |
| Good | 151 (59.0) | 16.6 | 1.28 (0.49, 3.37) | 0.611 |
| Excellent | 47 (18.4) | 14.9 | Ref | Ref |
| Risk level | ||||
| Moderate | 159 (61.6) | 15.1 | 0.93 (0.44, 1.98) | 0.856 |
| High | 97 (37.6) | 14.4 | Ref | Ref |
| Unclear† | 2 (0.8) | 0 | – | – |
| SES | ||||
| Low (most deprived) | 59 (23.2) | 11.9 | 1.13 (0.41, 3.09) | 0.815 |
| Middle | 86 (33.9) | 16.3 | 1.58 (0.67, 3.71) | 0.299 |
| High (least deprived) | 109 (42.9) | 14.7 | Ref | Ref |
| Employment | ||||
| Full-time | 221 (85.7) | 14.5 | Ref | Ref |
| All other employments | 37 (14.3) | 16.2 | 1.46 (0.53, 4.01) | 0.462 |
| Marital status | ||||
| Married or cohabiting | 198 (77.0) | 16.7 | 1.71 (0.53, 5.46) | 0.366 |
| Unmarried | 59 (23.0) | 8.5 | Ref | Ref |
†category not included in multivariable analyses due to insufficient cases. Numbers may not round to 258 due to missing data. The multivariable model included 235 respondents
Interview participant characteristics
| Pseudonym | Age (years) | Marital status | Ethnicity | Self-reported risk | Number of children |
|---|---|---|---|---|---|
| SD | 44 | Single | White British | Moderate | 0 |
| MC | 60 | Married | White British | Moderate | 2 |
| TT | 49 | Single | White British | High | 0 |
| PO | 52 | Single | White British | Moderate | 0 |
| LM | 53 | Cohabiting | White British | Moderate | 0 |
| AS | 53 | Married | White British | High | 2 |
| CD | 57 | Cohabiting | Greek Cypriot | Unsure | 0 |
| JP | 35 | Married | Asian | Moderate | 2 |
| PL | 46 | Married | White British | Unsure | 3 |
| LL | 47 | Married | White British | Moderate | 0 |
| RF | 26 | Single | Asian British | Moderate | 0 |
| VI | 40 | Cohabiting | White British | Moderate | 0 |
| EK | 48 | Single | White British | High | 0 |
| YN | 59 | Cohabiting | White British | High | 2 |
| JB | 38 | Married | White British | Unsure | 2 |
| KU | 45 | Divorced/separated | White British | High | 2 |