| Literature DB >> 24400734 |
Jun J Mao1, Tiffany Tan, Susan Q Li, Salimah H Meghani, Karen Glanz, Deborah Bruner.
Abstract
BACKGROUND: As breast cancer patients increasingly use complementary and alternative medicine (CAM), clinical trials are needed to guide appropriate clinical use. We sought to identify socio-demographic, clinical and psychological factors related to willingness to participate (WTP) and to determine barriers to participation in an acupuncture clinical trial among breast cancer patients.Entities:
Mesh:
Year: 2014 PMID: 24400734 PMCID: PMC3893614 DOI: 10.1186/1472-6882-14-7
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Demographic and clinical characteristics of participants (N = 300)
| | |||
|---|---|---|---|
| 49.8 | | ||
| | | | |
| ≤55 | 71 | 60.6 | |
| 56-65 | 130 | 50.8 | |
| >65 | 96 | 40.6 | |
| | | | |
| White | 250 | 51.2 | 0.28 |
| Non-White | 47 | 42.6 | |
| | | | |
| High school or less | 121 | 35.5 | |
| College | 76 | 69.7 | |
| Graduate/professional school | 99 | 51.5 | |
| | | | |
| Full-time | 112 | 50.9 | 0.54 |
| Part-time | 40 | 42.5 | |
| Not currently | 141 | 52.5 | |
| | | 0.70 | |
| I | 99 | 45.4 | |
| II | 141 | 49.6 | |
| III | 32 | 53.1 | |
| | | 0.17 | |
| No | 118 | 44.9 | |
| Yes | 179 | 53.1 | |
| | | ||
| No | 106 | 40.6 | |
| Yes | 191 | 55.0 | |
| | | ||
| Exemestane | 57 | 43.9 | |
| Anastrazole | 171 | 46.8 | |
| Letrozole | 69 | 62.3 | |
| 23.5 | 21.7 | 0.11 | |
| | | ||
| No | 271 | 47.2 | |
| Yes | 26 | 76.9 | |
| | | ||
| No | 114 | 36.8 | |
| Yes | 183 | 57.9 | |
| | | ||
| None | 86 | 59.3 | |
| Yes | 211 | 46.0 | |
| | | ||
| None | 54 | 35.2 | |
| Mild/moderate | 189 | 51.8 | |
| Severe or more | 53 | 58.5 | |
| | | ||
| 11.5 | 4.07 |
Abbreviations: AI, Aromatase Inhibitor; CAM, complementary and alternative medicine.
*P-value obtained by Chi-2 for categorical and T-test for continuous outcomes.
Not all cells add up to 300 due to missing data.
Figure 1Barriers to participation differ by willingness to participate. *P < 0.001 by chi square analyses.
Socio-demographic factors and barriers to participation*
| | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | 0.90 | | | | | | | | | | | ||||||
| ≤55 | 34 | 47.9 | | 13 | 18.3 | | 29 | 40.9 | | 42 | 59.2 | | 44 | 62.0 | | 14 | 19.4 | |
| 56-65 | 58 | 45.0 | | 23 | 18.1 | | 53 | 41.4 | | 46 | 36.5 | | 54 | 42.5 | | 30 | 23.1 | |
| >65 | 42 | 44.7 | | 37 | 40.2 | | 52 | 55.9 | | 15 | 16.3 | | 33 | 35.5 | | 37 | 38.5 | |
| | | | | | | 0.27 | | | 0.42 | | | 0.96 | | | 0.43 | |||
| White | 120 | 48.6 | | 55 | 22.6 | | 109 | 44.5 | | 89 | 36.6 | | 110 | 45.1 | | 66 | 26.3 | |
| Non-White | 14 | 29.8 | | 18 | 38.3 | | 25 | 53.2 | | 14 | 30.4 | | 21 | 44.7 | | 15 | 31.9 | |
| | | 0.54 | | | | | | | 0.18 | | | 0.40 | | | ||||
| High school** | 59 | 48.8 | | 49 | 40.8 | | 68 | 56.2 | | 35 | 29.7 | | 57 | 47.5 | | 47 | 38.5 | |
| College | 30 | 40.5 | | 9 | 12.3 | | 24 | 32.9 | | 28 | 38.4 | | 28 | 38.4 | | 15 | 19.7 | |
| Graduate | 45 | 45.9 | | 15 | 15.6 | | 42 | 43.3 | | 40 | 41.2 | | 46 | 47.4 | | 19 | 19.2 | |
| | | 0.24 | | | | | | | | | | | 0.17 | |||||
| Full-time | 53 | 48.2 | | 21 | 19.1 | | 45 | 40.9 | | 79 | 71.2 | | 59 | 53.2 | | 27 | 23.9 | |
| Part-time | 21 | 53.9 | | 6 | 15.8 | | 14 | 35.9 | | 13 | 33.3 | | 20 | 51.3 | | 15 | 38.5 | |
| Not currently | 57 | 40.4 | 43 | 31.2 | 72 | 51.8 | 10 | 7.4 | 51 | 37.2 | 35 | 24.7 | ||||||
*Bivariate chi-square analysis.
**High school or less.
Factors related to willingness to participate: multivariate analysis
| | ||||||||
|---|---|---|---|---|---|---|---|---|
| | ||||||||
| | | |||||||
| | | | | | | | | |
| ≤55 | 1 | | 1 | | | | | |
| 56-65 | 0.67 (0.37-1.21) | 0.18 | 0.77 (0.38-1.58) | 0.48 | | | | |
| >65 | 0.44 (0.24-0.83) | 0.85 (0.40-1.83) | 0.68 | | | | | |
| | | | | | | | | |
| High school or less | 1 | | 1 | | | | 1 | |
| College | 4.18 (2.26-7.73) | < | 4.07 (1.97-8.42) | | | 4.24 (1.77-10.17) | ||
| Graduate | 1.93 (1.12-3.31) | 1.86 (0.97-3.56) | 0.062 | | | 1.27 (0.62-2.61) | 0.51 | |
| | | | | | | | | |
| No | 1 | | 1 | | | | 1 | |
| Yes | 1.79 (1.10-2.89) | 2.09 (1.16-3.76) | | | 2.72 (1.39-5.32) | |||
| | | | | | | | | |
| No | 1 | | 1 | | | | | |
| Yes | 2.36 (1.46-3.82) | 1.26 (0.71-2.24) | 0.43 | | | | | |
| | | | | | | | | |
| None | 1 | | 1 | | | | 1 | |
| Mild/moderate | 1.98 (1.06-3.71) | 2.06 (0.96-4.44) | 0.064 | | | 1.48 (0.61-3.57) | 0.38 | |
| Severe or more | 2.60 (1.19-5.67) | 3.49 (1.34-9.04) | | | 2.77 (0.89-8.59) | 0.078 | ||
| | | | | | | | | |
| No | 1 | | 1 | | | | | |
| Yes | 0.58 (0.35-0.97) | 0.65 (0.34-1.23) | 0.19 | | | | | |
| 1.19 (1.12-1.26) | 1.20 (1.12-1.28) | | | 1.17 (1.08-1.26) | ||||
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | 1 | |
| Agree | 0.27 (0.16-0.44) | | | 0.41 (0.23-0.75) | 0.36 (0.19-0.68) | |||
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | 1 | |
| Agree | 0.13 (0.069-0.26) | | | 0.34 (0.14-0.81) | 0.31 (0.13-0.78) | |||
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | | |
| Agree | 0.40 (0.24-0.64) | | | 0.96 (0.50-1.83) | 0.90 | | | |
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | | |
| Agree | 0.73 (0.45-1.18) | 0.196 | | | 1.10 (0.58-2.09) | 0.77 | | |
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | | |
| Agree | 0.39 (0.24-0.62) | | | 0.77 (0.41-1.42) | 0.40 | | | |
| | | | | | | | | |
| Disagree | 1 | | | | 1 | | | |
| Agree | 0.051(0.022-0.12) | 0.098 (0.040-0.24) | 0.12 (0.043-0.35) | |||||
*Model 1: Multivariate analysis on sociodemographic and clinical factors related to willingness to participate.
+Model 2: Multivariate analysis on barriers related to willingness to participate.
++Model 3: Multivariate analysis on factors significant in Model 2 and 3 related to willingness to participate.